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	diff --git a/Available_area/ML_available_area.ipynb b/Available_area/ML_available_area.ipynb
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	+{
	+ "cells": [
	+ {
	+ "cell_type": "code",
	+ "execution_count": 1,
	+ "metadata": {},
	+ "outputs": [
	+ {
	+ "name": "stderr",
	+ "output_type": "stream",
	+ "text": [
	+ "/Applications/anaconda2/envs/py3/lib/python3.6/site-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n",
	+ " from ._conv import register_converters as _register_converters\n"
	+ ]
	+ }
	+ ],
	+ "source": [
	+ "import numpy as np\n",
	+ "import pandas as pd\n",
	+ "import xarray as xr\n",
	+ "import os\n",
	+ "\n",
	+ "from sklearn.ensemble import RandomForestRegressor\n",
	+ "from sklearn.metrics import mean_squared_error as mse\n",
	+ "from sklearn.metrics import mean_absolute_error as mae\n",
	+ "from sklearn.model_selection import cross_val_predict\n",
	+ "import scipy.spatial as spatial\n",
	+ "\n",
	+ "from pvlib.solarposition import get_solarposition\n",
	+ "\n",
	+ "import util\n",
	+ "import matplotlib\n",
	+ "%matplotlib notebook\n",
	+ "import matplotlib.pyplot as plt"
	+ ]
	+ },
	+ {
	+ "cell_type": "markdown",
	+ "metadata": {},
	+ "source": [
	+ "### Load training data"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 2,
	+ "metadata": {},
	+ "outputs": [],
	+ "source": [
	+ "fp = '/Users/alinawalch/Documents/EPFL/data/rooftops/TRN_available_area_data_all.csv'\n",
	+ "learning_table = pd.read_csv(fp)"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 3,
	+ "metadata": {},
	+ "outputs": [
	+ {
	+ "data": {
	+ "text/plain": [
	+ "Index(['DF_UID', 'FLAECHE', 'NEIGUNG', 'AUSRICHTUNG', 'XCOORD', 'YCOORD',\n",
	+ " 'Shape_Length', 'Shape_Area', 'GWR_EGID', 'GBAUP', 'GKAT', 'GAREA',\n",
	+ " 'GASTW', 'GKODX', 'GKODY', 'Shape_Ratio', 'n_neighbors_100',\n",
	+ " 'Estim_build_area', 'n_corners', 'panel_tilt', 'best_align',\n",
	+ " 'panelled_area_ratio_ftr', 'shaded_area_ratio_ftr',\n",
	+ " 'shaded_area_ratio_tgt', 'tilt_cat', 'orientation_cat',\n",
	+ " 'available_area_ratio', 'panelled_area_ratio_tgt'],\n",
	+ " dtype='object')"
	+ ]
	+ },
	+ "execution_count": 3,
	+ "metadata": {},
	+ "output_type": "execute_result"
	+ }
	+ ],
	+ "source": [
	+ "learning_table.columns"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 22,
	+ "metadata": {},
	+ "outputs": [
	+ {
	+ "data": {
	+ "text/plain": [
	+ "154824"
	+ ]
	+ },
	+ "execution_count": 22,
	+ "metadata": {},
	+ "output_type": "execute_result"
	+ }
	+ ],
	+ "source": [
	+ "len(learning_table)"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 24,
	+ "metadata": {},
	+ "outputs": [],
	+ "source": [
	+ "equal_area = learning_table[np.round(learning_table.panelled_area_ratio_ftr,4) == np.round(learning_table.panelled_area_ratio_tgt,4)]"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 25,
	+ "metadata": {},
	+ "outputs": [
	+ {
	+ "data": {
	+ "text/plain": [
	+ "121737"
	+ ]
	+ },
	+ "execution_count": 25,
	+ "metadata": {},
	+ "output_type": "execute_result"
	+ }
	+ ],
	+ "source": [
	+ "len(equal_area)"
	+ ]
	+ },
	+ {
	+ "cell_type": "markdown",
	+ "metadata": {},
	+ "source": [
	+ "### Create table with features and labels\n",
	+ "Possible features for available area are:\n",
	+ "##### Roof data\n",
	+ "- Slope (NEIGUNG)\n",
	+ "- Aspect (AUSRICHTUNG)\n",
	+ "- Roof area (FLAECHE)\n",
	+ "- Roof perimeter (Shape_Length)\n",
	+ "- Roof shape ratio (Shape_Ratio, i.e. Shape_Length / FLAECHE)\n",
	+ "- Roof vertices (n_corners)\n",
	+ "- Panel tilt (different for flat roofs, panel_tilt)\n",
	+ "- ? panel alignment ?\n",
	+ "\n",
	+ "##### Building data\n",
	+ "- Number of floors (GASTW)\n",
	+ "- Period of construction (GBAUP)\n",
	+ "- Building area (GAREA)\n",
	+ "- Building category (GKAT)\n",
	+ "- Number of neighbors (n_neighbors_100, 100m radius)\n",
	+ "\n",
	+ "##### Approximate ratios\n",
	+ "- Approximate shaded area ratio (shaded_area_ratio_ftr, based on 2m res. DOM)\n",
	+ "- Approximate panelled area ratio (panelled_area_ratio_ftr, based on roofs without superstructures)"
	+ ]
	+ },
	+ {
	+ "cell_type": "markdown",
	+ "metadata": {},
	+ "source": [
	+ "# Machine Learning"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 4,
	+ "metadata": {},
	+ "outputs": [],
	+ "source": [
	+ "label_name = ['shaded_area_ratio_tgt', 'panelled_area_ratio_tgt']\n",
	+ "identifier = 'DF_UID'\n",
	+ "\n",
	+ "# choose from: \n",
	+ "# -'shaded_area_ratio_ftr', 'panelled_area_ratio_ftr' (approximate ratios)\n",
	+ "# -'NEIGUNG', 'AUSRICHTUNG', 'FLAECHE', 'Shape_Length', 'Shape_Ratio', 'n_corners', 'panel_tilt' (rooftop info)\n",
	+ "# -'GASTW', 'GBAUP', 'GKAT', 'GAREA', 'n_neighbors_100' (GWR info)\n",
	+ "\n",
	+ "all_features = ['shaded_area_ratio_ftr', 'panelled_area_ratio_ftr', \n",
	+ " 'NEIGUNG', 'AUSRICHTUNG', 'FLAECHE', 'Shape_Length', 'Shape_Ratio', 'n_corners', 'panel_tilt',\n",
	+ " 'GASTW', 'GBAUP', 'GKAT', 'GAREA', 'n_neighbors_100']\n",
	+ "\n",
	+ "feature_names = all_features"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 5,
	+ "metadata": {},
	+ "outputs": [
	+ {
	+ "name": "stdout",
	+ "output_type": "stream",
	+ "text": [
	+ "Baseline MSE: 0.022830\n",
	+ "Baseline MSE (shading): 0.054517\n",
	+ "Baseline MSE (panelling): 0.012738\n"
	+ ]
	+ }
	+ ],
	+ "source": [
	+ "# Baseline mse:\n",
	+ "av_area_ratio_ftr = (1 - learning_table.shaded_area_ratio_ftr) * learning_table.panelled_area_ratio_ftr\n",
	+ "print( 'Baseline MSE: %f' %mse(av_area_ratio_ftr, learning_table[ 'available_area_ratio' ]))\n",
	+ "print( 'Baseline MSE (shading): %f' %mse(learning_table.shaded_area_ratio_ftr, learning_table[ 'shaded_area_ratio_tgt' ]))\n",
	+ "print( 'Baseline MSE (panelling): %f' %mse(learning_table.panelled_area_ratio_ftr, learning_table[ 'panelled_area_ratio_tgt' ]))"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 6,
	+ "metadata": {},
	+ "outputs": [
	+ {
	+ "name": "stdout",
	+ "output_type": "stream",
	+ "text": [
	+ "Baseline RMSE: 0.151095\n",
	+ "Baseline RMSE (shading): 0.233488\n",
	+ "Baseline RMSE (panelling): 0.112861\n"
	+ ]
	+ }
	+ ],
	+ "source": [
	+ "print( 'Baseline RMSE: %f' %np.sqrt(mse(av_area_ratio_ftr, learning_table[ 'available_area_ratio' ])))\n",
	+ "print( 'Baseline RMSE (shading): %f' %np.sqrt(mse(learning_table.shaded_area_ratio_ftr, learning_table[ 'shaded_area_ratio_tgt' ])))\n",
	+ "print( 'Baseline RMSE (panelling): %f' %np.sqrt(mse(learning_table.panelled_area_ratio_ftr, learning_table[ 'panelled_area_ratio_tgt' ])))"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 7,
	+ "metadata": {},
	+ "outputs": [
	+ {
	+ "name": "stdout",
	+ "output_type": "stream",
	+ "text": [
	+ "Baseline MAE: 0.090179\n",
	+ "Baseline MAE (shading): 0.132462\n",
	+ "Baseline MAE (panelling): 0.041571\n"
	+ ]
	+ }
	+ ],
	+ "source": [
	+ "print('Baseline MAE: %f' %mae(av_area_ratio_ftr, learning_table[ 'available_area_ratio' ]))\n",
	+ "print('Baseline MAE (shading): %f' %mae(learning_table.shaded_area_ratio_ftr, learning_table.shaded_area_ratio_tgt))\n",
	+ "print('Baseline MAE (panelling): %f' %mae(learning_table.panelled_area_ratio_ftr, learning_table.panelled_area_ratio_tgt))"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 8,
	+ "metadata": {},
	+ "outputs": [
	+ {
	+ "name": "stdout",
	+ "output_type": "stream",
	+ "text": [
	+ "Baseline MBE: 0.078318\n",
	+ "Baseline MBE (shading): -0.103875\n",
	+ "Baseline MBE (panelling): 0.041277\n"
	+ ]
	+ }
	+ ],
	+ "source": [
	+ "print('Baseline MBE: %f' %np.mean(av_area_ratio_ftr - learning_table[ 'available_area_ratio' ]))\n",
	+ "print('Baseline MBE (shading): %f' %np.mean(learning_table.shaded_area_ratio_ftr - learning_table.shaded_area_ratio_tgt))\n",
	+ "print('Baseline MBE (panelling): %f' %np.mean(learning_table.panelled_area_ratio_ftr - learning_table.panelled_area_ratio_tgt))"
	+ ]
	+ },
	+ {
	+ "cell_type": "markdown",
	+ "metadata": {},
	+ "source": [
	+ "Tests:\n",
	+ "- 14 features in total\n",
	+ "- Total options of combinations: 14 CHOOSE K"
	+ ]
	+ },
	+ {
	+ "cell_type": "markdown",
	+ "metadata": {},
	+ "source": [
	+ "n_features = len(feature_names)\n",
	+ "max_trials = 20\n",
	+ "#. for i in range(len(feature_names)):\n",
	+ "i=0\n",
	+ "n_permutations = comb(n_features, i) "
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 10,
	+ "metadata": {},
	+ "outputs": [],
	+ "source": [
	+ "tr_ratio = 0.8\n",
	+ "ind = np.random.permutation(len(learning_table))\n",
	+ "tr_ind = int( tr_ratio * len(learning_table) )\n",
	+ "\n",
	+ "training = learning_table.loc[ ind[ : tr_ind ] , :]\n",
	+ "validation = learning_table.loc[ ind[ tr_ind : ] , :]"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 11,
	+ "metadata": {
	+ "scrolled": true
	+ },
	+ "outputs": [
	+ {
	+ "data": {
	+ "text/html": [
	+ "<div>\n",
	+ "<style scoped>\n",
	+ " .dataframe tbody tr th:only-of-type {\n",
	+ " vertical-align: middle;\n",
	+ " }\n",
	+ "\n",
	+ " .dataframe tbody tr th {\n",
	+ " vertical-align: top;\n",
	+ " }\n",
	+ "\n",
	+ " .dataframe thead th {\n",
	+ " text-align: right;\n",
	+ " }\n",
	+ "</style>\n",
	+ "<table border=\"1\" class=\"dataframe\">\n",
	+ " <thead>\n",
	+ " <tr style=\"text-align: right;\">\n",
	+ " <th></th>\n",
	+ " <th>DF_UID</th>\n",
	+ " <th>FLAECHE</th>\n",
	+ " <th>NEIGUNG</th>\n",
	+ " <th>AUSRICHTUNG</th>\n",
	+ " <th>XCOORD</th>\n",
	+ " <th>YCOORD</th>\n",
	+ " <th>Shape_Length</th>\n",
	+ " <th>Shape_Area</th>\n",
	+ " <th>GWR_EGID</th>\n",
	+ " <th>GBAUP</th>\n",
	+ " <th>...</th>\n",
	+ " <th>n_corners</th>\n",
	+ " <th>panel_tilt</th>\n",
	+ " <th>best_align</th>\n",
	+ " <th>panelled_area_ratio_ftr</th>\n",
	+ " <th>shaded_area_ratio_ftr</th>\n",
	+ " <th>shaded_area_ratio_tgt</th>\n",
	+ " <th>tilt_cat</th>\n",
	+ " <th>orientation_cat</th>\n",
	+ " <th>available_area_ratio</th>\n",
	+ " <th>panelled_area_ratio_tgt</th>\n",
	+ " </tr>\n",
	+ " </thead>\n",
	+ " <tbody>\n",
	+ " <tr>\n",
	+ " <th>0</th>\n",
	+ " <td>4817410.0</td>\n",
	+ " <td>71.487047</td>\n",
	+ " <td>10.0</td>\n",
	+ " <td>127.0</td>\n",
	+ " <td>503491.325015</td>\n",
	+ " <td>134197.490397</td>\n",
	+ " <td>33.936595</td>\n",
	+ " <td>70.390620</td>\n",
	+ " <td>295070969.0</td>\n",
	+ " <td>8011.0</td>\n",
	+ " <td>...</td>\n",
	+ " <td>4</td>\n",
	+ " <td>10</td>\n",
	+ " <td>vertical</td>\n",
	+ " <td>0.805740</td>\n",
	+ " <td>0.117647</td>\n",
	+ " <td>0.166667</td>\n",
	+ " <td>shallow_tilt</td>\n",
	+ " <td>N</td>\n",
	+ " <td>0.671450</td>\n",
	+ " <td>0.805740</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>1</th>\n",
	+ " <td>4817425.0</td>\n",
	+ " <td>36.859836</td>\n",
	+ " <td>37.0</td>\n",
	+ " <td>33.0</td>\n",
	+ " <td>503503.812619</td>\n",
	+ " <td>134131.833522</td>\n",
	+ " <td>28.208608</td>\n",
	+ " <td>29.339500</td>\n",
	+ " <td>1004090.0</td>\n",
	+ " <td>8012.0</td>\n",
	+ " <td>...</td>\n",
	+ " <td>4</td>\n",
	+ " <td>37</td>\n",
	+ " <td>equal</td>\n",
	+ " <td>0.390669</td>\n",
	+ " <td>0.000000</td>\n",
	+ " <td>0.386555</td>\n",
	+ " <td>medium_tilt</td>\n",
	+ " <td>SW</td>\n",
	+ " <td>0.106513</td>\n",
	+ " <td>0.173631</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>2</th>\n",
	+ " <td>4817426.0</td>\n",
	+ " <td>51.333864</td>\n",
	+ " <td>31.0</td>\n",
	+ " <td>-57.0</td>\n",
	+ " <td>503509.783165</td>\n",
	+ " <td>134135.282805</td>\n",
	+ " <td>40.053428</td>\n",
	+ " <td>44.043504</td>\n",
	+ " <td>1004090.0</td>\n",
	+ " <td>8012.0</td>\n",
	+ " <td>...</td>\n",
	+ " <td>7</td>\n",
	+ " <td>31</td>\n",
	+ " <td>horizontal</td>\n",
	+ " <td>0.155843</td>\n",
	+ " <td>0.000000</td>\n",
	+ " <td>0.119318</td>\n",
	+ " <td>medium_tilt</td>\n",
	+ " <td>SE</td>\n",
	+ " <td>0.137248</td>\n",
	+ " <td>0.155843</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>3</th>\n",
	+ " <td>4817427.0</td>\n",
	+ " <td>36.861447</td>\n",
	+ " <td>37.0</td>\n",
	+ " <td>-147.0</td>\n",
	+ " <td>503510.594159</td>\n",
	+ " <td>134142.188986</td>\n",
	+ " <td>28.210273</td>\n",
	+ " <td>29.341346</td>\n",
	+ " <td>1004090.0</td>\n",
	+ " <td>8012.0</td>\n",
	+ " <td>...</td>\n",
	+ " <td>4</td>\n",
	+ " <td>37</td>\n",
	+ " <td>horizontal</td>\n",
	+ " <td>0.390652</td>\n",
	+ " <td>0.166667</td>\n",
	+ " <td>0.322034</td>\n",
	+ " <td>medium_tilt</td>\n",
	+ " <td>N</td>\n",
	+ " <td>0.147138</td>\n",
	+ " <td>0.217029</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>4</th>\n",
	+ " <td>4817428.0</td>\n",
	+ " <td>81.256555</td>\n",
	+ " <td>28.0</td>\n",
	+ " <td>123.0</td>\n",
	+ " <td>503504.226918</td>\n",
	+ " <td>134138.960671</td>\n",
	+ " <td>37.840077</td>\n",
	+ " <td>71.574129</td>\n",
	+ " <td>1004090.0</td>\n",
	+ " <td>8012.0</td>\n",
	+ " <td>...</td>\n",
	+ " <td>4</td>\n",
	+ " <td>28</td>\n",
	+ " <td>vertical</td>\n",
	+ " <td>0.708866</td>\n",
	+ " <td>0.333333</td>\n",
	+ " <td>0.077193</td>\n",
	+ " <td>medium_tilt</td>\n",
	+ " <td>N</td>\n",
	+ " <td>0.654146</td>\n",
	+ " <td>0.708866</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>5</th>\n",
	+ " <td>4817429.0</td>\n",
	+ " <td>11.397236</td>\n",
	+ " <td>27.0</td>\n",
	+ " <td>-144.0</td>\n",
	+ " <td>503512.070989</td>\n",
	+ " <td>134135.795686</td>\n",
	+ " <td>15.417311</td>\n",
	+ " <td>10.154872</td>\n",
	+ " <td>1004090.0</td>\n",
	+ " <td>8012.0</td>\n",
	+ " <td>...</td>\n",
	+ " <td>3</td>\n",
	+ " <td>27</td>\n",
	+ " <td>equal</td>\n",
	+ " <td>0.140385</td>\n",
	+ " <td>0.000000</td>\n",
	+ " <td>0.075000</td>\n",
	+ " <td>medium_tilt</td>\n",
	+ " <td>N</td>\n",
	+ " <td>0.129856</td>\n",
	+ " <td>0.140385</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>6</th>\n",
	+ " <td>4817431.0</td>\n",
	+ " <td>174.501987</td>\n",
	+ " <td>31.0</td>\n",
	+ " <td>-147.0</td>\n",
	+ " <td>503503.978942</td>\n",
	+ " <td>134181.171146</td>\n",
	+ " <td>59.815925</td>\n",
	+ " <td>149.165008</td>\n",
	+ " <td>1004088.0</td>\n",
	+ " <td>8011.0</td>\n",
	+ " <td>...</td>\n",
	+ " <td>4</td>\n",
	+ " <td>31</td>\n",
	+ " <td>vertical</td>\n",
	+ " <td>0.806868</td>\n",
	+ " <td>0.135135</td>\n",
	+ " <td>0.020101</td>\n",
	+ " <td>medium_tilt</td>\n",
	+ " <td>N</td>\n",
	+ " <td>0.790649</td>\n",
	+ " <td>0.806868</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>7</th>\n",
	+ " <td>4817432.0</td>\n",
	+ " <td>174.108293</td>\n",
	+ " <td>31.0</td>\n",
	+ " <td>33.0</td>\n",
	+ " <td>503500.517066</td>\n",
	+ " <td>134175.889168</td>\n",
	+ " <td>59.775896</td>\n",
	+ " <td>148.702405</td>\n",
	+ " <td>1004088.0</td>\n",
	+ " <td>8011.0</td>\n",
	+ " <td>...</td>\n",
	+ " <td>4</td>\n",
	+ " <td>31</td>\n",
	+ " <td>vertical</td>\n",
	+ " <td>0.808692</td>\n",
	+ " <td>0.131579</td>\n",
	+ " <td>0.161345</td>\n",
	+ " <td>medium_tilt</td>\n",
	+ " <td>SW</td>\n",
	+ " <td>0.678214</td>\n",
	+ " <td>0.808692</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>8</th>\n",
	+ " <td>4817433.0</td>\n",
	+ " <td>69.216255</td>\n",
	+ " <td>26.0</td>\n",
	+ " <td>33.0</td>\n",
	+ " <td>503510.917446</td>\n",
	+ " <td>134191.713704</td>\n",
	+ " <td>45.633223</td>\n",
	+ " <td>61.997846</td>\n",
	+ " <td>295084893.0</td>\n",
	+ " <td>8011.0</td>\n",
	+ " <td>...</td>\n",
	+ " <td>5</td>\n",
	+ " <td>26</td>\n",
	+ " <td>horizontal</td>\n",
	+ " <td>0.508551</td>\n",
	+ " <td>0.000000</td>\n",
	+ " <td>0.060241</td>\n",
	+ " <td>medium_tilt</td>\n",
	+ " <td>SW</td>\n",
	+ " <td>0.260681</td>\n",
	+ " <td>0.277391</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>9</th>\n",
	+ " <td>4817434.0</td>\n",
	+ " <td>26.716480</td>\n",
	+ " <td>31.0</td>\n",
	+ " <td>-147.0</td>\n",
	+ " <td>503517.020358</td>\n",
	+ " <td>134191.118711</td>\n",
	+ " <td>23.687927</td>\n",
	+ " <td>22.959133</td>\n",
	+ " <td>295084893.0</td>\n",
	+ " <td>8011.0</td>\n",
	+ " <td>...</td>\n",
	+ " <td>5</td>\n",
	+ " <td>31</td>\n",
	+ " <td>horizontal</td>\n",
	+ " <td>0.479105</td>\n",
	+ " <td>0.000000</td>\n",
	+ " <td>0.000000</td>\n",
	+ " <td>medium_tilt</td>\n",
	+ " <td>N</td>\n",
	+ " <td>0.479105</td>\n",
	+ " <td>0.479105</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>10</th>\n",
	+ " <td>4817435.0</td>\n",
	+ " <td>26.018729</td>\n",
	+ " <td>31.0</td>\n",
	+ " <td>-147.0</td>\n",
	+ " <td>503507.806109</td>\n",
	+ " <td>134197.114437</td>\n",
	+ " <td>23.199036</td>\n",
	+ " <td>22.360589</td>\n",
	+ " <td>295084893.0</td>\n",
	+ " <td>8011.0</td>\n",
	+ " <td>...</td>\n",
	+ " <td>5</td>\n",
	+ " <td>31</td>\n",
	+ " <td>horizontal</td>\n",
	+ " <td>0.491953</td>\n",
	+ " <td>0.000000</td>\n",
	+ " <td>0.000000</td>\n",
	+ " <td>medium_tilt</td>\n",
	+ " <td>N</td>\n",
	+ " <td>0.491953</td>\n",
	+ " <td>0.491953</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>11</th>\n",
	+ " <td>4817436.0</td>\n",
	+ " <td>13.309012</td>\n",
	+ " <td>33.0</td>\n",
	+ " <td>123.0</td>\n",
	+ " <td>503512.471353</td>\n",
	+ " <td>134196.622116</td>\n",
	+ " <td>15.096068</td>\n",
	+ " <td>11.164928</td>\n",
	+ " <td>295084893.0</td>\n",
	+ " <td>8011.0</td>\n",
	+ " <td>...</td>\n",
	+ " <td>6</td>\n",
	+ " <td>33</td>\n",
	+ " <td>equal</td>\n",
	+ " <td>0.240439</td>\n",
	+ " <td>0.000000</td>\n",
	+ " <td>0.266667</td>\n",
	+ " <td>medium_tilt</td>\n",
	+ " <td>N</td>\n",
	+ " <td>0.176322</td>\n",
	+ " <td>0.240439</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>12</th>\n",
	+ " <td>4817437.0</td>\n",
	+ " <td>13.503089</td>\n",
	+ " <td>32.0</td>\n",
	+ " <td>-57.0</td>\n",
	+ " <td>503514.586126</td>\n",
	+ " <td>134195.245953</td>\n",
	+ " <td>15.198331</td>\n",
	+ " <td>11.396747</td>\n",
	+ " <td>295084893.0</td>\n",
	+ " <td>8011.0</td>\n",
	+ " <td>...</td>\n",
	+ " <td>5</td>\n",
	+ " <td>32</td>\n",
	+ " <td>vertical</td>\n",
	+ " <td>0.236983</td>\n",
	+ " <td>0.000000</td>\n",
	+ " <td>0.000000</td>\n",
	+ " <td>medium_tilt</td>\n",
	+ " <td>SE</td>\n",
	+ " <td>0.236983</td>\n",
	+ " <td>0.236983</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>13</th>\n",
	+ " <td>4817438.0</td>\n",
	+ " <td>130.038144</td>\n",
	+ " <td>26.0</td>\n",
	+ " <td>-144.0</td>\n",
	+ " <td>503951.193324</td>\n",
	+ " <td>134195.306644</td>\n",
	+ " <td>64.584475</td>\n",
	+ " <td>117.365353</td>\n",
	+ " <td>295084994.0</td>\n",
	+ " <td>8014.0</td>\n",
	+ " <td>...</td>\n",
	+ " <td>4</td>\n",
	+ " <td>26</td>\n",
	+ " <td>vertical</td>\n",
	+ " <td>0.664420</td>\n",
	+ " <td>0.900000</td>\n",
	+ " <td>0.785106</td>\n",
	+ " <td>medium_tilt</td>\n",
	+ " <td>N</td>\n",
	+ " <td>0.142780</td>\n",
	+ " <td>0.664420</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>14</th>\n",
	+ " <td>4817439.0</td>\n",
	+ " <td>126.475108</td>\n",
	+ " <td>26.0</td>\n",
	+ " <td>36.0</td>\n",
	+ " <td>503948.788882</td>\n",
	+ " <td>134191.981218</td>\n",
	+ " <td>64.301850</td>\n",
	+ " <td>113.406403</td>\n",
	+ " <td>295084994.0</td>\n",
	+ " <td>8014.0</td>\n",
	+ " <td>...</td>\n",
	+ " <td>4</td>\n",
	+ " <td>26</td>\n",
	+ " <td>vertical</td>\n",
	+ " <td>0.683138</td>\n",
	+ " <td>0.214286</td>\n",
	+ " <td>0.556291</td>\n",
	+ " <td>medium_tilt</td>\n",
	+ " <td>SW</td>\n",
	+ " <td>0.303114</td>\n",
	+ " <td>0.683138</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>15</th>\n",
	+ " <td>4817440.0</td>\n",
	+ " <td>47.540096</td>\n",
	+ " <td>37.0</td>\n",
	+ " <td>-144.0</td>\n",
	+ " <td>503996.949571</td>\n",
	+ " <td>134161.244934</td>\n",
	+ " <td>27.081498</td>\n",
	+ " <td>37.981483</td>\n",
	+ " <td>1004076.0</td>\n",
	+ " <td>8012.0</td>\n",
	+ " <td>...</td>\n",
	+ " <td>5</td>\n",
	+ " <td>37</td>\n",
	+ " <td>horizontal</td>\n",
	+ " <td>0.673116</td>\n",
	+ " <td>0.800000</td>\n",
	+ " <td>0.973510</td>\n",
	+ " <td>medium_tilt</td>\n",
	+ " <td>N</td>\n",
	+ " <td>0.017831</td>\n",
	+ " <td>0.673116</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>16</th>\n",
	+ " <td>4817441.0</td>\n",
	+ " <td>35.497241</td>\n",
	+ " <td>32.0</td>\n",
	+ " <td>36.0</td>\n",
	+ " <td>503994.863047</td>\n",
	+ " <td>134158.375583</td>\n",
	+ " <td>25.402378</td>\n",
	+ " <td>29.945648</td>\n",
	+ " <td>1004076.0</td>\n",
	+ " <td>8012.0</td>\n",
	+ " <td>...</td>\n",
	+ " <td>4</td>\n",
	+ " <td>32</td>\n",
	+ " <td>horizontal</td>\n",
	+ " <td>0.450739</td>\n",
	+ " <td>0.142857</td>\n",
	+ " <td>0.725000</td>\n",
	+ " <td>medium_tilt</td>\n",
	+ " <td>SW</td>\n",
	+ " <td>0.123953</td>\n",
	+ " <td>0.450739</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>17</th>\n",
	+ " <td>4817442.0</td>\n",
	+ " <td>49.847956</td>\n",
	+ " <td>38.0</td>\n",
	+ " <td>36.0</td>\n",
	+ " <td>504003.468131</td>\n",
	+ " <td>134152.306087</td>\n",
	+ " <td>29.835723</td>\n",
	+ " <td>39.429900</td>\n",
	+ " <td>1004076.0</td>\n",
	+ " <td>8012.0</td>\n",
	+ " <td>...</td>\n",
	+ " <td>4</td>\n",
	+ " <td>38</td>\n",
	+ " <td>vertical</td>\n",
	+ " <td>0.641952</td>\n",
	+ " <td>0.900000</td>\n",
	+ " <td>0.961538</td>\n",
	+ " <td>medium_tilt</td>\n",
	+ " <td>SW</td>\n",
	+ " <td>0.024690</td>\n",
	+ " <td>0.641952</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>18</th>\n",
	+ " <td>4817448.0</td>\n",
	+ " <td>34.963254</td>\n",
	+ " <td>28.0</td>\n",
	+ " <td>-145.0</td>\n",
	+ " <td>503922.898105</td>\n",
	+ " <td>134216.939359</td>\n",
	+ " <td>29.062031</td>\n",
	+ " <td>30.741322</td>\n",
	+ " <td>1004089.0</td>\n",
	+ " <td>8012.0</td>\n",
	+ " <td>...</td>\n",
	+ " <td>4</td>\n",
	+ " <td>28</td>\n",
	+ " <td>horizontal</td>\n",
	+ " <td>0.457623</td>\n",
	+ " <td>0.125000</td>\n",
	+ " <td>0.975610</td>\n",
	+ " <td>medium_tilt</td>\n",
	+ " <td>N</td>\n",
	+ " <td>0.011162</td>\n",
	+ " <td>0.457623</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>19</th>\n",
	+ " <td>4817449.0</td>\n",
	+ " <td>19.979434</td>\n",
	+ " <td>7.0</td>\n",
	+ " <td>35.0</td>\n",
	+ " <td>503916.075512</td>\n",
	+ " <td>134213.701005</td>\n",
	+ " <td>17.895750</td>\n",
	+ " <td>19.831984</td>\n",
	+ " <td>1004089.0</td>\n",
	+ " <td>8012.0</td>\n",
	+ " <td>...</td>\n",
	+ " <td>4</td>\n",
	+ " <td>7</td>\n",
	+ " <td>vertical</td>\n",
	+ " <td>0.640659</td>\n",
	+ " <td>0.666667</td>\n",
	+ " <td>0.925000</td>\n",
	+ " <td>shallow_tilt</td>\n",
	+ " <td>SW</td>\n",
	+ " <td>0.048049</td>\n",
	+ " <td>0.640659</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>20</th>\n",
	+ " <td>4817450.0</td>\n",
	+ " <td>21.119847</td>\n",
	+ " <td>18.0</td>\n",
	+ " <td>-144.0</td>\n",
	+ " <td>503936.461763</td>\n",
	+ " <td>134203.761986</td>\n",
	+ " <td>18.414721</td>\n",
	+ " <td>20.066844</td>\n",
	+ " <td>295084994.0</td>\n",
	+ " <td>8014.0</td>\n",
	+ " <td>...</td>\n",
	+ " <td>5</td>\n",
	+ " <td>18</td>\n",
	+ " <td>horizontal</td>\n",
	+ " <td>0.454549</td>\n",
	+ " <td>0.000000</td>\n",
	+ " <td>0.506173</td>\n",
	+ " <td>shallow_tilt</td>\n",
	+ " <td>N</td>\n",
	+ " <td>0.224469</td>\n",
	+ " <td>0.454549</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>21</th>\n",
	+ " <td>4817451.0</td>\n",
	+ " <td>21.374411</td>\n",
	+ " <td>19.0</td>\n",
	+ " <td>36.0</td>\n",
	+ " <td>503934.470464</td>\n",
	+ " <td>134200.829905</td>\n",
	+ " <td>19.727025</td>\n",
	+ " <td>20.261942</td>\n",
	+ " <td>295084994.0</td>\n",
	+ " <td>8014.0</td>\n",
	+ " <td>...</td>\n",
	+ " <td>6</td>\n",
	+ " <td>19</td>\n",
	+ " <td>horizontal</td>\n",
	+ " <td>0.449135</td>\n",
	+ " <td>0.000000</td>\n",
	+ " <td>0.543210</td>\n",
	+ " <td>shallow_tilt</td>\n",
	+ " <td>SW</td>\n",
	+ " <td>0.205161</td>\n",
	+ " <td>0.449135</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>22</th>\n",
	+ " <td>4817452.0</td>\n",
	+ " <td>68.854261</td>\n",
	+ " <td>35.0</td>\n",
	+ " <td>-140.0</td>\n",
	+ " <td>504222.101990</td>\n",
	+ " <td>134017.187739</td>\n",
	+ " <td>31.767443</td>\n",
	+ " <td>56.268749</td>\n",
	+ " <td>1004049.0</td>\n",
	+ " <td>8011.0</td>\n",
	+ " <td>...</td>\n",
	+ " <td>5</td>\n",
	+ " <td>35</td>\n",
	+ " <td>horizontal</td>\n",
	+ " <td>0.697125</td>\n",
	+ " <td>0.142857</td>\n",
	+ " <td>0.053333</td>\n",
	+ " <td>medium_tilt</td>\n",
	+ " <td>N</td>\n",
	+ " <td>0.659945</td>\n",
	+ " <td>0.697125</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>23</th>\n",
	+ " <td>4817453.0</td>\n",
	+ " <td>52.296595</td>\n",
	+ " <td>34.0</td>\n",
	+ " <td>40.0</td>\n",
	+ " <td>504219.058562</td>\n",
	+ " <td>134013.574920</td>\n",
	+ " <td>29.327904</td>\n",
	+ " <td>43.406040</td>\n",
	+ " <td>1004049.0</td>\n",
	+ " <td>8011.0</td>\n",
	+ " <td>...</td>\n",
	+ " <td>5</td>\n",
	+ " <td>34</td>\n",
	+ " <td>horizontal</td>\n",
	+ " <td>0.734273</td>\n",
	+ " <td>0.100000</td>\n",
	+ " <td>0.034682</td>\n",
	+ " <td>medium_tilt</td>\n",
	+ " <td>SW</td>\n",
	+ " <td>0.649740</td>\n",
	+ " <td>0.673084</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>24</th>\n",
	+ " <td>4817458.0</td>\n",
	+ " <td>258.858167</td>\n",
	+ " <td>34.0</td>\n",
	+ " <td>127.0</td>\n",
	+ " <td>504246.524168</td>\n",
	+ " <td>134078.107216</td>\n",
	+ " <td>66.270016</td>\n",
	+ " <td>215.837030</td>\n",
	+ " <td>1004035.0</td>\n",
	+ " <td>8011.0</td>\n",
	+ " <td>...</td>\n",
	+ " <td>4</td>\n",
	+ " <td>34</td>\n",
	+ " <td>vertical</td>\n",
	+ " <td>0.834434</td>\n",
	+ " <td>0.109091</td>\n",
	+ " <td>0.030093</td>\n",
	+ " <td>medium_tilt</td>\n",
	+ " <td>N</td>\n",
	+ " <td>0.809324</td>\n",
	+ " <td>0.834434</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>25</th>\n",
	+ " <td>4817459.0</td>\n",
	+ " <td>260.507359</td>\n",
	+ " <td>30.0</td>\n",
	+ " <td>-49.0</td>\n",
	+ " <td>504253.910958</td>\n",
	+ " <td>134072.701545</td>\n",
	+ " <td>66.856008</td>\n",
	+ " <td>225.390527</td>\n",
	+ " <td>1004035.0</td>\n",
	+ " <td>8011.0</td>\n",
	+ " <td>...</td>\n",
	+ " <td>5</td>\n",
	+ " <td>30</td>\n",
	+ " <td>vertical</td>\n",
	+ " <td>0.767733</td>\n",
	+ " <td>0.035714</td>\n",
	+ " <td>0.008869</td>\n",
	+ " <td>medium_tilt</td>\n",
	+ " <td>SE</td>\n",
	+ " <td>0.760923</td>\n",
	+ " <td>0.767733</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>26</th>\n",
	+ " <td>4817460.0</td>\n",
	+ " <td>33.455253</td>\n",
	+ " <td>24.0</td>\n",
	+ " <td>-142.0</td>\n",
	+ " <td>504252.873380</td>\n",
	+ " <td>134059.252231</td>\n",
	+ " <td>24.705455</td>\n",
	+ " <td>30.633213</td>\n",
	+ " <td>1004035.0</td>\n",
	+ " <td>8011.0</td>\n",
	+ " <td>...</td>\n",
	+ " <td>6</td>\n",
	+ " <td>24</td>\n",
	+ " <td>vertical</td>\n",
	+ " <td>0.478251</td>\n",
	+ " <td>0.000000</td>\n",
	+ " <td>0.008130</td>\n",
	+ " <td>medium_tilt</td>\n",
	+ " <td>N</td>\n",
	+ " <td>0.474363</td>\n",
	+ " <td>0.478251</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>27</th>\n",
	+ " <td>4817461.0</td>\n",
	+ " <td>45.821417</td>\n",
	+ " <td>22.0</td>\n",
	+ " <td>32.0</td>\n",
	+ " <td>504249.859870</td>\n",
	+ " <td>134055.974734</td>\n",
	+ " <td>27.196876</td>\n",
	+ " <td>42.462233</td>\n",
	+ " <td>1004035.0</td>\n",
	+ " <td>8011.0</td>\n",
	+ " <td>...</td>\n",
	+ " <td>4</td>\n",
	+ " <td>22</td>\n",
	+ " <td>horizontal</td>\n",
	+ " <td>0.593609</td>\n",
	+ " <td>0.000000</td>\n",
	+ " <td>0.005952</td>\n",
	+ " <td>medium_tilt</td>\n",
	+ " <td>SW</td>\n",
	+ " <td>0.590075</td>\n",
	+ " <td>0.593609</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>28</th>\n",
	+ " <td>4817463.0</td>\n",
	+ " <td>82.400929</td>\n",
	+ " <td>33.0</td>\n",
	+ " <td>-50.0</td>\n",
	+ " <td>504157.851075</td>\n",
	+ " <td>134078.914455</td>\n",
	+ " <td>32.942705</td>\n",
	+ " <td>69.128758</td>\n",
	+ " <td>1004073.0</td>\n",
	+ " <td>8011.0</td>\n",
	+ " <td>...</td>\n",
	+ " <td>6</td>\n",
	+ " <td>33</td>\n",
	+ " <td>horizontal</td>\n",
	+ " <td>0.621352</td>\n",
	+ " <td>0.000000</td>\n",
	+ " <td>0.003610</td>\n",
	+ " <td>medium_tilt</td>\n",
	+ " <td>SE</td>\n",
	+ " <td>0.619109</td>\n",
	+ " <td>0.621352</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>29</th>\n",
	+ " <td>4817464.0</td>\n",
	+ " <td>78.771912</td>\n",
	+ " <td>31.0</td>\n",
	+ " <td>130.0</td>\n",
	+ " <td>504150.396646</td>\n",
	+ " <td>134085.492644</td>\n",
	+ " <td>32.609685</td>\n",
	+ " <td>67.373176</td>\n",
	+ " <td>1004073.0</td>\n",
	+ " <td>8011.0</td>\n",
	+ " <td>...</td>\n",
	+ " <td>5</td>\n",
	+ " <td>31</td>\n",
	+ " <td>vertical</td>\n",
	+ " <td>0.710913</td>\n",
	+ " <td>0.000000</td>\n",
	+ " <td>0.092937</td>\n",
	+ " <td>medium_tilt</td>\n",
	+ " <td>N</td>\n",
	+ " <td>0.368482</td>\n",
	+ " <td>0.406236</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>...</th>\n",
	+ " <td>...</td>\n",
	+ " <td>...</td>\n",
	+ " <td>...</td>\n",
	+ " <td>...</td>\n",
	+ " <td>...</td>\n",
	+ " <td>...</td>\n",
	+ " <td>...</td>\n",
	+ " <td>...</td>\n",
	+ " <td>...</td>\n",
	+ " <td>...</td>\n",
	+ " <td>...</td>\n",
	+ " <td>...</td>\n",
	+ " <td>...</td>\n",
	+ " <td>...</td>\n",
	+ " <td>...</td>\n",
	+ " <td>...</td>\n",
	+ " <td>...</td>\n",
	+ " <td>...</td>\n",
	+ " <td>...</td>\n",
	+ " <td>...</td>\n",
	+ " <td>...</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>154794</th>\n",
	+ " <td>5124495.0</td>\n",
	+ " <td>27.490066</td>\n",
	+ " <td>21.0</td>\n",
	+ " <td>116.0</td>\n",
	+ " <td>512507.153297</td>\n",
	+ " <td>121868.767886</td>\n",
	+ " <td>24.997104</td>\n",
	+ " <td>25.656416</td>\n",
	+ " <td>295081617.0</td>\n",
	+ " <td>8017.0</td>\n",
	+ " <td>...</td>\n",
	+ " <td>5</td>\n",
	+ " <td>21</td>\n",
	+ " <td>horizontal</td>\n",
	+ " <td>0.582028</td>\n",
	+ " <td>0.000000</td>\n",
	+ " <td>0.009434</td>\n",
	+ " <td>medium_tilt</td>\n",
	+ " <td>N</td>\n",
	+ " <td>0.576538</td>\n",
	+ " <td>0.582028</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>154795</th>\n",
	+ " <td>5124496.0</td>\n",
	+ " <td>33.733199</td>\n",
	+ " <td>11.0</td>\n",
	+ " <td>30.0</td>\n",
	+ " <td>512653.714458</td>\n",
	+ " <td>121846.443211</td>\n",
	+ " <td>27.509294</td>\n",
	+ " <td>33.153466</td>\n",
	+ " <td>1018650.0</td>\n",
	+ " <td>8015.0</td>\n",
	+ " <td>...</td>\n",
	+ " <td>4</td>\n",
	+ " <td>11</td>\n",
	+ " <td>horizontal</td>\n",
	+ " <td>0.569172</td>\n",
	+ " <td>0.000000</td>\n",
	+ " <td>0.015152</td>\n",
	+ " <td>shallow_tilt</td>\n",
	+ " <td>SW</td>\n",
	+ " <td>0.560548</td>\n",
	+ " <td>0.569172</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>154796</th>\n",
	+ " <td>5124497.0</td>\n",
	+ " <td>139.413591</td>\n",
	+ " <td>30.0</td>\n",
	+ " <td>-60.0</td>\n",
	+ " <td>512727.853591</td>\n",
	+ " <td>121799.313992</td>\n",
	+ " <td>54.005430</td>\n",
	+ " <td>120.493402</td>\n",
	+ " <td>1018653.0</td>\n",
	+ " <td>8012.0</td>\n",
	+ " <td>...</td>\n",
	+ " <td>9</td>\n",
	+ " <td>30</td>\n",
	+ " <td>horizontal</td>\n",
	+ " <td>0.677122</td>\n",
	+ " <td>0.000000</td>\n",
	+ " <td>0.004149</td>\n",
	+ " <td>medium_tilt</td>\n",
	+ " <td>SE</td>\n",
	+ " <td>0.674312</td>\n",
	+ " <td>0.677122</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>154797</th>\n",
	+ " <td>5124498.0</td>\n",
	+ " <td>137.530298</td>\n",
	+ " <td>30.0</td>\n",
	+ " <td>120.0</td>\n",
	+ " <td>512722.012941</td>\n",
	+ " <td>121802.781737</td>\n",
	+ " <td>53.905711</td>\n",
	+ " <td>119.641777</td>\n",
	+ " <td>1018653.0</td>\n",
	+ " <td>8012.0</td>\n",
	+ " <td>...</td>\n",
	+ " <td>9</td>\n",
	+ " <td>30</td>\n",
	+ " <td>horizontal</td>\n",
	+ " <td>0.639859</td>\n",
	+ " <td>0.064516</td>\n",
	+ " <td>0.041841</td>\n",
	+ " <td>medium_tilt</td>\n",
	+ " <td>N</td>\n",
	+ " <td>0.613087</td>\n",
	+ " <td>0.639859</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>154798</th>\n",
	+ " <td>5124499.0</td>\n",
	+ " <td>92.630815</td>\n",
	+ " <td>7.0</td>\n",
	+ " <td>-150.0</td>\n",
	+ " <td>512731.300787</td>\n",
	+ " <td>121811.881398</td>\n",
	+ " <td>47.143675</td>\n",
	+ " <td>91.927158</td>\n",
	+ " <td>1018653.0</td>\n",
	+ " <td>8012.0</td>\n",
	+ " <td>...</td>\n",
	+ " <td>8</td>\n",
	+ " <td>7</td>\n",
	+ " <td>equal</td>\n",
	+ " <td>0.656369</td>\n",
	+ " <td>0.045455</td>\n",
	+ " <td>0.147541</td>\n",
	+ " <td>shallow_tilt</td>\n",
	+ " <td>N</td>\n",
	+ " <td>0.559528</td>\n",
	+ " <td>0.656369</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>154799</th>\n",
	+ " <td>5124500.0</td>\n",
	+ " <td>44.081253</td>\n",
	+ " <td>7.0</td>\n",
	+ " <td>-148.0</td>\n",
	+ " <td>512734.614676</td>\n",
	+ " <td>121817.612632</td>\n",
	+ " <td>28.618486</td>\n",
	+ " <td>43.718502</td>\n",
	+ " <td>1018653.0</td>\n",
	+ " <td>8012.0</td>\n",
	+ " <td>...</td>\n",
	+ " <td>4</td>\n",
	+ " <td>7</td>\n",
	+ " <td>vertical</td>\n",
	+ " <td>0.653339</td>\n",
	+ " <td>0.000000</td>\n",
	+ " <td>0.022857</td>\n",
	+ " <td>shallow_tilt</td>\n",
	+ " <td>N</td>\n",
	+ " <td>0.638405</td>\n",
	+ " <td>0.653339</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>154800</th>\n",
	+ " <td>5124502.0</td>\n",
	+ " <td>14.119724</td>\n",
	+ " <td>11.0</td>\n",
	+ " <td>-147.0</td>\n",
	+ " <td>512729.165421</td>\n",
	+ " <td>121822.382400</td>\n",
	+ " <td>16.789635</td>\n",
	+ " <td>13.863595</td>\n",
	+ " <td>1018653.0</td>\n",
	+ " <td>8012.0</td>\n",
	+ " <td>...</td>\n",
	+ " <td>6</td>\n",
	+ " <td>11</td>\n",
	+ " <td>horizontal</td>\n",
	+ " <td>0.453267</td>\n",
	+ " <td>0.000000</td>\n",
	+ " <td>0.071429</td>\n",
	+ " <td>shallow_tilt</td>\n",
	+ " <td>N</td>\n",
	+ " <td>0.420890</td>\n",
	+ " <td>0.453267</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>154801</th>\n",
	+ " <td>5124503.0</td>\n",
	+ " <td>36.753693</td>\n",
	+ " <td>21.0</td>\n",
	+ " <td>122.0</td>\n",
	+ " <td>512683.971180</td>\n",
	+ " <td>121769.079140</td>\n",
	+ " <td>23.556753</td>\n",
	+ " <td>34.231614</td>\n",
	+ " <td>2040405.0</td>\n",
	+ " <td>8012.0</td>\n",
	+ " <td>...</td>\n",
	+ " <td>5</td>\n",
	+ " <td>21</td>\n",
	+ " <td>equal</td>\n",
	+ " <td>0.522396</td>\n",
	+ " <td>0.000000</td>\n",
	+ " <td>0.000000</td>\n",
	+ " <td>medium_tilt</td>\n",
	+ " <td>N</td>\n",
	+ " <td>0.522396</td>\n",
	+ " <td>0.522396</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>154802</th>\n",
	+ " <td>5124505.0</td>\n",
	+ " <td>36.179539</td>\n",
	+ " <td>19.0</td>\n",
	+ " <td>-58.0</td>\n",
	+ " <td>512689.565868</td>\n",
	+ " <td>121765.612262</td>\n",
	+ " <td>23.566963</td>\n",
	+ " <td>34.201265</td>\n",
	+ " <td>2040405.0</td>\n",
	+ " <td>8012.0</td>\n",
	+ " <td>...</td>\n",
	+ " <td>4</td>\n",
	+ " <td>19</td>\n",
	+ " <td>equal</td>\n",
	+ " <td>0.530687</td>\n",
	+ " <td>0.000000</td>\n",
	+ " <td>0.000000</td>\n",
	+ " <td>shallow_tilt</td>\n",
	+ " <td>SE</td>\n",
	+ " <td>0.530687</td>\n",
	+ " <td>0.530687</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>154803</th>\n",
	+ " <td>5124506.0</td>\n",
	+ " <td>57.609988</td>\n",
	+ " <td>17.0</td>\n",
	+ " <td>-57.0</td>\n",
	+ " <td>512685.874412</td>\n",
	+ " <td>121760.247993</td>\n",
	+ " <td>37.797327</td>\n",
	+ " <td>55.148314</td>\n",
	+ " <td>2040405.0</td>\n",
	+ " <td>8012.0</td>\n",
	+ " <td>...</td>\n",
	+ " <td>8</td>\n",
	+ " <td>17</td>\n",
	+ " <td>vertical</td>\n",
	+ " <td>0.694324</td>\n",
	+ " <td>0.000000</td>\n",
	+ " <td>0.105023</td>\n",
	+ " <td>shallow_tilt</td>\n",
	+ " <td>SE</td>\n",
	+ " <td>0.621404</td>\n",
	+ " <td>0.694324</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>154804</th>\n",
	+ " <td>5124507.0</td>\n",
	+ " <td>57.882063</td>\n",
	+ " <td>22.0</td>\n",
	+ " <td>122.0</td>\n",
	+ " <td>512679.975021</td>\n",
	+ " <td>121763.783138</td>\n",
	+ " <td>29.386703</td>\n",
	+ " <td>53.499302</td>\n",
	+ " <td>2040405.0</td>\n",
	+ " <td>8012.0</td>\n",
	+ " <td>...</td>\n",
	+ " <td>5</td>\n",
	+ " <td>22</td>\n",
	+ " <td>vertical</td>\n",
	+ " <td>0.773988</td>\n",
	+ " <td>0.076923</td>\n",
	+ " <td>0.186916</td>\n",
	+ " <td>medium_tilt</td>\n",
	+ " <td>N</td>\n",
	+ " <td>0.629317</td>\n",
	+ " <td>0.773988</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>154805</th>\n",
	+ " <td>5124508.0</td>\n",
	+ " <td>35.898733</td>\n",
	+ " <td>22.0</td>\n",
	+ " <td>-153.0</td>\n",
	+ " <td>512676.571716</td>\n",
	+ " <td>121745.126015</td>\n",
	+ " <td>30.833490</td>\n",
	+ " <td>33.393443</td>\n",
	+ " <td>2040405.0</td>\n",
	+ " <td>8012.0</td>\n",
	+ " <td>...</td>\n",
	+ " <td>7</td>\n",
	+ " <td>22</td>\n",
	+ " <td>horizontal</td>\n",
	+ " <td>0.356559</td>\n",
	+ " <td>0.000000</td>\n",
	+ " <td>0.014493</td>\n",
	+ " <td>medium_tilt</td>\n",
	+ " <td>N</td>\n",
	+ " <td>0.351391</td>\n",
	+ " <td>0.356559</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>154806</th>\n",
	+ " <td>5124509.0</td>\n",
	+ " <td>88.059840</td>\n",
	+ " <td>20.0</td>\n",
	+ " <td>27.0</td>\n",
	+ " <td>512674.020870</td>\n",
	+ " <td>121740.921893</td>\n",
	+ " <td>39.260540</td>\n",
	+ " <td>82.722458</td>\n",
	+ " <td>2040405.0</td>\n",
	+ " <td>8012.0</td>\n",
	+ " <td>...</td>\n",
	+ " <td>8</td>\n",
	+ " <td>20</td>\n",
	+ " <td>horizontal</td>\n",
	+ " <td>0.744948</td>\n",
	+ " <td>0.052632</td>\n",
	+ " <td>0.015291</td>\n",
	+ " <td>medium_tilt</td>\n",
	+ " <td>SW</td>\n",
	+ " <td>0.733557</td>\n",
	+ " <td>0.744948</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>154807</th>\n",
	+ " <td>5124510.0</td>\n",
	+ " <td>234.137426</td>\n",
	+ " <td>15.0</td>\n",
	+ " <td>-139.0</td>\n",
	+ " <td>512576.260995</td>\n",
	+ " <td>121776.663075</td>\n",
	+ " <td>66.560300</td>\n",
	+ " <td>226.093454</td>\n",
	+ " <td>1018659.0</td>\n",
	+ " <td>8011.0</td>\n",
	+ " <td>...</td>\n",
	+ " <td>4</td>\n",
	+ " <td>15</td>\n",
	+ " <td>horizontal</td>\n",
	+ " <td>0.861033</td>\n",
	+ " <td>0.000000</td>\n",
	+ " <td>0.002212</td>\n",
	+ " <td>shallow_tilt</td>\n",
	+ " <td>N</td>\n",
	+ " <td>0.859128</td>\n",
	+ " <td>0.861033</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>154808</th>\n",
	+ " <td>5124511.0</td>\n",
	+ " <td>232.447102</td>\n",
	+ " <td>16.0</td>\n",
	+ " <td>41.0</td>\n",
	+ " <td>512570.079754</td>\n",
	+ " <td>121769.520367</td>\n",
	+ " <td>66.292584</td>\n",
	+ " <td>222.913017</td>\n",
	+ " <td>1018659.0</td>\n",
	+ " <td>8011.0</td>\n",
	+ " <td>...</td>\n",
	+ " <td>4</td>\n",
	+ " <td>16</td>\n",
	+ " <td>horizontal</td>\n",
	+ " <td>0.867294</td>\n",
	+ " <td>0.000000</td>\n",
	+ " <td>0.000000</td>\n",
	+ " <td>shallow_tilt</td>\n",
	+ " <td>SW</td>\n",
	+ " <td>0.867294</td>\n",
	+ " <td>0.867294</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>154809</th>\n",
	+ " <td>5124512.0</td>\n",
	+ " <td>131.925651</td>\n",
	+ " <td>29.0</td>\n",
	+ " <td>121.0</td>\n",
	+ " <td>512861.419320</td>\n",
	+ " <td>121844.774678</td>\n",
	+ " <td>55.702429</td>\n",
	+ " <td>114.847781</td>\n",
	+ " <td>1018654.0</td>\n",
	+ " <td>8011.0</td>\n",
	+ " <td>...</td>\n",
	+ " <td>5</td>\n",
	+ " <td>29</td>\n",
	+ " <td>vertical</td>\n",
	+ " <td>0.800451</td>\n",
	+ " <td>0.033333</td>\n",
	+ " <td>0.087146</td>\n",
	+ " <td>medium_tilt</td>\n",
	+ " <td>N</td>\n",
	+ " <td>0.675339</td>\n",
	+ " <td>0.739811</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>154810</th>\n",
	+ " <td>5124513.0</td>\n",
	+ " <td>137.339196</td>\n",
	+ " <td>28.0</td>\n",
	+ " <td>-59.0</td>\n",
	+ " <td>512865.854189</td>\n",
	+ " <td>121842.120366</td>\n",
	+ " <td>56.243851</td>\n",
	+ " <td>121.027343</td>\n",
	+ " <td>1018654.0</td>\n",
	+ " <td>8011.0</td>\n",
	+ " <td>...</td>\n",
	+ " <td>4</td>\n",
	+ " <td>28</td>\n",
	+ " <td>vertical</td>\n",
	+ " <td>0.768899</td>\n",
	+ " <td>0.000000</td>\n",
	+ " <td>0.004124</td>\n",
	+ " <td>medium_tilt</td>\n",
	+ " <td>SE</td>\n",
	+ " <td>0.765728</td>\n",
	+ " <td>0.768899</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>154811</th>\n",
	+ " <td>5124514.0</td>\n",
	+ " <td>21.008432</td>\n",
	+ " <td>23.0</td>\n",
	+ " <td>-150.0</td>\n",
	+ " <td>512862.686744</td>\n",
	+ " <td>121857.263294</td>\n",
	+ " <td>23.119281</td>\n",
	+ " <td>19.328343</td>\n",
	+ " <td>1018654.0</td>\n",
	+ " <td>8011.0</td>\n",
	+ " <td>...</td>\n",
	+ " <td>6</td>\n",
	+ " <td>23</td>\n",
	+ " <td>vertical</td>\n",
	+ " <td>0.380799</td>\n",
	+ " <td>0.000000</td>\n",
	+ " <td>0.129870</td>\n",
	+ " <td>medium_tilt</td>\n",
	+ " <td>N</td>\n",
	+ " <td>0.331345</td>\n",
	+ " <td>0.380799</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>154812</th>\n",
	+ " <td>5124515.0</td>\n",
	+ " <td>21.541363</td>\n",
	+ " <td>19.0</td>\n",
	+ " <td>30.0</td>\n",
	+ " <td>512860.734800</td>\n",
	+ " <td>121855.152708</td>\n",
	+ " <td>19.585625</td>\n",
	+ " <td>20.336518</td>\n",
	+ " <td>1018654.0</td>\n",
	+ " <td>8011.0</td>\n",
	+ " <td>...</td>\n",
	+ " <td>4</td>\n",
	+ " <td>19</td>\n",
	+ " <td>equal</td>\n",
	+ " <td>0.445654</td>\n",
	+ " <td>0.000000</td>\n",
	+ " <td>0.123457</td>\n",
	+ " <td>shallow_tilt</td>\n",
	+ " <td>SW</td>\n",
	+ " <td>0.390635</td>\n",
	+ " <td>0.445654</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>154813</th>\n",
	+ " <td>5124516.0</td>\n",
	+ " <td>33.342276</td>\n",
	+ " <td>17.0</td>\n",
	+ " <td>-58.0</td>\n",
	+ " <td>512857.342542</td>\n",
	+ " <td>121829.041410</td>\n",
	+ " <td>24.377198</td>\n",
	+ " <td>31.954253</td>\n",
	+ " <td>1018654.0</td>\n",
	+ " <td>8011.0</td>\n",
	+ " <td>...</td>\n",
	+ " <td>4</td>\n",
	+ " <td>17</td>\n",
	+ " <td>vertical</td>\n",
	+ " <td>0.671820</td>\n",
	+ " <td>0.125000</td>\n",
	+ " <td>0.570312</td>\n",
	+ " <td>shallow_tilt</td>\n",
	+ " <td>SE</td>\n",
	+ " <td>0.288673</td>\n",
	+ " <td>0.671820</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>154814</th>\n",
	+ " <td>5124517.0</td>\n",
	+ " <td>43.358052</td>\n",
	+ " <td>13.0</td>\n",
	+ " <td>122.0</td>\n",
	+ " <td>512853.537208</td>\n",
	+ " <td>121831.368979</td>\n",
	+ " <td>26.787103</td>\n",
	+ " <td>42.321731</td>\n",
	+ " <td>1018654.0</td>\n",
	+ " <td>8011.0</td>\n",
	+ " <td>...</td>\n",
	+ " <td>4</td>\n",
	+ " <td>13</td>\n",
	+ " <td>horizontal</td>\n",
	+ " <td>0.590432</td>\n",
	+ " <td>0.000000</td>\n",
	+ " <td>0.470588</td>\n",
	+ " <td>shallow_tilt</td>\n",
	+ " <td>N</td>\n",
	+ " <td>0.312582</td>\n",
	+ " <td>0.590432</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>154815</th>\n",
	+ " <td>5124518.0</td>\n",
	+ " <td>34.768271</td>\n",
	+ " <td>0.0</td>\n",
	+ " <td>0.0</td>\n",
	+ " <td>512851.492252</td>\n",
	+ " <td>121838.457750</td>\n",
	+ " <td>29.085365</td>\n",
	+ " <td>34.768271</td>\n",
	+ " <td>1018654.0</td>\n",
	+ " <td>8011.0</td>\n",
	+ " <td>...</td>\n",
	+ " <td>6</td>\n",
	+ " <td>30</td>\n",
	+ " <td>vertical</td>\n",
	+ " <td>0.119561</td>\n",
	+ " <td>0.111111</td>\n",
	+ " <td>0.231884</td>\n",
	+ " <td>flat</td>\n",
	+ " <td>S</td>\n",
	+ " <td>0.091837</td>\n",
	+ " <td>0.119561</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>154816</th>\n",
	+ " <td>5124519.0</td>\n",
	+ " <td>32.262272</td>\n",
	+ " <td>7.0</td>\n",
	+ " <td>-62.0</td>\n",
	+ " <td>512889.292856</td>\n",
	+ " <td>121962.982921</td>\n",
	+ " <td>22.665441</td>\n",
	+ " <td>32.006156</td>\n",
	+ " <td>1018655.0</td>\n",
	+ " <td>8014.0</td>\n",
	+ " <td>...</td>\n",
	+ " <td>5</td>\n",
	+ " <td>7</td>\n",
	+ " <td>vertical</td>\n",
	+ " <td>0.595122</td>\n",
	+ " <td>0.000000</td>\n",
	+ " <td>0.375000</td>\n",
	+ " <td>shallow_tilt</td>\n",
	+ " <td>SE</td>\n",
	+ " <td>0.371951</td>\n",
	+ " <td>0.595122</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>154817</th>\n",
	+ " <td>5124520.0</td>\n",
	+ " <td>14.249623</td>\n",
	+ " <td>25.0</td>\n",
	+ " <td>118.0</td>\n",
	+ " <td>512885.599017</td>\n",
	+ " <td>121964.977036</td>\n",
	+ " <td>15.514710</td>\n",
	+ " <td>12.886922</td>\n",
	+ " <td>1018655.0</td>\n",
	+ " <td>8014.0</td>\n",
	+ " <td>...</td>\n",
	+ " <td>5</td>\n",
	+ " <td>25</td>\n",
	+ " <td>vertical</td>\n",
	+ " <td>0.449135</td>\n",
	+ " <td>0.500000</td>\n",
	+ " <td>0.250000</td>\n",
	+ " <td>medium_tilt</td>\n",
	+ " <td>N</td>\n",
	+ " <td>0.336851</td>\n",
	+ " <td>0.449135</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>154818</th>\n",
	+ " <td>5124523.0</td>\n",
	+ " <td>202.860586</td>\n",
	+ " <td>26.0</td>\n",
	+ " <td>-65.0</td>\n",
	+ " <td>512907.355343</td>\n",
	+ " <td>121907.640275</td>\n",
	+ " <td>69.264065</td>\n",
	+ " <td>181.708205</td>\n",
	+ " <td>1018655.0</td>\n",
	+ " <td>8014.0</td>\n",
	+ " <td>...</td>\n",
	+ " <td>4</td>\n",
	+ " <td>26</td>\n",
	+ " <td>vertical</td>\n",
	+ " <td>0.836042</td>\n",
	+ " <td>0.022222</td>\n",
	+ " <td>0.042582</td>\n",
	+ " <td>medium_tilt</td>\n",
	+ " <td>SE</td>\n",
	+ " <td>0.800441</td>\n",
	+ " <td>0.836042</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>154819</th>\n",
	+ " <td>5124524.0</td>\n",
	+ " <td>221.668609</td>\n",
	+ " <td>25.0</td>\n",
	+ " <td>115.0</td>\n",
	+ " <td>512901.324171</td>\n",
	+ " <td>121910.827716</td>\n",
	+ " <td>72.136766</td>\n",
	+ " <td>201.586966</td>\n",
	+ " <td>1018655.0</td>\n",
	+ " <td>8014.0</td>\n",
	+ " <td>...</td>\n",
	+ " <td>6</td>\n",
	+ " <td>25</td>\n",
	+ " <td>horizontal</td>\n",
	+ " <td>0.692926</td>\n",
	+ " <td>0.102041</td>\n",
	+ " <td>0.042131</td>\n",
	+ " <td>medium_tilt</td>\n",
	+ " <td>N</td>\n",
	+ " <td>0.663732</td>\n",
	+ " <td>0.692926</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>154820</th>\n",
	+ " <td>5124525.0</td>\n",
	+ " <td>126.405824</td>\n",
	+ " <td>22.0</td>\n",
	+ " <td>118.0</td>\n",
	+ " <td>512801.107921</td>\n",
	+ " <td>121763.322478</td>\n",
	+ " <td>43.276794</td>\n",
	+ " <td>116.796274</td>\n",
	+ " <td>1018651.0</td>\n",
	+ " <td>8013.0</td>\n",
	+ " <td>...</td>\n",
	+ " <td>4</td>\n",
	+ " <td>22</td>\n",
	+ " <td>equal</td>\n",
	+ " <td>0.759459</td>\n",
	+ " <td>0.035714</td>\n",
	+ " <td>0.012876</td>\n",
	+ " <td>medium_tilt</td>\n",
	+ " <td>N</td>\n",
	+ " <td>0.749680</td>\n",
	+ " <td>0.759459</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>154821</th>\n",
	+ " <td>5124526.0</td>\n",
	+ " <td>126.408740</td>\n",
	+ " <td>22.0</td>\n",
	+ " <td>-62.0</td>\n",
	+ " <td>512810.176759</td>\n",
	+ " <td>121758.418405</td>\n",
	+ " <td>43.277184</td>\n",
	+ " <td>116.797944</td>\n",
	+ " <td>1018651.0</td>\n",
	+ " <td>8013.0</td>\n",
	+ " <td>...</td>\n",
	+ " <td>4</td>\n",
	+ " <td>22</td>\n",
	+ " <td>equal</td>\n",
	+ " <td>0.759441</td>\n",
	+ " <td>0.000000</td>\n",
	+ " <td>0.040598</td>\n",
	+ " <td>medium_tilt</td>\n",
	+ " <td>SE</td>\n",
	+ " <td>0.728609</td>\n",
	+ " <td>0.759441</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>154822</th>\n",
	+ " <td>5124527.0</td>\n",
	+ " <td>17.738624</td>\n",
	+ " <td>32.0</td>\n",
	+ " <td>-67.0</td>\n",
	+ " <td>512895.656423</td>\n",
	+ " <td>121945.700714</td>\n",
	+ " <td>16.399780</td>\n",
	+ " <td>14.964642</td>\n",
	+ " <td>1018655.0</td>\n",
	+ " <td>8014.0</td>\n",
	+ " <td>...</td>\n",
	+ " <td>4</td>\n",
	+ " <td>32</td>\n",
	+ " <td>equal</td>\n",
	+ " <td>0.360795</td>\n",
	+ " <td>0.000000</td>\n",
	+ " <td>0.000000</td>\n",
	+ " <td>medium_tilt</td>\n",
	+ " <td>SE</td>\n",
	+ " <td>0.360795</td>\n",
	+ " <td>0.360795</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>154823</th>\n",
	+ " <td>5124528.0</td>\n",
	+ " <td>17.671450</td>\n",
	+ " <td>33.0</td>\n",
	+ " <td>113.0</td>\n",
	+ " <td>512893.143353</td>\n",
	+ " <td>121946.778198</td>\n",
	+ " <td>16.370630</td>\n",
	+ " <td>14.885036</td>\n",
	+ " <td>1018655.0</td>\n",
	+ " <td>8014.0</td>\n",
	+ " <td>...</td>\n",
	+ " <td>4</td>\n",
	+ " <td>33</td>\n",
	+ " <td>equal</td>\n",
	+ " <td>0.362166</td>\n",
	+ " <td>0.000000</td>\n",
	+ " <td>0.016393</td>\n",
	+ " <td>medium_tilt</td>\n",
	+ " <td>N</td>\n",
	+ " <td>0.356229</td>\n",
	+ " <td>0.362166</td>\n",
	+ " </tr>\n",
	+ " </tbody>\n",
	+ "</table>\n",
	+ "<p>154824 rows × 28 columns</p>\n",
	+ "</div>"
	+ ],
	+ "text/plain": [
	+ " DF_UID FLAECHE NEIGUNG AUSRICHTUNG XCOORD \\\n",
	+ "0 4817410.0 71.487047 10.0 127.0 503491.325015 \n",
	+ "1 4817425.0 36.859836 37.0 33.0 503503.812619 \n",
	+ "2 4817426.0 51.333864 31.0 -57.0 503509.783165 \n",
	+ "3 4817427.0 36.861447 37.0 -147.0 503510.594159 \n",
	+ "4 4817428.0 81.256555 28.0 123.0 503504.226918 \n",
	+ "5 4817429.0 11.397236 27.0 -144.0 503512.070989 \n",
	+ "6 4817431.0 174.501987 31.0 -147.0 503503.978942 \n",
	+ "7 4817432.0 174.108293 31.0 33.0 503500.517066 \n",
	+ "8 4817433.0 69.216255 26.0 33.0 503510.917446 \n",
	+ "9 4817434.0 26.716480 31.0 -147.0 503517.020358 \n",
	+ "10 4817435.0 26.018729 31.0 -147.0 503507.806109 \n",
	+ "11 4817436.0 13.309012 33.0 123.0 503512.471353 \n",
	+ "12 4817437.0 13.503089 32.0 -57.0 503514.586126 \n",
	+ "13 4817438.0 130.038144 26.0 -144.0 503951.193324 \n",
	+ "14 4817439.0 126.475108 26.0 36.0 503948.788882 \n",
	+ "15 4817440.0 47.540096 37.0 -144.0 503996.949571 \n",
	+ "16 4817441.0 35.497241 32.0 36.0 503994.863047 \n",
	+ "17 4817442.0 49.847956 38.0 36.0 504003.468131 \n",
	+ "18 4817448.0 34.963254 28.0 -145.0 503922.898105 \n",
	+ "19 4817449.0 19.979434 7.0 35.0 503916.075512 \n",
	+ "20 4817450.0 21.119847 18.0 -144.0 503936.461763 \n",
	+ "21 4817451.0 21.374411 19.0 36.0 503934.470464 \n",
	+ "22 4817452.0 68.854261 35.0 -140.0 504222.101990 \n",
	+ "23 4817453.0 52.296595 34.0 40.0 504219.058562 \n",
	+ "24 4817458.0 258.858167 34.0 127.0 504246.524168 \n",
	+ "25 4817459.0 260.507359 30.0 -49.0 504253.910958 \n",
	+ "26 4817460.0 33.455253 24.0 -142.0 504252.873380 \n",
	+ "27 4817461.0 45.821417 22.0 32.0 504249.859870 \n",
	+ "28 4817463.0 82.400929 33.0 -50.0 504157.851075 \n",
	+ "29 4817464.0 78.771912 31.0 130.0 504150.396646 \n",
	+ "... ... ... ... ... ... \n",
	+ "154794 5124495.0 27.490066 21.0 116.0 512507.153297 \n",
	+ "154795 5124496.0 33.733199 11.0 30.0 512653.714458 \n",
	+ "154796 5124497.0 139.413591 30.0 -60.0 512727.853591 \n",
	+ "154797 5124498.0 137.530298 30.0 120.0 512722.012941 \n",
	+ "154798 5124499.0 92.630815 7.0 -150.0 512731.300787 \n",
	+ "154799 5124500.0 44.081253 7.0 -148.0 512734.614676 \n",
	+ "154800 5124502.0 14.119724 11.0 -147.0 512729.165421 \n",
	+ "154801 5124503.0 36.753693 21.0 122.0 512683.971180 \n",
	+ "154802 5124505.0 36.179539 19.0 -58.0 512689.565868 \n",
	+ "154803 5124506.0 57.609988 17.0 -57.0 512685.874412 \n",
	+ "154804 5124507.0 57.882063 22.0 122.0 512679.975021 \n",
	+ "154805 5124508.0 35.898733 22.0 -153.0 512676.571716 \n",
	+ "154806 5124509.0 88.059840 20.0 27.0 512674.020870 \n",
	+ "154807 5124510.0 234.137426 15.0 -139.0 512576.260995 \n",
	+ "154808 5124511.0 232.447102 16.0 41.0 512570.079754 \n",
	+ "154809 5124512.0 131.925651 29.0 121.0 512861.419320 \n",
	+ "154810 5124513.0 137.339196 28.0 -59.0 512865.854189 \n",
	+ "154811 5124514.0 21.008432 23.0 -150.0 512862.686744 \n",
	+ "154812 5124515.0 21.541363 19.0 30.0 512860.734800 \n",
	+ "154813 5124516.0 33.342276 17.0 -58.0 512857.342542 \n",
	+ "154814 5124517.0 43.358052 13.0 122.0 512853.537208 \n",
	+ "154815 5124518.0 34.768271 0.0 0.0 512851.492252 \n",
	+ "154816 5124519.0 32.262272 7.0 -62.0 512889.292856 \n",
	+ "154817 5124520.0 14.249623 25.0 118.0 512885.599017 \n",
	+ "154818 5124523.0 202.860586 26.0 -65.0 512907.355343 \n",
	+ "154819 5124524.0 221.668609 25.0 115.0 512901.324171 \n",
	+ "154820 5124525.0 126.405824 22.0 118.0 512801.107921 \n",
	+ "154821 5124526.0 126.408740 22.0 -62.0 512810.176759 \n",
	+ "154822 5124527.0 17.738624 32.0 -67.0 512895.656423 \n",
	+ "154823 5124528.0 17.671450 33.0 113.0 512893.143353 \n",
	+ "\n",
	+ " YCOORD Shape_Length Shape_Area GWR_EGID GBAUP \\\n",
	+ "0 134197.490397 33.936595 70.390620 295070969.0 8011.0 \n",
	+ "1 134131.833522 28.208608 29.339500 1004090.0 8012.0 \n",
	+ "2 134135.282805 40.053428 44.043504 1004090.0 8012.0 \n",
	+ "3 134142.188986 28.210273 29.341346 1004090.0 8012.0 \n",
	+ "4 134138.960671 37.840077 71.574129 1004090.0 8012.0 \n",
	+ "5 134135.795686 15.417311 10.154872 1004090.0 8012.0 \n",
	+ "6 134181.171146 59.815925 149.165008 1004088.0 8011.0 \n",
	+ "7 134175.889168 59.775896 148.702405 1004088.0 8011.0 \n",
	+ "8 134191.713704 45.633223 61.997846 295084893.0 8011.0 \n",
	+ "9 134191.118711 23.687927 22.959133 295084893.0 8011.0 \n",
	+ "10 134197.114437 23.199036 22.360589 295084893.0 8011.0 \n",
	+ "11 134196.622116 15.096068 11.164928 295084893.0 8011.0 \n",
	+ "12 134195.245953 15.198331 11.396747 295084893.0 8011.0 \n",
	+ "13 134195.306644 64.584475 117.365353 295084994.0 8014.0 \n",
	+ "14 134191.981218 64.301850 113.406403 295084994.0 8014.0 \n",
	+ "15 134161.244934 27.081498 37.981483 1004076.0 8012.0 \n",
	+ "16 134158.375583 25.402378 29.945648 1004076.0 8012.0 \n",
	+ "17 134152.306087 29.835723 39.429900 1004076.0 8012.0 \n",
	+ "18 134216.939359 29.062031 30.741322 1004089.0 8012.0 \n",
	+ "19 134213.701005 17.895750 19.831984 1004089.0 8012.0 \n",
	+ "20 134203.761986 18.414721 20.066844 295084994.0 8014.0 \n",
	+ "21 134200.829905 19.727025 20.261942 295084994.0 8014.0 \n",
	+ "22 134017.187739 31.767443 56.268749 1004049.0 8011.0 \n",
	+ "23 134013.574920 29.327904 43.406040 1004049.0 8011.0 \n",
	+ "24 134078.107216 66.270016 215.837030 1004035.0 8011.0 \n",
	+ "25 134072.701545 66.856008 225.390527 1004035.0 8011.0 \n",
	+ "26 134059.252231 24.705455 30.633213 1004035.0 8011.0 \n",
	+ "27 134055.974734 27.196876 42.462233 1004035.0 8011.0 \n",
	+ "28 134078.914455 32.942705 69.128758 1004073.0 8011.0 \n",
	+ "29 134085.492644 32.609685 67.373176 1004073.0 8011.0 \n",
	+ "... ... ... ... ... ... \n",
	+ "154794 121868.767886 24.997104 25.656416 295081617.0 8017.0 \n",
	+ "154795 121846.443211 27.509294 33.153466 1018650.0 8015.0 \n",
	+ "154796 121799.313992 54.005430 120.493402 1018653.0 8012.0 \n",
	+ "154797 121802.781737 53.905711 119.641777 1018653.0 8012.0 \n",
	+ "154798 121811.881398 47.143675 91.927158 1018653.0 8012.0 \n",
	+ "154799 121817.612632 28.618486 43.718502 1018653.0 8012.0 \n",
	+ "154800 121822.382400 16.789635 13.863595 1018653.0 8012.0 \n",
	+ "154801 121769.079140 23.556753 34.231614 2040405.0 8012.0 \n",
	+ "154802 121765.612262 23.566963 34.201265 2040405.0 8012.0 \n",
	+ "154803 121760.247993 37.797327 55.148314 2040405.0 8012.0 \n",
	+ "154804 121763.783138 29.386703 53.499302 2040405.0 8012.0 \n",
	+ "154805 121745.126015 30.833490 33.393443 2040405.0 8012.0 \n",
	+ "154806 121740.921893 39.260540 82.722458 2040405.0 8012.0 \n",
	+ "154807 121776.663075 66.560300 226.093454 1018659.0 8011.0 \n",
	+ "154808 121769.520367 66.292584 222.913017 1018659.0 8011.0 \n",
	+ "154809 121844.774678 55.702429 114.847781 1018654.0 8011.0 \n",
	+ "154810 121842.120366 56.243851 121.027343 1018654.0 8011.0 \n",
	+ "154811 121857.263294 23.119281 19.328343 1018654.0 8011.0 \n",
	+ "154812 121855.152708 19.585625 20.336518 1018654.0 8011.0 \n",
	+ "154813 121829.041410 24.377198 31.954253 1018654.0 8011.0 \n",
	+ "154814 121831.368979 26.787103 42.321731 1018654.0 8011.0 \n",
	+ "154815 121838.457750 29.085365 34.768271 1018654.0 8011.0 \n",
	+ "154816 121962.982921 22.665441 32.006156 1018655.0 8014.0 \n",
	+ "154817 121964.977036 15.514710 12.886922 1018655.0 8014.0 \n",
	+ "154818 121907.640275 69.264065 181.708205 1018655.0 8014.0 \n",
	+ "154819 121910.827716 72.136766 201.586966 1018655.0 8014.0 \n",
	+ "154820 121763.322478 43.276794 116.796274 1018651.0 8013.0 \n",
	+ "154821 121758.418405 43.277184 116.797944 1018651.0 8013.0 \n",
	+ "154822 121945.700714 16.399780 14.964642 1018655.0 8014.0 \n",
	+ "154823 121946.778198 16.370630 14.885036 1018655.0 8014.0 \n",
	+ "\n",
	+ " ... n_corners panel_tilt best_align \\\n",
	+ "0 ... 4 10 vertical \n",
	+ "1 ... 4 37 equal \n",
	+ "2 ... 7 31 horizontal \n",
	+ "3 ... 4 37 horizontal \n",
	+ "4 ... 4 28 vertical \n",
	+ "5 ... 3 27 equal \n",
	+ "6 ... 4 31 vertical \n",
	+ "7 ... 4 31 vertical \n",
	+ "8 ... 5 26 horizontal \n",
	+ "9 ... 5 31 horizontal \n",
	+ "10 ... 5 31 horizontal \n",
	+ "11 ... 6 33 equal \n",
	+ "12 ... 5 32 vertical \n",
	+ "13 ... 4 26 vertical \n",
	+ "14 ... 4 26 vertical \n",
	+ "15 ... 5 37 horizontal \n",
	+ "16 ... 4 32 horizontal \n",
	+ "17 ... 4 38 vertical \n",
	+ "18 ... 4 28 horizontal \n",
	+ "19 ... 4 7 vertical \n",
	+ "20 ... 5 18 horizontal \n",
	+ "21 ... 6 19 horizontal \n",
	+ "22 ... 5 35 horizontal \n",
	+ "23 ... 5 34 horizontal \n",
	+ "24 ... 4 34 vertical \n",
	+ "25 ... 5 30 vertical \n",
	+ "26 ... 6 24 vertical \n",
	+ "27 ... 4 22 horizontal \n",
	+ "28 ... 6 33 horizontal \n",
	+ "29 ... 5 31 vertical \n",
	+ "... ... ... ... ... \n",
	+ "154794 ... 5 21 horizontal \n",
	+ "154795 ... 4 11 horizontal \n",
	+ "154796 ... 9 30 horizontal \n",
	+ "154797 ... 9 30 horizontal \n",
	+ "154798 ... 8 7 equal \n",
	+ "154799 ... 4 7 vertical \n",
	+ "154800 ... 6 11 horizontal \n",
	+ "154801 ... 5 21 equal \n",
	+ "154802 ... 4 19 equal \n",
	+ "154803 ... 8 17 vertical \n",
	+ "154804 ... 5 22 vertical \n",
	+ "154805 ... 7 22 horizontal \n",
	+ "154806 ... 8 20 horizontal \n",
	+ "154807 ... 4 15 horizontal \n",
	+ "154808 ... 4 16 horizontal \n",
	+ "154809 ... 5 29 vertical \n",
	+ "154810 ... 4 28 vertical \n",
	+ "154811 ... 6 23 vertical \n",
	+ "154812 ... 4 19 equal \n",
	+ "154813 ... 4 17 vertical \n",
	+ "154814 ... 4 13 horizontal \n",
	+ "154815 ... 6 30 vertical \n",
	+ "154816 ... 5 7 vertical \n",
	+ "154817 ... 5 25 vertical \n",
	+ "154818 ... 4 26 vertical \n",
	+ "154819 ... 6 25 horizontal \n",
	+ "154820 ... 4 22 equal \n",
	+ "154821 ... 4 22 equal \n",
	+ "154822 ... 4 32 equal \n",
	+ "154823 ... 4 33 equal \n",
	+ "\n",
	+ " panelled_area_ratio_ftr shaded_area_ratio_ftr shaded_area_ratio_tgt \\\n",
	+ "0 0.805740 0.117647 0.166667 \n",
	+ "1 0.390669 0.000000 0.386555 \n",
	+ "2 0.155843 0.000000 0.119318 \n",
	+ "3 0.390652 0.166667 0.322034 \n",
	+ "4 0.708866 0.333333 0.077193 \n",
	+ "5 0.140385 0.000000 0.075000 \n",
	+ "6 0.806868 0.135135 0.020101 \n",
	+ "7 0.808692 0.131579 0.161345 \n",
	+ "8 0.508551 0.000000 0.060241 \n",
	+ "9 0.479105 0.000000 0.000000 \n",
	+ "10 0.491953 0.000000 0.000000 \n",
	+ "11 0.240439 0.000000 0.266667 \n",
	+ "12 0.236983 0.000000 0.000000 \n",
	+ "13 0.664420 0.900000 0.785106 \n",
	+ "14 0.683138 0.214286 0.556291 \n",
	+ "15 0.673116 0.800000 0.973510 \n",
	+ "16 0.450739 0.142857 0.725000 \n",
	+ "17 0.641952 0.900000 0.961538 \n",
	+ "18 0.457623 0.125000 0.975610 \n",
	+ "19 0.640659 0.666667 0.925000 \n",
	+ "20 0.454549 0.000000 0.506173 \n",
	+ "21 0.449135 0.000000 0.543210 \n",
	+ "22 0.697125 0.142857 0.053333 \n",
	+ "23 0.734273 0.100000 0.034682 \n",
	+ "24 0.834434 0.109091 0.030093 \n",
	+ "25 0.767733 0.035714 0.008869 \n",
	+ "26 0.478251 0.000000 0.008130 \n",
	+ "27 0.593609 0.000000 0.005952 \n",
	+ "28 0.621352 0.000000 0.003610 \n",
	+ "29 0.710913 0.000000 0.092937 \n",
	+ "... ... ... ... \n",
	+ "154794 0.582028 0.000000 0.009434 \n",
	+ "154795 0.569172 0.000000 0.015152 \n",
	+ "154796 0.677122 0.000000 0.004149 \n",
	+ "154797 0.639859 0.064516 0.041841 \n",
	+ "154798 0.656369 0.045455 0.147541 \n",
	+ "154799 0.653339 0.000000 0.022857 \n",
	+ "154800 0.453267 0.000000 0.071429 \n",
	+ "154801 0.522396 0.000000 0.000000 \n",
	+ "154802 0.530687 0.000000 0.000000 \n",
	+ "154803 0.694324 0.000000 0.105023 \n",
	+ "154804 0.773988 0.076923 0.186916 \n",
	+ "154805 0.356559 0.000000 0.014493 \n",
	+ "154806 0.744948 0.052632 0.015291 \n",
	+ "154807 0.861033 0.000000 0.002212 \n",
	+ "154808 0.867294 0.000000 0.000000 \n",
	+ "154809 0.800451 0.033333 0.087146 \n",
	+ "154810 0.768899 0.000000 0.004124 \n",
	+ "154811 0.380799 0.000000 0.129870 \n",
	+ "154812 0.445654 0.000000 0.123457 \n",
	+ "154813 0.671820 0.125000 0.570312 \n",
	+ "154814 0.590432 0.000000 0.470588 \n",
	+ "154815 0.119561 0.111111 0.231884 \n",
	+ "154816 0.595122 0.000000 0.375000 \n",
	+ "154817 0.449135 0.500000 0.250000 \n",
	+ "154818 0.836042 0.022222 0.042582 \n",
	+ "154819 0.692926 0.102041 0.042131 \n",
	+ "154820 0.759459 0.035714 0.012876 \n",
	+ "154821 0.759441 0.000000 0.040598 \n",
	+ "154822 0.360795 0.000000 0.000000 \n",
	+ "154823 0.362166 0.000000 0.016393 \n",
	+ "\n",
	+ " tilt_cat orientation_cat available_area_ratio \\\n",
	+ "0 shallow_tilt N 0.671450 \n",
	+ "1 medium_tilt SW 0.106513 \n",
	+ "2 medium_tilt SE 0.137248 \n",
	+ "3 medium_tilt N 0.147138 \n",
	+ "4 medium_tilt N 0.654146 \n",
	+ "5 medium_tilt N 0.129856 \n",
	+ "6 medium_tilt N 0.790649 \n",
	+ "7 medium_tilt SW 0.678214 \n",
	+ "8 medium_tilt SW 0.260681 \n",
	+ "9 medium_tilt N 0.479105 \n",
	+ "10 medium_tilt N 0.491953 \n",
	+ "11 medium_tilt N 0.176322 \n",
	+ "12 medium_tilt SE 0.236983 \n",
	+ "13 medium_tilt N 0.142780 \n",
	+ "14 medium_tilt SW 0.303114 \n",
	+ "15 medium_tilt N 0.017831 \n",
	+ "16 medium_tilt SW 0.123953 \n",
	+ "17 medium_tilt SW 0.024690 \n",
	+ "18 medium_tilt N 0.011162 \n",
	+ "19 shallow_tilt SW 0.048049 \n",
	+ "20 shallow_tilt N 0.224469 \n",
	+ "21 shallow_tilt SW 0.205161 \n",
	+ "22 medium_tilt N 0.659945 \n",
	+ "23 medium_tilt SW 0.649740 \n",
	+ "24 medium_tilt N 0.809324 \n",
	+ "25 medium_tilt SE 0.760923 \n",
	+ "26 medium_tilt N 0.474363 \n",
	+ "27 medium_tilt SW 0.590075 \n",
	+ "28 medium_tilt SE 0.619109 \n",
	+ "29 medium_tilt N 0.368482 \n",
	+ "... ... ... ... \n",
	+ "154794 medium_tilt N 0.576538 \n",
	+ "154795 shallow_tilt SW 0.560548 \n",
	+ "154796 medium_tilt SE 0.674312 \n",
	+ "154797 medium_tilt N 0.613087 \n",
	+ "154798 shallow_tilt N 0.559528 \n",
	+ "154799 shallow_tilt N 0.638405 \n",
	+ "154800 shallow_tilt N 0.420890 \n",
	+ "154801 medium_tilt N 0.522396 \n",
	+ "154802 shallow_tilt SE 0.530687 \n",
	+ "154803 shallow_tilt SE 0.621404 \n",
	+ "154804 medium_tilt N 0.629317 \n",
	+ "154805 medium_tilt N 0.351391 \n",
	+ "154806 medium_tilt SW 0.733557 \n",
	+ "154807 shallow_tilt N 0.859128 \n",
	+ "154808 shallow_tilt SW 0.867294 \n",
	+ "154809 medium_tilt N 0.675339 \n",
	+ "154810 medium_tilt SE 0.765728 \n",
	+ "154811 medium_tilt N 0.331345 \n",
	+ "154812 shallow_tilt SW 0.390635 \n",
	+ "154813 shallow_tilt SE 0.288673 \n",
	+ "154814 shallow_tilt N 0.312582 \n",
	+ "154815 flat S 0.091837 \n",
	+ "154816 shallow_tilt SE 0.371951 \n",
	+ "154817 medium_tilt N 0.336851 \n",
	+ "154818 medium_tilt SE 0.800441 \n",
	+ "154819 medium_tilt N 0.663732 \n",
	+ "154820 medium_tilt N 0.749680 \n",
	+ "154821 medium_tilt SE 0.728609 \n",
	+ "154822 medium_tilt SE 0.360795 \n",
	+ "154823 medium_tilt N 0.356229 \n",
	+ "\n",
	+ " panelled_area_ratio_tgt \n",
	+ "0 0.805740 \n",
	+ "1 0.173631 \n",
	+ "2 0.155843 \n",
	+ "3 0.217029 \n",
	+ "4 0.708866 \n",
	+ "5 0.140385 \n",
	+ "6 0.806868 \n",
	+ "7 0.808692 \n",
	+ "8 0.277391 \n",
	+ "9 0.479105 \n",
	+ "10 0.491953 \n",
	+ "11 0.240439 \n",
	+ "12 0.236983 \n",
	+ "13 0.664420 \n",
	+ "14 0.683138 \n",
	+ "15 0.673116 \n",
	+ "16 0.450739 \n",
	+ "17 0.641952 \n",
	+ "18 0.457623 \n",
	+ "19 0.640659 \n",
	+ "20 0.454549 \n",
	+ "21 0.449135 \n",
	+ "22 0.697125 \n",
	+ "23 0.673084 \n",
	+ "24 0.834434 \n",
	+ "25 0.767733 \n",
	+ "26 0.478251 \n",
	+ "27 0.593609 \n",
	+ "28 0.621352 \n",
	+ "29 0.406236 \n",
	+ "... ... \n",
	+ "154794 0.582028 \n",
	+ "154795 0.569172 \n",
	+ "154796 0.677122 \n",
	+ "154797 0.639859 \n",
	+ "154798 0.656369 \n",
	+ "154799 0.653339 \n",
	+ "154800 0.453267 \n",
	+ "154801 0.522396 \n",
	+ "154802 0.530687 \n",
	+ "154803 0.694324 \n",
	+ "154804 0.773988 \n",
	+ "154805 0.356559 \n",
	+ "154806 0.744948 \n",
	+ "154807 0.861033 \n",
	+ "154808 0.867294 \n",
	+ "154809 0.739811 \n",
	+ "154810 0.768899 \n",
	+ "154811 0.380799 \n",
	+ "154812 0.445654 \n",
	+ "154813 0.671820 \n",
	+ "154814 0.590432 \n",
	+ "154815 0.119561 \n",
	+ "154816 0.595122 \n",
	+ "154817 0.449135 \n",
	+ "154818 0.836042 \n",
	+ "154819 0.692926 \n",
	+ "154820 0.759459 \n",
	+ "154821 0.759441 \n",
	+ "154822 0.360795 \n",
	+ "154823 0.362166 \n",
	+ "\n",
	+ "[154824 rows x 28 columns]"
	+ ]
	+ },
	+ "execution_count": 11,
	+ "metadata": {},
	+ "output_type": "execute_result"
	+ }
	+ ],
	+ "source": [
	+ "learning_table"
	+ ]
	+ },
	+ {
	+ "cell_type": "markdown",
	+ "metadata": {},
	+ "source": [
	+ "# MBE Approximation"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 12,
	+ "metadata": {},
	+ "outputs": [],
	+ "source": [
	+ "MBE_shading = np.mean(training.shaded_area_ratio_tgt - training.shaded_area_ratio_ftr)\n",
	+ "MBE_panels = np.mean(training.panelled_area_ratio_tgt - training.panelled_area_ratio_ftr)"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 13,
	+ "metadata": {},
	+ "outputs": [],
	+ "source": [
	+ "shading_pred = np.maximum( np.minimum( validation.shaded_area_ratio_ftr + MBE_shading , 1), 0)\n",
	+ "panels_pred = np.maximum( np.minimum( validation.panelled_area_ratio_ftr.values + MBE_panels, 1), 0)\n",
	+ "av_area_pred = (1 - shading_pred) * panels_pred"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 14,
	+ "metadata": {},
	+ "outputs": [
	+ {
	+ "name": "stdout",
	+ "output_type": "stream",
	+ "text": [
	+ "Validation MSE (shading): 0.043389\n",
	+ "Validation MSE (panelling): 0.011387\n",
	+ "Validation MSE (combined): 0.016567\n"
	+ ]
	+ }
	+ ],
	+ "source": [
	+ "# FOR MULTIPLE TARGETS (shaded_area_ratio_tgt, panelled_area_ratio_tgt)\n",
	+ "print( 'Validation MSE (shading): %f' %mse( shading_pred , validation.shaded_area_ratio_tgt ))\n",
	+ "print( 'Validation MSE (panelling): %f' %mse( panels_pred , validation.panelled_area_ratio_tgt ))\n",
	+ "print( 'Validation MSE (combined): %f' %mse( av_area_pred , validation.available_area_ratio ))"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 15,
	+ "metadata": {},
	+ "outputs": [
	+ {
	+ "name": "stdout",
	+ "output_type": "stream",
	+ "text": [
	+ "Validation RMSE (shading): 0.208299\n",
	+ "Validation RMSE (panelling): 0.106709\n",
	+ "Validation RMSE (combined): 0.128714\n"
	+ ]
	+ }
	+ ],
	+ "source": [
	+ "print( 'Validation RMSE (shading): %f' %np.sqrt( mse( shading_pred , validation.shaded_area_ratio_tgt )))\n",
	+ "print( 'Validation RMSE (panelling): %f' %np.sqrt( mse( panels_pred , validation.panelled_area_ratio_tgt )))\n",
	+ "print( 'Validation RMSE (combined): %f' %np.sqrt( mse( av_area_pred , validation.available_area_ratio )))"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 16,
	+ "metadata": {},
	+ "outputs": [
	+ {
	+ "name": "stdout",
	+ "output_type": "stream",
	+ "text": [
	+ "Validation MAE (shading): 0.142402\n",
	+ "Validation MAE (panelling): 0.067125\n",
	+ "Validation MAE (combined): 0.098143\n"
	+ ]
	+ }
	+ ],
	+ "source": [
	+ "print( 'Validation MAE (shading): %f' %mae( shading_pred , validation.shaded_area_ratio_tgt ))\n",
	+ "print( 'Validation MAE (panelling): %f' %mae( panels_pred , validation.panelled_area_ratio_tgt ))\n",
	+ "print( 'Validation MAE (combined): %f' %mae( av_area_pred , validation.available_area_ratio ))"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 17,
	+ "metadata": {},
	+ "outputs": [
	+ {
	+ "name": "stdout",
	+ "output_type": "stream",
	+ "text": [
	+ "Validation MBE (shading): -0.001925\n",
	+ "Validation MBE (panelling): 0.001191\n",
	+ "Validation MBE (combined): -0.006433\n"
	+ ]
	+ }
	+ ],
	+ "source": [
	+ "print( 'Validation MBE (shading): %f' %np.mean( shading_pred - validation.shaded_area_ratio_tgt ))\n",
	+ "print( 'Validation MBE (panelling): %f' %np.mean( panels_pred - validation.panelled_area_ratio_tgt ))\n",
	+ "print( 'Validation MBE (combined): %f' %np.mean( av_area_pred - validation.available_area_ratio ))"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": null,
	+ "metadata": {},
	+ "outputs": [],
	+ "source": []
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": null,
	+ "metadata": {},
	+ "outputs": [],
	+ "source": []
	+ },
	+ {
	+ "cell_type": "markdown",
	+ "metadata": {},
	+ "source": [
	+ "# Random Forest"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 17,
	+ "metadata": {},
	+ "outputs": [],
	+ "source": [
	+ "n_est = 200\n",
	+ "# tree_depth = 10\n",
	+ "\n",
	+ "x = training.loc[ : , feature_names ]\n",
	+ "t = training.loc[ : , label_name ]"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 18,
	+ "metadata": {
	+ "scrolled": true
	+ },
	+ "outputs": [
	+ {
	+ "name": "stdout",
	+ "output_type": "stream",
	+ "text": [
	+ "CPU time: 354.36 seconds\n",
	+ "Wall clock time: 94.32 seconds\n"
	+ ]
	+ }
	+ ],
	+ "source": [
	+ "RF = RandomForestRegressor(n_estimators = n_est, criterion = 'mse', n_jobs = -1)\n",
	+ "\n",
	+ "tt = util.Timer()\n",
	+ "RF.fit(x,t)\n",
	+ "tt.stop()"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 19,
	+ "metadata": {
	+ "scrolled": true
	+ },
	+ "outputs": [
	+ {
	+ "name": "stdout",
	+ "output_type": "stream",
	+ "text": [
	+ "Training MSE: 0.002798\n"
	+ ]
	+ }
	+ ],
	+ "source": [
	+ "y = RF.predict(x)\n",
	+ "print( 'Training MSE: %f' %mse(y,t))"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 20,
	+ "metadata": {
	+ "scrolled": true
	+ },
	+ "outputs": [
	+ {
	+ "name": "stdout",
	+ "output_type": "stream",
	+ "text": [
	+ "Validation MSE: 0.020185\n"
	+ ]
	+ }
	+ ],
	+ "source": [
	+ "x_val = validation.loc[ : , feature_names ]\n",
	+ "t_val = validation.loc[ : , label_name]\n",
	+ "\n",
	+ "y_val = RF.predict(x_val)\n",
	+ "print( 'Validation MSE: %f' %mse(y_val,t_val))"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 21,
	+ "metadata": {
	+ "scrolled": false
	+ },
	+ "outputs": [
	+ {
	+ "name": "stdout",
	+ "output_type": "stream",
	+ "text": [
	+ "Validation RMSE: 0.142075\n",
	+ "Validation MAE: 0.087015\n",
	+ "Validation MBE: 0.001355\n"
	+ ]
	+ }
	+ ],
	+ "source": [
	+ "# FOR A SINGLE TARGET (available_area_ratio)\n",
	+ "print( 'Validation RMSE: %f' %np.sqrt(mse(y_val,t_val)))\n",
	+ "print( 'Validation MAE: %f' %mae(y_val,t_val))\n",
	+ "print( 'Validation MBE: %f' %np.mean( y_val - t_val.values))"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 22,
	+ "metadata": {},
	+ "outputs": [
	+ {
	+ "name": "stdout",
	+ "output_type": "stream",
	+ "text": [
	+ "Validation MSE (shading): 0.031665\n",
	+ "Validation MSE (panelling): 0.008705\n",
	+ "Validation MSE (combined): 0.012994\n"
	+ ]
	+ }
	+ ],
	+ "source": [
	+ "# FOR MULTIPLE TARGETS (shaded_area_ratio_tgt, panelled_area_ratio_tgt)\n",
	+ "print( 'Validation MSE (shading): %f' %mse(y_val[:,0],t_val.iloc[:,0]))\n",
	+ "print( 'Validation MSE (panelling): %f' %mse(y_val[:,1],t_val.iloc[:,1]))\n",
	+ "print( 'Validation MSE (combined): %f' %mse((1 - y_val[:,0]) * y_val[:,1],( 1 - t_val.iloc[:,0]) * t_val.iloc[:,1]))"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 23,
	+ "metadata": {},
	+ "outputs": [
	+ {
	+ "name": "stdout",
	+ "output_type": "stream",
	+ "text": [
	+ "Validation RMSE (shading): 0.177948\n",
	+ "Validation RMSE (panelling): 0.093302\n",
	+ "Validation RMSE (combined): 0.113991\n"
	+ ]
	+ }
	+ ],
	+ "source": [
	+ "# FOR MULTIPLE TARGETS (shaded_area_ratio_tgt, panelled_area_ratio_tgt)\n",
	+ "print( 'Validation RMSE (shading): %f' %np.sqrt(mse(y_val[:,0],t_val.iloc[:,0])))\n",
	+ "print( 'Validation RMSE (panelling): %f' %np.sqrt(mse(y_val[:,1],t_val.iloc[:,1])))\n",
	+ "print( 'Validation RMSE (combined): %f' %np.sqrt(mse((1 - y_val[:,0]) * y_val[:,1],( 1 - t_val.iloc[:,0]) * t_val.iloc[:,1])))"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 24,
	+ "metadata": {},
	+ "outputs": [
	+ {
	+ "name": "stdout",
	+ "output_type": "stream",
	+ "text": [
	+ "Validation MAE (shading): 0.118576\n",
	+ "Validation MAE (panelling): 0.055455\n",
	+ "Validation MAE (combined): 0.082580\n"
	+ ]
	+ }
	+ ],
	+ "source": [
	+ "# FOR MULTIPLE TARGETS (shaded_area_ratio_tgt, panelled_area_ratio_tgt)\n",
	+ "print( 'Validation MAE (shading): %f' %mae(y_val[:,0],t_val.iloc[:,0]))\n",
	+ "print( 'Validation MAE (panelling): %f' %mae(y_val[:,1],t_val.iloc[:,1]))\n",
	+ "print( 'Validation MAE (combined): %f' %mae((1 - y_val[:,0]) * y_val[:,1],( 1 - t_val.iloc[:,0]) * t_val.iloc[:,1]))"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 27,
	+ "metadata": {
	+ "scrolled": true
	+ },
	+ "outputs": [
	+ {
	+ "name": "stdout",
	+ "output_type": "stream",
	+ "text": [
	+ "Validation MBE (shading): 0.005875\n",
	+ "Validation MBE (panelling): -0.002592\n",
	+ "Validation MBE (combined): -0.005540\n"
	+ ]
	+ }
	+ ],
	+ "source": [
	+ "# FOR MULTIPLE TARGETS (shaded_area_ratio_tgt, panelled_area_ratio_tgt)\n",
	+ "print( 'Validation MBE (shading): %f' %np.mean(y_val[:,0]-t_val.iloc[:,0]))\n",
	+ "print( 'Validation MBE (panelling): %f' %np.mean(y_val[:,1]-t_val.iloc[:,1]))\n",
	+ "print( 'Validation MBE (combined): %f' %np.mean((1 - y_val[:,0]) * y_val[:,1]-( 1 - t_val.iloc[:,0]) * t_val.iloc[:,1]))"
	+ ]
	+ },
	+ {
	+ "cell_type": "markdown",
	+ "metadata": {},
	+ "source": [
	+ "### Feature importance (all features)"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 171,
	+ "metadata": {},
	+ "outputs": [],
	+ "source": [
	+ "n_features = len(x.columns)\n",
	+ "importance = np.mean([tree.feature_importances_ for tree in RF.estimators_],axis=0)\n",
	+ "std = np.std([tree.feature_importances_ for tree in RF.estimators_],axis=0)\n",
	+ "ind = np.argsort(importance)[-n_features:]"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 172,
	+ "metadata": {},
	+ "outputs": [
	+ {
	+ "name": "stdout",
	+ "output_type": "stream",
	+ "text": [
	+ "[0.20015829 0.41930545 0.02777562 0.05334828 0.03734801 0.04529424\n",
	+ " 0.04283491 0.01341948 0.0254214 0.01620846 0.03105053 0.01006987\n",
	+ " 0.04333051 0.03443496]\n",
	+ "[0.00249603 0.0019589 0.00209606 0.00147573 0.00216068 0.00234554\n",
	+ " 0.00184351 0.00064939 0.00200405 0.00068381 0.00102614 0.00057901\n",
	+ " 0.00125957 0.00099208]\n",
	+ "[11 7 9 8 2 10 13 4 6 12 5 3 0 1]\n"
	+ ]
	+ }
	+ ],
	+ "source": [
	+ "print(importance)\n",
	+ "print(std)\n",
	+ "print(ind)"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 173,
	+ "metadata": {},
	+ "outputs": [
	+ {
	+ "name": "stdout",
	+ "output_type": "stream",
	+ "text": [
	+ "Index(['shaded_area_ratio_ftr', 'panelled_area_ratio_ftr', 'NEIGUNG',\n",
	+ " 'AUSRICHTUNG', 'FLAECHE', 'Shape_Length', 'Shape_Ratio', 'n_corners',\n",
	+ " 'panel_tilt', 'GASTW', 'GBAUP', 'GKAT', 'GAREA', 'n_neighbors_100'],\n",
	+ " dtype='object')\n"
	+ ]
	+ }
	+ ],
	+ "source": [
	+ "# rename features for plotting:\n",
	+ "print(x.columns)\n",
	+ "feature_names = x.columns # np.asarray(['ratio_2m', 'n_shaded', 'n_unshaded', 'n_cells', 'roof_tilt', 'roof_orientation', 'roof_area', 'roof_perim', 'roof_shape_idx', 'building_levels', 'building_period', 'building_category', 'building_area', 'neighbor_count'])"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 174,
	+ "metadata": {
	+ "scrolled": false
	+ },
	+ "outputs": [
	+ {
	+ "data": {
	+ "application/javascript": [
	+ "/* Put everything inside the global mpl namespace */\n",
	+ "window.mpl = {};\n",
	+ "\n",
	+ "\n",
	+ "mpl.get_websocket_type = function() {\n",
	+ " if (typeof(WebSocket) !== 'undefined') {\n",
	+ " return WebSocket;\n",
	+ " } else if (typeof(MozWebSocket) !== 'undefined') {\n",
	+ " return MozWebSocket;\n",
	+ " } else {\n",
	+ " alert('Your browser does not have WebSocket support.' +\n",
	+ " 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
	+ " 'Firefox 4 and 5 are also supported but you ' +\n",
	+ " 'have to enable WebSockets in about:config.');\n",
	+ " };\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
	+ " this.id = figure_id;\n",
	+ "\n",
	+ " this.ws = websocket;\n",
	+ "\n",
	+ " this.supports_binary = (this.ws.binaryType != undefined);\n",
	+ "\n",
	+ " if (!this.supports_binary) {\n",
	+ " var warnings = document.getElementById(\"mpl-warnings\");\n",
	+ " if (warnings) {\n",
	+ " warnings.style.display = 'block';\n",
	+ " warnings.textContent = (\n",
	+ " \"This browser does not support binary websocket messages. \" +\n",
	+ " \"Performance may be slow.\");\n",
	+ " }\n",
	+ " }\n",
	+ "\n",
	+ " this.imageObj = new Image();\n",
	+ "\n",
	+ " this.context = undefined;\n",
	+ " this.message = undefined;\n",
	+ " this.canvas = undefined;\n",
	+ " this.rubberband_canvas = undefined;\n",
	+ " this.rubberband_context = undefined;\n",
	+ " this.format_dropdown = undefined;\n",
	+ "\n",
	+ " this.image_mode = 'full';\n",
	+ "\n",
	+ " this.root = $('<div/>');\n",
	+ " this._root_extra_style(this.root)\n",
	+ " this.root.attr('style', 'display: inline-block');\n",
	+ "\n",
	+ " $(parent_element).append(this.root);\n",
	+ "\n",
	+ " this._init_header(this);\n",
	+ " this._init_canvas(this);\n",
	+ " this._init_toolbar(this);\n",
	+ "\n",
	+ " var fig = this;\n",
	+ "\n",
	+ " this.waiting = false;\n",
	+ "\n",
	+ " this.ws.onopen = function () {\n",
	+ " fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
	+ " fig.send_message(\"send_image_mode\", {});\n",
	+ " if (mpl.ratio != 1) {\n",
	+ " fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
	+ " }\n",
	+ " fig.send_message(\"refresh\", {});\n",
	+ " }\n",
	+ "\n",
	+ " this.imageObj.onload = function() {\n",
	+ " if (fig.image_mode == 'full') {\n",
	+ " // Full images could contain transparency (where diff images\n",
	+ " // almost always do), so we need to clear the canvas so that\n",
	+ " // there is no ghosting.\n",
	+ " fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
	+ " }\n",
	+ " fig.context.drawImage(fig.imageObj, 0, 0);\n",
	+ " };\n",
	+ "\n",
	+ " this.imageObj.onunload = function() {\n",
	+ " fig.ws.close();\n",
	+ " }\n",
	+ "\n",
	+ " this.ws.onmessage = this._make_on_message_function(this);\n",
	+ "\n",
	+ " this.ondownload = ondownload;\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._init_header = function() {\n",
	+ " var titlebar = $(\n",
	+ " '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
	+ " 'ui-helper-clearfix\"/>');\n",
	+ " var titletext = $(\n",
	+ " '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
	+ " 'text-align: center; padding: 3px;\"/>');\n",
	+ " titlebar.append(titletext)\n",
	+ " this.root.append(titlebar);\n",
	+ " this.header = titletext[0];\n",
	+ "}\n",
	+ "\n",
	+ "\n",
	+ "\n",
	+ "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
	+ "\n",
	+ "}\n",
	+ "\n",
	+ "\n",
	+ "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
	+ "\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._init_canvas = function() {\n",
	+ " var fig = this;\n",
	+ "\n",
	+ " var canvas_div = $('<div/>');\n",
	+ "\n",
	+ " canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
	+ "\n",
	+ " function canvas_keyboard_event(event) {\n",
	+ " return fig.key_event(event, event['data']);\n",
	+ " }\n",
	+ "\n",
	+ " canvas_div.keydown('key_press', canvas_keyboard_event);\n",
	+ " canvas_div.keyup('key_release', canvas_keyboard_event);\n",
	+ " this.canvas_div = canvas_div\n",
	+ " this._canvas_extra_style(canvas_div)\n",
	+ " this.root.append(canvas_div);\n",
	+ "\n",
	+ " var canvas = $('<canvas/>');\n",
	+ " canvas.addClass('mpl-canvas');\n",
	+ " canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
	+ "\n",
	+ " this.canvas = canvas[0];\n",
	+ " this.context = canvas[0].getContext(\"2d\");\n",
	+ "\n",
	+ " var backingStore = this.context.backingStorePixelRatio \|\|\n",
	+ "\tthis.context.webkitBackingStorePixelRatio \|\|\n",
	+ "\tthis.context.mozBackingStorePixelRatio \|\|\n",
	+ "\tthis.context.msBackingStorePixelRatio \|\|\n",
	+ "\tthis.context.oBackingStorePixelRatio \|\|\n",
	+ "\tthis.context.backingStorePixelRatio \|\| 1;\n",
	+ "\n",
	+ " mpl.ratio = (window.devicePixelRatio \|\| 1) / backingStore;\n",
	+ "\n",
	+ " var rubberband = $('<canvas/>');\n",
	+ " rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
	+ "\n",
	+ " var pass_mouse_events = true;\n",
	+ "\n",
	+ " canvas_div.resizable({\n",
	+ " start: function(event, ui) {\n",
	+ " pass_mouse_events = false;\n",
	+ " },\n",
	+ " resize: function(event, ui) {\n",
	+ " fig.request_resize(ui.size.width, ui.size.height);\n",
	+ " },\n",
	+ " stop: function(event, ui) {\n",
	+ " pass_mouse_events = true;\n",
	+ " fig.request_resize(ui.size.width, ui.size.height);\n",
	+ " },\n",
	+ " });\n",
	+ "\n",
	+ " function mouse_event_fn(event) {\n",
	+ " if (pass_mouse_events)\n",
	+ " return fig.mouse_event(event, event['data']);\n",
	+ " }\n",
	+ "\n",
	+ " rubberband.mousedown('button_press', mouse_event_fn);\n",
	+ " rubberband.mouseup('button_release', mouse_event_fn);\n",
	+ " // Throttle sequential mouse events to 1 every 20ms.\n",
	+ " rubberband.mousemove('motion_notify', mouse_event_fn);\n",
	+ "\n",
	+ " rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
	+ " rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
	+ "\n",
	+ " canvas_div.on(\"wheel\", function (event) {\n",
	+ " event = event.originalEvent;\n",
	+ " event['data'] = 'scroll'\n",
	+ " if (event.deltaY < 0) {\n",
	+ " event.step = 1;\n",
	+ " } else {\n",
	+ " event.step = -1;\n",
	+ " }\n",
	+ " mouse_event_fn(event);\n",
	+ " });\n",
	+ "\n",
	+ " canvas_div.append(canvas);\n",
	+ " canvas_div.append(rubberband);\n",
	+ "\n",
	+ " this.rubberband = rubberband;\n",
	+ " this.rubberband_canvas = rubberband[0];\n",
	+ " this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
	+ " this.rubberband_context.strokeStyle = \"#000000\";\n",
	+ "\n",
	+ " this._resize_canvas = function(width, height) {\n",
	+ " // Keep the size of the canvas, canvas container, and rubber band\n",
	+ " // canvas in synch.\n",
	+ " canvas_div.css('width', width)\n",
	+ " canvas_div.css('height', height)\n",
	+ "\n",
	+ " canvas.attr('width', width * mpl.ratio);\n",
	+ " canvas.attr('height', height * mpl.ratio);\n",
	+ " canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
	+ "\n",
	+ " rubberband.attr('width', width);\n",
	+ " rubberband.attr('height', height);\n",
	+ " }\n",
	+ "\n",
	+ " // Set the figure to an initial 600x600px, this will subsequently be updated\n",
	+ " // upon first draw.\n",
	+ " this._resize_canvas(600, 600);\n",
	+ "\n",
	+ " // Disable right mouse context menu.\n",
	+ " $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
	+ " return false;\n",
	+ " });\n",
	+ "\n",
	+ " function set_focus () {\n",
	+ " canvas.focus();\n",
	+ " canvas_div.focus();\n",
	+ " }\n",
	+ "\n",
	+ " window.setTimeout(set_focus, 100);\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._init_toolbar = function() {\n",
	+ " var fig = this;\n",
	+ "\n",
	+ " var nav_element = $('<div/>')\n",
	+ " nav_element.attr('style', 'width: 100%');\n",
	+ " this.root.append(nav_element);\n",
	+ "\n",
	+ " // Define a callback function for later on.\n",
	+ " function toolbar_event(event) {\n",
	+ " return fig.toolbar_button_onclick(event['data']);\n",
	+ " }\n",
	+ " function toolbar_mouse_event(event) {\n",
	+ " return fig.toolbar_button_onmouseover(event['data']);\n",
	+ " }\n",
	+ "\n",
	+ " for(var toolbar_ind in mpl.toolbar_items) {\n",
	+ " var name = mpl.toolbar_items[toolbar_ind][0];\n",
	+ " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
	+ " var image = mpl.toolbar_items[toolbar_ind][2];\n",
	+ " var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
	+ "\n",
	+ " if (!name) {\n",
	+ " // put a spacer in here.\n",
	+ " continue;\n",
	+ " }\n",
	+ " var button = $('<button/>');\n",
	+ " button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
	+ " 'ui-button-icon-only');\n",
	+ " button.attr('role', 'button');\n",
	+ " button.attr('aria-disabled', 'false');\n",
	+ " button.click(method_name, toolbar_event);\n",
	+ " button.mouseover(tooltip, toolbar_mouse_event);\n",
	+ "\n",
	+ " var icon_img = $('<span/>');\n",
	+ " icon_img.addClass('ui-button-icon-primary ui-icon');\n",
	+ " icon_img.addClass(image);\n",
	+ " icon_img.addClass('ui-corner-all');\n",
	+ "\n",
	+ " var tooltip_span = $('<span/>');\n",
	+ " tooltip_span.addClass('ui-button-text');\n",
	+ " tooltip_span.html(tooltip);\n",
	+ "\n",
	+ " button.append(icon_img);\n",
	+ " button.append(tooltip_span);\n",
	+ "\n",
	+ " nav_element.append(button);\n",
	+ " }\n",
	+ "\n",
	+ " var fmt_picker_span = $('<span/>');\n",
	+ "\n",
	+ " var fmt_picker = $('<select/>');\n",
	+ " fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
	+ " fmt_picker_span.append(fmt_picker);\n",
	+ " nav_element.append(fmt_picker_span);\n",
	+ " this.format_dropdown = fmt_picker[0];\n",
	+ "\n",
	+ " for (var ind in mpl.extensions) {\n",
	+ " var fmt = mpl.extensions[ind];\n",
	+ " var option = $(\n",
	+ " '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
	+ " fmt_picker.append(option)\n",
	+ " }\n",
	+ "\n",
	+ " // Add hover states to the ui-buttons\n",
	+ " $( \".ui-button\" ).hover(\n",
	+ " function() { $(this).addClass(\"ui-state-hover\");},\n",
	+ " function() { $(this).removeClass(\"ui-state-hover\");}\n",
	+ " );\n",
	+ "\n",
	+ " var status_bar = $('<span class=\"mpl-message\"/>');\n",
	+ " nav_element.append(status_bar);\n",
	+ " this.message = status_bar[0];\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
	+ " // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
	+ " // which will in turn request a refresh of the image.\n",
	+ " this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.send_message = function(type, properties) {\n",
	+ " properties['type'] = type;\n",
	+ " properties['figure_id'] = this.id;\n",
	+ " this.ws.send(JSON.stringify(properties));\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.send_draw_message = function() {\n",
	+ " if (!this.waiting) {\n",
	+ " this.waiting = true;\n",
	+ " this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
	+ " }\n",
	+ "}\n",
	+ "\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
	+ " var format_dropdown = fig.format_dropdown;\n",
	+ " var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
	+ " fig.ondownload(fig, format);\n",
	+ "}\n",
	+ "\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
	+ " var size = msg['size'];\n",
	+ " if (size[0] != fig.canvas.width \|\| size[1] != fig.canvas.height) {\n",
	+ " fig._resize_canvas(size[0], size[1]);\n",
	+ " fig.send_message(\"refresh\", {});\n",
	+ " };\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
	+ " var x0 = msg['x0'] / mpl.ratio;\n",
	+ " var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
	+ " var x1 = msg['x1'] / mpl.ratio;\n",
	+ " var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
	+ " x0 = Math.floor(x0) + 0.5;\n",
	+ " y0 = Math.floor(y0) + 0.5;\n",
	+ " x1 = Math.floor(x1) + 0.5;\n",
	+ " y1 = Math.floor(y1) + 0.5;\n",
	+ " var min_x = Math.min(x0, x1);\n",
	+ " var min_y = Math.min(y0, y1);\n",
	+ " var width = Math.abs(x1 - x0);\n",
	+ " var height = Math.abs(y1 - y0);\n",
	+ "\n",
	+ " fig.rubberband_context.clearRect(\n",
	+ " 0, 0, fig.canvas.width, fig.canvas.height);\n",
	+ "\n",
	+ " fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
	+ " // Updates the figure title.\n",
	+ " fig.header.textContent = msg['label'];\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
	+ " var cursor = msg['cursor'];\n",
	+ " switch(cursor)\n",
	+ " {\n",
	+ " case 0:\n",
	+ " cursor = 'pointer';\n",
	+ " break;\n",
	+ " case 1:\n",
	+ " cursor = 'default';\n",
	+ " break;\n",
	+ " case 2:\n",
	+ " cursor = 'crosshair';\n",
	+ " break;\n",
	+ " case 3:\n",
	+ " cursor = 'move';\n",
	+ " break;\n",
	+ " }\n",
	+ " fig.rubberband_canvas.style.cursor = cursor;\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
	+ " fig.message.textContent = msg['message'];\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
	+ " // Request the server to send over a new figure.\n",
	+ " fig.send_draw_message();\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
	+ " fig.image_mode = msg['mode'];\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.updated_canvas_event = function() {\n",
	+ " // Called whenever the canvas gets updated.\n",
	+ " this.send_message(\"ack\", {});\n",
	+ "}\n",
	+ "\n",
	+ "// A function to construct a web socket function for onmessage handling.\n",
	+ "// Called in the figure constructor.\n",
	+ "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
	+ " return function socket_on_message(evt) {\n",
	+ " if (evt.data instanceof Blob) {\n",
	+ " /* FIXME: We get \"Resource interpreted as Image but\n",
	+ " * transferred with MIME type text/plain:\" errors on\n",
	+ " * Chrome. But how to set the MIME type? It doesn't seem\n",
	+ " * to be part of the websocket stream */\n",
	+ " evt.data.type = \"image/png\";\n",
	+ "\n",
	+ " /* Free the memory for the previous frames */\n",
	+ " if (fig.imageObj.src) {\n",
	+ " (window.URL \|\| window.webkitURL).revokeObjectURL(\n",
	+ " fig.imageObj.src);\n",
	+ " }\n",
	+ "\n",
	+ " fig.imageObj.src = (window.URL \|\| window.webkitURL).createObjectURL(\n",
	+ " evt.data);\n",
	+ " fig.updated_canvas_event();\n",
	+ " fig.waiting = false;\n",
	+ " return;\n",
	+ " }\n",
	+ " else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
	+ " fig.imageObj.src = evt.data;\n",
	+ " fig.updated_canvas_event();\n",
	+ " fig.waiting = false;\n",
	+ " return;\n",
	+ " }\n",
	+ "\n",
	+ " var msg = JSON.parse(evt.data);\n",
	+ " var msg_type = msg['type'];\n",
	+ "\n",
	+ " // Call the \"handle_{type}\" callback, which takes\n",
	+ " // the figure and JSON message as its only arguments.\n",
	+ " try {\n",
	+ " var callback = fig[\"handle_\" + msg_type];\n",
	+ " } catch (e) {\n",
	+ " console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
	+ " return;\n",
	+ " }\n",
	+ "\n",
	+ " if (callback) {\n",
	+ " try {\n",
	+ " // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
	+ " callback(fig, msg);\n",
	+ " } catch (e) {\n",
	+ " console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
	+ " }\n",
	+ " }\n",
	+ " };\n",
	+ "}\n",
	+ "\n",
	+ "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
	+ "mpl.findpos = function(e) {\n",
	+ " //this section is from http://www.quirksmode.org/js/events_properties.html\n",
	+ " var targ;\n",
	+ " if (!e)\n",
	+ " e = window.event;\n",
	+ " if (e.target)\n",
	+ " targ = e.target;\n",
	+ " else if (e.srcElement)\n",
	+ " targ = e.srcElement;\n",
	+ " if (targ.nodeType == 3) // defeat Safari bug\n",
	+ " targ = targ.parentNode;\n",
	+ "\n",
	+ " // jQuery normalizes the pageX and pageY\n",
	+ " // pageX,Y are the mouse positions relative to the document\n",
	+ " // offset() returns the position of the element relative to the document\n",
	+ " var x = e.pageX - $(targ).offset().left;\n",
	+ " var y = e.pageY - $(targ).offset().top;\n",
	+ "\n",
	+ " return {\"x\": x, \"y\": y};\n",
	+ "};\n",
	+ "\n",
	+ "/*\n",
	+ " * return a copy of an object with only non-object keys\n",
	+ " * we need this to avoid circular references\n",
	+ " * http://stackoverflow.com/a/24161582/3208463\n",
	+ " */\n",
	+ "function simpleKeys (original) {\n",
	+ " return Object.keys(original).reduce(function (obj, key) {\n",
	+ " if (typeof original[key] !== 'object')\n",
	+ " obj[key] = original[key]\n",
	+ " return obj;\n",
	+ " }, {});\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.mouse_event = function(event, name) {\n",
	+ " var canvas_pos = mpl.findpos(event)\n",
	+ "\n",
	+ " if (name === 'button_press')\n",
	+ " {\n",
	+ " this.canvas.focus();\n",
	+ " this.canvas_div.focus();\n",
	+ " }\n",
	+ "\n",
	+ " var x = canvas_pos.x * mpl.ratio;\n",
	+ " var y = canvas_pos.y * mpl.ratio;\n",
	+ "\n",
	+ " this.send_message(name, {x: x, y: y, button: event.button,\n",
	+ " step: event.step,\n",
	+ " guiEvent: simpleKeys(event)});\n",
	+ "\n",
	+ " /* This prevents the web browser from automatically changing to\n",
	+ " * the text insertion cursor when the button is pressed. We want\n",
	+ " * to control all of the cursor setting manually through the\n",
	+ " * 'cursor' event from matplotlib */\n",
	+ " event.preventDefault();\n",
	+ " return false;\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
	+ " // Handle any extra behaviour associated with a key event\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.key_event = function(event, name) {\n",
	+ "\n",
	+ " // Prevent repeat events\n",
	+ " if (name == 'key_press')\n",
	+ " {\n",
	+ " if (event.which === this._key)\n",
	+ " return;\n",
	+ " else\n",
	+ " this._key = event.which;\n",
	+ " }\n",
	+ " if (name == 'key_release')\n",
	+ " this._key = null;\n",
	+ "\n",
	+ " var value = '';\n",
	+ " if (event.ctrlKey && event.which != 17)\n",
	+ " value += \"ctrl+\";\n",
	+ " if (event.altKey && event.which != 18)\n",
	+ " value += \"alt+\";\n",
	+ " if (event.shiftKey && event.which != 16)\n",
	+ " value += \"shift+\";\n",
	+ "\n",
	+ " value += 'k';\n",
	+ " value += event.which.toString();\n",
	+ "\n",
	+ " this._key_event_extra(event, name);\n",
	+ "\n",
	+ " this.send_message(name, {key: value,\n",
	+ " guiEvent: simpleKeys(event)});\n",
	+ " return false;\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
	+ " if (name == 'download') {\n",
	+ " this.handle_save(this, null);\n",
	+ " } else {\n",
	+ " this.send_message(\"toolbar_button\", {name: name});\n",
	+ " }\n",
	+ "};\n",
	+ "\n",
	+ "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
	+ " this.message.textContent = tooltip;\n",
	+ "};\n",
	+ "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
	+ "\n",
	+ "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
	+ "\n",
	+ "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
	+ " // Create a \"websocket\"-like object which calls the given IPython comm\n",
	+ " // object with the appropriate methods. Currently this is a non binary\n",
	+ " // socket, so there is still some room for performance tuning.\n",
	+ " var ws = {};\n",
	+ "\n",
	+ " ws.close = function() {\n",
	+ " comm.close()\n",
	+ " };\n",
	+ " ws.send = function(m) {\n",
	+ " //console.log('sending', m);\n",
	+ " comm.send(m);\n",
	+ " };\n",
	+ " // Register the callback with on_msg.\n",
	+ " comm.on_msg(function(msg) {\n",
	+ " //console.log('receiving', msg['content']['data'], msg);\n",
	+ " // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
	+ " ws.onmessage(msg['content']['data'])\n",
	+ " });\n",
	+ " return ws;\n",
	+ "}\n",
	+ "\n",
	+ "mpl.mpl_figure_comm = function(comm, msg) {\n",
	+ " // This is the function which gets called when the mpl process\n",
	+ " // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
	+ "\n",
	+ " var id = msg.content.data.id;\n",
	+ " // Get hold of the div created by the display call when the Comm\n",
	+ " // socket was opened in Python.\n",
	+ " var element = $(\"#\" + id);\n",
	+ " var ws_proxy = comm_websocket_adapter(comm)\n",
	+ "\n",
	+ " function ondownload(figure, format) {\n",
	+ " window.open(figure.imageObj.src);\n",
	+ " }\n",
	+ "\n",
	+ " var fig = new mpl.figure(id, ws_proxy,\n",
	+ " ondownload,\n",
	+ " element.get(0));\n",
	+ "\n",
	+ " // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
	+ " // web socket which is closed, not our websocket->open comm proxy.\n",
	+ " ws_proxy.onopen();\n",
	+ "\n",
	+ " fig.parent_element = element.get(0);\n",
	+ " fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
	+ " if (!fig.cell_info) {\n",
	+ " console.error(\"Failed to find cell for figure\", id, fig);\n",
	+ " return;\n",
	+ " }\n",
	+ "\n",
	+ " var output_index = fig.cell_info[2]\n",
	+ " var cell = fig.cell_info[0];\n",
	+ "\n",
	+ "};\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
	+ " var width = fig.canvas.width/mpl.ratio\n",
	+ " fig.root.unbind('remove')\n",
	+ "\n",
	+ " // Update the output cell to use the data from the current canvas.\n",
	+ " fig.push_to_output();\n",
	+ " var dataURL = fig.canvas.toDataURL();\n",
	+ " // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
	+ " // the notebook keyboard shortcuts fail.\n",
	+ " IPython.keyboard_manager.enable()\n",
	+ " $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
	+ " fig.close_ws(fig, msg);\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.close_ws = function(fig, msg){\n",
	+ " fig.send_message('closing', msg);\n",
	+ " // fig.ws.close()\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
	+ " // Turn the data on the canvas into data in the output cell.\n",
	+ " var width = this.canvas.width/mpl.ratio\n",
	+ " var dataURL = this.canvas.toDataURL();\n",
	+ " this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.updated_canvas_event = function() {\n",
	+ " // Tell IPython that the notebook contents must change.\n",
	+ " IPython.notebook.set_dirty(true);\n",
	+ " this.send_message(\"ack\", {});\n",
	+ " var fig = this;\n",
	+ " // Wait a second, then push the new image to the DOM so\n",
	+ " // that it is saved nicely (might be nice to debounce this).\n",
	+ " setTimeout(function () { fig.push_to_output() }, 1000);\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._init_toolbar = function() {\n",
	+ " var fig = this;\n",
	+ "\n",
	+ " var nav_element = $('<div/>')\n",
	+ " nav_element.attr('style', 'width: 100%');\n",
	+ " this.root.append(nav_element);\n",
	+ "\n",
	+ " // Define a callback function for later on.\n",
	+ " function toolbar_event(event) {\n",
	+ " return fig.toolbar_button_onclick(event['data']);\n",
	+ " }\n",
	+ " function toolbar_mouse_event(event) {\n",
	+ " return fig.toolbar_button_onmouseover(event['data']);\n",
	+ " }\n",
	+ "\n",
	+ " for(var toolbar_ind in mpl.toolbar_items){\n",
	+ " var name = mpl.toolbar_items[toolbar_ind][0];\n",
	+ " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
	+ " var image = mpl.toolbar_items[toolbar_ind][2];\n",
	+ " var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
	+ "\n",
	+ " if (!name) { continue; };\n",
	+ "\n",
	+ " var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
	+ " button.click(method_name, toolbar_event);\n",
	+ " button.mouseover(tooltip, toolbar_mouse_event);\n",
	+ " nav_element.append(button);\n",
	+ " }\n",
	+ "\n",
	+ " // Add the status bar.\n",
	+ " var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
	+ " nav_element.append(status_bar);\n",
	+ " this.message = status_bar[0];\n",
	+ "\n",
	+ " // Add the close button to the window.\n",
	+ " var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
	+ " var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
	+ " button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
	+ " button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
	+ " buttongrp.append(button);\n",
	+ " var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
	+ " titlebar.prepend(buttongrp);\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._root_extra_style = function(el){\n",
	+ " var fig = this\n",
	+ " el.on(\"remove\", function(){\n",
	+ "\tfig.close_ws(fig, {});\n",
	+ " });\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._canvas_extra_style = function(el){\n",
	+ " // this is important to make the div 'focusable\n",
	+ " el.attr('tabindex', 0)\n",
	+ " // reach out to IPython and tell the keyboard manager to turn it's self\n",
	+ " // off when our div gets focus\n",
	+ "\n",
	+ " // location in version 3\n",
	+ " if (IPython.notebook.keyboard_manager) {\n",
	+ " IPython.notebook.keyboard_manager.register_events(el);\n",
	+ " }\n",
	+ " else {\n",
	+ " // location in version 2\n",
	+ " IPython.keyboard_manager.register_events(el);\n",
	+ " }\n",
	+ "\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
	+ " var manager = IPython.notebook.keyboard_manager;\n",
	+ " if (!manager)\n",
	+ " manager = IPython.keyboard_manager;\n",
	+ "\n",
	+ " // Check for shift+enter\n",
	+ " if (event.shiftKey && event.which == 13) {\n",
	+ " this.canvas_div.blur();\n",
	+ " event.shiftKey = false;\n",
	+ " // Send a \"J\" for go to next cell\n",
	+ " event.which = 74;\n",
	+ " event.keyCode = 74;\n",
	+ " manager.command_mode();\n",
	+ " manager.handle_keydown(event);\n",
	+ " }\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
	+ " fig.ondownload(fig, null);\n",
	+ "}\n",
	+ "\n",
	+ "\n",
	+ "mpl.find_output_cell = function(html_output) {\n",
	+ " // Return the cell and output element which can be found uniquely in the notebook.\n",
	+ " // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
	+ " // IPython event is triggered only after the cells have been serialised, which for\n",
	+ " // our purposes (turning an active figure into a static one), is too late.\n",
	+ " var cells = IPython.notebook.get_cells();\n",
	+ " var ncells = cells.length;\n",
	+ " for (var i=0; i<ncells; i++) {\n",
	+ " var cell = cells[i];\n",
	+ " if (cell.cell_type === 'code'){\n",
	+ " for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
	+ " var data = cell.output_area.outputs[j];\n",
	+ " if (data.data) {\n",
	+ " // IPython >= 3 moved mimebundle to data attribute of output\n",
	+ " data = data.data;\n",
	+ " }\n",
	+ " if (data['text/html'] == html_output) {\n",
	+ " return [cell, data, j];\n",
	+ " }\n",
	+ " }\n",
	+ " }\n",
	+ " }\n",
	+ "}\n",
	+ "\n",
	+ "// Register the function which deals with the matplotlib target/channel.\n",
	+ "// The kernel may be null if the page has been refreshed.\n",
	+ "if (IPython.notebook.kernel != null) {\n",
	+ " IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
	+ "}\n"
	+ ],
	+ "text/plain": [
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	+ "metadata": {},
	+ "output_type": "display_data"
	+ },
	+ {
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\" width=\"640\">"
	+ ],
	+ "text/plain": [
	+ "<IPython.core.display.HTML object>"
	+ ]
	+ },
	+ "metadata": {},
	+ "output_type": "display_data"
	+ }
	+ ],
	+ "source": [
	+ "plt.figure()\n",
	+ "ax = plt.axes()\n",
	+ "plt.title(\"Feature Importances for Random Forest (%d trees)\\n Validation MSE: %f\" %(n_est, mse(y_val,t_val)))\n",
	+ "plt.barh(range(n_features),importance[ind],\n",
	+ " color=\"r\", xerr=std[ind], alpha=0.4, align=\"center\")\n",
	+ "plt.yticks(range(n_features), feature_names[ind])\n",
	+ "plt.ylim([-1, len(ind)])\n",
	+ "plt.show()\n",
	+ "\n",
	+ "# pos : [left, bottom, width, height]\n",
	+ "ax.set_position( [0.23, 0.11, 0.7, 0.77] )\n",
	+ "plt.savefig('Feature_importances.png', dpi=300)"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 41,
	+ "metadata": {},
	+ "outputs": [
	+ {
	+ "data": {
	+ "application/javascript": [
	+ "/* Put everything inside the global mpl namespace */\n",
	+ "window.mpl = {};\n",
	+ "\n",
	+ "\n",
	+ "mpl.get_websocket_type = function() {\n",
	+ " if (typeof(WebSocket) !== 'undefined') {\n",
	+ " return WebSocket;\n",
	+ " } else if (typeof(MozWebSocket) !== 'undefined') {\n",
	+ " return MozWebSocket;\n",
	+ " } else {\n",
	+ " alert('Your browser does not have WebSocket support.' +\n",
	+ " 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
	+ " 'Firefox 4 and 5 are also supported but you ' +\n",
	+ " 'have to enable WebSockets in about:config.');\n",
	+ " };\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
	+ " this.id = figure_id;\n",
	+ "\n",
	+ " this.ws = websocket;\n",
	+ "\n",
	+ " this.supports_binary = (this.ws.binaryType != undefined);\n",
	+ "\n",
	+ " if (!this.supports_binary) {\n",
	+ " var warnings = document.getElementById(\"mpl-warnings\");\n",
	+ " if (warnings) {\n",
	+ " warnings.style.display = 'block';\n",
	+ " warnings.textContent = (\n",
	+ " \"This browser does not support binary websocket messages. \" +\n",
	+ " \"Performance may be slow.\");\n",
	+ " }\n",
	+ " }\n",
	+ "\n",
	+ " this.imageObj = new Image();\n",
	+ "\n",
	+ " this.context = undefined;\n",
	+ " this.message = undefined;\n",
	+ " this.canvas = undefined;\n",
	+ " this.rubberband_canvas = undefined;\n",
	+ " this.rubberband_context = undefined;\n",
	+ " this.format_dropdown = undefined;\n",
	+ "\n",
	+ " this.image_mode = 'full';\n",
	+ "\n",
	+ " this.root = $('<div/>');\n",
	+ " this._root_extra_style(this.root)\n",
	+ " this.root.attr('style', 'display: inline-block');\n",
	+ "\n",
	+ " $(parent_element).append(this.root);\n",
	+ "\n",
	+ " this._init_header(this);\n",
	+ " this._init_canvas(this);\n",
	+ " this._init_toolbar(this);\n",
	+ "\n",
	+ " var fig = this;\n",
	+ "\n",
	+ " this.waiting = false;\n",
	+ "\n",
	+ " this.ws.onopen = function () {\n",
	+ " fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
	+ " fig.send_message(\"send_image_mode\", {});\n",
	+ " if (mpl.ratio != 1) {\n",
	+ " fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
	+ " }\n",
	+ " fig.send_message(\"refresh\", {});\n",
	+ " }\n",
	+ "\n",
	+ " this.imageObj.onload = function() {\n",
	+ " if (fig.image_mode == 'full') {\n",
	+ " // Full images could contain transparency (where diff images\n",
	+ " // almost always do), so we need to clear the canvas so that\n",
	+ " // there is no ghosting.\n",
	+ " fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
	+ " }\n",
	+ " fig.context.drawImage(fig.imageObj, 0, 0);\n",
	+ " };\n",
	+ "\n",
	+ " this.imageObj.onunload = function() {\n",
	+ " fig.ws.close();\n",
	+ " }\n",
	+ "\n",
	+ " this.ws.onmessage = this._make_on_message_function(this);\n",
	+ "\n",
	+ " this.ondownload = ondownload;\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._init_header = function() {\n",
	+ " var titlebar = $(\n",
	+ " '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
	+ " 'ui-helper-clearfix\"/>');\n",
	+ " var titletext = $(\n",
	+ " '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
	+ " 'text-align: center; padding: 3px;\"/>');\n",
	+ " titlebar.append(titletext)\n",
	+ " this.root.append(titlebar);\n",
	+ " this.header = titletext[0];\n",
	+ "}\n",
	+ "\n",
	+ "\n",
	+ "\n",
	+ "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
	+ "\n",
	+ "}\n",
	+ "\n",
	+ "\n",
	+ "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
	+ "\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._init_canvas = function() {\n",
	+ " var fig = this;\n",
	+ "\n",
	+ " var canvas_div = $('<div/>');\n",
	+ "\n",
	+ " canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
	+ "\n",
	+ " function canvas_keyboard_event(event) {\n",
	+ " return fig.key_event(event, event['data']);\n",
	+ " }\n",
	+ "\n",
	+ " canvas_div.keydown('key_press', canvas_keyboard_event);\n",
	+ " canvas_div.keyup('key_release', canvas_keyboard_event);\n",
	+ " this.canvas_div = canvas_div\n",
	+ " this._canvas_extra_style(canvas_div)\n",
	+ " this.root.append(canvas_div);\n",
	+ "\n",
	+ " var canvas = $('<canvas/>');\n",
	+ " canvas.addClass('mpl-canvas');\n",
	+ " canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
	+ "\n",
	+ " this.canvas = canvas[0];\n",
	+ " this.context = canvas[0].getContext(\"2d\");\n",
	+ "\n",
	+ " var backingStore = this.context.backingStorePixelRatio \|\|\n",
	+ "\tthis.context.webkitBackingStorePixelRatio \|\|\n",
	+ "\tthis.context.mozBackingStorePixelRatio \|\|\n",
	+ "\tthis.context.msBackingStorePixelRatio \|\|\n",
	+ "\tthis.context.oBackingStorePixelRatio \|\|\n",
	+ "\tthis.context.backingStorePixelRatio \|\| 1;\n",
	+ "\n",
	+ " mpl.ratio = (window.devicePixelRatio \|\| 1) / backingStore;\n",
	+ "\n",
	+ " var rubberband = $('<canvas/>');\n",
	+ " rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
	+ "\n",
	+ " var pass_mouse_events = true;\n",
	+ "\n",
	+ " canvas_div.resizable({\n",
	+ " start: function(event, ui) {\n",
	+ " pass_mouse_events = false;\n",
	+ " },\n",
	+ " resize: function(event, ui) {\n",
	+ " fig.request_resize(ui.size.width, ui.size.height);\n",
	+ " },\n",
	+ " stop: function(event, ui) {\n",
	+ " pass_mouse_events = true;\n",
	+ " fig.request_resize(ui.size.width, ui.size.height);\n",
	+ " },\n",
	+ " });\n",
	+ "\n",
	+ " function mouse_event_fn(event) {\n",
	+ " if (pass_mouse_events)\n",
	+ " return fig.mouse_event(event, event['data']);\n",
	+ " }\n",
	+ "\n",
	+ " rubberband.mousedown('button_press', mouse_event_fn);\n",
	+ " rubberband.mouseup('button_release', mouse_event_fn);\n",
	+ " // Throttle sequential mouse events to 1 every 20ms.\n",
	+ " rubberband.mousemove('motion_notify', mouse_event_fn);\n",
	+ "\n",
	+ " rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
	+ " rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
	+ "\n",
	+ " canvas_div.on(\"wheel\", function (event) {\n",
	+ " event = event.originalEvent;\n",
	+ " event['data'] = 'scroll'\n",
	+ " if (event.deltaY < 0) {\n",
	+ " event.step = 1;\n",
	+ " } else {\n",
	+ " event.step = -1;\n",
	+ " }\n",
	+ " mouse_event_fn(event);\n",
	+ " });\n",
	+ "\n",
	+ " canvas_div.append(canvas);\n",
	+ " canvas_div.append(rubberband);\n",
	+ "\n",
	+ " this.rubberband = rubberband;\n",
	+ " this.rubberband_canvas = rubberband[0];\n",
	+ " this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
	+ " this.rubberband_context.strokeStyle = \"#000000\";\n",
	+ "\n",
	+ " this._resize_canvas = function(width, height) {\n",
	+ " // Keep the size of the canvas, canvas container, and rubber band\n",
	+ " // canvas in synch.\n",
	+ " canvas_div.css('width', width)\n",
	+ " canvas_div.css('height', height)\n",
	+ "\n",
	+ " canvas.attr('width', width * mpl.ratio);\n",
	+ " canvas.attr('height', height * mpl.ratio);\n",
	+ " canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
	+ "\n",
	+ " rubberband.attr('width', width);\n",
	+ " rubberband.attr('height', height);\n",
	+ " }\n",
	+ "\n",
	+ " // Set the figure to an initial 600x600px, this will subsequently be updated\n",
	+ " // upon first draw.\n",
	+ " this._resize_canvas(600, 600);\n",
	+ "\n",
	+ " // Disable right mouse context menu.\n",
	+ " $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
	+ " return false;\n",
	+ " });\n",
	+ "\n",
	+ " function set_focus () {\n",
	+ " canvas.focus();\n",
	+ " canvas_div.focus();\n",
	+ " }\n",
	+ "\n",
	+ " window.setTimeout(set_focus, 100);\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._init_toolbar = function() {\n",
	+ " var fig = this;\n",
	+ "\n",
	+ " var nav_element = $('<div/>')\n",
	+ " nav_element.attr('style', 'width: 100%');\n",
	+ " this.root.append(nav_element);\n",
	+ "\n",
	+ " // Define a callback function for later on.\n",
	+ " function toolbar_event(event) {\n",
	+ " return fig.toolbar_button_onclick(event['data']);\n",
	+ " }\n",
	+ " function toolbar_mouse_event(event) {\n",
	+ " return fig.toolbar_button_onmouseover(event['data']);\n",
	+ " }\n",
	+ "\n",
	+ " for(var toolbar_ind in mpl.toolbar_items) {\n",
	+ " var name = mpl.toolbar_items[toolbar_ind][0];\n",
	+ " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
	+ " var image = mpl.toolbar_items[toolbar_ind][2];\n",
	+ " var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
	+ "\n",
	+ " if (!name) {\n",
	+ " // put a spacer in here.\n",
	+ " continue;\n",
	+ " }\n",
	+ " var button = $('<button/>');\n",
	+ " button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
	+ " 'ui-button-icon-only');\n",
	+ " button.attr('role', 'button');\n",
	+ " button.attr('aria-disabled', 'false');\n",
	+ " button.click(method_name, toolbar_event);\n",
	+ " button.mouseover(tooltip, toolbar_mouse_event);\n",
	+ "\n",
	+ " var icon_img = $('<span/>');\n",
	+ " icon_img.addClass('ui-button-icon-primary ui-icon');\n",
	+ " icon_img.addClass(image);\n",
	+ " icon_img.addClass('ui-corner-all');\n",
	+ "\n",
	+ " var tooltip_span = $('<span/>');\n",
	+ " tooltip_span.addClass('ui-button-text');\n",
	+ " tooltip_span.html(tooltip);\n",
	+ "\n",
	+ " button.append(icon_img);\n",
	+ " button.append(tooltip_span);\n",
	+ "\n",
	+ " nav_element.append(button);\n",
	+ " }\n",
	+ "\n",
	+ " var fmt_picker_span = $('<span/>');\n",
	+ "\n",
	+ " var fmt_picker = $('<select/>');\n",
	+ " fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
	+ " fmt_picker_span.append(fmt_picker);\n",
	+ " nav_element.append(fmt_picker_span);\n",
	+ " this.format_dropdown = fmt_picker[0];\n",
	+ "\n",
	+ " for (var ind in mpl.extensions) {\n",
	+ " var fmt = mpl.extensions[ind];\n",
	+ " var option = $(\n",
	+ " '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
	+ " fmt_picker.append(option)\n",
	+ " }\n",
	+ "\n",
	+ " // Add hover states to the ui-buttons\n",
	+ " $( \".ui-button\" ).hover(\n",
	+ " function() { $(this).addClass(\"ui-state-hover\");},\n",
	+ " function() { $(this).removeClass(\"ui-state-hover\");}\n",
	+ " );\n",
	+ "\n",
	+ " var status_bar = $('<span class=\"mpl-message\"/>');\n",
	+ " nav_element.append(status_bar);\n",
	+ " this.message = status_bar[0];\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
	+ " // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
	+ " // which will in turn request a refresh of the image.\n",
	+ " this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.send_message = function(type, properties) {\n",
	+ " properties['type'] = type;\n",
	+ " properties['figure_id'] = this.id;\n",
	+ " this.ws.send(JSON.stringify(properties));\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.send_draw_message = function() {\n",
	+ " if (!this.waiting) {\n",
	+ " this.waiting = true;\n",
	+ " this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
	+ " }\n",
	+ "}\n",
	+ "\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
	+ " var format_dropdown = fig.format_dropdown;\n",
	+ " var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
	+ " fig.ondownload(fig, format);\n",
	+ "}\n",
	+ "\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
	+ " var size = msg['size'];\n",
	+ " if (size[0] != fig.canvas.width \|\| size[1] != fig.canvas.height) {\n",
	+ " fig._resize_canvas(size[0], size[1]);\n",
	+ " fig.send_message(\"refresh\", {});\n",
	+ " };\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
	+ " var x0 = msg['x0'] / mpl.ratio;\n",
	+ " var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
	+ " var x1 = msg['x1'] / mpl.ratio;\n",
	+ " var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
	+ " x0 = Math.floor(x0) + 0.5;\n",
	+ " y0 = Math.floor(y0) + 0.5;\n",
	+ " x1 = Math.floor(x1) + 0.5;\n",
	+ " y1 = Math.floor(y1) + 0.5;\n",
	+ " var min_x = Math.min(x0, x1);\n",
	+ " var min_y = Math.min(y0, y1);\n",
	+ " var width = Math.abs(x1 - x0);\n",
	+ " var height = Math.abs(y1 - y0);\n",
	+ "\n",
	+ " fig.rubberband_context.clearRect(\n",
	+ " 0, 0, fig.canvas.width, fig.canvas.height);\n",
	+ "\n",
	+ " fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
	+ " // Updates the figure title.\n",
	+ " fig.header.textContent = msg['label'];\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
	+ " var cursor = msg['cursor'];\n",
	+ " switch(cursor)\n",
	+ " {\n",
	+ " case 0:\n",
	+ " cursor = 'pointer';\n",
	+ " break;\n",
	+ " case 1:\n",
	+ " cursor = 'default';\n",
	+ " break;\n",
	+ " case 2:\n",
	+ " cursor = 'crosshair';\n",
	+ " break;\n",
	+ " case 3:\n",
	+ " cursor = 'move';\n",
	+ " break;\n",
	+ " }\n",
	+ " fig.rubberband_canvas.style.cursor = cursor;\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
	+ " fig.message.textContent = msg['message'];\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
	+ " // Request the server to send over a new figure.\n",
	+ " fig.send_draw_message();\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
	+ " fig.image_mode = msg['mode'];\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.updated_canvas_event = function() {\n",
	+ " // Called whenever the canvas gets updated.\n",
	+ " this.send_message(\"ack\", {});\n",
	+ "}\n",
	+ "\n",
	+ "// A function to construct a web socket function for onmessage handling.\n",
	+ "// Called in the figure constructor.\n",
	+ "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
	+ " return function socket_on_message(evt) {\n",
	+ " if (evt.data instanceof Blob) {\n",
	+ " /* FIXME: We get \"Resource interpreted as Image but\n",
	+ " * transferred with MIME type text/plain:\" errors on\n",
	+ " * Chrome. But how to set the MIME type? It doesn't seem\n",
	+ " * to be part of the websocket stream */\n",
	+ " evt.data.type = \"image/png\";\n",
	+ "\n",
	+ " /* Free the memory for the previous frames */\n",
	+ " if (fig.imageObj.src) {\n",
	+ " (window.URL \|\| window.webkitURL).revokeObjectURL(\n",
	+ " fig.imageObj.src);\n",
	+ " }\n",
	+ "\n",
	+ " fig.imageObj.src = (window.URL \|\| window.webkitURL).createObjectURL(\n",
	+ " evt.data);\n",
	+ " fig.updated_canvas_event();\n",
	+ " fig.waiting = false;\n",
	+ " return;\n",
	+ " }\n",
	+ " else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
	+ " fig.imageObj.src = evt.data;\n",
	+ " fig.updated_canvas_event();\n",
	+ " fig.waiting = false;\n",
	+ " return;\n",
	+ " }\n",
	+ "\n",
	+ " var msg = JSON.parse(evt.data);\n",
	+ " var msg_type = msg['type'];\n",
	+ "\n",
	+ " // Call the \"handle_{type}\" callback, which takes\n",
	+ " // the figure and JSON message as its only arguments.\n",
	+ " try {\n",
	+ " var callback = fig[\"handle_\" + msg_type];\n",
	+ " } catch (e) {\n",
	+ " console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
	+ " return;\n",
	+ " }\n",
	+ "\n",
	+ " if (callback) {\n",
	+ " try {\n",
	+ " // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
	+ " callback(fig, msg);\n",
	+ " } catch (e) {\n",
	+ " console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
	+ " }\n",
	+ " }\n",
	+ " };\n",
	+ "}\n",
	+ "\n",
	+ "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
	+ "mpl.findpos = function(e) {\n",
	+ " //this section is from http://www.quirksmode.org/js/events_properties.html\n",
	+ " var targ;\n",
	+ " if (!e)\n",
	+ " e = window.event;\n",
	+ " if (e.target)\n",
	+ " targ = e.target;\n",
	+ " else if (e.srcElement)\n",
	+ " targ = e.srcElement;\n",
	+ " if (targ.nodeType == 3) // defeat Safari bug\n",
	+ " targ = targ.parentNode;\n",
	+ "\n",
	+ " // jQuery normalizes the pageX and pageY\n",
	+ " // pageX,Y are the mouse positions relative to the document\n",
	+ " // offset() returns the position of the element relative to the document\n",
	+ " var x = e.pageX - $(targ).offset().left;\n",
	+ " var y = e.pageY - $(targ).offset().top;\n",
	+ "\n",
	+ " return {\"x\": x, \"y\": y};\n",
	+ "};\n",
	+ "\n",
	+ "/*\n",
	+ " * return a copy of an object with only non-object keys\n",
	+ " * we need this to avoid circular references\n",
	+ " * http://stackoverflow.com/a/24161582/3208463\n",
	+ " */\n",
	+ "function simpleKeys (original) {\n",
	+ " return Object.keys(original).reduce(function (obj, key) {\n",
	+ " if (typeof original[key] !== 'object')\n",
	+ " obj[key] = original[key]\n",
	+ " return obj;\n",
	+ " }, {});\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.mouse_event = function(event, name) {\n",
	+ " var canvas_pos = mpl.findpos(event)\n",
	+ "\n",
	+ " if (name === 'button_press')\n",
	+ " {\n",
	+ " this.canvas.focus();\n",
	+ " this.canvas_div.focus();\n",
	+ " }\n",
	+ "\n",
	+ " var x = canvas_pos.x * mpl.ratio;\n",
	+ " var y = canvas_pos.y * mpl.ratio;\n",
	+ "\n",
	+ " this.send_message(name, {x: x, y: y, button: event.button,\n",
	+ " step: event.step,\n",
	+ " guiEvent: simpleKeys(event)});\n",
	+ "\n",
	+ " /* This prevents the web browser from automatically changing to\n",
	+ " * the text insertion cursor when the button is pressed. We want\n",
	+ " * to control all of the cursor setting manually through the\n",
	+ " * 'cursor' event from matplotlib */\n",
	+ " event.preventDefault();\n",
	+ " return false;\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
	+ " // Handle any extra behaviour associated with a key event\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.key_event = function(event, name) {\n",
	+ "\n",
	+ " // Prevent repeat events\n",
	+ " if (name == 'key_press')\n",
	+ " {\n",
	+ " if (event.which === this._key)\n",
	+ " return;\n",
	+ " else\n",
	+ " this._key = event.which;\n",
	+ " }\n",
	+ " if (name == 'key_release')\n",
	+ " this._key = null;\n",
	+ "\n",
	+ " var value = '';\n",
	+ " if (event.ctrlKey && event.which != 17)\n",
	+ " value += \"ctrl+\";\n",
	+ " if (event.altKey && event.which != 18)\n",
	+ " value += \"alt+\";\n",
	+ " if (event.shiftKey && event.which != 16)\n",
	+ " value += \"shift+\";\n",
	+ "\n",
	+ " value += 'k';\n",
	+ " value += event.which.toString();\n",
	+ "\n",
	+ " this._key_event_extra(event, name);\n",
	+ "\n",
	+ " this.send_message(name, {key: value,\n",
	+ " guiEvent: simpleKeys(event)});\n",
	+ " return false;\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
	+ " if (name == 'download') {\n",
	+ " this.handle_save(this, null);\n",
	+ " } else {\n",
	+ " this.send_message(\"toolbar_button\", {name: name});\n",
	+ " }\n",
	+ "};\n",
	+ "\n",
	+ "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
	+ " this.message.textContent = tooltip;\n",
	+ "};\n",
	+ "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
	+ "\n",
	+ "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
	+ "\n",
	+ "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
	+ " // Create a \"websocket\"-like object which calls the given IPython comm\n",
	+ " // object with the appropriate methods. Currently this is a non binary\n",
	+ " // socket, so there is still some room for performance tuning.\n",
	+ " var ws = {};\n",
	+ "\n",
	+ " ws.close = function() {\n",
	+ " comm.close()\n",
	+ " };\n",
	+ " ws.send = function(m) {\n",
	+ " //console.log('sending', m);\n",
	+ " comm.send(m);\n",
	+ " };\n",
	+ " // Register the callback with on_msg.\n",
	+ " comm.on_msg(function(msg) {\n",
	+ " //console.log('receiving', msg['content']['data'], msg);\n",
	+ " // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
	+ " ws.onmessage(msg['content']['data'])\n",
	+ " });\n",
	+ " return ws;\n",
	+ "}\n",
	+ "\n",
	+ "mpl.mpl_figure_comm = function(comm, msg) {\n",
	+ " // This is the function which gets called when the mpl process\n",
	+ " // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
	+ "\n",
	+ " var id = msg.content.data.id;\n",
	+ " // Get hold of the div created by the display call when the Comm\n",
	+ " // socket was opened in Python.\n",
	+ " var element = $(\"#\" + id);\n",
	+ " var ws_proxy = comm_websocket_adapter(comm)\n",
	+ "\n",
	+ " function ondownload(figure, format) {\n",
	+ " window.open(figure.imageObj.src);\n",
	+ " }\n",
	+ "\n",
	+ " var fig = new mpl.figure(id, ws_proxy,\n",
	+ " ondownload,\n",
	+ " element.get(0));\n",
	+ "\n",
	+ " // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
	+ " // web socket which is closed, not our websocket->open comm proxy.\n",
	+ " ws_proxy.onopen();\n",
	+ "\n",
	+ " fig.parent_element = element.get(0);\n",
	+ " fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
	+ " if (!fig.cell_info) {\n",
	+ " console.error(\"Failed to find cell for figure\", id, fig);\n",
	+ " return;\n",
	+ " }\n",
	+ "\n",
	+ " var output_index = fig.cell_info[2]\n",
	+ " var cell = fig.cell_info[0];\n",
	+ "\n",
	+ "};\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
	+ " var width = fig.canvas.width/mpl.ratio\n",
	+ " fig.root.unbind('remove')\n",
	+ "\n",
	+ " // Update the output cell to use the data from the current canvas.\n",
	+ " fig.push_to_output();\n",
	+ " var dataURL = fig.canvas.toDataURL();\n",
	+ " // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
	+ " // the notebook keyboard shortcuts fail.\n",
	+ " IPython.keyboard_manager.enable()\n",
	+ " $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
	+ " fig.close_ws(fig, msg);\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.close_ws = function(fig, msg){\n",
	+ " fig.send_message('closing', msg);\n",
	+ " // fig.ws.close()\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
	+ " // Turn the data on the canvas into data in the output cell.\n",
	+ " var width = this.canvas.width/mpl.ratio\n",
	+ " var dataURL = this.canvas.toDataURL();\n",
	+ " this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.updated_canvas_event = function() {\n",
	+ " // Tell IPython that the notebook contents must change.\n",
	+ " IPython.notebook.set_dirty(true);\n",
	+ " this.send_message(\"ack\", {});\n",
	+ " var fig = this;\n",
	+ " // Wait a second, then push the new image to the DOM so\n",
	+ " // that it is saved nicely (might be nice to debounce this).\n",
	+ " setTimeout(function () { fig.push_to_output() }, 1000);\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._init_toolbar = function() {\n",
	+ " var fig = this;\n",
	+ "\n",
	+ " var nav_element = $('<div/>')\n",
	+ " nav_element.attr('style', 'width: 100%');\n",
	+ " this.root.append(nav_element);\n",
	+ "\n",
	+ " // Define a callback function for later on.\n",
	+ " function toolbar_event(event) {\n",
	+ " return fig.toolbar_button_onclick(event['data']);\n",
	+ " }\n",
	+ " function toolbar_mouse_event(event) {\n",
	+ " return fig.toolbar_button_onmouseover(event['data']);\n",
	+ " }\n",
	+ "\n",
	+ " for(var toolbar_ind in mpl.toolbar_items){\n",
	+ " var name = mpl.toolbar_items[toolbar_ind][0];\n",
	+ " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
	+ " var image = mpl.toolbar_items[toolbar_ind][2];\n",
	+ " var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
	+ "\n",
	+ " if (!name) { continue; };\n",
	+ "\n",
	+ " var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
	+ " button.click(method_name, toolbar_event);\n",
	+ " button.mouseover(tooltip, toolbar_mouse_event);\n",
	+ " nav_element.append(button);\n",
	+ " }\n",
	+ "\n",
	+ " // Add the status bar.\n",
	+ " var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
	+ " nav_element.append(status_bar);\n",
	+ " this.message = status_bar[0];\n",
	+ "\n",
	+ " // Add the close button to the window.\n",
	+ " var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
	+ " var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
	+ " button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
	+ " button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
	+ " buttongrp.append(button);\n",
	+ " var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
	+ " titlebar.prepend(buttongrp);\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._root_extra_style = function(el){\n",
	+ " var fig = this\n",
	+ " el.on(\"remove\", function(){\n",
	+ "\tfig.close_ws(fig, {});\n",
	+ " });\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._canvas_extra_style = function(el){\n",
	+ " // this is important to make the div 'focusable\n",
	+ " el.attr('tabindex', 0)\n",
	+ " // reach out to IPython and tell the keyboard manager to turn it's self\n",
	+ " // off when our div gets focus\n",
	+ "\n",
	+ " // location in version 3\n",
	+ " if (IPython.notebook.keyboard_manager) {\n",
	+ " IPython.notebook.keyboard_manager.register_events(el);\n",
	+ " }\n",
	+ " else {\n",
	+ " // location in version 2\n",
	+ " IPython.keyboard_manager.register_events(el);\n",
	+ " }\n",
	+ "\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
	+ " var manager = IPython.notebook.keyboard_manager;\n",
	+ " if (!manager)\n",
	+ " manager = IPython.keyboard_manager;\n",
	+ "\n",
	+ " // Check for shift+enter\n",
	+ " if (event.shiftKey && event.which == 13) {\n",
	+ " this.canvas_div.blur();\n",
	+ " event.shiftKey = false;\n",
	+ " // Send a \"J\" for go to next cell\n",
	+ " event.which = 74;\n",
	+ " event.keyCode = 74;\n",
	+ " manager.command_mode();\n",
	+ " manager.handle_keydown(event);\n",
	+ " }\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
	+ " fig.ondownload(fig, null);\n",
	+ "}\n",
	+ "\n",
	+ "\n",
	+ "mpl.find_output_cell = function(html_output) {\n",
	+ " // Return the cell and output element which can be found uniquely in the notebook.\n",
	+ " // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
	+ " // IPython event is triggered only after the cells have been serialised, which for\n",
	+ " // our purposes (turning an active figure into a static one), is too late.\n",
	+ " var cells = IPython.notebook.get_cells();\n",
	+ " var ncells = cells.length;\n",
	+ " for (var i=0; i<ncells; i++) {\n",
	+ " var cell = cells[i];\n",
	+ " if (cell.cell_type === 'code'){\n",
	+ " for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
	+ " var data = cell.output_area.outputs[j];\n",
	+ " if (data.data) {\n",
	+ " // IPython >= 3 moved mimebundle to data attribute of output\n",
	+ " data = data.data;\n",
	+ " }\n",
	+ " if (data['text/html'] == html_output) {\n",
	+ " return [cell, data, j];\n",
	+ " }\n",
	+ " }\n",
	+ " }\n",
	+ " }\n",
	+ "}\n",
	+ "\n",
	+ "// Register the function which deals with the matplotlib target/channel.\n",
	+ "// The kernel may be null if the page has been refreshed.\n",
	+ "if (IPython.notebook.kernel != null) {\n",
	+ " IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
	+ "}\n"
	+ ],
	+ "text/plain": [
	+ "<IPython.core.display.Javascript object>"
	+ ]
	+ },
	+ "metadata": {},
	+ "output_type": "display_data"
	+ },
	+ {
	+ "data": {
	+ "text/html": [
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\" width=\"640\">"
	+ ],
	+ "text/plain": [
	+ "<IPython.core.display.HTML object>"
	+ ]
	+ },
	+ "metadata": {},
	+ "output_type": "display_data"
	+ }
	+ ],
	+ "source": [
	+ "# raw data\n",
	+ "plt.figure()\n",
	+ "bins=25\n",
	+ "plt.hist(av_area_ratio_ftr, range=(0,1), bins=bins, facecolor='w',edgecolor='r', alpha=0.5, density=True, label = 'Approx. ratio')\n",
	+ "plt.hist(learning_table.available_area_ratio, range=(0,1), bins=bins, density=True, facecolor='g', alpha=0.2, edgecolor='g', label = '\"Ground truth\"')\n",
	+ "plt.hist(y_val, bins=bins, range=(0,1), density=True, facecolor='b', alpha=0.2, edgecolor='b', label = 'RF - validation')\n",
	+ "plt.legend()\n",
	+ "plt.title('Distribution of available area ratio')\n",
	+ "plt.show()\n",
	+ "plt.savefig('availabe_area_hist.png', dpi=300)"
	+ ]
	+ },
	+ {
	+ "cell_type": "markdown",
	+ "metadata": {},
	+ "source": [
	+ "### Cross-validation (alternative to fitting and prediction):"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 163,
	+ "metadata": {},
	+ "outputs": [],
	+ "source": [
	+ "x_crossval = learning_table.loc[ ind , feature_names ]\n",
	+ "t_crossval = learning_table.loc[ ind , label_name ]"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 164,
	+ "metadata": {},
	+ "outputs": [
	+ {
	+ "name": "stdout",
	+ "output_type": "stream",
	+ "text": [
	+ "CPU time: 1.59 seconds\n",
	+ "Wall clock time: 1390.94 seconds\n"
	+ ]
	+ }
	+ ],
	+ "source": [
	+ "tt = util.Timer()\n",
	+ "RF_crossval = RandomForestRegressor(n_estimators = n_est, n_jobs = -1)\n",
	+ " \n",
	+ "y_crossval = cross_val_predict(RF_crossval, x_crossval, t_crossval, cv=5, n_jobs=-1)\n",
	+ "mse_crossval = mse(y_crossval, t_crossval)\n",
	+ "\n",
	+ "tt.stop()"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 165,
	+ "metadata": {},
	+ "outputs": [
	+ {
	+ "data": {
	+ "text/plain": [
	+ "0.0190154455691502"
	+ ]
	+ },
	+ "execution_count": 165,
	+ "metadata": {},
	+ "output_type": "execute_result"
	+ }
	+ ],
	+ "source": [
	+ "mse_crossval"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 166,
	+ "metadata": {},
	+ "outputs": [
	+ {
	+ "name": "stdout",
	+ "output_type": "stream",
	+ "text": [
	+ "Validation MSE (shading): 0.031725\n",
	+ "Validation MSE (panelling): 0.006306\n",
	+ "Validation MSE (combined): 0.011516\n"
	+ ]
	+ }
	+ ],
	+ "source": [
	+ "# FOR MULTIPLE TARGETS (shaded_area_ratio_tgt, panelled_area_ratio_tgt)\n",
	+ "print( 'Validation MSE (shading): %f' %mse(y_crossval[:,0],t_crossval.iloc[:,0]))\n",
	+ "print( 'Validation MSE (panelling): %f' %mse(y_crossval[:,1],t_crossval.iloc[:,1]))\n",
	+ "print( 'Validation MSE (combined): %f' %mse((1 - y_crossval[:,0]) * y_crossval[:,1],( 1 - t_crossval.iloc[:,0]) * t_crossval.iloc[:,1]))"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 167,
	+ "metadata": {},
	+ "outputs": [
	+ {
	+ "name": "stdout",
	+ "output_type": "stream",
	+ "text": [
	+ "Validation RMSE (shading): 0.178115\n",
	+ "Validation RMSE (panelling): 0.079411\n",
	+ "Validation RMSE (combined): 0.107312\n"
	+ ]
	+ }
	+ ],
	+ "source": [
	+ "# FOR MULTIPLE TARGETS (shaded_area_ratio_tgt, panelled_area_ratio_tgt)\n",
	+ "print( 'Validation RMSE (shading): %f' %np.sqrt(mse(y_crossval[:,0],t_crossval.iloc[:,0])))\n",
	+ "print( 'Validation RMSE (panelling): %f' %np.sqrt(mse(y_crossval[:,1],t_crossval.iloc[:,1])))\n",
	+ "print( 'Validation RMSE (combined): %f' %np.sqrt(mse((1 - y_crossval[:,0]) * y_crossval[:,1],( 1 - t_crossval.iloc[:,0]) * t_crossval.iloc[:,1])))"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 168,
	+ "metadata": {},
	+ "outputs": [
	+ {
	+ "name": "stdout",
	+ "output_type": "stream",
	+ "text": [
	+ "Validation MAE (shading): 0.118970\n",
	+ "Validation MAE (panelling): 0.046132\n",
	+ "Validation MAE (combined): 0.077618\n"
	+ ]
	+ }
	+ ],
	+ "source": [
	+ "# FOR MULTIPLE TARGETS (shaded_area_ratio_tgt, panelled_area_ratio_tgt)\n",
	+ "print( 'Validation MAE (shading): %f' %mae(y_crossval[:,0],t_crossval.iloc[:,0]))\n",
	+ "print( 'Validation MAE (panelling): %f' %mae(y_crossval[:,1],t_crossval.iloc[:,1]))\n",
	+ "print( 'Validation MAE (combined): %f' %mae((1 - y_crossval[:,0]) * y_crossval[:,1],( 1 - t_crossval.iloc[:,0]) * t_crossval.iloc[:,1]))"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 169,
	+ "metadata": {},
	+ "outputs": [
	+ {
	+ "name": "stdout",
	+ "output_type": "stream",
	+ "text": [
	+ "Validation MBE (shading): 0.006775\n",
	+ "Validation MBE (panelling): -0.002807\n",
	+ "Validation MBE (combined): -0.005909\n"
	+ ]
	+ }
	+ ],
	+ "source": [
	+ "# FOR MULTIPLE TARGETS (shaded_area_ratio_tgt, panelled_area_ratio_tgt)\n",
	+ "print( 'Validation MBE (shading): %f' %np.mean(y_crossval[:,0]-t_crossval.iloc[:,0]))\n",
	+ "print( 'Validation MBE (panelling): %f' %np.mean(y_crossval[:,1]-t_crossval.iloc[:,1]))\n",
	+ "print( 'Validation MBE (combined): %f' %np.mean((1 - y_crossval[:,0]) * y_crossval[:,1]-( 1 - t_crossval.iloc[:,0]) * t_crossval.iloc[:,1]))"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": null,
	+ "metadata": {},
	+ "outputs": [],
	+ "source": []
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": null,
	+ "metadata": {},
	+ "outputs": [],
	+ "source": []
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": null,
	+ "metadata": {},
	+ "outputs": [],
	+ "source": []
	+ },
	+ {
	+ "cell_type": "markdown",
	+ "metadata": {},
	+ "source": [
	+ "### Validation with leaving features out"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 71,
	+ "metadata": {},
	+ "outputs": [],
	+ "source": [
	+ "shuffle = np.random.permutation(len(learning_table))\n",
	+ "shuffled_table = learning_table.loc[ shuffle , :]"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 79,
	+ "metadata": {},
	+ "outputs": [],
	+ "source": [
	+ "fixed_features = ['fully_shaded_ratio_2m', 'NEIGUNG', 'perim_ratio', 'AUSRICHTUN']\n",
	+ "maybe_features = ['GAREA', 'SHAPE_Leng','GBAUP', 'GASTW'] # TAKEN OUT FLAECHE (lowest marginal improvement)\n",
	+ "test_features = np.hstack([fixed_features, maybe_features])\n",
	+ "\n",
	+ "T = shuffled_table.loc[ : , label_name ]"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 80,
	+ "metadata": {
	+ "scrolled": true
	+ },
	+ "outputs": [
	+ {
	+ "name": "stdout",
	+ "output_type": "stream",
	+ "text": [
	+ "Leaving out GAREA: 0.026506\n",
	+ "Leaving out SHAPE_Leng: 0.026597\n",
	+ "Leaving out GBAUP: 0.026666\n",
	+ "Leaving out GASTW: 0.026386\n"
	+ ]
	+ }
	+ ],
	+ "source": [
	+ "MSE_leaveout = np.zeros(len(maybe_features))\n",
	+ "n_est = 500\n",
	+ "tree_depth = 100\n",
	+ "\n",
	+ "for drop_feature in maybe_features:\n",
	+ " # leave one test feature out\n",
	+ " X = shuffled_table.loc[ : , test_features ].drop(drop_feature, axis=1)\n",
	+ " \n",
	+ " RF_test = RandomForestRegressor(n_jobs = -1) # n_estimators = n_est, max_depth = tree_depth, \n",
	+ " Y = cross_val_predict(RF_test, X, T, cv=5, n_jobs=-1)\n",
	+ " \n",
	+ " print(\"Leaving out %s: %f\" %(drop_feature, mse(Y, T)))\n",
	+ " "
	+ ]
	+ },
	+ {
	+ "cell_type": "markdown",
	+ "metadata": {},
	+ "source": [
	+ "### Cross-validation and feature selection"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 94,
	+ "metadata": {},
	+ "outputs": [],
	+ "source": [
	+ "n_crossval = 10\n",
	+ "all_features_sorted = np.asarray(all_features)[ind]\n",
	+ "MSE = np.zeros(n_features)"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": null,
	+ "metadata": {},
	+ "outputs": [],
	+ "source": [
	+ "RF_test = RandomForestRegressor(n_estimators = n_est, max_depth = tree_depth, n_jobs = -1)\n",
	+ "Y = cross_val_predict(RF_test, X1, T, cv=5, n_jobs=-1)\n",
	+ "print(mse(Y, T))"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 95,
	+ "metadata": {
	+ "scrolled": true
	+ },
	+ "outputs": [
	+ {
	+ "name": "stdout",
	+ "output_type": "stream",
	+ "text": [
	+ "Iteration 1 out of 14\n",
	+ "CPU time: 0.37 seconds\n",
	+ "Wall clock time: 134.33 seconds\n",
	+ "Iteration 2 out of 14\n",
	+ "CPU time: 0.43 seconds\n",
	+ "Wall clock time: 142.81 seconds\n",
	+ "Iteration 3 out of 14\n",
	+ "CPU time: 0.42 seconds\n",
	+ "Wall clock time: 128.43 seconds\n",
	+ "Iteration 4 out of 14\n",
	+ "CPU time: 0.36 seconds\n",
	+ "Wall clock time: 115.09 seconds\n",
	+ "Iteration 5 out of 14\n",
	+ "CPU time: 0.34 seconds\n",
	+ "Wall clock time: 110.06 seconds\n",
	+ "Iteration 6 out of 14\n",
	+ "CPU time: 0.25 seconds\n",
	+ "Wall clock time: 104.81 seconds\n",
	+ "Iteration 7 out of 14\n",
	+ "CPU time: 0.42 seconds\n",
	+ "Wall clock time: 95.86 seconds\n",
	+ "Iteration 8 out of 14\n",
	+ "CPU time: 0.23 seconds\n",
	+ "Wall clock time: 88.49 seconds\n",
	+ "Iteration 9 out of 14\n",
	+ "CPU time: 0.20 seconds\n",
	+ "Wall clock time: 72.49 seconds\n",
	+ "Iteration 10 out of 14\n",
	+ "CPU time: 0.19 seconds\n",
	+ "Wall clock time: 56.79 seconds\n",
	+ "Iteration 11 out of 14\n",
	+ "CPU time: 0.18 seconds\n",
	+ "Wall clock time: 42.77 seconds\n",
	+ "Iteration 12 out of 14\n",
	+ "CPU time: 0.17 seconds\n",
	+ "Wall clock time: 36.34 seconds\n",
	+ "Iteration 13 out of 14\n",
	+ "CPU time: 0.15 seconds\n",
	+ "Wall clock time: 10.90 seconds\n",
	+ "Iteration 14 out of 14\n",
	+ "CPU time: 0.15 seconds\n",
	+ "Wall clock time: 5.84 seconds\n"
	+ ]
	+ }
	+ ],
	+ "source": [
	+ "shuffle = np.random.permutation(len(learning_table))\n",
	+ "shuffled_table = learning_table.loc[ shuffle , :]\n",
	+ "\n",
	+ "tt = util.Timer()\n",
	+ "for i in range(n_features):\n",
	+ " \n",
	+ " print('Iteration %d out of %d' %(i+1, n_features))\n",
	+ "\n",
	+ " X = shuffled_table.loc[ : , all_features_sorted[ i : ] ]\n",
	+ " t_cv = shuffled_table.loc[ : , label_name ]\n",
	+ "\n",
	+ " RF_CV = RandomForestRegressor(n_estimators = n_est, max_depth = tree_depth, n_jobs = -1)\n",
	+ " y_CV = cross_val_predict(RF_CV, X, t_cv, cv=5, n_jobs=-1)\n",
	+ "\n",
	+ " MSE[i] = mse(y_CV, t_cv)\n",
	+ " \n",
	+ " tt.restart()"
	+ ]
	+ },
	+ {
	+ "cell_type": "markdown",
	+ "metadata": {},
	+ "source": [
	+ "### Visualisation"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 96,
	+ "metadata": {
	+ "scrolled": false
	+ },
	+ "outputs": [
	+ {
	+ "data": {
	+ "application/javascript": [
	+ "/* Put everything inside the global mpl namespace */\n",
	+ "window.mpl = {};\n",
	+ "\n",
	+ "\n",
	+ "mpl.get_websocket_type = function() {\n",
	+ " if (typeof(WebSocket) !== 'undefined') {\n",
	+ " return WebSocket;\n",
	+ " } else if (typeof(MozWebSocket) !== 'undefined') {\n",
	+ " return MozWebSocket;\n",
	+ " } else {\n",
	+ " alert('Your browser does not have WebSocket support.' +\n",
	+ " 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
	+ " 'Firefox 4 and 5 are also supported but you ' +\n",
	+ " 'have to enable WebSockets in about:config.');\n",
	+ " };\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
	+ " this.id = figure_id;\n",
	+ "\n",
	+ " this.ws = websocket;\n",
	+ "\n",
	+ " this.supports_binary = (this.ws.binaryType != undefined);\n",
	+ "\n",
	+ " if (!this.supports_binary) {\n",
	+ " var warnings = document.getElementById(\"mpl-warnings\");\n",
	+ " if (warnings) {\n",
	+ " warnings.style.display = 'block';\n",
	+ " warnings.textContent = (\n",
	+ " \"This browser does not support binary websocket messages. \" +\n",
	+ " \"Performance may be slow.\");\n",
	+ " }\n",
	+ " }\n",
	+ "\n",
	+ " this.imageObj = new Image();\n",
	+ "\n",
	+ " this.context = undefined;\n",
	+ " this.message = undefined;\n",
	+ " this.canvas = undefined;\n",
	+ " this.rubberband_canvas = undefined;\n",
	+ " this.rubberband_context = undefined;\n",
	+ " this.format_dropdown = undefined;\n",
	+ "\n",
	+ " this.image_mode = 'full';\n",
	+ "\n",
	+ " this.root = $('<div/>');\n",
	+ " this._root_extra_style(this.root)\n",
	+ " this.root.attr('style', 'display: inline-block');\n",
	+ "\n",
	+ " $(parent_element).append(this.root);\n",
	+ "\n",
	+ " this._init_header(this);\n",
	+ " this._init_canvas(this);\n",
	+ " this._init_toolbar(this);\n",
	+ "\n",
	+ " var fig = this;\n",
	+ "\n",
	+ " this.waiting = false;\n",
	+ "\n",
	+ " this.ws.onopen = function () {\n",
	+ " fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
	+ " fig.send_message(\"send_image_mode\", {});\n",
	+ " if (mpl.ratio != 1) {\n",
	+ " fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
	+ " }\n",
	+ " fig.send_message(\"refresh\", {});\n",
	+ " }\n",
	+ "\n",
	+ " this.imageObj.onload = function() {\n",
	+ " if (fig.image_mode == 'full') {\n",
	+ " // Full images could contain transparency (where diff images\n",
	+ " // almost always do), so we need to clear the canvas so that\n",
	+ " // there is no ghosting.\n",
	+ " fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
	+ " }\n",
	+ " fig.context.drawImage(fig.imageObj, 0, 0);\n",
	+ " };\n",
	+ "\n",
	+ " this.imageObj.onunload = function() {\n",
	+ " fig.ws.close();\n",
	+ " }\n",
	+ "\n",
	+ " this.ws.onmessage = this._make_on_message_function(this);\n",
	+ "\n",
	+ " this.ondownload = ondownload;\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._init_header = function() {\n",
	+ " var titlebar = $(\n",
	+ " '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
	+ " 'ui-helper-clearfix\"/>');\n",
	+ " var titletext = $(\n",
	+ " '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
	+ " 'text-align: center; padding: 3px;\"/>');\n",
	+ " titlebar.append(titletext)\n",
	+ " this.root.append(titlebar);\n",
	+ " this.header = titletext[0];\n",
	+ "}\n",
	+ "\n",
	+ "\n",
	+ "\n",
	+ "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
	+ "\n",
	+ "}\n",
	+ "\n",
	+ "\n",
	+ "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
	+ "\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._init_canvas = function() {\n",
	+ " var fig = this;\n",
	+ "\n",
	+ " var canvas_div = $('<div/>');\n",
	+ "\n",
	+ " canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
	+ "\n",
	+ " function canvas_keyboard_event(event) {\n",
	+ " return fig.key_event(event, event['data']);\n",
	+ " }\n",
	+ "\n",
	+ " canvas_div.keydown('key_press', canvas_keyboard_event);\n",
	+ " canvas_div.keyup('key_release', canvas_keyboard_event);\n",
	+ " this.canvas_div = canvas_div\n",
	+ " this._canvas_extra_style(canvas_div)\n",
	+ " this.root.append(canvas_div);\n",
	+ "\n",
	+ " var canvas = $('<canvas/>');\n",
	+ " canvas.addClass('mpl-canvas');\n",
	+ " canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
	+ "\n",
	+ " this.canvas = canvas[0];\n",
	+ " this.context = canvas[0].getContext(\"2d\");\n",
	+ "\n",
	+ " var backingStore = this.context.backingStorePixelRatio \|\|\n",
	+ "\tthis.context.webkitBackingStorePixelRatio \|\|\n",
	+ "\tthis.context.mozBackingStorePixelRatio \|\|\n",
	+ "\tthis.context.msBackingStorePixelRatio \|\|\n",
	+ "\tthis.context.oBackingStorePixelRatio \|\|\n",
	+ "\tthis.context.backingStorePixelRatio \|\| 1;\n",
	+ "\n",
	+ " mpl.ratio = (window.devicePixelRatio \|\| 1) / backingStore;\n",
	+ "\n",
	+ " var rubberband = $('<canvas/>');\n",
	+ " rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
	+ "\n",
	+ " var pass_mouse_events = true;\n",
	+ "\n",
	+ " canvas_div.resizable({\n",
	+ " start: function(event, ui) {\n",
	+ " pass_mouse_events = false;\n",
	+ " },\n",
	+ " resize: function(event, ui) {\n",
	+ " fig.request_resize(ui.size.width, ui.size.height);\n",
	+ " },\n",
	+ " stop: function(event, ui) {\n",
	+ " pass_mouse_events = true;\n",
	+ " fig.request_resize(ui.size.width, ui.size.height);\n",
	+ " },\n",
	+ " });\n",
	+ "\n",
	+ " function mouse_event_fn(event) {\n",
	+ " if (pass_mouse_events)\n",
	+ " return fig.mouse_event(event, event['data']);\n",
	+ " }\n",
	+ "\n",
	+ " rubberband.mousedown('button_press', mouse_event_fn);\n",
	+ " rubberband.mouseup('button_release', mouse_event_fn);\n",
	+ " // Throttle sequential mouse events to 1 every 20ms.\n",
	+ " rubberband.mousemove('motion_notify', mouse_event_fn);\n",
	+ "\n",
	+ " rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
	+ " rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
	+ "\n",
	+ " canvas_div.on(\"wheel\", function (event) {\n",
	+ " event = event.originalEvent;\n",
	+ " event['data'] = 'scroll'\n",
	+ " if (event.deltaY < 0) {\n",
	+ " event.step = 1;\n",
	+ " } else {\n",
	+ " event.step = -1;\n",
	+ " }\n",
	+ " mouse_event_fn(event);\n",
	+ " });\n",
	+ "\n",
	+ " canvas_div.append(canvas);\n",
	+ " canvas_div.append(rubberband);\n",
	+ "\n",
	+ " this.rubberband = rubberband;\n",
	+ " this.rubberband_canvas = rubberband[0];\n",
	+ " this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
	+ " this.rubberband_context.strokeStyle = \"#000000\";\n",
	+ "\n",
	+ " this._resize_canvas = function(width, height) {\n",
	+ " // Keep the size of the canvas, canvas container, and rubber band\n",
	+ " // canvas in synch.\n",
	+ " canvas_div.css('width', width)\n",
	+ " canvas_div.css('height', height)\n",
	+ "\n",
	+ " canvas.attr('width', width * mpl.ratio);\n",
	+ " canvas.attr('height', height * mpl.ratio);\n",
	+ " canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
	+ "\n",
	+ " rubberband.attr('width', width);\n",
	+ " rubberband.attr('height', height);\n",
	+ " }\n",
	+ "\n",
	+ " // Set the figure to an initial 600x600px, this will subsequently be updated\n",
	+ " // upon first draw.\n",
	+ " this._resize_canvas(600, 600);\n",
	+ "\n",
	+ " // Disable right mouse context menu.\n",
	+ " $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
	+ " return false;\n",
	+ " });\n",
	+ "\n",
	+ " function set_focus () {\n",
	+ " canvas.focus();\n",
	+ " canvas_div.focus();\n",
	+ " }\n",
	+ "\n",
	+ " window.setTimeout(set_focus, 100);\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._init_toolbar = function() {\n",
	+ " var fig = this;\n",
	+ "\n",
	+ " var nav_element = $('<div/>')\n",
	+ " nav_element.attr('style', 'width: 100%');\n",
	+ " this.root.append(nav_element);\n",
	+ "\n",
	+ " // Define a callback function for later on.\n",
	+ " function toolbar_event(event) {\n",
	+ " return fig.toolbar_button_onclick(event['data']);\n",
	+ " }\n",
	+ " function toolbar_mouse_event(event) {\n",
	+ " return fig.toolbar_button_onmouseover(event['data']);\n",
	+ " }\n",
	+ "\n",
	+ " for(var toolbar_ind in mpl.toolbar_items) {\n",
	+ " var name = mpl.toolbar_items[toolbar_ind][0];\n",
	+ " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
	+ " var image = mpl.toolbar_items[toolbar_ind][2];\n",
	+ " var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
	+ "\n",
	+ " if (!name) {\n",
	+ " // put a spacer in here.\n",
	+ " continue;\n",
	+ " }\n",
	+ " var button = $('<button/>');\n",
	+ " button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
	+ " 'ui-button-icon-only');\n",
	+ " button.attr('role', 'button');\n",
	+ " button.attr('aria-disabled', 'false');\n",
	+ " button.click(method_name, toolbar_event);\n",
	+ " button.mouseover(tooltip, toolbar_mouse_event);\n",
	+ "\n",
	+ " var icon_img = $('<span/>');\n",
	+ " icon_img.addClass('ui-button-icon-primary ui-icon');\n",
	+ " icon_img.addClass(image);\n",
	+ " icon_img.addClass('ui-corner-all');\n",
	+ "\n",
	+ " var tooltip_span = $('<span/>');\n",
	+ " tooltip_span.addClass('ui-button-text');\n",
	+ " tooltip_span.html(tooltip);\n",
	+ "\n",
	+ " button.append(icon_img);\n",
	+ " button.append(tooltip_span);\n",
	+ "\n",
	+ " nav_element.append(button);\n",
	+ " }\n",
	+ "\n",
	+ " var fmt_picker_span = $('<span/>');\n",
	+ "\n",
	+ " var fmt_picker = $('<select/>');\n",
	+ " fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
	+ " fmt_picker_span.append(fmt_picker);\n",
	+ " nav_element.append(fmt_picker_span);\n",
	+ " this.format_dropdown = fmt_picker[0];\n",
	+ "\n",
	+ " for (var ind in mpl.extensions) {\n",
	+ " var fmt = mpl.extensions[ind];\n",
	+ " var option = $(\n",
	+ " '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
	+ " fmt_picker.append(option)\n",
	+ " }\n",
	+ "\n",
	+ " // Add hover states to the ui-buttons\n",
	+ " $( \".ui-button\" ).hover(\n",
	+ " function() { $(this).addClass(\"ui-state-hover\");},\n",
	+ " function() { $(this).removeClass(\"ui-state-hover\");}\n",
	+ " );\n",
	+ "\n",
	+ " var status_bar = $('<span class=\"mpl-message\"/>');\n",
	+ " nav_element.append(status_bar);\n",
	+ " this.message = status_bar[0];\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
	+ " // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
	+ " // which will in turn request a refresh of the image.\n",
	+ " this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.send_message = function(type, properties) {\n",
	+ " properties['type'] = type;\n",
	+ " properties['figure_id'] = this.id;\n",
	+ " this.ws.send(JSON.stringify(properties));\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.send_draw_message = function() {\n",
	+ " if (!this.waiting) {\n",
	+ " this.waiting = true;\n",
	+ " this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
	+ " }\n",
	+ "}\n",
	+ "\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
	+ " var format_dropdown = fig.format_dropdown;\n",
	+ " var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
	+ " fig.ondownload(fig, format);\n",
	+ "}\n",
	+ "\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
	+ " var size = msg['size'];\n",
	+ " if (size[0] != fig.canvas.width \|\| size[1] != fig.canvas.height) {\n",
	+ " fig._resize_canvas(size[0], size[1]);\n",
	+ " fig.send_message(\"refresh\", {});\n",
	+ " };\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
	+ " var x0 = msg['x0'] / mpl.ratio;\n",
	+ " var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
	+ " var x1 = msg['x1'] / mpl.ratio;\n",
	+ " var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
	+ " x0 = Math.floor(x0) + 0.5;\n",
	+ " y0 = Math.floor(y0) + 0.5;\n",
	+ " x1 = Math.floor(x1) + 0.5;\n",
	+ " y1 = Math.floor(y1) + 0.5;\n",
	+ " var min_x = Math.min(x0, x1);\n",
	+ " var min_y = Math.min(y0, y1);\n",
	+ " var width = Math.abs(x1 - x0);\n",
	+ " var height = Math.abs(y1 - y0);\n",
	+ "\n",
	+ " fig.rubberband_context.clearRect(\n",
	+ " 0, 0, fig.canvas.width, fig.canvas.height);\n",
	+ "\n",
	+ " fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
	+ " // Updates the figure title.\n",
	+ " fig.header.textContent = msg['label'];\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
	+ " var cursor = msg['cursor'];\n",
	+ " switch(cursor)\n",
	+ " {\n",
	+ " case 0:\n",
	+ " cursor = 'pointer';\n",
	+ " break;\n",
	+ " case 1:\n",
	+ " cursor = 'default';\n",
	+ " break;\n",
	+ " case 2:\n",
	+ " cursor = 'crosshair';\n",
	+ " break;\n",
	+ " case 3:\n",
	+ " cursor = 'move';\n",
	+ " break;\n",
	+ " }\n",
	+ " fig.rubberband_canvas.style.cursor = cursor;\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
	+ " fig.message.textContent = msg['message'];\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
	+ " // Request the server to send over a new figure.\n",
	+ " fig.send_draw_message();\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
	+ " fig.image_mode = msg['mode'];\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.updated_canvas_event = function() {\n",
	+ " // Called whenever the canvas gets updated.\n",
	+ " this.send_message(\"ack\", {});\n",
	+ "}\n",
	+ "\n",
	+ "// A function to construct a web socket function for onmessage handling.\n",
	+ "// Called in the figure constructor.\n",
	+ "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
	+ " return function socket_on_message(evt) {\n",
	+ " if (evt.data instanceof Blob) {\n",
	+ " /* FIXME: We get \"Resource interpreted as Image but\n",
	+ " * transferred with MIME type text/plain:\" errors on\n",
	+ " * Chrome. But how to set the MIME type? It doesn't seem\n",
	+ " * to be part of the websocket stream */\n",
	+ " evt.data.type = \"image/png\";\n",
	+ "\n",
	+ " /* Free the memory for the previous frames */\n",
	+ " if (fig.imageObj.src) {\n",
	+ " (window.URL \|\| window.webkitURL).revokeObjectURL(\n",
	+ " fig.imageObj.src);\n",
	+ " }\n",
	+ "\n",
	+ " fig.imageObj.src = (window.URL \|\| window.webkitURL).createObjectURL(\n",
	+ " evt.data);\n",
	+ " fig.updated_canvas_event();\n",
	+ " fig.waiting = false;\n",
	+ " return;\n",
	+ " }\n",
	+ " else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
	+ " fig.imageObj.src = evt.data;\n",
	+ " fig.updated_canvas_event();\n",
	+ " fig.waiting = false;\n",
	+ " return;\n",
	+ " }\n",
	+ "\n",
	+ " var msg = JSON.parse(evt.data);\n",
	+ " var msg_type = msg['type'];\n",
	+ "\n",
	+ " // Call the \"handle_{type}\" callback, which takes\n",
	+ " // the figure and JSON message as its only arguments.\n",
	+ " try {\n",
	+ " var callback = fig[\"handle_\" + msg_type];\n",
	+ " } catch (e) {\n",
	+ " console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
	+ " return;\n",
	+ " }\n",
	+ "\n",
	+ " if (callback) {\n",
	+ " try {\n",
	+ " // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
	+ " callback(fig, msg);\n",
	+ " } catch (e) {\n",
	+ " console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
	+ " }\n",
	+ " }\n",
	+ " };\n",
	+ "}\n",
	+ "\n",
	+ "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
	+ "mpl.findpos = function(e) {\n",
	+ " //this section is from http://www.quirksmode.org/js/events_properties.html\n",
	+ " var targ;\n",
	+ " if (!e)\n",
	+ " e = window.event;\n",
	+ " if (e.target)\n",
	+ " targ = e.target;\n",
	+ " else if (e.srcElement)\n",
	+ " targ = e.srcElement;\n",
	+ " if (targ.nodeType == 3) // defeat Safari bug\n",
	+ " targ = targ.parentNode;\n",
	+ "\n",
	+ " // jQuery normalizes the pageX and pageY\n",
	+ " // pageX,Y are the mouse positions relative to the document\n",
	+ " // offset() returns the position of the element relative to the document\n",
	+ " var x = e.pageX - $(targ).offset().left;\n",
	+ " var y = e.pageY - $(targ).offset().top;\n",
	+ "\n",
	+ " return {\"x\": x, \"y\": y};\n",
	+ "};\n",
	+ "\n",
	+ "/*\n",
	+ " * return a copy of an object with only non-object keys\n",
	+ " * we need this to avoid circular references\n",
	+ " * http://stackoverflow.com/a/24161582/3208463\n",
	+ " */\n",
	+ "function simpleKeys (original) {\n",
	+ " return Object.keys(original).reduce(function (obj, key) {\n",
	+ " if (typeof original[key] !== 'object')\n",
	+ " obj[key] = original[key]\n",
	+ " return obj;\n",
	+ " }, {});\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.mouse_event = function(event, name) {\n",
	+ " var canvas_pos = mpl.findpos(event)\n",
	+ "\n",
	+ " if (name === 'button_press')\n",
	+ " {\n",
	+ " this.canvas.focus();\n",
	+ " this.canvas_div.focus();\n",
	+ " }\n",
	+ "\n",
	+ " var x = canvas_pos.x * mpl.ratio;\n",
	+ " var y = canvas_pos.y * mpl.ratio;\n",
	+ "\n",
	+ " this.send_message(name, {x: x, y: y, button: event.button,\n",
	+ " step: event.step,\n",
	+ " guiEvent: simpleKeys(event)});\n",
	+ "\n",
	+ " /* This prevents the web browser from automatically changing to\n",
	+ " * the text insertion cursor when the button is pressed. We want\n",
	+ " * to control all of the cursor setting manually through the\n",
	+ " * 'cursor' event from matplotlib */\n",
	+ " event.preventDefault();\n",
	+ " return false;\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
	+ " // Handle any extra behaviour associated with a key event\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.key_event = function(event, name) {\n",
	+ "\n",
	+ " // Prevent repeat events\n",
	+ " if (name == 'key_press')\n",
	+ " {\n",
	+ " if (event.which === this._key)\n",
	+ " return;\n",
	+ " else\n",
	+ " this._key = event.which;\n",
	+ " }\n",
	+ " if (name == 'key_release')\n",
	+ " this._key = null;\n",
	+ "\n",
	+ " var value = '';\n",
	+ " if (event.ctrlKey && event.which != 17)\n",
	+ " value += \"ctrl+\";\n",
	+ " if (event.altKey && event.which != 18)\n",
	+ " value += \"alt+\";\n",
	+ " if (event.shiftKey && event.which != 16)\n",
	+ " value += \"shift+\";\n",
	+ "\n",
	+ " value += 'k';\n",
	+ " value += event.which.toString();\n",
	+ "\n",
	+ " this._key_event_extra(event, name);\n",
	+ "\n",
	+ " this.send_message(name, {key: value,\n",
	+ " guiEvent: simpleKeys(event)});\n",
	+ " return false;\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
	+ " if (name == 'download') {\n",
	+ " this.handle_save(this, null);\n",
	+ " } else {\n",
	+ " this.send_message(\"toolbar_button\", {name: name});\n",
	+ " }\n",
	+ "};\n",
	+ "\n",
	+ "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
	+ " this.message.textContent = tooltip;\n",
	+ "};\n",
	+ "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
	+ "\n",
	+ "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
	+ "\n",
	+ "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
	+ " // Create a \"websocket\"-like object which calls the given IPython comm\n",
	+ " // object with the appropriate methods. Currently this is a non binary\n",
	+ " // socket, so there is still some room for performance tuning.\n",
	+ " var ws = {};\n",
	+ "\n",
	+ " ws.close = function() {\n",
	+ " comm.close()\n",
	+ " };\n",
	+ " ws.send = function(m) {\n",
	+ " //console.log('sending', m);\n",
	+ " comm.send(m);\n",
	+ " };\n",
	+ " // Register the callback with on_msg.\n",
	+ " comm.on_msg(function(msg) {\n",
	+ " //console.log('receiving', msg['content']['data'], msg);\n",
	+ " // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
	+ " ws.onmessage(msg['content']['data'])\n",
	+ " });\n",
	+ " return ws;\n",
	+ "}\n",
	+ "\n",
	+ "mpl.mpl_figure_comm = function(comm, msg) {\n",
	+ " // This is the function which gets called when the mpl process\n",
	+ " // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
	+ "\n",
	+ " var id = msg.content.data.id;\n",
	+ " // Get hold of the div created by the display call when the Comm\n",
	+ " // socket was opened in Python.\n",
	+ " var element = $(\"#\" + id);\n",
	+ " var ws_proxy = comm_websocket_adapter(comm)\n",
	+ "\n",
	+ " function ondownload(figure, format) {\n",
	+ " window.open(figure.imageObj.src);\n",
	+ " }\n",
	+ "\n",
	+ " var fig = new mpl.figure(id, ws_proxy,\n",
	+ " ondownload,\n",
	+ " element.get(0));\n",
	+ "\n",
	+ " // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
	+ " // web socket which is closed, not our websocket->open comm proxy.\n",
	+ " ws_proxy.onopen();\n",
	+ "\n",
	+ " fig.parent_element = element.get(0);\n",
	+ " fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
	+ " if (!fig.cell_info) {\n",
	+ " console.error(\"Failed to find cell for figure\", id, fig);\n",
	+ " return;\n",
	+ " }\n",
	+ "\n",
	+ " var output_index = fig.cell_info[2]\n",
	+ " var cell = fig.cell_info[0];\n",
	+ "\n",
	+ "};\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
	+ " var width = fig.canvas.width/mpl.ratio\n",
	+ " fig.root.unbind('remove')\n",
	+ "\n",
	+ " // Update the output cell to use the data from the current canvas.\n",
	+ " fig.push_to_output();\n",
	+ " var dataURL = fig.canvas.toDataURL();\n",
	+ " // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
	+ " // the notebook keyboard shortcuts fail.\n",
	+ " IPython.keyboard_manager.enable()\n",
	+ " $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
	+ " fig.close_ws(fig, msg);\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.close_ws = function(fig, msg){\n",
	+ " fig.send_message('closing', msg);\n",
	+ " // fig.ws.close()\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
	+ " // Turn the data on the canvas into data in the output cell.\n",
	+ " var width = this.canvas.width/mpl.ratio\n",
	+ " var dataURL = this.canvas.toDataURL();\n",
	+ " this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.updated_canvas_event = function() {\n",
	+ " // Tell IPython that the notebook contents must change.\n",
	+ " IPython.notebook.set_dirty(true);\n",
	+ " this.send_message(\"ack\", {});\n",
	+ " var fig = this;\n",
	+ " // Wait a second, then push the new image to the DOM so\n",
	+ " // that it is saved nicely (might be nice to debounce this).\n",
	+ " setTimeout(function () { fig.push_to_output() }, 1000);\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._init_toolbar = function() {\n",
	+ " var fig = this;\n",
	+ "\n",
	+ " var nav_element = $('<div/>')\n",
	+ " nav_element.attr('style', 'width: 100%');\n",
	+ " this.root.append(nav_element);\n",
	+ "\n",
	+ " // Define a callback function for later on.\n",
	+ " function toolbar_event(event) {\n",
	+ " return fig.toolbar_button_onclick(event['data']);\n",
	+ " }\n",
	+ " function toolbar_mouse_event(event) {\n",
	+ " return fig.toolbar_button_onmouseover(event['data']);\n",
	+ " }\n",
	+ "\n",
	+ " for(var toolbar_ind in mpl.toolbar_items){\n",
	+ " var name = mpl.toolbar_items[toolbar_ind][0];\n",
	+ " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
	+ " var image = mpl.toolbar_items[toolbar_ind][2];\n",
	+ " var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
	+ "\n",
	+ " if (!name) { continue; };\n",
	+ "\n",
	+ " var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
	+ " button.click(method_name, toolbar_event);\n",
	+ " button.mouseover(tooltip, toolbar_mouse_event);\n",
	+ " nav_element.append(button);\n",
	+ " }\n",
	+ "\n",
	+ " // Add the status bar.\n",
	+ " var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
	+ " nav_element.append(status_bar);\n",
	+ " this.message = status_bar[0];\n",
	+ "\n",
	+ " // Add the close button to the window.\n",
	+ " var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
	+ " var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
	+ " button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
	+ " button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
	+ " buttongrp.append(button);\n",
	+ " var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
	+ " titlebar.prepend(buttongrp);\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._root_extra_style = function(el){\n",
	+ " var fig = this\n",
	+ " el.on(\"remove\", function(){\n",
	+ "\tfig.close_ws(fig, {});\n",
	+ " });\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._canvas_extra_style = function(el){\n",
	+ " // this is important to make the div 'focusable\n",
	+ " el.attr('tabindex', 0)\n",
	+ " // reach out to IPython and tell the keyboard manager to turn it's self\n",
	+ " // off when our div gets focus\n",
	+ "\n",
	+ " // location in version 3\n",
	+ " if (IPython.notebook.keyboard_manager) {\n",
	+ " IPython.notebook.keyboard_manager.register_events(el);\n",
	+ " }\n",
	+ " else {\n",
	+ " // location in version 2\n",
	+ " IPython.keyboard_manager.register_events(el);\n",
	+ " }\n",
	+ "\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
	+ " var manager = IPython.notebook.keyboard_manager;\n",
	+ " if (!manager)\n",
	+ " manager = IPython.keyboard_manager;\n",
	+ "\n",
	+ " // Check for shift+enter\n",
	+ " if (event.shiftKey && event.which == 13) {\n",
	+ " this.canvas_div.blur();\n",
	+ " event.shiftKey = false;\n",
	+ " // Send a \"J\" for go to next cell\n",
	+ " event.which = 74;\n",
	+ " event.keyCode = 74;\n",
	+ " manager.command_mode();\n",
	+ " manager.handle_keydown(event);\n",
	+ " }\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
	+ " fig.ondownload(fig, null);\n",
	+ "}\n",
	+ "\n",
	+ "\n",
	+ "mpl.find_output_cell = function(html_output) {\n",
	+ " // Return the cell and output element which can be found uniquely in the notebook.\n",
	+ " // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
	+ " // IPython event is triggered only after the cells have been serialised, which for\n",
	+ " // our purposes (turning an active figure into a static one), is too late.\n",
	+ " var cells = IPython.notebook.get_cells();\n",
	+ " var ncells = cells.length;\n",
	+ " for (var i=0; i<ncells; i++) {\n",
	+ " var cell = cells[i];\n",
	+ " if (cell.cell_type === 'code'){\n",
	+ " for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
	+ " var data = cell.output_area.outputs[j];\n",
	+ " if (data.data) {\n",
	+ " // IPython >= 3 moved mimebundle to data attribute of output\n",
	+ " data = data.data;\n",
	+ " }\n",
	+ " if (data['text/html'] == html_output) {\n",
	+ " return [cell, data, j];\n",
	+ " }\n",
	+ " }\n",
	+ " }\n",
	+ " }\n",
	+ "}\n",
	+ "\n",
	+ "// Register the function which deals with the matplotlib target/channel.\n",
	+ "// The kernel may be null if the page has been refreshed.\n",
	+ "if (IPython.notebook.kernel != null) {\n",
	+ " IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
	+ "}\n"
	+ ],
	+ "text/plain": [
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	+ "metadata": {},
	+ "output_type": "display_data"
	+ },
	+ {
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\" width=\"640\">"
	+ ],
	+ "text/plain": [
	+ "<IPython.core.display.HTML object>"
	+ ]
	+ },
	+ "metadata": {},
	+ "output_type": "display_data"
	+ }
	+ ],
	+ "source": [
	+ "plt.figure()\n",
	+ "plt.bar(range(n_features,0,-1), MSE)\n",
	+ "plt.title('Mean-squared error for different numbers of features')\n",
	+ "plt.xlabel('Number of features')\n",
	+ "plt.ylabel('Mean-squared error')\n",
	+ "plt.show()\n",
	+ "plt.savefig('MSE_varying_features.png', dpi=300)"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 97,
	+ "metadata": {},
	+ "outputs": [
	+ {
	+ "name": "stdout",
	+ "output_type": "stream",
	+ "text": [
	+ "[0.02356106 0.02355203 0.02354303 0.0235818 0.02361018 0.02373792\n",
	+ " 0.02427768 0.02517083 0.02510396 0.02596514 0.02861912 0.03549382\n",
	+ " 0.03489173 0.03438738]\n"
	+ ]
	+ }
	+ ],
	+ "source": [
	+ "print(MSE)"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": null,
	+ "metadata": {},
	+ "outputs": [],
	+ "source": [
	+ "print(min(MSE)) # --> 10 features minimum, nearly the same error with 8 features"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 30,
	+ "metadata": {},
	+ "outputs": [
	+ {
	+ "data": {
	+ "application/javascript": [
	+ "/* Put everything inside the global mpl namespace */\n",
	+ "window.mpl = {};\n",
	+ "\n",
	+ "\n",
	+ "mpl.get_websocket_type = function() {\n",
	+ " if (typeof(WebSocket) !== 'undefined') {\n",
	+ " return WebSocket;\n",
	+ " } else if (typeof(MozWebSocket) !== 'undefined') {\n",
	+ " return MozWebSocket;\n",
	+ " } else {\n",
	+ " alert('Your browser does not have WebSocket support.' +\n",
	+ " 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
	+ " 'Firefox 4 and 5 are also supported but you ' +\n",
	+ " 'have to enable WebSockets in about:config.');\n",
	+ " };\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
	+ " this.id = figure_id;\n",
	+ "\n",
	+ " this.ws = websocket;\n",
	+ "\n",
	+ " this.supports_binary = (this.ws.binaryType != undefined);\n",
	+ "\n",
	+ " if (!this.supports_binary) {\n",
	+ " var warnings = document.getElementById(\"mpl-warnings\");\n",
	+ " if (warnings) {\n",
	+ " warnings.style.display = 'block';\n",
	+ " warnings.textContent = (\n",
	+ " \"This browser does not support binary websocket messages. \" +\n",
	+ " \"Performance may be slow.\");\n",
	+ " }\n",
	+ " }\n",
	+ "\n",
	+ " this.imageObj = new Image();\n",
	+ "\n",
	+ " this.context = undefined;\n",
	+ " this.message = undefined;\n",
	+ " this.canvas = undefined;\n",
	+ " this.rubberband_canvas = undefined;\n",
	+ " this.rubberband_context = undefined;\n",
	+ " this.format_dropdown = undefined;\n",
	+ "\n",
	+ " this.image_mode = 'full';\n",
	+ "\n",
	+ " this.root = $('<div/>');\n",
	+ " this._root_extra_style(this.root)\n",
	+ " this.root.attr('style', 'display: inline-block');\n",
	+ "\n",
	+ " $(parent_element).append(this.root);\n",
	+ "\n",
	+ " this._init_header(this);\n",
	+ " this._init_canvas(this);\n",
	+ " this._init_toolbar(this);\n",
	+ "\n",
	+ " var fig = this;\n",
	+ "\n",
	+ " this.waiting = false;\n",
	+ "\n",
	+ " this.ws.onopen = function () {\n",
	+ " fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
	+ " fig.send_message(\"send_image_mode\", {});\n",
	+ " if (mpl.ratio != 1) {\n",
	+ " fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
	+ " }\n",
	+ " fig.send_message(\"refresh\", {});\n",
	+ " }\n",
	+ "\n",
	+ " this.imageObj.onload = function() {\n",
	+ " if (fig.image_mode == 'full') {\n",
	+ " // Full images could contain transparency (where diff images\n",
	+ " // almost always do), so we need to clear the canvas so that\n",
	+ " // there is no ghosting.\n",
	+ " fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
	+ " }\n",
	+ " fig.context.drawImage(fig.imageObj, 0, 0);\n",
	+ " };\n",
	+ "\n",
	+ " this.imageObj.onunload = function() {\n",
	+ " fig.ws.close();\n",
	+ " }\n",
	+ "\n",
	+ " this.ws.onmessage = this._make_on_message_function(this);\n",
	+ "\n",
	+ " this.ondownload = ondownload;\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._init_header = function() {\n",
	+ " var titlebar = $(\n",
	+ " '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
	+ " 'ui-helper-clearfix\"/>');\n",
	+ " var titletext = $(\n",
	+ " '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
	+ " 'text-align: center; padding: 3px;\"/>');\n",
	+ " titlebar.append(titletext)\n",
	+ " this.root.append(titlebar);\n",
	+ " this.header = titletext[0];\n",
	+ "}\n",
	+ "\n",
	+ "\n",
	+ "\n",
	+ "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
	+ "\n",
	+ "}\n",
	+ "\n",
	+ "\n",
	+ "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
	+ "\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._init_canvas = function() {\n",
	+ " var fig = this;\n",
	+ "\n",
	+ " var canvas_div = $('<div/>');\n",
	+ "\n",
	+ " canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
	+ "\n",
	+ " function canvas_keyboard_event(event) {\n",
	+ " return fig.key_event(event, event['data']);\n",
	+ " }\n",
	+ "\n",
	+ " canvas_div.keydown('key_press', canvas_keyboard_event);\n",
	+ " canvas_div.keyup('key_release', canvas_keyboard_event);\n",
	+ " this.canvas_div = canvas_div\n",
	+ " this._canvas_extra_style(canvas_div)\n",
	+ " this.root.append(canvas_div);\n",
	+ "\n",
	+ " var canvas = $('<canvas/>');\n",
	+ " canvas.addClass('mpl-canvas');\n",
	+ " canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
	+ "\n",
	+ " this.canvas = canvas[0];\n",
	+ " this.context = canvas[0].getContext(\"2d\");\n",
	+ "\n",
	+ " var backingStore = this.context.backingStorePixelRatio \|\|\n",
	+ "\tthis.context.webkitBackingStorePixelRatio \|\|\n",
	+ "\tthis.context.mozBackingStorePixelRatio \|\|\n",
	+ "\tthis.context.msBackingStorePixelRatio \|\|\n",
	+ "\tthis.context.oBackingStorePixelRatio \|\|\n",
	+ "\tthis.context.backingStorePixelRatio \|\| 1;\n",
	+ "\n",
	+ " mpl.ratio = (window.devicePixelRatio \|\| 1) / backingStore;\n",
	+ "\n",
	+ " var rubberband = $('<canvas/>');\n",
	+ " rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
	+ "\n",
	+ " var pass_mouse_events = true;\n",
	+ "\n",
	+ " canvas_div.resizable({\n",
	+ " start: function(event, ui) {\n",
	+ " pass_mouse_events = false;\n",
	+ " },\n",
	+ " resize: function(event, ui) {\n",
	+ " fig.request_resize(ui.size.width, ui.size.height);\n",
	+ " },\n",
	+ " stop: function(event, ui) {\n",
	+ " pass_mouse_events = true;\n",
	+ " fig.request_resize(ui.size.width, ui.size.height);\n",
	+ " },\n",
	+ " });\n",
	+ "\n",
	+ " function mouse_event_fn(event) {\n",
	+ " if (pass_mouse_events)\n",
	+ " return fig.mouse_event(event, event['data']);\n",
	+ " }\n",
	+ "\n",
	+ " rubberband.mousedown('button_press', mouse_event_fn);\n",
	+ " rubberband.mouseup('button_release', mouse_event_fn);\n",
	+ " // Throttle sequential mouse events to 1 every 20ms.\n",
	+ " rubberband.mousemove('motion_notify', mouse_event_fn);\n",
	+ "\n",
	+ " rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
	+ " rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
	+ "\n",
	+ " canvas_div.on(\"wheel\", function (event) {\n",
	+ " event = event.originalEvent;\n",
	+ " event['data'] = 'scroll'\n",
	+ " if (event.deltaY < 0) {\n",
	+ " event.step = 1;\n",
	+ " } else {\n",
	+ " event.step = -1;\n",
	+ " }\n",
	+ " mouse_event_fn(event);\n",
	+ " });\n",
	+ "\n",
	+ " canvas_div.append(canvas);\n",
	+ " canvas_div.append(rubberband);\n",
	+ "\n",
	+ " this.rubberband = rubberband;\n",
	+ " this.rubberband_canvas = rubberband[0];\n",
	+ " this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
	+ " this.rubberband_context.strokeStyle = \"#000000\";\n",
	+ "\n",
	+ " this._resize_canvas = function(width, height) {\n",
	+ " // Keep the size of the canvas, canvas container, and rubber band\n",
	+ " // canvas in synch.\n",
	+ " canvas_div.css('width', width)\n",
	+ " canvas_div.css('height', height)\n",
	+ "\n",
	+ " canvas.attr('width', width * mpl.ratio);\n",
	+ " canvas.attr('height', height * mpl.ratio);\n",
	+ " canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
	+ "\n",
	+ " rubberband.attr('width', width);\n",
	+ " rubberband.attr('height', height);\n",
	+ " }\n",
	+ "\n",
	+ " // Set the figure to an initial 600x600px, this will subsequently be updated\n",
	+ " // upon first draw.\n",
	+ " this._resize_canvas(600, 600);\n",
	+ "\n",
	+ " // Disable right mouse context menu.\n",
	+ " $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
	+ " return false;\n",
	+ " });\n",
	+ "\n",
	+ " function set_focus () {\n",
	+ " canvas.focus();\n",
	+ " canvas_div.focus();\n",
	+ " }\n",
	+ "\n",
	+ " window.setTimeout(set_focus, 100);\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._init_toolbar = function() {\n",
	+ " var fig = this;\n",
	+ "\n",
	+ " var nav_element = $('<div/>')\n",
	+ " nav_element.attr('style', 'width: 100%');\n",
	+ " this.root.append(nav_element);\n",
	+ "\n",
	+ " // Define a callback function for later on.\n",
	+ " function toolbar_event(event) {\n",
	+ " return fig.toolbar_button_onclick(event['data']);\n",
	+ " }\n",
	+ " function toolbar_mouse_event(event) {\n",
	+ " return fig.toolbar_button_onmouseover(event['data']);\n",
	+ " }\n",
	+ "\n",
	+ " for(var toolbar_ind in mpl.toolbar_items) {\n",
	+ " var name = mpl.toolbar_items[toolbar_ind][0];\n",
	+ " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
	+ " var image = mpl.toolbar_items[toolbar_ind][2];\n",
	+ " var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
	+ "\n",
	+ " if (!name) {\n",
	+ " // put a spacer in here.\n",
	+ " continue;\n",
	+ " }\n",
	+ " var button = $('<button/>');\n",
	+ " button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
	+ " 'ui-button-icon-only');\n",
	+ " button.attr('role', 'button');\n",
	+ " button.attr('aria-disabled', 'false');\n",
	+ " button.click(method_name, toolbar_event);\n",
	+ " button.mouseover(tooltip, toolbar_mouse_event);\n",
	+ "\n",
	+ " var icon_img = $('<span/>');\n",
	+ " icon_img.addClass('ui-button-icon-primary ui-icon');\n",
	+ " icon_img.addClass(image);\n",
	+ " icon_img.addClass('ui-corner-all');\n",
	+ "\n",
	+ " var tooltip_span = $('<span/>');\n",
	+ " tooltip_span.addClass('ui-button-text');\n",
	+ " tooltip_span.html(tooltip);\n",
	+ "\n",
	+ " button.append(icon_img);\n",
	+ " button.append(tooltip_span);\n",
	+ "\n",
	+ " nav_element.append(button);\n",
	+ " }\n",
	+ "\n",
	+ " var fmt_picker_span = $('<span/>');\n",
	+ "\n",
	+ " var fmt_picker = $('<select/>');\n",
	+ " fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
	+ " fmt_picker_span.append(fmt_picker);\n",
	+ " nav_element.append(fmt_picker_span);\n",
	+ " this.format_dropdown = fmt_picker[0];\n",
	+ "\n",
	+ " for (var ind in mpl.extensions) {\n",
	+ " var fmt = mpl.extensions[ind];\n",
	+ " var option = $(\n",
	+ " '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
	+ " fmt_picker.append(option)\n",
	+ " }\n",
	+ "\n",
	+ " // Add hover states to the ui-buttons\n",
	+ " $( \".ui-button\" ).hover(\n",
	+ " function() { $(this).addClass(\"ui-state-hover\");},\n",
	+ " function() { $(this).removeClass(\"ui-state-hover\");}\n",
	+ " );\n",
	+ "\n",
	+ " var status_bar = $('<span class=\"mpl-message\"/>');\n",
	+ " nav_element.append(status_bar);\n",
	+ " this.message = status_bar[0];\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
	+ " // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
	+ " // which will in turn request a refresh of the image.\n",
	+ " this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.send_message = function(type, properties) {\n",
	+ " properties['type'] = type;\n",
	+ " properties['figure_id'] = this.id;\n",
	+ " this.ws.send(JSON.stringify(properties));\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.send_draw_message = function() {\n",
	+ " if (!this.waiting) {\n",
	+ " this.waiting = true;\n",
	+ " this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
	+ " }\n",
	+ "}\n",
	+ "\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
	+ " var format_dropdown = fig.format_dropdown;\n",
	+ " var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
	+ " fig.ondownload(fig, format);\n",
	+ "}\n",
	+ "\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
	+ " var size = msg['size'];\n",
	+ " if (size[0] != fig.canvas.width \|\| size[1] != fig.canvas.height) {\n",
	+ " fig._resize_canvas(size[0], size[1]);\n",
	+ " fig.send_message(\"refresh\", {});\n",
	+ " };\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
	+ " var x0 = msg['x0'] / mpl.ratio;\n",
	+ " var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
	+ " var x1 = msg['x1'] / mpl.ratio;\n",
	+ " var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
	+ " x0 = Math.floor(x0) + 0.5;\n",
	+ " y0 = Math.floor(y0) + 0.5;\n",
	+ " x1 = Math.floor(x1) + 0.5;\n",
	+ " y1 = Math.floor(y1) + 0.5;\n",
	+ " var min_x = Math.min(x0, x1);\n",
	+ " var min_y = Math.min(y0, y1);\n",
	+ " var width = Math.abs(x1 - x0);\n",
	+ " var height = Math.abs(y1 - y0);\n",
	+ "\n",
	+ " fig.rubberband_context.clearRect(\n",
	+ " 0, 0, fig.canvas.width, fig.canvas.height);\n",
	+ "\n",
	+ " fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
	+ " // Updates the figure title.\n",
	+ " fig.header.textContent = msg['label'];\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
	+ " var cursor = msg['cursor'];\n",
	+ " switch(cursor)\n",
	+ " {\n",
	+ " case 0:\n",
	+ " cursor = 'pointer';\n",
	+ " break;\n",
	+ " case 1:\n",
	+ " cursor = 'default';\n",
	+ " break;\n",
	+ " case 2:\n",
	+ " cursor = 'crosshair';\n",
	+ " break;\n",
	+ " case 3:\n",
	+ " cursor = 'move';\n",
	+ " break;\n",
	+ " }\n",
	+ " fig.rubberband_canvas.style.cursor = cursor;\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
	+ " fig.message.textContent = msg['message'];\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
	+ " // Request the server to send over a new figure.\n",
	+ " fig.send_draw_message();\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
	+ " fig.image_mode = msg['mode'];\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.updated_canvas_event = function() {\n",
	+ " // Called whenever the canvas gets updated.\n",
	+ " this.send_message(\"ack\", {});\n",
	+ "}\n",
	+ "\n",
	+ "// A function to construct a web socket function for onmessage handling.\n",
	+ "// Called in the figure constructor.\n",
	+ "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
	+ " return function socket_on_message(evt) {\n",
	+ " if (evt.data instanceof Blob) {\n",
	+ " /* FIXME: We get \"Resource interpreted as Image but\n",
	+ " * transferred with MIME type text/plain:\" errors on\n",
	+ " * Chrome. But how to set the MIME type? It doesn't seem\n",
	+ " * to be part of the websocket stream */\n",
	+ " evt.data.type = \"image/png\";\n",
	+ "\n",
	+ " /* Free the memory for the previous frames */\n",
	+ " if (fig.imageObj.src) {\n",
	+ " (window.URL \|\| window.webkitURL).revokeObjectURL(\n",
	+ " fig.imageObj.src);\n",
	+ " }\n",
	+ "\n",
	+ " fig.imageObj.src = (window.URL \|\| window.webkitURL).createObjectURL(\n",
	+ " evt.data);\n",
	+ " fig.updated_canvas_event();\n",
	+ " fig.waiting = false;\n",
	+ " return;\n",
	+ " }\n",
	+ " else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
	+ " fig.imageObj.src = evt.data;\n",
	+ " fig.updated_canvas_event();\n",
	+ " fig.waiting = false;\n",
	+ " return;\n",
	+ " }\n",
	+ "\n",
	+ " var msg = JSON.parse(evt.data);\n",
	+ " var msg_type = msg['type'];\n",
	+ "\n",
	+ " // Call the \"handle_{type}\" callback, which takes\n",
	+ " // the figure and JSON message as its only arguments.\n",
	+ " try {\n",
	+ " var callback = fig[\"handle_\" + msg_type];\n",
	+ " } catch (e) {\n",
	+ " console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
	+ " return;\n",
	+ " }\n",
	+ "\n",
	+ " if (callback) {\n",
	+ " try {\n",
	+ " // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
	+ " callback(fig, msg);\n",
	+ " } catch (e) {\n",
	+ " console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
	+ " }\n",
	+ " }\n",
	+ " };\n",
	+ "}\n",
	+ "\n",
	+ "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
	+ "mpl.findpos = function(e) {\n",
	+ " //this section is from http://www.quirksmode.org/js/events_properties.html\n",
	+ " var targ;\n",
	+ " if (!e)\n",
	+ " e = window.event;\n",
	+ " if (e.target)\n",
	+ " targ = e.target;\n",
	+ " else if (e.srcElement)\n",
	+ " targ = e.srcElement;\n",
	+ " if (targ.nodeType == 3) // defeat Safari bug\n",
	+ " targ = targ.parentNode;\n",
	+ "\n",
	+ " // jQuery normalizes the pageX and pageY\n",
	+ " // pageX,Y are the mouse positions relative to the document\n",
	+ " // offset() returns the position of the element relative to the document\n",
	+ " var x = e.pageX - $(targ).offset().left;\n",
	+ " var y = e.pageY - $(targ).offset().top;\n",
	+ "\n",
	+ " return {\"x\": x, \"y\": y};\n",
	+ "};\n",
	+ "\n",
	+ "/*\n",
	+ " * return a copy of an object with only non-object keys\n",
	+ " * we need this to avoid circular references\n",
	+ " * http://stackoverflow.com/a/24161582/3208463\n",
	+ " */\n",
	+ "function simpleKeys (original) {\n",
	+ " return Object.keys(original).reduce(function (obj, key) {\n",
	+ " if (typeof original[key] !== 'object')\n",
	+ " obj[key] = original[key]\n",
	+ " return obj;\n",
	+ " }, {});\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.mouse_event = function(event, name) {\n",
	+ " var canvas_pos = mpl.findpos(event)\n",
	+ "\n",
	+ " if (name === 'button_press')\n",
	+ " {\n",
	+ " this.canvas.focus();\n",
	+ " this.canvas_div.focus();\n",
	+ " }\n",
	+ "\n",
	+ " var x = canvas_pos.x * mpl.ratio;\n",
	+ " var y = canvas_pos.y * mpl.ratio;\n",
	+ "\n",
	+ " this.send_message(name, {x: x, y: y, button: event.button,\n",
	+ " step: event.step,\n",
	+ " guiEvent: simpleKeys(event)});\n",
	+ "\n",
	+ " /* This prevents the web browser from automatically changing to\n",
	+ " * the text insertion cursor when the button is pressed. We want\n",
	+ " * to control all of the cursor setting manually through the\n",
	+ " * 'cursor' event from matplotlib */\n",
	+ " event.preventDefault();\n",
	+ " return false;\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
	+ " // Handle any extra behaviour associated with a key event\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.key_event = function(event, name) {\n",
	+ "\n",
	+ " // Prevent repeat events\n",
	+ " if (name == 'key_press')\n",
	+ " {\n",
	+ " if (event.which === this._key)\n",
	+ " return;\n",
	+ " else\n",
	+ " this._key = event.which;\n",
	+ " }\n",
	+ " if (name == 'key_release')\n",
	+ " this._key = null;\n",
	+ "\n",
	+ " var value = '';\n",
	+ " if (event.ctrlKey && event.which != 17)\n",
	+ " value += \"ctrl+\";\n",
	+ " if (event.altKey && event.which != 18)\n",
	+ " value += \"alt+\";\n",
	+ " if (event.shiftKey && event.which != 16)\n",
	+ " value += \"shift+\";\n",
	+ "\n",
	+ " value += 'k';\n",
	+ " value += event.which.toString();\n",
	+ "\n",
	+ " this._key_event_extra(event, name);\n",
	+ "\n",
	+ " this.send_message(name, {key: value,\n",
	+ " guiEvent: simpleKeys(event)});\n",
	+ " return false;\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
	+ " if (name == 'download') {\n",
	+ " this.handle_save(this, null);\n",
	+ " } else {\n",
	+ " this.send_message(\"toolbar_button\", {name: name});\n",
	+ " }\n",
	+ "};\n",
	+ "\n",
	+ "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
	+ " this.message.textContent = tooltip;\n",
	+ "};\n",
	+ "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
	+ "\n",
	+ "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
	+ "\n",
	+ "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
	+ " // Create a \"websocket\"-like object which calls the given IPython comm\n",
	+ " // object with the appropriate methods. Currently this is a non binary\n",
	+ " // socket, so there is still some room for performance tuning.\n",
	+ " var ws = {};\n",
	+ "\n",
	+ " ws.close = function() {\n",
	+ " comm.close()\n",
	+ " };\n",
	+ " ws.send = function(m) {\n",
	+ " //console.log('sending', m);\n",
	+ " comm.send(m);\n",
	+ " };\n",
	+ " // Register the callback with on_msg.\n",
	+ " comm.on_msg(function(msg) {\n",
	+ " //console.log('receiving', msg['content']['data'], msg);\n",
	+ " // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
	+ " ws.onmessage(msg['content']['data'])\n",
	+ " });\n",
	+ " return ws;\n",
	+ "}\n",
	+ "\n",
	+ "mpl.mpl_figure_comm = function(comm, msg) {\n",
	+ " // This is the function which gets called when the mpl process\n",
	+ " // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
	+ "\n",
	+ " var id = msg.content.data.id;\n",
	+ " // Get hold of the div created by the display call when the Comm\n",
	+ " // socket was opened in Python.\n",
	+ " var element = $(\"#\" + id);\n",
	+ " var ws_proxy = comm_websocket_adapter(comm)\n",
	+ "\n",
	+ " function ondownload(figure, format) {\n",
	+ " window.open(figure.imageObj.src);\n",
	+ " }\n",
	+ "\n",
	+ " var fig = new mpl.figure(id, ws_proxy,\n",
	+ " ondownload,\n",
	+ " element.get(0));\n",
	+ "\n",
	+ " // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
	+ " // web socket which is closed, not our websocket->open comm proxy.\n",
	+ " ws_proxy.onopen();\n",
	+ "\n",
	+ " fig.parent_element = element.get(0);\n",
	+ " fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
	+ " if (!fig.cell_info) {\n",
	+ " console.error(\"Failed to find cell for figure\", id, fig);\n",
	+ " return;\n",
	+ " }\n",
	+ "\n",
	+ " var output_index = fig.cell_info[2]\n",
	+ " var cell = fig.cell_info[0];\n",
	+ "\n",
	+ "};\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
	+ " var width = fig.canvas.width/mpl.ratio\n",
	+ " fig.root.unbind('remove')\n",
	+ "\n",
	+ " // Update the output cell to use the data from the current canvas.\n",
	+ " fig.push_to_output();\n",
	+ " var dataURL = fig.canvas.toDataURL();\n",
	+ " // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
	+ " // the notebook keyboard shortcuts fail.\n",
	+ " IPython.keyboard_manager.enable()\n",
	+ " $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
	+ " fig.close_ws(fig, msg);\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.close_ws = function(fig, msg){\n",
	+ " fig.send_message('closing', msg);\n",
	+ " // fig.ws.close()\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
	+ " // Turn the data on the canvas into data in the output cell.\n",
	+ " var width = this.canvas.width/mpl.ratio\n",
	+ " var dataURL = this.canvas.toDataURL();\n",
	+ " this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.updated_canvas_event = function() {\n",
	+ " // Tell IPython that the notebook contents must change.\n",
	+ " IPython.notebook.set_dirty(true);\n",
	+ " this.send_message(\"ack\", {});\n",
	+ " var fig = this;\n",
	+ " // Wait a second, then push the new image to the DOM so\n",
	+ " // that it is saved nicely (might be nice to debounce this).\n",
	+ " setTimeout(function () { fig.push_to_output() }, 1000);\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._init_toolbar = function() {\n",
	+ " var fig = this;\n",
	+ "\n",
	+ " var nav_element = $('<div/>')\n",
	+ " nav_element.attr('style', 'width: 100%');\n",
	+ " this.root.append(nav_element);\n",
	+ "\n",
	+ " // Define a callback function for later on.\n",
	+ " function toolbar_event(event) {\n",
	+ " return fig.toolbar_button_onclick(event['data']);\n",
	+ " }\n",
	+ " function toolbar_mouse_event(event) {\n",
	+ " return fig.toolbar_button_onmouseover(event['data']);\n",
	+ " }\n",
	+ "\n",
	+ " for(var toolbar_ind in mpl.toolbar_items){\n",
	+ " var name = mpl.toolbar_items[toolbar_ind][0];\n",
	+ " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
	+ " var image = mpl.toolbar_items[toolbar_ind][2];\n",
	+ " var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
	+ "\n",
	+ " if (!name) { continue; };\n",
	+ "\n",
	+ " var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
	+ " button.click(method_name, toolbar_event);\n",
	+ " button.mouseover(tooltip, toolbar_mouse_event);\n",
	+ " nav_element.append(button);\n",
	+ " }\n",
	+ "\n",
	+ " // Add the status bar.\n",
	+ " var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
	+ " nav_element.append(status_bar);\n",
	+ " this.message = status_bar[0];\n",
	+ "\n",
	+ " // Add the close button to the window.\n",
	+ " var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
	+ " var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
	+ " button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
	+ " button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
	+ " buttongrp.append(button);\n",
	+ " var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
	+ " titlebar.prepend(buttongrp);\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._root_extra_style = function(el){\n",
	+ " var fig = this\n",
	+ " el.on(\"remove\", function(){\n",
	+ "\tfig.close_ws(fig, {});\n",
	+ " });\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._canvas_extra_style = function(el){\n",
	+ " // this is important to make the div 'focusable\n",
	+ " el.attr('tabindex', 0)\n",
	+ " // reach out to IPython and tell the keyboard manager to turn it's self\n",
	+ " // off when our div gets focus\n",
	+ "\n",
	+ " // location in version 3\n",
	+ " if (IPython.notebook.keyboard_manager) {\n",
	+ " IPython.notebook.keyboard_manager.register_events(el);\n",
	+ " }\n",
	+ " else {\n",
	+ " // location in version 2\n",
	+ " IPython.keyboard_manager.register_events(el);\n",
	+ " }\n",
	+ "\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
	+ " var manager = IPython.notebook.keyboard_manager;\n",
	+ " if (!manager)\n",
	+ " manager = IPython.keyboard_manager;\n",
	+ "\n",
	+ " // Check for shift+enter\n",
	+ " if (event.shiftKey && event.which == 13) {\n",
	+ " this.canvas_div.blur();\n",
	+ " event.shiftKey = false;\n",
	+ " // Send a \"J\" for go to next cell\n",
	+ " event.which = 74;\n",
	+ " event.keyCode = 74;\n",
	+ " manager.command_mode();\n",
	+ " manager.handle_keydown(event);\n",
	+ " }\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
	+ " fig.ondownload(fig, null);\n",
	+ "}\n",
	+ "\n",
	+ "\n",
	+ "mpl.find_output_cell = function(html_output) {\n",
	+ " // Return the cell and output element which can be found uniquely in the notebook.\n",
	+ " // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
	+ " // IPython event is triggered only after the cells have been serialised, which for\n",
	+ " // our purposes (turning an active figure into a static one), is too late.\n",
	+ " var cells = IPython.notebook.get_cells();\n",
	+ " var ncells = cells.length;\n",
	+ " for (var i=0; i<ncells; i++) {\n",
	+ " var cell = cells[i];\n",
	+ " if (cell.cell_type === 'code'){\n",
	+ " for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
	+ " var data = cell.output_area.outputs[j];\n",
	+ " if (data.data) {\n",
	+ " // IPython >= 3 moved mimebundle to data attribute of output\n",
	+ " data = data.data;\n",
	+ " }\n",
	+ " if (data['text/html'] == html_output) {\n",
	+ " return [cell, data, j];\n",
	+ " }\n",
	+ " }\n",
	+ " }\n",
	+ " }\n",
	+ "}\n",
	+ "\n",
	+ "// Register the function which deals with the matplotlib target/channel.\n",
	+ "// The kernel may be null if the page has been refreshed.\n",
	+ "if (IPython.notebook.kernel != null) {\n",
	+ " IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
	+ "}\n"
	+ ],
	+ "text/plain": [
	+ "<IPython.core.display.Javascript object>"
	+ ]
	+ },
	+ "metadata": {},
	+ "output_type": "display_data"
	+ },
	+ {
	+ "data": {
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\" width=\"640\">"
	+ ],
	+ "text/plain": [
	+ "<IPython.core.display.HTML object>"
	+ ]
	+ },
	+ "metadata": {},
	+ "output_type": "display_data"
	+ }
	+ ],
	+ "source": [
	+ "plt.figure()\n",
	+ "bins=20\n",
	+ "plt.hist(learning_table.available_area_ratio,bins=bins, range=(0,1), density=True, facecolor='r', alpha=0.2, edgecolor='r', label = 'Available area ratio')\n",
	+ "plt.hist(y, bins=bins, range=(0,1), density=True, facecolor='b', alpha=0.2, edgecolor='b', label = 'training')\n",
	+ "plt.hist(y_val, bins=bins, range=(0,1), density=True, facecolor='g', alpha=0.2, edgecolor='g', label = 'RF - validation')\n",
	+ "plt.legend()\n",
	+ "plt.title('Distribution of predicted data')\n",
	+ "plt.show()"
	+ ]
	+ },
	+ {
	+ "cell_type": "markdown",
	+ "metadata": {},
	+ "source": [
	+ "### Plot random sample\n",
	+ "Plot original value and corrected value for different roof IDs (random)"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 60,
	+ "metadata": {},
	+ "outputs": [],
	+ "source": [
	+ "validation['prediction'] = ( 1 - y_val[:,0] ) * y_val[:,1]\n",
	+ "validation_sample = validation.sample(30)"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 61,
	+ "metadata": {},
	+ "outputs": [
	+ {
	+ "data": {
	+ "text/plain": [
	+ "Index(['DF_UID', 'FLAECHE', 'NEIGUNG', 'AUSRICHTUNG', 'XCOORD', 'YCOORD',\n",
	+ " 'Shape_Length', 'Shape_Area', 'GWR_EGID', 'GBAUP', 'GKAT', 'GAREA',\n",
	+ " 'GASTW', 'GKODX', 'GKODY', 'Shape_Ratio', 'n_neighbors_100',\n",
	+ " 'Estim_build_area', 'n_corners', 'panel_tilt', 'best_align',\n",
	+ " 'panelled_area_ratio_ftr', 'panelled_area_ratio_tgt',\n",
	+ " 'shaded_area_ratio_ftr', 'shaded_area_ratio_tgt', 'tilt_cat',\n",
	+ " 'orientation_cat', 'available_area_ratio', 'prediction'],\n",
	+ " dtype='object')"
	+ ]
	+ },
	+ "execution_count": 61,
	+ "metadata": {},
	+ "output_type": "execute_result"
	+ }
	+ ],
	+ "source": [
	+ "validation_sample.columns"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 62,
	+ "metadata": {},
	+ "outputs": [
	+ {
	+ "data": {
	+ "application/javascript": [
	+ "/* Put everything inside the global mpl namespace */\n",
	+ "window.mpl = {};\n",
	+ "\n",
	+ "\n",
	+ "mpl.get_websocket_type = function() {\n",
	+ " if (typeof(WebSocket) !== 'undefined') {\n",
	+ " return WebSocket;\n",
	+ " } else if (typeof(MozWebSocket) !== 'undefined') {\n",
	+ " return MozWebSocket;\n",
	+ " } else {\n",
	+ " alert('Your browser does not have WebSocket support.' +\n",
	+ " 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
	+ " 'Firefox 4 and 5 are also supported but you ' +\n",
	+ " 'have to enable WebSockets in about:config.');\n",
	+ " };\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
	+ " this.id = figure_id;\n",
	+ "\n",
	+ " this.ws = websocket;\n",
	+ "\n",
	+ " this.supports_binary = (this.ws.binaryType != undefined);\n",
	+ "\n",
	+ " if (!this.supports_binary) {\n",
	+ " var warnings = document.getElementById(\"mpl-warnings\");\n",
	+ " if (warnings) {\n",
	+ " warnings.style.display = 'block';\n",
	+ " warnings.textContent = (\n",
	+ " \"This browser does not support binary websocket messages. \" +\n",
	+ " \"Performance may be slow.\");\n",
	+ " }\n",
	+ " }\n",
	+ "\n",
	+ " this.imageObj = new Image();\n",
	+ "\n",
	+ " this.context = undefined;\n",
	+ " this.message = undefined;\n",
	+ " this.canvas = undefined;\n",
	+ " this.rubberband_canvas = undefined;\n",
	+ " this.rubberband_context = undefined;\n",
	+ " this.format_dropdown = undefined;\n",
	+ "\n",
	+ " this.image_mode = 'full';\n",
	+ "\n",
	+ " this.root = $('<div/>');\n",
	+ " this._root_extra_style(this.root)\n",
	+ " this.root.attr('style', 'display: inline-block');\n",
	+ "\n",
	+ " $(parent_element).append(this.root);\n",
	+ "\n",
	+ " this._init_header(this);\n",
	+ " this._init_canvas(this);\n",
	+ " this._init_toolbar(this);\n",
	+ "\n",
	+ " var fig = this;\n",
	+ "\n",
	+ " this.waiting = false;\n",
	+ "\n",
	+ " this.ws.onopen = function () {\n",
	+ " fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
	+ " fig.send_message(\"send_image_mode\", {});\n",
	+ " if (mpl.ratio != 1) {\n",
	+ " fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
	+ " }\n",
	+ " fig.send_message(\"refresh\", {});\n",
	+ " }\n",
	+ "\n",
	+ " this.imageObj.onload = function() {\n",
	+ " if (fig.image_mode == 'full') {\n",
	+ " // Full images could contain transparency (where diff images\n",
	+ " // almost always do), so we need to clear the canvas so that\n",
	+ " // there is no ghosting.\n",
	+ " fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
	+ " }\n",
	+ " fig.context.drawImage(fig.imageObj, 0, 0);\n",
	+ " };\n",
	+ "\n",
	+ " this.imageObj.onunload = function() {\n",
	+ " fig.ws.close();\n",
	+ " }\n",
	+ "\n",
	+ " this.ws.onmessage = this._make_on_message_function(this);\n",
	+ "\n",
	+ " this.ondownload = ondownload;\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._init_header = function() {\n",
	+ " var titlebar = $(\n",
	+ " '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
	+ " 'ui-helper-clearfix\"/>');\n",
	+ " var titletext = $(\n",
	+ " '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
	+ " 'text-align: center; padding: 3px;\"/>');\n",
	+ " titlebar.append(titletext)\n",
	+ " this.root.append(titlebar);\n",
	+ " this.header = titletext[0];\n",
	+ "}\n",
	+ "\n",
	+ "\n",
	+ "\n",
	+ "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
	+ "\n",
	+ "}\n",
	+ "\n",
	+ "\n",
	+ "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
	+ "\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._init_canvas = function() {\n",
	+ " var fig = this;\n",
	+ "\n",
	+ " var canvas_div = $('<div/>');\n",
	+ "\n",
	+ " canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
	+ "\n",
	+ " function canvas_keyboard_event(event) {\n",
	+ " return fig.key_event(event, event['data']);\n",
	+ " }\n",
	+ "\n",
	+ " canvas_div.keydown('key_press', canvas_keyboard_event);\n",
	+ " canvas_div.keyup('key_release', canvas_keyboard_event);\n",
	+ " this.canvas_div = canvas_div\n",
	+ " this._canvas_extra_style(canvas_div)\n",
	+ " this.root.append(canvas_div);\n",
	+ "\n",
	+ " var canvas = $('<canvas/>');\n",
	+ " canvas.addClass('mpl-canvas');\n",
	+ " canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
	+ "\n",
	+ " this.canvas = canvas[0];\n",
	+ " this.context = canvas[0].getContext(\"2d\");\n",
	+ "\n",
	+ " var backingStore = this.context.backingStorePixelRatio \|\|\n",
	+ "\tthis.context.webkitBackingStorePixelRatio \|\|\n",
	+ "\tthis.context.mozBackingStorePixelRatio \|\|\n",
	+ "\tthis.context.msBackingStorePixelRatio \|\|\n",
	+ "\tthis.context.oBackingStorePixelRatio \|\|\n",
	+ "\tthis.context.backingStorePixelRatio \|\| 1;\n",
	+ "\n",
	+ " mpl.ratio = (window.devicePixelRatio \|\| 1) / backingStore;\n",
	+ "\n",
	+ " var rubberband = $('<canvas/>');\n",
	+ " rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
	+ "\n",
	+ " var pass_mouse_events = true;\n",
	+ "\n",
	+ " canvas_div.resizable({\n",
	+ " start: function(event, ui) {\n",
	+ " pass_mouse_events = false;\n",
	+ " },\n",
	+ " resize: function(event, ui) {\n",
	+ " fig.request_resize(ui.size.width, ui.size.height);\n",
	+ " },\n",
	+ " stop: function(event, ui) {\n",
	+ " pass_mouse_events = true;\n",
	+ " fig.request_resize(ui.size.width, ui.size.height);\n",
	+ " },\n",
	+ " });\n",
	+ "\n",
	+ " function mouse_event_fn(event) {\n",
	+ " if (pass_mouse_events)\n",
	+ " return fig.mouse_event(event, event['data']);\n",
	+ " }\n",
	+ "\n",
	+ " rubberband.mousedown('button_press', mouse_event_fn);\n",
	+ " rubberband.mouseup('button_release', mouse_event_fn);\n",
	+ " // Throttle sequential mouse events to 1 every 20ms.\n",
	+ " rubberband.mousemove('motion_notify', mouse_event_fn);\n",
	+ "\n",
	+ " rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
	+ " rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
	+ "\n",
	+ " canvas_div.on(\"wheel\", function (event) {\n",
	+ " event = event.originalEvent;\n",
	+ " event['data'] = 'scroll'\n",
	+ " if (event.deltaY < 0) {\n",
	+ " event.step = 1;\n",
	+ " } else {\n",
	+ " event.step = -1;\n",
	+ " }\n",
	+ " mouse_event_fn(event);\n",
	+ " });\n",
	+ "\n",
	+ " canvas_div.append(canvas);\n",
	+ " canvas_div.append(rubberband);\n",
	+ "\n",
	+ " this.rubberband = rubberband;\n",
	+ " this.rubberband_canvas = rubberband[0];\n",
	+ " this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
	+ " this.rubberband_context.strokeStyle = \"#000000\";\n",
	+ "\n",
	+ " this._resize_canvas = function(width, height) {\n",
	+ " // Keep the size of the canvas, canvas container, and rubber band\n",
	+ " // canvas in synch.\n",
	+ " canvas_div.css('width', width)\n",
	+ " canvas_div.css('height', height)\n",
	+ "\n",
	+ " canvas.attr('width', width * mpl.ratio);\n",
	+ " canvas.attr('height', height * mpl.ratio);\n",
	+ " canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
	+ "\n",
	+ " rubberband.attr('width', width);\n",
	+ " rubberband.attr('height', height);\n",
	+ " }\n",
	+ "\n",
	+ " // Set the figure to an initial 600x600px, this will subsequently be updated\n",
	+ " // upon first draw.\n",
	+ " this._resize_canvas(600, 600);\n",
	+ "\n",
	+ " // Disable right mouse context menu.\n",
	+ " $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
	+ " return false;\n",
	+ " });\n",
	+ "\n",
	+ " function set_focus () {\n",
	+ " canvas.focus();\n",
	+ " canvas_div.focus();\n",
	+ " }\n",
	+ "\n",
	+ " window.setTimeout(set_focus, 100);\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._init_toolbar = function() {\n",
	+ " var fig = this;\n",
	+ "\n",
	+ " var nav_element = $('<div/>')\n",
	+ " nav_element.attr('style', 'width: 100%');\n",
	+ " this.root.append(nav_element);\n",
	+ "\n",
	+ " // Define a callback function for later on.\n",
	+ " function toolbar_event(event) {\n",
	+ " return fig.toolbar_button_onclick(event['data']);\n",
	+ " }\n",
	+ " function toolbar_mouse_event(event) {\n",
	+ " return fig.toolbar_button_onmouseover(event['data']);\n",
	+ " }\n",
	+ "\n",
	+ " for(var toolbar_ind in mpl.toolbar_items) {\n",
	+ " var name = mpl.toolbar_items[toolbar_ind][0];\n",
	+ " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
	+ " var image = mpl.toolbar_items[toolbar_ind][2];\n",
	+ " var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
	+ "\n",
	+ " if (!name) {\n",
	+ " // put a spacer in here.\n",
	+ " continue;\n",
	+ " }\n",
	+ " var button = $('<button/>');\n",
	+ " button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
	+ " 'ui-button-icon-only');\n",
	+ " button.attr('role', 'button');\n",
	+ " button.attr('aria-disabled', 'false');\n",
	+ " button.click(method_name, toolbar_event);\n",
	+ " button.mouseover(tooltip, toolbar_mouse_event);\n",
	+ "\n",
	+ " var icon_img = $('<span/>');\n",
	+ " icon_img.addClass('ui-button-icon-primary ui-icon');\n",
	+ " icon_img.addClass(image);\n",
	+ " icon_img.addClass('ui-corner-all');\n",
	+ "\n",
	+ " var tooltip_span = $('<span/>');\n",
	+ " tooltip_span.addClass('ui-button-text');\n",
	+ " tooltip_span.html(tooltip);\n",
	+ "\n",
	+ " button.append(icon_img);\n",
	+ " button.append(tooltip_span);\n",
	+ "\n",
	+ " nav_element.append(button);\n",
	+ " }\n",
	+ "\n",
	+ " var fmt_picker_span = $('<span/>');\n",
	+ "\n",
	+ " var fmt_picker = $('<select/>');\n",
	+ " fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
	+ " fmt_picker_span.append(fmt_picker);\n",
	+ " nav_element.append(fmt_picker_span);\n",
	+ " this.format_dropdown = fmt_picker[0];\n",
	+ "\n",
	+ " for (var ind in mpl.extensions) {\n",
	+ " var fmt = mpl.extensions[ind];\n",
	+ " var option = $(\n",
	+ " '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
	+ " fmt_picker.append(option)\n",
	+ " }\n",
	+ "\n",
	+ " // Add hover states to the ui-buttons\n",
	+ " $( \".ui-button\" ).hover(\n",
	+ " function() { $(this).addClass(\"ui-state-hover\");},\n",
	+ " function() { $(this).removeClass(\"ui-state-hover\");}\n",
	+ " );\n",
	+ "\n",
	+ " var status_bar = $('<span class=\"mpl-message\"/>');\n",
	+ " nav_element.append(status_bar);\n",
	+ " this.message = status_bar[0];\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
	+ " // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
	+ " // which will in turn request a refresh of the image.\n",
	+ " this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.send_message = function(type, properties) {\n",
	+ " properties['type'] = type;\n",
	+ " properties['figure_id'] = this.id;\n",
	+ " this.ws.send(JSON.stringify(properties));\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.send_draw_message = function() {\n",
	+ " if (!this.waiting) {\n",
	+ " this.waiting = true;\n",
	+ " this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
	+ " }\n",
	+ "}\n",
	+ "\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
	+ " var format_dropdown = fig.format_dropdown;\n",
	+ " var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
	+ " fig.ondownload(fig, format);\n",
	+ "}\n",
	+ "\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
	+ " var size = msg['size'];\n",
	+ " if (size[0] != fig.canvas.width \|\| size[1] != fig.canvas.height) {\n",
	+ " fig._resize_canvas(size[0], size[1]);\n",
	+ " fig.send_message(\"refresh\", {});\n",
	+ " };\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
	+ " var x0 = msg['x0'] / mpl.ratio;\n",
	+ " var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
	+ " var x1 = msg['x1'] / mpl.ratio;\n",
	+ " var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
	+ " x0 = Math.floor(x0) + 0.5;\n",
	+ " y0 = Math.floor(y0) + 0.5;\n",
	+ " x1 = Math.floor(x1) + 0.5;\n",
	+ " y1 = Math.floor(y1) + 0.5;\n",
	+ " var min_x = Math.min(x0, x1);\n",
	+ " var min_y = Math.min(y0, y1);\n",
	+ " var width = Math.abs(x1 - x0);\n",
	+ " var height = Math.abs(y1 - y0);\n",
	+ "\n",
	+ " fig.rubberband_context.clearRect(\n",
	+ " 0, 0, fig.canvas.width, fig.canvas.height);\n",
	+ "\n",
	+ " fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
	+ " // Updates the figure title.\n",
	+ " fig.header.textContent = msg['label'];\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
	+ " var cursor = msg['cursor'];\n",
	+ " switch(cursor)\n",
	+ " {\n",
	+ " case 0:\n",
	+ " cursor = 'pointer';\n",
	+ " break;\n",
	+ " case 1:\n",
	+ " cursor = 'default';\n",
	+ " break;\n",
	+ " case 2:\n",
	+ " cursor = 'crosshair';\n",
	+ " break;\n",
	+ " case 3:\n",
	+ " cursor = 'move';\n",
	+ " break;\n",
	+ " }\n",
	+ " fig.rubberband_canvas.style.cursor = cursor;\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
	+ " fig.message.textContent = msg['message'];\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
	+ " // Request the server to send over a new figure.\n",
	+ " fig.send_draw_message();\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
	+ " fig.image_mode = msg['mode'];\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.updated_canvas_event = function() {\n",
	+ " // Called whenever the canvas gets updated.\n",
	+ " this.send_message(\"ack\", {});\n",
	+ "}\n",
	+ "\n",
	+ "// A function to construct a web socket function for onmessage handling.\n",
	+ "// Called in the figure constructor.\n",
	+ "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
	+ " return function socket_on_message(evt) {\n",
	+ " if (evt.data instanceof Blob) {\n",
	+ " /* FIXME: We get \"Resource interpreted as Image but\n",
	+ " * transferred with MIME type text/plain:\" errors on\n",
	+ " * Chrome. But how to set the MIME type? It doesn't seem\n",
	+ " * to be part of the websocket stream */\n",
	+ " evt.data.type = \"image/png\";\n",
	+ "\n",
	+ " /* Free the memory for the previous frames */\n",
	+ " if (fig.imageObj.src) {\n",
	+ " (window.URL \|\| window.webkitURL).revokeObjectURL(\n",
	+ " fig.imageObj.src);\n",
	+ " }\n",
	+ "\n",
	+ " fig.imageObj.src = (window.URL \|\| window.webkitURL).createObjectURL(\n",
	+ " evt.data);\n",
	+ " fig.updated_canvas_event();\n",
	+ " fig.waiting = false;\n",
	+ " return;\n",
	+ " }\n",
	+ " else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
	+ " fig.imageObj.src = evt.data;\n",
	+ " fig.updated_canvas_event();\n",
	+ " fig.waiting = false;\n",
	+ " return;\n",
	+ " }\n",
	+ "\n",
	+ " var msg = JSON.parse(evt.data);\n",
	+ " var msg_type = msg['type'];\n",
	+ "\n",
	+ " // Call the \"handle_{type}\" callback, which takes\n",
	+ " // the figure and JSON message as its only arguments.\n",
	+ " try {\n",
	+ " var callback = fig[\"handle_\" + msg_type];\n",
	+ " } catch (e) {\n",
	+ " console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
	+ " return;\n",
	+ " }\n",
	+ "\n",
	+ " if (callback) {\n",
	+ " try {\n",
	+ " // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
	+ " callback(fig, msg);\n",
	+ " } catch (e) {\n",
	+ " console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
	+ " }\n",
	+ " }\n",
	+ " };\n",
	+ "}\n",
	+ "\n",
	+ "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
	+ "mpl.findpos = function(e) {\n",
	+ " //this section is from http://www.quirksmode.org/js/events_properties.html\n",
	+ " var targ;\n",
	+ " if (!e)\n",
	+ " e = window.event;\n",
	+ " if (e.target)\n",
	+ " targ = e.target;\n",
	+ " else if (e.srcElement)\n",
	+ " targ = e.srcElement;\n",
	+ " if (targ.nodeType == 3) // defeat Safari bug\n",
	+ " targ = targ.parentNode;\n",
	+ "\n",
	+ " // jQuery normalizes the pageX and pageY\n",
	+ " // pageX,Y are the mouse positions relative to the document\n",
	+ " // offset() returns the position of the element relative to the document\n",
	+ " var x = e.pageX - $(targ).offset().left;\n",
	+ " var y = e.pageY - $(targ).offset().top;\n",
	+ "\n",
	+ " return {\"x\": x, \"y\": y};\n",
	+ "};\n",
	+ "\n",
	+ "/*\n",
	+ " * return a copy of an object with only non-object keys\n",
	+ " * we need this to avoid circular references\n",
	+ " * http://stackoverflow.com/a/24161582/3208463\n",
	+ " */\n",
	+ "function simpleKeys (original) {\n",
	+ " return Object.keys(original).reduce(function (obj, key) {\n",
	+ " if (typeof original[key] !== 'object')\n",
	+ " obj[key] = original[key]\n",
	+ " return obj;\n",
	+ " }, {});\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.mouse_event = function(event, name) {\n",
	+ " var canvas_pos = mpl.findpos(event)\n",
	+ "\n",
	+ " if (name === 'button_press')\n",
	+ " {\n",
	+ " this.canvas.focus();\n",
	+ " this.canvas_div.focus();\n",
	+ " }\n",
	+ "\n",
	+ " var x = canvas_pos.x * mpl.ratio;\n",
	+ " var y = canvas_pos.y * mpl.ratio;\n",
	+ "\n",
	+ " this.send_message(name, {x: x, y: y, button: event.button,\n",
	+ " step: event.step,\n",
	+ " guiEvent: simpleKeys(event)});\n",
	+ "\n",
	+ " /* This prevents the web browser from automatically changing to\n",
	+ " * the text insertion cursor when the button is pressed. We want\n",
	+ " * to control all of the cursor setting manually through the\n",
	+ " * 'cursor' event from matplotlib */\n",
	+ " event.preventDefault();\n",
	+ " return false;\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
	+ " // Handle any extra behaviour associated with a key event\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.key_event = function(event, name) {\n",
	+ "\n",
	+ " // Prevent repeat events\n",
	+ " if (name == 'key_press')\n",
	+ " {\n",
	+ " if (event.which === this._key)\n",
	+ " return;\n",
	+ " else\n",
	+ " this._key = event.which;\n",
	+ " }\n",
	+ " if (name == 'key_release')\n",
	+ " this._key = null;\n",
	+ "\n",
	+ " var value = '';\n",
	+ " if (event.ctrlKey && event.which != 17)\n",
	+ " value += \"ctrl+\";\n",
	+ " if (event.altKey && event.which != 18)\n",
	+ " value += \"alt+\";\n",
	+ " if (event.shiftKey && event.which != 16)\n",
	+ " value += \"shift+\";\n",
	+ "\n",
	+ " value += 'k';\n",
	+ " value += event.which.toString();\n",
	+ "\n",
	+ " this._key_event_extra(event, name);\n",
	+ "\n",
	+ " this.send_message(name, {key: value,\n",
	+ " guiEvent: simpleKeys(event)});\n",
	+ " return false;\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
	+ " if (name == 'download') {\n",
	+ " this.handle_save(this, null);\n",
	+ " } else {\n",
	+ " this.send_message(\"toolbar_button\", {name: name});\n",
	+ " }\n",
	+ "};\n",
	+ "\n",
	+ "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
	+ " this.message.textContent = tooltip;\n",
	+ "};\n",
	+ "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
	+ "\n",
	+ "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
	+ "\n",
	+ "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
	+ " // Create a \"websocket\"-like object which calls the given IPython comm\n",
	+ " // object with the appropriate methods. Currently this is a non binary\n",
	+ " // socket, so there is still some room for performance tuning.\n",
	+ " var ws = {};\n",
	+ "\n",
	+ " ws.close = function() {\n",
	+ " comm.close()\n",
	+ " };\n",
	+ " ws.send = function(m) {\n",
	+ " //console.log('sending', m);\n",
	+ " comm.send(m);\n",
	+ " };\n",
	+ " // Register the callback with on_msg.\n",
	+ " comm.on_msg(function(msg) {\n",
	+ " //console.log('receiving', msg['content']['data'], msg);\n",
	+ " // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
	+ " ws.onmessage(msg['content']['data'])\n",
	+ " });\n",
	+ " return ws;\n",
	+ "}\n",
	+ "\n",
	+ "mpl.mpl_figure_comm = function(comm, msg) {\n",
	+ " // This is the function which gets called when the mpl process\n",
	+ " // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
	+ "\n",
	+ " var id = msg.content.data.id;\n",
	+ " // Get hold of the div created by the display call when the Comm\n",
	+ " // socket was opened in Python.\n",
	+ " var element = $(\"#\" + id);\n",
	+ " var ws_proxy = comm_websocket_adapter(comm)\n",
	+ "\n",
	+ " function ondownload(figure, format) {\n",
	+ " window.open(figure.imageObj.src);\n",
	+ " }\n",
	+ "\n",
	+ " var fig = new mpl.figure(id, ws_proxy,\n",
	+ " ondownload,\n",
	+ " element.get(0));\n",
	+ "\n",
	+ " // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
	+ " // web socket which is closed, not our websocket->open comm proxy.\n",
	+ " ws_proxy.onopen();\n",
	+ "\n",
	+ " fig.parent_element = element.get(0);\n",
	+ " fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
	+ " if (!fig.cell_info) {\n",
	+ " console.error(\"Failed to find cell for figure\", id, fig);\n",
	+ " return;\n",
	+ " }\n",
	+ "\n",
	+ " var output_index = fig.cell_info[2]\n",
	+ " var cell = fig.cell_info[0];\n",
	+ "\n",
	+ "};\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
	+ " var width = fig.canvas.width/mpl.ratio\n",
	+ " fig.root.unbind('remove')\n",
	+ "\n",
	+ " // Update the output cell to use the data from the current canvas.\n",
	+ " fig.push_to_output();\n",
	+ " var dataURL = fig.canvas.toDataURL();\n",
	+ " // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
	+ " // the notebook keyboard shortcuts fail.\n",
	+ " IPython.keyboard_manager.enable()\n",
	+ " $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
	+ " fig.close_ws(fig, msg);\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.close_ws = function(fig, msg){\n",
	+ " fig.send_message('closing', msg);\n",
	+ " // fig.ws.close()\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
	+ " // Turn the data on the canvas into data in the output cell.\n",
	+ " var width = this.canvas.width/mpl.ratio\n",
	+ " var dataURL = this.canvas.toDataURL();\n",
	+ " this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.updated_canvas_event = function() {\n",
	+ " // Tell IPython that the notebook contents must change.\n",
	+ " IPython.notebook.set_dirty(true);\n",
	+ " this.send_message(\"ack\", {});\n",
	+ " var fig = this;\n",
	+ " // Wait a second, then push the new image to the DOM so\n",
	+ " // that it is saved nicely (might be nice to debounce this).\n",
	+ " setTimeout(function () { fig.push_to_output() }, 1000);\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._init_toolbar = function() {\n",
	+ " var fig = this;\n",
	+ "\n",
	+ " var nav_element = $('<div/>')\n",
	+ " nav_element.attr('style', 'width: 100%');\n",
	+ " this.root.append(nav_element);\n",
	+ "\n",
	+ " // Define a callback function for later on.\n",
	+ " function toolbar_event(event) {\n",
	+ " return fig.toolbar_button_onclick(event['data']);\n",
	+ " }\n",
	+ " function toolbar_mouse_event(event) {\n",
	+ " return fig.toolbar_button_onmouseover(event['data']);\n",
	+ " }\n",
	+ "\n",
	+ " for(var toolbar_ind in mpl.toolbar_items){\n",
	+ " var name = mpl.toolbar_items[toolbar_ind][0];\n",
	+ " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
	+ " var image = mpl.toolbar_items[toolbar_ind][2];\n",
	+ " var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
	+ "\n",
	+ " if (!name) { continue; };\n",
	+ "\n",
	+ " var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
	+ " button.click(method_name, toolbar_event);\n",
	+ " button.mouseover(tooltip, toolbar_mouse_event);\n",
	+ " nav_element.append(button);\n",
	+ " }\n",
	+ "\n",
	+ " // Add the status bar.\n",
	+ " var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
	+ " nav_element.append(status_bar);\n",
	+ " this.message = status_bar[0];\n",
	+ "\n",
	+ " // Add the close button to the window.\n",
	+ " var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
	+ " var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
	+ " button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
	+ " button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
	+ " buttongrp.append(button);\n",
	+ " var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
	+ " titlebar.prepend(buttongrp);\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._root_extra_style = function(el){\n",
	+ " var fig = this\n",
	+ " el.on(\"remove\", function(){\n",
	+ "\tfig.close_ws(fig, {});\n",
	+ " });\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._canvas_extra_style = function(el){\n",
	+ " // this is important to make the div 'focusable\n",
	+ " el.attr('tabindex', 0)\n",
	+ " // reach out to IPython and tell the keyboard manager to turn it's self\n",
	+ " // off when our div gets focus\n",
	+ "\n",
	+ " // location in version 3\n",
	+ " if (IPython.notebook.keyboard_manager) {\n",
	+ " IPython.notebook.keyboard_manager.register_events(el);\n",
	+ " }\n",
	+ " else {\n",
	+ " // location in version 2\n",
	+ " IPython.keyboard_manager.register_events(el);\n",
	+ " }\n",
	+ "\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
	+ " var manager = IPython.notebook.keyboard_manager;\n",
	+ " if (!manager)\n",
	+ " manager = IPython.keyboard_manager;\n",
	+ "\n",
	+ " // Check for shift+enter\n",
	+ " if (event.shiftKey && event.which == 13) {\n",
	+ " this.canvas_div.blur();\n",
	+ " event.shiftKey = false;\n",
	+ " // Send a \"J\" for go to next cell\n",
	+ " event.which = 74;\n",
	+ " event.keyCode = 74;\n",
	+ " manager.command_mode();\n",
	+ " manager.handle_keydown(event);\n",
	+ " }\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
	+ " fig.ondownload(fig, null);\n",
	+ "}\n",
	+ "\n",
	+ "\n",
	+ "mpl.find_output_cell = function(html_output) {\n",
	+ " // Return the cell and output element which can be found uniquely in the notebook.\n",
	+ " // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
	+ " // IPython event is triggered only after the cells have been serialised, which for\n",
	+ " // our purposes (turning an active figure into a static one), is too late.\n",
	+ " var cells = IPython.notebook.get_cells();\n",
	+ " var ncells = cells.length;\n",
	+ " for (var i=0; i<ncells; i++) {\n",
	+ " var cell = cells[i];\n",
	+ " if (cell.cell_type === 'code'){\n",
	+ " for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
	+ " var data = cell.output_area.outputs[j];\n",
	+ " if (data.data) {\n",
	+ " // IPython >= 3 moved mimebundle to data attribute of output\n",
	+ " data = data.data;\n",
	+ " }\n",
	+ " if (data['text/html'] == html_output) {\n",
	+ " return [cell, data, j];\n",
	+ " }\n",
	+ " }\n",
	+ " }\n",
	+ " }\n",
	+ "}\n",
	+ "\n",
	+ "// Register the function which deals with the matplotlib target/channel.\n",
	+ "// The kernel may be null if the page has been refreshed.\n",
	+ "if (IPython.notebook.kernel != null) {\n",
	+ " IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
	+ "}\n"
	+ ],
	+ "text/plain": [
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	+ {
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\" width=\"640\">"
	+ ],
	+ "text/plain": [
	+ "<IPython.core.display.HTML object>"
	+ ]
	+ },
	+ "metadata": {},
	+ "output_type": "display_data"
	+ },
	+ {
	+ "data": {
	+ "text/plain": [
	+ "Text(0.5,1,'Performance of available area ratio estimation')"
	+ ]
	+ },
	+ "execution_count": 62,
	+ "metadata": {},
	+ "output_type": "execute_result"
	+ }
	+ ],
	+ "source": [
	+ "plt.figure()\n",
	+ "plt.scatter(range(len(validation_sample)), (1-validation_sample.shaded_area_ratio_ftr) * validation_sample.panelled_area_ratio_ftr, facecolor='w',edgecolor='r', alpha=0.7, label = 'Approx. ratio')\n",
	+ "plt.scatter(range(len(validation_sample)), validation_sample.available_area_ratio,facecolor='g', alpha=0.5, edgecolor='g', label = 'Target ratio')\n",
	+ "plt.scatter(range(len(validation_sample)), validation_sample.prediction,facecolor='b', alpha=0.5, edgecolor='b', label = 'Corrected ratio')\n",
	+ "plt.legend()\n",
	+ "plt.xlabel('Rooftop sample (random)')\n",
	+ "plt.ylabel('Available area ratio')\n",
	+ "plt.title('Performance of available area ratio estimation')\n",
	+ "# plt.savefig('random_sample_available_area.png', dpi=300)"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 32,
	+ "metadata": {},
	+ "outputs": [
	+ {
	+ "data": {
	+ "application/javascript": [
	+ "/* Put everything inside the global mpl namespace */\n",
	+ "window.mpl = {};\n",
	+ "\n",
	+ "\n",
	+ "mpl.get_websocket_type = function() {\n",
	+ " if (typeof(WebSocket) !== 'undefined') {\n",
	+ " return WebSocket;\n",
	+ " } else if (typeof(MozWebSocket) !== 'undefined') {\n",
	+ " return MozWebSocket;\n",
	+ " } else {\n",
	+ " alert('Your browser does not have WebSocket support.' +\n",
	+ " 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
	+ " 'Firefox 4 and 5 are also supported but you ' +\n",
	+ " 'have to enable WebSockets in about:config.');\n",
	+ " };\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
	+ " this.id = figure_id;\n",
	+ "\n",
	+ " this.ws = websocket;\n",
	+ "\n",
	+ " this.supports_binary = (this.ws.binaryType != undefined);\n",
	+ "\n",
	+ " if (!this.supports_binary) {\n",
	+ " var warnings = document.getElementById(\"mpl-warnings\");\n",
	+ " if (warnings) {\n",
	+ " warnings.style.display = 'block';\n",
	+ " warnings.textContent = (\n",
	+ " \"This browser does not support binary websocket messages. \" +\n",
	+ " \"Performance may be slow.\");\n",
	+ " }\n",
	+ " }\n",
	+ "\n",
	+ " this.imageObj = new Image();\n",
	+ "\n",
	+ " this.context = undefined;\n",
	+ " this.message = undefined;\n",
	+ " this.canvas = undefined;\n",
	+ " this.rubberband_canvas = undefined;\n",
	+ " this.rubberband_context = undefined;\n",
	+ " this.format_dropdown = undefined;\n",
	+ "\n",
	+ " this.image_mode = 'full';\n",
	+ "\n",
	+ " this.root = $('<div/>');\n",
	+ " this._root_extra_style(this.root)\n",
	+ " this.root.attr('style', 'display: inline-block');\n",
	+ "\n",
	+ " $(parent_element).append(this.root);\n",
	+ "\n",
	+ " this._init_header(this);\n",
	+ " this._init_canvas(this);\n",
	+ " this._init_toolbar(this);\n",
	+ "\n",
	+ " var fig = this;\n",
	+ "\n",
	+ " this.waiting = false;\n",
	+ "\n",
	+ " this.ws.onopen = function () {\n",
	+ " fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
	+ " fig.send_message(\"send_image_mode\", {});\n",
	+ " if (mpl.ratio != 1) {\n",
	+ " fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
	+ " }\n",
	+ " fig.send_message(\"refresh\", {});\n",
	+ " }\n",
	+ "\n",
	+ " this.imageObj.onload = function() {\n",
	+ " if (fig.image_mode == 'full') {\n",
	+ " // Full images could contain transparency (where diff images\n",
	+ " // almost always do), so we need to clear the canvas so that\n",
	+ " // there is no ghosting.\n",
	+ " fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
	+ " }\n",
	+ " fig.context.drawImage(fig.imageObj, 0, 0);\n",
	+ " };\n",
	+ "\n",
	+ " this.imageObj.onunload = function() {\n",
	+ " fig.ws.close();\n",
	+ " }\n",
	+ "\n",
	+ " this.ws.onmessage = this._make_on_message_function(this);\n",
	+ "\n",
	+ " this.ondownload = ondownload;\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._init_header = function() {\n",
	+ " var titlebar = $(\n",
	+ " '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
	+ " 'ui-helper-clearfix\"/>');\n",
	+ " var titletext = $(\n",
	+ " '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
	+ " 'text-align: center; padding: 3px;\"/>');\n",
	+ " titlebar.append(titletext)\n",
	+ " this.root.append(titlebar);\n",
	+ " this.header = titletext[0];\n",
	+ "}\n",
	+ "\n",
	+ "\n",
	+ "\n",
	+ "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
	+ "\n",
	+ "}\n",
	+ "\n",
	+ "\n",
	+ "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
	+ "\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._init_canvas = function() {\n",
	+ " var fig = this;\n",
	+ "\n",
	+ " var canvas_div = $('<div/>');\n",
	+ "\n",
	+ " canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
	+ "\n",
	+ " function canvas_keyboard_event(event) {\n",
	+ " return fig.key_event(event, event['data']);\n",
	+ " }\n",
	+ "\n",
	+ " canvas_div.keydown('key_press', canvas_keyboard_event);\n",
	+ " canvas_div.keyup('key_release', canvas_keyboard_event);\n",
	+ " this.canvas_div = canvas_div\n",
	+ " this._canvas_extra_style(canvas_div)\n",
	+ " this.root.append(canvas_div);\n",
	+ "\n",
	+ " var canvas = $('<canvas/>');\n",
	+ " canvas.addClass('mpl-canvas');\n",
	+ " canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
	+ "\n",
	+ " this.canvas = canvas[0];\n",
	+ " this.context = canvas[0].getContext(\"2d\");\n",
	+ "\n",
	+ " var backingStore = this.context.backingStorePixelRatio \|\|\n",
	+ "\tthis.context.webkitBackingStorePixelRatio \|\|\n",
	+ "\tthis.context.mozBackingStorePixelRatio \|\|\n",
	+ "\tthis.context.msBackingStorePixelRatio \|\|\n",
	+ "\tthis.context.oBackingStorePixelRatio \|\|\n",
	+ "\tthis.context.backingStorePixelRatio \|\| 1;\n",
	+ "\n",
	+ " mpl.ratio = (window.devicePixelRatio \|\| 1) / backingStore;\n",
	+ "\n",
	+ " var rubberband = $('<canvas/>');\n",
	+ " rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
	+ "\n",
	+ " var pass_mouse_events = true;\n",
	+ "\n",
	+ " canvas_div.resizable({\n",
	+ " start: function(event, ui) {\n",
	+ " pass_mouse_events = false;\n",
	+ " },\n",
	+ " resize: function(event, ui) {\n",
	+ " fig.request_resize(ui.size.width, ui.size.height);\n",
	+ " },\n",
	+ " stop: function(event, ui) {\n",
	+ " pass_mouse_events = true;\n",
	+ " fig.request_resize(ui.size.width, ui.size.height);\n",
	+ " },\n",
	+ " });\n",
	+ "\n",
	+ " function mouse_event_fn(event) {\n",
	+ " if (pass_mouse_events)\n",
	+ " return fig.mouse_event(event, event['data']);\n",
	+ " }\n",
	+ "\n",
	+ " rubberband.mousedown('button_press', mouse_event_fn);\n",
	+ " rubberband.mouseup('button_release', mouse_event_fn);\n",
	+ " // Throttle sequential mouse events to 1 every 20ms.\n",
	+ " rubberband.mousemove('motion_notify', mouse_event_fn);\n",
	+ "\n",
	+ " rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
	+ " rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
	+ "\n",
	+ " canvas_div.on(\"wheel\", function (event) {\n",
	+ " event = event.originalEvent;\n",
	+ " event['data'] = 'scroll'\n",
	+ " if (event.deltaY < 0) {\n",
	+ " event.step = 1;\n",
	+ " } else {\n",
	+ " event.step = -1;\n",
	+ " }\n",
	+ " mouse_event_fn(event);\n",
	+ " });\n",
	+ "\n",
	+ " canvas_div.append(canvas);\n",
	+ " canvas_div.append(rubberband);\n",
	+ "\n",
	+ " this.rubberband = rubberband;\n",
	+ " this.rubberband_canvas = rubberband[0];\n",
	+ " this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
	+ " this.rubberband_context.strokeStyle = \"#000000\";\n",
	+ "\n",
	+ " this._resize_canvas = function(width, height) {\n",
	+ " // Keep the size of the canvas, canvas container, and rubber band\n",
	+ " // canvas in synch.\n",
	+ " canvas_div.css('width', width)\n",
	+ " canvas_div.css('height', height)\n",
	+ "\n",
	+ " canvas.attr('width', width * mpl.ratio);\n",
	+ " canvas.attr('height', height * mpl.ratio);\n",
	+ " canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
	+ "\n",
	+ " rubberband.attr('width', width);\n",
	+ " rubberband.attr('height', height);\n",
	+ " }\n",
	+ "\n",
	+ " // Set the figure to an initial 600x600px, this will subsequently be updated\n",
	+ " // upon first draw.\n",
	+ " this._resize_canvas(600, 600);\n",
	+ "\n",
	+ " // Disable right mouse context menu.\n",
	+ " $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
	+ " return false;\n",
	+ " });\n",
	+ "\n",
	+ " function set_focus () {\n",
	+ " canvas.focus();\n",
	+ " canvas_div.focus();\n",
	+ " }\n",
	+ "\n",
	+ " window.setTimeout(set_focus, 100);\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._init_toolbar = function() {\n",
	+ " var fig = this;\n",
	+ "\n",
	+ " var nav_element = $('<div/>')\n",
	+ " nav_element.attr('style', 'width: 100%');\n",
	+ " this.root.append(nav_element);\n",
	+ "\n",
	+ " // Define a callback function for later on.\n",
	+ " function toolbar_event(event) {\n",
	+ " return fig.toolbar_button_onclick(event['data']);\n",
	+ " }\n",
	+ " function toolbar_mouse_event(event) {\n",
	+ " return fig.toolbar_button_onmouseover(event['data']);\n",
	+ " }\n",
	+ "\n",
	+ " for(var toolbar_ind in mpl.toolbar_items) {\n",
	+ " var name = mpl.toolbar_items[toolbar_ind][0];\n",
	+ " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
	+ " var image = mpl.toolbar_items[toolbar_ind][2];\n",
	+ " var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
	+ "\n",
	+ " if (!name) {\n",
	+ " // put a spacer in here.\n",
	+ " continue;\n",
	+ " }\n",
	+ " var button = $('<button/>');\n",
	+ " button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
	+ " 'ui-button-icon-only');\n",
	+ " button.attr('role', 'button');\n",
	+ " button.attr('aria-disabled', 'false');\n",
	+ " button.click(method_name, toolbar_event);\n",
	+ " button.mouseover(tooltip, toolbar_mouse_event);\n",
	+ "\n",
	+ " var icon_img = $('<span/>');\n",
	+ " icon_img.addClass('ui-button-icon-primary ui-icon');\n",
	+ " icon_img.addClass(image);\n",
	+ " icon_img.addClass('ui-corner-all');\n",
	+ "\n",
	+ " var tooltip_span = $('<span/>');\n",
	+ " tooltip_span.addClass('ui-button-text');\n",
	+ " tooltip_span.html(tooltip);\n",
	+ "\n",
	+ " button.append(icon_img);\n",
	+ " button.append(tooltip_span);\n",
	+ "\n",
	+ " nav_element.append(button);\n",
	+ " }\n",
	+ "\n",
	+ " var fmt_picker_span = $('<span/>');\n",
	+ "\n",
	+ " var fmt_picker = $('<select/>');\n",
	+ " fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
	+ " fmt_picker_span.append(fmt_picker);\n",
	+ " nav_element.append(fmt_picker_span);\n",
	+ " this.format_dropdown = fmt_picker[0];\n",
	+ "\n",
	+ " for (var ind in mpl.extensions) {\n",
	+ " var fmt = mpl.extensions[ind];\n",
	+ " var option = $(\n",
	+ " '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
	+ " fmt_picker.append(option)\n",
	+ " }\n",
	+ "\n",
	+ " // Add hover states to the ui-buttons\n",
	+ " $( \".ui-button\" ).hover(\n",
	+ " function() { $(this).addClass(\"ui-state-hover\");},\n",
	+ " function() { $(this).removeClass(\"ui-state-hover\");}\n",
	+ " );\n",
	+ "\n",
	+ " var status_bar = $('<span class=\"mpl-message\"/>');\n",
	+ " nav_element.append(status_bar);\n",
	+ " this.message = status_bar[0];\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
	+ " // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
	+ " // which will in turn request a refresh of the image.\n",
	+ " this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.send_message = function(type, properties) {\n",
	+ " properties['type'] = type;\n",
	+ " properties['figure_id'] = this.id;\n",
	+ " this.ws.send(JSON.stringify(properties));\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.send_draw_message = function() {\n",
	+ " if (!this.waiting) {\n",
	+ " this.waiting = true;\n",
	+ " this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
	+ " }\n",
	+ "}\n",
	+ "\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
	+ " var format_dropdown = fig.format_dropdown;\n",
	+ " var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
	+ " fig.ondownload(fig, format);\n",
	+ "}\n",
	+ "\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
	+ " var size = msg['size'];\n",
	+ " if (size[0] != fig.canvas.width \|\| size[1] != fig.canvas.height) {\n",
	+ " fig._resize_canvas(size[0], size[1]);\n",
	+ " fig.send_message(\"refresh\", {});\n",
	+ " };\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
	+ " var x0 = msg['x0'] / mpl.ratio;\n",
	+ " var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
	+ " var x1 = msg['x1'] / mpl.ratio;\n",
	+ " var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
	+ " x0 = Math.floor(x0) + 0.5;\n",
	+ " y0 = Math.floor(y0) + 0.5;\n",
	+ " x1 = Math.floor(x1) + 0.5;\n",
	+ " y1 = Math.floor(y1) + 0.5;\n",
	+ " var min_x = Math.min(x0, x1);\n",
	+ " var min_y = Math.min(y0, y1);\n",
	+ " var width = Math.abs(x1 - x0);\n",
	+ " var height = Math.abs(y1 - y0);\n",
	+ "\n",
	+ " fig.rubberband_context.clearRect(\n",
	+ " 0, 0, fig.canvas.width, fig.canvas.height);\n",
	+ "\n",
	+ " fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
	+ " // Updates the figure title.\n",
	+ " fig.header.textContent = msg['label'];\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
	+ " var cursor = msg['cursor'];\n",
	+ " switch(cursor)\n",
	+ " {\n",
	+ " case 0:\n",
	+ " cursor = 'pointer';\n",
	+ " break;\n",
	+ " case 1:\n",
	+ " cursor = 'default';\n",
	+ " break;\n",
	+ " case 2:\n",
	+ " cursor = 'crosshair';\n",
	+ " break;\n",
	+ " case 3:\n",
	+ " cursor = 'move';\n",
	+ " break;\n",
	+ " }\n",
	+ " fig.rubberband_canvas.style.cursor = cursor;\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
	+ " fig.message.textContent = msg['message'];\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
	+ " // Request the server to send over a new figure.\n",
	+ " fig.send_draw_message();\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
	+ " fig.image_mode = msg['mode'];\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.updated_canvas_event = function() {\n",
	+ " // Called whenever the canvas gets updated.\n",
	+ " this.send_message(\"ack\", {});\n",
	+ "}\n",
	+ "\n",
	+ "// A function to construct a web socket function for onmessage handling.\n",
	+ "// Called in the figure constructor.\n",
	+ "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
	+ " return function socket_on_message(evt) {\n",
	+ " if (evt.data instanceof Blob) {\n",
	+ " /* FIXME: We get \"Resource interpreted as Image but\n",
	+ " * transferred with MIME type text/plain:\" errors on\n",
	+ " * Chrome. But how to set the MIME type? It doesn't seem\n",
	+ " * to be part of the websocket stream */\n",
	+ " evt.data.type = \"image/png\";\n",
	+ "\n",
	+ " /* Free the memory for the previous frames */\n",
	+ " if (fig.imageObj.src) {\n",
	+ " (window.URL \|\| window.webkitURL).revokeObjectURL(\n",
	+ " fig.imageObj.src);\n",
	+ " }\n",
	+ "\n",
	+ " fig.imageObj.src = (window.URL \|\| window.webkitURL).createObjectURL(\n",
	+ " evt.data);\n",
	+ " fig.updated_canvas_event();\n",
	+ " fig.waiting = false;\n",
	+ " return;\n",
	+ " }\n",
	+ " else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
	+ " fig.imageObj.src = evt.data;\n",
	+ " fig.updated_canvas_event();\n",
	+ " fig.waiting = false;\n",
	+ " return;\n",
	+ " }\n",
	+ "\n",
	+ " var msg = JSON.parse(evt.data);\n",
	+ " var msg_type = msg['type'];\n",
	+ "\n",
	+ " // Call the \"handle_{type}\" callback, which takes\n",
	+ " // the figure and JSON message as its only arguments.\n",
	+ " try {\n",
	+ " var callback = fig[\"handle_\" + msg_type];\n",
	+ " } catch (e) {\n",
	+ " console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
	+ " return;\n",
	+ " }\n",
	+ "\n",
	+ " if (callback) {\n",
	+ " try {\n",
	+ " // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
	+ " callback(fig, msg);\n",
	+ " } catch (e) {\n",
	+ " console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
	+ " }\n",
	+ " }\n",
	+ " };\n",
	+ "}\n",
	+ "\n",
	+ "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
	+ "mpl.findpos = function(e) {\n",
	+ " //this section is from http://www.quirksmode.org/js/events_properties.html\n",
	+ " var targ;\n",
	+ " if (!e)\n",
	+ " e = window.event;\n",
	+ " if (e.target)\n",
	+ " targ = e.target;\n",
	+ " else if (e.srcElement)\n",
	+ " targ = e.srcElement;\n",
	+ " if (targ.nodeType == 3) // defeat Safari bug\n",
	+ " targ = targ.parentNode;\n",
	+ "\n",
	+ " // jQuery normalizes the pageX and pageY\n",
	+ " // pageX,Y are the mouse positions relative to the document\n",
	+ " // offset() returns the position of the element relative to the document\n",
	+ " var x = e.pageX - $(targ).offset().left;\n",
	+ " var y = e.pageY - $(targ).offset().top;\n",
	+ "\n",
	+ " return {\"x\": x, \"y\": y};\n",
	+ "};\n",
	+ "\n",
	+ "/*\n",
	+ " * return a copy of an object with only non-object keys\n",
	+ " * we need this to avoid circular references\n",
	+ " * http://stackoverflow.com/a/24161582/3208463\n",
	+ " */\n",
	+ "function simpleKeys (original) {\n",
	+ " return Object.keys(original).reduce(function (obj, key) {\n",
	+ " if (typeof original[key] !== 'object')\n",
	+ " obj[key] = original[key]\n",
	+ " return obj;\n",
	+ " }, {});\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.mouse_event = function(event, name) {\n",
	+ " var canvas_pos = mpl.findpos(event)\n",
	+ "\n",
	+ " if (name === 'button_press')\n",
	+ " {\n",
	+ " this.canvas.focus();\n",
	+ " this.canvas_div.focus();\n",
	+ " }\n",
	+ "\n",
	+ " var x = canvas_pos.x * mpl.ratio;\n",
	+ " var y = canvas_pos.y * mpl.ratio;\n",
	+ "\n",
	+ " this.send_message(name, {x: x, y: y, button: event.button,\n",
	+ " step: event.step,\n",
	+ " guiEvent: simpleKeys(event)});\n",
	+ "\n",
	+ " /* This prevents the web browser from automatically changing to\n",
	+ " * the text insertion cursor when the button is pressed. We want\n",
	+ " * to control all of the cursor setting manually through the\n",
	+ " * 'cursor' event from matplotlib */\n",
	+ " event.preventDefault();\n",
	+ " return false;\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
	+ " // Handle any extra behaviour associated with a key event\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.key_event = function(event, name) {\n",
	+ "\n",
	+ " // Prevent repeat events\n",
	+ " if (name == 'key_press')\n",
	+ " {\n",
	+ " if (event.which === this._key)\n",
	+ " return;\n",
	+ " else\n",
	+ " this._key = event.which;\n",
	+ " }\n",
	+ " if (name == 'key_release')\n",
	+ " this._key = null;\n",
	+ "\n",
	+ " var value = '';\n",
	+ " if (event.ctrlKey && event.which != 17)\n",
	+ " value += \"ctrl+\";\n",
	+ " if (event.altKey && event.which != 18)\n",
	+ " value += \"alt+\";\n",
	+ " if (event.shiftKey && event.which != 16)\n",
	+ " value += \"shift+\";\n",
	+ "\n",
	+ " value += 'k';\n",
	+ " value += event.which.toString();\n",
	+ "\n",
	+ " this._key_event_extra(event, name);\n",
	+ "\n",
	+ " this.send_message(name, {key: value,\n",
	+ " guiEvent: simpleKeys(event)});\n",
	+ " return false;\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
	+ " if (name == 'download') {\n",
	+ " this.handle_save(this, null);\n",
	+ " } else {\n",
	+ " this.send_message(\"toolbar_button\", {name: name});\n",
	+ " }\n",
	+ "};\n",
	+ "\n",
	+ "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
	+ " this.message.textContent = tooltip;\n",
	+ "};\n",
	+ "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
	+ "\n",
	+ "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
	+ "\n",
	+ "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
	+ " // Create a \"websocket\"-like object which calls the given IPython comm\n",
	+ " // object with the appropriate methods. Currently this is a non binary\n",
	+ " // socket, so there is still some room for performance tuning.\n",
	+ " var ws = {};\n",
	+ "\n",
	+ " ws.close = function() {\n",
	+ " comm.close()\n",
	+ " };\n",
	+ " ws.send = function(m) {\n",
	+ " //console.log('sending', m);\n",
	+ " comm.send(m);\n",
	+ " };\n",
	+ " // Register the callback with on_msg.\n",
	+ " comm.on_msg(function(msg) {\n",
	+ " //console.log('receiving', msg['content']['data'], msg);\n",
	+ " // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
	+ " ws.onmessage(msg['content']['data'])\n",
	+ " });\n",
	+ " return ws;\n",
	+ "}\n",
	+ "\n",
	+ "mpl.mpl_figure_comm = function(comm, msg) {\n",
	+ " // This is the function which gets called when the mpl process\n",
	+ " // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
	+ "\n",
	+ " var id = msg.content.data.id;\n",
	+ " // Get hold of the div created by the display call when the Comm\n",
	+ " // socket was opened in Python.\n",
	+ " var element = $(\"#\" + id);\n",
	+ " var ws_proxy = comm_websocket_adapter(comm)\n",
	+ "\n",
	+ " function ondownload(figure, format) {\n",
	+ " window.open(figure.imageObj.src);\n",
	+ " }\n",
	+ "\n",
	+ " var fig = new mpl.figure(id, ws_proxy,\n",
	+ " ondownload,\n",
	+ " element.get(0));\n",
	+ "\n",
	+ " // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
	+ " // web socket which is closed, not our websocket->open comm proxy.\n",
	+ " ws_proxy.onopen();\n",
	+ "\n",
	+ " fig.parent_element = element.get(0);\n",
	+ " fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
	+ " if (!fig.cell_info) {\n",
	+ " console.error(\"Failed to find cell for figure\", id, fig);\n",
	+ " return;\n",
	+ " }\n",
	+ "\n",
	+ " var output_index = fig.cell_info[2]\n",
	+ " var cell = fig.cell_info[0];\n",
	+ "\n",
	+ "};\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
	+ " var width = fig.canvas.width/mpl.ratio\n",
	+ " fig.root.unbind('remove')\n",
	+ "\n",
	+ " // Update the output cell to use the data from the current canvas.\n",
	+ " fig.push_to_output();\n",
	+ " var dataURL = fig.canvas.toDataURL();\n",
	+ " // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
	+ " // the notebook keyboard shortcuts fail.\n",
	+ " IPython.keyboard_manager.enable()\n",
	+ " $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
	+ " fig.close_ws(fig, msg);\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.close_ws = function(fig, msg){\n",
	+ " fig.send_message('closing', msg);\n",
	+ " // fig.ws.close()\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
	+ " // Turn the data on the canvas into data in the output cell.\n",
	+ " var width = this.canvas.width/mpl.ratio\n",
	+ " var dataURL = this.canvas.toDataURL();\n",
	+ " this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.updated_canvas_event = function() {\n",
	+ " // Tell IPython that the notebook contents must change.\n",
	+ " IPython.notebook.set_dirty(true);\n",
	+ " this.send_message(\"ack\", {});\n",
	+ " var fig = this;\n",
	+ " // Wait a second, then push the new image to the DOM so\n",
	+ " // that it is saved nicely (might be nice to debounce this).\n",
	+ " setTimeout(function () { fig.push_to_output() }, 1000);\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._init_toolbar = function() {\n",
	+ " var fig = this;\n",
	+ "\n",
	+ " var nav_element = $('<div/>')\n",
	+ " nav_element.attr('style', 'width: 100%');\n",
	+ " this.root.append(nav_element);\n",
	+ "\n",
	+ " // Define a callback function for later on.\n",
	+ " function toolbar_event(event) {\n",
	+ " return fig.toolbar_button_onclick(event['data']);\n",
	+ " }\n",
	+ " function toolbar_mouse_event(event) {\n",
	+ " return fig.toolbar_button_onmouseover(event['data']);\n",
	+ " }\n",
	+ "\n",
	+ " for(var toolbar_ind in mpl.toolbar_items){\n",
	+ " var name = mpl.toolbar_items[toolbar_ind][0];\n",
	+ " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
	+ " var image = mpl.toolbar_items[toolbar_ind][2];\n",
	+ " var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
	+ "\n",
	+ " if (!name) { continue; };\n",
	+ "\n",
	+ " var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
	+ " button.click(method_name, toolbar_event);\n",
	+ " button.mouseover(tooltip, toolbar_mouse_event);\n",
	+ " nav_element.append(button);\n",
	+ " }\n",
	+ "\n",
	+ " // Add the status bar.\n",
	+ " var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
	+ " nav_element.append(status_bar);\n",
	+ " this.message = status_bar[0];\n",
	+ "\n",
	+ " // Add the close button to the window.\n",
	+ " var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
	+ " var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
	+ " button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
	+ " button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
	+ " buttongrp.append(button);\n",
	+ " var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
	+ " titlebar.prepend(buttongrp);\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._root_extra_style = function(el){\n",
	+ " var fig = this\n",
	+ " el.on(\"remove\", function(){\n",
	+ "\tfig.close_ws(fig, {});\n",
	+ " });\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._canvas_extra_style = function(el){\n",
	+ " // this is important to make the div 'focusable\n",
	+ " el.attr('tabindex', 0)\n",
	+ " // reach out to IPython and tell the keyboard manager to turn it's self\n",
	+ " // off when our div gets focus\n",
	+ "\n",
	+ " // location in version 3\n",
	+ " if (IPython.notebook.keyboard_manager) {\n",
	+ " IPython.notebook.keyboard_manager.register_events(el);\n",
	+ " }\n",
	+ " else {\n",
	+ " // location in version 2\n",
	+ " IPython.keyboard_manager.register_events(el);\n",
	+ " }\n",
	+ "\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
	+ " var manager = IPython.notebook.keyboard_manager;\n",
	+ " if (!manager)\n",
	+ " manager = IPython.keyboard_manager;\n",
	+ "\n",
	+ " // Check for shift+enter\n",
	+ " if (event.shiftKey && event.which == 13) {\n",
	+ " this.canvas_div.blur();\n",
	+ " event.shiftKey = false;\n",
	+ " // Send a \"J\" for go to next cell\n",
	+ " event.which = 74;\n",
	+ " event.keyCode = 74;\n",
	+ " manager.command_mode();\n",
	+ " manager.handle_keydown(event);\n",
	+ " }\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
	+ " fig.ondownload(fig, null);\n",
	+ "}\n",
	+ "\n",
	+ "\n",
	+ "mpl.find_output_cell = function(html_output) {\n",
	+ " // Return the cell and output element which can be found uniquely in the notebook.\n",
	+ " // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
	+ " // IPython event is triggered only after the cells have been serialised, which for\n",
	+ " // our purposes (turning an active figure into a static one), is too late.\n",
	+ " var cells = IPython.notebook.get_cells();\n",
	+ " var ncells = cells.length;\n",
	+ " for (var i=0; i<ncells; i++) {\n",
	+ " var cell = cells[i];\n",
	+ " if (cell.cell_type === 'code'){\n",
	+ " for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
	+ " var data = cell.output_area.outputs[j];\n",
	+ " if (data.data) {\n",
	+ " // IPython >= 3 moved mimebundle to data attribute of output\n",
	+ " data = data.data;\n",
	+ " }\n",
	+ " if (data['text/html'] == html_output) {\n",
	+ " return [cell, data, j];\n",
	+ " }\n",
	+ " }\n",
	+ " }\n",
	+ " }\n",
	+ "}\n",
	+ "\n",
	+ "// Register the function which deals with the matplotlib target/channel.\n",
	+ "// The kernel may be null if the page has been refreshed.\n",
	+ "if (IPython.notebook.kernel != null) {\n",
	+ " IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
	+ "}\n"
	+ ],
	+ "text/plain": [
	+ "<IPython.core.display.Javascript object>"
	+ ]
	+ },
	+ "metadata": {},
	+ "output_type": "display_data"
	+ },
	+ {
	+ "data": {
	+ "text/html": [
	+ "<div id='d61e12df-2c70-4f85-8686-5501feddc104'></div>"
	+ ],
	+ "text/plain": [
	+ "<IPython.core.display.HTML object>"
	+ ]
	+ },
	+ "metadata": {},
	+ "output_type": "display_data"
	+ },
	+ {
	+ "data": {
	+ "text/plain": [
	+ "Text(0,0.5,'orientation')"
	+ ]
	+ },
	+ "execution_count": 32,
	+ "metadata": {},
	+ "output_type": "execute_result"
	+ }
	+ ],
	+ "source": [
	+ "plt.figure(figsize=(10,3))\n",
	+ "\n",
	+ "plt.subplot(131)\n",
	+ "var = horizon_50cm\n",
	+ "plt.scatter(var.NEIGUNG, var.AUSRICHTUN, c=(var.fully_shaded_ratio), s=2)\n",
	+ "plt.xlabel('tilt')\n",
	+ "plt.ylabel('orientation')\n",
	+ "\n",
	+ "plt.subplot(132)\n",
	+ "var = x_crossval\n",
	+ "plt.scatter(var.NEIGUNG, var.AUSRICHTUN, c=(y_crossval), s=3)\n",
	+ "plt.xlabel('tilt')\n",
	+ "plt.ylabel('orientation')\n",
	+ "\n",
	+ "plt.subplot(133)\n",
	+ "var = horizon_2m\n",
	+ "plt.scatter(var.NEIGUNG, var.AUSRICHTUN, c=(var.fully_shaded_ratio), s=2)\n",
	+ "# plt.colorbar()\n",
	+ "plt.xlabel('tilt')\n",
	+ "plt.ylabel('orientation')"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 23,
	+ "metadata": {},
	+ "outputs": [
	+ {
	+ "data": {
	+ "application/javascript": [
	+ "/* Put everything inside the global mpl namespace */\n",
	+ "window.mpl = {};\n",
	+ "\n",
	+ "\n",
	+ "mpl.get_websocket_type = function() {\n",
	+ " if (typeof(WebSocket) !== 'undefined') {\n",
	+ " return WebSocket;\n",
	+ " } else if (typeof(MozWebSocket) !== 'undefined') {\n",
	+ " return MozWebSocket;\n",
	+ " } else {\n",
	+ " alert('Your browser does not have WebSocket support.' +\n",
	+ " 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
	+ " 'Firefox 4 and 5 are also supported but you ' +\n",
	+ " 'have to enable WebSockets in about:config.');\n",
	+ " };\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
	+ " this.id = figure_id;\n",
	+ "\n",
	+ " this.ws = websocket;\n",
	+ "\n",
	+ " this.supports_binary = (this.ws.binaryType != undefined);\n",
	+ "\n",
	+ " if (!this.supports_binary) {\n",
	+ " var warnings = document.getElementById(\"mpl-warnings\");\n",
	+ " if (warnings) {\n",
	+ " warnings.style.display = 'block';\n",
	+ " warnings.textContent = (\n",
	+ " \"This browser does not support binary websocket messages. \" +\n",
	+ " \"Performance may be slow.\");\n",
	+ " }\n",
	+ " }\n",
	+ "\n",
	+ " this.imageObj = new Image();\n",
	+ "\n",
	+ " this.context = undefined;\n",
	+ " this.message = undefined;\n",
	+ " this.canvas = undefined;\n",
	+ " this.rubberband_canvas = undefined;\n",
	+ " this.rubberband_context = undefined;\n",
	+ " this.format_dropdown = undefined;\n",
	+ "\n",
	+ " this.image_mode = 'full';\n",
	+ "\n",
	+ " this.root = $('<div/>');\n",
	+ " this._root_extra_style(this.root)\n",
	+ " this.root.attr('style', 'display: inline-block');\n",
	+ "\n",
	+ " $(parent_element).append(this.root);\n",
	+ "\n",
	+ " this._init_header(this);\n",
	+ " this._init_canvas(this);\n",
	+ " this._init_toolbar(this);\n",
	+ "\n",
	+ " var fig = this;\n",
	+ "\n",
	+ " this.waiting = false;\n",
	+ "\n",
	+ " this.ws.onopen = function () {\n",
	+ " fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
	+ " fig.send_message(\"send_image_mode\", {});\n",
	+ " if (mpl.ratio != 1) {\n",
	+ " fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
	+ " }\n",
	+ " fig.send_message(\"refresh\", {});\n",
	+ " }\n",
	+ "\n",
	+ " this.imageObj.onload = function() {\n",
	+ " if (fig.image_mode == 'full') {\n",
	+ " // Full images could contain transparency (where diff images\n",
	+ " // almost always do), so we need to clear the canvas so that\n",
	+ " // there is no ghosting.\n",
	+ " fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
	+ " }\n",
	+ " fig.context.drawImage(fig.imageObj, 0, 0);\n",
	+ " };\n",
	+ "\n",
	+ " this.imageObj.onunload = function() {\n",
	+ " fig.ws.close();\n",
	+ " }\n",
	+ "\n",
	+ " this.ws.onmessage = this._make_on_message_function(this);\n",
	+ "\n",
	+ " this.ondownload = ondownload;\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._init_header = function() {\n",
	+ " var titlebar = $(\n",
	+ " '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
	+ " 'ui-helper-clearfix\"/>');\n",
	+ " var titletext = $(\n",
	+ " '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
	+ " 'text-align: center; padding: 3px;\"/>');\n",
	+ " titlebar.append(titletext)\n",
	+ " this.root.append(titlebar);\n",
	+ " this.header = titletext[0];\n",
	+ "}\n",
	+ "\n",
	+ "\n",
	+ "\n",
	+ "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
	+ "\n",
	+ "}\n",
	+ "\n",
	+ "\n",
	+ "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
	+ "\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._init_canvas = function() {\n",
	+ " var fig = this;\n",
	+ "\n",
	+ " var canvas_div = $('<div/>');\n",
	+ "\n",
	+ " canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
	+ "\n",
	+ " function canvas_keyboard_event(event) {\n",
	+ " return fig.key_event(event, event['data']);\n",
	+ " }\n",
	+ "\n",
	+ " canvas_div.keydown('key_press', canvas_keyboard_event);\n",
	+ " canvas_div.keyup('key_release', canvas_keyboard_event);\n",
	+ " this.canvas_div = canvas_div\n",
	+ " this._canvas_extra_style(canvas_div)\n",
	+ " this.root.append(canvas_div);\n",
	+ "\n",
	+ " var canvas = $('<canvas/>');\n",
	+ " canvas.addClass('mpl-canvas');\n",
	+ " canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
	+ "\n",
	+ " this.canvas = canvas[0];\n",
	+ " this.context = canvas[0].getContext(\"2d\");\n",
	+ "\n",
	+ " var backingStore = this.context.backingStorePixelRatio \|\|\n",
	+ "\tthis.context.webkitBackingStorePixelRatio \|\|\n",
	+ "\tthis.context.mozBackingStorePixelRatio \|\|\n",
	+ "\tthis.context.msBackingStorePixelRatio \|\|\n",
	+ "\tthis.context.oBackingStorePixelRatio \|\|\n",
	+ "\tthis.context.backingStorePixelRatio \|\| 1;\n",
	+ "\n",
	+ " mpl.ratio = (window.devicePixelRatio \|\| 1) / backingStore;\n",
	+ "\n",
	+ " var rubberband = $('<canvas/>');\n",
	+ " rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
	+ "\n",
	+ " var pass_mouse_events = true;\n",
	+ "\n",
	+ " canvas_div.resizable({\n",
	+ " start: function(event, ui) {\n",
	+ " pass_mouse_events = false;\n",
	+ " },\n",
	+ " resize: function(event, ui) {\n",
	+ " fig.request_resize(ui.size.width, ui.size.height);\n",
	+ " },\n",
	+ " stop: function(event, ui) {\n",
	+ " pass_mouse_events = true;\n",
	+ " fig.request_resize(ui.size.width, ui.size.height);\n",
	+ " },\n",
	+ " });\n",
	+ "\n",
	+ " function mouse_event_fn(event) {\n",
	+ " if (pass_mouse_events)\n",
	+ " return fig.mouse_event(event, event['data']);\n",
	+ " }\n",
	+ "\n",
	+ " rubberband.mousedown('button_press', mouse_event_fn);\n",
	+ " rubberband.mouseup('button_release', mouse_event_fn);\n",
	+ " // Throttle sequential mouse events to 1 every 20ms.\n",
	+ " rubberband.mousemove('motion_notify', mouse_event_fn);\n",
	+ "\n",
	+ " rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
	+ " rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
	+ "\n",
	+ " canvas_div.on(\"wheel\", function (event) {\n",
	+ " event = event.originalEvent;\n",
	+ " event['data'] = 'scroll'\n",
	+ " if (event.deltaY < 0) {\n",
	+ " event.step = 1;\n",
	+ " } else {\n",
	+ " event.step = -1;\n",
	+ " }\n",
	+ " mouse_event_fn(event);\n",
	+ " });\n",
	+ "\n",
	+ " canvas_div.append(canvas);\n",
	+ " canvas_div.append(rubberband);\n",
	+ "\n",
	+ " this.rubberband = rubberband;\n",
	+ " this.rubberband_canvas = rubberband[0];\n",
	+ " this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
	+ " this.rubberband_context.strokeStyle = \"#000000\";\n",
	+ "\n",
	+ " this._resize_canvas = function(width, height) {\n",
	+ " // Keep the size of the canvas, canvas container, and rubber band\n",
	+ " // canvas in synch.\n",
	+ " canvas_div.css('width', width)\n",
	+ " canvas_div.css('height', height)\n",
	+ "\n",
	+ " canvas.attr('width', width * mpl.ratio);\n",
	+ " canvas.attr('height', height * mpl.ratio);\n",
	+ " canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
	+ "\n",
	+ " rubberband.attr('width', width);\n",
	+ " rubberband.attr('height', height);\n",
	+ " }\n",
	+ "\n",
	+ " // Set the figure to an initial 600x600px, this will subsequently be updated\n",
	+ " // upon first draw.\n",
	+ " this._resize_canvas(600, 600);\n",
	+ "\n",
	+ " // Disable right mouse context menu.\n",
	+ " $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
	+ " return false;\n",
	+ " });\n",
	+ "\n",
	+ " function set_focus () {\n",
	+ " canvas.focus();\n",
	+ " canvas_div.focus();\n",
	+ " }\n",
	+ "\n",
	+ " window.setTimeout(set_focus, 100);\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._init_toolbar = function() {\n",
	+ " var fig = this;\n",
	+ "\n",
	+ " var nav_element = $('<div/>')\n",
	+ " nav_element.attr('style', 'width: 100%');\n",
	+ " this.root.append(nav_element);\n",
	+ "\n",
	+ " // Define a callback function for later on.\n",
	+ " function toolbar_event(event) {\n",
	+ " return fig.toolbar_button_onclick(event['data']);\n",
	+ " }\n",
	+ " function toolbar_mouse_event(event) {\n",
	+ " return fig.toolbar_button_onmouseover(event['data']);\n",
	+ " }\n",
	+ "\n",
	+ " for(var toolbar_ind in mpl.toolbar_items) {\n",
	+ " var name = mpl.toolbar_items[toolbar_ind][0];\n",
	+ " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
	+ " var image = mpl.toolbar_items[toolbar_ind][2];\n",
	+ " var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
	+ "\n",
	+ " if (!name) {\n",
	+ " // put a spacer in here.\n",
	+ " continue;\n",
	+ " }\n",
	+ " var button = $('<button/>');\n",
	+ " button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
	+ " 'ui-button-icon-only');\n",
	+ " button.attr('role', 'button');\n",
	+ " button.attr('aria-disabled', 'false');\n",
	+ " button.click(method_name, toolbar_event);\n",
	+ " button.mouseover(tooltip, toolbar_mouse_event);\n",
	+ "\n",
	+ " var icon_img = $('<span/>');\n",
	+ " icon_img.addClass('ui-button-icon-primary ui-icon');\n",
	+ " icon_img.addClass(image);\n",
	+ " icon_img.addClass('ui-corner-all');\n",
	+ "\n",
	+ " var tooltip_span = $('<span/>');\n",
	+ " tooltip_span.addClass('ui-button-text');\n",
	+ " tooltip_span.html(tooltip);\n",
	+ "\n",
	+ " button.append(icon_img);\n",
	+ " button.append(tooltip_span);\n",
	+ "\n",
	+ " nav_element.append(button);\n",
	+ " }\n",
	+ "\n",
	+ " var fmt_picker_span = $('<span/>');\n",
	+ "\n",
	+ " var fmt_picker = $('<select/>');\n",
	+ " fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
	+ " fmt_picker_span.append(fmt_picker);\n",
	+ " nav_element.append(fmt_picker_span);\n",
	+ " this.format_dropdown = fmt_picker[0];\n",
	+ "\n",
	+ " for (var ind in mpl.extensions) {\n",
	+ " var fmt = mpl.extensions[ind];\n",
	+ " var option = $(\n",
	+ " '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
	+ " fmt_picker.append(option)\n",
	+ " }\n",
	+ "\n",
	+ " // Add hover states to the ui-buttons\n",
	+ " $( \".ui-button\" ).hover(\n",
	+ " function() { $(this).addClass(\"ui-state-hover\");},\n",
	+ " function() { $(this).removeClass(\"ui-state-hover\");}\n",
	+ " );\n",
	+ "\n",
	+ " var status_bar = $('<span class=\"mpl-message\"/>');\n",
	+ " nav_element.append(status_bar);\n",
	+ " this.message = status_bar[0];\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
	+ " // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
	+ " // which will in turn request a refresh of the image.\n",
	+ " this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.send_message = function(type, properties) {\n",
	+ " properties['type'] = type;\n",
	+ " properties['figure_id'] = this.id;\n",
	+ " this.ws.send(JSON.stringify(properties));\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.send_draw_message = function() {\n",
	+ " if (!this.waiting) {\n",
	+ " this.waiting = true;\n",
	+ " this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
	+ " }\n",
	+ "}\n",
	+ "\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
	+ " var format_dropdown = fig.format_dropdown;\n",
	+ " var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
	+ " fig.ondownload(fig, format);\n",
	+ "}\n",
	+ "\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
	+ " var size = msg['size'];\n",
	+ " if (size[0] != fig.canvas.width \|\| size[1] != fig.canvas.height) {\n",
	+ " fig._resize_canvas(size[0], size[1]);\n",
	+ " fig.send_message(\"refresh\", {});\n",
	+ " };\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
	+ " var x0 = msg['x0'] / mpl.ratio;\n",
	+ " var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
	+ " var x1 = msg['x1'] / mpl.ratio;\n",
	+ " var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
	+ " x0 = Math.floor(x0) + 0.5;\n",
	+ " y0 = Math.floor(y0) + 0.5;\n",
	+ " x1 = Math.floor(x1) + 0.5;\n",
	+ " y1 = Math.floor(y1) + 0.5;\n",
	+ " var min_x = Math.min(x0, x1);\n",
	+ " var min_y = Math.min(y0, y1);\n",
	+ " var width = Math.abs(x1 - x0);\n",
	+ " var height = Math.abs(y1 - y0);\n",
	+ "\n",
	+ " fig.rubberband_context.clearRect(\n",
	+ " 0, 0, fig.canvas.width, fig.canvas.height);\n",
	+ "\n",
	+ " fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
	+ " // Updates the figure title.\n",
	+ " fig.header.textContent = msg['label'];\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
	+ " var cursor = msg['cursor'];\n",
	+ " switch(cursor)\n",
	+ " {\n",
	+ " case 0:\n",
	+ " cursor = 'pointer';\n",
	+ " break;\n",
	+ " case 1:\n",
	+ " cursor = 'default';\n",
	+ " break;\n",
	+ " case 2:\n",
	+ " cursor = 'crosshair';\n",
	+ " break;\n",
	+ " case 3:\n",
	+ " cursor = 'move';\n",
	+ " break;\n",
	+ " }\n",
	+ " fig.rubberband_canvas.style.cursor = cursor;\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
	+ " fig.message.textContent = msg['message'];\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
	+ " // Request the server to send over a new figure.\n",
	+ " fig.send_draw_message();\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
	+ " fig.image_mode = msg['mode'];\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.updated_canvas_event = function() {\n",
	+ " // Called whenever the canvas gets updated.\n",
	+ " this.send_message(\"ack\", {});\n",
	+ "}\n",
	+ "\n",
	+ "// A function to construct a web socket function for onmessage handling.\n",
	+ "// Called in the figure constructor.\n",
	+ "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
	+ " return function socket_on_message(evt) {\n",
	+ " if (evt.data instanceof Blob) {\n",
	+ " /* FIXME: We get \"Resource interpreted as Image but\n",
	+ " * transferred with MIME type text/plain:\" errors on\n",
	+ " * Chrome. But how to set the MIME type? It doesn't seem\n",
	+ " * to be part of the websocket stream */\n",
	+ " evt.data.type = \"image/png\";\n",
	+ "\n",
	+ " /* Free the memory for the previous frames */\n",
	+ " if (fig.imageObj.src) {\n",
	+ " (window.URL \|\| window.webkitURL).revokeObjectURL(\n",
	+ " fig.imageObj.src);\n",
	+ " }\n",
	+ "\n",
	+ " fig.imageObj.src = (window.URL \|\| window.webkitURL).createObjectURL(\n",
	+ " evt.data);\n",
	+ " fig.updated_canvas_event();\n",
	+ " fig.waiting = false;\n",
	+ " return;\n",
	+ " }\n",
	+ " else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
	+ " fig.imageObj.src = evt.data;\n",
	+ " fig.updated_canvas_event();\n",
	+ " fig.waiting = false;\n",
	+ " return;\n",
	+ " }\n",
	+ "\n",
	+ " var msg = JSON.parse(evt.data);\n",
	+ " var msg_type = msg['type'];\n",
	+ "\n",
	+ " // Call the \"handle_{type}\" callback, which takes\n",
	+ " // the figure and JSON message as its only arguments.\n",
	+ " try {\n",
	+ " var callback = fig[\"handle_\" + msg_type];\n",
	+ " } catch (e) {\n",
	+ " console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
	+ " return;\n",
	+ " }\n",
	+ "\n",
	+ " if (callback) {\n",
	+ " try {\n",
	+ " // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
	+ " callback(fig, msg);\n",
	+ " } catch (e) {\n",
	+ " console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
	+ " }\n",
	+ " }\n",
	+ " };\n",
	+ "}\n",
	+ "\n",
	+ "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
	+ "mpl.findpos = function(e) {\n",
	+ " //this section is from http://www.quirksmode.org/js/events_properties.html\n",
	+ " var targ;\n",
	+ " if (!e)\n",
	+ " e = window.event;\n",
	+ " if (e.target)\n",
	+ " targ = e.target;\n",
	+ " else if (e.srcElement)\n",
	+ " targ = e.srcElement;\n",
	+ " if (targ.nodeType == 3) // defeat Safari bug\n",
	+ " targ = targ.parentNode;\n",
	+ "\n",
	+ " // jQuery normalizes the pageX and pageY\n",
	+ " // pageX,Y are the mouse positions relative to the document\n",
	+ " // offset() returns the position of the element relative to the document\n",
	+ " var x = e.pageX - $(targ).offset().left;\n",
	+ " var y = e.pageY - $(targ).offset().top;\n",
	+ "\n",
	+ " return {\"x\": x, \"y\": y};\n",
	+ "};\n",
	+ "\n",
	+ "/*\n",
	+ " * return a copy of an object with only non-object keys\n",
	+ " * we need this to avoid circular references\n",
	+ " * http://stackoverflow.com/a/24161582/3208463\n",
	+ " */\n",
	+ "function simpleKeys (original) {\n",
	+ " return Object.keys(original).reduce(function (obj, key) {\n",
	+ " if (typeof original[key] !== 'object')\n",
	+ " obj[key] = original[key]\n",
	+ " return obj;\n",
	+ " }, {});\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.mouse_event = function(event, name) {\n",
	+ " var canvas_pos = mpl.findpos(event)\n",
	+ "\n",
	+ " if (name === 'button_press')\n",
	+ " {\n",
	+ " this.canvas.focus();\n",
	+ " this.canvas_div.focus();\n",
	+ " }\n",
	+ "\n",
	+ " var x = canvas_pos.x * mpl.ratio;\n",
	+ " var y = canvas_pos.y * mpl.ratio;\n",
	+ "\n",
	+ " this.send_message(name, {x: x, y: y, button: event.button,\n",
	+ " step: event.step,\n",
	+ " guiEvent: simpleKeys(event)});\n",
	+ "\n",
	+ " /* This prevents the web browser from automatically changing to\n",
	+ " * the text insertion cursor when the button is pressed. We want\n",
	+ " * to control all of the cursor setting manually through the\n",
	+ " * 'cursor' event from matplotlib */\n",
	+ " event.preventDefault();\n",
	+ " return false;\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
	+ " // Handle any extra behaviour associated with a key event\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.key_event = function(event, name) {\n",
	+ "\n",
	+ " // Prevent repeat events\n",
	+ " if (name == 'key_press')\n",
	+ " {\n",
	+ " if (event.which === this._key)\n",
	+ " return;\n",
	+ " else\n",
	+ " this._key = event.which;\n",
	+ " }\n",
	+ " if (name == 'key_release')\n",
	+ " this._key = null;\n",
	+ "\n",
	+ " var value = '';\n",
	+ " if (event.ctrlKey && event.which != 17)\n",
	+ " value += \"ctrl+\";\n",
	+ " if (event.altKey && event.which != 18)\n",
	+ " value += \"alt+\";\n",
	+ " if (event.shiftKey && event.which != 16)\n",
	+ " value += \"shift+\";\n",
	+ "\n",
	+ " value += 'k';\n",
	+ " value += event.which.toString();\n",
	+ "\n",
	+ " this._key_event_extra(event, name);\n",
	+ "\n",
	+ " this.send_message(name, {key: value,\n",
	+ " guiEvent: simpleKeys(event)});\n",
	+ " return false;\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
	+ " if (name == 'download') {\n",
	+ " this.handle_save(this, null);\n",
	+ " } else {\n",
	+ " this.send_message(\"toolbar_button\", {name: name});\n",
	+ " }\n",
	+ "};\n",
	+ "\n",
	+ "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
	+ " this.message.textContent = tooltip;\n",
	+ "};\n",
	+ "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
	+ "\n",
	+ "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
	+ "\n",
	+ "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
	+ " // Create a \"websocket\"-like object which calls the given IPython comm\n",
	+ " // object with the appropriate methods. Currently this is a non binary\n",
	+ " // socket, so there is still some room for performance tuning.\n",
	+ " var ws = {};\n",
	+ "\n",
	+ " ws.close = function() {\n",
	+ " comm.close()\n",
	+ " };\n",
	+ " ws.send = function(m) {\n",
	+ " //console.log('sending', m);\n",
	+ " comm.send(m);\n",
	+ " };\n",
	+ " // Register the callback with on_msg.\n",
	+ " comm.on_msg(function(msg) {\n",
	+ " //console.log('receiving', msg['content']['data'], msg);\n",
	+ " // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
	+ " ws.onmessage(msg['content']['data'])\n",
	+ " });\n",
	+ " return ws;\n",
	+ "}\n",
	+ "\n",
	+ "mpl.mpl_figure_comm = function(comm, msg) {\n",
	+ " // This is the function which gets called when the mpl process\n",
	+ " // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
	+ "\n",
	+ " var id = msg.content.data.id;\n",
	+ " // Get hold of the div created by the display call when the Comm\n",
	+ " // socket was opened in Python.\n",
	+ " var element = $(\"#\" + id);\n",
	+ " var ws_proxy = comm_websocket_adapter(comm)\n",
	+ "\n",
	+ " function ondownload(figure, format) {\n",
	+ " window.open(figure.imageObj.src);\n",
	+ " }\n",
	+ "\n",
	+ " var fig = new mpl.figure(id, ws_proxy,\n",
	+ " ondownload,\n",
	+ " element.get(0));\n",
	+ "\n",
	+ " // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
	+ " // web socket which is closed, not our websocket->open comm proxy.\n",
	+ " ws_proxy.onopen();\n",
	+ "\n",
	+ " fig.parent_element = element.get(0);\n",
	+ " fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
	+ " if (!fig.cell_info) {\n",
	+ " console.error(\"Failed to find cell for figure\", id, fig);\n",
	+ " return;\n",
	+ " }\n",
	+ "\n",
	+ " var output_index = fig.cell_info[2]\n",
	+ " var cell = fig.cell_info[0];\n",
	+ "\n",
	+ "};\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
	+ " var width = fig.canvas.width/mpl.ratio\n",
	+ " fig.root.unbind('remove')\n",
	+ "\n",
	+ " // Update the output cell to use the data from the current canvas.\n",
	+ " fig.push_to_output();\n",
	+ " var dataURL = fig.canvas.toDataURL();\n",
	+ " // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
	+ " // the notebook keyboard shortcuts fail.\n",
	+ " IPython.keyboard_manager.enable()\n",
	+ " $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
	+ " fig.close_ws(fig, msg);\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.close_ws = function(fig, msg){\n",
	+ " fig.send_message('closing', msg);\n",
	+ " // fig.ws.close()\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
	+ " // Turn the data on the canvas into data in the output cell.\n",
	+ " var width = this.canvas.width/mpl.ratio\n",
	+ " var dataURL = this.canvas.toDataURL();\n",
	+ " this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.updated_canvas_event = function() {\n",
	+ " // Tell IPython that the notebook contents must change.\n",
	+ " IPython.notebook.set_dirty(true);\n",
	+ " this.send_message(\"ack\", {});\n",
	+ " var fig = this;\n",
	+ " // Wait a second, then push the new image to the DOM so\n",
	+ " // that it is saved nicely (might be nice to debounce this).\n",
	+ " setTimeout(function () { fig.push_to_output() }, 1000);\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._init_toolbar = function() {\n",
	+ " var fig = this;\n",
	+ "\n",
	+ " var nav_element = $('<div/>')\n",
	+ " nav_element.attr('style', 'width: 100%');\n",
	+ " this.root.append(nav_element);\n",
	+ "\n",
	+ " // Define a callback function for later on.\n",
	+ " function toolbar_event(event) {\n",
	+ " return fig.toolbar_button_onclick(event['data']);\n",
	+ " }\n",
	+ " function toolbar_mouse_event(event) {\n",
	+ " return fig.toolbar_button_onmouseover(event['data']);\n",
	+ " }\n",
	+ "\n",
	+ " for(var toolbar_ind in mpl.toolbar_items){\n",
	+ " var name = mpl.toolbar_items[toolbar_ind][0];\n",
	+ " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
	+ " var image = mpl.toolbar_items[toolbar_ind][2];\n",
	+ " var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
	+ "\n",
	+ " if (!name) { continue; };\n",
	+ "\n",
	+ " var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
	+ " button.click(method_name, toolbar_event);\n",
	+ " button.mouseover(tooltip, toolbar_mouse_event);\n",
	+ " nav_element.append(button);\n",
	+ " }\n",
	+ "\n",
	+ " // Add the status bar.\n",
	+ " var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
	+ " nav_element.append(status_bar);\n",
	+ " this.message = status_bar[0];\n",
	+ "\n",
	+ " // Add the close button to the window.\n",
	+ " var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
	+ " var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
	+ " button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
	+ " button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
	+ " buttongrp.append(button);\n",
	+ " var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
	+ " titlebar.prepend(buttongrp);\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._root_extra_style = function(el){\n",
	+ " var fig = this\n",
	+ " el.on(\"remove\", function(){\n",
	+ "\tfig.close_ws(fig, {});\n",
	+ " });\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._canvas_extra_style = function(el){\n",
	+ " // this is important to make the div 'focusable\n",
	+ " el.attr('tabindex', 0)\n",
	+ " // reach out to IPython and tell the keyboard manager to turn it's self\n",
	+ " // off when our div gets focus\n",
	+ "\n",
	+ " // location in version 3\n",
	+ " if (IPython.notebook.keyboard_manager) {\n",
	+ " IPython.notebook.keyboard_manager.register_events(el);\n",
	+ " }\n",
	+ " else {\n",
	+ " // location in version 2\n",
	+ " IPython.keyboard_manager.register_events(el);\n",
	+ " }\n",
	+ "\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
	+ " var manager = IPython.notebook.keyboard_manager;\n",
	+ " if (!manager)\n",
	+ " manager = IPython.keyboard_manager;\n",
	+ "\n",
	+ " // Check for shift+enter\n",
	+ " if (event.shiftKey && event.which == 13) {\n",
	+ " this.canvas_div.blur();\n",
	+ " event.shiftKey = false;\n",
	+ " // Send a \"J\" for go to next cell\n",
	+ " event.which = 74;\n",
	+ " event.keyCode = 74;\n",
	+ " manager.command_mode();\n",
	+ " manager.handle_keydown(event);\n",
	+ " }\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
	+ " fig.ondownload(fig, null);\n",
	+ "}\n",
	+ "\n",
	+ "\n",
	+ "mpl.find_output_cell = function(html_output) {\n",
	+ " // Return the cell and output element which can be found uniquely in the notebook.\n",
	+ " // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
	+ " // IPython event is triggered only after the cells have been serialised, which for\n",
	+ " // our purposes (turning an active figure into a static one), is too late.\n",
	+ " var cells = IPython.notebook.get_cells();\n",
	+ " var ncells = cells.length;\n",
	+ " for (var i=0; i<ncells; i++) {\n",
	+ " var cell = cells[i];\n",
	+ " if (cell.cell_type === 'code'){\n",
	+ " for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
	+ " var data = cell.output_area.outputs[j];\n",
	+ " if (data.data) {\n",
	+ " // IPython >= 3 moved mimebundle to data attribute of output\n",
	+ " data = data.data;\n",
	+ " }\n",
	+ " if (data['text/html'] == html_output) {\n",
	+ " return [cell, data, j];\n",
	+ " }\n",
	+ " }\n",
	+ " }\n",
	+ " }\n",
	+ "}\n",
	+ "\n",
	+ "// Register the function which deals with the matplotlib target/channel.\n",
	+ "// The kernel may be null if the page has been refreshed.\n",
	+ "if (IPython.notebook.kernel != null) {\n",
	+ " IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
	+ "}\n"
	+ ],
	+ "text/plain": [
	+ "<IPython.core.display.Javascript object>"
	+ ]
	+ },
	+ "metadata": {},
	+ "output_type": "display_data"
	+ },
	+ {
	+ "data": {
	+ "text/html": [
	+ "<img 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\" width=\"640\">"
	+ ],
	+ "text/plain": [
	+ "<IPython.core.display.HTML object>"
	+ ]
	+ },
	+ "metadata": {},
	+ "output_type": "display_data"
	+ },
	+ {
	+ "data": {
	+ "text/plain": [
	+ "Text(0,0.5,'orientation')"
	+ ]
	+ },
	+ "execution_count": 23,
	+ "metadata": {},
	+ "output_type": "execute_result"
	+ }
	+ ],
	+ "source": [
	+ "var = horizon_2m\n",
	+ "plt.figure()\n",
	+ "plt.scatter(var.NEIGUNG, var.AUSRICHTUN, c=(var.fully_shaded_ratio), s=3)\n",
	+ "#var.mean_06_15h.hist(bins=100, range=(0,1))\n",
	+ "plt.colorbar()\n",
	+ "plt.xlabel('tilt')\n",
	+ "plt.ylabel('orientation')"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 22,
	+ "metadata": {},
	+ "outputs": [
	+ {
	+ "data": {
	+ "application/javascript": [
	+ "/* Put everything inside the global mpl namespace */\n",
	+ "window.mpl = {};\n",
	+ "\n",
	+ "\n",
	+ "mpl.get_websocket_type = function() {\n",
	+ " if (typeof(WebSocket) !== 'undefined') {\n",
	+ " return WebSocket;\n",
	+ " } else if (typeof(MozWebSocket) !== 'undefined') {\n",
	+ " return MozWebSocket;\n",
	+ " } else {\n",
	+ " alert('Your browser does not have WebSocket support.' +\n",
	+ " 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
	+ " 'Firefox 4 and 5 are also supported but you ' +\n",
	+ " 'have to enable WebSockets in about:config.');\n",
	+ " };\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
	+ " this.id = figure_id;\n",
	+ "\n",
	+ " this.ws = websocket;\n",
	+ "\n",
	+ " this.supports_binary = (this.ws.binaryType != undefined);\n",
	+ "\n",
	+ " if (!this.supports_binary) {\n",
	+ " var warnings = document.getElementById(\"mpl-warnings\");\n",
	+ " if (warnings) {\n",
	+ " warnings.style.display = 'block';\n",
	+ " warnings.textContent = (\n",
	+ " \"This browser does not support binary websocket messages. \" +\n",
	+ " \"Performance may be slow.\");\n",
	+ " }\n",
	+ " }\n",
	+ "\n",
	+ " this.imageObj = new Image();\n",
	+ "\n",
	+ " this.context = undefined;\n",
	+ " this.message = undefined;\n",
	+ " this.canvas = undefined;\n",
	+ " this.rubberband_canvas = undefined;\n",
	+ " this.rubberband_context = undefined;\n",
	+ " this.format_dropdown = undefined;\n",
	+ "\n",
	+ " this.image_mode = 'full';\n",
	+ "\n",
	+ " this.root = $('<div/>');\n",
	+ " this._root_extra_style(this.root)\n",
	+ " this.root.attr('style', 'display: inline-block');\n",
	+ "\n",
	+ " $(parent_element).append(this.root);\n",
	+ "\n",
	+ " this._init_header(this);\n",
	+ " this._init_canvas(this);\n",
	+ " this._init_toolbar(this);\n",
	+ "\n",
	+ " var fig = this;\n",
	+ "\n",
	+ " this.waiting = false;\n",
	+ "\n",
	+ " this.ws.onopen = function () {\n",
	+ " fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
	+ " fig.send_message(\"send_image_mode\", {});\n",
	+ " if (mpl.ratio != 1) {\n",
	+ " fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
	+ " }\n",
	+ " fig.send_message(\"refresh\", {});\n",
	+ " }\n",
	+ "\n",
	+ " this.imageObj.onload = function() {\n",
	+ " if (fig.image_mode == 'full') {\n",
	+ " // Full images could contain transparency (where diff images\n",
	+ " // almost always do), so we need to clear the canvas so that\n",
	+ " // there is no ghosting.\n",
	+ " fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
	+ " }\n",
	+ " fig.context.drawImage(fig.imageObj, 0, 0);\n",
	+ " };\n",
	+ "\n",
	+ " this.imageObj.onunload = function() {\n",
	+ " fig.ws.close();\n",
	+ " }\n",
	+ "\n",
	+ " this.ws.onmessage = this._make_on_message_function(this);\n",
	+ "\n",
	+ " this.ondownload = ondownload;\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._init_header = function() {\n",
	+ " var titlebar = $(\n",
	+ " '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
	+ " 'ui-helper-clearfix\"/>');\n",
	+ " var titletext = $(\n",
	+ " '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
	+ " 'text-align: center; padding: 3px;\"/>');\n",
	+ " titlebar.append(titletext)\n",
	+ " this.root.append(titlebar);\n",
	+ " this.header = titletext[0];\n",
	+ "}\n",
	+ "\n",
	+ "\n",
	+ "\n",
	+ "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
	+ "\n",
	+ "}\n",
	+ "\n",
	+ "\n",
	+ "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
	+ "\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._init_canvas = function() {\n",
	+ " var fig = this;\n",
	+ "\n",
	+ " var canvas_div = $('<div/>');\n",
	+ "\n",
	+ " canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
	+ "\n",
	+ " function canvas_keyboard_event(event) {\n",
	+ " return fig.key_event(event, event['data']);\n",
	+ " }\n",
	+ "\n",
	+ " canvas_div.keydown('key_press', canvas_keyboard_event);\n",
	+ " canvas_div.keyup('key_release', canvas_keyboard_event);\n",
	+ " this.canvas_div = canvas_div\n",
	+ " this._canvas_extra_style(canvas_div)\n",
	+ " this.root.append(canvas_div);\n",
	+ "\n",
	+ " var canvas = $('<canvas/>');\n",
	+ " canvas.addClass('mpl-canvas');\n",
	+ " canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
	+ "\n",
	+ " this.canvas = canvas[0];\n",
	+ " this.context = canvas[0].getContext(\"2d\");\n",
	+ "\n",
	+ " var backingStore = this.context.backingStorePixelRatio \|\|\n",
	+ "\tthis.context.webkitBackingStorePixelRatio \|\|\n",
	+ "\tthis.context.mozBackingStorePixelRatio \|\|\n",
	+ "\tthis.context.msBackingStorePixelRatio \|\|\n",
	+ "\tthis.context.oBackingStorePixelRatio \|\|\n",
	+ "\tthis.context.backingStorePixelRatio \|\| 1;\n",
	+ "\n",
	+ " mpl.ratio = (window.devicePixelRatio \|\| 1) / backingStore;\n",
	+ "\n",
	+ " var rubberband = $('<canvas/>');\n",
	+ " rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
	+ "\n",
	+ " var pass_mouse_events = true;\n",
	+ "\n",
	+ " canvas_div.resizable({\n",
	+ " start: function(event, ui) {\n",
	+ " pass_mouse_events = false;\n",
	+ " },\n",
	+ " resize: function(event, ui) {\n",
	+ " fig.request_resize(ui.size.width, ui.size.height);\n",
	+ " },\n",
	+ " stop: function(event, ui) {\n",
	+ " pass_mouse_events = true;\n",
	+ " fig.request_resize(ui.size.width, ui.size.height);\n",
	+ " },\n",
	+ " });\n",
	+ "\n",
	+ " function mouse_event_fn(event) {\n",
	+ " if (pass_mouse_events)\n",
	+ " return fig.mouse_event(event, event['data']);\n",
	+ " }\n",
	+ "\n",
	+ " rubberband.mousedown('button_press', mouse_event_fn);\n",
	+ " rubberband.mouseup('button_release', mouse_event_fn);\n",
	+ " // Throttle sequential mouse events to 1 every 20ms.\n",
	+ " rubberband.mousemove('motion_notify', mouse_event_fn);\n",
	+ "\n",
	+ " rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
	+ " rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
	+ "\n",
	+ " canvas_div.on(\"wheel\", function (event) {\n",
	+ " event = event.originalEvent;\n",
	+ " event['data'] = 'scroll'\n",
	+ " if (event.deltaY < 0) {\n",
	+ " event.step = 1;\n",
	+ " } else {\n",
	+ " event.step = -1;\n",
	+ " }\n",
	+ " mouse_event_fn(event);\n",
	+ " });\n",
	+ "\n",
	+ " canvas_div.append(canvas);\n",
	+ " canvas_div.append(rubberband);\n",
	+ "\n",
	+ " this.rubberband = rubberband;\n",
	+ " this.rubberband_canvas = rubberband[0];\n",
	+ " this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
	+ " this.rubberband_context.strokeStyle = \"#000000\";\n",
	+ "\n",
	+ " this._resize_canvas = function(width, height) {\n",
	+ " // Keep the size of the canvas, canvas container, and rubber band\n",
	+ " // canvas in synch.\n",
	+ " canvas_div.css('width', width)\n",
	+ " canvas_div.css('height', height)\n",
	+ "\n",
	+ " canvas.attr('width', width * mpl.ratio);\n",
	+ " canvas.attr('height', height * mpl.ratio);\n",
	+ " canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
	+ "\n",
	+ " rubberband.attr('width', width);\n",
	+ " rubberband.attr('height', height);\n",
	+ " }\n",
	+ "\n",
	+ " // Set the figure to an initial 600x600px, this will subsequently be updated\n",
	+ " // upon first draw.\n",
	+ " this._resize_canvas(600, 600);\n",
	+ "\n",
	+ " // Disable right mouse context menu.\n",
	+ " $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
	+ " return false;\n",
	+ " });\n",
	+ "\n",
	+ " function set_focus () {\n",
	+ " canvas.focus();\n",
	+ " canvas_div.focus();\n",
	+ " }\n",
	+ "\n",
	+ " window.setTimeout(set_focus, 100);\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._init_toolbar = function() {\n",
	+ " var fig = this;\n",
	+ "\n",
	+ " var nav_element = $('<div/>')\n",
	+ " nav_element.attr('style', 'width: 100%');\n",
	+ " this.root.append(nav_element);\n",
	+ "\n",
	+ " // Define a callback function for later on.\n",
	+ " function toolbar_event(event) {\n",
	+ " return fig.toolbar_button_onclick(event['data']);\n",
	+ " }\n",
	+ " function toolbar_mouse_event(event) {\n",
	+ " return fig.toolbar_button_onmouseover(event['data']);\n",
	+ " }\n",
	+ "\n",
	+ " for(var toolbar_ind in mpl.toolbar_items) {\n",
	+ " var name = mpl.toolbar_items[toolbar_ind][0];\n",
	+ " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
	+ " var image = mpl.toolbar_items[toolbar_ind][2];\n",
	+ " var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
	+ "\n",
	+ " if (!name) {\n",
	+ " // put a spacer in here.\n",
	+ " continue;\n",
	+ " }\n",
	+ " var button = $('<button/>');\n",
	+ " button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
	+ " 'ui-button-icon-only');\n",
	+ " button.attr('role', 'button');\n",
	+ " button.attr('aria-disabled', 'false');\n",
	+ " button.click(method_name, toolbar_event);\n",
	+ " button.mouseover(tooltip, toolbar_mouse_event);\n",
	+ "\n",
	+ " var icon_img = $('<span/>');\n",
	+ " icon_img.addClass('ui-button-icon-primary ui-icon');\n",
	+ " icon_img.addClass(image);\n",
	+ " icon_img.addClass('ui-corner-all');\n",
	+ "\n",
	+ " var tooltip_span = $('<span/>');\n",
	+ " tooltip_span.addClass('ui-button-text');\n",
	+ " tooltip_span.html(tooltip);\n",
	+ "\n",
	+ " button.append(icon_img);\n",
	+ " button.append(tooltip_span);\n",
	+ "\n",
	+ " nav_element.append(button);\n",
	+ " }\n",
	+ "\n",
	+ " var fmt_picker_span = $('<span/>');\n",
	+ "\n",
	+ " var fmt_picker = $('<select/>');\n",
	+ " fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
	+ " fmt_picker_span.append(fmt_picker);\n",
	+ " nav_element.append(fmt_picker_span);\n",
	+ " this.format_dropdown = fmt_picker[0];\n",
	+ "\n",
	+ " for (var ind in mpl.extensions) {\n",
	+ " var fmt = mpl.extensions[ind];\n",
	+ " var option = $(\n",
	+ " '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
	+ " fmt_picker.append(option)\n",
	+ " }\n",
	+ "\n",
	+ " // Add hover states to the ui-buttons\n",
	+ " $( \".ui-button\" ).hover(\n",
	+ " function() { $(this).addClass(\"ui-state-hover\");},\n",
	+ " function() { $(this).removeClass(\"ui-state-hover\");}\n",
	+ " );\n",
	+ "\n",
	+ " var status_bar = $('<span class=\"mpl-message\"/>');\n",
	+ " nav_element.append(status_bar);\n",
	+ " this.message = status_bar[0];\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
	+ " // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
	+ " // which will in turn request a refresh of the image.\n",
	+ " this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.send_message = function(type, properties) {\n",
	+ " properties['type'] = type;\n",
	+ " properties['figure_id'] = this.id;\n",
	+ " this.ws.send(JSON.stringify(properties));\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.send_draw_message = function() {\n",
	+ " if (!this.waiting) {\n",
	+ " this.waiting = true;\n",
	+ " this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
	+ " }\n",
	+ "}\n",
	+ "\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
	+ " var format_dropdown = fig.format_dropdown;\n",
	+ " var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
	+ " fig.ondownload(fig, format);\n",
	+ "}\n",
	+ "\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
	+ " var size = msg['size'];\n",
	+ " if (size[0] != fig.canvas.width \|\| size[1] != fig.canvas.height) {\n",
	+ " fig._resize_canvas(size[0], size[1]);\n",
	+ " fig.send_message(\"refresh\", {});\n",
	+ " };\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
	+ " var x0 = msg['x0'] / mpl.ratio;\n",
	+ " var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
	+ " var x1 = msg['x1'] / mpl.ratio;\n",
	+ " var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
	+ " x0 = Math.floor(x0) + 0.5;\n",
	+ " y0 = Math.floor(y0) + 0.5;\n",
	+ " x1 = Math.floor(x1) + 0.5;\n",
	+ " y1 = Math.floor(y1) + 0.5;\n",
	+ " var min_x = Math.min(x0, x1);\n",
	+ " var min_y = Math.min(y0, y1);\n",
	+ " var width = Math.abs(x1 - x0);\n",
	+ " var height = Math.abs(y1 - y0);\n",
	+ "\n",
	+ " fig.rubberband_context.clearRect(\n",
	+ " 0, 0, fig.canvas.width, fig.canvas.height);\n",
	+ "\n",
	+ " fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
	+ " // Updates the figure title.\n",
	+ " fig.header.textContent = msg['label'];\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
	+ " var cursor = msg['cursor'];\n",
	+ " switch(cursor)\n",
	+ " {\n",
	+ " case 0:\n",
	+ " cursor = 'pointer';\n",
	+ " break;\n",
	+ " case 1:\n",
	+ " cursor = 'default';\n",
	+ " break;\n",
	+ " case 2:\n",
	+ " cursor = 'crosshair';\n",
	+ " break;\n",
	+ " case 3:\n",
	+ " cursor = 'move';\n",
	+ " break;\n",
	+ " }\n",
	+ " fig.rubberband_canvas.style.cursor = cursor;\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
	+ " fig.message.textContent = msg['message'];\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
	+ " // Request the server to send over a new figure.\n",
	+ " fig.send_draw_message();\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
	+ " fig.image_mode = msg['mode'];\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.updated_canvas_event = function() {\n",
	+ " // Called whenever the canvas gets updated.\n",
	+ " this.send_message(\"ack\", {});\n",
	+ "}\n",
	+ "\n",
	+ "// A function to construct a web socket function for onmessage handling.\n",
	+ "// Called in the figure constructor.\n",
	+ "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
	+ " return function socket_on_message(evt) {\n",
	+ " if (evt.data instanceof Blob) {\n",
	+ " /* FIXME: We get \"Resource interpreted as Image but\n",
	+ " * transferred with MIME type text/plain:\" errors on\n",
	+ " * Chrome. But how to set the MIME type? It doesn't seem\n",
	+ " * to be part of the websocket stream */\n",
	+ " evt.data.type = \"image/png\";\n",
	+ "\n",
	+ " /* Free the memory for the previous frames */\n",
	+ " if (fig.imageObj.src) {\n",
	+ " (window.URL \|\| window.webkitURL).revokeObjectURL(\n",
	+ " fig.imageObj.src);\n",
	+ " }\n",
	+ "\n",
	+ " fig.imageObj.src = (window.URL \|\| window.webkitURL).createObjectURL(\n",
	+ " evt.data);\n",
	+ " fig.updated_canvas_event();\n",
	+ " fig.waiting = false;\n",
	+ " return;\n",
	+ " }\n",
	+ " else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
	+ " fig.imageObj.src = evt.data;\n",
	+ " fig.updated_canvas_event();\n",
	+ " fig.waiting = false;\n",
	+ " return;\n",
	+ " }\n",
	+ "\n",
	+ " var msg = JSON.parse(evt.data);\n",
	+ " var msg_type = msg['type'];\n",
	+ "\n",
	+ " // Call the \"handle_{type}\" callback, which takes\n",
	+ " // the figure and JSON message as its only arguments.\n",
	+ " try {\n",
	+ " var callback = fig[\"handle_\" + msg_type];\n",
	+ " } catch (e) {\n",
	+ " console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
	+ " return;\n",
	+ " }\n",
	+ "\n",
	+ " if (callback) {\n",
	+ " try {\n",
	+ " // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
	+ " callback(fig, msg);\n",
	+ " } catch (e) {\n",
	+ " console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
	+ " }\n",
	+ " }\n",
	+ " };\n",
	+ "}\n",
	+ "\n",
	+ "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
	+ "mpl.findpos = function(e) {\n",
	+ " //this section is from http://www.quirksmode.org/js/events_properties.html\n",
	+ " var targ;\n",
	+ " if (!e)\n",
	+ " e = window.event;\n",
	+ " if (e.target)\n",
	+ " targ = e.target;\n",
	+ " else if (e.srcElement)\n",
	+ " targ = e.srcElement;\n",
	+ " if (targ.nodeType == 3) // defeat Safari bug\n",
	+ " targ = targ.parentNode;\n",
	+ "\n",
	+ " // jQuery normalizes the pageX and pageY\n",
	+ " // pageX,Y are the mouse positions relative to the document\n",
	+ " // offset() returns the position of the element relative to the document\n",
	+ " var x = e.pageX - $(targ).offset().left;\n",
	+ " var y = e.pageY - $(targ).offset().top;\n",
	+ "\n",
	+ " return {\"x\": x, \"y\": y};\n",
	+ "};\n",
	+ "\n",
	+ "/*\n",
	+ " * return a copy of an object with only non-object keys\n",
	+ " * we need this to avoid circular references\n",
	+ " * http://stackoverflow.com/a/24161582/3208463\n",
	+ " */\n",
	+ "function simpleKeys (original) {\n",
	+ " return Object.keys(original).reduce(function (obj, key) {\n",
	+ " if (typeof original[key] !== 'object')\n",
	+ " obj[key] = original[key]\n",
	+ " return obj;\n",
	+ " }, {});\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.mouse_event = function(event, name) {\n",
	+ " var canvas_pos = mpl.findpos(event)\n",
	+ "\n",
	+ " if (name === 'button_press')\n",
	+ " {\n",
	+ " this.canvas.focus();\n",
	+ " this.canvas_div.focus();\n",
	+ " }\n",
	+ "\n",
	+ " var x = canvas_pos.x * mpl.ratio;\n",
	+ " var y = canvas_pos.y * mpl.ratio;\n",
	+ "\n",
	+ " this.send_message(name, {x: x, y: y, button: event.button,\n",
	+ " step: event.step,\n",
	+ " guiEvent: simpleKeys(event)});\n",
	+ "\n",
	+ " /* This prevents the web browser from automatically changing to\n",
	+ " * the text insertion cursor when the button is pressed. We want\n",
	+ " * to control all of the cursor setting manually through the\n",
	+ " * 'cursor' event from matplotlib */\n",
	+ " event.preventDefault();\n",
	+ " return false;\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
	+ " // Handle any extra behaviour associated with a key event\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.key_event = function(event, name) {\n",
	+ "\n",
	+ " // Prevent repeat events\n",
	+ " if (name == 'key_press')\n",
	+ " {\n",
	+ " if (event.which === this._key)\n",
	+ " return;\n",
	+ " else\n",
	+ " this._key = event.which;\n",
	+ " }\n",
	+ " if (name == 'key_release')\n",
	+ " this._key = null;\n",
	+ "\n",
	+ " var value = '';\n",
	+ " if (event.ctrlKey && event.which != 17)\n",
	+ " value += \"ctrl+\";\n",
	+ " if (event.altKey && event.which != 18)\n",
	+ " value += \"alt+\";\n",
	+ " if (event.shiftKey && event.which != 16)\n",
	+ " value += \"shift+\";\n",
	+ "\n",
	+ " value += 'k';\n",
	+ " value += event.which.toString();\n",
	+ "\n",
	+ " this._key_event_extra(event, name);\n",
	+ "\n",
	+ " this.send_message(name, {key: value,\n",
	+ " guiEvent: simpleKeys(event)});\n",
	+ " return false;\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
	+ " if (name == 'download') {\n",
	+ " this.handle_save(this, null);\n",
	+ " } else {\n",
	+ " this.send_message(\"toolbar_button\", {name: name});\n",
	+ " }\n",
	+ "};\n",
	+ "\n",
	+ "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
	+ " this.message.textContent = tooltip;\n",
	+ "};\n",
	+ "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
	+ "\n",
	+ "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
	+ "\n",
	+ "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
	+ " // Create a \"websocket\"-like object which calls the given IPython comm\n",
	+ " // object with the appropriate methods. Currently this is a non binary\n",
	+ " // socket, so there is still some room for performance tuning.\n",
	+ " var ws = {};\n",
	+ "\n",
	+ " ws.close = function() {\n",
	+ " comm.close()\n",
	+ " };\n",
	+ " ws.send = function(m) {\n",
	+ " //console.log('sending', m);\n",
	+ " comm.send(m);\n",
	+ " };\n",
	+ " // Register the callback with on_msg.\n",
	+ " comm.on_msg(function(msg) {\n",
	+ " //console.log('receiving', msg['content']['data'], msg);\n",
	+ " // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
	+ " ws.onmessage(msg['content']['data'])\n",
	+ " });\n",
	+ " return ws;\n",
	+ "}\n",
	+ "\n",
	+ "mpl.mpl_figure_comm = function(comm, msg) {\n",
	+ " // This is the function which gets called when the mpl process\n",
	+ " // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
	+ "\n",
	+ " var id = msg.content.data.id;\n",
	+ " // Get hold of the div created by the display call when the Comm\n",
	+ " // socket was opened in Python.\n",
	+ " var element = $(\"#\" + id);\n",
	+ " var ws_proxy = comm_websocket_adapter(comm)\n",
	+ "\n",
	+ " function ondownload(figure, format) {\n",
	+ " window.open(figure.imageObj.src);\n",
	+ " }\n",
	+ "\n",
	+ " var fig = new mpl.figure(id, ws_proxy,\n",
	+ " ondownload,\n",
	+ " element.get(0));\n",
	+ "\n",
	+ " // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
	+ " // web socket which is closed, not our websocket->open comm proxy.\n",
	+ " ws_proxy.onopen();\n",
	+ "\n",
	+ " fig.parent_element = element.get(0);\n",
	+ " fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
	+ " if (!fig.cell_info) {\n",
	+ " console.error(\"Failed to find cell for figure\", id, fig);\n",
	+ " return;\n",
	+ " }\n",
	+ "\n",
	+ " var output_index = fig.cell_info[2]\n",
	+ " var cell = fig.cell_info[0];\n",
	+ "\n",
	+ "};\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
	+ " var width = fig.canvas.width/mpl.ratio\n",
	+ " fig.root.unbind('remove')\n",
	+ "\n",
	+ " // Update the output cell to use the data from the current canvas.\n",
	+ " fig.push_to_output();\n",
	+ " var dataURL = fig.canvas.toDataURL();\n",
	+ " // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
	+ " // the notebook keyboard shortcuts fail.\n",
	+ " IPython.keyboard_manager.enable()\n",
	+ " $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
	+ " fig.close_ws(fig, msg);\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.close_ws = function(fig, msg){\n",
	+ " fig.send_message('closing', msg);\n",
	+ " // fig.ws.close()\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
	+ " // Turn the data on the canvas into data in the output cell.\n",
	+ " var width = this.canvas.width/mpl.ratio\n",
	+ " var dataURL = this.canvas.toDataURL();\n",
	+ " this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.updated_canvas_event = function() {\n",
	+ " // Tell IPython that the notebook contents must change.\n",
	+ " IPython.notebook.set_dirty(true);\n",
	+ " this.send_message(\"ack\", {});\n",
	+ " var fig = this;\n",
	+ " // Wait a second, then push the new image to the DOM so\n",
	+ " // that it is saved nicely (might be nice to debounce this).\n",
	+ " setTimeout(function () { fig.push_to_output() }, 1000);\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._init_toolbar = function() {\n",
	+ " var fig = this;\n",
	+ "\n",
	+ " var nav_element = $('<div/>')\n",
	+ " nav_element.attr('style', 'width: 100%');\n",
	+ " this.root.append(nav_element);\n",
	+ "\n",
	+ " // Define a callback function for later on.\n",
	+ " function toolbar_event(event) {\n",
	+ " return fig.toolbar_button_onclick(event['data']);\n",
	+ " }\n",
	+ " function toolbar_mouse_event(event) {\n",
	+ " return fig.toolbar_button_onmouseover(event['data']);\n",
	+ " }\n",
	+ "\n",
	+ " for(var toolbar_ind in mpl.toolbar_items){\n",
	+ " var name = mpl.toolbar_items[toolbar_ind][0];\n",
	+ " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
	+ " var image = mpl.toolbar_items[toolbar_ind][2];\n",
	+ " var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
	+ "\n",
	+ " if (!name) { continue; };\n",
	+ "\n",
	+ " var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
	+ " button.click(method_name, toolbar_event);\n",
	+ " button.mouseover(tooltip, toolbar_mouse_event);\n",
	+ " nav_element.append(button);\n",
	+ " }\n",
	+ "\n",
	+ " // Add the status bar.\n",
	+ " var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
	+ " nav_element.append(status_bar);\n",
	+ " this.message = status_bar[0];\n",
	+ "\n",
	+ " // Add the close button to the window.\n",
	+ " var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
	+ " var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
	+ " button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
	+ " button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
	+ " buttongrp.append(button);\n",
	+ " var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
	+ " titlebar.prepend(buttongrp);\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._root_extra_style = function(el){\n",
	+ " var fig = this\n",
	+ " el.on(\"remove\", function(){\n",
	+ "\tfig.close_ws(fig, {});\n",
	+ " });\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._canvas_extra_style = function(el){\n",
	+ " // this is important to make the div 'focusable\n",
	+ " el.attr('tabindex', 0)\n",
	+ " // reach out to IPython and tell the keyboard manager to turn it's self\n",
	+ " // off when our div gets focus\n",
	+ "\n",
	+ " // location in version 3\n",
	+ " if (IPython.notebook.keyboard_manager) {\n",
	+ " IPython.notebook.keyboard_manager.register_events(el);\n",
	+ " }\n",
	+ " else {\n",
	+ " // location in version 2\n",
	+ " IPython.keyboard_manager.register_events(el);\n",
	+ " }\n",
	+ "\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
	+ " var manager = IPython.notebook.keyboard_manager;\n",
	+ " if (!manager)\n",
	+ " manager = IPython.keyboard_manager;\n",
	+ "\n",
	+ " // Check for shift+enter\n",
	+ " if (event.shiftKey && event.which == 13) {\n",
	+ " this.canvas_div.blur();\n",
	+ " event.shiftKey = false;\n",
	+ " // Send a \"J\" for go to next cell\n",
	+ " event.which = 74;\n",
	+ " event.keyCode = 74;\n",
	+ " manager.command_mode();\n",
	+ " manager.handle_keydown(event);\n",
	+ " }\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
	+ " fig.ondownload(fig, null);\n",
	+ "}\n",
	+ "\n",
	+ "\n",
	+ "mpl.find_output_cell = function(html_output) {\n",
	+ " // Return the cell and output element which can be found uniquely in the notebook.\n",
	+ " // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
	+ " // IPython event is triggered only after the cells have been serialised, which for\n",
	+ " // our purposes (turning an active figure into a static one), is too late.\n",
	+ " var cells = IPython.notebook.get_cells();\n",
	+ " var ncells = cells.length;\n",
	+ " for (var i=0; i<ncells; i++) {\n",
	+ " var cell = cells[i];\n",
	+ " if (cell.cell_type === 'code'){\n",
	+ " for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
	+ " var data = cell.output_area.outputs[j];\n",
	+ " if (data.data) {\n",
	+ " // IPython >= 3 moved mimebundle to data attribute of output\n",
	+ " data = data.data;\n",
	+ " }\n",
	+ " if (data['text/html'] == html_output) {\n",
	+ " return [cell, data, j];\n",
	+ " }\n",
	+ " }\n",
	+ " }\n",
	+ " }\n",
	+ "}\n",
	+ "\n",
	+ "// Register the function which deals with the matplotlib target/channel.\n",
	+ "// The kernel may be null if the page has been refreshed.\n",
	+ "if (IPython.notebook.kernel != null) {\n",
	+ " IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
	+ "}\n"
	+ ],
	+ "text/plain": [
	+ "<IPython.core.display.Javascript object>"
	+ ]
	+ },
	+ "metadata": {},
	+ "output_type": "display_data"
	+ },
	+ {
	+ "data": {
	+ "text/html": [
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\" width=\"640\">"
	+ ],
	+ "text/plain": [
	+ "<IPython.core.display.HTML object>"
	+ ]
	+ },
	+ "metadata": {},
	+ "output_type": "display_data"
	+ },
	+ {
	+ "data": {
	+ "text/plain": [
	+ "Text(0,0.5,'orientation')"
	+ ]
	+ },
	+ "execution_count": 22,
	+ "metadata": {},
	+ "output_type": "execute_result"
	+ }
	+ ],
	+ "source": [
	+ "var = x_crossval\n",
	+ "plt.figure()\n",
	+ "plt.scatter(var.NEIGUNG, var.AUSRICHTUN, c=(y_crossval), s=3)\n",
	+ "#var.mean_06_15h.hist(bins=100, range=(0,1))\n",
	+ "plt.colorbar()\n",
	+ "plt.xlabel('tilt')\n",
	+ "plt.ylabel('orientation')"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": null,
	+ "metadata": {},
	+ "outputs": [],
	+ "source": []
	+ }
	+ ],
	+ "metadata": {
	+ "kernelspec": {
	+ "display_name": "Python 3",
	+ "language": "python",
	+ "name": "python3"
	+ },
	+ "language_info": {
	+ "codemirror_mode": {
	+ "name": "ipython",
	+ "version": 3
	+ },
	+ "file_extension": ".py",
	+ "mimetype": "text/x-python",
	+ "name": "python",
	+ "nbconvert_exporter": "python",
	+ "pygments_lexer": "ipython3",
	+ "version": "3.6.4"
	+ }
	+ },
	+ "nbformat": 4,
	+ "nbformat_minor": 2
	+}
	diff --git a/Available_area/available_area.docx b/Available_area/available_area.docx
	new file mode 100644
	index 0000000..528ca92
	Binary files /dev/null and b/Available_area/available_area.docx differ
	diff --git a/Available_area/error_stats.xlsx b/Available_area/error_stats.xlsx
	new file mode 100644
	index 0000000..7fa3f18
	Binary files /dev/null and b/Available_area/error_stats.xlsx differ
	diff --git a/Panel_fitting/Postprocess_panelled_areas.ipynb b/Panel_fitting/Postprocess_panelled_areas.ipynb
	index 8d3292e..f00ec31 100644
	--- a/Panel_fitting/Postprocess_panelled_areas.ipynb
	+++ b/Panel_fitting/Postprocess_panelled_areas.ipynb
	@@ -1,3718 +1,5532 @@
	{
	"cells": [
	{
	"cell_type": "code",
	- "execution_count": 12,
	+ "execution_count": 2,
	"metadata": {},
	"outputs": [],
	"source": [
	"import pandas as pd\n",
	"import numpy as np\n",
	"import os\n",
	- "import geopandas as gpd\n",
	+ "# import geopandas as gpd\n",
	+ "# import fiona\n",
	"\n",
	"import matplotlib\n",
	"%matplotlib notebook\n",
	"import matplotlib.pyplot as plt"
	]
	},
	{
	"cell_type": "markdown",
	"metadata": {},
	"source": [
	"## Load data"
	]
	},
	{
	"cell_type": "code",
	- "execution_count": 2,
	+ "execution_count": 3,
	"metadata": {},
	"outputs": [],
	"source": [
	- "horiz_fp = '/Users/alinawalch/Documents/EPFL/data/rooftops/panel_stats_final/panelled_area_stats_CH_horizontal.csv'\n",
	- "vert_fp = '/Users/alinawalch/Documents/EPFL/data/rooftops/panel_stats_final/panelled_area_stats_CH_vertical.csv'\n",
	- "best_fp = '/Users/alinawalch/Documents/EPFL/data/rooftops/panel_stats_final/panelled_area_stats_CH_best.csv'"
	+ "horiz_fp = '/Users/alinawalch/Documents/EPFL/data/rooftops/panel_stats_final/panelled_area_stats_GVA_horizontal.csv'\n",
	+ "vert_fp = '/Users/alinawalch/Documents/EPFL/data/rooftops/panel_stats_final/panelled_area_stats_GVA_vertical.csv'\n",
	+ "best_fp = '/Users/alinawalch/Documents/EPFL/data/rooftops/panel_stats_final/panelled_area_stats_GVA_best.csv'"
	]
	},
	{
	"cell_type": "code",
	- "execution_count": 3,
	+ "execution_count": 4,
	"metadata": {},
	"outputs": [],
	"source": [
	"stats_horizontal = pd.read_csv(horiz_fp)\n",
	"stats_vertical = pd.read_csv(vert_fp)"
	]
	},
	{
	"cell_type": "markdown",
	"metadata": {},
	"source": [
	"## Merge data from horizontal and vertical panel fitting"
	]
	},
	{
	"cell_type": "code",
	- "execution_count": 4,
	+ "execution_count": 7,
	"metadata": {},
	"outputs": [],
	"source": [
	- "stats_both = stats_horizontal.loc[:,['DF_UID', 'FLAECHE', 'panel_tilt', 'NEIGUNG', 'n_corners']]\n",
	+ "stats_both = stats_horizontal.loc[:,['DF_UID', 'FLAECHE', 'panel_tilt', 'NEIGUNG']]\n",
	"stats_both['count_vert'] = stats_vertical.panel_count\n",
	"stats_both['count_horiz'] = stats_horizontal.panel_count"
	]
	},
	- {
	- "cell_type": "code",
	- "execution_count": 5,
	- "metadata": {},
	- "outputs": [],
	- "source": [
	- "def choose_alignment(row):\n",
	- " if row.count_vert > row.count_horiz: return 'vertical'\n",
	- " elif row.count_vert < row.count_horiz: return 'horizontal'\n",
	- " else: return 'equal'"
	- ]
	- },
	- {
	- "cell_type": "code",
	- "execution_count": 6,
	- "metadata": {},
	- "outputs": [],
	- "source": [
	- "stats_both['best_align'] = stats_both.apply(lambda x: choose_alignment(x), axis = 1)"
	- ]
	- },
	- {
	- "cell_type": "markdown",
	- "metadata": {},
	- "source": [
	- "## Group information by alignment and get statistics for each type of alignment"
	- ]
	- },
	- {
	- "cell_type": "code",
	- "execution_count": 7,
	- "metadata": {},
	- "outputs": [
	- {
	- "data": {
	- "text/html": [
	- "<div>\n",
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	- " <th></th>\n",
	- " <th>DF_UID</th>\n",
	- " <th>FLAECHE</th>\n",
	- " <th>panel_tilt</th>\n",
	- " <th>NEIGUNG</th>\n",
	- " <th>n_corners</th>\n",
	- " <th>count_vert</th>\n",
	- " <th>count_horiz</th>\n",
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	- " <tr>\n",
	- " <th>best_align</th>\n",
	- " <th></th>\n",
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	- " <tbody>\n",
	- " <tr>\n",
	- " <th>equal</th>\n",
	- " <td>2623881</td>\n",
	- " <td>2623881</td>\n",
	- " <td>2623881</td>\n",
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	- " <td>2623881</td>\n",
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	- " <tr>\n",
	- " <th>horizontal</th>\n",
	- " <td>4097891</td>\n",
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	- " <td>4097891</td>\n",
	- " <td>4097891</td>\n",
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	- " <td>4097891</td>\n",
	- " <td>4097891</td>\n",
	- " </tr>\n",
	- " <tr>\n",
	- " <th>vertical</th>\n",
	- " <td>2917459</td>\n",
	- " <td>2917459</td>\n",
	- " <td>2917459</td>\n",
	- " <td>2917459</td>\n",
	- " <td>1831566</td>\n",
	- " <td>2917459</td>\n",
	- " <td>2917459</td>\n",
	- " </tr>\n",
	- " </tbody>\n",
	- "</table>\n",
	- "</div>"
	- ],
	- "text/plain": [
	- " DF_UID FLAECHE panel_tilt NEIGUNG n_corners count_vert \\\n",
	- "best_align \n",
	- "equal 2623881 2623881 2623881 2623881 1522208 2623881 \n",
	- "horizontal 4097891 4097891 4097891 4097891 2585457 4097891 \n",
	- "vertical 2917459 2917459 2917459 2917459 1831566 2917459 \n",
	- "\n",
	- " count_horiz \n",
	- "best_align \n",
	- "equal 2623881 \n",
	- "horizontal 4097891 \n",
	- "vertical 2917459 "
	- ]
	- },
	- "execution_count": 7,
	- "metadata": {},
	- "output_type": "execute_result"
	- }
	- ],
	- "source": [
	- "stats_both.groupby('best_align').count()"
	- ]
	- },
	{
	"cell_type": "code",
	"execution_count": 9,
	- "metadata": {},
	- "outputs": [
	- {
	- "name": "stdout",
	- "output_type": "stream",
	- "text": [
	- "Percentage of equal alignment: 0.272209\n",
	- "Percentage of horizontal alignment: 0.425126\n",
	- "Percentage of vertical alignment: 0.302665\n"
	- ]
	- }
	- ],
	- "source": [
	- "print('Percentage of equal alignment: %f' %(2623881 / len(stats_both)))\n",
	- "print('Percentage of horizontal alignment: %f' %(4097891 / len(stats_both)))\n",
	- "print('Percentage of vertical alignment: %f' %(2917459 / len(stats_both)))"
	- ]
	- },
	- {
	- "cell_type": "code",
	- "execution_count": 10,
	- "metadata": {},
	+ "metadata": {
	+ "scrolled": true
	+ },
	"outputs": [],
	"source": [
	- "stats_both['count_diff'] = stats_vertical.panel_count - stats_horizontal.panel_count\n",
	- "stats_both['area_diff' ] = stats_vertical.panelled_area - stats_horizontal.panelled_area\n",
	- "stats_both['ratio_diff'] = stats_vertical.panelled_area_ratio - stats_horizontal.panelled_area_ratio"
	- ]
	- },
	- {
	- "cell_type": "code",
	- "execution_count": 11,
	- "metadata": {},
	- "outputs": [
	- {
	- "data": {
	- "text/html": [
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	- " <th>DF_UID</th>\n",
	- " <th>FLAECHE</th>\n",
	- " <th>panel_tilt</th>\n",
	- " <th>NEIGUNG</th>\n",
	- " <th>n_corners</th>\n",
	- " <th>count_vert</th>\n",
	- " <th>count_horiz</th>\n",
	- " <th>count_diff</th>\n",
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	- " <th>best_align</th>\n",
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	- " <th>equal</th>\n",
	- " <td>5.261449e+06</td>\n",
	- " <td>26.546095</td>\n",
	- " <td>29.257168</td>\n",
	- " <td>25.404543</td>\n",
	- " <td>4.321179</td>\n",
	- " <td>10.801050</td>\n",
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	- " <td>0.000000</td>\n",
	- " <td>0.000000</td>\n",
	- " </tr>\n",
	- " <tr>\n",
	- " <th>horizontal</th>\n",
	- " <td>4.877124e+06</td>\n",
	- " <td>80.429830</td>\n",
	- " <td>28.106198</td>\n",
	- " <td>25.684142</td>\n",
	- " <td>4.996676</td>\n",
	- " <td>36.811836</td>\n",
	- " <td>40.636235</td>\n",
	- " <td>-3.824399</td>\n",
	- " <td>-6.082842</td>\n",
	- " <td>-0.129287</td>\n",
	- " </tr>\n",
	- " <tr>\n",
	- " <th>vertical</th>\n",
	- " <td>4.863868e+06</td>\n",
	- " <td>84.093826</td>\n",
	- " <td>28.413321</td>\n",
	- " <td>23.406957</td>\n",
	- " <td>5.182111</td>\n",
	- " <td>39.951568</td>\n",
	- " <td>37.076717</td>\n",
	- " <td>2.874850</td>\n",
	- " <td>4.517988</td>\n",
	- " <td>0.108342</td>\n",
	- " </tr>\n",
	- " </tbody>\n",
	- "</table>\n",
	- "</div>"
	- ],
	- "text/plain": [
	- " DF_UID FLAECHE panel_tilt NEIGUNG n_corners \\\n",
	- "best_align \n",
	- "equal 5.261449e+06 26.546095 29.257168 25.404543 4.321179 \n",
	- "horizontal 4.877124e+06 80.429830 28.106198 25.684142 4.996676 \n",
	- "vertical 4.863868e+06 84.093826 28.413321 23.406957 5.182111 \n",
	- "\n",
	- " count_vert count_horiz count_diff area_diff ratio_diff \n",
	- "best_align \n",
	- "equal 10.801050 10.801050 0.000000 0.000000 0.000000 \n",
	- "horizontal 36.811836 40.636235 -3.824399 -6.082842 -0.129287 \n",
	- "vertical 39.951568 37.076717 2.874850 4.517988 0.108342 "
	- ]
	- },
	- "execution_count": 11,
	- "metadata": {},
	- "output_type": "execute_result"
	- }
	- ],
	- "source": [
	- "stats_both.groupby('best_align').mean()"
	+ "stats_both.loc[stats_both.count_vert > stats_both.count_horiz, 'best_align'] = 'vertical'\n",
	+ "stats_both.loc[stats_both.count_vert < stats_both.count_horiz, 'best_align'] = 'horizontal'\n",
	+ "stats_both.loc[stats_both.count_vert == stats_both.count_horiz, 'best_align'] = 'equal'"
	]
	},
	{
	"cell_type": "code",
	- "execution_count": 12,
	+ "execution_count": 10,
	"metadata": {
	"scrolled": true
	},
	"outputs": [
	{
	"data": {
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	- " <td>44</td>\n",
	- " <td>44</td>\n",
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	- " <td>12</td>\n",
	- " <td>12</td>\n",
	- " <td>4.0</td>\n",
	- " <td>32.0</td>\n",
	- " <td>35.0</td>\n",
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	- " <td>4</td>\n",
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	" <td>4.0</td>\n",
	- " <td>16.0</td>\n",
	- " <td>20.0</td>\n",
	- " <td>horizontal</td>\n",
	- " <td>-4.0</td>\n",
	- " <td>-6.4</td>\n",
	- " <td>-0.166802</td>\n",
	- " </tr>\n",
	- " <tr>\n",
	- " <th>4</th>\n",
	- " <td>5</td>\n",
	- " <td>36.403273</td>\n",
	- " <td>35</td>\n",
	- " <td>35</td>\n",
	- " <td>4.0</td>\n",
	- " <td>14.0</td>\n",
	- " <td>16.0</td>\n",
	- " <td>horizontal</td>\n",
	- " <td>-2.0</td>\n",
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	- "</table>\n",
	- "</div>"
	- ],
	- "text/plain": [
	- " DF_UID FLAECHE panel_tilt NEIGUNG n_corners count_vert count_horiz \\\n",
	- "0 1 15.948816 37 37 4.0 5.0 7.0 \n",
	- "1 2 13.730555 44 44 4.0 6.0 6.0 \n",
	- "2 3 63.437476 12 12 4.0 32.0 35.0 \n",
	- "3 4 38.368910 33 33 4.0 16.0 20.0 \n",
	- "4 5 36.403273 35 35 4.0 14.0 16.0 \n",
	- "\n",
	- " best_align count_diff area_diff ratio_diff \n",
	- "0 horizontal -2.0 -3.2 -0.200642 \n",
	- "1 equal 0.0 0.0 0.000000 \n",
	- "2 horizontal -3.0 -4.8 -0.075665 \n",
	- "3 horizontal -4.0 -6.4 -0.166802 \n",
	- "4 horizontal -2.0 -3.2 -0.087904 "
	- ]
	- },
	- "execution_count": 12,
	- "metadata": {},
	- "output_type": "execute_result"
	- }
	- ],
	- "source": [
	- "stats_both.head()"
	- ]
	- },
	- {
	- "cell_type": "markdown",
	- "metadata": {},
	- "source": [
	- "## Create a dataframe with optimal alignment"
	- ]
	- },
	- {
	- "cell_type": "code",
	- "execution_count": 13,
	- "metadata": {},
	- "outputs": [],
	- "source": [
	- "stats_best = stats_both.loc[:, ['DF_UID', 'panel_tilt', 'best_align']]"
	- ]
	- },
	- {
	- "cell_type": "code",
	- "execution_count": 14,
	- "metadata": {},
	- "outputs": [],
	- "source": [
	- "stats_best['panel_count'] = stats_horizontal.panel_count\n",
	- "stats_best['panelled_area'] = stats_horizontal.panelled_area\n",
	- "stats_best['panelled_area_ratio'] = stats_horizontal.panelled_area_ratio"
	- ]
	- },
	- {
	- "cell_type": "code",
	- "execution_count": 15,
	- "metadata": {},
	- "outputs": [],
	- "source": [
	- "idx_vertical_align = stats_both.best_align == 'vertical'"
	- ]
	- },
	- {
	- "cell_type": "code",
	- "execution_count": 16,
	- "metadata": {},
	- "outputs": [],
	- "source": [
	- "stats_best.loc[idx_vertical_align, 'panel_count'] = stats_vertical.loc[idx_vertical_align, 'panel_count'].values\n",
	- "stats_best.loc[idx_vertical_align, 'panelled_area'] = stats_vertical.loc[idx_vertical_align, 'panelled_area'].values\n",
	- "stats_best.loc[idx_vertical_align, 'panelled_area_ratio'] = stats_vertical.loc[idx_vertical_align, 'panelled_area_ratio'].values"
	- ]
	- },
	- {
	- "cell_type": "code",
	- "execution_count": 17,
	- "metadata": {
	- "scrolled": true
	- },
	- "outputs": [
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	- " <td>6.0</td>\n",
	- " <td>9.600000</td>\n",
	- " <td>0.699171</td>\n",
	- " </tr>\n",
	- " <tr>\n",
	- " <th>2</th>\n",
	- " <td>3</td>\n",
	- " <td>12</td>\n",
	- " <td>horizontal</td>\n",
	- " <td>35.0</td>\n",
	- " <td>56.000000</td>\n",
	- " <td>0.882759</td>\n",
	- " </tr>\n",
	- " <tr>\n",
	- " <th>3</th>\n",
	- " <td>4</td>\n",
	- " <td>33</td>\n",
	+ " <td>5.0</td>\n",
	" <td>horizontal</td>\n",
	- " <td>20.0</td>\n",
	- " <td>32.000000</td>\n",
	- " <td>0.834009</td>\n",
	" </tr>\n",
	" <tr>\n",
	" <th>4</th>\n",
	- " <td>5</td>\n",
	- " <td>35</td>\n",
	- " <td>horizontal</td>\n",
	- " <td>16.0</td>\n",
	- " <td>25.600000</td>\n",
	- " <td>0.703233</td>\n",
	+ " <td>4817428</td>\n",
	+ " <td>81.256555</td>\n",
	+ " <td>28</td>\n",
	+ " <td>28</td>\n",
	+ " <td>36.0</td>\n",
	+ " <td>31.0</td>\n",
	+ " <td>vertical</td>\n",
	" </tr>\n",
	" <tr>\n",
	" <th>5</th>\n",
	- " <td>6</td>\n",
	- " <td>16</td>\n",
	- " <td>horizontal</td>\n",
	- " <td>24.0</td>\n",
	- " <td>38.400000</td>\n",
	- " <td>0.834208</td>\n",
	+ " <td>4817429</td>\n",
	+ " <td>11.397236</td>\n",
	+ " <td>27</td>\n",
	+ " <td>27</td>\n",
	+ " <td>1.0</td>\n",
	+ " <td>1.0</td>\n",
	+ " <td>equal</td>\n",
	" </tr>\n",
	" <tr>\n",
	" <th>6</th>\n",
	- " <td>7</td>\n",
	- " <td>9</td>\n",
	- " <td>horizontal</td>\n",
	- " <td>8.0</td>\n",
	- " <td>12.800000</td>\n",
	- " <td>0.777743</td>\n",
	+ " <td>4817430</td>\n",
	+ " <td>11.262413</td>\n",
	+ " <td>27</td>\n",
	+ " <td>27</td>\n",
	+ " <td>0.0</td>\n",
	+ " <td>0.0</td>\n",
	+ " <td>equal</td>\n",
	" </tr>\n",
	" <tr>\n",
	" <th>7</th>\n",
	- " <td>8</td>\n",
	- " <td>21</td>\n",
	- " <td>equal</td>\n",
	- " <td>21.0</td>\n",
	- " <td>33.600000</td>\n",
	- " <td>0.703308</td>\n",
	+ " <td>4817431</td>\n",
	+ " <td>174.501987</td>\n",
	+ " <td>31</td>\n",
	+ " <td>31</td>\n",
	+ " <td>88.0</td>\n",
	+ " <td>84.0</td>\n",
	+ " <td>vertical</td>\n",
	" </tr>\n",
	" <tr>\n",
	" <th>8</th>\n",
	- " <td>10</td>\n",
	- " <td>44</td>\n",
	- " <td>horizontal</td>\n",
	- " <td>110.0</td>\n",
	- " <td>176.000000</td>\n",
	- " <td>0.958627</td>\n",
	+ " <td>4817432</td>\n",
	+ " <td>174.108293</td>\n",
	+ " <td>31</td>\n",
	+ " <td>31</td>\n",
	+ " <td>88.0</td>\n",
	+ " <td>84.0</td>\n",
	+ " <td>vertical</td>\n",
	" </tr>\n",
	" <tr>\n",
	" <th>9</th>\n",
	- " <td>11</td>\n",
	- " <td>37</td>\n",
	+ " <td>4817433</td>\n",
	+ " <td>69.216255</td>\n",
	+ " <td>26</td>\n",
	+ " <td>26</td>\n",
	+ " <td>9.0</td>\n",
	+ " <td>12.0</td>\n",
	" <td>horizontal</td>\n",
	- " <td>79.0</td>\n",
	- " <td>126.400000</td>\n",
	- " <td>0.892854</td>\n",
	" </tr>\n",
	" <tr>\n",
	" <th>10</th>\n",
	- " <td>12</td>\n",
	- " <td>36</td>\n",
	+ " <td>4817434</td>\n",
	+ " <td>26.716480</td>\n",
	+ " <td>31</td>\n",
	+ " <td>31</td>\n",
	+ " <td>7.0</td>\n",
	+ " <td>8.0</td>\n",
	" <td>horizontal</td>\n",
	- " <td>10.0</td>\n",
	- " <td>16.000000</td>\n",
	- " <td>0.715020</td>\n",
	" </tr>\n",
	" <tr>\n",
	" <th>11</th>\n",
	- " <td>13</td>\n",
	- " <td>42</td>\n",
	- " <td>vertical</td>\n",
	+ " <td>4817435</td>\n",
	+ " <td>26.018729</td>\n",
	+ " <td>31</td>\n",
	+ " <td>31</td>\n",
	+ " <td>6.0</td>\n",
	" <td>8.0</td>\n",
	- " <td>12.800000</td>\n",
	- " <td>0.656516</td>\n",
	+ " <td>horizontal</td>\n",
	" </tr>\n",
	" <tr>\n",
	" <th>12</th>\n",
	- " <td>14</td>\n",
	- " <td>28</td>\n",
	- " <td>vertical</td>\n",
	- " <td>6.0</td>\n",
	- " <td>9.600000</td>\n",
	- " <td>0.614019</td>\n",
	+ " <td>4817436</td>\n",
	+ " <td>13.309012</td>\n",
	+ " <td>33</td>\n",
	+ " <td>33</td>\n",
	+ " <td>2.0</td>\n",
	+ " <td>2.0</td>\n",
	+ " <td>equal</td>\n",
	" </tr>\n",
	" <tr>\n",
	" <th>13</th>\n",
	- " <td>15</td>\n",
	- " <td>36</td>\n",
	- " <td>horizontal</td>\n",
	- " <td>7.0</td>\n",
	- " <td>11.200000</td>\n",
	- " <td>0.846134</td>\n",
	+ " <td>4817437</td>\n",
	+ " <td>13.503089</td>\n",
	+ " <td>32</td>\n",
	+ " <td>32</td>\n",
	+ " <td>2.0</td>\n",
	+ " <td>1.0</td>\n",
	+ " <td>vertical</td>\n",
	" </tr>\n",
	" <tr>\n",
	" <th>14</th>\n",
	- " <td>16</td>\n",
	- " <td>41</td>\n",
	- " <td>horizontal</td>\n",
	- " <td>241.0</td>\n",
	- " <td>385.600000</td>\n",
	- " <td>0.910166</td>\n",
	+ " <td>4817438</td>\n",
	+ " <td>130.038144</td>\n",
	+ " <td>26</td>\n",
	+ " <td>26</td>\n",
	+ " <td>54.0</td>\n",
	+ " <td>51.0</td>\n",
	+ " <td>vertical</td>\n",
	" </tr>\n",
	" <tr>\n",
	" <th>15</th>\n",
	- " <td>17</td>\n",
	- " <td>28</td>\n",
	- " <td>horizontal</td>\n",
	- " <td>258.0</td>\n",
	- " <td>412.800000</td>\n",
	- " <td>0.884532</td>\n",
	- " </tr>\n",
	- " <tr>\n",
	- " <th>16</th>\n",
	- " <td>18</td>\n",
	- " <td>45</td>\n",
	+ " <td>4817439</td>\n",
	+ " <td>126.475108</td>\n",
	+ " <td>26</td>\n",
	+ " <td>26</td>\n",
	+ " <td>54.0</td>\n",
	+ " <td>51.0</td>\n",
	" <td>vertical</td>\n",
	- " <td>86.0</td>\n",
	- " <td>137.600000</td>\n",
	- " <td>0.847003</td>\n",
	" </tr>\n",
	" <tr>\n",
	- " <th>17</th>\n",
	- " <td>19</td>\n",
	- " <td>45</td>\n",
	- " <td>vertical</td>\n",
	- " <td>104.0</td>\n",
	- " <td>166.400000</td>\n",
	- " <td>0.881414</td>\n",
	+ " <th>16</th>\n",
	+ " <td>4817440</td>\n",
	+ " <td>47.540096</td>\n",
	+ " <td>37</td>\n",
	+ " <td>37</td>\n",
	+ " <td>16.0</td>\n",
	+ " <td>20.0</td>\n",
	+ " <td>horizontal</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>17</th>\n",
	+ " <td>4817441</td>\n",
	+ " <td>35.497241</td>\n",
	+ " <td>32</td>\n",
	+ " <td>32</td>\n",
	+ " <td>8.0</td>\n",
	+ " <td>10.0</td>\n",
	+ " <td>horizontal</td>\n",
	" </tr>\n",
	" <tr>\n",
	" <th>18</th>\n",
	- " <td>20</td>\n",
	- " <td>56</td>\n",
	+ " <td>4817442</td>\n",
	+ " <td>49.847956</td>\n",
	+ " <td>38</td>\n",
	+ " <td>38</td>\n",
	+ " <td>20.0</td>\n",
	+ " <td>18.0</td>\n",
	" <td>vertical</td>\n",
	- " <td>4.0</td>\n",
	- " <td>6.400000</td>\n",
	- " <td>0.509973</td>\n",
	" </tr>\n",
	" <tr>\n",
	" <th>19</th>\n",
	- " <td>21</td>\n",
	- " <td>56</td>\n",
	- " <td>vertical</td>\n",
	- " <td>4.0</td>\n",
	- " <td>6.400000</td>\n",
	- " <td>0.509860</td>\n",
	+ " <td>4817443</td>\n",
	+ " <td>74.607733</td>\n",
	+ " <td>40</td>\n",
	+ " <td>40</td>\n",
	+ " <td>30.0</td>\n",
	+ " <td>30.0</td>\n",
	+ " <td>equal</td>\n",
	" </tr>\n",
	" <tr>\n",
	" <th>20</th>\n",
	- " <td>22</td>\n",
	- " <td>48</td>\n",
	- " <td>horizontal</td>\n",
	- " <td>24.0</td>\n",
	- " <td>38.400000</td>\n",
	- " <td>0.790360</td>\n",
	+ " <td>4817444</td>\n",
	+ " <td>12.607657</td>\n",
	+ " <td>30</td>\n",
	+ " <td>0</td>\n",
	+ " <td>0.0</td>\n",
	+ " <td>0.0</td>\n",
	+ " <td>equal</td>\n",
	" </tr>\n",
	" <tr>\n",
	" <th>21</th>\n",
	- " <td>23</td>\n",
	- " <td>59</td>\n",
	- " <td>vertical</td>\n",
	- " <td>19.0</td>\n",
	- " <td>30.400000</td>\n",
	- " <td>0.715754</td>\n",
	+ " <td>4817446</td>\n",
	+ " <td>34.666521</td>\n",
	+ " <td>29</td>\n",
	+ " <td>29</td>\n",
	+ " <td>8.0</td>\n",
	+ " <td>10.0</td>\n",
	+ " <td>horizontal</td>\n",
	" </tr>\n",
	" <tr>\n",
	" <th>22</th>\n",
	- " <td>24</td>\n",
	- " <td>51</td>\n",
	+ " <td>4817447</td>\n",
	+ " <td>9.971017</td>\n",
	+ " <td>29</td>\n",
	+ " <td>29</td>\n",
	+ " <td>0.0</td>\n",
	+ " <td>1.0</td>\n",
	" <td>horizontal</td>\n",
	- " <td>22.0</td>\n",
	- " <td>35.200000</td>\n",
	- " <td>0.829748</td>\n",
	" </tr>\n",
	" <tr>\n",
	" <th>23</th>\n",
	- " <td>25</td>\n",
	- " <td>53</td>\n",
	- " <td>vertical</td>\n",
	- " <td>18.0</td>\n",
	- " <td>28.800000</td>\n",
	- " <td>0.704664</td>\n",
	+ " <td>4817448</td>\n",
	+ " <td>34.963254</td>\n",
	+ " <td>28</td>\n",
	+ " <td>28</td>\n",
	+ " <td>8.0</td>\n",
	+ " <td>10.0</td>\n",
	+ " <td>horizontal</td>\n",
	" </tr>\n",
	" <tr>\n",
	" <th>24</th>\n",
	- " <td>26</td>\n",
	- " <td>37</td>\n",
	- " <td>horizontal</td>\n",
	- " <td>16.0</td>\n",
	- " <td>25.600000</td>\n",
	- " <td>0.762291</td>\n",
	+ " <td>4817449</td>\n",
	+ " <td>19.979434</td>\n",
	+ " <td>7</td>\n",
	+ " <td>7</td>\n",
	+ " <td>8.0</td>\n",
	+ " <td>6.0</td>\n",
	+ " <td>vertical</td>\n",
	" </tr>\n",
	" <tr>\n",
	" <th>25</th>\n",
	- " <td>27</td>\n",
	- " <td>22</td>\n",
	- " <td>vertical</td>\n",
	- " <td>21.0</td>\n",
	- " <td>33.600000</td>\n",
	- " <td>0.917201</td>\n",
	+ " <td>4817450</td>\n",
	+ " <td>21.119847</td>\n",
	+ " <td>18</td>\n",
	+ " <td>18</td>\n",
	+ " <td>4.0</td>\n",
	+ " <td>6.0</td>\n",
	+ " <td>horizontal</td>\n",
	" </tr>\n",
	" <tr>\n",
	" <th>26</th>\n",
	- " <td>28</td>\n",
	- " <td>42</td>\n",
	+ " <td>4817451</td>\n",
	+ " <td>21.374411</td>\n",
	+ " <td>19</td>\n",
	+ " <td>19</td>\n",
	+ " <td>4.0</td>\n",
	+ " <td>6.0</td>\n",
	" <td>horizontal</td>\n",
	- " <td>95.0</td>\n",
	- " <td>152.000000</td>\n",
	- " <td>0.897367</td>\n",
	" </tr>\n",
	" <tr>\n",
	" <th>27</th>\n",
	- " <td>29</td>\n",
	- " <td>30</td>\n",
	- " <td>vertical</td>\n",
	- " <td>72.0</td>\n",
	- " <td>115.200000</td>\n",
	- " <td>0.902937</td>\n",
	+ " <td>4817452</td>\n",
	+ " <td>68.854261</td>\n",
	+ " <td>35</td>\n",
	+ " <td>35</td>\n",
	+ " <td>27.0</td>\n",
	+ " <td>30.0</td>\n",
	+ " <td>horizontal</td>\n",
	" </tr>\n",
	" <tr>\n",
	" <th>28</th>\n",
	- " <td>30</td>\n",
	- " <td>30</td>\n",
	- " <td>vertical</td>\n",
	- " <td>29.0</td>\n",
	- " <td>46.400000</td>\n",
	- " <td>0.805035</td>\n",
	+ " <td>4817453</td>\n",
	+ " <td>52.296595</td>\n",
	+ " <td>34</td>\n",
	+ " <td>34</td>\n",
	+ " <td>18.0</td>\n",
	+ " <td>22.0</td>\n",
	+ " <td>horizontal</td>\n",
	" </tr>\n",
	" <tr>\n",
	" <th>29</th>\n",
	- " <td>31</td>\n",
	- " <td>32</td>\n",
	- " <td>horizontal</td>\n",
	- " <td>9.0</td>\n",
	- " <td>14.400000</td>\n",
	- " <td>0.849311</td>\n",
	+ " <td>4817458</td>\n",
	+ " <td>258.858167</td>\n",
	+ " <td>34</td>\n",
	+ " <td>34</td>\n",
	+ " <td>135.0</td>\n",
	+ " <td>132.0</td>\n",
	+ " <td>vertical</td>\n",
	" </tr>\n",
	" <tr>\n",
	" <th>...</th>\n",
	" <td>...</td>\n",
	" <td>...</td>\n",
	" <td>...</td>\n",
	" <td>...</td>\n",
	" <td>...</td>\n",
	" <td>...</td>\n",
	+ " <td>...</td>\n",
	" </tr>\n",
	" <tr>\n",
	- " <th>9639201</th>\n",
	- " <td>9889994</td>\n",
	+ " <th>189249</th>\n",
	+ " <td>5124497</td>\n",
	+ " <td>139.413591</td>\n",
	" <td>30</td>\n",
	+ " <td>30</td>\n",
	+ " <td>53.0</td>\n",
	+ " <td>59.0</td>\n",
	" <td>horizontal</td>\n",
	- " <td>3.0</td>\n",
	- " <td>4.156922</td>\n",
	- " <td>0.398645</td>\n",
	" </tr>\n",
	" <tr>\n",
	- " <th>9639202</th>\n",
	- " <td>9889995</td>\n",
	+ " <th>189250</th>\n",
	+ " <td>5124498</td>\n",
	+ " <td>137.530298</td>\n",
	" <td>30</td>\n",
	- " <td>equal</td>\n",
	- " <td>2.0</td>\n",
	- " <td>2.771281</td>\n",
	- " <td>0.374324</td>\n",
	- " </tr>\n",
	- " <tr>\n",
	- " <th>9639203</th>\n",
	- " <td>9889996</td>\n",
	" <td>30</td>\n",
	- " <td>equal</td>\n",
	- " <td>27.0</td>\n",
	- " <td>37.412297</td>\n",
	- " <td>0.402444</td>\n",
	- " </tr>\n",
	- " <tr>\n",
	- " <th>9639204</th>\n",
	- " <td>9889997</td>\n",
	- " <td>42</td>\n",
	- " <td>vertical</td>\n",
	- " <td>30.0</td>\n",
	- " <td>48.000000</td>\n",
	- " <td>0.910927</td>\n",
	- " </tr>\n",
	- " <tr>\n",
	- " <th>9639205</th>\n",
	- " <td>9889998</td>\n",
	- " <td>35</td>\n",
	- " <td>vertical</td>\n",
	- " <td>24.0</td>\n",
	- " <td>38.400000</td>\n",
	- " <td>0.866118</td>\n",
	- " </tr>\n",
	- " <tr>\n",
	- " <th>9639206</th>\n",
	- " <td>9889999</td>\n",
	- " <td>42</td>\n",
	- " <td>vertical</td>\n",
	- " <td>69.0</td>\n",
	- " <td>110.400000</td>\n",
	- " <td>0.942965</td>\n",
	+ " <td>54.0</td>\n",
	+ " <td>55.0</td>\n",
	+ " <td>horizontal</td>\n",
	" </tr>\n",
	" <tr>\n",
	- " <th>9639207</th>\n",
	- " <td>9890000</td>\n",
	- " <td>35</td>\n",
	- " <td>vertical</td>\n",
	- " <td>102.0</td>\n",
	- " <td>163.200000</td>\n",
	- " <td>0.878266</td>\n",
	+ " <th>189251</th>\n",
	+ " <td>5124499</td>\n",
	+ " <td>92.630815</td>\n",
	+ " <td>7</td>\n",
	+ " <td>7</td>\n",
	+ " <td>38.0</td>\n",
	+ " <td>38.0</td>\n",
	+ " <td>equal</td>\n",
	" </tr>\n",
	" <tr>\n",
	- " <th>9639208</th>\n",
	- " <td>9890001</td>\n",
	- " <td>27</td>\n",
	+ " <th>189252</th>\n",
	+ " <td>5124500</td>\n",
	+ " <td>44.081253</td>\n",
	+ " <td>7</td>\n",
	+ " <td>7</td>\n",
	+ " <td>18.0</td>\n",
	+ " <td>15.0</td>\n",
	" <td>vertical</td>\n",
	- " <td>33.0</td>\n",
	- " <td>52.800000</td>\n",
	- " <td>0.766181</td>\n",
	" </tr>\n",
	" <tr>\n",
	- " <th>9639209</th>\n",
	- " <td>9890002</td>\n",
	+ " <th>189253</th>\n",
	+ " <td>5124501</td>\n",
	+ " <td>12.602429</td>\n",
	" <td>30</td>\n",
	- " <td>vertical</td>\n",
	- " <td>4.0</td>\n",
	- " <td>5.542563</td>\n",
	- " <td>0.464282</td>\n",
	- " </tr>\n",
	- " <tr>\n",
	- " <th>9639210</th>\n",
	- " <td>9890003</td>\n",
	- " <td>27</td>\n",
	- " <td>vertical</td>\n",
	- " <td>72.0</td>\n",
	- " <td>115.200000</td>\n",
	- " <td>0.861629</td>\n",
	- " </tr>\n",
	- " <tr>\n",
	- " <th>9639211</th>\n",
	- " <td>9890004</td>\n",
	- " <td>36</td>\n",
	- " <td>vertical</td>\n",
	- " <td>36.0</td>\n",
	- " <td>57.600000</td>\n",
	- " <td>0.802521</td>\n",
	- " </tr>\n",
	- " <tr>\n",
	- " <th>9639212</th>\n",
	- " <td>9890005</td>\n",
	- " <td>43</td>\n",
	+ " <td>0</td>\n",
	+ " <td>0.0</td>\n",
	+ " <td>0.0</td>\n",
	" <td>equal</td>\n",
	- " <td>13.0</td>\n",
	- " <td>20.800000</td>\n",
	- " <td>0.586660</td>\n",
	" </tr>\n",
	" <tr>\n",
	- " <th>9639213</th>\n",
	- " <td>9890006</td>\n",
	- " <td>44</td>\n",
	+ " <th>189254</th>\n",
	+ " <td>5124502</td>\n",
	+ " <td>14.119724</td>\n",
	+ " <td>11</td>\n",
	+ " <td>11</td>\n",
	+ " <td>3.0</td>\n",
	+ " <td>4.0</td>\n",
	" <td>horizontal</td>\n",
	- " <td>13.0</td>\n",
	- " <td>20.800000</td>\n",
	- " <td>0.597841</td>\n",
	" </tr>\n",
	" <tr>\n",
	- " <th>9639214</th>\n",
	- " <td>9890007</td>\n",
	- " <td>45</td>\n",
	+ " <th>189255</th>\n",
	+ " <td>5124503</td>\n",
	+ " <td>36.753693</td>\n",
	+ " <td>21</td>\n",
	+ " <td>21</td>\n",
	+ " <td>12.0</td>\n",
	+ " <td>12.0</td>\n",
	" <td>equal</td>\n",
	- " <td>2.0</td>\n",
	- " <td>3.200000</td>\n",
	- " <td>0.164630</td>\n",
	" </tr>\n",
	" <tr>\n",
	- " <th>9639215</th>\n",
	- " <td>9890008</td>\n",
	- " <td>44</td>\n",
	- " <td>horizontal</td>\n",
	- " <td>13.0</td>\n",
	- " <td>20.800000</td>\n",
	- " <td>0.601291</td>\n",
	+ " <th>189256</th>\n",
	+ " <td>5124504</td>\n",
	+ " <td>0.064896</td>\n",
	+ " <td>19</td>\n",
	+ " <td>19</td>\n",
	+ " <td>0.0</td>\n",
	+ " <td>0.0</td>\n",
	+ " <td>equal</td>\n",
	" </tr>\n",
	" <tr>\n",
	- " <th>9639216</th>\n",
	- " <td>9890009</td>\n",
	- " <td>46</td>\n",
	+ " <th>189257</th>\n",
	+ " <td>5124505</td>\n",
	+ " <td>36.179539</td>\n",
	+ " <td>19</td>\n",
	+ " <td>19</td>\n",
	+ " <td>12.0</td>\n",
	+ " <td>12.0</td>\n",
	" <td>equal</td>\n",
	- " <td>2.0</td>\n",
	- " <td>3.200000</td>\n",
	- " <td>0.550748</td>\n",
	" </tr>\n",
	" <tr>\n",
	- " <th>9639217</th>\n",
	- " <td>9890010</td>\n",
	- " <td>45</td>\n",
	- " <td>horizontal</td>\n",
	- " <td>1.0</td>\n",
	- " <td>1.600000</td>\n",
	- " <td>0.382313</td>\n",
	+ " <th>189258</th>\n",
	+ " <td>5124506</td>\n",
	+ " <td>57.609988</td>\n",
	+ " <td>17</td>\n",
	+ " <td>17</td>\n",
	+ " <td>25.0</td>\n",
	+ " <td>20.0</td>\n",
	+ " <td>vertical</td>\n",
	" </tr>\n",
	" <tr>\n",
	- " <th>9639218</th>\n",
	- " <td>9890011</td>\n",
	- " <td>49</td>\n",
	- " <td>equal</td>\n",
	- " <td>1.0</td>\n",
	- " <td>1.600000</td>\n",
	- " <td>0.290737</td>\n",
	+ " <th>189259</th>\n",
	+ " <td>5124507</td>\n",
	+ " <td>57.882063</td>\n",
	+ " <td>22</td>\n",
	+ " <td>22</td>\n",
	+ " <td>28.0</td>\n",
	+ " <td>24.0</td>\n",
	+ " <td>vertical</td>\n",
	" </tr>\n",
	" <tr>\n",
	- " <th>9639219</th>\n",
	- " <td>9890012</td>\n",
	+ " <th>189260</th>\n",
	+ " <td>5124508</td>\n",
	+ " <td>35.898733</td>\n",
	" <td>22</td>\n",
	+ " <td>22</td>\n",
	+ " <td>3.0</td>\n",
	+ " <td>8.0</td>\n",
	" <td>horizontal</td>\n",
	- " <td>20.0</td>\n",
	- " <td>32.000000</td>\n",
	- " <td>0.704338</td>\n",
	" </tr>\n",
	" <tr>\n",
	- " <th>9639220</th>\n",
	- " <td>9890013</td>\n",
	- " <td>23</td>\n",
	+ " <th>189261</th>\n",
	+ " <td>5124509</td>\n",
	+ " <td>88.059840</td>\n",
	+ " <td>20</td>\n",
	+ " <td>20</td>\n",
	+ " <td>34.0</td>\n",
	+ " <td>41.0</td>\n",
	" <td>horizontal</td>\n",
	- " <td>20.0</td>\n",
	- " <td>32.000000</td>\n",
	- " <td>0.741805</td>\n",
	" </tr>\n",
	" <tr>\n",
	- " <th>9639221</th>\n",
	- " <td>9890014</td>\n",
	- " <td>35</td>\n",
	+ " <th>189262</th>\n",
	+ " <td>5124510</td>\n",
	+ " <td>234.137426</td>\n",
	+ " <td>15</td>\n",
	+ " <td>15</td>\n",
	+ " <td>115.0</td>\n",
	+ " <td>126.0</td>\n",
	" <td>horizontal</td>\n",
	- " <td>49.0</td>\n",
	- " <td>78.400000</td>\n",
	- " <td>0.868882</td>\n",
	" </tr>\n",
	" <tr>\n",
	- " <th>9639222</th>\n",
	- " <td>9890015</td>\n",
	- " <td>33</td>\n",
	+ " <th>189263</th>\n",
	+ " <td>5124511</td>\n",
	+ " <td>232.447102</td>\n",
	+ " <td>16</td>\n",
	+ " <td>16</td>\n",
	+ " <td>115.0</td>\n",
	+ " <td>126.0</td>\n",
	" <td>horizontal</td>\n",
	- " <td>56.0</td>\n",
	- " <td>89.600000</td>\n",
	- " <td>0.949289</td>\n",
	" </tr>\n",
	" <tr>\n",
	- " <th>9639223</th>\n",
	- " <td>9890016</td>\n",
	- " <td>33</td>\n",
	+ " <th>189264</th>\n",
	+ " <td>5124512</td>\n",
	+ " <td>131.925651</td>\n",
	+ " <td>29</td>\n",
	+ " <td>29</td>\n",
	+ " <td>61.0</td>\n",
	+ " <td>49.0</td>\n",
	" <td>vertical</td>\n",
	- " <td>60.0</td>\n",
	- " <td>96.000000</td>\n",
	- " <td>0.938912</td>\n",
	" </tr>\n",
	" <tr>\n",
	- " <th>9639224</th>\n",
	- " <td>9890017</td>\n",
	- " <td>35</td>\n",
	- " <td>horizontal</td>\n",
	- " <td>54.0</td>\n",
	- " <td>86.400000</td>\n",
	- " <td>0.892811</td>\n",
	+ " <th>189265</th>\n",
	+ " <td>5124513</td>\n",
	+ " <td>137.339196</td>\n",
	+ " <td>28</td>\n",
	+ " <td>28</td>\n",
	+ " <td>66.0</td>\n",
	+ " <td>65.0</td>\n",
	+ " <td>vertical</td>\n",
	" </tr>\n",
	" <tr>\n",
	- " <th>9639225</th>\n",
	- " <td>9890018</td>\n",
	- " <td>31</td>\n",
	+ " <th>189266</th>\n",
	+ " <td>5124514</td>\n",
	+ " <td>21.008432</td>\n",
	+ " <td>23</td>\n",
	+ " <td>23</td>\n",
	+ " <td>5.0</td>\n",
	+ " <td>3.0</td>\n",
	" <td>vertical</td>\n",
	- " <td>189.0</td>\n",
	- " <td>302.400000</td>\n",
	- " <td>0.944433</td>\n",
	" </tr>\n",
	" <tr>\n",
	- " <th>9639226</th>\n",
	- " <td>9890019</td>\n",
	- " <td>33</td>\n",
	- " <td>horizontal</td>\n",
	- " <td>187.0</td>\n",
	- " <td>299.200000</td>\n",
	- " <td>0.974308</td>\n",
	+ " <th>189267</th>\n",
	+ " <td>5124515</td>\n",
	+ " <td>21.541363</td>\n",
	+ " <td>19</td>\n",
	+ " <td>19</td>\n",
	+ " <td>6.0</td>\n",
	+ " <td>6.0</td>\n",
	+ " <td>equal</td>\n",
	" </tr>\n",
	" <tr>\n",
	- " <th>9639227</th>\n",
	- " <td>9890020</td>\n",
	- " <td>4</td>\n",
	+ " <th>189268</th>\n",
	+ " <td>5124516</td>\n",
	+ " <td>33.342276</td>\n",
	+ " <td>17</td>\n",
	+ " <td>17</td>\n",
	+ " <td>14.0</td>\n",
	+ " <td>12.0</td>\n",
	+ " <td>vertical</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>189269</th>\n",
	+ " <td>5124517</td>\n",
	+ " <td>43.358052</td>\n",
	+ " <td>13</td>\n",
	+ " <td>13</td>\n",
	+ " <td>14.0</td>\n",
	+ " <td>16.0</td>\n",
	" <td>horizontal</td>\n",
	- " <td>10.0</td>\n",
	- " <td>16.000000</td>\n",
	- " <td>0.628508</td>\n",
	" </tr>\n",
	" <tr>\n",
	- " <th>9639228</th>\n",
	- " <td>9890021</td>\n",
	- " <td>7</td>\n",
	- " <td>equal</td>\n",
	- " <td>8.0</td>\n",
	- " <td>12.800000</td>\n",
	- " <td>0.633161</td>\n",
	+ " <th>189270</th>\n",
	+ " <td>5124518</td>\n",
	+ " <td>34.768271</td>\n",
	+ " <td>30</td>\n",
	+ " <td>0</td>\n",
	+ " <td>3.0</td>\n",
	+ " <td>2.0</td>\n",
	+ " <td>vertical</td>\n",
	" </tr>\n",
	" <tr>\n",
	- " <th>9639229</th>\n",
	- " <td>9890022</td>\n",
	+ " <th>189271</th>\n",
	+ " <td>5124519</td>\n",
	+ " <td>32.262272</td>\n",
	+ " <td>7</td>\n",
	" <td>7</td>\n",
	+ " <td>12.0</td>\n",
	+ " <td>10.0</td>\n",
	+ " <td>vertical</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>189272</th>\n",
	+ " <td>5124520</td>\n",
	+ " <td>14.249623</td>\n",
	+ " <td>25</td>\n",
	+ " <td>25</td>\n",
	+ " <td>4.0</td>\n",
	+ " <td>2.0</td>\n",
	+ " <td>vertical</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>189273</th>\n",
	+ " <td>5124523</td>\n",
	+ " <td>202.860586</td>\n",
	+ " <td>26</td>\n",
	+ " <td>26</td>\n",
	+ " <td>106.0</td>\n",
	+ " <td>102.0</td>\n",
	+ " <td>vertical</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>189274</th>\n",
	+ " <td>5124524</td>\n",
	+ " <td>221.668609</td>\n",
	+ " <td>25</td>\n",
	+ " <td>25</td>\n",
	+ " <td>93.0</td>\n",
	+ " <td>96.0</td>\n",
	" <td>horizontal</td>\n",
	- " <td>155.0</td>\n",
	- " <td>248.000000</td>\n",
	- " <td>0.937032</td>\n",
	" </tr>\n",
	" <tr>\n",
	- " <th>9639230</th>\n",
	- " <td>9890023</td>\n",
	- " <td>9</td>\n",
	+ " <th>189275</th>\n",
	+ " <td>5124525</td>\n",
	+ " <td>126.405824</td>\n",
	+ " <td>22</td>\n",
	+ " <td>22</td>\n",
	+ " <td>60.0</td>\n",
	+ " <td>60.0</td>\n",
	+ " <td>equal</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>189276</th>\n",
	+ " <td>5124526</td>\n",
	+ " <td>126.408740</td>\n",
	+ " <td>22</td>\n",
	+ " <td>22</td>\n",
	+ " <td>60.0</td>\n",
	+ " <td>60.0</td>\n",
	+ " <td>equal</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>189277</th>\n",
	+ " <td>5124527</td>\n",
	+ " <td>17.738624</td>\n",
	+ " <td>32</td>\n",
	+ " <td>32</td>\n",
	+ " <td>4.0</td>\n",
	+ " <td>4.0</td>\n",
	+ " <td>equal</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>189278</th>\n",
	+ " <td>5124528</td>\n",
	+ " <td>17.671450</td>\n",
	+ " <td>33</td>\n",
	+ " <td>33</td>\n",
	+ " <td>4.0</td>\n",
	+ " <td>4.0</td>\n",
	" <td>equal</td>\n",
	- " <td>78.0</td>\n",
	- " <td>124.800000</td>\n",
	- " <td>0.899218</td>\n",
	" </tr>\n",
	" </tbody>\n",
	"</table>\n",
	- "<p>9639231 rows × 6 columns</p>\n",
	+ "<p>189279 rows × 7 columns</p>\n",
	"</div>"
	],
	"text/plain": [
	- " DF_UID panel_tilt best_align panel_count panelled_area \\\n",
	- "0 1 37 horizontal 7.0 11.200000 \n",
	- "1 2 44 equal 6.0 9.600000 \n",
	- "2 3 12 horizontal 35.0 56.000000 \n",
	- "3 4 33 horizontal 20.0 32.000000 \n",
	- "4 5 35 horizontal 16.0 25.600000 \n",
	- "5 6 16 horizontal 24.0 38.400000 \n",
	- "6 7 9 horizontal 8.0 12.800000 \n",
	- "7 8 21 equal 21.0 33.600000 \n",
	- "8 10 44 horizontal 110.0 176.000000 \n",
	- "9 11 37 horizontal 79.0 126.400000 \n",
	- "10 12 36 horizontal 10.0 16.000000 \n",
	- "11 13 42 vertical 8.0 12.800000 \n",
	- "12 14 28 vertical 6.0 9.600000 \n",
	- "13 15 36 horizontal 7.0 11.200000 \n",
	- "14 16 41 horizontal 241.0 385.600000 \n",
	- "15 17 28 horizontal 258.0 412.800000 \n",
	- "16 18 45 vertical 86.0 137.600000 \n",
	- "17 19 45 vertical 104.0 166.400000 \n",
	- "18 20 56 vertical 4.0 6.400000 \n",
	- "19 21 56 vertical 4.0 6.400000 \n",
	- "20 22 48 horizontal 24.0 38.400000 \n",
	- "21 23 59 vertical 19.0 30.400000 \n",
	- "22 24 51 horizontal 22.0 35.200000 \n",
	- "23 25 53 vertical 18.0 28.800000 \n",
	- "24 26 37 horizontal 16.0 25.600000 \n",
	- "25 27 22 vertical 21.0 33.600000 \n",
	- "26 28 42 horizontal 95.0 152.000000 \n",
	- "27 29 30 vertical 72.0 115.200000 \n",
	- "28 30 30 vertical 29.0 46.400000 \n",
	- "29 31 32 horizontal 9.0 14.400000 \n",
	- "... ... ... ... ... ... \n",
	- "9639201 9889994 30 horizontal 3.0 4.156922 \n",
	- "9639202 9889995 30 equal 2.0 2.771281 \n",
	- "9639203 9889996 30 equal 27.0 37.412297 \n",
	- "9639204 9889997 42 vertical 30.0 48.000000 \n",
	- "9639205 9889998 35 vertical 24.0 38.400000 \n",
	- "9639206 9889999 42 vertical 69.0 110.400000 \n",
	- "9639207 9890000 35 vertical 102.0 163.200000 \n",
	- "9639208 9890001 27 vertical 33.0 52.800000 \n",
	- "9639209 9890002 30 vertical 4.0 5.542563 \n",
	- "9639210 9890003 27 vertical 72.0 115.200000 \n",
	- "9639211 9890004 36 vertical 36.0 57.600000 \n",
	- "9639212 9890005 43 equal 13.0 20.800000 \n",
	- "9639213 9890006 44 horizontal 13.0 20.800000 \n",
	- "9639214 9890007 45 equal 2.0 3.200000 \n",
	- "9639215 9890008 44 horizontal 13.0 20.800000 \n",
	- "9639216 9890009 46 equal 2.0 3.200000 \n",
	- "9639217 9890010 45 horizontal 1.0 1.600000 \n",
	- "9639218 9890011 49 equal 1.0 1.600000 \n",
	- "9639219 9890012 22 horizontal 20.0 32.000000 \n",
	- "9639220 9890013 23 horizontal 20.0 32.000000 \n",
	- "9639221 9890014 35 horizontal 49.0 78.400000 \n",
	- "9639222 9890015 33 horizontal 56.0 89.600000 \n",
	- "9639223 9890016 33 vertical 60.0 96.000000 \n",
	- "9639224 9890017 35 horizontal 54.0 86.400000 \n",
	- "9639225 9890018 31 vertical 189.0 302.400000 \n",
	- "9639226 9890019 33 horizontal 187.0 299.200000 \n",
	- "9639227 9890020 4 horizontal 10.0 16.000000 \n",
	- "9639228 9890021 7 equal 8.0 12.800000 \n",
	- "9639229 9890022 7 horizontal 155.0 248.000000 \n",
	- "9639230 9890023 9 equal 78.0 124.800000 \n",
	- "\n",
	- " panelled_area_ratio \n",
	- "0 0.702246 \n",
	- "1 0.699171 \n",
	- "2 0.882759 \n",
	- "3 0.834009 \n",
	- "4 0.703233 \n",
	- "5 0.834208 \n",
	- "6 0.777743 \n",
	- "7 0.703308 \n",
	- "8 0.958627 \n",
	- "9 0.892854 \n",
	- "10 0.715020 \n",
	- "11 0.656516 \n",
	- "12 0.614019 \n",
	- "13 0.846134 \n",
	- "14 0.910166 \n",
	- "15 0.884532 \n",
	- "16 0.847003 \n",
	- "17 0.881414 \n",
	- "18 0.509973 \n",
	- "19 0.509860 \n",
	- "20 0.790360 \n",
	- "21 0.715754 \n",
	- "22 0.829748 \n",
	- "23 0.704664 \n",
	- "24 0.762291 \n",
	- "25 0.917201 \n",
	- "26 0.897367 \n",
	- "27 0.902937 \n",
	- "28 0.805035 \n",
	- "29 0.849311 \n",
	- "... ... \n",
	- "9639201 0.398645 \n",
	- "9639202 0.374324 \n",
	- "9639203 0.402444 \n",
	- "9639204 0.910927 \n",
	- "9639205 0.866118 \n",
	- "9639206 0.942965 \n",
	- "9639207 0.878266 \n",
	- "9639208 0.766181 \n",
	- "9639209 0.464282 \n",
	- "9639210 0.861629 \n",
	- "9639211 0.802521 \n",
	- "9639212 0.586660 \n",
	- "9639213 0.597841 \n",
	- "9639214 0.164630 \n",
	- "9639215 0.601291 \n",
	- "9639216 0.550748 \n",
	- "9639217 0.382313 \n",
	- "9639218 0.290737 \n",
	- "9639219 0.704338 \n",
	- "9639220 0.741805 \n",
	- "9639221 0.868882 \n",
	- "9639222 0.949289 \n",
	- "9639223 0.938912 \n",
	- "9639224 0.892811 \n",
	- "9639225 0.944433 \n",
	- "9639226 0.974308 \n",
	- "9639227 0.628508 \n",
	- "9639228 0.633161 \n",
	- "9639229 0.937032 \n",
	- "9639230 0.899218 \n",
	- "\n",
	- "[9639231 rows x 6 columns]"
	+ " DF_UID FLAECHE panel_tilt NEIGUNG count_vert count_horiz \\\n",
	+ "0 4817410 71.487047 10 10 36.0 30.0 \n",
	+ "1 4817425 36.859836 37 37 4.0 4.0 \n",
	+ "2 4817426 51.333864 31 31 3.0 5.0 \n",
	+ "3 4817427 36.861447 37 37 4.0 5.0 \n",
	+ "4 4817428 81.256555 28 28 36.0 31.0 \n",
	+ "5 4817429 11.397236 27 27 1.0 1.0 \n",
	+ "6 4817430 11.262413 27 27 0.0 0.0 \n",
	+ "7 4817431 174.501987 31 31 88.0 84.0 \n",
	+ "8 4817432 174.108293 31 31 88.0 84.0 \n",
	+ "9 4817433 69.216255 26 26 9.0 12.0 \n",
	+ "10 4817434 26.716480 31 31 7.0 8.0 \n",
	+ "11 4817435 26.018729 31 31 6.0 8.0 \n",
	+ "12 4817436 13.309012 33 33 2.0 2.0 \n",
	+ "13 4817437 13.503089 32 32 2.0 1.0 \n",
	+ "14 4817438 130.038144 26 26 54.0 51.0 \n",
	+ "15 4817439 126.475108 26 26 54.0 51.0 \n",
	+ "16 4817440 47.540096 37 37 16.0 20.0 \n",
	+ "17 4817441 35.497241 32 32 8.0 10.0 \n",
	+ "18 4817442 49.847956 38 38 20.0 18.0 \n",
	+ "19 4817443 74.607733 40 40 30.0 30.0 \n",
	+ "20 4817444 12.607657 30 0 0.0 0.0 \n",
	+ "21 4817446 34.666521 29 29 8.0 10.0 \n",
	+ "22 4817447 9.971017 29 29 0.0 1.0 \n",
	+ "23 4817448 34.963254 28 28 8.0 10.0 \n",
	+ "24 4817449 19.979434 7 7 8.0 6.0 \n",
	+ "25 4817450 21.119847 18 18 4.0 6.0 \n",
	+ "26 4817451 21.374411 19 19 4.0 6.0 \n",
	+ "27 4817452 68.854261 35 35 27.0 30.0 \n",
	+ "28 4817453 52.296595 34 34 18.0 22.0 \n",
	+ "29 4817458 258.858167 34 34 135.0 132.0 \n",
	+ "... ... ... ... ... ... ... \n",
	+ "189249 5124497 139.413591 30 30 53.0 59.0 \n",
	+ "189250 5124498 137.530298 30 30 54.0 55.0 \n",
	+ "189251 5124499 92.630815 7 7 38.0 38.0 \n",
	+ "189252 5124500 44.081253 7 7 18.0 15.0 \n",
	+ "189253 5124501 12.602429 30 0 0.0 0.0 \n",
	+ "189254 5124502 14.119724 11 11 3.0 4.0 \n",
	+ "189255 5124503 36.753693 21 21 12.0 12.0 \n",
	+ "189256 5124504 0.064896 19 19 0.0 0.0 \n",
	+ "189257 5124505 36.179539 19 19 12.0 12.0 \n",
	+ "189258 5124506 57.609988 17 17 25.0 20.0 \n",
	+ "189259 5124507 57.882063 22 22 28.0 24.0 \n",
	+ "189260 5124508 35.898733 22 22 3.0 8.0 \n",
	+ "189261 5124509 88.059840 20 20 34.0 41.0 \n",
	+ "189262 5124510 234.137426 15 15 115.0 126.0 \n",
	+ "189263 5124511 232.447102 16 16 115.0 126.0 \n",
	+ "189264 5124512 131.925651 29 29 61.0 49.0 \n",
	+ "189265 5124513 137.339196 28 28 66.0 65.0 \n",
	+ "189266 5124514 21.008432 23 23 5.0 3.0 \n",
	+ "189267 5124515 21.541363 19 19 6.0 6.0 \n",
	+ "189268 5124516 33.342276 17 17 14.0 12.0 \n",
	+ "189269 5124517 43.358052 13 13 14.0 16.0 \n",
	+ "189270 5124518 34.768271 30 0 3.0 2.0 \n",
	+ "189271 5124519 32.262272 7 7 12.0 10.0 \n",
	+ "189272 5124520 14.249623 25 25 4.0 2.0 \n",
	+ "189273 5124523 202.860586 26 26 106.0 102.0 \n",
	+ "189274 5124524 221.668609 25 25 93.0 96.0 \n",
	+ "189275 5124525 126.405824 22 22 60.0 60.0 \n",
	+ "189276 5124526 126.408740 22 22 60.0 60.0 \n",
	+ "189277 5124527 17.738624 32 32 4.0 4.0 \n",
	+ "189278 5124528 17.671450 33 33 4.0 4.0 \n",
	+ "\n",
	+ " best_align \n",
	+ "0 vertical \n",
	+ "1 equal \n",
	+ "2 horizontal \n",
	+ "3 horizontal \n",
	+ "4 vertical \n",
	+ "5 equal \n",
	+ "6 equal \n",
	+ "7 vertical \n",
	+ "8 vertical \n",
	+ "9 horizontal \n",
	+ "10 horizontal \n",
	+ "11 horizontal \n",
	+ "12 equal \n",
	+ "13 vertical \n",
	+ "14 vertical \n",
	+ "15 vertical \n",
	+ "16 horizontal \n",
	+ "17 horizontal \n",
	+ "18 vertical \n",
	+ "19 equal \n",
	+ "20 equal \n",
	+ "21 horizontal \n",
	+ "22 horizontal \n",
	+ "23 horizontal \n",
	+ "24 vertical \n",
	+ "25 horizontal \n",
	+ "26 horizontal \n",
	+ "27 horizontal \n",
	+ "28 horizontal \n",
	+ "29 vertical \n",
	+ "... ... \n",
	+ "189249 horizontal \n",
	+ "189250 horizontal \n",
	+ "189251 equal \n",
	+ "189252 vertical \n",
	+ "189253 equal \n",
	+ "189254 horizontal \n",
	+ "189255 equal \n",
	+ "189256 equal \n",
	+ "189257 equal \n",
	+ "189258 vertical \n",
	+ "189259 vertical \n",
	+ "189260 horizontal \n",
	+ "189261 horizontal \n",
	+ "189262 horizontal \n",
	+ "189263 horizontal \n",
	+ "189264 vertical \n",
	+ "189265 vertical \n",
	+ "189266 vertical \n",
	+ "189267 equal \n",
	+ "189268 vertical \n",
	+ "189269 horizontal \n",
	+ "189270 vertical \n",
	+ "189271 vertical \n",
	+ "189272 vertical \n",
	+ "189273 vertical \n",
	+ "189274 horizontal \n",
	+ "189275 equal \n",
	+ "189276 equal \n",
	+ "189277 equal \n",
	+ "189278 equal \n",
	+ "\n",
	+ "[189279 rows x 7 columns]"
	]
	},
	- "execution_count": 17,
	+ "execution_count": 10,
	"metadata": {},
	"output_type": "execute_result"
	}
	],
	"source": [
	- "stats_best"
	+ "stats_both"
	]
	},
	{
	- "cell_type": "code",
	- "execution_count": 19,
	+ "cell_type": "markdown",
	"metadata": {},
	- "outputs": [],
	"source": [
	- "stats_best.to_csv(best_fp, index = False)"
	+ "## Group information by alignment and get statistics for each type of alignment"
	]
	},
	{
	"cell_type": "code",
	- "execution_count": null,
	- "metadata": {},
	- "outputs": [],
	- "source": []
	- },
	- {
	- "cell_type": "markdown",
	+ "execution_count": 11,
	"metadata": {},
	+ "outputs": [
	+ {
	+ "data": {
	+ "text/html": [
	+ "<div>\n",
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	+ "<table border=\"1\" class=\"dataframe\">\n",
	+ " <thead>\n",
	+ " <tr style=\"text-align: right;\">\n",
	+ " <th></th>\n",
	+ " <th>DF_UID</th>\n",
	+ " <th>FLAECHE</th>\n",
	+ " <th>panel_tilt</th>\n",
	+ " <th>NEIGUNG</th>\n",
	+ " <th>count_vert</th>\n",
	+ " <th>count_horiz</th>\n",
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	+ " <tr>\n",
	+ " <th>best_align</th>\n",
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	+ " <tbody>\n",
	+ " <tr>\n",
	+ " <th>equal</th>\n",
	+ " <td>63838</td>\n",
	+ " <td>63838</td>\n",
	+ " <td>63838</td>\n",
	+ " <td>63838</td>\n",
	+ " <td>63838</td>\n",
	+ " <td>63838</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>horizontal</th>\n",
	+ " <td>72486</td>\n",
	+ " <td>72486</td>\n",
	+ " <td>72486</td>\n",
	+ " <td>72486</td>\n",
	+ " <td>72486</td>\n",
	+ " <td>72486</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>vertical</th>\n",
	+ " <td>52955</td>\n",
	+ " <td>52955</td>\n",
	+ " <td>52955</td>\n",
	+ " <td>52955</td>\n",
	+ " <td>52955</td>\n",
	+ " <td>52955</td>\n",
	+ " </tr>\n",
	+ " </tbody>\n",
	+ "</table>\n",
	+ "</div>"
	+ ],
	+ "text/plain": [
	+ " DF_UID FLAECHE panel_tilt NEIGUNG count_vert count_horiz\n",
	+ "best_align \n",
	+ "equal 63838 63838 63838 63838 63838 63838\n",
	+ "horizontal 72486 72486 72486 72486 72486 72486\n",
	+ "vertical 52955 52955 52955 52955 52955 52955"
	+ ]
	+ },
	+ "execution_count": 11,
	+ "metadata": {},
	+ "output_type": "execute_result"
	+ }
	+ ],
	"source": [
	- "# Spielwiese"
	+ "stats_both.groupby('best_align').count()"
	]
	},
	{
	"cell_type": "code",
	- "execution_count": 3,
	+ "execution_count": 12,
	"metadata": {},
	- "outputs": [],
	+ "outputs": [
	+ {
	+ "name": "stdout",
	+ "output_type": "stream",
	+ "text": [
	+ "Percentage of equal alignment: 0.337269\n",
	+ "Percentage of horizontal alignment: 0.382958\n",
	+ "Percentage of vertical alignment: 0.279772\n"
	+ ]
	+ }
	+ ],
	"source": [
	- "best_panels = pd.read_csv(best_fp)"
	+ "print('Percentage of equal alignment: %f' %(63838 / len(stats_both)))\n",
	+ "print('Percentage of horizontal alignment: %f' %(72486 / len(stats_both)))\n",
	+ "print('Percentage of vertical alignment: %f' %(52955 / len(stats_both)))"
	]
	},
	{
	"cell_type": "code",
	- "execution_count": 5,
	+ "execution_count": 13,
	"metadata": {},
	"outputs": [],
	"source": [
	- "best_fp_GVA = '/Users/alinawalch/Documents/EPFL/data/rooftops/panel_stats_final/panelled_area_stats_GVA_best.csv'\n",
	- "best_panels_GVA = pd.read_csv(best_fp_GVA)"
	+ "stats_both['count_diff'] = stats_vertical.panel_count - stats_horizontal.panel_count\n",
	+ "stats_both['area_diff' ] = stats_vertical.panelled_area - stats_horizontal.panelled_area\n",
	+ "stats_both['ratio_diff'] = stats_vertical.panelled_area_ratio - stats_horizontal.panelled_area_ratio"
	]
	},
	{
	"cell_type": "code",
	- "execution_count": 7,
	- "metadata": {
	- "scrolled": true
	- },
	+ "execution_count": 14,
	+ "metadata": {},
	"outputs": [
	{
	"data": {
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	- " <th>panel_count</th>\n",
	- " <th>panelled_area</th>\n",
	- " <th>panelled_area_ratio</th>\n",
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	- " <td>6</td>\n",
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	- " <td>0.260446</td>\n",
	+ " <th>horizontal</th>\n",
	+ " <td>5.007568e+06</td>\n",
	+ " <td>107.828364</td>\n",
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	- " <th>2</th>\n",
	- " <td>4817426</td>\n",
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	- " <td>horizontal</td>\n",
	- " <td>6</td>\n",
	- " <td>9.6</td>\n",
	- " <td>0.187011</td>\n",
	+ " <th>vertical</th>\n",
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	+ " <td>2.843395</td>\n",
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	+ " <td>0.075623</td>\n",
	" </tr>\n",
	- " <tr>\n",
	- " <th>3</th>\n",
	+ " </tbody>\n",
	+ "</table>\n",
	+ "</div>"
	+ ],
	+ "text/plain": [
	+ " DF_UID FLAECHE panel_tilt NEIGUNG count_vert \\\n",
	+ "best_align \n",
	+ "equal 5.011568e+06 32.323524 27.773881 23.034541 7.119443 \n",
	+ "horizontal 5.007568e+06 107.828364 25.951880 22.697183 34.974809 \n",
	+ "vertical 5.009533e+06 123.631131 26.714493 21.375621 39.523463 \n",
	+ "\n",
	+ " count_horiz count_diff area_diff ratio_diff \n",
	+ "best_align \n",
	+ "equal 7.119443 0.000000 0.000000 0.000000 \n",
	+ "horizontal 39.432415 -4.457606 -7.076017 -0.100268 \n",
	+ "vertical 36.680068 2.843395 4.429852 0.075623 "
	+ ]
	+ },
	+ "execution_count": 14,
	+ "metadata": {},
	+ "output_type": "execute_result"
	+ }
	+ ],
	+ "source": [
	+ "stats_both.groupby('best_align').mean()"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 15,
	+ "metadata": {
	+ "scrolled": true
	+ },
	+ "outputs": [
	+ {
	+ "data": {
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	+ " <th>FLAECHE</th>\n",
	+ " <th>panel_tilt</th>\n",
	+ " <th>NEIGUNG</th>\n",
	+ " <th>count_vert</th>\n",
	+ " <th>count_horiz</th>\n",
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	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>4</th>\n",
	+ " <td>4817428</td>\n",
	+ " <td>81.256555</td>\n",
	+ " <td>28</td>\n",
	+ " <td>28</td>\n",
	+ " <td>36.0</td>\n",
	+ " <td>31.0</td>\n",
	" <td>vertical</td>\n",
	- " <td>6</td>\n",
	- " <td>9.6</td>\n",
	- " <td>0.260435</td>\n",
	+ " <td>5.0</td>\n",
	+ " <td>8.0</td>\n",
	+ " <td>0.098454</td>\n",
	+ " </tr>\n",
	+ " </tbody>\n",
	+ "</table>\n",
	+ "</div>"
	+ ],
	+ "text/plain": [
	+ " DF_UID FLAECHE panel_tilt NEIGUNG count_vert count_horiz \\\n",
	+ "0 4817410 71.487047 10 10 36.0 30.0 \n",
	+ "1 4817425 36.859836 37 37 4.0 4.0 \n",
	+ "2 4817426 51.333864 31 31 3.0 5.0 \n",
	+ "3 4817427 36.861447 37 37 4.0 5.0 \n",
	+ "4 4817428 81.256555 28 28 36.0 31.0 \n",
	+ "\n",
	+ " best_align count_diff area_diff ratio_diff \n",
	+ "0 vertical 6.0 9.6 0.134290 \n",
	+ "1 equal 0.0 0.0 0.000000 \n",
	+ "2 horizontal -2.0 -3.2 -0.062337 \n",
	+ "3 horizontal -1.0 -1.6 -0.043406 \n",
	+ "4 vertical 5.0 8.0 0.098454 "
	+ ]
	+ },
	+ "execution_count": 15,
	+ "metadata": {},
	+ "output_type": "execute_result"
	+ }
	+ ],
	+ "source": [
	+ "stats_both.head()"
	+ ]
	+ },
	+ {
	+ "cell_type": "markdown",
	+ "metadata": {},
	+ "source": [
	+ "## Create a dataframe with optimal alignment"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 16,
	+ "metadata": {},
	+ "outputs": [],
	+ "source": [
	+ "stats_best = stats_both.loc[:, ['DF_UID', 'panel_tilt', 'best_align']]"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 17,
	+ "metadata": {},
	+ "outputs": [],
	+ "source": [
	+ "stats_best['panel_count'] = stats_horizontal.panel_count\n",
	+ "stats_best['panelled_area'] = stats_horizontal.panelled_area\n",
	+ "stats_best['panelled_area_ratio'] = stats_horizontal.panelled_area_ratio"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 18,
	+ "metadata": {},
	+ "outputs": [],
	+ "source": [
	+ "idx_vertical_align = stats_both.best_align == 'vertical'"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 19,
	+ "metadata": {},
	+ "outputs": [],
	+ "source": [
	+ "stats_best.loc[idx_vertical_align, 'panel_count'] = stats_vertical.loc[idx_vertical_align, 'panel_count'].values\n",
	+ "stats_best.loc[idx_vertical_align, 'panelled_area'] = stats_vertical.loc[idx_vertical_align, 'panelled_area'].values\n",
	+ "stats_best.loc[idx_vertical_align, 'panelled_area_ratio'] = stats_vertical.loc[idx_vertical_align, 'panelled_area_ratio'].values"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 20,
	+ "metadata": {
	+ "scrolled": true
	+ },
	+ "outputs": [
	+ {
	+ "data": {
	+ "text/html": [
	+ "<div>\n",
	+ "<style scoped>\n",
	+ " .dataframe tbody tr th:only-of-type {\n",
	+ " vertical-align: middle;\n",
	+ " }\n",
	+ "\n",
	+ " .dataframe tbody tr th {\n",
	+ " vertical-align: top;\n",
	+ " }\n",
	+ "\n",
	+ " .dataframe thead th {\n",
	+ " text-align: right;\n",
	+ " }\n",
	+ "</style>\n",
	+ "<table border=\"1\" class=\"dataframe\">\n",
	+ " <thead>\n",
	+ " <tr style=\"text-align: right;\">\n",
	+ " <th></th>\n",
	+ " <th>DF_UID</th>\n",
	+ " <th>panel_tilt</th>\n",
	+ " <th>best_align</th>\n",
	+ " <th>panel_count</th>\n",
	+ " <th>panelled_area</th>\n",
	+ " <th>panelled_area_ratio</th>\n",
	+ " </tr>\n",
	+ " </thead>\n",
	+ " <tbody>\n",
	+ " <tr>\n",
	+ " <th>0</th>\n",
	+ " <td>4817410</td>\n",
	+ " <td>10</td>\n",
	+ " <td>vertical</td>\n",
	+ " <td>36.0</td>\n",
	+ " <td>57.600000</td>\n",
	+ " <td>0.805740</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>1</th>\n",
	+ " <td>4817425</td>\n",
	+ " <td>37</td>\n",
	+ " <td>equal</td>\n",
	+ " <td>4.0</td>\n",
	+ " <td>6.400000</td>\n",
	+ " <td>0.173631</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>2</th>\n",
	+ " <td>4817426</td>\n",
	+ " <td>31</td>\n",
	+ " <td>horizontal</td>\n",
	+ " <td>5.0</td>\n",
	+ " <td>8.000000</td>\n",
	+ " <td>0.155843</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>3</th>\n",
	+ " <td>4817427</td>\n",
	+ " <td>37</td>\n",
	+ " <td>horizontal</td>\n",
	+ " <td>5.0</td>\n",
	+ " <td>8.000000</td>\n",
	+ " <td>0.217029</td>\n",
	" </tr>\n",
	" <tr>\n",
	" <th>4</th>\n",
	" <td>4817428</td>\n",
	" <td>28</td>\n",
	" <td>vertical</td>\n",
	- " <td>36</td>\n",
	- " <td>57.6</td>\n",
	+ " <td>36.0</td>\n",
	+ " <td>57.600000</td>\n",
	" <td>0.708866</td>\n",
	" </tr>\n",
	" <tr>\n",
	" <th>5</th>\n",
	" <td>4817429</td>\n",
	" <td>27</td>\n",
	" <td>equal</td>\n",
	- " <td>1</td>\n",
	- " <td>1.6</td>\n",
	+ " <td>1.0</td>\n",
	+ " <td>1.600000</td>\n",
	" <td>0.140385</td>\n",
	" </tr>\n",
	" <tr>\n",
	" <th>6</th>\n",
	" <td>4817430</td>\n",
	" <td>27</td>\n",
	" <td>equal</td>\n",
	- " <td>0</td>\n",
	" <td>0.0</td>\n",
	" <td>0.000000</td>\n",
	+ " <td>0.000000</td>\n",
	" </tr>\n",
	" <tr>\n",
	" <th>7</th>\n",
	" <td>4817431</td>\n",
	" <td>31</td>\n",
	" <td>vertical</td>\n",
	- " <td>88</td>\n",
	- " <td>140.8</td>\n",
	+ " <td>88.0</td>\n",
	+ " <td>140.800000</td>\n",
	" <td>0.806868</td>\n",
	" </tr>\n",
	" <tr>\n",
	" <th>8</th>\n",
	" <td>4817432</td>\n",
	" <td>31</td>\n",
	" <td>vertical</td>\n",
	- " <td>88</td>\n",
	- " <td>140.8</td>\n",
	+ " <td>88.0</td>\n",
	+ " <td>140.800000</td>\n",
	" <td>0.808692</td>\n",
	" </tr>\n",
	" <tr>\n",
	" <th>9</th>\n",
	" <td>4817433</td>\n",
	" <td>26</td>\n",
	" <td>horizontal</td>\n",
	- " <td>12</td>\n",
	- " <td>19.2</td>\n",
	+ " <td>12.0</td>\n",
	+ " <td>19.200000</td>\n",
	" <td>0.277391</td>\n",
	" </tr>\n",
	" <tr>\n",
	" <th>10</th>\n",
	" <td>4817434</td>\n",
	" <td>31</td>\n",
	" <td>horizontal</td>\n",
	- " <td>8</td>\n",
	- " <td>12.8</td>\n",
	+ " <td>8.0</td>\n",
	+ " <td>12.800000</td>\n",
	" <td>0.479105</td>\n",
	" </tr>\n",
	" <tr>\n",
	" <th>11</th>\n",
	" <td>4817435</td>\n",
	" <td>31</td>\n",
	" <td>horizontal</td>\n",
	- " <td>8</td>\n",
	- " <td>12.8</td>\n",
	+ " <td>8.0</td>\n",
	+ " <td>12.800000</td>\n",
	" <td>0.491953</td>\n",
	" </tr>\n",
	" <tr>\n",
	" <th>12</th>\n",
	" <td>4817436</td>\n",
	" <td>33</td>\n",
	" <td>equal</td>\n",
	- " <td>2</td>\n",
	- " <td>3.2</td>\n",
	+ " <td>2.0</td>\n",
	+ " <td>3.200000</td>\n",
	" <td>0.240439</td>\n",
	" </tr>\n",
	" <tr>\n",
	" <th>13</th>\n",
	" <td>4817437</td>\n",
	" <td>32</td>\n",
	" <td>vertical</td>\n",
	- " <td>2</td>\n",
	- " <td>3.2</td>\n",
	+ " <td>2.0</td>\n",
	+ " <td>3.200000</td>\n",
	" <td>0.236983</td>\n",
	" </tr>\n",
	" <tr>\n",
	" <th>14</th>\n",
	" <td>4817438</td>\n",
	" <td>26</td>\n",
	" <td>vertical</td>\n",
	- " <td>54</td>\n",
	- " <td>86.4</td>\n",
	+ " <td>54.0</td>\n",
	+ " <td>86.400000</td>\n",
	" <td>0.664420</td>\n",
	" </tr>\n",
	" <tr>\n",
	" <th>15</th>\n",
	" <td>4817439</td>\n",
	" <td>26</td>\n",
	" <td>vertical</td>\n",
	- " <td>54</td>\n",
	- " <td>86.4</td>\n",
	+ " <td>54.0</td>\n",
	+ " <td>86.400000</td>\n",
	" <td>0.683138</td>\n",
	" </tr>\n",
	" <tr>\n",
	" <th>16</th>\n",
	" <td>4817440</td>\n",
	" <td>37</td>\n",
	" <td>horizontal</td>\n",
	- " <td>20</td>\n",
	- " <td>32.0</td>\n",
	+ " <td>20.0</td>\n",
	+ " <td>32.000000</td>\n",
	" <td>0.673116</td>\n",
	" </tr>\n",
	" <tr>\n",
	" <th>17</th>\n",
	" <td>4817441</td>\n",
	" <td>32</td>\n",
	" <td>horizontal</td>\n",
	- " <td>10</td>\n",
	- " <td>16.0</td>\n",
	+ " <td>10.0</td>\n",
	+ " <td>16.000000</td>\n",
	" <td>0.450739</td>\n",
	" </tr>\n",
	" <tr>\n",
	" <th>18</th>\n",
	" <td>4817442</td>\n",
	" <td>38</td>\n",
	" <td>vertical</td>\n",
	- " <td>20</td>\n",
	- " <td>32.0</td>\n",
	+ " <td>20.0</td>\n",
	+ " <td>32.000000</td>\n",
	" <td>0.641952</td>\n",
	" </tr>\n",
	" <tr>\n",
	" <th>19</th>\n",
	" <td>4817443</td>\n",
	" <td>40</td>\n",
	" <td>equal</td>\n",
	- " <td>30</td>\n",
	- " <td>48.0</td>\n",
	+ " <td>30.0</td>\n",
	+ " <td>48.000000</td>\n",
	" <td>0.643365</td>\n",
	" </tr>\n",
	" <tr>\n",
	" <th>20</th>\n",
	" <td>4817444</td>\n",
	" <td>30</td>\n",
	" <td>equal</td>\n",
	- " <td>0</td>\n",
	" <td>0.0</td>\n",
	" <td>0.000000</td>\n",
	+ " <td>0.000000</td>\n",
	" </tr>\n",
	" <tr>\n",
	" <th>21</th>\n",
	" <td>4817446</td>\n",
	" <td>29</td>\n",
	" <td>horizontal</td>\n",
	- " <td>10</td>\n",
	- " <td>16.0</td>\n",
	+ " <td>10.0</td>\n",
	+ " <td>16.000000</td>\n",
	" <td>0.461540</td>\n",
	" </tr>\n",
	" <tr>\n",
	" <th>22</th>\n",
	" <td>4817447</td>\n",
	" <td>29</td>\n",
	" <td>horizontal</td>\n",
	- " <td>1</td>\n",
	- " <td>1.6</td>\n",
	+ " <td>1.0</td>\n",
	+ " <td>1.600000</td>\n",
	" <td>0.160465</td>\n",
	" </tr>\n",
	" <tr>\n",
	" <th>23</th>\n",
	" <td>4817448</td>\n",
	" <td>28</td>\n",
	" <td>horizontal</td>\n",
	- " <td>10</td>\n",
	- " <td>16.0</td>\n",
	+ " <td>10.0</td>\n",
	+ " <td>16.000000</td>\n",
	" <td>0.457623</td>\n",
	" </tr>\n",
	" <tr>\n",
	" <th>24</th>\n",
	" <td>4817449</td>\n",
	" <td>7</td>\n",
	" <td>vertical</td>\n",
	- " <td>8</td>\n",
	- " <td>12.8</td>\n",
	+ " <td>8.0</td>\n",
	+ " <td>12.800000</td>\n",
	" <td>0.640659</td>\n",
	" </tr>\n",
	" <tr>\n",
	" <th>25</th>\n",
	" <td>4817450</td>\n",
	" <td>18</td>\n",
	" <td>horizontal</td>\n",
	- " <td>6</td>\n",
	- " <td>9.6</td>\n",
	+ " <td>6.0</td>\n",
	+ " <td>9.600000</td>\n",
	" <td>0.454549</td>\n",
	" </tr>\n",
	" <tr>\n",
	" <th>26</th>\n",
	" <td>4817451</td>\n",
	" <td>19</td>\n",
	" <td>horizontal</td>\n",
	- " <td>6</td>\n",
	- " <td>9.6</td>\n",
	+ " <td>6.0</td>\n",
	+ " <td>9.600000</td>\n",
	" <td>0.449135</td>\n",
	" </tr>\n",
	" <tr>\n",
	" <th>27</th>\n",
	" <td>4817452</td>\n",
	" <td>35</td>\n",
	" <td>horizontal</td>\n",
	- " <td>30</td>\n",
	- " <td>48.0</td>\n",
	+ " <td>30.0</td>\n",
	+ " <td>48.000000</td>\n",
	" <td>0.697125</td>\n",
	" </tr>\n",
	" <tr>\n",
	" <th>28</th>\n",
	" <td>4817453</td>\n",
	" <td>34</td>\n",
	" <td>horizontal</td>\n",
	- " <td>24</td>\n",
	- " <td>38.4</td>\n",
	- " <td>0.734273</td>\n",
	+ " <td>22.0</td>\n",
	+ " <td>35.200000</td>\n",
	+ " <td>0.673084</td>\n",
	" </tr>\n",
	" <tr>\n",
	" <th>29</th>\n",
	" <td>4817458</td>\n",
	" <td>34</td>\n",
	" <td>vertical</td>\n",
	- " <td>135</td>\n",
	- " <td>216.0</td>\n",
	+ " <td>135.0</td>\n",
	+ " <td>216.000000</td>\n",
	" <td>0.834434</td>\n",
	" </tr>\n",
	" <tr>\n",
	" <th>...</th>\n",
	" <td>...</td>\n",
	" <td>...</td>\n",
	" <td>...</td>\n",
	" <td>...</td>\n",
	" <td>...</td>\n",
	" <td>...</td>\n",
	" </tr>\n",
	" <tr>\n",
	- " <th>175081</th>\n",
	- " <td>5124496</td>\n",
	- " <td>11</td>\n",
	- " <td>horizontal</td>\n",
	- " <td>12</td>\n",
	- " <td>19.2</td>\n",
	- " <td>0.569172</td>\n",
	- " </tr>\n",
	- " <tr>\n",
	- " <th>175082</th>\n",
	+ " <th>189249</th>\n",
	" <td>5124497</td>\n",
	" <td>30</td>\n",
	" <td>horizontal</td>\n",
	- " <td>59</td>\n",
	- " <td>94.4</td>\n",
	+ " <td>59.0</td>\n",
	+ " <td>94.400000</td>\n",
	" <td>0.677122</td>\n",
	" </tr>\n",
	" <tr>\n",
	- " <th>175083</th>\n",
	+ " <th>189250</th>\n",
	" <td>5124498</td>\n",
	" <td>30</td>\n",
	" <td>horizontal</td>\n",
	- " <td>55</td>\n",
	- " <td>88.0</td>\n",
	+ " <td>55.0</td>\n",
	+ " <td>88.000000</td>\n",
	" <td>0.639859</td>\n",
	" </tr>\n",
	" <tr>\n",
	- " <th>175084</th>\n",
	+ " <th>189251</th>\n",
	" <td>5124499</td>\n",
	" <td>7</td>\n",
	" <td>equal</td>\n",
	- " <td>38</td>\n",
	- " <td>60.8</td>\n",
	+ " <td>38.0</td>\n",
	+ " <td>60.800000</td>\n",
	" <td>0.656369</td>\n",
	" </tr>\n",
	" <tr>\n",
	- " <th>175085</th>\n",
	+ " <th>189252</th>\n",
	" <td>5124500</td>\n",
	" <td>7</td>\n",
	" <td>vertical</td>\n",
	- " <td>18</td>\n",
	- " <td>28.8</td>\n",
	+ " <td>18.0</td>\n",
	+ " <td>28.800000</td>\n",
	" <td>0.653339</td>\n",
	" </tr>\n",
	" <tr>\n",
	- " <th>175086</th>\n",
	+ " <th>189253</th>\n",
	" <td>5124501</td>\n",
	" <td>30</td>\n",
	" <td>equal</td>\n",
	- " <td>0</td>\n",
	" <td>0.0</td>\n",
	" <td>0.000000</td>\n",
	+ " <td>0.000000</td>\n",
	" </tr>\n",
	" <tr>\n",
	- " <th>175087</th>\n",
	+ " <th>189254</th>\n",
	" <td>5124502</td>\n",
	" <td>11</td>\n",
	" <td>horizontal</td>\n",
	- " <td>4</td>\n",
	- " <td>6.4</td>\n",
	+ " <td>4.0</td>\n",
	+ " <td>6.400000</td>\n",
	" <td>0.453267</td>\n",
	" </tr>\n",
	" <tr>\n",
	- " <th>175088</th>\n",
	+ " <th>189255</th>\n",
	" <td>5124503</td>\n",
	" <td>21</td>\n",
	" <td>equal</td>\n",
	- " <td>12</td>\n",
	- " <td>19.2</td>\n",
	+ " <td>12.0</td>\n",
	+ " <td>19.200000</td>\n",
	" <td>0.522396</td>\n",
	" </tr>\n",
	" <tr>\n",
	- " <th>175089</th>\n",
	+ " <th>189256</th>\n",
	+ " <td>5124504</td>\n",
	+ " <td>19</td>\n",
	+ " <td>equal</td>\n",
	+ " <td>0.0</td>\n",
	+ " <td>0.000000</td>\n",
	+ " <td>0.000000</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>189257</th>\n",
	" <td>5124505</td>\n",
	" <td>19</td>\n",
	" <td>equal</td>\n",
	- " <td>12</td>\n",
	- " <td>19.2</td>\n",
	+ " <td>12.0</td>\n",
	+ " <td>19.200000</td>\n",
	" <td>0.530687</td>\n",
	" </tr>\n",
	" <tr>\n",
	- " <th>175090</th>\n",
	+ " <th>189258</th>\n",
	" <td>5124506</td>\n",
	" <td>17</td>\n",
	" <td>vertical</td>\n",
	- " <td>25</td>\n",
	- " <td>40.0</td>\n",
	+ " <td>25.0</td>\n",
	+ " <td>40.000000</td>\n",
	" <td>0.694324</td>\n",
	" </tr>\n",
	" <tr>\n",
	- " <th>175091</th>\n",
	+ " <th>189259</th>\n",
	" <td>5124507</td>\n",
	" <td>22</td>\n",
	" <td>vertical</td>\n",
	- " <td>28</td>\n",
	- " <td>44.8</td>\n",
	+ " <td>28.0</td>\n",
	+ " <td>44.800000</td>\n",
	" <td>0.773988</td>\n",
	" </tr>\n",
	" <tr>\n",
	- " <th>175092</th>\n",
	+ " <th>189260</th>\n",
	" <td>5124508</td>\n",
	" <td>22</td>\n",
	" <td>horizontal</td>\n",
	- " <td>8</td>\n",
	- " <td>12.8</td>\n",
	+ " <td>8.0</td>\n",
	+ " <td>12.800000</td>\n",
	" <td>0.356559</td>\n",
	" </tr>\n",
	" <tr>\n",
	- " <th>175093</th>\n",
	+ " <th>189261</th>\n",
	" <td>5124509</td>\n",
	" <td>20</td>\n",
	" <td>horizontal</td>\n",
	- " <td>41</td>\n",
	- " <td>65.6</td>\n",
	+ " <td>41.0</td>\n",
	+ " <td>65.600000</td>\n",
	" <td>0.744948</td>\n",
	" </tr>\n",
	" <tr>\n",
	- " <th>175094</th>\n",
	+ " <th>189262</th>\n",
	" <td>5124510</td>\n",
	" <td>15</td>\n",
	" <td>horizontal</td>\n",
	- " <td>126</td>\n",
	- " <td>201.6</td>\n",
	+ " <td>126.0</td>\n",
	+ " <td>201.600000</td>\n",
	" <td>0.861033</td>\n",
	" </tr>\n",
	" <tr>\n",
	- " <th>175095</th>\n",
	+ " <th>189263</th>\n",
	" <td>5124511</td>\n",
	" <td>16</td>\n",
	" <td>horizontal</td>\n",
	- " <td>126</td>\n",
	- " <td>201.6</td>\n",
	+ " <td>126.0</td>\n",
	+ " <td>201.600000</td>\n",
	" <td>0.867294</td>\n",
	" </tr>\n",
	" <tr>\n",
	- " <th>175096</th>\n",
	+ " <th>189264</th>\n",
	" <td>5124512</td>\n",
	" <td>29</td>\n",
	" <td>vertical</td>\n",
	- " <td>62</td>\n",
	- " <td>99.2</td>\n",
	- " <td>0.751939</td>\n",
	+ " <td>61.0</td>\n",
	+ " <td>97.600000</td>\n",
	+ " <td>0.739811</td>\n",
	" </tr>\n",
	" <tr>\n",
	- " <th>175097</th>\n",
	+ " <th>189265</th>\n",
	" <td>5124513</td>\n",
	" <td>28</td>\n",
	" <td>vertical</td>\n",
	- " <td>66</td>\n",
	- " <td>105.6</td>\n",
	+ " <td>66.0</td>\n",
	+ " <td>105.600000</td>\n",
	" <td>0.768899</td>\n",
	" </tr>\n",
	" <tr>\n",
	- " <th>175098</th>\n",
	+ " <th>189266</th>\n",
	" <td>5124514</td>\n",
	" <td>23</td>\n",
	" <td>vertical</td>\n",
	- " <td>5</td>\n",
	- " <td>8.0</td>\n",
	+ " <td>5.0</td>\n",
	+ " <td>8.000000</td>\n",
	" <td>0.380799</td>\n",
	" </tr>\n",
	" <tr>\n",
	- " <th>175099</th>\n",
	+ " <th>189267</th>\n",
	" <td>5124515</td>\n",
	" <td>19</td>\n",
	" <td>equal</td>\n",
	- " <td>6</td>\n",
	- " <td>9.6</td>\n",
	+ " <td>6.0</td>\n",
	+ " <td>9.600000</td>\n",
	" <td>0.445654</td>\n",
	" </tr>\n",
	" <tr>\n",
	- " <th>175100</th>\n",
	+ " <th>189268</th>\n",
	" <td>5124516</td>\n",
	" <td>17</td>\n",
	" <td>vertical</td>\n",
	- " <td>14</td>\n",
	- " <td>22.4</td>\n",
	+ " <td>14.0</td>\n",
	+ " <td>22.400000</td>\n",
	" <td>0.671820</td>\n",
	" </tr>\n",
	" <tr>\n",
	- " <th>175101</th>\n",
	+ " <th>189269</th>\n",
	" <td>5124517</td>\n",
	" <td>13</td>\n",
	" <td>horizontal</td>\n",
	- " <td>16</td>\n",
	- " <td>25.6</td>\n",
	+ " <td>16.0</td>\n",
	+ " <td>25.600000</td>\n",
	" <td>0.590432</td>\n",
	" </tr>\n",
	" <tr>\n",
	- " <th>175102</th>\n",
	+ " <th>189270</th>\n",
	" <td>5124518</td>\n",
	" <td>30</td>\n",
	" <td>vertical</td>\n",
	- " <td>3</td>\n",
	- " <td>4.8</td>\n",
	- " <td>0.138057</td>\n",
	+ " <td>3.0</td>\n",
	+ " <td>4.156922</td>\n",
	+ " <td>0.119561</td>\n",
	" </tr>\n",
	" <tr>\n",
	- " <th>175103</th>\n",
	+ " <th>189271</th>\n",
	" <td>5124519</td>\n",
	" <td>7</td>\n",
	" <td>vertical</td>\n",
	- " <td>12</td>\n",
	- " <td>19.2</td>\n",
	+ " <td>12.0</td>\n",
	+ " <td>19.200000</td>\n",
	" <td>0.595122</td>\n",
	" </tr>\n",
	" <tr>\n",
	- " <th>175104</th>\n",
	+ " <th>189272</th>\n",
	" <td>5124520</td>\n",
	" <td>25</td>\n",
	" <td>vertical</td>\n",
	- " <td>4</td>\n",
	- " <td>6.4</td>\n",
	+ " <td>4.0</td>\n",
	+ " <td>6.400000</td>\n",
	" <td>0.449135</td>\n",
	" </tr>\n",
	" <tr>\n",
	- " <th>175105</th>\n",
	+ " <th>189273</th>\n",
	" <td>5124523</td>\n",
	" <td>26</td>\n",
	" <td>vertical</td>\n",
	- " <td>106</td>\n",
	- " <td>169.6</td>\n",
	+ " <td>106.0</td>\n",
	+ " <td>169.600000</td>\n",
	" <td>0.836042</td>\n",
	" </tr>\n",
	" <tr>\n",
	- " <th>175106</th>\n",
	+ " <th>189274</th>\n",
	" <td>5124524</td>\n",
	" <td>25</td>\n",
	" <td>horizontal</td>\n",
	- " <td>96</td>\n",
	- " <td>153.6</td>\n",
	+ " <td>96.0</td>\n",
	+ " <td>153.600000</td>\n",
	" <td>0.692926</td>\n",
	" </tr>\n",
	" <tr>\n",
	- " <th>175107</th>\n",
	+ " <th>189275</th>\n",
	" <td>5124525</td>\n",
	" <td>22</td>\n",
	" <td>equal</td>\n",
	- " <td>60</td>\n",
	- " <td>96.0</td>\n",
	+ " <td>60.0</td>\n",
	+ " <td>96.000000</td>\n",
	" <td>0.759459</td>\n",
	" </tr>\n",
	" <tr>\n",
	- " <th>175108</th>\n",
	+ " <th>189276</th>\n",
	" <td>5124526</td>\n",
	" <td>22</td>\n",
	" <td>equal</td>\n",
	- " <td>60</td>\n",
	- " <td>96.0</td>\n",
	+ " <td>60.0</td>\n",
	+ " <td>96.000000</td>\n",
	" <td>0.759441</td>\n",
	" </tr>\n",
	" <tr>\n",
	- " <th>175109</th>\n",
	+ " <th>189277</th>\n",
	" <td>5124527</td>\n",
	" <td>32</td>\n",
	" <td>equal</td>\n",
	- " <td>4</td>\n",
	- " <td>6.4</td>\n",
	+ " <td>4.0</td>\n",
	+ " <td>6.400000</td>\n",
	" <td>0.360795</td>\n",
	" </tr>\n",
	" <tr>\n",
	- " <th>175110</th>\n",
	+ " <th>189278</th>\n",
	" <td>5124528</td>\n",
	" <td>33</td>\n",
	" <td>equal</td>\n",
	- " <td>4</td>\n",
	- " <td>6.4</td>\n",
	+ " <td>4.0</td>\n",
	+ " <td>6.400000</td>\n",
	" <td>0.362166</td>\n",
	" </tr>\n",
	" </tbody>\n",
	"</table>\n",
	- "<p>175111 rows × 6 columns</p>\n",
	+ "<p>189279 rows × 6 columns</p>\n",
	"</div>"
	],
	"text/plain": [
	" DF_UID panel_tilt best_align panel_count panelled_area \\\n",
	- "0 4817410 10 vertical 36 57.6 \n",
	- "1 4817425 37 vertical 6 9.6 \n",
	- "2 4817426 31 horizontal 6 9.6 \n",
	- "3 4817427 37 vertical 6 9.6 \n",
	- "4 4817428 28 vertical 36 57.6 \n",
	- "5 4817429 27 equal 1 1.6 \n",
	- "6 4817430 27 equal 0 0.0 \n",
	- "7 4817431 31 vertical 88 140.8 \n",
	- "8 4817432 31 vertical 88 140.8 \n",
	- "9 4817433 26 horizontal 12 19.2 \n",
	- "10 4817434 31 horizontal 8 12.8 \n",
	- "11 4817435 31 horizontal 8 12.8 \n",
	- "12 4817436 33 equal 2 3.2 \n",
	- "13 4817437 32 vertical 2 3.2 \n",
	- "14 4817438 26 vertical 54 86.4 \n",
	- "15 4817439 26 vertical 54 86.4 \n",
	- "16 4817440 37 horizontal 20 32.0 \n",
	- "17 4817441 32 horizontal 10 16.0 \n",
	- "18 4817442 38 vertical 20 32.0 \n",
	- "19 4817443 40 equal 30 48.0 \n",
	- "20 4817444 30 equal 0 0.0 \n",
	- "21 4817446 29 horizontal 10 16.0 \n",
	- "22 4817447 29 horizontal 1 1.6 \n",
	- "23 4817448 28 horizontal 10 16.0 \n",
	- "24 4817449 7 vertical 8 12.8 \n",
	- "25 4817450 18 horizontal 6 9.6 \n",
	- "26 4817451 19 horizontal 6 9.6 \n",
	- "27 4817452 35 horizontal 30 48.0 \n",
	- "28 4817453 34 horizontal 24 38.4 \n",
	- "29 4817458 34 vertical 135 216.0 \n",
	+ "0 4817410 10 vertical 36.0 57.600000 \n",
	+ "1 4817425 37 equal 4.0 6.400000 \n",
	+ "2 4817426 31 horizontal 5.0 8.000000 \n",
	+ "3 4817427 37 horizontal 5.0 8.000000 \n",
	+ "4 4817428 28 vertical 36.0 57.600000 \n",
	+ "5 4817429 27 equal 1.0 1.600000 \n",
	+ "6 4817430 27 equal 0.0 0.000000 \n",
	+ "7 4817431 31 vertical 88.0 140.800000 \n",
	+ "8 4817432 31 vertical 88.0 140.800000 \n",
	+ "9 4817433 26 horizontal 12.0 19.200000 \n",
	+ "10 4817434 31 horizontal 8.0 12.800000 \n",
	+ "11 4817435 31 horizontal 8.0 12.800000 \n",
	+ "12 4817436 33 equal 2.0 3.200000 \n",
	+ "13 4817437 32 vertical 2.0 3.200000 \n",
	+ "14 4817438 26 vertical 54.0 86.400000 \n",
	+ "15 4817439 26 vertical 54.0 86.400000 \n",
	+ "16 4817440 37 horizontal 20.0 32.000000 \n",
	+ "17 4817441 32 horizontal 10.0 16.000000 \n",
	+ "18 4817442 38 vertical 20.0 32.000000 \n",
	+ "19 4817443 40 equal 30.0 48.000000 \n",
	+ "20 4817444 30 equal 0.0 0.000000 \n",
	+ "21 4817446 29 horizontal 10.0 16.000000 \n",
	+ "22 4817447 29 horizontal 1.0 1.600000 \n",
	+ "23 4817448 28 horizontal 10.0 16.000000 \n",
	+ "24 4817449 7 vertical 8.0 12.800000 \n",
	+ "25 4817450 18 horizontal 6.0 9.600000 \n",
	+ "26 4817451 19 horizontal 6.0 9.600000 \n",
	+ "27 4817452 35 horizontal 30.0 48.000000 \n",
	+ "28 4817453 34 horizontal 22.0 35.200000 \n",
	+ "29 4817458 34 vertical 135.0 216.000000 \n",
	"... ... ... ... ... ... \n",
	- "175081 5124496 11 horizontal 12 19.2 \n",
	- "175082 5124497 30 horizontal 59 94.4 \n",
	- "175083 5124498 30 horizontal 55 88.0 \n",
	- "175084 5124499 7 equal 38 60.8 \n",
	- "175085 5124500 7 vertical 18 28.8 \n",
	- "175086 5124501 30 equal 0 0.0 \n",
	- "175087 5124502 11 horizontal 4 6.4 \n",
	- "175088 5124503 21 equal 12 19.2 \n",
	- "175089 5124505 19 equal 12 19.2 \n",
	- "175090 5124506 17 vertical 25 40.0 \n",
	- "175091 5124507 22 vertical 28 44.8 \n",
	- "175092 5124508 22 horizontal 8 12.8 \n",
	- "175093 5124509 20 horizontal 41 65.6 \n",
	- "175094 5124510 15 horizontal 126 201.6 \n",
	- "175095 5124511 16 horizontal 126 201.6 \n",
	- "175096 5124512 29 vertical 62 99.2 \n",
	- "175097 5124513 28 vertical 66 105.6 \n",
	- "175098 5124514 23 vertical 5 8.0 \n",
	- "175099 5124515 19 equal 6 9.6 \n",
	- "175100 5124516 17 vertical 14 22.4 \n",
	- "175101 5124517 13 horizontal 16 25.6 \n",
	- "175102 5124518 30 vertical 3 4.8 \n",
	- "175103 5124519 7 vertical 12 19.2 \n",
	- "175104 5124520 25 vertical 4 6.4 \n",
	- "175105 5124523 26 vertical 106 169.6 \n",
	- "175106 5124524 25 horizontal 96 153.6 \n",
	- "175107 5124525 22 equal 60 96.0 \n",
	- "175108 5124526 22 equal 60 96.0 \n",
	- "175109 5124527 32 equal 4 6.4 \n",
	- "175110 5124528 33 equal 4 6.4 \n",
	+ "189249 5124497 30 horizontal 59.0 94.400000 \n",
	+ "189250 5124498 30 horizontal 55.0 88.000000 \n",
	+ "189251 5124499 7 equal 38.0 60.800000 \n",
	+ "189252 5124500 7 vertical 18.0 28.800000 \n",
	+ "189253 5124501 30 equal 0.0 0.000000 \n",
	+ "189254 5124502 11 horizontal 4.0 6.400000 \n",
	+ "189255 5124503 21 equal 12.0 19.200000 \n",
	+ "189256 5124504 19 equal 0.0 0.000000 \n",
	+ "189257 5124505 19 equal 12.0 19.200000 \n",
	+ "189258 5124506 17 vertical 25.0 40.000000 \n",
	+ "189259 5124507 22 vertical 28.0 44.800000 \n",
	+ "189260 5124508 22 horizontal 8.0 12.800000 \n",
	+ "189261 5124509 20 horizontal 41.0 65.600000 \n",
	+ "189262 5124510 15 horizontal 126.0 201.600000 \n",
	+ "189263 5124511 16 horizontal 126.0 201.600000 \n",
	+ "189264 5124512 29 vertical 61.0 97.600000 \n",
	+ "189265 5124513 28 vertical 66.0 105.600000 \n",
	+ "189266 5124514 23 vertical 5.0 8.000000 \n",
	+ "189267 5124515 19 equal 6.0 9.600000 \n",
	+ "189268 5124516 17 vertical 14.0 22.400000 \n",
	+ "189269 5124517 13 horizontal 16.0 25.600000 \n",
	+ "189270 5124518 30 vertical 3.0 4.156922 \n",
	+ "189271 5124519 7 vertical 12.0 19.200000 \n",
	+ "189272 5124520 25 vertical 4.0 6.400000 \n",
	+ "189273 5124523 26 vertical 106.0 169.600000 \n",
	+ "189274 5124524 25 horizontal 96.0 153.600000 \n",
	+ "189275 5124525 22 equal 60.0 96.000000 \n",
	+ "189276 5124526 22 equal 60.0 96.000000 \n",
	+ "189277 5124527 32 equal 4.0 6.400000 \n",
	+ "189278 5124528 33 equal 4.0 6.400000 \n",
	"\n",
	" panelled_area_ratio \n",
	"0 0.805740 \n",
	- "1 0.260446 \n",
	- "2 0.187011 \n",
	- "3 0.260435 \n",
	+ "1 0.173631 \n",
	+ "2 0.155843 \n",
	+ "3 0.217029 \n",
	"4 0.708866 \n",
	"5 0.140385 \n",
	"6 0.000000 \n",
	"7 0.806868 \n",
	"8 0.808692 \n",
	"9 0.277391 \n",
	"10 0.479105 \n",
	"11 0.491953 \n",
	"12 0.240439 \n",
	"13 0.236983 \n",
	"14 0.664420 \n",
	"15 0.683138 \n",
	"16 0.673116 \n",
	"17 0.450739 \n",
	"18 0.641952 \n",
	"19 0.643365 \n",
	"20 0.000000 \n",
	"21 0.461540 \n",
	"22 0.160465 \n",
	"23 0.457623 \n",
	"24 0.640659 \n",
	"25 0.454549 \n",
	"26 0.449135 \n",
	"27 0.697125 \n",
	- "28 0.734273 \n",
	+ "28 0.673084 \n",
	"29 0.834434 \n",
	"... ... \n",
	- "175081 0.569172 \n",
	- "175082 0.677122 \n",
	- "175083 0.639859 \n",
	- "175084 0.656369 \n",
	- "175085 0.653339 \n",
	- "175086 0.000000 \n",
	- "175087 0.453267 \n",
	- "175088 0.522396 \n",
	- "175089 0.530687 \n",
	- "175090 0.694324 \n",
	- "175091 0.773988 \n",
	- "175092 0.356559 \n",
	- "175093 0.744948 \n",
	- "175094 0.861033 \n",
	- "175095 0.867294 \n",
	- "175096 0.751939 \n",
	- "175097 0.768899 \n",
	- "175098 0.380799 \n",
	- "175099 0.445654 \n",
	- "175100 0.671820 \n",
	- "175101 0.590432 \n",
	- "175102 0.138057 \n",
	- "175103 0.595122 \n",
	- "175104 0.449135 \n",
	- "175105 0.836042 \n",
	- "175106 0.692926 \n",
	- "175107 0.759459 \n",
	- "175108 0.759441 \n",
	- "175109 0.360795 \n",
	- "175110 0.362166 \n",
	- "\n",
	- "[175111 rows x 6 columns]"
	+ "189249 0.677122 \n",
	+ "189250 0.639859 \n",
	+ "189251 0.656369 \n",
	+ "189252 0.653339 \n",
	+ "189253 0.000000 \n",
	+ "189254 0.453267 \n",
	+ "189255 0.522396 \n",
	+ "189256 0.000000 \n",
	+ "189257 0.530687 \n",
	+ "189258 0.694324 \n",
	+ "189259 0.773988 \n",
	+ "189260 0.356559 \n",
	+ "189261 0.744948 \n",
	+ "189262 0.861033 \n",
	+ "189263 0.867294 \n",
	+ "189264 0.739811 \n",
	+ "189265 0.768899 \n",
	+ "189266 0.380799 \n",
	+ "189267 0.445654 \n",
	+ "189268 0.671820 \n",
	+ "189269 0.590432 \n",
	+ "189270 0.119561 \n",
	+ "189271 0.595122 \n",
	+ "189272 0.449135 \n",
	+ "189273 0.836042 \n",
	+ "189274 0.692926 \n",
	+ "189275 0.759459 \n",
	+ "189276 0.759441 \n",
	+ "189277 0.360795 \n",
	+ "189278 0.362166 \n",
	+ "\n",
	+ "[189279 rows x 6 columns]"
	]
	},
	- "execution_count": 7,
	+ "execution_count": 20,
	"metadata": {},
	"output_type": "execute_result"
	}
	],
	"source": [
	- "best_panels_GVA"
	+ "stats_best"
	]
	},
	{
	"cell_type": "code",
	- "execution_count": 9,
	+ "execution_count": 21,
	"metadata": {},
	"outputs": [],
	"source": [
	- "find_data = best_panels[best_panels.DF_UID.isin(best_panels_GVA.DF_UID)].reset_index()"
	- ]
	- },
	- {
	- "cell_type": "code",
	- "execution_count": 16,
	- "metadata": {},
	- "outputs": [
	- {
	- "name": "stdout",
	- "output_type": "stream",
	- "text": [
	- "Minimum index: 4646651\n",
	- "Maximum index: 4949136\n"
	- ]
	- }
	- ],
	- "source": [
	- "print('Minimum index: %d' %find_data['index'].min())\n",
	- "print('Maximum index: %d' %find_data['index'].max())"
	+ "stats_best.to_csv(best_fp, index = False)"
	]
	},
	{
	"cell_type": "code",
	- "execution_count": 17,
	+ "execution_count": null,
	"metadata": {},
	"outputs": [],
	- "source": [
	- "l = len(best_panels)"
	- ]
	- },
	- {
	- "cell_type": "markdown",
	- "metadata": {},
	- "source": [
	- "#### Find batch ID of elements in Geneva"
	- ]
	- },
	- {
	- "cell_type": "code",
	- "execution_count": 20,
	- "metadata": {},
	- "outputs": [
	- {
	- "data": {
	- "text/plain": [
	- "46.0"
	- ]
	- },
	- "execution_count": 20,
	- "metadata": {},
	- "output_type": "execute_result"
	- }
	- ],
	- "source": [
	- "np.floor(find_data['index'].min()/100000)"
	- ]
	- },
	- {
	- "cell_type": "code",
	- "execution_count": 21,
	- "metadata": {},
	- "outputs": [
	- {
	- "data": {
	- "text/plain": [
	- "49.0"
	- ]
	- },
	- "execution_count": 21,
	- "metadata": {},
	- "output_type": "execute_result"
	- }
	- ],
	- "source": [
	- "np.floor(find_data['index'].max()/100000)"
	- ]
	- },
	- {
	- "cell_type": "markdown",
	- "metadata": {},
	- "source": [
	- "--> CONCLUSION: download batches 46, 47, 48, 49"
	- ]
	+ "source": []
	},
	{
	"cell_type": "markdown",
	"metadata": {},
	"source": [
	- "### Find batch ID of demonstration building"
	+ "# Spielwiese"
	]
	},
	{
	"cell_type": "code",
	- "execution_count": 5,
	+ "execution_count": 3,
	"metadata": {},
	"outputs": [],
	"source": [
	- "DF_UID = [5067320, 5067344]"
	+ "best_panels = pd.read_csv(best_fp)"
	]
	},
	{
	"cell_type": "code",
	- "execution_count": 23,
	+ "execution_count": 4,
	"metadata": {},
	"outputs": [],
	"source": [
	- "find_data = best_panels[best_panels.DF_UID.isin(DF_UID)].reset_index()"
	+ "best_fp_GVA = '/Users/alinawalch/Documents/EPFL/data/rooftops/panel_stats_final/panelled_area_stats_GVA_best.csv'\n",
	+ "best_panels_GVA = pd.read_csv(best_fp_GVA)"
	]
	},
	{
	"cell_type": "code",
	- "execution_count": 24,
	- "metadata": {},
	+ "execution_count": 5,
	+ "metadata": {
	+ "scrolled": true
	+ },
	"outputs": [
	{
	"data": {
	"text/html": [
	"<div>\n",
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	"<table border=\"1\" class=\"dataframe\">\n",
	" <thead>\n",
	" <tr style=\"text-align: right;\">\n",
	" <th></th>\n",
	- " <th>index</th>\n",
	" <th>DF_UID</th>\n",
	" <th>panel_tilt</th>\n",
	" <th>best_align</th>\n",
	" <th>panel_count</th>\n",
	" <th>panelled_area</th>\n",
	" <th>panelled_area_ratio</th>\n",
	" </tr>\n",
	" </thead>\n",
	" <tbody>\n",
	" <tr>\n",
	" <th>0</th>\n",
	- " <td>4893072</td>\n",
	- " <td>5067320</td>\n",
	- " <td>33</td>\n",
	- " <td>horizontal</td>\n",
	- " <td>40.0</td>\n",
	- " <td>64.0</td>\n",
	- " <td>0.758388</td>\n",
	+ " <td>4817410</td>\n",
	+ " <td>10</td>\n",
	+ " <td>vertical</td>\n",
	+ " <td>36</td>\n",
	+ " <td>57.6</td>\n",
	+ " <td>0.805740</td>\n",
	" </tr>\n",
	" <tr>\n",
	" <th>1</th>\n",
	- " <td>4893095</td>\n",
	- " <td>5067344</td>\n",
	- " <td>23</td>\n",
	+ " <td>4817425</td>\n",
	+ " <td>37</td>\n",
	+ " <td>vertical</td>\n",
	+ " <td>6</td>\n",
	+ " <td>9.6</td>\n",
	+ " <td>0.260446</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>2</th>\n",
	+ " <td>4817426</td>\n",
	+ " <td>31</td>\n",
	+ " <td>horizontal</td>\n",
	+ " <td>6</td>\n",
	+ " <td>9.6</td>\n",
	+ " <td>0.187011</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>3</th>\n",
	+ " <td>4817427</td>\n",
	+ " <td>37</td>\n",
	+ " <td>vertical</td>\n",
	+ " <td>6</td>\n",
	+ " <td>9.6</td>\n",
	+ " <td>0.260435</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>4</th>\n",
	+ " <td>4817428</td>\n",
	+ " <td>28</td>\n",
	+ " <td>vertical</td>\n",
	+ " <td>36</td>\n",
	+ " <td>57.6</td>\n",
	+ " <td>0.708866</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>5</th>\n",
	+ " <td>4817429</td>\n",
	+ " <td>27</td>\n",
	" <td>equal</td>\n",
	- " <td>0.0</td>\n",
	+ " <td>1</td>\n",
	+ " <td>1.6</td>\n",
	+ " <td>0.140385</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>6</th>\n",
	+ " <td>4817430</td>\n",
	+ " <td>27</td>\n",
	+ " <td>equal</td>\n",
	+ " <td>0</td>\n",
	" <td>0.0</td>\n",
	" <td>0.000000</td>\n",
	" </tr>\n",
	- " </tbody>\n",
	- "</table>\n",
	- "</div>"
	- ],
	- "text/plain": [
	- " index DF_UID panel_tilt best_align panel_count panelled_area \\\n",
	- "0 4893072 5067320 33 horizontal 40.0 64.0 \n",
	- "1 4893095 5067344 23 equal 0.0 0.0 \n",
	- "\n",
	- " panelled_area_ratio \n",
	- "0 0.758388 \n",
	- "1 0.000000 "
	- ]
	- },
	- "execution_count": 24,
	- "metadata": {},
	- "output_type": "execute_result"
	- }
	- ],
	- "source": [
	- "find_data"
	- ]
	- },
	- {
	- "cell_type": "code",
	- "execution_count": 25,
	- "metadata": {},
	- "outputs": [
	- {
	- "data": {
	- "text/plain": [
	- "48.0"
	- ]
	- },
	- "execution_count": 25,
	- "metadata": {},
	- "output_type": "execute_result"
	- }
	- ],
	- "source": [
	- "np.floor(find_data['index'].max()/100000)"
	- ]
	- },
	- {
	- "cell_type": "markdown",
	- "metadata": {},
	- "source": [
	- "### Load GVA data and find DF_UID"
	- ]
	- },
	- {
	- "cell_type": "code",
	- "execution_count": 4,
	- "metadata": {},
	- "outputs": [],
	- "source": [
	- "GVA_shp = '/Users/alinawalch/Documents/EPFL/data/rooftops/SOLKAT_DACH_GVA/SOLKAT_DACH_GVA.shp'\n",
	- "GVA_shp = gpd.read_file(GVA_shp)"
	- ]
	- },
	- {
	- "cell_type": "code",
	- "execution_count": 6,
	- "metadata": {},
	- "outputs": [],
	- "source": [
	- "find_data = GVA_shp[GVA_shp.DF_UID.isin(DF_UID)].reset_index()"
	- ]
	- },
	- {
	- "cell_type": "code",
	- "execution_count": 8,
	- "metadata": {},
	- "outputs": [
	- {
	- "data": {
	- "text/plain": [
	- "1530.0"
	- ]
	- },
	- "execution_count": 8,
	- "metadata": {},
	- "output_type": "execute_result"
	- }
	- ],
	- "source": [
	- "np.floor(find_data['index'].max()/100)"
	- ]
	- },
	- {
	- "cell_type": "code",
	- "execution_count": 9,
	- "metadata": {},
	- "outputs": [
	- {
	- "data": {
	- "text/plain": [
	- "1530.0"
	- ]
	- },
	- "execution_count": 9,
	- "metadata": {},
	- "output_type": "execute_result"
	- }
	- ],
	- "source": [
	- "np.floor(find_data['index'].min()/100)"
	- ]
	- },
	- {
	- "cell_type": "markdown",
	- "metadata": {},
	- "source": [
	- "## CREATE GEODATAFRAME WITH BEST PANELS\n",
	- "Aim is to check that algorithm of panel fitting is working correctly (which it was not!) \n",
	- "The statistics and created panels are merged, and a geodataframe containing the best fitted panels (when horizontal and verticla are equal, vertical alignment is preferred) "
	- ]
	- },
	- {
	- "cell_type": "code",
	- "execution_count": 80,
	- "metadata": {},
	- "outputs": [],
	- "source": [
	- "fp = '/Users/alinawalch/Documents/EPFL/data/rooftops/panels_fitted/GVA_noSP_horizontal/PANELS_1530.shp'\n",
	- "testroof_horiz = gpd.read_file(fp)\n",
	- "\n",
	- "fp = '/Users/alinawalch/Documents/EPFL/data/rooftops/panels_fitted/GVA_noSP_vertical/PANELS_1530.shp'\n",
	- "testroof_vertic = gpd.read_file(fp)"
	- ]
	- },
	- {
	- "cell_type": "code",
	- "execution_count": 81,
	- "metadata": {},
	- "outputs": [],
	- "source": [
	- "DF_UIDs = range(5067320, 5067345)\n",
	- "roofs = GVA_shp[GVA_shp.DF_UID.isin(DF_UIDs)].reset_index()"
	- ]
	- },
	- {
	- "cell_type": "markdown",
	- "metadata": {},
	- "source": [
	- "### Load panel statistics"
	- ]
	- },
	- {
	- "cell_type": "code",
	- "execution_count": 87,
	- "metadata": {},
	- "outputs": [],
	- "source": [
	- "horiz_fp = '/Users/alinawalch/Documents/EPFL/data/rooftops/panels_fitted/GVA_noSP_horizontal/panelled_area_stats_1530.csv'\n",
	- "vert_fp = '/Users/alinawalch/Documents/EPFL/data/rooftops/panels_fitted/GVA_noSP_vertical/panelled_area_stats_1530.csv'\n",
	- "stats_horizontal = pd.read_csv(horiz_fp)\n",
	- "stats_vertical = pd.read_csv(vert_fp)"
	- ]
	- },
	- {
	- "cell_type": "code",
	- "execution_count": 106,
	- "metadata": {},
	- "outputs": [],
	- "source": [
	- "stats_horizontal = stats_horizontal[ stats_horizontal.DF_UID.isin(DF_UIDs) ]\n",
	- "stats_vertical = stats_vertical[ stats_vertical.DF_UID.isin(DF_UIDs) ]"
	- ]
	- },
	- {
	- "cell_type": "markdown",
	- "metadata": {},
	- "source": [
	- "## Create merged statistics"
	- ]
	- },
	- {
	- "cell_type": "code",
	- "execution_count": 113,
	- "metadata": {},
	- "outputs": [],
	- "source": [
	- "stats_both = stats_horizontal.loc[:,['DF_UID', 'FLAECHE', 'panel_tilt', 'NEIGUNG', 'n_corners']]\n",
	- "stats_both['count_vert'] = stats_vertical.panel_count\n",
	- "stats_both['count_horiz'] = stats_horizontal.panel_count"
	- ]
	- },
	- {
	- "cell_type": "code",
	- "execution_count": 114,
	- "metadata": {},
	- "outputs": [],
	- "source": [
	- "def choose_alignment(row):\n",
	- " if row.count_vert > row.count_horiz: return 'vertical'\n",
	- " elif row.count_vert < row.count_horiz: return 'horizontal'\n",
	- " else: return 'equal'"
	- ]
	- },
	- {
	- "cell_type": "code",
	- "execution_count": 115,
	- "metadata": {},
	- "outputs": [],
	- "source": [
	- "stats_both['best_align'] = stats_both.apply(lambda x: choose_alignment(x), axis = 1)"
	- ]
	- },
	- {
	- "cell_type": "code",
	- "execution_count": 116,
	- "metadata": {
	- "scrolled": true
	- },
	- "outputs": [
	- {
	- "data": {
	- "text/html": [
	- "<div>\n",
	- "<style scoped>\n",
	- " .dataframe tbody tr th:only-of-type {\n",
	- " vertical-align: middle;\n",
	- " }\n",
	- "\n",
	- " .dataframe tbody tr th {\n",
	- " vertical-align: top;\n",
	- " }\n",
	- "\n",
	- " .dataframe thead th {\n",
	- " text-align: right;\n",
	- " }\n",
	- "</style>\n",
	- "<table border=\"1\" class=\"dataframe\">\n",
	- " <thead>\n",
	- " <tr style=\"text-align: right;\">\n",
	- " <th></th>\n",
	- " <th>DF_UID</th>\n",
	- " <th>FLAECHE</th>\n",
	- " <th>panel_tilt</th>\n",
	- " <th>NEIGUNG</th>\n",
	- " <th>n_corners</th>\n",
	- " <th>count_vert</th>\n",
	- " <th>count_horiz</th>\n",
	- " <th>best_align</th>\n",
	- " </tr>\n",
	- " </thead>\n",
	- " <tbody>\n",
	" <tr>\n",
	- " <th>28</th>\n",
	- " <td>5067320</td>\n",
	- " <td>84.389572</td>\n",
	- " <td>33</td>\n",
	- " <td>33</td>\n",
	- " <td>4</td>\n",
	- " <td>31.0</td>\n",
	- " <td>38.0</td>\n",
	- " <td>horizontal</td>\n",
	+ " <th>7</th>\n",
	+ " <td>4817431</td>\n",
	+ " <td>31</td>\n",
	+ " <td>vertical</td>\n",
	+ " <td>88</td>\n",
	+ " <td>140.8</td>\n",
	+ " <td>0.806868</td>\n",
	" </tr>\n",
	" <tr>\n",
	- " <th>29</th>\n",
	- " <td>5067321</td>\n",
	- " <td>80.654403</td>\n",
	- " <td>33</td>\n",
	- " <td>33</td>\n",
	- " <td>5</td>\n",
	- " <td>29.0</td>\n",
	- " <td>29.0</td>\n",
	- " <td>equal</td>\n",
	+ " <th>8</th>\n",
	+ " <td>4817432</td>\n",
	+ " <td>31</td>\n",
	+ " <td>vertical</td>\n",
	+ " <td>88</td>\n",
	+ " <td>140.8</td>\n",
	+ " <td>0.808692</td>\n",
	" </tr>\n",
	" <tr>\n",
	- " <th>30</th>\n",
	- " <td>5067322</td>\n",
	- " <td>179.839079</td>\n",
	- " <td>30</td>\n",
	- " <td>0</td>\n",
	- " <td>9</td>\n",
	- " <td>45.0</td>\n",
	- " <td>43.0</td>\n",
	- " <td>vertical</td>\n",
	+ " <th>9</th>\n",
	+ " <td>4817433</td>\n",
	+ " <td>26</td>\n",
	+ " <td>horizontal</td>\n",
	+ " <td>12</td>\n",
	+ " <td>19.2</td>\n",
	+ " <td>0.277391</td>\n",
	" </tr>\n",
	" <tr>\n",
	- " <th>31</th>\n",
	- " <td>5067323</td>\n",
	- " <td>53.744018</td>\n",
	- " <td>68</td>\n",
	- " <td>68</td>\n",
	- " <td>4</td>\n",
	- " <td>0.0</td>\n",
	- " <td>0.0</td>\n",
	- " <td>equal</td>\n",
	+ " <th>10</th>\n",
	+ " <td>4817434</td>\n",
	+ " <td>31</td>\n",
	+ " <td>horizontal</td>\n",
	+ " <td>8</td>\n",
	+ " <td>12.8</td>\n",
	+ " <td>0.479105</td>\n",
	" </tr>\n",
	" <tr>\n",
	- " <th>32</th>\n",
	- " <td>5067325</td>\n",
	- " <td>144.281733</td>\n",
	- " <td>30</td>\n",
	- " <td>0</td>\n",
	- " <td>13</td>\n",
	- " <td>25.0</td>\n",
	- " <td>24.0</td>\n",
	- " <td>vertical</td>\n",
	+ " <th>11</th>\n",
	+ " <td>4817435</td>\n",
	+ " <td>31</td>\n",
	+ " <td>horizontal</td>\n",
	+ " <td>8</td>\n",
	+ " <td>12.8</td>\n",
	+ " <td>0.491953</td>\n",
	" </tr>\n",
	" <tr>\n",
	- " <th>33</th>\n",
	- " <td>5067326</td>\n",
	- " <td>24.897309</td>\n",
	- " <td>39</td>\n",
	- " <td>39</td>\n",
	- " <td>4</td>\n",
	- " <td>7.0</td>\n",
	- " <td>5.0</td>\n",
	- " <td>vertical</td>\n",
	+ " <th>12</th>\n",
	+ " <td>4817436</td>\n",
	+ " <td>33</td>\n",
	+ " <td>equal</td>\n",
	+ " <td>2</td>\n",
	+ " <td>3.2</td>\n",
	+ " <td>0.240439</td>\n",
	" </tr>\n",
	" <tr>\n",
	- " <th>34</th>\n",
	- " <td>5067327</td>\n",
	- " <td>69.601501</td>\n",
	- " <td>36</td>\n",
	- " <td>36</td>\n",
	- " <td>4</td>\n",
	- " <td>23.0</td>\n",
	- " <td>14.0</td>\n",
	+ " <th>13</th>\n",
	+ " <td>4817437</td>\n",
	+ " <td>32</td>\n",
	" <td>vertical</td>\n",
	+ " <td>2</td>\n",
	+ " <td>3.2</td>\n",
	+ " <td>0.236983</td>\n",
	" </tr>\n",
	" <tr>\n",
	- " <th>35</th>\n",
	- " <td>5067328</td>\n",
	- " <td>32.518372</td>\n",
	- " <td>58</td>\n",
	- " <td>58</td>\n",
	- " <td>4</td>\n",
	- " <td>3.0</td>\n",
	- " <td>6.0</td>\n",
	- " <td>horizontal</td>\n",
	+ " <th>14</th>\n",
	+ " <td>4817438</td>\n",
	+ " <td>26</td>\n",
	+ " <td>vertical</td>\n",
	+ " <td>54</td>\n",
	+ " <td>86.4</td>\n",
	+ " <td>0.664420</td>\n",
	" </tr>\n",
	" <tr>\n",
	- " <th>36</th>\n",
	- " <td>5067329</td>\n",
	- " <td>79.014634</td>\n",
	- " <td>57</td>\n",
	- " <td>57</td>\n",
	- " <td>4</td>\n",
	- " <td>25.0</td>\n",
	- " <td>15.0</td>\n",
	+ " <th>15</th>\n",
	+ " <td>4817439</td>\n",
	+ " <td>26</td>\n",
	" <td>vertical</td>\n",
	+ " <td>54</td>\n",
	+ " <td>86.4</td>\n",
	+ " <td>0.683138</td>\n",
	" </tr>\n",
	" <tr>\n",
	- " <th>37</th>\n",
	- " <td>5067330</td>\n",
	- " <td>68.824947</td>\n",
	- " <td>23</td>\n",
	- " <td>23</td>\n",
	- " <td>6</td>\n",
	- " <td>22.0</td>\n",
	- " <td>26.0</td>\n",
	+ " <th>16</th>\n",
	+ " <td>4817440</td>\n",
	+ " <td>37</td>\n",
	" <td>horizontal</td>\n",
	+ " <td>20</td>\n",
	+ " <td>32.0</td>\n",
	+ " <td>0.673116</td>\n",
	" </tr>\n",
	" <tr>\n",
	- " <th>38</th>\n",
	- " <td>5067331</td>\n",
	- " <td>19.240632</td>\n",
	- " <td>25</td>\n",
	- " <td>25</td>\n",
	- " <td>8</td>\n",
	- " <td>1.0</td>\n",
	- " <td>2.0</td>\n",
	+ " <th>17</th>\n",
	+ " <td>4817441</td>\n",
	+ " <td>32</td>\n",
	" <td>horizontal</td>\n",
	+ " <td>10</td>\n",
	+ " <td>16.0</td>\n",
	+ " <td>0.450739</td>\n",
	" </tr>\n",
	" <tr>\n",
	- " <th>39</th>\n",
	- " <td>5067332</td>\n",
	- " <td>10.547885</td>\n",
	- " <td>20</td>\n",
	- " <td>20</td>\n",
	- " <td>3</td>\n",
	- " <td>1.0</td>\n",
	- " <td>0.0</td>\n",
	+ " <th>18</th>\n",
	+ " <td>4817442</td>\n",
	+ " <td>38</td>\n",
	" <td>vertical</td>\n",
	+ " <td>20</td>\n",
	+ " <td>32.0</td>\n",
	+ " <td>0.641952</td>\n",
	" </tr>\n",
	" <tr>\n",
	- " <th>40</th>\n",
	- " <td>5067333</td>\n",
	- " <td>72.197864</td>\n",
	- " <td>23</td>\n",
	- " <td>23</td>\n",
	- " <td>4</td>\n",
	- " <td>27.0</td>\n",
	- " <td>30.0</td>\n",
	- " <td>horizontal</td>\n",
	+ " <th>19</th>\n",
	+ " <td>4817443</td>\n",
	+ " <td>40</td>\n",
	+ " <td>equal</td>\n",
	+ " <td>30</td>\n",
	+ " <td>48.0</td>\n",
	+ " <td>0.643365</td>\n",
	" </tr>\n",
	" <tr>\n",
	- " <th>41</th>\n",
	- " <td>5067334</td>\n",
	- " <td>87.091633</td>\n",
	+ " <th>20</th>\n",
	+ " <td>4817444</td>\n",
	" <td>30</td>\n",
	+ " <td>equal</td>\n",
	" <td>0</td>\n",
	- " <td>6</td>\n",
	- " <td>11.0</td>\n",
	- " <td>15.0</td>\n",
	- " <td>horizontal</td>\n",
	+ " <td>0.0</td>\n",
	+ " <td>0.000000</td>\n",
	" </tr>\n",
	" <tr>\n",
	- " <th>42</th>\n",
	- " <td>5067335</td>\n",
	- " <td>14.286324</td>\n",
	- " <td>23</td>\n",
	- " <td>23</td>\n",
	- " <td>9</td>\n",
	- " <td>0.0</td>\n",
	- " <td>0.0</td>\n",
	- " <td>equal</td>\n",
	+ " <th>21</th>\n",
	+ " <td>4817446</td>\n",
	+ " <td>29</td>\n",
	+ " <td>horizontal</td>\n",
	+ " <td>10</td>\n",
	+ " <td>16.0</td>\n",
	+ " <td>0.461540</td>\n",
	" </tr>\n",
	" <tr>\n",
	- " <th>43</th>\n",
	- " <td>5067336</td>\n",
	- " <td>38.741601</td>\n",
	- " <td>27</td>\n",
	- " <td>27</td>\n",
	- " <td>8</td>\n",
	- " <td>13.0</td>\n",
	- " <td>10.0</td>\n",
	- " <td>vertical</td>\n",
	+ " <th>22</th>\n",
	+ " <td>4817447</td>\n",
	+ " <td>29</td>\n",
	+ " <td>horizontal</td>\n",
	+ " <td>1</td>\n",
	+ " <td>1.6</td>\n",
	+ " <td>0.160465</td>\n",
	" </tr>\n",
	" <tr>\n",
	- " <th>44</th>\n",
	- " <td>5067337</td>\n",
	- " <td>1.798611</td>\n",
	- " <td>38</td>\n",
	- " <td>38</td>\n",
	- " <td>3</td>\n",
	- " <td>0.0</td>\n",
	- " <td>0.0</td>\n",
	- " <td>equal</td>\n",
	+ " <th>23</th>\n",
	+ " <td>4817448</td>\n",
	+ " <td>28</td>\n",
	+ " <td>horizontal</td>\n",
	+ " <td>10</td>\n",
	+ " <td>16.0</td>\n",
	+ " <td>0.457623</td>\n",
	" </tr>\n",
	" <tr>\n",
	- " <th>45</th>\n",
	- " <td>5067338</td>\n",
	- " <td>23.066670</td>\n",
	- " <td>33</td>\n",
	- " <td>33</td>\n",
	+ " <th>24</th>\n",
	+ " <td>4817449</td>\n",
	" <td>7</td>\n",
	- " <td>6.0</td>\n",
	- " <td>3.0</td>\n",
	" <td>vertical</td>\n",
	+ " <td>8</td>\n",
	+ " <td>12.8</td>\n",
	+ " <td>0.640659</td>\n",
	" </tr>\n",
	" <tr>\n",
	- " <th>46</th>\n",
	- " <td>5067339</td>\n",
	- " <td>5.199827</td>\n",
	- " <td>53</td>\n",
	- " <td>53</td>\n",
	- " <td>4</td>\n",
	- " <td>0.0</td>\n",
	- " <td>0.0</td>\n",
	- " <td>equal</td>\n",
	+ " <th>25</th>\n",
	+ " <td>4817450</td>\n",
	+ " <td>18</td>\n",
	+ " <td>horizontal</td>\n",
	+ " <td>6</td>\n",
	+ " <td>9.6</td>\n",
	+ " <td>0.454549</td>\n",
	" </tr>\n",
	" <tr>\n",
	- " <th>47</th>\n",
	- " <td>5067340</td>\n",
	- " <td>27.448161</td>\n",
	- " <td>54</td>\n",
	- " <td>54</td>\n",
	- " <td>4</td>\n",
	- " <td>7.0</td>\n",
	- " <td>4.0</td>\n",
	- " <td>vertical</td>\n",
	+ " <th>26</th>\n",
	+ " <td>4817451</td>\n",
	+ " <td>19</td>\n",
	+ " <td>horizontal</td>\n",
	+ " <td>6</td>\n",
	+ " <td>9.6</td>\n",
	+ " <td>0.449135</td>\n",
	" </tr>\n",
	" <tr>\n",
	- " <th>48</th>\n",
	- " <td>5067341</td>\n",
	- " <td>124.268134</td>\n",
	- " <td>30</td>\n",
	- " <td>0</td>\n",
	+ " <th>27</th>\n",
	+ " <td>4817452</td>\n",
	+ " <td>35</td>\n",
	+ " <td>horizontal</td>\n",
	+ " <td>30</td>\n",
	+ " <td>48.0</td>\n",
	+ " <td>0.697125</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>28</th>\n",
	+ " <td>4817453</td>\n",
	+ " <td>34</td>\n",
	+ " <td>horizontal</td>\n",
	+ " <td>24</td>\n",
	+ " <td>38.4</td>\n",
	+ " <td>0.734273</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>29</th>\n",
	+ " <td>4817458</td>\n",
	+ " <td>34</td>\n",
	+ " <td>vertical</td>\n",
	+ " <td>135</td>\n",
	+ " <td>216.0</td>\n",
	+ " <td>0.834434</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>...</th>\n",
	+ " <td>...</td>\n",
	+ " <td>...</td>\n",
	+ " <td>...</td>\n",
	+ " <td>...</td>\n",
	+ " <td>...</td>\n",
	+ " <td>...</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>175081</th>\n",
	+ " <td>5124496</td>\n",
	+ " <td>11</td>\n",
	+ " <td>horizontal</td>\n",
	" <td>12</td>\n",
	- " <td>22.0</td>\n",
	- " <td>22.0</td>\n",
	+ " <td>19.2</td>\n",
	+ " <td>0.569172</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>175082</th>\n",
	+ " <td>5124497</td>\n",
	+ " <td>30</td>\n",
	+ " <td>horizontal</td>\n",
	+ " <td>59</td>\n",
	+ " <td>94.4</td>\n",
	+ " <td>0.677122</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>175083</th>\n",
	+ " <td>5124498</td>\n",
	+ " <td>30</td>\n",
	+ " <td>horizontal</td>\n",
	+ " <td>55</td>\n",
	+ " <td>88.0</td>\n",
	+ " <td>0.639859</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>175084</th>\n",
	+ " <td>5124499</td>\n",
	+ " <td>7</td>\n",
	" <td>equal</td>\n",
	+ " <td>38</td>\n",
	+ " <td>60.8</td>\n",
	+ " <td>0.656369</td>\n",
	" </tr>\n",
	" <tr>\n",
	- " <th>49</th>\n",
	- " <td>5067342</td>\n",
	- " <td>96.070862</td>\n",
	+ " <th>175085</th>\n",
	+ " <td>5124500</td>\n",
	+ " <td>7</td>\n",
	+ " <td>vertical</td>\n",
	+ " <td>18</td>\n",
	+ " <td>28.8</td>\n",
	+ " <td>0.653339</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>175086</th>\n",
	+ " <td>5124501</td>\n",
	" <td>30</td>\n",
	+ " <td>equal</td>\n",
	" <td>0</td>\n",
	- " <td>9</td>\n",
	- " <td>5.0</td>\n",
	- " <td>4.0</td>\n",
	+ " <td>0.0</td>\n",
	+ " <td>0.000000</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>175087</th>\n",
	+ " <td>5124502</td>\n",
	+ " <td>11</td>\n",
	+ " <td>horizontal</td>\n",
	+ " <td>4</td>\n",
	+ " <td>6.4</td>\n",
	+ " <td>0.453267</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>175088</th>\n",
	+ " <td>5124503</td>\n",
	+ " <td>21</td>\n",
	+ " <td>equal</td>\n",
	+ " <td>12</td>\n",
	+ " <td>19.2</td>\n",
	+ " <td>0.522396</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>175089</th>\n",
	+ " <td>5124505</td>\n",
	+ " <td>19</td>\n",
	+ " <td>equal</td>\n",
	+ " <td>12</td>\n",
	+ " <td>19.2</td>\n",
	+ " <td>0.530687</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>175090</th>\n",
	+ " <td>5124506</td>\n",
	+ " <td>17</td>\n",
	" <td>vertical</td>\n",
	+ " <td>25</td>\n",
	+ " <td>40.0</td>\n",
	+ " <td>0.694324</td>\n",
	" </tr>\n",
	" <tr>\n",
	- " <th>50</th>\n",
	- " <td>5067343</td>\n",
	- " <td>0.041408</td>\n",
	- " <td>23</td>\n",
	+ " <th>175091</th>\n",
	+ " <td>5124507</td>\n",
	+ " <td>22</td>\n",
	+ " <td>vertical</td>\n",
	+ " <td>28</td>\n",
	+ " <td>44.8</td>\n",
	+ " <td>0.773988</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>175092</th>\n",
	+ " <td>5124508</td>\n",
	+ " <td>22</td>\n",
	+ " <td>horizontal</td>\n",
	+ " <td>8</td>\n",
	+ " <td>12.8</td>\n",
	+ " <td>0.356559</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>175093</th>\n",
	+ " <td>5124509</td>\n",
	+ " <td>20</td>\n",
	+ " <td>horizontal</td>\n",
	+ " <td>41</td>\n",
	+ " <td>65.6</td>\n",
	+ " <td>0.744948</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>175094</th>\n",
	+ " <td>5124510</td>\n",
	+ " <td>15</td>\n",
	+ " <td>horizontal</td>\n",
	+ " <td>126</td>\n",
	+ " <td>201.6</td>\n",
	+ " <td>0.861033</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>175095</th>\n",
	+ " <td>5124511</td>\n",
	+ " <td>16</td>\n",
	+ " <td>horizontal</td>\n",
	+ " <td>126</td>\n",
	+ " <td>201.6</td>\n",
	+ " <td>0.867294</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>175096</th>\n",
	+ " <td>5124512</td>\n",
	+ " <td>29</td>\n",
	+ " <td>vertical</td>\n",
	+ " <td>62</td>\n",
	+ " <td>99.2</td>\n",
	+ " <td>0.751939</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>175097</th>\n",
	+ " <td>5124513</td>\n",
	+ " <td>28</td>\n",
	+ " <td>vertical</td>\n",
	+ " <td>66</td>\n",
	+ " <td>105.6</td>\n",
	+ " <td>0.768899</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>175098</th>\n",
	+ " <td>5124514</td>\n",
	" <td>23</td>\n",
	- " <td>3</td>\n",
	- " <td>0.0</td>\n",
	- " <td>0.0</td>\n",
	+ " <td>vertical</td>\n",
	+ " <td>5</td>\n",
	+ " <td>8.0</td>\n",
	+ " <td>0.380799</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>175099</th>\n",
	+ " <td>5124515</td>\n",
	+ " <td>19</td>\n",
	" <td>equal</td>\n",
	+ " <td>6</td>\n",
	+ " <td>9.6</td>\n",
	+ " <td>0.445654</td>\n",
	" </tr>\n",
	" <tr>\n",
	- " <th>51</th>\n",
	- " <td>5067344</td>\n",
	- " <td>1.944723</td>\n",
	- " <td>23</td>\n",
	- " <td>23</td>\n",
	+ " <th>175100</th>\n",
	+ " <td>5124516</td>\n",
	+ " <td>17</td>\n",
	+ " <td>vertical</td>\n",
	+ " <td>14</td>\n",
	+ " <td>22.4</td>\n",
	+ " <td>0.671820</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>175101</th>\n",
	+ " <td>5124517</td>\n",
	+ " <td>13</td>\n",
	+ " <td>horizontal</td>\n",
	+ " <td>16</td>\n",
	+ " <td>25.6</td>\n",
	+ " <td>0.590432</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>175102</th>\n",
	+ " <td>5124518</td>\n",
	+ " <td>30</td>\n",
	+ " <td>vertical</td>\n",
	" <td>3</td>\n",
	- " <td>0.0</td>\n",
	- " <td>0.0</td>\n",
	- " <td>equal</td>\n",
	+ " <td>4.8</td>\n",
	+ " <td>0.138057</td>\n",
	" </tr>\n",
	- " </tbody>\n",
	- "</table>\n",
	- "</div>"
	+ " <tr>\n",
	+ " <th>175103</th>\n",
	+ " <td>5124519</td>\n",
	+ " <td>7</td>\n",
	+ " <td>vertical</td>\n",
	+ " <td>12</td>\n",
	+ " <td>19.2</td>\n",
	+ " <td>0.595122</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>175104</th>\n",
	+ " <td>5124520</td>\n",
	+ " <td>25</td>\n",
	+ " <td>vertical</td>\n",
	+ " <td>4</td>\n",
	+ " <td>6.4</td>\n",
	+ " <td>0.449135</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>175105</th>\n",
	+ " <td>5124523</td>\n",
	+ " <td>26</td>\n",
	+ " <td>vertical</td>\n",
	+ " <td>106</td>\n",
	+ " <td>169.6</td>\n",
	+ " <td>0.836042</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>175106</th>\n",
	+ " <td>5124524</td>\n",
	+ " <td>25</td>\n",
	+ " <td>horizontal</td>\n",
	+ " <td>96</td>\n",
	+ " <td>153.6</td>\n",
	+ " <td>0.692926</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>175107</th>\n",
	+ " <td>5124525</td>\n",
	+ " <td>22</td>\n",
	+ " <td>equal</td>\n",
	+ " <td>60</td>\n",
	+ " <td>96.0</td>\n",
	+ " <td>0.759459</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>175108</th>\n",
	+ " <td>5124526</td>\n",
	+ " <td>22</td>\n",
	+ " <td>equal</td>\n",
	+ " <td>60</td>\n",
	+ " <td>96.0</td>\n",
	+ " <td>0.759441</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>175109</th>\n",
	+ " <td>5124527</td>\n",
	+ " <td>32</td>\n",
	+ " <td>equal</td>\n",
	+ " <td>4</td>\n",
	+ " <td>6.4</td>\n",
	+ " <td>0.360795</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>175110</th>\n",
	+ " <td>5124528</td>\n",
	+ " <td>33</td>\n",
	+ " <td>equal</td>\n",
	+ " <td>4</td>\n",
	+ " <td>6.4</td>\n",
	+ " <td>0.362166</td>\n",
	+ " </tr>\n",
	+ " </tbody>\n",
	+ "</table>\n",
	+ "<p>175111 rows × 6 columns</p>\n",
	+ "</div>"
	+ ],
	+ "text/plain": [
	+ " DF_UID panel_tilt best_align panel_count panelled_area \\\n",
	+ "0 4817410 10 vertical 36 57.6 \n",
	+ "1 4817425 37 vertical 6 9.6 \n",
	+ "2 4817426 31 horizontal 6 9.6 \n",
	+ "3 4817427 37 vertical 6 9.6 \n",
	+ "4 4817428 28 vertical 36 57.6 \n",
	+ "5 4817429 27 equal 1 1.6 \n",
	+ "6 4817430 27 equal 0 0.0 \n",
	+ "7 4817431 31 vertical 88 140.8 \n",
	+ "8 4817432 31 vertical 88 140.8 \n",
	+ "9 4817433 26 horizontal 12 19.2 \n",
	+ "10 4817434 31 horizontal 8 12.8 \n",
	+ "11 4817435 31 horizontal 8 12.8 \n",
	+ "12 4817436 33 equal 2 3.2 \n",
	+ "13 4817437 32 vertical 2 3.2 \n",
	+ "14 4817438 26 vertical 54 86.4 \n",
	+ "15 4817439 26 vertical 54 86.4 \n",
	+ "16 4817440 37 horizontal 20 32.0 \n",
	+ "17 4817441 32 horizontal 10 16.0 \n",
	+ "18 4817442 38 vertical 20 32.0 \n",
	+ "19 4817443 40 equal 30 48.0 \n",
	+ "20 4817444 30 equal 0 0.0 \n",
	+ "21 4817446 29 horizontal 10 16.0 \n",
	+ "22 4817447 29 horizontal 1 1.6 \n",
	+ "23 4817448 28 horizontal 10 16.0 \n",
	+ "24 4817449 7 vertical 8 12.8 \n",
	+ "25 4817450 18 horizontal 6 9.6 \n",
	+ "26 4817451 19 horizontal 6 9.6 \n",
	+ "27 4817452 35 horizontal 30 48.0 \n",
	+ "28 4817453 34 horizontal 24 38.4 \n",
	+ "29 4817458 34 vertical 135 216.0 \n",
	+ "... ... ... ... ... ... \n",
	+ "175081 5124496 11 horizontal 12 19.2 \n",
	+ "175082 5124497 30 horizontal 59 94.4 \n",
	+ "175083 5124498 30 horizontal 55 88.0 \n",
	+ "175084 5124499 7 equal 38 60.8 \n",
	+ "175085 5124500 7 vertical 18 28.8 \n",
	+ "175086 5124501 30 equal 0 0.0 \n",
	+ "175087 5124502 11 horizontal 4 6.4 \n",
	+ "175088 5124503 21 equal 12 19.2 \n",
	+ "175089 5124505 19 equal 12 19.2 \n",
	+ "175090 5124506 17 vertical 25 40.0 \n",
	+ "175091 5124507 22 vertical 28 44.8 \n",
	+ "175092 5124508 22 horizontal 8 12.8 \n",
	+ "175093 5124509 20 horizontal 41 65.6 \n",
	+ "175094 5124510 15 horizontal 126 201.6 \n",
	+ "175095 5124511 16 horizontal 126 201.6 \n",
	+ "175096 5124512 29 vertical 62 99.2 \n",
	+ "175097 5124513 28 vertical 66 105.6 \n",
	+ "175098 5124514 23 vertical 5 8.0 \n",
	+ "175099 5124515 19 equal 6 9.6 \n",
	+ "175100 5124516 17 vertical 14 22.4 \n",
	+ "175101 5124517 13 horizontal 16 25.6 \n",
	+ "175102 5124518 30 vertical 3 4.8 \n",
	+ "175103 5124519 7 vertical 12 19.2 \n",
	+ "175104 5124520 25 vertical 4 6.4 \n",
	+ "175105 5124523 26 vertical 106 169.6 \n",
	+ "175106 5124524 25 horizontal 96 153.6 \n",
	+ "175107 5124525 22 equal 60 96.0 \n",
	+ "175108 5124526 22 equal 60 96.0 \n",
	+ "175109 5124527 32 equal 4 6.4 \n",
	+ "175110 5124528 33 equal 4 6.4 \n",
	+ "\n",
	+ " panelled_area_ratio \n",
	+ "0 0.805740 \n",
	+ "1 0.260446 \n",
	+ "2 0.187011 \n",
	+ "3 0.260435 \n",
	+ "4 0.708866 \n",
	+ "5 0.140385 \n",
	+ "6 0.000000 \n",
	+ "7 0.806868 \n",
	+ "8 0.808692 \n",
	+ "9 0.277391 \n",
	+ "10 0.479105 \n",
	+ "11 0.491953 \n",
	+ "12 0.240439 \n",
	+ "13 0.236983 \n",
	+ "14 0.664420 \n",
	+ "15 0.683138 \n",
	+ "16 0.673116 \n",
	+ "17 0.450739 \n",
	+ "18 0.641952 \n",
	+ "19 0.643365 \n",
	+ "20 0.000000 \n",
	+ "21 0.461540 \n",
	+ "22 0.160465 \n",
	+ "23 0.457623 \n",
	+ "24 0.640659 \n",
	+ "25 0.454549 \n",
	+ "26 0.449135 \n",
	+ "27 0.697125 \n",
	+ "28 0.734273 \n",
	+ "29 0.834434 \n",
	+ "... ... \n",
	+ "175081 0.569172 \n",
	+ "175082 0.677122 \n",
	+ "175083 0.639859 \n",
	+ "175084 0.656369 \n",
	+ "175085 0.653339 \n",
	+ "175086 0.000000 \n",
	+ "175087 0.453267 \n",
	+ "175088 0.522396 \n",
	+ "175089 0.530687 \n",
	+ "175090 0.694324 \n",
	+ "175091 0.773988 \n",
	+ "175092 0.356559 \n",
	+ "175093 0.744948 \n",
	+ "175094 0.861033 \n",
	+ "175095 0.867294 \n",
	+ "175096 0.751939 \n",
	+ "175097 0.768899 \n",
	+ "175098 0.380799 \n",
	+ "175099 0.445654 \n",
	+ "175100 0.671820 \n",
	+ "175101 0.590432 \n",
	+ "175102 0.138057 \n",
	+ "175103 0.595122 \n",
	+ "175104 0.449135 \n",
	+ "175105 0.836042 \n",
	+ "175106 0.692926 \n",
	+ "175107 0.759459 \n",
	+ "175108 0.759441 \n",
	+ "175109 0.360795 \n",
	+ "175110 0.362166 \n",
	+ "\n",
	+ "[175111 rows x 6 columns]"
	+ ]
	+ },
	+ "execution_count": 5,
	+ "metadata": {},
	+ "output_type": "execute_result"
	+ }
	+ ],
	+ "source": [
	+ "best_panels_GVA"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 6,
	+ "metadata": {},
	+ "outputs": [],
	+ "source": [
	+ "find_data = best_panels[best_panels.DF_UID.isin(best_panels_GVA.DF_UID)].reset_index()"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 7,
	+ "metadata": {},
	+ "outputs": [
	+ {
	+ "name": "stdout",
	+ "output_type": "stream",
	+ "text": [
	+ "Minimum index: 4646651\n",
	+ "Maximum index: 4949136\n"
	+ ]
	+ }
	+ ],
	+ "source": [
	+ "print('Minimum index: %d' %find_data['index'].min())\n",
	+ "print('Maximum index: %d' %find_data['index'].max())"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 8,
	+ "metadata": {},
	+ "outputs": [],
	+ "source": [
	+ "l = len(best_panels)"
	+ ]
	+ },
	+ {
	+ "cell_type": "markdown",
	+ "metadata": {},
	+ "source": [
	+ "#### Find batch ID of elements in Geneva"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 9,
	+ "metadata": {},
	+ "outputs": [
	+ {
	+ "data": {
	+ "text/plain": [
	+ "46.0"
	+ ]
	+ },
	+ "execution_count": 9,
	+ "metadata": {},
	+ "output_type": "execute_result"
	+ }
	+ ],
	+ "source": [
	+ "np.floor(find_data['index'].min()/100000)"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 10,
	+ "metadata": {},
	+ "outputs": [
	+ {
	+ "data": {
	+ "text/plain": [
	+ "49.0"
	+ ]
	+ },
	+ "execution_count": 10,
	+ "metadata": {},
	+ "output_type": "execute_result"
	+ }
	+ ],
	+ "source": [
	+ "np.floor(find_data['index'].max()/100000)"
	+ ]
	+ },
	+ {
	+ "cell_type": "markdown",
	+ "metadata": {},
	+ "source": [
	+ "--> CONCLUSION: download batches 46, 47, 48, 49"
	+ ]
	+ },
	+ {
	+ "cell_type": "markdown",
	+ "metadata": {},
	+ "source": [
	+ "### Find batch ID of demonstration building"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 11,
	+ "metadata": {},
	+ "outputs": [],
	+ "source": [
	+ "DF_UID = [5067320, 5067344]"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 12,
	+ "metadata": {},
	+ "outputs": [],
	+ "source": [
	+ "find_data = best_panels[best_panels.DF_UID.isin(DF_UID)].reset_index()"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 13,
	+ "metadata": {},
	+ "outputs": [
	+ {
	+ "data": {
	+ "text/html": [
	+ "<div>\n",
	+ "<style scoped>\n",
	+ " .dataframe tbody tr th:only-of-type {\n",
	+ " vertical-align: middle;\n",
	+ " }\n",
	+ "\n",
	+ " .dataframe tbody tr th {\n",
	+ " vertical-align: top;\n",
	+ " }\n",
	+ "\n",
	+ " .dataframe thead th {\n",
	+ " text-align: right;\n",
	+ " }\n",
	+ "</style>\n",
	+ "<table border=\"1\" class=\"dataframe\">\n",
	+ " <thead>\n",
	+ " <tr style=\"text-align: right;\">\n",
	+ " <th></th>\n",
	+ " <th>index</th>\n",
	+ " <th>DF_UID</th>\n",
	+ " <th>panel_tilt</th>\n",
	+ " <th>best_align</th>\n",
	+ " <th>panel_count</th>\n",
	+ " <th>panelled_area</th>\n",
	+ " <th>panelled_area_ratio</th>\n",
	+ " </tr>\n",
	+ " </thead>\n",
	+ " <tbody>\n",
	+ " <tr>\n",
	+ " <th>0</th>\n",
	+ " <td>4893072</td>\n",
	+ " <td>5067320</td>\n",
	+ " <td>33</td>\n",
	+ " <td>horizontal</td>\n",
	+ " <td>40.0</td>\n",
	+ " <td>64.0</td>\n",
	+ " <td>0.758388</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>1</th>\n",
	+ " <td>4893095</td>\n",
	+ " <td>5067344</td>\n",
	+ " <td>23</td>\n",
	+ " <td>equal</td>\n",
	+ " <td>0.0</td>\n",
	+ " <td>0.0</td>\n",
	+ " <td>0.000000</td>\n",
	+ " </tr>\n",
	+ " </tbody>\n",
	+ "</table>\n",
	+ "</div>"
	+ ],
	+ "text/plain": [
	+ " index DF_UID panel_tilt best_align panel_count panelled_area \\\n",
	+ "0 4893072 5067320 33 horizontal 40.0 64.0 \n",
	+ "1 4893095 5067344 23 equal 0.0 0.0 \n",
	+ "\n",
	+ " panelled_area_ratio \n",
	+ "0 0.758388 \n",
	+ "1 0.000000 "
	+ ]
	+ },
	+ "execution_count": 13,
	+ "metadata": {},
	+ "output_type": "execute_result"
	+ }
	+ ],
	+ "source": [
	+ "find_data"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 14,
	+ "metadata": {},
	+ "outputs": [
	+ {
	+ "data": {
	+ "text/plain": [
	+ "48.0"
	+ ]
	+ },
	+ "execution_count": 14,
	+ "metadata": {},
	+ "output_type": "execute_result"
	+ }
	+ ],
	+ "source": [
	+ "np.floor(find_data['index'].max()/100000)"
	+ ]
	+ },
	+ {
	+ "cell_type": "markdown",
	+ "metadata": {},
	+ "source": [
	+ "### Load GVA data and find DF_UID"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 15,
	+ "metadata": {},
	+ "outputs": [],
	+ "source": [
	+ "GVA_shp = '/Users/alinawalch/Documents/EPFL/data/rooftops/SOLKAT_DACH_GVA/SOLKAT_DACH_GVA.shp'\n",
	+ "GVA_shp = gpd.read_file(GVA_shp)"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 16,
	+ "metadata": {},
	+ "outputs": [],
	+ "source": [
	+ "find_data = GVA_shp[GVA_shp.DF_UID.isin(DF_UID)].reset_index()"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 17,
	+ "metadata": {},
	+ "outputs": [
	+ {
	+ "data": {
	+ "text/html": [
	+ "<div>\n",
	+ "<style scoped>\n",
	+ " .dataframe tbody tr th:only-of-type {\n",
	+ " vertical-align: middle;\n",
	+ " }\n",
	+ "\n",
	+ " .dataframe tbody tr th {\n",
	+ " vertical-align: top;\n",
	+ " }\n",
	+ "\n",
	+ " .dataframe thead th {\n",
	+ " text-align: right;\n",
	+ " }\n",
	+ "</style>\n",
	+ "<table border=\"1\" class=\"dataframe\">\n",
	+ " <thead>\n",
	+ " <tr style=\"text-align: right;\">\n",
	+ " <th></th>\n",
	+ " <th>index</th>\n",
	+ " <th>OBJECTID</th>\n",
	+ " <th>DF_UID</th>\n",
	+ " <th>DF_NUMMER</th>\n",
	+ " <th>DATUM_ERST</th>\n",
	+ " <th>DATUM_AEND</th>\n",
	+ " <th>SB_UUID</th>\n",
	+ " <th>SB_OBJEKTA</th>\n",
	+ " <th>SB_DATUM_E</th>\n",
	+ " <th>SB_DATUM_A</th>\n",
	+ " <th>...</th>\n",
	+ " <th>BEDARF_WAR</th>\n",
	+ " <th>BEDARF_HEI</th>\n",
	+ " <th>FLAECHE_KO</th>\n",
	+ " <th>VOLUMEN_SP</th>\n",
	+ " <th>GWR_EGID</th>\n",
	+ " <th>XCOORD</th>\n",
	+ " <th>YCOORD</th>\n",
	+ " <th>Shape_Leng</th>\n",
	+ " <th>Shape_Area</th>\n",
	+ " <th>geometry</th>\n",
	+ " </tr>\n",
	+ " </thead>\n",
	+ " <tbody>\n",
	+ " <tr>\n",
	+ " <th>0</th>\n",
	+ " <td>153028</td>\n",
	+ " <td>153029</td>\n",
	+ " <td>5067320</td>\n",
	+ " <td>1</td>\n",
	+ " <td>2016-05-08</td>\n",
	+ " <td>2016-05-08</td>\n",
	+ " <td>{8A496097-0789-40FA-ABDC-FC502522DD29}</td>\n",
	+ " <td>1</td>\n",
	+ " <td>2016-01-15</td>\n",
	+ " <td>2016-01-15</td>\n",
	+ " <td>...</td>\n",
	+ " <td>17648</td>\n",
	+ " <td>309089</td>\n",
	+ " <td>50.138920</td>\n",
	+ " <td>3600</td>\n",
	+ " <td>2038131</td>\n",
	+ " <td>499850.757112</td>\n",
	+ " <td>117603.419017</td>\n",
	+ " <td>44.559335</td>\n",
	+ " <td>70.644093</td>\n",
	+ " <td>POLYGON ((2499855.046300001 1117598.5275, 2499...</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>1</th>\n",
	+ " <td>153051</td>\n",
	+ " <td>153052</td>\n",
	+ " <td>5067344</td>\n",
	+ " <td>25</td>\n",
	+ " <td>2016-05-08</td>\n",
	+ " <td>2016-05-08</td>\n",
	+ " <td>{8A496097-0789-40FA-ABDC-FC502522DD29}</td>\n",
	+ " <td>1</td>\n",
	+ " <td>2016-01-15</td>\n",
	+ " <td>2016-01-15</td>\n",
	+ " <td>...</td>\n",
	+ " <td>17648</td>\n",
	+ " <td>309089</td>\n",
	+ " <td>1.944723</td>\n",
	+ " <td>300</td>\n",
	+ " <td>2038131</td>\n",
	+ " <td>499852.217466</td>\n",
	+ " <td>117614.592352</td>\n",
	+ " <td>6.438949</td>\n",
	+ " <td>1.787424</td>\n",
	+ " <td>POLYGON ((2499853.026299998 1117614.623599999,...</td>\n",
	+ " </tr>\n",
	+ " </tbody>\n",
	+ "</table>\n",
	+ "<p>2 rows × 31 columns</p>\n",
	+ "</div>"
	+ ],
	+ "text/plain": [
	+ " index OBJECTID DF_UID DF_NUMMER DATUM_ERST DATUM_AEND \\\n",
	+ "0 153028 153029 5067320 1 2016-05-08 2016-05-08 \n",
	+ "1 153051 153052 5067344 25 2016-05-08 2016-05-08 \n",
	+ "\n",
	+ " SB_UUID SB_OBJEKTA SB_DATUM_E SB_DATUM_A \\\n",
	+ "0 {8A496097-0789-40FA-ABDC-FC502522DD29} 1 2016-01-15 2016-01-15 \n",
	+ "1 {8A496097-0789-40FA-ABDC-FC502522DD29} 1 2016-01-15 2016-01-15 \n",
	+ "\n",
	+ " ... BEDARF_WAR BEDARF_HEI \\\n",
	+ "0 ... 17648 309089 \n",
	+ "1 ... 17648 309089 \n",
	+ "\n",
	+ " FLAECHE_KO VOLUMEN_SP GWR_EGID XCOORD YCOORD Shape_Leng \\\n",
	+ "0 50.138920 3600 2038131 499850.757112 117603.419017 44.559335 \n",
	+ "1 1.944723 300 2038131 499852.217466 117614.592352 6.438949 \n",
	+ "\n",
	+ " Shape_Area geometry \n",
	+ "0 70.644093 POLYGON ((2499855.046300001 1117598.5275, 2499... \n",
	+ "1 1.787424 POLYGON ((2499853.026299998 1117614.623599999,... \n",
	+ "\n",
	+ "[2 rows x 31 columns]"
	+ ]
	+ },
	+ "execution_count": 17,
	+ "metadata": {},
	+ "output_type": "execute_result"
	+ }
	+ ],
	+ "source": [
	+ "find_data"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 8,
	+ "metadata": {},
	+ "outputs": [
	+ {
	+ "data": {
	+ "text/plain": [
	+ "1530.0"
	+ ]
	+ },
	+ "execution_count": 8,
	+ "metadata": {},
	+ "output_type": "execute_result"
	+ }
	+ ],
	+ "source": [
	+ "np.floor(find_data['index'].max()/100)"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 9,
	+ "metadata": {},
	+ "outputs": [
	+ {
	+ "data": {
	+ "text/plain": [
	+ "1530.0"
	+ ]
	+ },
	+ "execution_count": 9,
	+ "metadata": {},
	+ "output_type": "execute_result"
	+ }
	+ ],
	+ "source": [
	+ "np.floor(find_data['index'].min()/100)"
	+ ]
	+ },
	+ {
	+ "cell_type": "markdown",
	+ "metadata": {},
	+ "source": [
	+ "## CREATE GEODATAFRAME WITH BEST PANELS\n",
	+ "Aim is to check that algorithm of panel fitting is working correctly (which it was not!) \n",
	+ "The statistics and created panels are merged, and a geodataframe containing the best fitted panels (when horizontal and verticla are equal, vertical alignment is preferred) "
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 119,
	+ "metadata": {},
	+ "outputs": [],
	+ "source": [
	+ "fp = '/Users/alinawalch/Documents/EPFL/data/rooftops/panels_fitted/GVA_noSP_horizontal/PANELS_1530.shp'\n",
	+ "testroof_horiz = gpd.read_file(fp)\n",
	+ "\n",
	+ "fp = '/Users/alinawalch/Documents/EPFL/data/rooftops/panels_fitted/GVA_noSP_vertical/PANELS_1530.shp'\n",
	+ "testroof_vert = gpd.read_file(fp)"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 120,
	+ "metadata": {},
	+ "outputs": [
	+ {
	+ "name": "stdout",
	+ "output_type": "stream",
	+ "text": [
	+ "5067231\n",
	+ "5067609\n"
	+ ]
	+ }
	+ ],
	+ "source": [
	+ "print(testroof_vert.DF_UID.min())\n",
	+ "print(testroof_vert.DF_UID.max())"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 121,
	+ "metadata": {},
	+ "outputs": [],
	+ "source": [
	+ "DF_UIDs = range(5067320, 5067345)\n",
	+ "roofs = GVA_shp[GVA_shp.DF_UID.isin(DF_UIDs)].reset_index()"
	+ ]
	+ },
	+ {
	+ "cell_type": "markdown",
	+ "metadata": {},
	+ "source": [
	+ "### Load panel statistics"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 87,
	+ "metadata": {},
	+ "outputs": [],
	+ "source": [
	+ "horiz_fp = '/Users/alinawalch/Documents/EPFL/data/rooftops/panels_fitted/GVA_noSP_horizontal/panelled_area_stats_1530.csv'\n",
	+ "vert_fp = '/Users/alinawalch/Documents/EPFL/data/rooftops/panels_fitted/GVA_noSP_vertical/panelled_area_stats_1530.csv'\n",
	+ "stats_horizontal = pd.read_csv(horiz_fp)\n",
	+ "stats_vertical = pd.read_csv(vert_fp)"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 106,
	+ "metadata": {},
	+ "outputs": [],
	+ "source": [
	+ "stats_horizontal = stats_horizontal[ stats_horizontal.DF_UID.isin(DF_UIDs) ]\n",
	+ "stats_vertical = stats_vertical[ stats_vertical.DF_UID.isin(DF_UIDs) ]"
	+ ]
	+ },
	+ {
	+ "cell_type": "markdown",
	+ "metadata": {},
	+ "source": [
	+ "## Create merged statistics"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 113,
	+ "metadata": {},
	+ "outputs": [],
	+ "source": [
	+ "stats_both = stats_horizontal.loc[:,['DF_UID', 'FLAECHE', 'panel_tilt', 'NEIGUNG', 'n_corners']]\n",
	+ "stats_both['count_vert'] = stats_vertical.panel_count\n",
	+ "stats_both['count_horiz'] = stats_horizontal.panel_count"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 114,
	+ "metadata": {},
	+ "outputs": [],
	+ "source": [
	+ "def choose_alignment(row):\n",
	+ " if row.count_vert > row.count_horiz: return 'vertical'\n",
	+ " elif row.count_vert < row.count_horiz: return 'horizontal'\n",
	+ " else: return 'equal'"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 115,
	+ "metadata": {},
	+ "outputs": [],
	+ "source": [
	+ "stats_both['best_align'] = stats_both.apply(lambda x: choose_alignment(x), axis = 1)"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 116,
	+ "metadata": {
	+ "scrolled": true
	+ },
	+ "outputs": [
	+ {
	+ "data": {
	+ "text/html": [
	+ "<div>\n",
	+ "<style scoped>\n",
	+ " .dataframe tbody tr th:only-of-type {\n",
	+ " vertical-align: middle;\n",
	+ " }\n",
	+ "\n",
	+ " .dataframe tbody tr th {\n",
	+ " vertical-align: top;\n",
	+ " }\n",
	+ "\n",
	+ " .dataframe thead th {\n",
	+ " text-align: right;\n",
	+ " }\n",
	+ "</style>\n",
	+ "<table border=\"1\" class=\"dataframe\">\n",
	+ " <thead>\n",
	+ " <tr style=\"text-align: right;\">\n",
	+ " <th></th>\n",
	+ " <th>DF_UID</th>\n",
	+ " <th>FLAECHE</th>\n",
	+ " <th>panel_tilt</th>\n",
	+ " <th>NEIGUNG</th>\n",
	+ " <th>n_corners</th>\n",
	+ " <th>count_vert</th>\n",
	+ " <th>count_horiz</th>\n",
	+ " <th>best_align</th>\n",
	+ " </tr>\n",
	+ " </thead>\n",
	+ " <tbody>\n",
	+ " <tr>\n",
	+ " <th>28</th>\n",
	+ " <td>5067320</td>\n",
	+ " <td>84.389572</td>\n",
	+ " <td>33</td>\n",
	+ " <td>33</td>\n",
	+ " <td>4</td>\n",
	+ " <td>31.0</td>\n",
	+ " <td>38.0</td>\n",
	+ " <td>horizontal</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>29</th>\n",
	+ " <td>5067321</td>\n",
	+ " <td>80.654403</td>\n",
	+ " <td>33</td>\n",
	+ " <td>33</td>\n",
	+ " <td>5</td>\n",
	+ " <td>29.0</td>\n",
	+ " <td>29.0</td>\n",
	+ " <td>equal</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>30</th>\n",
	+ " <td>5067322</td>\n",
	+ " <td>179.839079</td>\n",
	+ " <td>30</td>\n",
	+ " <td>0</td>\n",
	+ " <td>9</td>\n",
	+ " <td>45.0</td>\n",
	+ " <td>43.0</td>\n",
	+ " <td>vertical</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>31</th>\n",
	+ " <td>5067323</td>\n",
	+ " <td>53.744018</td>\n",
	+ " <td>68</td>\n",
	+ " <td>68</td>\n",
	+ " <td>4</td>\n",
	+ " <td>0.0</td>\n",
	+ " <td>0.0</td>\n",
	+ " <td>equal</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>32</th>\n",
	+ " <td>5067325</td>\n",
	+ " <td>144.281733</td>\n",
	+ " <td>30</td>\n",
	+ " <td>0</td>\n",
	+ " <td>13</td>\n",
	+ " <td>25.0</td>\n",
	+ " <td>24.0</td>\n",
	+ " <td>vertical</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>33</th>\n",
	+ " <td>5067326</td>\n",
	+ " <td>24.897309</td>\n",
	+ " <td>39</td>\n",
	+ " <td>39</td>\n",
	+ " <td>4</td>\n",
	+ " <td>7.0</td>\n",
	+ " <td>5.0</td>\n",
	+ " <td>vertical</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>34</th>\n",
	+ " <td>5067327</td>\n",
	+ " <td>69.601501</td>\n",
	+ " <td>36</td>\n",
	+ " <td>36</td>\n",
	+ " <td>4</td>\n",
	+ " <td>23.0</td>\n",
	+ " <td>14.0</td>\n",
	+ " <td>vertical</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>35</th>\n",
	+ " <td>5067328</td>\n",
	+ " <td>32.518372</td>\n",
	+ " <td>58</td>\n",
	+ " <td>58</td>\n",
	+ " <td>4</td>\n",
	+ " <td>3.0</td>\n",
	+ " <td>6.0</td>\n",
	+ " <td>horizontal</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>36</th>\n",
	+ " <td>5067329</td>\n",
	+ " <td>79.014634</td>\n",
	+ " <td>57</td>\n",
	+ " <td>57</td>\n",
	+ " <td>4</td>\n",
	+ " <td>25.0</td>\n",
	+ " <td>15.0</td>\n",
	+ " <td>vertical</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>37</th>\n",
	+ " <td>5067330</td>\n",
	+ " <td>68.824947</td>\n",
	+ " <td>23</td>\n",
	+ " <td>23</td>\n",
	+ " <td>6</td>\n",
	+ " <td>22.0</td>\n",
	+ " <td>26.0</td>\n",
	+ " <td>horizontal</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>38</th>\n",
	+ " <td>5067331</td>\n",
	+ " <td>19.240632</td>\n",
	+ " <td>25</td>\n",
	+ " <td>25</td>\n",
	+ " <td>8</td>\n",
	+ " <td>1.0</td>\n",
	+ " <td>2.0</td>\n",
	+ " <td>horizontal</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>39</th>\n",
	+ " <td>5067332</td>\n",
	+ " <td>10.547885</td>\n",
	+ " <td>20</td>\n",
	+ " <td>20</td>\n",
	+ " <td>3</td>\n",
	+ " <td>1.0</td>\n",
	+ " <td>0.0</td>\n",
	+ " <td>vertical</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>40</th>\n",
	+ " <td>5067333</td>\n",
	+ " <td>72.197864</td>\n",
	+ " <td>23</td>\n",
	+ " <td>23</td>\n",
	+ " <td>4</td>\n",
	+ " <td>27.0</td>\n",
	+ " <td>30.0</td>\n",
	+ " <td>horizontal</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>41</th>\n",
	+ " <td>5067334</td>\n",
	+ " <td>87.091633</td>\n",
	+ " <td>30</td>\n",
	+ " <td>0</td>\n",
	+ " <td>6</td>\n",
	+ " <td>11.0</td>\n",
	+ " <td>15.0</td>\n",
	+ " <td>horizontal</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>42</th>\n",
	+ " <td>5067335</td>\n",
	+ " <td>14.286324</td>\n",
	+ " <td>23</td>\n",
	+ " <td>23</td>\n",
	+ " <td>9</td>\n",
	+ " <td>0.0</td>\n",
	+ " <td>0.0</td>\n",
	+ " <td>equal</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>43</th>\n",
	+ " <td>5067336</td>\n",
	+ " <td>38.741601</td>\n",
	+ " <td>27</td>\n",
	+ " <td>27</td>\n",
	+ " <td>8</td>\n",
	+ " <td>13.0</td>\n",
	+ " <td>10.0</td>\n",
	+ " <td>vertical</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>44</th>\n",
	+ " <td>5067337</td>\n",
	+ " <td>1.798611</td>\n",
	+ " <td>38</td>\n",
	+ " <td>38</td>\n",
	+ " <td>3</td>\n",
	+ " <td>0.0</td>\n",
	+ " <td>0.0</td>\n",
	+ " <td>equal</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>45</th>\n",
	+ " <td>5067338</td>\n",
	+ " <td>23.066670</td>\n",
	+ " <td>33</td>\n",
	+ " <td>33</td>\n",
	+ " <td>7</td>\n",
	+ " <td>6.0</td>\n",
	+ " <td>3.0</td>\n",
	+ " <td>vertical</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>46</th>\n",
	+ " <td>5067339</td>\n",
	+ " <td>5.199827</td>\n",
	+ " <td>53</td>\n",
	+ " <td>53</td>\n",
	+ " <td>4</td>\n",
	+ " <td>0.0</td>\n",
	+ " <td>0.0</td>\n",
	+ " <td>equal</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>47</th>\n",
	+ " <td>5067340</td>\n",
	+ " <td>27.448161</td>\n",
	+ " <td>54</td>\n",
	+ " <td>54</td>\n",
	+ " <td>4</td>\n",
	+ " <td>7.0</td>\n",
	+ " <td>4.0</td>\n",
	+ " <td>vertical</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>48</th>\n",
	+ " <td>5067341</td>\n",
	+ " <td>124.268134</td>\n",
	+ " <td>30</td>\n",
	+ " <td>0</td>\n",
	+ " <td>12</td>\n",
	+ " <td>22.0</td>\n",
	+ " <td>22.0</td>\n",
	+ " <td>equal</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>49</th>\n",
	+ " <td>5067342</td>\n",
	+ " <td>96.070862</td>\n",
	+ " <td>30</td>\n",
	+ " <td>0</td>\n",
	+ " <td>9</td>\n",
	+ " <td>5.0</td>\n",
	+ " <td>4.0</td>\n",
	+ " <td>vertical</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>50</th>\n",
	+ " <td>5067343</td>\n",
	+ " <td>0.041408</td>\n",
	+ " <td>23</td>\n",
	+ " <td>23</td>\n",
	+ " <td>3</td>\n",
	+ " <td>0.0</td>\n",
	+ " <td>0.0</td>\n",
	+ " <td>equal</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>51</th>\n",
	+ " <td>5067344</td>\n",
	+ " <td>1.944723</td>\n",
	+ " <td>23</td>\n",
	+ " <td>23</td>\n",
	+ " <td>3</td>\n",
	+ " <td>0.0</td>\n",
	+ " <td>0.0</td>\n",
	+ " <td>equal</td>\n",
	+ " </tr>\n",
	+ " </tbody>\n",
	+ "</table>\n",
	+ "</div>"
	+ ],
	+ "text/plain": [
	+ " DF_UID FLAECHE panel_tilt NEIGUNG n_corners count_vert \\\n",
	+ "28 5067320 84.389572 33 33 4 31.0 \n",
	+ "29 5067321 80.654403 33 33 5 29.0 \n",
	+ "30 5067322 179.839079 30 0 9 45.0 \n",
	+ "31 5067323 53.744018 68 68 4 0.0 \n",
	+ "32 5067325 144.281733 30 0 13 25.0 \n",
	+ "33 5067326 24.897309 39 39 4 7.0 \n",
	+ "34 5067327 69.601501 36 36 4 23.0 \n",
	+ "35 5067328 32.518372 58 58 4 3.0 \n",
	+ "36 5067329 79.014634 57 57 4 25.0 \n",
	+ "37 5067330 68.824947 23 23 6 22.0 \n",
	+ "38 5067331 19.240632 25 25 8 1.0 \n",
	+ "39 5067332 10.547885 20 20 3 1.0 \n",
	+ "40 5067333 72.197864 23 23 4 27.0 \n",
	+ "41 5067334 87.091633 30 0 6 11.0 \n",
	+ "42 5067335 14.286324 23 23 9 0.0 \n",
	+ "43 5067336 38.741601 27 27 8 13.0 \n",
	+ "44 5067337 1.798611 38 38 3 0.0 \n",
	+ "45 5067338 23.066670 33 33 7 6.0 \n",
	+ "46 5067339 5.199827 53 53 4 0.0 \n",
	+ "47 5067340 27.448161 54 54 4 7.0 \n",
	+ "48 5067341 124.268134 30 0 12 22.0 \n",
	+ "49 5067342 96.070862 30 0 9 5.0 \n",
	+ "50 5067343 0.041408 23 23 3 0.0 \n",
	+ "51 5067344 1.944723 23 23 3 0.0 \n",
	+ "\n",
	+ " count_horiz best_align \n",
	+ "28 38.0 horizontal \n",
	+ "29 29.0 equal \n",
	+ "30 43.0 vertical \n",
	+ "31 0.0 equal \n",
	+ "32 24.0 vertical \n",
	+ "33 5.0 vertical \n",
	+ "34 14.0 vertical \n",
	+ "35 6.0 horizontal \n",
	+ "36 15.0 vertical \n",
	+ "37 26.0 horizontal \n",
	+ "38 2.0 horizontal \n",
	+ "39 0.0 vertical \n",
	+ "40 30.0 horizontal \n",
	+ "41 15.0 horizontal \n",
	+ "42 0.0 equal \n",
	+ "43 10.0 vertical \n",
	+ "44 0.0 equal \n",
	+ "45 3.0 vertical \n",
	+ "46 0.0 equal \n",
	+ "47 4.0 vertical \n",
	+ "48 22.0 equal \n",
	+ "49 4.0 vertical \n",
	+ "50 0.0 equal \n",
	+ "51 0.0 equal "
	+ ]
	+ },
	+ "execution_count": 116,
	+ "metadata": {},
	+ "output_type": "execute_result"
	+ }
	+ ],
	+ "source": [
	+ "stats_both"
	+ ]
	+ },
	+ {
	+ "cell_type": "markdown",
	+ "metadata": {},
	+ "source": [
	+ "## Create a geodataframe of best panels"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 117,
	+ "metadata": {},
	+ "outputs": [],
	+ "source": [
	+ "horizontal_DF_UIDs = stats_both.loc[stats_both.best_align == 'horizontal', 'DF_UID']\n",
	+ "equal_DF_UIDs = stats_both.loc[stats_both.best_align == 'equal', 'DF_UID']\n",
	+ "vertic_DF_UIDs = stats_both.loc[stats_both.best_align == 'vertical', 'DF_UID']"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 119,
	+ "metadata": {},
	+ "outputs": [],
	+ "source": [
	+ "best_horiz = testroof_horiz[testroof_horiz.DF_UID.isin(horizontal_DF_UIDs)]\n",
	+ "best_vertic = testroof_vertic[testroof_vertic.DF_UID.isin(vertic_DF_UIDs)]\n",
	+ "best_equal = testroof_vertic[testroof_vertic.DF_UID.isin(equal_DF_UIDs)]"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 124,
	+ "metadata": {},
	+ "outputs": [],
	+ "source": [
	+ "best_panels = pd.concat([best_horiz, best_vertic, best_equal])\n",
	+ "best_panels.crs = roofs.crs"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 121,
	+ "metadata": {},
	+ "outputs": [
	+ {
	+ "data": {
	+ "application/javascript": [
	+ "/* Put everything inside the global mpl namespace */\n",
	+ "window.mpl = {};\n",
	+ "\n",
	+ "\n",
	+ "mpl.get_websocket_type = function() {\n",
	+ " if (typeof(WebSocket) !== 'undefined') {\n",
	+ " return WebSocket;\n",
	+ " } else if (typeof(MozWebSocket) !== 'undefined') {\n",
	+ " return MozWebSocket;\n",
	+ " } else {\n",
	+ " alert('Your browser does not have WebSocket support.' +\n",
	+ " 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
	+ " 'Firefox 4 and 5 are also supported but you ' +\n",
	+ " 'have to enable WebSockets in about:config.');\n",
	+ " };\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
	+ " this.id = figure_id;\n",
	+ "\n",
	+ " this.ws = websocket;\n",
	+ "\n",
	+ " this.supports_binary = (this.ws.binaryType != undefined);\n",
	+ "\n",
	+ " if (!this.supports_binary) {\n",
	+ " var warnings = document.getElementById(\"mpl-warnings\");\n",
	+ " if (warnings) {\n",
	+ " warnings.style.display = 'block';\n",
	+ " warnings.textContent = (\n",
	+ " \"This browser does not support binary websocket messages. \" +\n",
	+ " \"Performance may be slow.\");\n",
	+ " }\n",
	+ " }\n",
	+ "\n",
	+ " this.imageObj = new Image();\n",
	+ "\n",
	+ " this.context = undefined;\n",
	+ " this.message = undefined;\n",
	+ " this.canvas = undefined;\n",
	+ " this.rubberband_canvas = undefined;\n",
	+ " this.rubberband_context = undefined;\n",
	+ " this.format_dropdown = undefined;\n",
	+ "\n",
	+ " this.image_mode = 'full';\n",
	+ "\n",
	+ " this.root = $('<div/>');\n",
	+ " this._root_extra_style(this.root)\n",
	+ " this.root.attr('style', 'display: inline-block');\n",
	+ "\n",
	+ " $(parent_element).append(this.root);\n",
	+ "\n",
	+ " this._init_header(this);\n",
	+ " this._init_canvas(this);\n",
	+ " this._init_toolbar(this);\n",
	+ "\n",
	+ " var fig = this;\n",
	+ "\n",
	+ " this.waiting = false;\n",
	+ "\n",
	+ " this.ws.onopen = function () {\n",
	+ " fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
	+ " fig.send_message(\"send_image_mode\", {});\n",
	+ " if (mpl.ratio != 1) {\n",
	+ " fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
	+ " }\n",
	+ " fig.send_message(\"refresh\", {});\n",
	+ " }\n",
	+ "\n",
	+ " this.imageObj.onload = function() {\n",
	+ " if (fig.image_mode == 'full') {\n",
	+ " // Full images could contain transparency (where diff images\n",
	+ " // almost always do), so we need to clear the canvas so that\n",
	+ " // there is no ghosting.\n",
	+ " fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
	+ " }\n",
	+ " fig.context.drawImage(fig.imageObj, 0, 0);\n",
	+ " };\n",
	+ "\n",
	+ " this.imageObj.onunload = function() {\n",
	+ " fig.ws.close();\n",
	+ " }\n",
	+ "\n",
	+ " this.ws.onmessage = this._make_on_message_function(this);\n",
	+ "\n",
	+ " this.ondownload = ondownload;\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._init_header = function() {\n",
	+ " var titlebar = $(\n",
	+ " '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
	+ " 'ui-helper-clearfix\"/>');\n",
	+ " var titletext = $(\n",
	+ " '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
	+ " 'text-align: center; padding: 3px;\"/>');\n",
	+ " titlebar.append(titletext)\n",
	+ " this.root.append(titlebar);\n",
	+ " this.header = titletext[0];\n",
	+ "}\n",
	+ "\n",
	+ "\n",
	+ "\n",
	+ "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
	+ "\n",
	+ "}\n",
	+ "\n",
	+ "\n",
	+ "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
	+ "\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._init_canvas = function() {\n",
	+ " var fig = this;\n",
	+ "\n",
	+ " var canvas_div = $('<div/>');\n",
	+ "\n",
	+ " canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
	+ "\n",
	+ " function canvas_keyboard_event(event) {\n",
	+ " return fig.key_event(event, event['data']);\n",
	+ " }\n",
	+ "\n",
	+ " canvas_div.keydown('key_press', canvas_keyboard_event);\n",
	+ " canvas_div.keyup('key_release', canvas_keyboard_event);\n",
	+ " this.canvas_div = canvas_div\n",
	+ " this._canvas_extra_style(canvas_div)\n",
	+ " this.root.append(canvas_div);\n",
	+ "\n",
	+ " var canvas = $('<canvas/>');\n",
	+ " canvas.addClass('mpl-canvas');\n",
	+ " canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
	+ "\n",
	+ " this.canvas = canvas[0];\n",
	+ " this.context = canvas[0].getContext(\"2d\");\n",
	+ "\n",
	+ " var backingStore = this.context.backingStorePixelRatio \|\|\n",
	+ "\tthis.context.webkitBackingStorePixelRatio \|\|\n",
	+ "\tthis.context.mozBackingStorePixelRatio \|\|\n",
	+ "\tthis.context.msBackingStorePixelRatio \|\|\n",
	+ "\tthis.context.oBackingStorePixelRatio \|\|\n",
	+ "\tthis.context.backingStorePixelRatio \|\| 1;\n",
	+ "\n",
	+ " mpl.ratio = (window.devicePixelRatio \|\| 1) / backingStore;\n",
	+ "\n",
	+ " var rubberband = $('<canvas/>');\n",
	+ " rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
	+ "\n",
	+ " var pass_mouse_events = true;\n",
	+ "\n",
	+ " canvas_div.resizable({\n",
	+ " start: function(event, ui) {\n",
	+ " pass_mouse_events = false;\n",
	+ " },\n",
	+ " resize: function(event, ui) {\n",
	+ " fig.request_resize(ui.size.width, ui.size.height);\n",
	+ " },\n",
	+ " stop: function(event, ui) {\n",
	+ " pass_mouse_events = true;\n",
	+ " fig.request_resize(ui.size.width, ui.size.height);\n",
	+ " },\n",
	+ " });\n",
	+ "\n",
	+ " function mouse_event_fn(event) {\n",
	+ " if (pass_mouse_events)\n",
	+ " return fig.mouse_event(event, event['data']);\n",
	+ " }\n",
	+ "\n",
	+ " rubberband.mousedown('button_press', mouse_event_fn);\n",
	+ " rubberband.mouseup('button_release', mouse_event_fn);\n",
	+ " // Throttle sequential mouse events to 1 every 20ms.\n",
	+ " rubberband.mousemove('motion_notify', mouse_event_fn);\n",
	+ "\n",
	+ " rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
	+ " rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
	+ "\n",
	+ " canvas_div.on(\"wheel\", function (event) {\n",
	+ " event = event.originalEvent;\n",
	+ " event['data'] = 'scroll'\n",
	+ " if (event.deltaY < 0) {\n",
	+ " event.step = 1;\n",
	+ " } else {\n",
	+ " event.step = -1;\n",
	+ " }\n",
	+ " mouse_event_fn(event);\n",
	+ " });\n",
	+ "\n",
	+ " canvas_div.append(canvas);\n",
	+ " canvas_div.append(rubberband);\n",
	+ "\n",
	+ " this.rubberband = rubberband;\n",
	+ " this.rubberband_canvas = rubberband[0];\n",
	+ " this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
	+ " this.rubberband_context.strokeStyle = \"#000000\";\n",
	+ "\n",
	+ " this._resize_canvas = function(width, height) {\n",
	+ " // Keep the size of the canvas, canvas container, and rubber band\n",
	+ " // canvas in synch.\n",
	+ " canvas_div.css('width', width)\n",
	+ " canvas_div.css('height', height)\n",
	+ "\n",
	+ " canvas.attr('width', width * mpl.ratio);\n",
	+ " canvas.attr('height', height * mpl.ratio);\n",
	+ " canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
	+ "\n",
	+ " rubberband.attr('width', width);\n",
	+ " rubberband.attr('height', height);\n",
	+ " }\n",
	+ "\n",
	+ " // Set the figure to an initial 600x600px, this will subsequently be updated\n",
	+ " // upon first draw.\n",
	+ " this._resize_canvas(600, 600);\n",
	+ "\n",
	+ " // Disable right mouse context menu.\n",
	+ " $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
	+ " return false;\n",
	+ " });\n",
	+ "\n",
	+ " function set_focus () {\n",
	+ " canvas.focus();\n",
	+ " canvas_div.focus();\n",
	+ " }\n",
	+ "\n",
	+ " window.setTimeout(set_focus, 100);\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._init_toolbar = function() {\n",
	+ " var fig = this;\n",
	+ "\n",
	+ " var nav_element = $('<div/>')\n",
	+ " nav_element.attr('style', 'width: 100%');\n",
	+ " this.root.append(nav_element);\n",
	+ "\n",
	+ " // Define a callback function for later on.\n",
	+ " function toolbar_event(event) {\n",
	+ " return fig.toolbar_button_onclick(event['data']);\n",
	+ " }\n",
	+ " function toolbar_mouse_event(event) {\n",
	+ " return fig.toolbar_button_onmouseover(event['data']);\n",
	+ " }\n",
	+ "\n",
	+ " for(var toolbar_ind in mpl.toolbar_items) {\n",
	+ " var name = mpl.toolbar_items[toolbar_ind][0];\n",
	+ " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
	+ " var image = mpl.toolbar_items[toolbar_ind][2];\n",
	+ " var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
	+ "\n",
	+ " if (!name) {\n",
	+ " // put a spacer in here.\n",
	+ " continue;\n",
	+ " }\n",
	+ " var button = $('<button/>');\n",
	+ " button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
	+ " 'ui-button-icon-only');\n",
	+ " button.attr('role', 'button');\n",
	+ " button.attr('aria-disabled', 'false');\n",
	+ " button.click(method_name, toolbar_event);\n",
	+ " button.mouseover(tooltip, toolbar_mouse_event);\n",
	+ "\n",
	+ " var icon_img = $('<span/>');\n",
	+ " icon_img.addClass('ui-button-icon-primary ui-icon');\n",
	+ " icon_img.addClass(image);\n",
	+ " icon_img.addClass('ui-corner-all');\n",
	+ "\n",
	+ " var tooltip_span = $('<span/>');\n",
	+ " tooltip_span.addClass('ui-button-text');\n",
	+ " tooltip_span.html(tooltip);\n",
	+ "\n",
	+ " button.append(icon_img);\n",
	+ " button.append(tooltip_span);\n",
	+ "\n",
	+ " nav_element.append(button);\n",
	+ " }\n",
	+ "\n",
	+ " var fmt_picker_span = $('<span/>');\n",
	+ "\n",
	+ " var fmt_picker = $('<select/>');\n",
	+ " fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
	+ " fmt_picker_span.append(fmt_picker);\n",
	+ " nav_element.append(fmt_picker_span);\n",
	+ " this.format_dropdown = fmt_picker[0];\n",
	+ "\n",
	+ " for (var ind in mpl.extensions) {\n",
	+ " var fmt = mpl.extensions[ind];\n",
	+ " var option = $(\n",
	+ " '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
	+ " fmt_picker.append(option)\n",
	+ " }\n",
	+ "\n",
	+ " // Add hover states to the ui-buttons\n",
	+ " $( \".ui-button\" ).hover(\n",
	+ " function() { $(this).addClass(\"ui-state-hover\");},\n",
	+ " function() { $(this).removeClass(\"ui-state-hover\");}\n",
	+ " );\n",
	+ "\n",
	+ " var status_bar = $('<span class=\"mpl-message\"/>');\n",
	+ " nav_element.append(status_bar);\n",
	+ " this.message = status_bar[0];\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
	+ " // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
	+ " // which will in turn request a refresh of the image.\n",
	+ " this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.send_message = function(type, properties) {\n",
	+ " properties['type'] = type;\n",
	+ " properties['figure_id'] = this.id;\n",
	+ " this.ws.send(JSON.stringify(properties));\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.send_draw_message = function() {\n",
	+ " if (!this.waiting) {\n",
	+ " this.waiting = true;\n",
	+ " this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
	+ " }\n",
	+ "}\n",
	+ "\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
	+ " var format_dropdown = fig.format_dropdown;\n",
	+ " var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
	+ " fig.ondownload(fig, format);\n",
	+ "}\n",
	+ "\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
	+ " var size = msg['size'];\n",
	+ " if (size[0] != fig.canvas.width \|\| size[1] != fig.canvas.height) {\n",
	+ " fig._resize_canvas(size[0], size[1]);\n",
	+ " fig.send_message(\"refresh\", {});\n",
	+ " };\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
	+ " var x0 = msg['x0'] / mpl.ratio;\n",
	+ " var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
	+ " var x1 = msg['x1'] / mpl.ratio;\n",
	+ " var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
	+ " x0 = Math.floor(x0) + 0.5;\n",
	+ " y0 = Math.floor(y0) + 0.5;\n",
	+ " x1 = Math.floor(x1) + 0.5;\n",
	+ " y1 = Math.floor(y1) + 0.5;\n",
	+ " var min_x = Math.min(x0, x1);\n",
	+ " var min_y = Math.min(y0, y1);\n",
	+ " var width = Math.abs(x1 - x0);\n",
	+ " var height = Math.abs(y1 - y0);\n",
	+ "\n",
	+ " fig.rubberband_context.clearRect(\n",
	+ " 0, 0, fig.canvas.width, fig.canvas.height);\n",
	+ "\n",
	+ " fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
	+ " // Updates the figure title.\n",
	+ " fig.header.textContent = msg['label'];\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
	+ " var cursor = msg['cursor'];\n",
	+ " switch(cursor)\n",
	+ " {\n",
	+ " case 0:\n",
	+ " cursor = 'pointer';\n",
	+ " break;\n",
	+ " case 1:\n",
	+ " cursor = 'default';\n",
	+ " break;\n",
	+ " case 2:\n",
	+ " cursor = 'crosshair';\n",
	+ " break;\n",
	+ " case 3:\n",
	+ " cursor = 'move';\n",
	+ " break;\n",
	+ " }\n",
	+ " fig.rubberband_canvas.style.cursor = cursor;\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
	+ " fig.message.textContent = msg['message'];\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
	+ " // Request the server to send over a new figure.\n",
	+ " fig.send_draw_message();\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
	+ " fig.image_mode = msg['mode'];\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.updated_canvas_event = function() {\n",
	+ " // Called whenever the canvas gets updated.\n",
	+ " this.send_message(\"ack\", {});\n",
	+ "}\n",
	+ "\n",
	+ "// A function to construct a web socket function for onmessage handling.\n",
	+ "// Called in the figure constructor.\n",
	+ "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
	+ " return function socket_on_message(evt) {\n",
	+ " if (evt.data instanceof Blob) {\n",
	+ " /* FIXME: We get \"Resource interpreted as Image but\n",
	+ " * transferred with MIME type text/plain:\" errors on\n",
	+ " * Chrome. But how to set the MIME type? It doesn't seem\n",
	+ " * to be part of the websocket stream */\n",
	+ " evt.data.type = \"image/png\";\n",
	+ "\n",
	+ " /* Free the memory for the previous frames */\n",
	+ " if (fig.imageObj.src) {\n",
	+ " (window.URL \|\| window.webkitURL).revokeObjectURL(\n",
	+ " fig.imageObj.src);\n",
	+ " }\n",
	+ "\n",
	+ " fig.imageObj.src = (window.URL \|\| window.webkitURL).createObjectURL(\n",
	+ " evt.data);\n",
	+ " fig.updated_canvas_event();\n",
	+ " fig.waiting = false;\n",
	+ " return;\n",
	+ " }\n",
	+ " else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
	+ " fig.imageObj.src = evt.data;\n",
	+ " fig.updated_canvas_event();\n",
	+ " fig.waiting = false;\n",
	+ " return;\n",
	+ " }\n",
	+ "\n",
	+ " var msg = JSON.parse(evt.data);\n",
	+ " var msg_type = msg['type'];\n",
	+ "\n",
	+ " // Call the \"handle_{type}\" callback, which takes\n",
	+ " // the figure and JSON message as its only arguments.\n",
	+ " try {\n",
	+ " var callback = fig[\"handle_\" + msg_type];\n",
	+ " } catch (e) {\n",
	+ " console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
	+ " return;\n",
	+ " }\n",
	+ "\n",
	+ " if (callback) {\n",
	+ " try {\n",
	+ " // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
	+ " callback(fig, msg);\n",
	+ " } catch (e) {\n",
	+ " console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
	+ " }\n",
	+ " }\n",
	+ " };\n",
	+ "}\n",
	+ "\n",
	+ "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
	+ "mpl.findpos = function(e) {\n",
	+ " //this section is from http://www.quirksmode.org/js/events_properties.html\n",
	+ " var targ;\n",
	+ " if (!e)\n",
	+ " e = window.event;\n",
	+ " if (e.target)\n",
	+ " targ = e.target;\n",
	+ " else if (e.srcElement)\n",
	+ " targ = e.srcElement;\n",
	+ " if (targ.nodeType == 3) // defeat Safari bug\n",
	+ " targ = targ.parentNode;\n",
	+ "\n",
	+ " // jQuery normalizes the pageX and pageY\n",
	+ " // pageX,Y are the mouse positions relative to the document\n",
	+ " // offset() returns the position of the element relative to the document\n",
	+ " var x = e.pageX - $(targ).offset().left;\n",
	+ " var y = e.pageY - $(targ).offset().top;\n",
	+ "\n",
	+ " return {\"x\": x, \"y\": y};\n",
	+ "};\n",
	+ "\n",
	+ "/*\n",
	+ " * return a copy of an object with only non-object keys\n",
	+ " * we need this to avoid circular references\n",
	+ " * http://stackoverflow.com/a/24161582/3208463\n",
	+ " */\n",
	+ "function simpleKeys (original) {\n",
	+ " return Object.keys(original).reduce(function (obj, key) {\n",
	+ " if (typeof original[key] !== 'object')\n",
	+ " obj[key] = original[key]\n",
	+ " return obj;\n",
	+ " }, {});\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.mouse_event = function(event, name) {\n",
	+ " var canvas_pos = mpl.findpos(event)\n",
	+ "\n",
	+ " if (name === 'button_press')\n",
	+ " {\n",
	+ " this.canvas.focus();\n",
	+ " this.canvas_div.focus();\n",
	+ " }\n",
	+ "\n",
	+ " var x = canvas_pos.x * mpl.ratio;\n",
	+ " var y = canvas_pos.y * mpl.ratio;\n",
	+ "\n",
	+ " this.send_message(name, {x: x, y: y, button: event.button,\n",
	+ " step: event.step,\n",
	+ " guiEvent: simpleKeys(event)});\n",
	+ "\n",
	+ " /* This prevents the web browser from automatically changing to\n",
	+ " * the text insertion cursor when the button is pressed. We want\n",
	+ " * to control all of the cursor setting manually through the\n",
	+ " * 'cursor' event from matplotlib */\n",
	+ " event.preventDefault();\n",
	+ " return false;\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
	+ " // Handle any extra behaviour associated with a key event\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.key_event = function(event, name) {\n",
	+ "\n",
	+ " // Prevent repeat events\n",
	+ " if (name == 'key_press')\n",
	+ " {\n",
	+ " if (event.which === this._key)\n",
	+ " return;\n",
	+ " else\n",
	+ " this._key = event.which;\n",
	+ " }\n",
	+ " if (name == 'key_release')\n",
	+ " this._key = null;\n",
	+ "\n",
	+ " var value = '';\n",
	+ " if (event.ctrlKey && event.which != 17)\n",
	+ " value += \"ctrl+\";\n",
	+ " if (event.altKey && event.which != 18)\n",
	+ " value += \"alt+\";\n",
	+ " if (event.shiftKey && event.which != 16)\n",
	+ " value += \"shift+\";\n",
	+ "\n",
	+ " value += 'k';\n",
	+ " value += event.which.toString();\n",
	+ "\n",
	+ " this._key_event_extra(event, name);\n",
	+ "\n",
	+ " this.send_message(name, {key: value,\n",
	+ " guiEvent: simpleKeys(event)});\n",
	+ " return false;\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
	+ " if (name == 'download') {\n",
	+ " this.handle_save(this, null);\n",
	+ " } else {\n",
	+ " this.send_message(\"toolbar_button\", {name: name});\n",
	+ " }\n",
	+ "};\n",
	+ "\n",
	+ "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
	+ " this.message.textContent = tooltip;\n",
	+ "};\n",
	+ "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
	+ "\n",
	+ "mpl.extensions = [\"eps\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\n",
	+ "\n",
	+ "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
	+ " // Create a \"websocket\"-like object which calls the given IPython comm\n",
	+ " // object with the appropriate methods. Currently this is a non binary\n",
	+ " // socket, so there is still some room for performance tuning.\n",
	+ " var ws = {};\n",
	+ "\n",
	+ " ws.close = function() {\n",
	+ " comm.close()\n",
	+ " };\n",
	+ " ws.send = function(m) {\n",
	+ " //console.log('sending', m);\n",
	+ " comm.send(m);\n",
	+ " };\n",
	+ " // Register the callback with on_msg.\n",
	+ " comm.on_msg(function(msg) {\n",
	+ " //console.log('receiving', msg['content']['data'], msg);\n",
	+ " // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
	+ " ws.onmessage(msg['content']['data'])\n",
	+ " });\n",
	+ " return ws;\n",
	+ "}\n",
	+ "\n",
	+ "mpl.mpl_figure_comm = function(comm, msg) {\n",
	+ " // This is the function which gets called when the mpl process\n",
	+ " // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
	+ "\n",
	+ " var id = msg.content.data.id;\n",
	+ " // Get hold of the div created by the display call when the Comm\n",
	+ " // socket was opened in Python.\n",
	+ " var element = $(\"#\" + id);\n",
	+ " var ws_proxy = comm_websocket_adapter(comm)\n",
	+ "\n",
	+ " function ondownload(figure, format) {\n",
	+ " window.open(figure.imageObj.src);\n",
	+ " }\n",
	+ "\n",
	+ " var fig = new mpl.figure(id, ws_proxy,\n",
	+ " ondownload,\n",
	+ " element.get(0));\n",
	+ "\n",
	+ " // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
	+ " // web socket which is closed, not our websocket->open comm proxy.\n",
	+ " ws_proxy.onopen();\n",
	+ "\n",
	+ " fig.parent_element = element.get(0);\n",
	+ " fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
	+ " if (!fig.cell_info) {\n",
	+ " console.error(\"Failed to find cell for figure\", id, fig);\n",
	+ " return;\n",
	+ " }\n",
	+ "\n",
	+ " var output_index = fig.cell_info[2]\n",
	+ " var cell = fig.cell_info[0];\n",
	+ "\n",
	+ "};\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
	+ " var width = fig.canvas.width/mpl.ratio\n",
	+ " fig.root.unbind('remove')\n",
	+ "\n",
	+ " // Update the output cell to use the data from the current canvas.\n",
	+ " fig.push_to_output();\n",
	+ " var dataURL = fig.canvas.toDataURL();\n",
	+ " // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
	+ " // the notebook keyboard shortcuts fail.\n",
	+ " IPython.keyboard_manager.enable()\n",
	+ " $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
	+ " fig.close_ws(fig, msg);\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.close_ws = function(fig, msg){\n",
	+ " fig.send_message('closing', msg);\n",
	+ " // fig.ws.close()\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
	+ " // Turn the data on the canvas into data in the output cell.\n",
	+ " var width = this.canvas.width/mpl.ratio\n",
	+ " var dataURL = this.canvas.toDataURL();\n",
	+ " this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.updated_canvas_event = function() {\n",
	+ " // Tell IPython that the notebook contents must change.\n",
	+ " IPython.notebook.set_dirty(true);\n",
	+ " this.send_message(\"ack\", {});\n",
	+ " var fig = this;\n",
	+ " // Wait a second, then push the new image to the DOM so\n",
	+ " // that it is saved nicely (might be nice to debounce this).\n",
	+ " setTimeout(function () { fig.push_to_output() }, 1000);\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._init_toolbar = function() {\n",
	+ " var fig = this;\n",
	+ "\n",
	+ " var nav_element = $('<div/>')\n",
	+ " nav_element.attr('style', 'width: 100%');\n",
	+ " this.root.append(nav_element);\n",
	+ "\n",
	+ " // Define a callback function for later on.\n",
	+ " function toolbar_event(event) {\n",
	+ " return fig.toolbar_button_onclick(event['data']);\n",
	+ " }\n",
	+ " function toolbar_mouse_event(event) {\n",
	+ " return fig.toolbar_button_onmouseover(event['data']);\n",
	+ " }\n",
	+ "\n",
	+ " for(var toolbar_ind in mpl.toolbar_items){\n",
	+ " var name = mpl.toolbar_items[toolbar_ind][0];\n",
	+ " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
	+ " var image = mpl.toolbar_items[toolbar_ind][2];\n",
	+ " var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
	+ "\n",
	+ " if (!name) { continue; };\n",
	+ "\n",
	+ " var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
	+ " button.click(method_name, toolbar_event);\n",
	+ " button.mouseover(tooltip, toolbar_mouse_event);\n",
	+ " nav_element.append(button);\n",
	+ " }\n",
	+ "\n",
	+ " // Add the status bar.\n",
	+ " var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
	+ " nav_element.append(status_bar);\n",
	+ " this.message = status_bar[0];\n",
	+ "\n",
	+ " // Add the close button to the window.\n",
	+ " var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
	+ " var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
	+ " button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
	+ " button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
	+ " buttongrp.append(button);\n",
	+ " var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
	+ " titlebar.prepend(buttongrp);\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._root_extra_style = function(el){\n",
	+ " var fig = this\n",
	+ " el.on(\"remove\", function(){\n",
	+ "\tfig.close_ws(fig, {});\n",
	+ " });\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._canvas_extra_style = function(el){\n",
	+ " // this is important to make the div 'focusable\n",
	+ " el.attr('tabindex', 0)\n",
	+ " // reach out to IPython and tell the keyboard manager to turn it's self\n",
	+ " // off when our div gets focus\n",
	+ "\n",
	+ " // location in version 3\n",
	+ " if (IPython.notebook.keyboard_manager) {\n",
	+ " IPython.notebook.keyboard_manager.register_events(el);\n",
	+ " }\n",
	+ " else {\n",
	+ " // location in version 2\n",
	+ " IPython.keyboard_manager.register_events(el);\n",
	+ " }\n",
	+ "\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
	+ " var manager = IPython.notebook.keyboard_manager;\n",
	+ " if (!manager)\n",
	+ " manager = IPython.keyboard_manager;\n",
	+ "\n",
	+ " // Check for shift+enter\n",
	+ " if (event.shiftKey && event.which == 13) {\n",
	+ " this.canvas_div.blur();\n",
	+ " event.shiftKey = false;\n",
	+ " // Send a \"J\" for go to next cell\n",
	+ " event.which = 74;\n",
	+ " event.keyCode = 74;\n",
	+ " manager.command_mode();\n",
	+ " manager.handle_keydown(event);\n",
	+ " }\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
	+ " fig.ondownload(fig, null);\n",
	+ "}\n",
	+ "\n",
	+ "\n",
	+ "mpl.find_output_cell = function(html_output) {\n",
	+ " // Return the cell and output element which can be found uniquely in the notebook.\n",
	+ " // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
	+ " // IPython event is triggered only after the cells have been serialised, which for\n",
	+ " // our purposes (turning an active figure into a static one), is too late.\n",
	+ " var cells = IPython.notebook.get_cells();\n",
	+ " var ncells = cells.length;\n",
	+ " for (var i=0; i<ncells; i++) {\n",
	+ " var cell = cells[i];\n",
	+ " if (cell.cell_type === 'code'){\n",
	+ " for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
	+ " var data = cell.output_area.outputs[j];\n",
	+ " if (data.data) {\n",
	+ " // IPython >= 3 moved mimebundle to data attribute of output\n",
	+ " data = data.data;\n",
	+ " }\n",
	+ " if (data['text/html'] == html_output) {\n",
	+ " return [cell, data, j];\n",
	+ " }\n",
	+ " }\n",
	+ " }\n",
	+ " }\n",
	+ "}\n",
	+ "\n",
	+ "// Register the function which deals with the matplotlib target/channel.\n",
	+ "// The kernel may be null if the page has been refreshed.\n",
	+ "if (IPython.notebook.kernel != null) {\n",
	+ " IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
	+ "}\n"
	],
	"text/plain": [
	- " DF_UID FLAECHE panel_tilt NEIGUNG n_corners count_vert \\\n",
	- "28 5067320 84.389572 33 33 4 31.0 \n",
	- "29 5067321 80.654403 33 33 5 29.0 \n",
	- "30 5067322 179.839079 30 0 9 45.0 \n",
	- "31 5067323 53.744018 68 68 4 0.0 \n",
	- "32 5067325 144.281733 30 0 13 25.0 \n",
	- "33 5067326 24.897309 39 39 4 7.0 \n",
	- "34 5067327 69.601501 36 36 4 23.0 \n",
	- "35 5067328 32.518372 58 58 4 3.0 \n",
	- "36 5067329 79.014634 57 57 4 25.0 \n",
	- "37 5067330 68.824947 23 23 6 22.0 \n",
	- "38 5067331 19.240632 25 25 8 1.0 \n",
	- "39 5067332 10.547885 20 20 3 1.0 \n",
	- "40 5067333 72.197864 23 23 4 27.0 \n",
	- "41 5067334 87.091633 30 0 6 11.0 \n",
	- "42 5067335 14.286324 23 23 9 0.0 \n",
	- "43 5067336 38.741601 27 27 8 13.0 \n",
	- "44 5067337 1.798611 38 38 3 0.0 \n",
	- "45 5067338 23.066670 33 33 7 6.0 \n",
	- "46 5067339 5.199827 53 53 4 0.0 \n",
	- "47 5067340 27.448161 54 54 4 7.0 \n",
	- "48 5067341 124.268134 30 0 12 22.0 \n",
	- "49 5067342 96.070862 30 0 9 5.0 \n",
	- "50 5067343 0.041408 23 23 3 0.0 \n",
	- "51 5067344 1.944723 23 23 3 0.0 \n",
	- "\n",
	- " count_horiz best_align \n",
	- "28 38.0 horizontal \n",
	- "29 29.0 equal \n",
	- "30 43.0 vertical \n",
	- "31 0.0 equal \n",
	- "32 24.0 vertical \n",
	- "33 5.0 vertical \n",
	- "34 14.0 vertical \n",
	- "35 6.0 horizontal \n",
	- "36 15.0 vertical \n",
	- "37 26.0 horizontal \n",
	- "38 2.0 horizontal \n",
	- "39 0.0 vertical \n",
	- "40 30.0 horizontal \n",
	- "41 15.0 horizontal \n",
	- "42 0.0 equal \n",
	- "43 10.0 vertical \n",
	- "44 0.0 equal \n",
	- "45 3.0 vertical \n",
	- "46 0.0 equal \n",
	- "47 4.0 vertical \n",
	- "48 22.0 equal \n",
	- "49 4.0 vertical \n",
	- "50 0.0 equal \n",
	- "51 0.0 equal "
	+ "<IPython.core.display.Javascript object>"
	]
	},
	- "execution_count": 116,
	+ "metadata": {},
	+ "output_type": "display_data"
	+ },
	+ {
	+ "data": {
	+ "text/html": [
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\" width=\"640\">"
	+ ],
	+ "text/plain": [
	+ "<IPython.core.display.HTML object>"
	+ ]
	+ },
	+ "metadata": {},
	+ "output_type": "display_data"
	+ }
	+ ],
	+ "source": [
	+ "fig, ax = plt.subplots()\n",
	+ "roofs.plot(ax = ax, alpha = 0.2, edgecolor = 'k')\n",
	+ "best_panels.plot(ax = ax, color = 'none', edgecolor = 'g')\n",
	+ "plt.show()"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 125,
	+ "metadata": {},
	+ "outputs": [
	+ {
	+ "data": {
	+ "text/plain": [
	+ "{'ellps': 'bessel',\n",
	+ " 'k_0': 1,\n",
	+ " 'lat_0': 46.95240555555556,\n",
	+ " 'lon_0': 7.439583333333333,\n",
	+ " 'no_defs': True,\n",
	+ " 'proj': 'somerc',\n",
	+ " 'units': 'm',\n",
	+ " 'x_0': 2600000,\n",
	+ " 'y_0': 1200000}"
	+ ]
	+ },
	+ "execution_count": 125,
	"metadata": {},
	"output_type": "execute_result"
	}
	],
	"source": [
	- "stats_both"
	+ "best_panels.crs"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 126,
	+ "metadata": {},
	+ "outputs": [],
	+ "source": [
	+ "best_panels.to_file('/Users/alinawalch/Documents/EPFL/data/rooftops/panels_fitted/GVA_noSP_test.shp')"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 127,
	+ "metadata": {},
	+ "outputs": [],
	+ "source": [
	+ "best_vertic = pd.concat([best_vertic, best_equal])\n",
	+ "best_vertic.crs = roofs.crs\n",
	+ "best_vertic.to_file('/Users/alinawalch/Documents/EPFL/data/rooftops/panels_fitted/GVA_noSP_vert.shp')"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 128,
	+ "metadata": {},
	+ "outputs": [],
	+ "source": [
	+ "best_horiz.crs = roofs.crs\n",
	+ "best_horiz.to_file('/Users/alinawalch/Documents/EPFL/data/rooftops/panels_fitted/GVA_noSP_horiz.shp')"
	+ ]
	+ },
	+ {
	+ "cell_type": "markdown",
	+ "metadata": {},
	+ "source": [
	+ "## Do the same thing, but for SP GVA data"
	+ ]
	+ },
	+ {
	+ "cell_type": "markdown",
	+ "metadata": {},
	+ "source": [
	+ "### Import GVA panels for DF_UID of interest"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 122,
	+ "metadata": {},
	+ "outputs": [],
	+ "source": [
	+ "def open_gdf(fp, batch_id, batch_size ):\n",
	+ "# open file with fiona\n",
	+ " file = fiona.open(fp)\n",
	+ "\n",
	+ " # load selected rows from file\n",
	+ " start = batch_id * batch_size\n",
	+ " end = (batch_id + 1) * batch_size\n",
	+ " return gpd.GeoDataFrame.from_features(file[start : end])"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 130,
	+ "metadata": {},
	+ "outputs": [],
	+ "source": [
	+ "fp = '/Users/alinawalch/Documents/EPFL/data/rooftops/panels_fitted/GVA_withSP/horizontal/fitted_panels.shp'\n",
	+ "testroof_horiz = open_gdf(fp, 808, 5000)\n",
	+ "\n",
	+ "fp = '/Users/alinawalch/Documents/EPFL/data/rooftops/panels_fitted/GVA_withSP/vertical/fitted_panels.shp'\n",
	+ "testroof_vertic = open_gdf(fp, 782, 5000)"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 131,
	+ "metadata": {},
	+ "outputs": [],
	+ "source": [
	+ "stats_both = best_panels_GVA"
	]
	},
	{
	"cell_type": "markdown",
	"metadata": {},
	"source": [
	"## Create a geodataframe of best panels"
	]
	},
	{
	"cell_type": "code",
	- "execution_count": 117,
	+ "execution_count": 132,
	"metadata": {},
	"outputs": [],
	"source": [
	"horizontal_DF_UIDs = stats_both.loc[stats_both.best_align == 'horizontal', 'DF_UID']\n",
	"equal_DF_UIDs = stats_both.loc[stats_both.best_align == 'equal', 'DF_UID']\n",
	"vertic_DF_UIDs = stats_both.loc[stats_both.best_align == 'vertical', 'DF_UID']"
	]
	},
	{
	"cell_type": "code",
	- "execution_count": 119,
	+ "execution_count": 133,
	"metadata": {},
	"outputs": [],
	"source": [
	"best_horiz = testroof_horiz[testroof_horiz.DF_UID.isin(horizontal_DF_UIDs)]\n",
	"best_vertic = testroof_vertic[testroof_vertic.DF_UID.isin(vertic_DF_UIDs)]\n",
	"best_equal = testroof_vertic[testroof_vertic.DF_UID.isin(equal_DF_UIDs)]"
	]
	},
	{
	"cell_type": "code",
	- "execution_count": 124,
	+ "execution_count": 134,
	"metadata": {},
	"outputs": [],
	"source": [
	"best_panels = pd.concat([best_horiz, best_vertic, best_equal])\n",
	"best_panels.crs = roofs.crs"
	]
	},
	{
	"cell_type": "code",
	- "execution_count": 121,
	+ "execution_count": 135,
	"metadata": {},
	"outputs": [
	{
	"data": {
	"application/javascript": [
	"/* Put everything inside the global mpl namespace */\n",
	"window.mpl = {};\n",
	"\n",
	"\n",
	"mpl.get_websocket_type = function() {\n",
	" if (typeof(WebSocket) !== 'undefined') {\n",
	" return WebSocket;\n",
	" } else if (typeof(MozWebSocket) !== 'undefined') {\n",
	" return MozWebSocket;\n",
	" } else {\n",
	" alert('Your browser does not have WebSocket support.' +\n",
	" 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
	" 'Firefox 4 and 5 are also supported but you ' +\n",
	" 'have to enable WebSockets in about:config.');\n",
	" };\n",
	"}\n",
	"\n",
	"mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
	" this.id = figure_id;\n",
	"\n",
	" this.ws = websocket;\n",
	"\n",
	" this.supports_binary = (this.ws.binaryType != undefined);\n",
	"\n",
	" if (!this.supports_binary) {\n",
	" var warnings = document.getElementById(\"mpl-warnings\");\n",
	" if (warnings) {\n",
	" warnings.style.display = 'block';\n",
	" warnings.textContent = (\n",
	" \"This browser does not support binary websocket messages. \" +\n",
	" \"Performance may be slow.\");\n",
	" }\n",
	" }\n",
	"\n",
	" this.imageObj = new Image();\n",
	"\n",
	" this.context = undefined;\n",
	" this.message = undefined;\n",
	" this.canvas = undefined;\n",
	" this.rubberband_canvas = undefined;\n",
	" this.rubberband_context = undefined;\n",
	" this.format_dropdown = undefined;\n",
	"\n",
	" this.image_mode = 'full';\n",
	"\n",
	" this.root = $('<div/>');\n",
	" this._root_extra_style(this.root)\n",
	" this.root.attr('style', 'display: inline-block');\n",
	"\n",
	" $(parent_element).append(this.root);\n",
	"\n",
	" this._init_header(this);\n",
	" this._init_canvas(this);\n",
	" this._init_toolbar(this);\n",
	"\n",
	" var fig = this;\n",
	"\n",
	" this.waiting = false;\n",
	"\n",
	" this.ws.onopen = function () {\n",
	" fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
	" fig.send_message(\"send_image_mode\", {});\n",
	" if (mpl.ratio != 1) {\n",
	" fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
	" }\n",
	" fig.send_message(\"refresh\", {});\n",
	" }\n",
	"\n",
	" this.imageObj.onload = function() {\n",
	" if (fig.image_mode == 'full') {\n",
	" // Full images could contain transparency (where diff images\n",
	" // almost always do), so we need to clear the canvas so that\n",
	" // there is no ghosting.\n",
	" fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
	" }\n",
	" fig.context.drawImage(fig.imageObj, 0, 0);\n",
	" };\n",
	"\n",
	" this.imageObj.onunload = function() {\n",
	" fig.ws.close();\n",
	" }\n",
	"\n",
	" this.ws.onmessage = this._make_on_message_function(this);\n",
	"\n",
	" this.ondownload = ondownload;\n",
	"}\n",
	"\n",
	"mpl.figure.prototype._init_header = function() {\n",
	" var titlebar = $(\n",
	" '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
	" 'ui-helper-clearfix\"/>');\n",
	" var titletext = $(\n",
	" '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
	" 'text-align: center; padding: 3px;\"/>');\n",
	" titlebar.append(titletext)\n",
	" this.root.append(titlebar);\n",
	" this.header = titletext[0];\n",
	"}\n",
	"\n",
	"\n",
	"\n",
	"mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
	"\n",
	"}\n",
	"\n",
	"\n",
	"mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
	"\n",
	"}\n",
	"\n",
	"mpl.figure.prototype._init_canvas = function() {\n",
	" var fig = this;\n",
	"\n",
	" var canvas_div = $('<div/>');\n",
	"\n",
	" canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
	"\n",
	" function canvas_keyboard_event(event) {\n",
	" return fig.key_event(event, event['data']);\n",
	" }\n",
	"\n",
	" canvas_div.keydown('key_press', canvas_keyboard_event);\n",
	" canvas_div.keyup('key_release', canvas_keyboard_event);\n",
	" this.canvas_div = canvas_div\n",
	" this._canvas_extra_style(canvas_div)\n",
	" this.root.append(canvas_div);\n",
	"\n",
	" var canvas = $('<canvas/>');\n",
	" canvas.addClass('mpl-canvas');\n",
	" canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
	"\n",
	" this.canvas = canvas[0];\n",
	" this.context = canvas[0].getContext(\"2d\");\n",
	"\n",
	" var backingStore = this.context.backingStorePixelRatio \|\|\n",
	"\tthis.context.webkitBackingStorePixelRatio \|\|\n",
	"\tthis.context.mozBackingStorePixelRatio \|\|\n",
	"\tthis.context.msBackingStorePixelRatio \|\|\n",
	"\tthis.context.oBackingStorePixelRatio \|\|\n",
	"\tthis.context.backingStorePixelRatio \|\| 1;\n",
	"\n",
	" mpl.ratio = (window.devicePixelRatio \|\| 1) / backingStore;\n",
	"\n",
	" var rubberband = $('<canvas/>');\n",
	" rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
	"\n",
	" var pass_mouse_events = true;\n",
	"\n",
	" canvas_div.resizable({\n",
	" start: function(event, ui) {\n",
	" pass_mouse_events = false;\n",
	" },\n",
	" resize: function(event, ui) {\n",
	" fig.request_resize(ui.size.width, ui.size.height);\n",
	" },\n",
	" stop: function(event, ui) {\n",
	" pass_mouse_events = true;\n",
	" fig.request_resize(ui.size.width, ui.size.height);\n",
	" },\n",
	" });\n",
	"\n",
	" function mouse_event_fn(event) {\n",
	" if (pass_mouse_events)\n",
	" return fig.mouse_event(event, event['data']);\n",
	" }\n",
	"\n",
	" rubberband.mousedown('button_press', mouse_event_fn);\n",
	" rubberband.mouseup('button_release', mouse_event_fn);\n",
	" // Throttle sequential mouse events to 1 every 20ms.\n",
	" rubberband.mousemove('motion_notify', mouse_event_fn);\n",
	"\n",
	" rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
	" rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
	"\n",
	" canvas_div.on(\"wheel\", function (event) {\n",
	" event = event.originalEvent;\n",
	" event['data'] = 'scroll'\n",
	" if (event.deltaY < 0) {\n",
	" event.step = 1;\n",
	" } else {\n",
	" event.step = -1;\n",
	" }\n",
	" mouse_event_fn(event);\n",
	" });\n",
	"\n",
	" canvas_div.append(canvas);\n",
	" canvas_div.append(rubberband);\n",
	"\n",
	" this.rubberband = rubberband;\n",
	" this.rubberband_canvas = rubberband[0];\n",
	" this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
	" this.rubberband_context.strokeStyle = \"#000000\";\n",
	"\n",
	" this._resize_canvas = function(width, height) {\n",
	" // Keep the size of the canvas, canvas container, and rubber band\n",
	" // canvas in synch.\n",
	" canvas_div.css('width', width)\n",
	" canvas_div.css('height', height)\n",
	"\n",
	" canvas.attr('width', width * mpl.ratio);\n",
	" canvas.attr('height', height * mpl.ratio);\n",
	" canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
	"\n",
	" rubberband.attr('width', width);\n",
	" rubberband.attr('height', height);\n",
	" }\n",
	"\n",
	" // Set the figure to an initial 600x600px, this will subsequently be updated\n",
	" // upon first draw.\n",
	" this._resize_canvas(600, 600);\n",
	"\n",
	" // Disable right mouse context menu.\n",
	" $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
	" return false;\n",
	" });\n",
	"\n",
	" function set_focus () {\n",
	" canvas.focus();\n",
	" canvas_div.focus();\n",
	" }\n",
	"\n",
	" window.setTimeout(set_focus, 100);\n",
	"}\n",
	"\n",
	"mpl.figure.prototype._init_toolbar = function() {\n",
	" var fig = this;\n",
	"\n",
	" var nav_element = $('<div/>')\n",
	" nav_element.attr('style', 'width: 100%');\n",
	" this.root.append(nav_element);\n",
	"\n",
	" // Define a callback function for later on.\n",
	" function toolbar_event(event) {\n",
	" return fig.toolbar_button_onclick(event['data']);\n",
	" }\n",
	" function toolbar_mouse_event(event) {\n",
	" return fig.toolbar_button_onmouseover(event['data']);\n",
	" }\n",
	"\n",
	" for(var toolbar_ind in mpl.toolbar_items) {\n",
	" var name = mpl.toolbar_items[toolbar_ind][0];\n",
	" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
	" var image = mpl.toolbar_items[toolbar_ind][2];\n",
	" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
	"\n",
	" if (!name) {\n",
	" // put a spacer in here.\n",
	" continue;\n",
	" }\n",
	" var button = $('<button/>');\n",
	" button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
	" 'ui-button-icon-only');\n",
	" button.attr('role', 'button');\n",
	" button.attr('aria-disabled', 'false');\n",
	" button.click(method_name, toolbar_event);\n",
	" button.mouseover(tooltip, toolbar_mouse_event);\n",
	"\n",
	" var icon_img = $('<span/>');\n",
	" icon_img.addClass('ui-button-icon-primary ui-icon');\n",
	" icon_img.addClass(image);\n",
	" icon_img.addClass('ui-corner-all');\n",
	"\n",
	" var tooltip_span = $('<span/>');\n",
	" tooltip_span.addClass('ui-button-text');\n",
	" tooltip_span.html(tooltip);\n",
	"\n",
	" button.append(icon_img);\n",
	" button.append(tooltip_span);\n",
	"\n",
	" nav_element.append(button);\n",
	" }\n",
	"\n",
	" var fmt_picker_span = $('<span/>');\n",
	"\n",
	" var fmt_picker = $('<select/>');\n",
	" fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
	" fmt_picker_span.append(fmt_picker);\n",
	" nav_element.append(fmt_picker_span);\n",
	" this.format_dropdown = fmt_picker[0];\n",
	"\n",
	" for (var ind in mpl.extensions) {\n",
	" var fmt = mpl.extensions[ind];\n",
	" var option = $(\n",
	" '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
	" fmt_picker.append(option)\n",
	" }\n",
	"\n",
	" // Add hover states to the ui-buttons\n",
	" $( \".ui-button\" ).hover(\n",
	" function() { $(this).addClass(\"ui-state-hover\");},\n",
	" function() { $(this).removeClass(\"ui-state-hover\");}\n",
	" );\n",
	"\n",
	" var status_bar = $('<span class=\"mpl-message\"/>');\n",
	" nav_element.append(status_bar);\n",
	" this.message = status_bar[0];\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
	" // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
	" // which will in turn request a refresh of the image.\n",
	" this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.send_message = function(type, properties) {\n",
	" properties['type'] = type;\n",
	" properties['figure_id'] = this.id;\n",
	" this.ws.send(JSON.stringify(properties));\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.send_draw_message = function() {\n",
	" if (!this.waiting) {\n",
	" this.waiting = true;\n",
	" this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
	" }\n",
	"}\n",
	"\n",
	"\n",
	"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
	" var format_dropdown = fig.format_dropdown;\n",
	" var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
	" fig.ondownload(fig, format);\n",
	"}\n",
	"\n",
	"\n",
	"mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
	" var size = msg['size'];\n",
	" if (size[0] != fig.canvas.width \|\| size[1] != fig.canvas.height) {\n",
	" fig._resize_canvas(size[0], size[1]);\n",
	" fig.send_message(\"refresh\", {});\n",
	" };\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
	" var x0 = msg['x0'] / mpl.ratio;\n",
	" var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
	" var x1 = msg['x1'] / mpl.ratio;\n",
	" var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
	" x0 = Math.floor(x0) + 0.5;\n",
	" y0 = Math.floor(y0) + 0.5;\n",
	" x1 = Math.floor(x1) + 0.5;\n",
	" y1 = Math.floor(y1) + 0.5;\n",
	" var min_x = Math.min(x0, x1);\n",
	" var min_y = Math.min(y0, y1);\n",
	" var width = Math.abs(x1 - x0);\n",
	" var height = Math.abs(y1 - y0);\n",
	"\n",
	" fig.rubberband_context.clearRect(\n",
	" 0, 0, fig.canvas.width, fig.canvas.height);\n",
	"\n",
	" fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
	" // Updates the figure title.\n",
	" fig.header.textContent = msg['label'];\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
	" var cursor = msg['cursor'];\n",
	" switch(cursor)\n",
	" {\n",
	" case 0:\n",
	" cursor = 'pointer';\n",
	" break;\n",
	" case 1:\n",
	" cursor = 'default';\n",
	" break;\n",
	" case 2:\n",
	" cursor = 'crosshair';\n",
	" break;\n",
	" case 3:\n",
	" cursor = 'move';\n",
	" break;\n",
	" }\n",
	" fig.rubberband_canvas.style.cursor = cursor;\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.handle_message = function(fig, msg) {\n",
	" fig.message.textContent = msg['message'];\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
	" // Request the server to send over a new figure.\n",
	" fig.send_draw_message();\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
	" fig.image_mode = msg['mode'];\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.updated_canvas_event = function() {\n",
	" // Called whenever the canvas gets updated.\n",
	" this.send_message(\"ack\", {});\n",
	"}\n",
	"\n",
	"// A function to construct a web socket function for onmessage handling.\n",
	"// Called in the figure constructor.\n",
	"mpl.figure.prototype._make_on_message_function = function(fig) {\n",
	" return function socket_on_message(evt) {\n",
	" if (evt.data instanceof Blob) {\n",
	" /* FIXME: We get \"Resource interpreted as Image but\n",
	" * transferred with MIME type text/plain:\" errors on\n",
	" * Chrome. But how to set the MIME type? It doesn't seem\n",
	" * to be part of the websocket stream */\n",
	" evt.data.type = \"image/png\";\n",
	"\n",
	" /* Free the memory for the previous frames */\n",
	" if (fig.imageObj.src) {\n",
	" (window.URL \|\| window.webkitURL).revokeObjectURL(\n",
	" fig.imageObj.src);\n",
	" }\n",
	"\n",
	" fig.imageObj.src = (window.URL \|\| window.webkitURL).createObjectURL(\n",
	" evt.data);\n",
	" fig.updated_canvas_event();\n",
	" fig.waiting = false;\n",
	" return;\n",
	" }\n",
	" else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
	" fig.imageObj.src = evt.data;\n",
	" fig.updated_canvas_event();\n",
	" fig.waiting = false;\n",
	" return;\n",
	" }\n",
	"\n",
	" var msg = JSON.parse(evt.data);\n",
	" var msg_type = msg['type'];\n",
	"\n",
	" // Call the \"handle_{type}\" callback, which takes\n",
	" // the figure and JSON message as its only arguments.\n",
	" try {\n",
	" var callback = fig[\"handle_\" + msg_type];\n",
	" } catch (e) {\n",
	" console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
	" return;\n",
	" }\n",
	"\n",
	" if (callback) {\n",
	" try {\n",
	" // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
	" callback(fig, msg);\n",
	" } catch (e) {\n",
	" console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
	" }\n",
	" }\n",
	" };\n",
	"}\n",
	"\n",
	"// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
	"mpl.findpos = function(e) {\n",
	" //this section is from http://www.quirksmode.org/js/events_properties.html\n",
	" var targ;\n",
	" if (!e)\n",
	" e = window.event;\n",
	" if (e.target)\n",
	" targ = e.target;\n",
	" else if (e.srcElement)\n",
	" targ = e.srcElement;\n",
	" if (targ.nodeType == 3) // defeat Safari bug\n",
	" targ = targ.parentNode;\n",
	"\n",
	" // jQuery normalizes the pageX and pageY\n",
	" // pageX,Y are the mouse positions relative to the document\n",
	" // offset() returns the position of the element relative to the document\n",
	" var x = e.pageX - $(targ).offset().left;\n",
	" var y = e.pageY - $(targ).offset().top;\n",
	"\n",
	" return {\"x\": x, \"y\": y};\n",
	"};\n",
	"\n",
	"/*\n",
	" * return a copy of an object with only non-object keys\n",
	" * we need this to avoid circular references\n",
	" * http://stackoverflow.com/a/24161582/3208463\n",
	" */\n",
	"function simpleKeys (original) {\n",
	" return Object.keys(original).reduce(function (obj, key) {\n",
	" if (typeof original[key] !== 'object')\n",
	" obj[key] = original[key]\n",
	" return obj;\n",
	" }, {});\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.mouse_event = function(event, name) {\n",
	" var canvas_pos = mpl.findpos(event)\n",
	"\n",
	" if (name === 'button_press')\n",
	" {\n",
	" this.canvas.focus();\n",
	" this.canvas_div.focus();\n",
	" }\n",
	"\n",
	" var x = canvas_pos.x * mpl.ratio;\n",
	" var y = canvas_pos.y * mpl.ratio;\n",
	"\n",
	" this.send_message(name, {x: x, y: y, button: event.button,\n",
	" step: event.step,\n",
	" guiEvent: simpleKeys(event)});\n",
	"\n",
	" /* This prevents the web browser from automatically changing to\n",
	" * the text insertion cursor when the button is pressed. We want\n",
	" * to control all of the cursor setting manually through the\n",
	" * 'cursor' event from matplotlib */\n",
	" event.preventDefault();\n",
	" return false;\n",
	"}\n",
	"\n",
	"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
	" // Handle any extra behaviour associated with a key event\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.key_event = function(event, name) {\n",
	"\n",
	" // Prevent repeat events\n",
	" if (name == 'key_press')\n",
	" {\n",
	" if (event.which === this._key)\n",
	" return;\n",
	" else\n",
	" this._key = event.which;\n",
	" }\n",
	" if (name == 'key_release')\n",
	" this._key = null;\n",
	"\n",
	" var value = '';\n",
	" if (event.ctrlKey && event.which != 17)\n",
	" value += \"ctrl+\";\n",
	" if (event.altKey && event.which != 18)\n",
	" value += \"alt+\";\n",
	" if (event.shiftKey && event.which != 16)\n",
	" value += \"shift+\";\n",
	"\n",
	" value += 'k';\n",
	" value += event.which.toString();\n",
	"\n",
	" this._key_event_extra(event, name);\n",
	"\n",
	" this.send_message(name, {key: value,\n",
	" guiEvent: simpleKeys(event)});\n",
	" return false;\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
	" if (name == 'download') {\n",
	" this.handle_save(this, null);\n",
	" } else {\n",
	" this.send_message(\"toolbar_button\", {name: name});\n",
	" }\n",
	"};\n",
	"\n",
	"mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
	" this.message.textContent = tooltip;\n",
	"};\n",
	"mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
	"\n",
	"mpl.extensions = [\"eps\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\n",
	"\n",
	"mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
	" // Create a \"websocket\"-like object which calls the given IPython comm\n",
	" // object with the appropriate methods. Currently this is a non binary\n",
	" // socket, so there is still some room for performance tuning.\n",
	" var ws = {};\n",
	"\n",
	" ws.close = function() {\n",
	" comm.close()\n",
	" };\n",
	" ws.send = function(m) {\n",
	" //console.log('sending', m);\n",
	" comm.send(m);\n",
	" };\n",
	" // Register the callback with on_msg.\n",
	" comm.on_msg(function(msg) {\n",
	" //console.log('receiving', msg['content']['data'], msg);\n",
	" // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
	" ws.onmessage(msg['content']['data'])\n",
	" });\n",
	" return ws;\n",
	"}\n",
	"\n",
	"mpl.mpl_figure_comm = function(comm, msg) {\n",
	" // This is the function which gets called when the mpl process\n",
	" // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
	"\n",
	" var id = msg.content.data.id;\n",
	" // Get hold of the div created by the display call when the Comm\n",
	" // socket was opened in Python.\n",
	" var element = $(\"#\" + id);\n",
	" var ws_proxy = comm_websocket_adapter(comm)\n",
	"\n",
	" function ondownload(figure, format) {\n",
	" window.open(figure.imageObj.src);\n",
	" }\n",
	"\n",
	" var fig = new mpl.figure(id, ws_proxy,\n",
	" ondownload,\n",
	" element.get(0));\n",
	"\n",
	" // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
	" // web socket which is closed, not our websocket->open comm proxy.\n",
	" ws_proxy.onopen();\n",
	"\n",
	" fig.parent_element = element.get(0);\n",
	" fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
	" if (!fig.cell_info) {\n",
	" console.error(\"Failed to find cell for figure\", id, fig);\n",
	" return;\n",
	" }\n",
	"\n",
	" var output_index = fig.cell_info[2]\n",
	" var cell = fig.cell_info[0];\n",
	"\n",
	"};\n",
	"\n",
	"mpl.figure.prototype.handle_close = function(fig, msg) {\n",
	" var width = fig.canvas.width/mpl.ratio\n",
	" fig.root.unbind('remove')\n",
	"\n",
	" // Update the output cell to use the data from the current canvas.\n",
	" fig.push_to_output();\n",
	" var dataURL = fig.canvas.toDataURL();\n",
	" // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
	" // the notebook keyboard shortcuts fail.\n",
	" IPython.keyboard_manager.enable()\n",
	" $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
	" fig.close_ws(fig, msg);\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.close_ws = function(fig, msg){\n",
	" fig.send_message('closing', msg);\n",
	" // fig.ws.close()\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
	" // Turn the data on the canvas into data in the output cell.\n",
	" var width = this.canvas.width/mpl.ratio\n",
	" var dataURL = this.canvas.toDataURL();\n",
	" this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.updated_canvas_event = function() {\n",
	" // Tell IPython that the notebook contents must change.\n",
	" IPython.notebook.set_dirty(true);\n",
	" this.send_message(\"ack\", {});\n",
	" var fig = this;\n",
	" // Wait a second, then push the new image to the DOM so\n",
	" // that it is saved nicely (might be nice to debounce this).\n",
	" setTimeout(function () { fig.push_to_output() }, 1000);\n",
	"}\n",
	"\n",
	"mpl.figure.prototype._init_toolbar = function() {\n",
	" var fig = this;\n",
	"\n",
	" var nav_element = $('<div/>')\n",
	" nav_element.attr('style', 'width: 100%');\n",
	" this.root.append(nav_element);\n",
	"\n",
	" // Define a callback function for later on.\n",
	" function toolbar_event(event) {\n",
	" return fig.toolbar_button_onclick(event['data']);\n",
	" }\n",
	" function toolbar_mouse_event(event) {\n",
	" return fig.toolbar_button_onmouseover(event['data']);\n",
	" }\n",
	"\n",
	" for(var toolbar_ind in mpl.toolbar_items){\n",
	" var name = mpl.toolbar_items[toolbar_ind][0];\n",
	" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
	" var image = mpl.toolbar_items[toolbar_ind][2];\n",
	" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
	"\n",
	" if (!name) { continue; };\n",
	"\n",
	" var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
	" button.click(method_name, toolbar_event);\n",
	" button.mouseover(tooltip, toolbar_mouse_event);\n",
	" nav_element.append(button);\n",
	" }\n",
	"\n",
	" // Add the status bar.\n",
	" var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
	" nav_element.append(status_bar);\n",
	" this.message = status_bar[0];\n",
	"\n",
	" // Add the close button to the window.\n",
	" var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
	" var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
	" button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
	" button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
	" buttongrp.append(button);\n",
	" var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
	" titlebar.prepend(buttongrp);\n",
	"}\n",
	"\n",
	"mpl.figure.prototype._root_extra_style = function(el){\n",
	" var fig = this\n",
	" el.on(\"remove\", function(){\n",
	"\tfig.close_ws(fig, {});\n",
	" });\n",
	"}\n",
	"\n",
	"mpl.figure.prototype._canvas_extra_style = function(el){\n",
	" // this is important to make the div 'focusable\n",
	" el.attr('tabindex', 0)\n",
	" // reach out to IPython and tell the keyboard manager to turn it's self\n",
	" // off when our div gets focus\n",
	"\n",
	" // location in version 3\n",
	" if (IPython.notebook.keyboard_manager) {\n",
	" IPython.notebook.keyboard_manager.register_events(el);\n",
	" }\n",
	" else {\n",
	" // location in version 2\n",
	" IPython.keyboard_manager.register_events(el);\n",
	" }\n",
	"\n",
	"}\n",
	"\n",
	"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
	" var manager = IPython.notebook.keyboard_manager;\n",
	" if (!manager)\n",
	" manager = IPython.keyboard_manager;\n",
	"\n",
	" // Check for shift+enter\n",
	" if (event.shiftKey && event.which == 13) {\n",
	" this.canvas_div.blur();\n",
	" event.shiftKey = false;\n",
	" // Send a \"J\" for go to next cell\n",
	" event.which = 74;\n",
	" event.keyCode = 74;\n",
	" manager.command_mode();\n",
	" manager.handle_keydown(event);\n",
	" }\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
	" fig.ondownload(fig, null);\n",
	"}\n",
	"\n",
	"\n",
	"mpl.find_output_cell = function(html_output) {\n",
	" // Return the cell and output element which can be found uniquely in the notebook.\n",
	" // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
	" // IPython event is triggered only after the cells have been serialised, which for\n",
	" // our purposes (turning an active figure into a static one), is too late.\n",
	" var cells = IPython.notebook.get_cells();\n",
	" var ncells = cells.length;\n",
	" for (var i=0; i<ncells; i++) {\n",
	" var cell = cells[i];\n",
	" if (cell.cell_type === 'code'){\n",
	" for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
	" var data = cell.output_area.outputs[j];\n",
	" if (data.data) {\n",
	" // IPython >= 3 moved mimebundle to data attribute of output\n",
	" data = data.data;\n",
	" }\n",
	" if (data['text/html'] == html_output) {\n",
	" return [cell, data, j];\n",
	" }\n",
	" }\n",
	" }\n",
	" }\n",
	"}\n",
	"\n",
	"// Register the function which deals with the matplotlib target/channel.\n",
	"// The kernel may be null if the page has been refreshed.\n",
	"if (IPython.notebook.kernel != null) {\n",
	" IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
	"}\n"
	],
	"text/plain": [
	"<IPython.core.display.Javascript object>"
	]
	},
	"metadata": {},
	"output_type": "display_data"
	},
	{
	"data": {
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\" 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	+ "<img 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\" 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	],
	"text/plain": [
	"<IPython.core.display.HTML object>"
	]
	},
	"metadata": {},
	"output_type": "display_data"
	}
	],
	"source": [
	"fig, ax = plt.subplots()\n",
	"roofs.plot(ax = ax, alpha = 0.2, edgecolor = 'k')\n",
	"best_panels.plot(ax = ax, color = 'none', edgecolor = 'g')\n",
	"plt.show()"
	]
	},
	- {
	- "cell_type": "code",
	- "execution_count": 125,
	- "metadata": {},
	- "outputs": [
	- {
	- "data": {
	- "text/plain": [
	- "{'ellps': 'bessel',\n",
	- " 'k_0': 1,\n",
	- " 'lat_0': 46.95240555555556,\n",
	- " 'lon_0': 7.439583333333333,\n",
	- " 'no_defs': True,\n",
	- " 'proj': 'somerc',\n",
	- " 'units': 'm',\n",
	- " 'x_0': 2600000,\n",
	- " 'y_0': 1200000}"
	- ]
	- },
	- "execution_count": 125,
	- "metadata": {},
	- "output_type": "execute_result"
	- }
	- ],
	- "source": [
	- "best_panels.crs"
	- ]
	- },
	- {
	- "cell_type": "code",
	- "execution_count": 126,
	- "metadata": {},
	- "outputs": [],
	- "source": [
	- "best_panels.to_file('/Users/alinawalch/Documents/EPFL/data/rooftops/panels_fitted/GVA_noSP_test.shp')"
	- ]
	- },
	- {
	- "cell_type": "code",
	- "execution_count": 127,
	- "metadata": {},
	- "outputs": [],
	- "source": [
	- "best_vertic = pd.concat([best_vertic, best_equal])\n",
	- "best_vertic.crs = roofs.crs\n",
	- "best_vertic.to_file('/Users/alinawalch/Documents/EPFL/data/rooftops/panels_fitted/GVA_noSP_vert.shp')"
	- ]
	- },
	- {
	- "cell_type": "code",
	- "execution_count": 128,
	- "metadata": {},
	- "outputs": [],
	- "source": [
	- "best_horiz.crs = roofs.crs\n",
	- "best_horiz.to_file('/Users/alinawalch/Documents/EPFL/data/rooftops/panels_fitted/GVA_noSP_horiz.shp')"
	- ]
	- },
	{
	"cell_type": "code",
	"execution_count": null,
	"metadata": {},
	"outputs": [],
	"source": []
	}
	],
	"metadata": {
	"kernelspec": {
	"display_name": "Python 3",
	"language": "python",
	"name": "python3"
	},
	"language_info": {
	"codemirror_mode": {
	"name": "ipython",
	"version": 3
	},
	"file_extension": ".py",
	"mimetype": "text/x-python",
	"name": "python",
	"nbconvert_exporter": "python",
	"pygments_lexer": "ipython3",
	- "version": "3.5.5"
	+ "version": "3.6.4"
	}
	},
	"nbformat": 4,
	"nbformat_minor": 2
	}
	diff --git a/Panel_fitting/new_GVA_panelled_area.ipynb b/Panel_fitting/new_GVA_panelled_area.ipynb
	new file mode 100644
	index 0000000..3d186f8
	--- /dev/null
	+++ b/Panel_fitting/new_GVA_panelled_area.ipynb
	@@ -0,0 +1,2912 @@
	+{
	+ "cells": [
	+ {
	+ "cell_type": "code",
	+ "execution_count": 1,
	+ "metadata": {},
	+ "outputs": [],
	+ "source": [
	+ "import pandas as pd\n",
	+ "import numpy as np\n",
	+ "import os"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 2,
	+ "metadata": {},
	+ "outputs": [],
	+ "source": [
	+ "best_fp = '/Users/alinawalch/Documents/EPFL/data/rooftops/panel_stats_final/panelled_area_stats_GVA_best.csv'\n",
	+ "GVA_new = pd.read_csv(best_fp)"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 11,
	+ "metadata": {},
	+ "outputs": [],
	+ "source": [
	+ "trn_fp = '/Users/alinawalch/Documents/EPFL/data/rooftops/TRN_available_area_data_all.csv'\n",
	+ "TRN_all = pd.read_csv(trn_fp, index_col = 0)"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 12,
	+ "metadata": {},
	+ "outputs": [
	+ {
	+ "data": {
	+ "text/plain": [
	+ "0.4638782796479465"
	+ ]
	+ },
	+ "execution_count": 12,
	+ "metadata": {},
	+ "output_type": "execute_result"
	+ }
	+ ],
	+ "source": [
	+ "TRN_all.panelled_area_ratio_tgt.mean()"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 5,
	+ "metadata": {},
	+ "outputs": [
	+ {
	+ "data": {
	+ "text/plain": [
	+ "0.3828364381782804"
	+ ]
	+ },
	+ "execution_count": 5,
	+ "metadata": {},
	+ "output_type": "execute_result"
	+ }
	+ ],
	+ "source": [
	+ "GVA_new.panelled_area_ratio.mean()"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 6,
	+ "metadata": {},
	+ "outputs": [
	+ {
	+ "data": {
	+ "text/plain": [
	+ "154824"
	+ ]
	+ },
	+ "execution_count": 6,
	+ "metadata": {},
	+ "output_type": "execute_result"
	+ }
	+ ],
	+ "source": [
	+ "len(TRN_all)"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 7,
	+ "metadata": {
	+ "scrolled": true
	+ },
	+ "outputs": [
	+ {
	+ "data": {
	+ "text/html": [
	+ "<div>\n",
	+ "<style scoped>\n",
	+ " .dataframe tbody tr th:only-of-type {\n",
	+ " vertical-align: middle;\n",
	+ " }\n",
	+ "\n",
	+ " .dataframe tbody tr th {\n",
	+ " vertical-align: top;\n",
	+ " }\n",
	+ "\n",
	+ " .dataframe thead th {\n",
	+ " text-align: right;\n",
	+ " }\n",
	+ "</style>\n",
	+ "<table border=\"1\" class=\"dataframe\">\n",
	+ " <thead>\n",
	+ " <tr style=\"text-align: right;\">\n",
	+ " <th></th>\n",
	+ " <th>DF_UID</th>\n",
	+ " <th>panel_tilt</th>\n",
	+ " <th>best_align</th>\n",
	+ " <th>panel_count</th>\n",
	+ " <th>panelled_area</th>\n",
	+ " <th>panelled_area_ratio</th>\n",
	+ " </tr>\n",
	+ " </thead>\n",
	+ " <tbody>\n",
	+ " <tr>\n",
	+ " <th>0</th>\n",
	+ " <td>4817410</td>\n",
	+ " <td>10</td>\n",
	+ " <td>vertical</td>\n",
	+ " <td>36.0</td>\n",
	+ " <td>57.600000</td>\n",
	+ " <td>0.805740</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>1</th>\n",
	+ " <td>4817425</td>\n",
	+ " <td>37</td>\n",
	+ " <td>equal</td>\n",
	+ " <td>4.0</td>\n",
	+ " <td>6.400000</td>\n",
	+ " <td>0.173631</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>2</th>\n",
	+ " <td>4817426</td>\n",
	+ " <td>31</td>\n",
	+ " <td>horizontal</td>\n",
	+ " <td>5.0</td>\n",
	+ " <td>8.000000</td>\n",
	+ " <td>0.155843</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>3</th>\n",
	+ " <td>4817427</td>\n",
	+ " <td>37</td>\n",
	+ " <td>horizontal</td>\n",
	+ " <td>5.0</td>\n",
	+ " <td>8.000000</td>\n",
	+ " <td>0.217029</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>4</th>\n",
	+ " <td>4817428</td>\n",
	+ " <td>28</td>\n",
	+ " <td>vertical</td>\n",
	+ " <td>36.0</td>\n",
	+ " <td>57.600000</td>\n",
	+ " <td>0.708866</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>5</th>\n",
	+ " <td>4817429</td>\n",
	+ " <td>27</td>\n",
	+ " <td>equal</td>\n",
	+ " <td>1.0</td>\n",
	+ " <td>1.600000</td>\n",
	+ " <td>0.140385</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>7</th>\n",
	+ " <td>4817431</td>\n",
	+ " <td>31</td>\n",
	+ " <td>vertical</td>\n",
	+ " <td>88.0</td>\n",
	+ " <td>140.800000</td>\n",
	+ " <td>0.806868</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>8</th>\n",
	+ " <td>4817432</td>\n",
	+ " <td>31</td>\n",
	+ " <td>vertical</td>\n",
	+ " <td>88.0</td>\n",
	+ " <td>140.800000</td>\n",
	+ " <td>0.808692</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>9</th>\n",
	+ " <td>4817433</td>\n",
	+ " <td>26</td>\n",
	+ " <td>horizontal</td>\n",
	+ " <td>12.0</td>\n",
	+ " <td>19.200000</td>\n",
	+ " <td>0.277391</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>10</th>\n",
	+ " <td>4817434</td>\n",
	+ " <td>31</td>\n",
	+ " <td>horizontal</td>\n",
	+ " <td>8.0</td>\n",
	+ " <td>12.800000</td>\n",
	+ " <td>0.479105</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>11</th>\n",
	+ " <td>4817435</td>\n",
	+ " <td>31</td>\n",
	+ " <td>horizontal</td>\n",
	+ " <td>8.0</td>\n",
	+ " <td>12.800000</td>\n",
	+ " <td>0.491953</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>12</th>\n",
	+ " <td>4817436</td>\n",
	+ " <td>33</td>\n",
	+ " <td>equal</td>\n",
	+ " <td>2.0</td>\n",
	+ " <td>3.200000</td>\n",
	+ " <td>0.240439</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>13</th>\n",
	+ " <td>4817437</td>\n",
	+ " <td>32</td>\n",
	+ " <td>vertical</td>\n",
	+ " <td>2.0</td>\n",
	+ " <td>3.200000</td>\n",
	+ " <td>0.236983</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>14</th>\n",
	+ " <td>4817438</td>\n",
	+ " <td>26</td>\n",
	+ " <td>vertical</td>\n",
	+ " <td>54.0</td>\n",
	+ " <td>86.400000</td>\n",
	+ " <td>0.664420</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>15</th>\n",
	+ " <td>4817439</td>\n",
	+ " <td>26</td>\n",
	+ " <td>vertical</td>\n",
	+ " <td>54.0</td>\n",
	+ " <td>86.400000</td>\n",
	+ " <td>0.683138</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>16</th>\n",
	+ " <td>4817440</td>\n",
	+ " <td>37</td>\n",
	+ " <td>horizontal</td>\n",
	+ " <td>20.0</td>\n",
	+ " <td>32.000000</td>\n",
	+ " <td>0.673116</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>17</th>\n",
	+ " <td>4817441</td>\n",
	+ " <td>32</td>\n",
	+ " <td>horizontal</td>\n",
	+ " <td>10.0</td>\n",
	+ " <td>16.000000</td>\n",
	+ " <td>0.450739</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>18</th>\n",
	+ " <td>4817442</td>\n",
	+ " <td>38</td>\n",
	+ " <td>vertical</td>\n",
	+ " <td>20.0</td>\n",
	+ " <td>32.000000</td>\n",
	+ " <td>0.641952</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>23</th>\n",
	+ " <td>4817448</td>\n",
	+ " <td>28</td>\n",
	+ " <td>horizontal</td>\n",
	+ " <td>10.0</td>\n",
	+ " <td>16.000000</td>\n",
	+ " <td>0.457623</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>24</th>\n",
	+ " <td>4817449</td>\n",
	+ " <td>7</td>\n",
	+ " <td>vertical</td>\n",
	+ " <td>8.0</td>\n",
	+ " <td>12.800000</td>\n",
	+ " <td>0.640659</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>25</th>\n",
	+ " <td>4817450</td>\n",
	+ " <td>18</td>\n",
	+ " <td>horizontal</td>\n",
	+ " <td>6.0</td>\n",
	+ " <td>9.600000</td>\n",
	+ " <td>0.454549</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>26</th>\n",
	+ " <td>4817451</td>\n",
	+ " <td>19</td>\n",
	+ " <td>horizontal</td>\n",
	+ " <td>6.0</td>\n",
	+ " <td>9.600000</td>\n",
	+ " <td>0.449135</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>27</th>\n",
	+ " <td>4817452</td>\n",
	+ " <td>35</td>\n",
	+ " <td>horizontal</td>\n",
	+ " <td>30.0</td>\n",
	+ " <td>48.000000</td>\n",
	+ " <td>0.697125</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>28</th>\n",
	+ " <td>4817453</td>\n",
	+ " <td>34</td>\n",
	+ " <td>horizontal</td>\n",
	+ " <td>22.0</td>\n",
	+ " <td>35.200000</td>\n",
	+ " <td>0.673084</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>29</th>\n",
	+ " <td>4817458</td>\n",
	+ " <td>34</td>\n",
	+ " <td>vertical</td>\n",
	+ " <td>135.0</td>\n",
	+ " <td>216.000000</td>\n",
	+ " <td>0.834434</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>30</th>\n",
	+ " <td>4817459</td>\n",
	+ " <td>30</td>\n",
	+ " <td>vertical</td>\n",
	+ " <td>125.0</td>\n",
	+ " <td>200.000000</td>\n",
	+ " <td>0.767733</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>31</th>\n",
	+ " <td>4817460</td>\n",
	+ " <td>24</td>\n",
	+ " <td>vertical</td>\n",
	+ " <td>10.0</td>\n",
	+ " <td>16.000000</td>\n",
	+ " <td>0.478251</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>32</th>\n",
	+ " <td>4817461</td>\n",
	+ " <td>22</td>\n",
	+ " <td>horizontal</td>\n",
	+ " <td>17.0</td>\n",
	+ " <td>27.200000</td>\n",
	+ " <td>0.593609</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>33</th>\n",
	+ " <td>4817463</td>\n",
	+ " <td>33</td>\n",
	+ " <td>horizontal</td>\n",
	+ " <td>32.0</td>\n",
	+ " <td>51.200000</td>\n",
	+ " <td>0.621352</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>34</th>\n",
	+ " <td>4817464</td>\n",
	+ " <td>31</td>\n",
	+ " <td>vertical</td>\n",
	+ " <td>20.0</td>\n",
	+ " <td>32.000000</td>\n",
	+ " <td>0.406236</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>...</th>\n",
	+ " <td>...</td>\n",
	+ " <td>...</td>\n",
	+ " <td>...</td>\n",
	+ " <td>...</td>\n",
	+ " <td>...</td>\n",
	+ " <td>...</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>189247</th>\n",
	+ " <td>5124495</td>\n",
	+ " <td>21</td>\n",
	+ " <td>horizontal</td>\n",
	+ " <td>10.0</td>\n",
	+ " <td>16.000000</td>\n",
	+ " <td>0.582028</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>189248</th>\n",
	+ " <td>5124496</td>\n",
	+ " <td>11</td>\n",
	+ " <td>horizontal</td>\n",
	+ " <td>12.0</td>\n",
	+ " <td>19.200000</td>\n",
	+ " <td>0.569172</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>189249</th>\n",
	+ " <td>5124497</td>\n",
	+ " <td>30</td>\n",
	+ " <td>horizontal</td>\n",
	+ " <td>59.0</td>\n",
	+ " <td>94.400000</td>\n",
	+ " <td>0.677122</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>189250</th>\n",
	+ " <td>5124498</td>\n",
	+ " <td>30</td>\n",
	+ " <td>horizontal</td>\n",
	+ " <td>55.0</td>\n",
	+ " <td>88.000000</td>\n",
	+ " <td>0.639859</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>189251</th>\n",
	+ " <td>5124499</td>\n",
	+ " <td>7</td>\n",
	+ " <td>equal</td>\n",
	+ " <td>38.0</td>\n",
	+ " <td>60.800000</td>\n",
	+ " <td>0.656369</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>189252</th>\n",
	+ " <td>5124500</td>\n",
	+ " <td>7</td>\n",
	+ " <td>vertical</td>\n",
	+ " <td>18.0</td>\n",
	+ " <td>28.800000</td>\n",
	+ " <td>0.653339</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>189254</th>\n",
	+ " <td>5124502</td>\n",
	+ " <td>11</td>\n",
	+ " <td>horizontal</td>\n",
	+ " <td>4.0</td>\n",
	+ " <td>6.400000</td>\n",
	+ " <td>0.453267</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>189255</th>\n",
	+ " <td>5124503</td>\n",
	+ " <td>21</td>\n",
	+ " <td>equal</td>\n",
	+ " <td>12.0</td>\n",
	+ " <td>19.200000</td>\n",
	+ " <td>0.522396</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>189257</th>\n",
	+ " <td>5124505</td>\n",
	+ " <td>19</td>\n",
	+ " <td>equal</td>\n",
	+ " <td>12.0</td>\n",
	+ " <td>19.200000</td>\n",
	+ " <td>0.530687</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>189258</th>\n",
	+ " <td>5124506</td>\n",
	+ " <td>17</td>\n",
	+ " <td>vertical</td>\n",
	+ " <td>25.0</td>\n",
	+ " <td>40.000000</td>\n",
	+ " <td>0.694324</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>189259</th>\n",
	+ " <td>5124507</td>\n",
	+ " <td>22</td>\n",
	+ " <td>vertical</td>\n",
	+ " <td>28.0</td>\n",
	+ " <td>44.800000</td>\n",
	+ " <td>0.773988</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>189260</th>\n",
	+ " <td>5124508</td>\n",
	+ " <td>22</td>\n",
	+ " <td>horizontal</td>\n",
	+ " <td>8.0</td>\n",
	+ " <td>12.800000</td>\n",
	+ " <td>0.356559</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>189261</th>\n",
	+ " <td>5124509</td>\n",
	+ " <td>20</td>\n",
	+ " <td>horizontal</td>\n",
	+ " <td>41.0</td>\n",
	+ " <td>65.600000</td>\n",
	+ " <td>0.744948</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>189262</th>\n",
	+ " <td>5124510</td>\n",
	+ " <td>15</td>\n",
	+ " <td>horizontal</td>\n",
	+ " <td>126.0</td>\n",
	+ " <td>201.600000</td>\n",
	+ " <td>0.861033</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>189263</th>\n",
	+ " <td>5124511</td>\n",
	+ " <td>16</td>\n",
	+ " <td>horizontal</td>\n",
	+ " <td>126.0</td>\n",
	+ " <td>201.600000</td>\n",
	+ " <td>0.867294</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>189264</th>\n",
	+ " <td>5124512</td>\n",
	+ " <td>29</td>\n",
	+ " <td>vertical</td>\n",
	+ " <td>61.0</td>\n",
	+ " <td>97.600000</td>\n",
	+ " <td>0.739811</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>189265</th>\n",
	+ " <td>5124513</td>\n",
	+ " <td>28</td>\n",
	+ " <td>vertical</td>\n",
	+ " <td>66.0</td>\n",
	+ " <td>105.600000</td>\n",
	+ " <td>0.768899</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>189266</th>\n",
	+ " <td>5124514</td>\n",
	+ " <td>23</td>\n",
	+ " <td>vertical</td>\n",
	+ " <td>5.0</td>\n",
	+ " <td>8.000000</td>\n",
	+ " <td>0.380799</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>189267</th>\n",
	+ " <td>5124515</td>\n",
	+ " <td>19</td>\n",
	+ " <td>equal</td>\n",
	+ " <td>6.0</td>\n",
	+ " <td>9.600000</td>\n",
	+ " <td>0.445654</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>189268</th>\n",
	+ " <td>5124516</td>\n",
	+ " <td>17</td>\n",
	+ " <td>vertical</td>\n",
	+ " <td>14.0</td>\n",
	+ " <td>22.400000</td>\n",
	+ " <td>0.671820</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>189269</th>\n",
	+ " <td>5124517</td>\n",
	+ " <td>13</td>\n",
	+ " <td>horizontal</td>\n",
	+ " <td>16.0</td>\n",
	+ " <td>25.600000</td>\n",
	+ " <td>0.590432</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>189270</th>\n",
	+ " <td>5124518</td>\n",
	+ " <td>30</td>\n",
	+ " <td>vertical</td>\n",
	+ " <td>3.0</td>\n",
	+ " <td>4.156922</td>\n",
	+ " <td>0.119561</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>189271</th>\n",
	+ " <td>5124519</td>\n",
	+ " <td>7</td>\n",
	+ " <td>vertical</td>\n",
	+ " <td>12.0</td>\n",
	+ " <td>19.200000</td>\n",
	+ " <td>0.595122</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>189272</th>\n",
	+ " <td>5124520</td>\n",
	+ " <td>25</td>\n",
	+ " <td>vertical</td>\n",
	+ " <td>4.0</td>\n",
	+ " <td>6.400000</td>\n",
	+ " <td>0.449135</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>189273</th>\n",
	+ " <td>5124523</td>\n",
	+ " <td>26</td>\n",
	+ " <td>vertical</td>\n",
	+ " <td>106.0</td>\n",
	+ " <td>169.600000</td>\n",
	+ " <td>0.836042</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>189274</th>\n",
	+ " <td>5124524</td>\n",
	+ " <td>25</td>\n",
	+ " <td>horizontal</td>\n",
	+ " <td>96.0</td>\n",
	+ " <td>153.600000</td>\n",
	+ " <td>0.692926</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>189275</th>\n",
	+ " <td>5124525</td>\n",
	+ " <td>22</td>\n",
	+ " <td>equal</td>\n",
	+ " <td>60.0</td>\n",
	+ " <td>96.000000</td>\n",
	+ " <td>0.759459</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>189276</th>\n",
	+ " <td>5124526</td>\n",
	+ " <td>22</td>\n",
	+ " <td>equal</td>\n",
	+ " <td>60.0</td>\n",
	+ " <td>96.000000</td>\n",
	+ " <td>0.759441</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>189277</th>\n",
	+ " <td>5124527</td>\n",
	+ " <td>32</td>\n",
	+ " <td>equal</td>\n",
	+ " <td>4.0</td>\n",
	+ " <td>6.400000</td>\n",
	+ " <td>0.360795</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>189278</th>\n",
	+ " <td>5124528</td>\n",
	+ " <td>33</td>\n",
	+ " <td>equal</td>\n",
	+ " <td>4.0</td>\n",
	+ " <td>6.400000</td>\n",
	+ " <td>0.362166</td>\n",
	+ " </tr>\n",
	+ " </tbody>\n",
	+ "</table>\n",
	+ "<p>153512 rows × 6 columns</p>\n",
	+ "</div>"
	+ ],
	+ "text/plain": [
	+ " DF_UID panel_tilt best_align panel_count panelled_area \\\n",
	+ "0 4817410 10 vertical 36.0 57.600000 \n",
	+ "1 4817425 37 equal 4.0 6.400000 \n",
	+ "2 4817426 31 horizontal 5.0 8.000000 \n",
	+ "3 4817427 37 horizontal 5.0 8.000000 \n",
	+ "4 4817428 28 vertical 36.0 57.600000 \n",
	+ "5 4817429 27 equal 1.0 1.600000 \n",
	+ "7 4817431 31 vertical 88.0 140.800000 \n",
	+ "8 4817432 31 vertical 88.0 140.800000 \n",
	+ "9 4817433 26 horizontal 12.0 19.200000 \n",
	+ "10 4817434 31 horizontal 8.0 12.800000 \n",
	+ "11 4817435 31 horizontal 8.0 12.800000 \n",
	+ "12 4817436 33 equal 2.0 3.200000 \n",
	+ "13 4817437 32 vertical 2.0 3.200000 \n",
	+ "14 4817438 26 vertical 54.0 86.400000 \n",
	+ "15 4817439 26 vertical 54.0 86.400000 \n",
	+ "16 4817440 37 horizontal 20.0 32.000000 \n",
	+ "17 4817441 32 horizontal 10.0 16.000000 \n",
	+ "18 4817442 38 vertical 20.0 32.000000 \n",
	+ "23 4817448 28 horizontal 10.0 16.000000 \n",
	+ "24 4817449 7 vertical 8.0 12.800000 \n",
	+ "25 4817450 18 horizontal 6.0 9.600000 \n",
	+ "26 4817451 19 horizontal 6.0 9.600000 \n",
	+ "27 4817452 35 horizontal 30.0 48.000000 \n",
	+ "28 4817453 34 horizontal 22.0 35.200000 \n",
	+ "29 4817458 34 vertical 135.0 216.000000 \n",
	+ "30 4817459 30 vertical 125.0 200.000000 \n",
	+ "31 4817460 24 vertical 10.0 16.000000 \n",
	+ "32 4817461 22 horizontal 17.0 27.200000 \n",
	+ "33 4817463 33 horizontal 32.0 51.200000 \n",
	+ "34 4817464 31 vertical 20.0 32.000000 \n",
	+ "... ... ... ... ... ... \n",
	+ "189247 5124495 21 horizontal 10.0 16.000000 \n",
	+ "189248 5124496 11 horizontal 12.0 19.200000 \n",
	+ "189249 5124497 30 horizontal 59.0 94.400000 \n",
	+ "189250 5124498 30 horizontal 55.0 88.000000 \n",
	+ "189251 5124499 7 equal 38.0 60.800000 \n",
	+ "189252 5124500 7 vertical 18.0 28.800000 \n",
	+ "189254 5124502 11 horizontal 4.0 6.400000 \n",
	+ "189255 5124503 21 equal 12.0 19.200000 \n",
	+ "189257 5124505 19 equal 12.0 19.200000 \n",
	+ "189258 5124506 17 vertical 25.0 40.000000 \n",
	+ "189259 5124507 22 vertical 28.0 44.800000 \n",
	+ "189260 5124508 22 horizontal 8.0 12.800000 \n",
	+ "189261 5124509 20 horizontal 41.0 65.600000 \n",
	+ "189262 5124510 15 horizontal 126.0 201.600000 \n",
	+ "189263 5124511 16 horizontal 126.0 201.600000 \n",
	+ "189264 5124512 29 vertical 61.0 97.600000 \n",
	+ "189265 5124513 28 vertical 66.0 105.600000 \n",
	+ "189266 5124514 23 vertical 5.0 8.000000 \n",
	+ "189267 5124515 19 equal 6.0 9.600000 \n",
	+ "189268 5124516 17 vertical 14.0 22.400000 \n",
	+ "189269 5124517 13 horizontal 16.0 25.600000 \n",
	+ "189270 5124518 30 vertical 3.0 4.156922 \n",
	+ "189271 5124519 7 vertical 12.0 19.200000 \n",
	+ "189272 5124520 25 vertical 4.0 6.400000 \n",
	+ "189273 5124523 26 vertical 106.0 169.600000 \n",
	+ "189274 5124524 25 horizontal 96.0 153.600000 \n",
	+ "189275 5124525 22 equal 60.0 96.000000 \n",
	+ "189276 5124526 22 equal 60.0 96.000000 \n",
	+ "189277 5124527 32 equal 4.0 6.400000 \n",
	+ "189278 5124528 33 equal 4.0 6.400000 \n",
	+ "\n",
	+ " panelled_area_ratio \n",
	+ "0 0.805740 \n",
	+ "1 0.173631 \n",
	+ "2 0.155843 \n",
	+ "3 0.217029 \n",
	+ "4 0.708866 \n",
	+ "5 0.140385 \n",
	+ "7 0.806868 \n",
	+ "8 0.808692 \n",
	+ "9 0.277391 \n",
	+ "10 0.479105 \n",
	+ "11 0.491953 \n",
	+ "12 0.240439 \n",
	+ "13 0.236983 \n",
	+ "14 0.664420 \n",
	+ "15 0.683138 \n",
	+ "16 0.673116 \n",
	+ "17 0.450739 \n",
	+ "18 0.641952 \n",
	+ "23 0.457623 \n",
	+ "24 0.640659 \n",
	+ "25 0.454549 \n",
	+ "26 0.449135 \n",
	+ "27 0.697125 \n",
	+ "28 0.673084 \n",
	+ "29 0.834434 \n",
	+ "30 0.767733 \n",
	+ "31 0.478251 \n",
	+ "32 0.593609 \n",
	+ "33 0.621352 \n",
	+ "34 0.406236 \n",
	+ "... ... \n",
	+ "189247 0.582028 \n",
	+ "189248 0.569172 \n",
	+ "189249 0.677122 \n",
	+ "189250 0.639859 \n",
	+ "189251 0.656369 \n",
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	+ "189254 0.453267 \n",
	+ "189255 0.522396 \n",
	+ "189257 0.530687 \n",
	+ "189258 0.694324 \n",
	+ "189259 0.773988 \n",
	+ "189260 0.356559 \n",
	+ "189261 0.744948 \n",
	+ "189262 0.861033 \n",
	+ "189263 0.867294 \n",
	+ "189264 0.739811 \n",
	+ "189265 0.768899 \n",
	+ "189266 0.380799 \n",
	+ "189267 0.445654 \n",
	+ "189268 0.671820 \n",
	+ "189269 0.590432 \n",
	+ "189270 0.119561 \n",
	+ "189271 0.595122 \n",
	+ "189272 0.449135 \n",
	+ "189273 0.836042 \n",
	+ "189274 0.692926 \n",
	+ "189275 0.759459 \n",
	+ "189276 0.759441 \n",
	+ "189277 0.360795 \n",
	+ "189278 0.362166 \n",
	+ "\n",
	+ "[153512 rows x 6 columns]"
	+ ]
	+ },
	+ "execution_count": 7,
	+ "metadata": {},
	+ "output_type": "execute_result"
	+ }
	+ ],
	+ "source": [
	+ "GVA_new[GVA_new.DF_UID.isin(TRN_all.DF_UID)]"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 8,
	+ "metadata": {},
	+ "outputs": [],
	+ "source": [
	+ "not_found = TRN_all.loc[np.logical_not(TRN_all.DF_UID.isin(GVA_new.DF_UID))]"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 9,
	+ "metadata": {},
	+ "outputs": [
	+ {
	+ "data": {
	+ "text/plain": [
	+ "0.0"
	+ ]
	+ },
	+ "execution_count": 9,
	+ "metadata": {},
	+ "output_type": "execute_result"
	+ }
	+ ],
	+ "source": [
	+ "not_found.panelled_area_ratio_tgt.max()"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 27,
	+ "metadata": {},
	+ "outputs": [],
	+ "source": [
	+ "TRN_new = TRN_all.merge(GVA_new.loc[:,['DF_UID', 'panelled_area_ratio']], how = 'left', on = 'DF_UID')"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 30,
	+ "metadata": {},
	+ "outputs": [],
	+ "source": [
	+ "TRN_new.fillna(0, inplace = True)"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 32,
	+ "metadata": {},
	+ "outputs": [
	+ {
	+ "data": {
	+ "text/plain": [
	+ "154824"
	+ ]
	+ },
	+ "execution_count": 32,
	+ "metadata": {},
	+ "output_type": "execute_result"
	+ }
	+ ],
	+ "source": [
	+ "len(TRN_new.dropna())"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 34,
	+ "metadata": {},
	+ "outputs": [
	+ {
	+ "data": {
	+ "text/plain": [
	+ "Index(['DF_UID', 'FLAECHE', 'NEIGUNG', 'AUSRICHTUNG', 'XCOORD', 'YCOORD',\n",
	+ " 'Shape_Length', 'Shape_Area', 'GWR_EGID', 'GBAUP', 'GKAT', 'GAREA',\n",
	+ " 'GASTW', 'GKODX', 'GKODY', 'Shape_Ratio', 'n_neighbors_100',\n",
	+ " 'Estim_build_area', 'n_corners', 'panel_tilt', 'best_align',\n",
	+ " 'panelled_area_ratio_ftr', 'panelled_area_ratio_tgt',\n",
	+ " 'shaded_area_ratio_ftr', 'shaded_area_ratio_tgt', 'tilt_cat',\n",
	+ " 'orientation_cat', 'available_area_ratio', 'panelled_area_ratio'],\n",
	+ " dtype='object')"
	+ ]
	+ },
	+ "execution_count": 34,
	+ "metadata": {},
	+ "output_type": "execute_result"
	+ }
	+ ],
	+ "source": [
	+ "TRN_new.columns"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 35,
	+ "metadata": {},
	+ "outputs": [],
	+ "source": [
	+ "TRN_new.drop('panelled_area_ratio_tgt', axis = 1, inplace = True)\n",
	+ "TRN_new.rename({ 'panelled_area_ratio' : 'panelled_area_ratio_tgt'}, axis = 1, inplace = True)"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 36,
	+ "metadata": {},
	+ "outputs": [
	+ {
	+ "data": {
	+ "text/plain": [
	+ "Index(['DF_UID', 'FLAECHE', 'NEIGUNG', 'AUSRICHTUNG', 'XCOORD', 'YCOORD',\n",
	+ " 'Shape_Length', 'Shape_Area', 'GWR_EGID', 'GBAUP', 'GKAT', 'GAREA',\n",
	+ " 'GASTW', 'GKODX', 'GKODY', 'Shape_Ratio', 'n_neighbors_100',\n",
	+ " 'Estim_build_area', 'n_corners', 'panel_tilt', 'best_align',\n",
	+ " 'panelled_area_ratio_ftr', 'shaded_area_ratio_ftr',\n",
	+ " 'shaded_area_ratio_tgt', 'tilt_cat', 'orientation_cat',\n",
	+ " 'available_area_ratio', 'panelled_area_ratio_tgt'],\n",
	+ " dtype='object')"
	+ ]
	+ },
	+ "execution_count": 36,
	+ "metadata": {},
	+ "output_type": "execute_result"
	+ }
	+ ],
	+ "source": [
	+ "TRN_new.columns"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 39,
	+ "metadata": {},
	+ "outputs": [],
	+ "source": [
	+ "TRN_new['available_area_ratio'] = TRN_new.panelled_area_ratio_tgt * ( 1 - TRN_new.shaded_area_ratio_tgt )"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 40,
	+ "metadata": {},
	+ "outputs": [
	+ {
	+ "data": {
	+ "text/html": [
	+ "<div>\n",
	+ "<style scoped>\n",
	+ " .dataframe tbody tr th:only-of-type {\n",
	+ " vertical-align: middle;\n",
	+ " }\n",
	+ "\n",
	+ " .dataframe tbody tr th {\n",
	+ " vertical-align: top;\n",
	+ " }\n",
	+ "\n",
	+ " .dataframe thead th {\n",
	+ " text-align: right;\n",
	+ " }\n",
	+ "</style>\n",
	+ "<table border=\"1\" class=\"dataframe\">\n",
	+ " <thead>\n",
	+ " <tr style=\"text-align: right;\">\n",
	+ " <th></th>\n",
	+ " <th>DF_UID</th>\n",
	+ " <th>FLAECHE</th>\n",
	+ " <th>NEIGUNG</th>\n",
	+ " <th>AUSRICHTUNG</th>\n",
	+ " <th>XCOORD</th>\n",
	+ " <th>YCOORD</th>\n",
	+ " <th>Shape_Length</th>\n",
	+ " <th>Shape_Area</th>\n",
	+ " <th>GWR_EGID</th>\n",
	+ " <th>GBAUP</th>\n",
	+ " <th>...</th>\n",
	+ " <th>n_corners</th>\n",
	+ " <th>panel_tilt</th>\n",
	+ " <th>best_align</th>\n",
	+ " <th>panelled_area_ratio_ftr</th>\n",
	+ " <th>shaded_area_ratio_ftr</th>\n",
	+ " <th>shaded_area_ratio_tgt</th>\n",
	+ " <th>tilt_cat</th>\n",
	+ " <th>orientation_cat</th>\n",
	+ " <th>available_area_ratio</th>\n",
	+ " <th>panelled_area_ratio_tgt</th>\n",
	+ " </tr>\n",
	+ " </thead>\n",
	+ " <tbody>\n",
	+ " <tr>\n",
	+ " <th>0</th>\n",
	+ " <td>4817410.0</td>\n",
	+ " <td>71.487047</td>\n",
	+ " <td>10.0</td>\n",
	+ " <td>127.0</td>\n",
	+ " <td>503491.325015</td>\n",
	+ " <td>134197.490397</td>\n",
	+ " <td>33.936595</td>\n",
	+ " <td>70.390620</td>\n",
	+ " <td>295070969.0</td>\n",
	+ " <td>8011.0</td>\n",
	+ " <td>...</td>\n",
	+ " <td>4</td>\n",
	+ " <td>10</td>\n",
	+ " <td>vertical</td>\n",
	+ " <td>0.805740</td>\n",
	+ " <td>0.117647</td>\n",
	+ " <td>0.166667</td>\n",
	+ " <td>shallow_tilt</td>\n",
	+ " <td>N</td>\n",
	+ " <td>0.671450</td>\n",
	+ " <td>0.805740</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>1</th>\n",
	+ " <td>4817425.0</td>\n",
	+ " <td>36.859836</td>\n",
	+ " <td>37.0</td>\n",
	+ " <td>33.0</td>\n",
	+ " <td>503503.812619</td>\n",
	+ " <td>134131.833522</td>\n",
	+ " <td>28.208608</td>\n",
	+ " <td>29.339500</td>\n",
	+ " <td>1004090.0</td>\n",
	+ " <td>8012.0</td>\n",
	+ " <td>...</td>\n",
	+ " <td>4</td>\n",
	+ " <td>37</td>\n",
	+ " <td>equal</td>\n",
	+ " <td>0.390669</td>\n",
	+ " <td>0.000000</td>\n",
	+ " <td>0.386555</td>\n",
	+ " <td>medium_tilt</td>\n",
	+ " <td>SW</td>\n",
	+ " <td>0.106513</td>\n",
	+ " <td>0.173631</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>2</th>\n",
	+ " <td>4817426.0</td>\n",
	+ " <td>51.333864</td>\n",
	+ " <td>31.0</td>\n",
	+ " <td>-57.0</td>\n",
	+ " <td>503509.783165</td>\n",
	+ " <td>134135.282805</td>\n",
	+ " <td>40.053428</td>\n",
	+ " <td>44.043504</td>\n",
	+ " <td>1004090.0</td>\n",
	+ " <td>8012.0</td>\n",
	+ " <td>...</td>\n",
	+ " <td>7</td>\n",
	+ " <td>31</td>\n",
	+ " <td>horizontal</td>\n",
	+ " <td>0.155843</td>\n",
	+ " <td>0.000000</td>\n",
	+ " <td>0.119318</td>\n",
	+ " <td>medium_tilt</td>\n",
	+ " <td>SE</td>\n",
	+ " <td>0.137248</td>\n",
	+ " <td>0.155843</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>3</th>\n",
	+ " <td>4817427.0</td>\n",
	+ " <td>36.861447</td>\n",
	+ " <td>37.0</td>\n",
	+ " <td>-147.0</td>\n",
	+ " <td>503510.594159</td>\n",
	+ " <td>134142.188986</td>\n",
	+ " <td>28.210273</td>\n",
	+ " <td>29.341346</td>\n",
	+ " <td>1004090.0</td>\n",
	+ " <td>8012.0</td>\n",
	+ " <td>...</td>\n",
	+ " <td>4</td>\n",
	+ " <td>37</td>\n",
	+ " <td>horizontal</td>\n",
	+ " <td>0.390652</td>\n",
	+ " <td>0.166667</td>\n",
	+ " <td>0.322034</td>\n",
	+ " <td>medium_tilt</td>\n",
	+ " <td>N</td>\n",
	+ " <td>0.147138</td>\n",
	+ " <td>0.217029</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>4</th>\n",
	+ " <td>4817428.0</td>\n",
	+ " <td>81.256555</td>\n",
	+ " <td>28.0</td>\n",
	+ " <td>123.0</td>\n",
	+ " <td>503504.226918</td>\n",
	+ " <td>134138.960671</td>\n",
	+ " <td>37.840077</td>\n",
	+ " <td>71.574129</td>\n",
	+ " <td>1004090.0</td>\n",
	+ " <td>8012.0</td>\n",
	+ " <td>...</td>\n",
	+ " <td>4</td>\n",
	+ " <td>28</td>\n",
	+ " <td>vertical</td>\n",
	+ " <td>0.708866</td>\n",
	+ " <td>0.333333</td>\n",
	+ " <td>0.077193</td>\n",
	+ " <td>medium_tilt</td>\n",
	+ " <td>N</td>\n",
	+ " <td>0.654146</td>\n",
	+ " <td>0.708866</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>5</th>\n",
	+ " <td>4817429.0</td>\n",
	+ " <td>11.397236</td>\n",
	+ " <td>27.0</td>\n",
	+ " <td>-144.0</td>\n",
	+ " <td>503512.070989</td>\n",
	+ " <td>134135.795686</td>\n",
	+ " <td>15.417311</td>\n",
	+ " <td>10.154872</td>\n",
	+ " <td>1004090.0</td>\n",
	+ " <td>8012.0</td>\n",
	+ " <td>...</td>\n",
	+ " <td>3</td>\n",
	+ " <td>27</td>\n",
	+ " <td>equal</td>\n",
	+ " <td>0.140385</td>\n",
	+ " <td>0.000000</td>\n",
	+ " <td>0.075000</td>\n",
	+ " <td>medium_tilt</td>\n",
	+ " <td>N</td>\n",
	+ " <td>0.129856</td>\n",
	+ " <td>0.140385</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>6</th>\n",
	+ " <td>4817431.0</td>\n",
	+ " <td>174.501987</td>\n",
	+ " <td>31.0</td>\n",
	+ " <td>-147.0</td>\n",
	+ " <td>503503.978942</td>\n",
	+ " <td>134181.171146</td>\n",
	+ " <td>59.815925</td>\n",
	+ " <td>149.165008</td>\n",
	+ " <td>1004088.0</td>\n",
	+ " <td>8011.0</td>\n",
	+ " <td>...</td>\n",
	+ " <td>4</td>\n",
	+ " <td>31</td>\n",
	+ " <td>vertical</td>\n",
	+ " <td>0.806868</td>\n",
	+ " <td>0.135135</td>\n",
	+ " <td>0.020101</td>\n",
	+ " <td>medium_tilt</td>\n",
	+ " <td>N</td>\n",
	+ " <td>0.790649</td>\n",
	+ " <td>0.806868</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>7</th>\n",
	+ " <td>4817432.0</td>\n",
	+ " <td>174.108293</td>\n",
	+ " <td>31.0</td>\n",
	+ " <td>33.0</td>\n",
	+ " <td>503500.517066</td>\n",
	+ " <td>134175.889168</td>\n",
	+ " <td>59.775896</td>\n",
	+ " <td>148.702405</td>\n",
	+ " <td>1004088.0</td>\n",
	+ " <td>8011.0</td>\n",
	+ " <td>...</td>\n",
	+ " <td>4</td>\n",
	+ " <td>31</td>\n",
	+ " <td>vertical</td>\n",
	+ " <td>0.808692</td>\n",
	+ " <td>0.131579</td>\n",
	+ " <td>0.161345</td>\n",
	+ " <td>medium_tilt</td>\n",
	+ " <td>SW</td>\n",
	+ " <td>0.678214</td>\n",
	+ " <td>0.808692</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>8</th>\n",
	+ " <td>4817433.0</td>\n",
	+ " <td>69.216255</td>\n",
	+ " <td>26.0</td>\n",
	+ " <td>33.0</td>\n",
	+ " <td>503510.917446</td>\n",
	+ " <td>134191.713704</td>\n",
	+ " <td>45.633223</td>\n",
	+ " <td>61.997846</td>\n",
	+ " <td>295084893.0</td>\n",
	+ " <td>8011.0</td>\n",
	+ " <td>...</td>\n",
	+ " <td>5</td>\n",
	+ " <td>26</td>\n",
	+ " <td>horizontal</td>\n",
	+ " <td>0.508551</td>\n",
	+ " <td>0.000000</td>\n",
	+ " <td>0.060241</td>\n",
	+ " <td>medium_tilt</td>\n",
	+ " <td>SW</td>\n",
	+ " <td>0.260681</td>\n",
	+ " <td>0.277391</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>9</th>\n",
	+ " <td>4817434.0</td>\n",
	+ " <td>26.716480</td>\n",
	+ " <td>31.0</td>\n",
	+ " <td>-147.0</td>\n",
	+ " <td>503517.020358</td>\n",
	+ " <td>134191.118711</td>\n",
	+ " <td>23.687927</td>\n",
	+ " <td>22.959133</td>\n",
	+ " <td>295084893.0</td>\n",
	+ " <td>8011.0</td>\n",
	+ " <td>...</td>\n",
	+ " <td>5</td>\n",
	+ " <td>31</td>\n",
	+ " <td>horizontal</td>\n",
	+ " <td>0.479105</td>\n",
	+ " <td>0.000000</td>\n",
	+ " <td>0.000000</td>\n",
	+ " <td>medium_tilt</td>\n",
	+ " <td>N</td>\n",
	+ " <td>0.479105</td>\n",
	+ " <td>0.479105</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>10</th>\n",
	+ " <td>4817435.0</td>\n",
	+ " <td>26.018729</td>\n",
	+ " <td>31.0</td>\n",
	+ " <td>-147.0</td>\n",
	+ " <td>503507.806109</td>\n",
	+ " <td>134197.114437</td>\n",
	+ " <td>23.199036</td>\n",
	+ " <td>22.360589</td>\n",
	+ " <td>295084893.0</td>\n",
	+ " <td>8011.0</td>\n",
	+ " <td>...</td>\n",
	+ " <td>5</td>\n",
	+ " <td>31</td>\n",
	+ " <td>horizontal</td>\n",
	+ " <td>0.491953</td>\n",
	+ " <td>0.000000</td>\n",
	+ " <td>0.000000</td>\n",
	+ " <td>medium_tilt</td>\n",
	+ " <td>N</td>\n",
	+ " <td>0.491953</td>\n",
	+ " <td>0.491953</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>11</th>\n",
	+ " <td>4817436.0</td>\n",
	+ " <td>13.309012</td>\n",
	+ " <td>33.0</td>\n",
	+ " <td>123.0</td>\n",
	+ " <td>503512.471353</td>\n",
	+ " <td>134196.622116</td>\n",
	+ " <td>15.096068</td>\n",
	+ " <td>11.164928</td>\n",
	+ " <td>295084893.0</td>\n",
	+ " <td>8011.0</td>\n",
	+ " <td>...</td>\n",
	+ " <td>6</td>\n",
	+ " <td>33</td>\n",
	+ " <td>equal</td>\n",
	+ " <td>0.240439</td>\n",
	+ " <td>0.000000</td>\n",
	+ " <td>0.266667</td>\n",
	+ " <td>medium_tilt</td>\n",
	+ " <td>N</td>\n",
	+ " <td>0.176322</td>\n",
	+ " <td>0.240439</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>12</th>\n",
	+ " <td>4817437.0</td>\n",
	+ " <td>13.503089</td>\n",
	+ " <td>32.0</td>\n",
	+ " <td>-57.0</td>\n",
	+ " <td>503514.586126</td>\n",
	+ " <td>134195.245953</td>\n",
	+ " <td>15.198331</td>\n",
	+ " <td>11.396747</td>\n",
	+ " <td>295084893.0</td>\n",
	+ " <td>8011.0</td>\n",
	+ " <td>...</td>\n",
	+ " <td>5</td>\n",
	+ " <td>32</td>\n",
	+ " <td>vertical</td>\n",
	+ " <td>0.236983</td>\n",
	+ " <td>0.000000</td>\n",
	+ " <td>0.000000</td>\n",
	+ " <td>medium_tilt</td>\n",
	+ " <td>SE</td>\n",
	+ " <td>0.236983</td>\n",
	+ " <td>0.236983</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>13</th>\n",
	+ " <td>4817438.0</td>\n",
	+ " <td>130.038144</td>\n",
	+ " <td>26.0</td>\n",
	+ " <td>-144.0</td>\n",
	+ " <td>503951.193324</td>\n",
	+ " <td>134195.306644</td>\n",
	+ " <td>64.584475</td>\n",
	+ " <td>117.365353</td>\n",
	+ " <td>295084994.0</td>\n",
	+ " <td>8014.0</td>\n",
	+ " <td>...</td>\n",
	+ " <td>4</td>\n",
	+ " <td>26</td>\n",
	+ " <td>vertical</td>\n",
	+ " <td>0.664420</td>\n",
	+ " <td>0.900000</td>\n",
	+ " <td>0.785106</td>\n",
	+ " <td>medium_tilt</td>\n",
	+ " <td>N</td>\n",
	+ " <td>0.142780</td>\n",
	+ " <td>0.664420</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>14</th>\n",
	+ " <td>4817439.0</td>\n",
	+ " <td>126.475108</td>\n",
	+ " <td>26.0</td>\n",
	+ " <td>36.0</td>\n",
	+ " <td>503948.788882</td>\n",
	+ " <td>134191.981218</td>\n",
	+ " <td>64.301850</td>\n",
	+ " <td>113.406403</td>\n",
	+ " <td>295084994.0</td>\n",
	+ " <td>8014.0</td>\n",
	+ " <td>...</td>\n",
	+ " <td>4</td>\n",
	+ " <td>26</td>\n",
	+ " <td>vertical</td>\n",
	+ " <td>0.683138</td>\n",
	+ " <td>0.214286</td>\n",
	+ " <td>0.556291</td>\n",
	+ " <td>medium_tilt</td>\n",
	+ " <td>SW</td>\n",
	+ " <td>0.303114</td>\n",
	+ " <td>0.683138</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>15</th>\n",
	+ " <td>4817440.0</td>\n",
	+ " <td>47.540096</td>\n",
	+ " <td>37.0</td>\n",
	+ " <td>-144.0</td>\n",
	+ " <td>503996.949571</td>\n",
	+ " <td>134161.244934</td>\n",
	+ " <td>27.081498</td>\n",
	+ " <td>37.981483</td>\n",
	+ " <td>1004076.0</td>\n",
	+ " <td>8012.0</td>\n",
	+ " <td>...</td>\n",
	+ " <td>5</td>\n",
	+ " <td>37</td>\n",
	+ " <td>horizontal</td>\n",
	+ " <td>0.673116</td>\n",
	+ " <td>0.800000</td>\n",
	+ " <td>0.973510</td>\n",
	+ " <td>medium_tilt</td>\n",
	+ " <td>N</td>\n",
	+ " <td>0.017831</td>\n",
	+ " <td>0.673116</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>16</th>\n",
	+ " <td>4817441.0</td>\n",
	+ " <td>35.497241</td>\n",
	+ " <td>32.0</td>\n",
	+ " <td>36.0</td>\n",
	+ " <td>503994.863047</td>\n",
	+ " <td>134158.375583</td>\n",
	+ " <td>25.402378</td>\n",
	+ " <td>29.945648</td>\n",
	+ " <td>1004076.0</td>\n",
	+ " <td>8012.0</td>\n",
	+ " <td>...</td>\n",
	+ " <td>4</td>\n",
	+ " <td>32</td>\n",
	+ " <td>horizontal</td>\n",
	+ " <td>0.450739</td>\n",
	+ " <td>0.142857</td>\n",
	+ " <td>0.725000</td>\n",
	+ " <td>medium_tilt</td>\n",
	+ " <td>SW</td>\n",
	+ " <td>0.123953</td>\n",
	+ " <td>0.450739</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>17</th>\n",
	+ " <td>4817442.0</td>\n",
	+ " <td>49.847956</td>\n",
	+ " <td>38.0</td>\n",
	+ " <td>36.0</td>\n",
	+ " <td>504003.468131</td>\n",
	+ " <td>134152.306087</td>\n",
	+ " <td>29.835723</td>\n",
	+ " <td>39.429900</td>\n",
	+ " <td>1004076.0</td>\n",
	+ " <td>8012.0</td>\n",
	+ " <td>...</td>\n",
	+ " <td>4</td>\n",
	+ " <td>38</td>\n",
	+ " <td>vertical</td>\n",
	+ " <td>0.641952</td>\n",
	+ " <td>0.900000</td>\n",
	+ " <td>0.961538</td>\n",
	+ " <td>medium_tilt</td>\n",
	+ " <td>SW</td>\n",
	+ " <td>0.024690</td>\n",
	+ " <td>0.641952</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>18</th>\n",
	+ " <td>4817448.0</td>\n",
	+ " <td>34.963254</td>\n",
	+ " <td>28.0</td>\n",
	+ " <td>-145.0</td>\n",
	+ " <td>503922.898105</td>\n",
	+ " <td>134216.939359</td>\n",
	+ " <td>29.062031</td>\n",
	+ " <td>30.741322</td>\n",
	+ " <td>1004089.0</td>\n",
	+ " <td>8012.0</td>\n",
	+ " <td>...</td>\n",
	+ " <td>4</td>\n",
	+ " <td>28</td>\n",
	+ " <td>horizontal</td>\n",
	+ " <td>0.457623</td>\n",
	+ " <td>0.125000</td>\n",
	+ " <td>0.975610</td>\n",
	+ " <td>medium_tilt</td>\n",
	+ " <td>N</td>\n",
	+ " <td>0.011162</td>\n",
	+ " <td>0.457623</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>19</th>\n",
	+ " <td>4817449.0</td>\n",
	+ " <td>19.979434</td>\n",
	+ " <td>7.0</td>\n",
	+ " <td>35.0</td>\n",
	+ " <td>503916.075512</td>\n",
	+ " <td>134213.701005</td>\n",
	+ " <td>17.895750</td>\n",
	+ " <td>19.831984</td>\n",
	+ " <td>1004089.0</td>\n",
	+ " <td>8012.0</td>\n",
	+ " <td>...</td>\n",
	+ " <td>4</td>\n",
	+ " <td>7</td>\n",
	+ " <td>vertical</td>\n",
	+ " <td>0.640659</td>\n",
	+ " <td>0.666667</td>\n",
	+ " <td>0.925000</td>\n",
	+ " <td>shallow_tilt</td>\n",
	+ " <td>SW</td>\n",
	+ " <td>0.048049</td>\n",
	+ " <td>0.640659</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>20</th>\n",
	+ " <td>4817450.0</td>\n",
	+ " <td>21.119847</td>\n",
	+ " <td>18.0</td>\n",
	+ " <td>-144.0</td>\n",
	+ " <td>503936.461763</td>\n",
	+ " <td>134203.761986</td>\n",
	+ " <td>18.414721</td>\n",
	+ " <td>20.066844</td>\n",
	+ " <td>295084994.0</td>\n",
	+ " <td>8014.0</td>\n",
	+ " <td>...</td>\n",
	+ " <td>5</td>\n",
	+ " <td>18</td>\n",
	+ " <td>horizontal</td>\n",
	+ " <td>0.454549</td>\n",
	+ " <td>0.000000</td>\n",
	+ " <td>0.506173</td>\n",
	+ " <td>shallow_tilt</td>\n",
	+ " <td>N</td>\n",
	+ " <td>0.224469</td>\n",
	+ " <td>0.454549</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>21</th>\n",
	+ " <td>4817451.0</td>\n",
	+ " <td>21.374411</td>\n",
	+ " <td>19.0</td>\n",
	+ " <td>36.0</td>\n",
	+ " <td>503934.470464</td>\n",
	+ " <td>134200.829905</td>\n",
	+ " <td>19.727025</td>\n",
	+ " <td>20.261942</td>\n",
	+ " <td>295084994.0</td>\n",
	+ " <td>8014.0</td>\n",
	+ " <td>...</td>\n",
	+ " <td>6</td>\n",
	+ " <td>19</td>\n",
	+ " <td>horizontal</td>\n",
	+ " <td>0.449135</td>\n",
	+ " <td>0.000000</td>\n",
	+ " <td>0.543210</td>\n",
	+ " <td>shallow_tilt</td>\n",
	+ " <td>SW</td>\n",
	+ " <td>0.205161</td>\n",
	+ " <td>0.449135</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>22</th>\n",
	+ " <td>4817452.0</td>\n",
	+ " <td>68.854261</td>\n",
	+ " <td>35.0</td>\n",
	+ " <td>-140.0</td>\n",
	+ " <td>504222.101990</td>\n",
	+ " <td>134017.187739</td>\n",
	+ " <td>31.767443</td>\n",
	+ " <td>56.268749</td>\n",
	+ " <td>1004049.0</td>\n",
	+ " <td>8011.0</td>\n",
	+ " <td>...</td>\n",
	+ " <td>5</td>\n",
	+ " <td>35</td>\n",
	+ " <td>horizontal</td>\n",
	+ " <td>0.697125</td>\n",
	+ " <td>0.142857</td>\n",
	+ " <td>0.053333</td>\n",
	+ " <td>medium_tilt</td>\n",
	+ " <td>N</td>\n",
	+ " <td>0.659945</td>\n",
	+ " <td>0.697125</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>23</th>\n",
	+ " <td>4817453.0</td>\n",
	+ " <td>52.296595</td>\n",
	+ " <td>34.0</td>\n",
	+ " <td>40.0</td>\n",
	+ " <td>504219.058562</td>\n",
	+ " <td>134013.574920</td>\n",
	+ " <td>29.327904</td>\n",
	+ " <td>43.406040</td>\n",
	+ " <td>1004049.0</td>\n",
	+ " <td>8011.0</td>\n",
	+ " <td>...</td>\n",
	+ " <td>5</td>\n",
	+ " <td>34</td>\n",
	+ " <td>horizontal</td>\n",
	+ " <td>0.734273</td>\n",
	+ " <td>0.100000</td>\n",
	+ " <td>0.034682</td>\n",
	+ " <td>medium_tilt</td>\n",
	+ " <td>SW</td>\n",
	+ " <td>0.649740</td>\n",
	+ " <td>0.673084</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>24</th>\n",
	+ " <td>4817458.0</td>\n",
	+ " <td>258.858167</td>\n",
	+ " <td>34.0</td>\n",
	+ " <td>127.0</td>\n",
	+ " <td>504246.524168</td>\n",
	+ " <td>134078.107216</td>\n",
	+ " <td>66.270016</td>\n",
	+ " <td>215.837030</td>\n",
	+ " <td>1004035.0</td>\n",
	+ " <td>8011.0</td>\n",
	+ " <td>...</td>\n",
	+ " <td>4</td>\n",
	+ " <td>34</td>\n",
	+ " <td>vertical</td>\n",
	+ " <td>0.834434</td>\n",
	+ " <td>0.109091</td>\n",
	+ " <td>0.030093</td>\n",
	+ " <td>medium_tilt</td>\n",
	+ " <td>N</td>\n",
	+ " <td>0.809324</td>\n",
	+ " <td>0.834434</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>25</th>\n",
	+ " <td>4817459.0</td>\n",
	+ " <td>260.507359</td>\n",
	+ " <td>30.0</td>\n",
	+ " <td>-49.0</td>\n",
	+ " <td>504253.910958</td>\n",
	+ " <td>134072.701545</td>\n",
	+ " <td>66.856008</td>\n",
	+ " <td>225.390527</td>\n",
	+ " <td>1004035.0</td>\n",
	+ " <td>8011.0</td>\n",
	+ " <td>...</td>\n",
	+ " <td>5</td>\n",
	+ " <td>30</td>\n",
	+ " <td>vertical</td>\n",
	+ " <td>0.767733</td>\n",
	+ " <td>0.035714</td>\n",
	+ " <td>0.008869</td>\n",
	+ " <td>medium_tilt</td>\n",
	+ " <td>SE</td>\n",
	+ " <td>0.760923</td>\n",
	+ " <td>0.767733</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>26</th>\n",
	+ " <td>4817460.0</td>\n",
	+ " <td>33.455253</td>\n",
	+ " <td>24.0</td>\n",
	+ " <td>-142.0</td>\n",
	+ " <td>504252.873380</td>\n",
	+ " <td>134059.252231</td>\n",
	+ " <td>24.705455</td>\n",
	+ " <td>30.633213</td>\n",
	+ " <td>1004035.0</td>\n",
	+ " <td>8011.0</td>\n",
	+ " <td>...</td>\n",
	+ " <td>6</td>\n",
	+ " <td>24</td>\n",
	+ " <td>vertical</td>\n",
	+ " <td>0.478251</td>\n",
	+ " <td>0.000000</td>\n",
	+ " <td>0.008130</td>\n",
	+ " <td>medium_tilt</td>\n",
	+ " <td>N</td>\n",
	+ " <td>0.474363</td>\n",
	+ " <td>0.478251</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>27</th>\n",
	+ " <td>4817461.0</td>\n",
	+ " <td>45.821417</td>\n",
	+ " <td>22.0</td>\n",
	+ " <td>32.0</td>\n",
	+ " <td>504249.859870</td>\n",
	+ " <td>134055.974734</td>\n",
	+ " <td>27.196876</td>\n",
	+ " <td>42.462233</td>\n",
	+ " <td>1004035.0</td>\n",
	+ " <td>8011.0</td>\n",
	+ " <td>...</td>\n",
	+ " <td>4</td>\n",
	+ " <td>22</td>\n",
	+ " <td>horizontal</td>\n",
	+ " <td>0.593609</td>\n",
	+ " <td>0.000000</td>\n",
	+ " <td>0.005952</td>\n",
	+ " <td>medium_tilt</td>\n",
	+ " <td>SW</td>\n",
	+ " <td>0.590075</td>\n",
	+ " <td>0.593609</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>28</th>\n",
	+ " <td>4817463.0</td>\n",
	+ " <td>82.400929</td>\n",
	+ " <td>33.0</td>\n",
	+ " <td>-50.0</td>\n",
	+ " <td>504157.851075</td>\n",
	+ " <td>134078.914455</td>\n",
	+ " <td>32.942705</td>\n",
	+ " <td>69.128758</td>\n",
	+ " <td>1004073.0</td>\n",
	+ " <td>8011.0</td>\n",
	+ " <td>...</td>\n",
	+ " <td>6</td>\n",
	+ " <td>33</td>\n",
	+ " <td>horizontal</td>\n",
	+ " <td>0.621352</td>\n",
	+ " <td>0.000000</td>\n",
	+ " <td>0.003610</td>\n",
	+ " <td>medium_tilt</td>\n",
	+ " <td>SE</td>\n",
	+ " <td>0.619109</td>\n",
	+ " <td>0.621352</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>29</th>\n",
	+ " <td>4817464.0</td>\n",
	+ " <td>78.771912</td>\n",
	+ " <td>31.0</td>\n",
	+ " <td>130.0</td>\n",
	+ " <td>504150.396646</td>\n",
	+ " <td>134085.492644</td>\n",
	+ " <td>32.609685</td>\n",
	+ " <td>67.373176</td>\n",
	+ " <td>1004073.0</td>\n",
	+ " <td>8011.0</td>\n",
	+ " <td>...</td>\n",
	+ " <td>5</td>\n",
	+ " <td>31</td>\n",
	+ " <td>vertical</td>\n",
	+ " <td>0.710913</td>\n",
	+ " <td>0.000000</td>\n",
	+ " <td>0.092937</td>\n",
	+ " <td>medium_tilt</td>\n",
	+ " <td>N</td>\n",
	+ " <td>0.368482</td>\n",
	+ " <td>0.406236</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>...</th>\n",
	+ " <td>...</td>\n",
	+ " <td>...</td>\n",
	+ " <td>...</td>\n",
	+ " <td>...</td>\n",
	+ " <td>...</td>\n",
	+ " <td>...</td>\n",
	+ " <td>...</td>\n",
	+ " <td>...</td>\n",
	+ " <td>...</td>\n",
	+ " <td>...</td>\n",
	+ " <td>...</td>\n",
	+ " <td>...</td>\n",
	+ " <td>...</td>\n",
	+ " <td>...</td>\n",
	+ " <td>...</td>\n",
	+ " <td>...</td>\n",
	+ " <td>...</td>\n",
	+ " <td>...</td>\n",
	+ " <td>...</td>\n",
	+ " <td>...</td>\n",
	+ " <td>...</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>154794</th>\n",
	+ " <td>5124495.0</td>\n",
	+ " <td>27.490066</td>\n",
	+ " <td>21.0</td>\n",
	+ " <td>116.0</td>\n",
	+ " <td>512507.153297</td>\n",
	+ " <td>121868.767886</td>\n",
	+ " <td>24.997104</td>\n",
	+ " <td>25.656416</td>\n",
	+ " <td>295081617.0</td>\n",
	+ " <td>8017.0</td>\n",
	+ " <td>...</td>\n",
	+ " <td>5</td>\n",
	+ " <td>21</td>\n",
	+ " <td>horizontal</td>\n",
	+ " <td>0.582028</td>\n",
	+ " <td>0.000000</td>\n",
	+ " <td>0.009434</td>\n",
	+ " <td>medium_tilt</td>\n",
	+ " <td>N</td>\n",
	+ " <td>0.576538</td>\n",
	+ " <td>0.582028</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>154795</th>\n",
	+ " <td>5124496.0</td>\n",
	+ " <td>33.733199</td>\n",
	+ " <td>11.0</td>\n",
	+ " <td>30.0</td>\n",
	+ " <td>512653.714458</td>\n",
	+ " <td>121846.443211</td>\n",
	+ " <td>27.509294</td>\n",
	+ " <td>33.153466</td>\n",
	+ " <td>1018650.0</td>\n",
	+ " <td>8015.0</td>\n",
	+ " <td>...</td>\n",
	+ " <td>4</td>\n",
	+ " <td>11</td>\n",
	+ " <td>horizontal</td>\n",
	+ " <td>0.569172</td>\n",
	+ " <td>0.000000</td>\n",
	+ " <td>0.015152</td>\n",
	+ " <td>shallow_tilt</td>\n",
	+ " <td>SW</td>\n",
	+ " <td>0.560548</td>\n",
	+ " <td>0.569172</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>154796</th>\n",
	+ " <td>5124497.0</td>\n",
	+ " <td>139.413591</td>\n",
	+ " <td>30.0</td>\n",
	+ " <td>-60.0</td>\n",
	+ " <td>512727.853591</td>\n",
	+ " <td>121799.313992</td>\n",
	+ " <td>54.005430</td>\n",
	+ " <td>120.493402</td>\n",
	+ " <td>1018653.0</td>\n",
	+ " <td>8012.0</td>\n",
	+ " <td>...</td>\n",
	+ " <td>9</td>\n",
	+ " <td>30</td>\n",
	+ " <td>horizontal</td>\n",
	+ " <td>0.677122</td>\n",
	+ " <td>0.000000</td>\n",
	+ " <td>0.004149</td>\n",
	+ " <td>medium_tilt</td>\n",
	+ " <td>SE</td>\n",
	+ " <td>0.674312</td>\n",
	+ " <td>0.677122</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>154797</th>\n",
	+ " <td>5124498.0</td>\n",
	+ " <td>137.530298</td>\n",
	+ " <td>30.0</td>\n",
	+ " <td>120.0</td>\n",
	+ " <td>512722.012941</td>\n",
	+ " <td>121802.781737</td>\n",
	+ " <td>53.905711</td>\n",
	+ " <td>119.641777</td>\n",
	+ " <td>1018653.0</td>\n",
	+ " <td>8012.0</td>\n",
	+ " <td>...</td>\n",
	+ " <td>9</td>\n",
	+ " <td>30</td>\n",
	+ " <td>horizontal</td>\n",
	+ " <td>0.639859</td>\n",
	+ " <td>0.064516</td>\n",
	+ " <td>0.041841</td>\n",
	+ " <td>medium_tilt</td>\n",
	+ " <td>N</td>\n",
	+ " <td>0.613087</td>\n",
	+ " <td>0.639859</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>154798</th>\n",
	+ " <td>5124499.0</td>\n",
	+ " <td>92.630815</td>\n",
	+ " <td>7.0</td>\n",
	+ " <td>-150.0</td>\n",
	+ " <td>512731.300787</td>\n",
	+ " <td>121811.881398</td>\n",
	+ " <td>47.143675</td>\n",
	+ " <td>91.927158</td>\n",
	+ " <td>1018653.0</td>\n",
	+ " <td>8012.0</td>\n",
	+ " <td>...</td>\n",
	+ " <td>8</td>\n",
	+ " <td>7</td>\n",
	+ " <td>equal</td>\n",
	+ " <td>0.656369</td>\n",
	+ " <td>0.045455</td>\n",
	+ " <td>0.147541</td>\n",
	+ " <td>shallow_tilt</td>\n",
	+ " <td>N</td>\n",
	+ " <td>0.559528</td>\n",
	+ " <td>0.656369</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>154799</th>\n",
	+ " <td>5124500.0</td>\n",
	+ " <td>44.081253</td>\n",
	+ " <td>7.0</td>\n",
	+ " <td>-148.0</td>\n",
	+ " <td>512734.614676</td>\n",
	+ " <td>121817.612632</td>\n",
	+ " <td>28.618486</td>\n",
	+ " <td>43.718502</td>\n",
	+ " <td>1018653.0</td>\n",
	+ " <td>8012.0</td>\n",
	+ " <td>...</td>\n",
	+ " <td>4</td>\n",
	+ " <td>7</td>\n",
	+ " <td>vertical</td>\n",
	+ " <td>0.653339</td>\n",
	+ " <td>0.000000</td>\n",
	+ " <td>0.022857</td>\n",
	+ " <td>shallow_tilt</td>\n",
	+ " <td>N</td>\n",
	+ " <td>0.638405</td>\n",
	+ " <td>0.653339</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>154800</th>\n",
	+ " <td>5124502.0</td>\n",
	+ " <td>14.119724</td>\n",
	+ " <td>11.0</td>\n",
	+ " <td>-147.0</td>\n",
	+ " <td>512729.165421</td>\n",
	+ " <td>121822.382400</td>\n",
	+ " <td>16.789635</td>\n",
	+ " <td>13.863595</td>\n",
	+ " <td>1018653.0</td>\n",
	+ " <td>8012.0</td>\n",
	+ " <td>...</td>\n",
	+ " <td>6</td>\n",
	+ " <td>11</td>\n",
	+ " <td>horizontal</td>\n",
	+ " <td>0.453267</td>\n",
	+ " <td>0.000000</td>\n",
	+ " <td>0.071429</td>\n",
	+ " <td>shallow_tilt</td>\n",
	+ " <td>N</td>\n",
	+ " <td>0.420890</td>\n",
	+ " <td>0.453267</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>154801</th>\n",
	+ " <td>5124503.0</td>\n",
	+ " <td>36.753693</td>\n",
	+ " <td>21.0</td>\n",
	+ " <td>122.0</td>\n",
	+ " <td>512683.971180</td>\n",
	+ " <td>121769.079140</td>\n",
	+ " <td>23.556753</td>\n",
	+ " <td>34.231614</td>\n",
	+ " <td>2040405.0</td>\n",
	+ " <td>8012.0</td>\n",
	+ " <td>...</td>\n",
	+ " <td>5</td>\n",
	+ " <td>21</td>\n",
	+ " <td>equal</td>\n",
	+ " <td>0.522396</td>\n",
	+ " <td>0.000000</td>\n",
	+ " <td>0.000000</td>\n",
	+ " <td>medium_tilt</td>\n",
	+ " <td>N</td>\n",
	+ " <td>0.522396</td>\n",
	+ " <td>0.522396</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>154802</th>\n",
	+ " <td>5124505.0</td>\n",
	+ " <td>36.179539</td>\n",
	+ " <td>19.0</td>\n",
	+ " <td>-58.0</td>\n",
	+ " <td>512689.565868</td>\n",
	+ " <td>121765.612262</td>\n",
	+ " <td>23.566963</td>\n",
	+ " <td>34.201265</td>\n",
	+ " <td>2040405.0</td>\n",
	+ " <td>8012.0</td>\n",
	+ " <td>...</td>\n",
	+ " <td>4</td>\n",
	+ " <td>19</td>\n",
	+ " <td>equal</td>\n",
	+ " <td>0.530687</td>\n",
	+ " <td>0.000000</td>\n",
	+ " <td>0.000000</td>\n",
	+ " <td>shallow_tilt</td>\n",
	+ " <td>SE</td>\n",
	+ " <td>0.530687</td>\n",
	+ " <td>0.530687</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>154803</th>\n",
	+ " <td>5124506.0</td>\n",
	+ " <td>57.609988</td>\n",
	+ " <td>17.0</td>\n",
	+ " <td>-57.0</td>\n",
	+ " <td>512685.874412</td>\n",
	+ " <td>121760.247993</td>\n",
	+ " <td>37.797327</td>\n",
	+ " <td>55.148314</td>\n",
	+ " <td>2040405.0</td>\n",
	+ " <td>8012.0</td>\n",
	+ " <td>...</td>\n",
	+ " <td>8</td>\n",
	+ " <td>17</td>\n",
	+ " <td>vertical</td>\n",
	+ " <td>0.694324</td>\n",
	+ " <td>0.000000</td>\n",
	+ " <td>0.105023</td>\n",
	+ " <td>shallow_tilt</td>\n",
	+ " <td>SE</td>\n",
	+ " <td>0.621404</td>\n",
	+ " <td>0.694324</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>154804</th>\n",
	+ " <td>5124507.0</td>\n",
	+ " <td>57.882063</td>\n",
	+ " <td>22.0</td>\n",
	+ " <td>122.0</td>\n",
	+ " <td>512679.975021</td>\n",
	+ " <td>121763.783138</td>\n",
	+ " <td>29.386703</td>\n",
	+ " <td>53.499302</td>\n",
	+ " <td>2040405.0</td>\n",
	+ " <td>8012.0</td>\n",
	+ " <td>...</td>\n",
	+ " <td>5</td>\n",
	+ " <td>22</td>\n",
	+ " <td>vertical</td>\n",
	+ " <td>0.773988</td>\n",
	+ " <td>0.076923</td>\n",
	+ " <td>0.186916</td>\n",
	+ " <td>medium_tilt</td>\n",
	+ " <td>N</td>\n",
	+ " <td>0.629317</td>\n",
	+ " <td>0.773988</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>154805</th>\n",
	+ " <td>5124508.0</td>\n",
	+ " <td>35.898733</td>\n",
	+ " <td>22.0</td>\n",
	+ " <td>-153.0</td>\n",
	+ " <td>512676.571716</td>\n",
	+ " <td>121745.126015</td>\n",
	+ " <td>30.833490</td>\n",
	+ " <td>33.393443</td>\n",
	+ " <td>2040405.0</td>\n",
	+ " <td>8012.0</td>\n",
	+ " <td>...</td>\n",
	+ " <td>7</td>\n",
	+ " <td>22</td>\n",
	+ " <td>horizontal</td>\n",
	+ " <td>0.356559</td>\n",
	+ " <td>0.000000</td>\n",
	+ " <td>0.014493</td>\n",
	+ " <td>medium_tilt</td>\n",
	+ " <td>N</td>\n",
	+ " <td>0.351391</td>\n",
	+ " <td>0.356559</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>154806</th>\n",
	+ " <td>5124509.0</td>\n",
	+ " <td>88.059840</td>\n",
	+ " <td>20.0</td>\n",
	+ " <td>27.0</td>\n",
	+ " <td>512674.020870</td>\n",
	+ " <td>121740.921893</td>\n",
	+ " <td>39.260540</td>\n",
	+ " <td>82.722458</td>\n",
	+ " <td>2040405.0</td>\n",
	+ " <td>8012.0</td>\n",
	+ " <td>...</td>\n",
	+ " <td>8</td>\n",
	+ " <td>20</td>\n",
	+ " <td>horizontal</td>\n",
	+ " <td>0.744948</td>\n",
	+ " <td>0.052632</td>\n",
	+ " <td>0.015291</td>\n",
	+ " <td>medium_tilt</td>\n",
	+ " <td>SW</td>\n",
	+ " <td>0.733557</td>\n",
	+ " <td>0.744948</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>154807</th>\n",
	+ " <td>5124510.0</td>\n",
	+ " <td>234.137426</td>\n",
	+ " <td>15.0</td>\n",
	+ " <td>-139.0</td>\n",
	+ " <td>512576.260995</td>\n",
	+ " <td>121776.663075</td>\n",
	+ " <td>66.560300</td>\n",
	+ " <td>226.093454</td>\n",
	+ " <td>1018659.0</td>\n",
	+ " <td>8011.0</td>\n",
	+ " <td>...</td>\n",
	+ " <td>4</td>\n",
	+ " <td>15</td>\n",
	+ " <td>horizontal</td>\n",
	+ " <td>0.861033</td>\n",
	+ " <td>0.000000</td>\n",
	+ " <td>0.002212</td>\n",
	+ " <td>shallow_tilt</td>\n",
	+ " <td>N</td>\n",
	+ " <td>0.859128</td>\n",
	+ " <td>0.861033</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>154808</th>\n",
	+ " <td>5124511.0</td>\n",
	+ " <td>232.447102</td>\n",
	+ " <td>16.0</td>\n",
	+ " <td>41.0</td>\n",
	+ " <td>512570.079754</td>\n",
	+ " <td>121769.520367</td>\n",
	+ " <td>66.292584</td>\n",
	+ " <td>222.913017</td>\n",
	+ " <td>1018659.0</td>\n",
	+ " <td>8011.0</td>\n",
	+ " <td>...</td>\n",
	+ " <td>4</td>\n",
	+ " <td>16</td>\n",
	+ " <td>horizontal</td>\n",
	+ " <td>0.867294</td>\n",
	+ " <td>0.000000</td>\n",
	+ " <td>0.000000</td>\n",
	+ " <td>shallow_tilt</td>\n",
	+ " <td>SW</td>\n",
	+ " <td>0.867294</td>\n",
	+ " <td>0.867294</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>154809</th>\n",
	+ " <td>5124512.0</td>\n",
	+ " <td>131.925651</td>\n",
	+ " <td>29.0</td>\n",
	+ " <td>121.0</td>\n",
	+ " <td>512861.419320</td>\n",
	+ " <td>121844.774678</td>\n",
	+ " <td>55.702429</td>\n",
	+ " <td>114.847781</td>\n",
	+ " <td>1018654.0</td>\n",
	+ " <td>8011.0</td>\n",
	+ " <td>...</td>\n",
	+ " <td>5</td>\n",
	+ " <td>29</td>\n",
	+ " <td>vertical</td>\n",
	+ " <td>0.800451</td>\n",
	+ " <td>0.033333</td>\n",
	+ " <td>0.087146</td>\n",
	+ " <td>medium_tilt</td>\n",
	+ " <td>N</td>\n",
	+ " <td>0.675339</td>\n",
	+ " <td>0.739811</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>154810</th>\n",
	+ " <td>5124513.0</td>\n",
	+ " <td>137.339196</td>\n",
	+ " <td>28.0</td>\n",
	+ " <td>-59.0</td>\n",
	+ " <td>512865.854189</td>\n",
	+ " <td>121842.120366</td>\n",
	+ " <td>56.243851</td>\n",
	+ " <td>121.027343</td>\n",
	+ " <td>1018654.0</td>\n",
	+ " <td>8011.0</td>\n",
	+ " <td>...</td>\n",
	+ " <td>4</td>\n",
	+ " <td>28</td>\n",
	+ " <td>vertical</td>\n",
	+ " <td>0.768899</td>\n",
	+ " <td>0.000000</td>\n",
	+ " <td>0.004124</td>\n",
	+ " <td>medium_tilt</td>\n",
	+ " <td>SE</td>\n",
	+ " <td>0.765728</td>\n",
	+ " <td>0.768899</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>154811</th>\n",
	+ " <td>5124514.0</td>\n",
	+ " <td>21.008432</td>\n",
	+ " <td>23.0</td>\n",
	+ " <td>-150.0</td>\n",
	+ " <td>512862.686744</td>\n",
	+ " <td>121857.263294</td>\n",
	+ " <td>23.119281</td>\n",
	+ " <td>19.328343</td>\n",
	+ " <td>1018654.0</td>\n",
	+ " <td>8011.0</td>\n",
	+ " <td>...</td>\n",
	+ " <td>6</td>\n",
	+ " <td>23</td>\n",
	+ " <td>vertical</td>\n",
	+ " <td>0.380799</td>\n",
	+ " <td>0.000000</td>\n",
	+ " <td>0.129870</td>\n",
	+ " <td>medium_tilt</td>\n",
	+ " <td>N</td>\n",
	+ " <td>0.331345</td>\n",
	+ " <td>0.380799</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>154812</th>\n",
	+ " <td>5124515.0</td>\n",
	+ " <td>21.541363</td>\n",
	+ " <td>19.0</td>\n",
	+ " <td>30.0</td>\n",
	+ " <td>512860.734800</td>\n",
	+ " <td>121855.152708</td>\n",
	+ " <td>19.585625</td>\n",
	+ " <td>20.336518</td>\n",
	+ " <td>1018654.0</td>\n",
	+ " <td>8011.0</td>\n",
	+ " <td>...</td>\n",
	+ " <td>4</td>\n",
	+ " <td>19</td>\n",
	+ " <td>equal</td>\n",
	+ " <td>0.445654</td>\n",
	+ " <td>0.000000</td>\n",
	+ " <td>0.123457</td>\n",
	+ " <td>shallow_tilt</td>\n",
	+ " <td>SW</td>\n",
	+ " <td>0.390635</td>\n",
	+ " <td>0.445654</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>154813</th>\n",
	+ " <td>5124516.0</td>\n",
	+ " <td>33.342276</td>\n",
	+ " <td>17.0</td>\n",
	+ " <td>-58.0</td>\n",
	+ " <td>512857.342542</td>\n",
	+ " <td>121829.041410</td>\n",
	+ " <td>24.377198</td>\n",
	+ " <td>31.954253</td>\n",
	+ " <td>1018654.0</td>\n",
	+ " <td>8011.0</td>\n",
	+ " <td>...</td>\n",
	+ " <td>4</td>\n",
	+ " <td>17</td>\n",
	+ " <td>vertical</td>\n",
	+ " <td>0.671820</td>\n",
	+ " <td>0.125000</td>\n",
	+ " <td>0.570312</td>\n",
	+ " <td>shallow_tilt</td>\n",
	+ " <td>SE</td>\n",
	+ " <td>0.288673</td>\n",
	+ " <td>0.671820</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>154814</th>\n",
	+ " <td>5124517.0</td>\n",
	+ " <td>43.358052</td>\n",
	+ " <td>13.0</td>\n",
	+ " <td>122.0</td>\n",
	+ " <td>512853.537208</td>\n",
	+ " <td>121831.368979</td>\n",
	+ " <td>26.787103</td>\n",
	+ " <td>42.321731</td>\n",
	+ " <td>1018654.0</td>\n",
	+ " <td>8011.0</td>\n",
	+ " <td>...</td>\n",
	+ " <td>4</td>\n",
	+ " <td>13</td>\n",
	+ " <td>horizontal</td>\n",
	+ " <td>0.590432</td>\n",
	+ " <td>0.000000</td>\n",
	+ " <td>0.470588</td>\n",
	+ " <td>shallow_tilt</td>\n",
	+ " <td>N</td>\n",
	+ " <td>0.312582</td>\n",
	+ " <td>0.590432</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>154815</th>\n",
	+ " <td>5124518.0</td>\n",
	+ " <td>34.768271</td>\n",
	+ " <td>0.0</td>\n",
	+ " <td>0.0</td>\n",
	+ " <td>512851.492252</td>\n",
	+ " <td>121838.457750</td>\n",
	+ " <td>29.085365</td>\n",
	+ " <td>34.768271</td>\n",
	+ " <td>1018654.0</td>\n",
	+ " <td>8011.0</td>\n",
	+ " <td>...</td>\n",
	+ " <td>6</td>\n",
	+ " <td>30</td>\n",
	+ " <td>vertical</td>\n",
	+ " <td>0.119561</td>\n",
	+ " <td>0.111111</td>\n",
	+ " <td>0.231884</td>\n",
	+ " <td>flat</td>\n",
	+ " <td>S</td>\n",
	+ " <td>0.091837</td>\n",
	+ " <td>0.119561</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>154816</th>\n",
	+ " <td>5124519.0</td>\n",
	+ " <td>32.262272</td>\n",
	+ " <td>7.0</td>\n",
	+ " <td>-62.0</td>\n",
	+ " <td>512889.292856</td>\n",
	+ " <td>121962.982921</td>\n",
	+ " <td>22.665441</td>\n",
	+ " <td>32.006156</td>\n",
	+ " <td>1018655.0</td>\n",
	+ " <td>8014.0</td>\n",
	+ " <td>...</td>\n",
	+ " <td>5</td>\n",
	+ " <td>7</td>\n",
	+ " <td>vertical</td>\n",
	+ " <td>0.595122</td>\n",
	+ " <td>0.000000</td>\n",
	+ " <td>0.375000</td>\n",
	+ " <td>shallow_tilt</td>\n",
	+ " <td>SE</td>\n",
	+ " <td>0.371951</td>\n",
	+ " <td>0.595122</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>154817</th>\n",
	+ " <td>5124520.0</td>\n",
	+ " <td>14.249623</td>\n",
	+ " <td>25.0</td>\n",
	+ " <td>118.0</td>\n",
	+ " <td>512885.599017</td>\n",
	+ " <td>121964.977036</td>\n",
	+ " <td>15.514710</td>\n",
	+ " <td>12.886922</td>\n",
	+ " <td>1018655.0</td>\n",
	+ " <td>8014.0</td>\n",
	+ " <td>...</td>\n",
	+ " <td>5</td>\n",
	+ " <td>25</td>\n",
	+ " <td>vertical</td>\n",
	+ " <td>0.449135</td>\n",
	+ " <td>0.500000</td>\n",
	+ " <td>0.250000</td>\n",
	+ " <td>medium_tilt</td>\n",
	+ " <td>N</td>\n",
	+ " <td>0.336851</td>\n",
	+ " <td>0.449135</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>154818</th>\n",
	+ " <td>5124523.0</td>\n",
	+ " <td>202.860586</td>\n",
	+ " <td>26.0</td>\n",
	+ " <td>-65.0</td>\n",
	+ " <td>512907.355343</td>\n",
	+ " <td>121907.640275</td>\n",
	+ " <td>69.264065</td>\n",
	+ " <td>181.708205</td>\n",
	+ " <td>1018655.0</td>\n",
	+ " <td>8014.0</td>\n",
	+ " <td>...</td>\n",
	+ " <td>4</td>\n",
	+ " <td>26</td>\n",
	+ " <td>vertical</td>\n",
	+ " <td>0.836042</td>\n",
	+ " <td>0.022222</td>\n",
	+ " <td>0.042582</td>\n",
	+ " <td>medium_tilt</td>\n",
	+ " <td>SE</td>\n",
	+ " <td>0.800441</td>\n",
	+ " <td>0.836042</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>154819</th>\n",
	+ " <td>5124524.0</td>\n",
	+ " <td>221.668609</td>\n",
	+ " <td>25.0</td>\n",
	+ " <td>115.0</td>\n",
	+ " <td>512901.324171</td>\n",
	+ " <td>121910.827716</td>\n",
	+ " <td>72.136766</td>\n",
	+ " <td>201.586966</td>\n",
	+ " <td>1018655.0</td>\n",
	+ " <td>8014.0</td>\n",
	+ " <td>...</td>\n",
	+ " <td>6</td>\n",
	+ " <td>25</td>\n",
	+ " <td>horizontal</td>\n",
	+ " <td>0.692926</td>\n",
	+ " <td>0.102041</td>\n",
	+ " <td>0.042131</td>\n",
	+ " <td>medium_tilt</td>\n",
	+ " <td>N</td>\n",
	+ " <td>0.663732</td>\n",
	+ " <td>0.692926</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>154820</th>\n",
	+ " <td>5124525.0</td>\n",
	+ " <td>126.405824</td>\n",
	+ " <td>22.0</td>\n",
	+ " <td>118.0</td>\n",
	+ " <td>512801.107921</td>\n",
	+ " <td>121763.322478</td>\n",
	+ " <td>43.276794</td>\n",
	+ " <td>116.796274</td>\n",
	+ " <td>1018651.0</td>\n",
	+ " <td>8013.0</td>\n",
	+ " <td>...</td>\n",
	+ " <td>4</td>\n",
	+ " <td>22</td>\n",
	+ " <td>equal</td>\n",
	+ " <td>0.759459</td>\n",
	+ " <td>0.035714</td>\n",
	+ " <td>0.012876</td>\n",
	+ " <td>medium_tilt</td>\n",
	+ " <td>N</td>\n",
	+ " <td>0.749680</td>\n",
	+ " <td>0.759459</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>154821</th>\n",
	+ " <td>5124526.0</td>\n",
	+ " <td>126.408740</td>\n",
	+ " <td>22.0</td>\n",
	+ " <td>-62.0</td>\n",
	+ " <td>512810.176759</td>\n",
	+ " <td>121758.418405</td>\n",
	+ " <td>43.277184</td>\n",
	+ " <td>116.797944</td>\n",
	+ " <td>1018651.0</td>\n",
	+ " <td>8013.0</td>\n",
	+ " <td>...</td>\n",
	+ " <td>4</td>\n",
	+ " <td>22</td>\n",
	+ " <td>equal</td>\n",
	+ " <td>0.759441</td>\n",
	+ " <td>0.000000</td>\n",
	+ " <td>0.040598</td>\n",
	+ " <td>medium_tilt</td>\n",
	+ " <td>SE</td>\n",
	+ " <td>0.728609</td>\n",
	+ " <td>0.759441</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>154822</th>\n",
	+ " <td>5124527.0</td>\n",
	+ " <td>17.738624</td>\n",
	+ " <td>32.0</td>\n",
	+ " <td>-67.0</td>\n",
	+ " <td>512895.656423</td>\n",
	+ " <td>121945.700714</td>\n",
	+ " <td>16.399780</td>\n",
	+ " <td>14.964642</td>\n",
	+ " <td>1018655.0</td>\n",
	+ " <td>8014.0</td>\n",
	+ " <td>...</td>\n",
	+ " <td>4</td>\n",
	+ " <td>32</td>\n",
	+ " <td>equal</td>\n",
	+ " <td>0.360795</td>\n",
	+ " <td>0.000000</td>\n",
	+ " <td>0.000000</td>\n",
	+ " <td>medium_tilt</td>\n",
	+ " <td>SE</td>\n",
	+ " <td>0.360795</td>\n",
	+ " <td>0.360795</td>\n",
	+ " </tr>\n",
	+ " <tr>\n",
	+ " <th>154823</th>\n",
	+ " <td>5124528.0</td>\n",
	+ " <td>17.671450</td>\n",
	+ " <td>33.0</td>\n",
	+ " <td>113.0</td>\n",
	+ " <td>512893.143353</td>\n",
	+ " <td>121946.778198</td>\n",
	+ " <td>16.370630</td>\n",
	+ " <td>14.885036</td>\n",
	+ " <td>1018655.0</td>\n",
	+ " <td>8014.0</td>\n",
	+ " <td>...</td>\n",
	+ " <td>4</td>\n",
	+ " <td>33</td>\n",
	+ " <td>equal</td>\n",
	+ " <td>0.362166</td>\n",
	+ " <td>0.000000</td>\n",
	+ " <td>0.016393</td>\n",
	+ " <td>medium_tilt</td>\n",
	+ " <td>N</td>\n",
	+ " <td>0.356229</td>\n",
	+ " <td>0.362166</td>\n",
	+ " </tr>\n",
	+ " </tbody>\n",
	+ "</table>\n",
	+ "<p>154824 rows × 28 columns</p>\n",
	+ "</div>"
	+ ],
	+ "text/plain": [
	+ " DF_UID FLAECHE NEIGUNG AUSRICHTUNG XCOORD \\\n",
	+ "0 4817410.0 71.487047 10.0 127.0 503491.325015 \n",
	+ "1 4817425.0 36.859836 37.0 33.0 503503.812619 \n",
	+ "2 4817426.0 51.333864 31.0 -57.0 503509.783165 \n",
	+ "3 4817427.0 36.861447 37.0 -147.0 503510.594159 \n",
	+ "4 4817428.0 81.256555 28.0 123.0 503504.226918 \n",
	+ "5 4817429.0 11.397236 27.0 -144.0 503512.070989 \n",
	+ "6 4817431.0 174.501987 31.0 -147.0 503503.978942 \n",
	+ "7 4817432.0 174.108293 31.0 33.0 503500.517066 \n",
	+ "8 4817433.0 69.216255 26.0 33.0 503510.917446 \n",
	+ "9 4817434.0 26.716480 31.0 -147.0 503517.020358 \n",
	+ "10 4817435.0 26.018729 31.0 -147.0 503507.806109 \n",
	+ "11 4817436.0 13.309012 33.0 123.0 503512.471353 \n",
	+ "12 4817437.0 13.503089 32.0 -57.0 503514.586126 \n",
	+ "13 4817438.0 130.038144 26.0 -144.0 503951.193324 \n",
	+ "14 4817439.0 126.475108 26.0 36.0 503948.788882 \n",
	+ "15 4817440.0 47.540096 37.0 -144.0 503996.949571 \n",
	+ "16 4817441.0 35.497241 32.0 36.0 503994.863047 \n",
	+ "17 4817442.0 49.847956 38.0 36.0 504003.468131 \n",
	+ "18 4817448.0 34.963254 28.0 -145.0 503922.898105 \n",
	+ "19 4817449.0 19.979434 7.0 35.0 503916.075512 \n",
	+ "20 4817450.0 21.119847 18.0 -144.0 503936.461763 \n",
	+ "21 4817451.0 21.374411 19.0 36.0 503934.470464 \n",
	+ "22 4817452.0 68.854261 35.0 -140.0 504222.101990 \n",
	+ "23 4817453.0 52.296595 34.0 40.0 504219.058562 \n",
	+ "24 4817458.0 258.858167 34.0 127.0 504246.524168 \n",
	+ "25 4817459.0 260.507359 30.0 -49.0 504253.910958 \n",
	+ "26 4817460.0 33.455253 24.0 -142.0 504252.873380 \n",
	+ "27 4817461.0 45.821417 22.0 32.0 504249.859870 \n",
	+ "28 4817463.0 82.400929 33.0 -50.0 504157.851075 \n",
	+ "29 4817464.0 78.771912 31.0 130.0 504150.396646 \n",
	+ "... ... ... ... ... ... \n",
	+ "154794 5124495.0 27.490066 21.0 116.0 512507.153297 \n",
	+ "154795 5124496.0 33.733199 11.0 30.0 512653.714458 \n",
	+ "154796 5124497.0 139.413591 30.0 -60.0 512727.853591 \n",
	+ "154797 5124498.0 137.530298 30.0 120.0 512722.012941 \n",
	+ "154798 5124499.0 92.630815 7.0 -150.0 512731.300787 \n",
	+ "154799 5124500.0 44.081253 7.0 -148.0 512734.614676 \n",
	+ "154800 5124502.0 14.119724 11.0 -147.0 512729.165421 \n",
	+ "154801 5124503.0 36.753693 21.0 122.0 512683.971180 \n",
	+ "154802 5124505.0 36.179539 19.0 -58.0 512689.565868 \n",
	+ "154803 5124506.0 57.609988 17.0 -57.0 512685.874412 \n",
	+ "154804 5124507.0 57.882063 22.0 122.0 512679.975021 \n",
	+ "154805 5124508.0 35.898733 22.0 -153.0 512676.571716 \n",
	+ "154806 5124509.0 88.059840 20.0 27.0 512674.020870 \n",
	+ "154807 5124510.0 234.137426 15.0 -139.0 512576.260995 \n",
	+ "154808 5124511.0 232.447102 16.0 41.0 512570.079754 \n",
	+ "154809 5124512.0 131.925651 29.0 121.0 512861.419320 \n",
	+ "154810 5124513.0 137.339196 28.0 -59.0 512865.854189 \n",
	+ "154811 5124514.0 21.008432 23.0 -150.0 512862.686744 \n",
	+ "154812 5124515.0 21.541363 19.0 30.0 512860.734800 \n",
	+ "154813 5124516.0 33.342276 17.0 -58.0 512857.342542 \n",
	+ "154814 5124517.0 43.358052 13.0 122.0 512853.537208 \n",
	+ "154815 5124518.0 34.768271 0.0 0.0 512851.492252 \n",
	+ "154816 5124519.0 32.262272 7.0 -62.0 512889.292856 \n",
	+ "154817 5124520.0 14.249623 25.0 118.0 512885.599017 \n",
	+ "154818 5124523.0 202.860586 26.0 -65.0 512907.355343 \n",
	+ "154819 5124524.0 221.668609 25.0 115.0 512901.324171 \n",
	+ "154820 5124525.0 126.405824 22.0 118.0 512801.107921 \n",
	+ "154821 5124526.0 126.408740 22.0 -62.0 512810.176759 \n",
	+ "154822 5124527.0 17.738624 32.0 -67.0 512895.656423 \n",
	+ "154823 5124528.0 17.671450 33.0 113.0 512893.143353 \n",
	+ "\n",
	+ " YCOORD Shape_Length Shape_Area GWR_EGID GBAUP \\\n",
	+ "0 134197.490397 33.936595 70.390620 295070969.0 8011.0 \n",
	+ "1 134131.833522 28.208608 29.339500 1004090.0 8012.0 \n",
	+ "2 134135.282805 40.053428 44.043504 1004090.0 8012.0 \n",
	+ "3 134142.188986 28.210273 29.341346 1004090.0 8012.0 \n",
	+ "4 134138.960671 37.840077 71.574129 1004090.0 8012.0 \n",
	+ "5 134135.795686 15.417311 10.154872 1004090.0 8012.0 \n",
	+ "6 134181.171146 59.815925 149.165008 1004088.0 8011.0 \n",
	+ "7 134175.889168 59.775896 148.702405 1004088.0 8011.0 \n",
	+ "8 134191.713704 45.633223 61.997846 295084893.0 8011.0 \n",
	+ "9 134191.118711 23.687927 22.959133 295084893.0 8011.0 \n",
	+ "10 134197.114437 23.199036 22.360589 295084893.0 8011.0 \n",
	+ "11 134196.622116 15.096068 11.164928 295084893.0 8011.0 \n",
	+ "12 134195.245953 15.198331 11.396747 295084893.0 8011.0 \n",
	+ "13 134195.306644 64.584475 117.365353 295084994.0 8014.0 \n",
	+ "14 134191.981218 64.301850 113.406403 295084994.0 8014.0 \n",
	+ "15 134161.244934 27.081498 37.981483 1004076.0 8012.0 \n",
	+ "16 134158.375583 25.402378 29.945648 1004076.0 8012.0 \n",
	+ "17 134152.306087 29.835723 39.429900 1004076.0 8012.0 \n",
	+ "18 134216.939359 29.062031 30.741322 1004089.0 8012.0 \n",
	+ "19 134213.701005 17.895750 19.831984 1004089.0 8012.0 \n",
	+ "20 134203.761986 18.414721 20.066844 295084994.0 8014.0 \n",
	+ "21 134200.829905 19.727025 20.261942 295084994.0 8014.0 \n",
	+ "22 134017.187739 31.767443 56.268749 1004049.0 8011.0 \n",
	+ "23 134013.574920 29.327904 43.406040 1004049.0 8011.0 \n",
	+ "24 134078.107216 66.270016 215.837030 1004035.0 8011.0 \n",
	+ "25 134072.701545 66.856008 225.390527 1004035.0 8011.0 \n",
	+ "26 134059.252231 24.705455 30.633213 1004035.0 8011.0 \n",
	+ "27 134055.974734 27.196876 42.462233 1004035.0 8011.0 \n",
	+ "28 134078.914455 32.942705 69.128758 1004073.0 8011.0 \n",
	+ "29 134085.492644 32.609685 67.373176 1004073.0 8011.0 \n",
	+ "... ... ... ... ... ... \n",
	+ "154794 121868.767886 24.997104 25.656416 295081617.0 8017.0 \n",
	+ "154795 121846.443211 27.509294 33.153466 1018650.0 8015.0 \n",
	+ "154796 121799.313992 54.005430 120.493402 1018653.0 8012.0 \n",
	+ "154797 121802.781737 53.905711 119.641777 1018653.0 8012.0 \n",
	+ "154798 121811.881398 47.143675 91.927158 1018653.0 8012.0 \n",
	+ "154799 121817.612632 28.618486 43.718502 1018653.0 8012.0 \n",
	+ "154800 121822.382400 16.789635 13.863595 1018653.0 8012.0 \n",
	+ "154801 121769.079140 23.556753 34.231614 2040405.0 8012.0 \n",
	+ "154802 121765.612262 23.566963 34.201265 2040405.0 8012.0 \n",
	+ "154803 121760.247993 37.797327 55.148314 2040405.0 8012.0 \n",
	+ "154804 121763.783138 29.386703 53.499302 2040405.0 8012.0 \n",
	+ "154805 121745.126015 30.833490 33.393443 2040405.0 8012.0 \n",
	+ "154806 121740.921893 39.260540 82.722458 2040405.0 8012.0 \n",
	+ "154807 121776.663075 66.560300 226.093454 1018659.0 8011.0 \n",
	+ "154808 121769.520367 66.292584 222.913017 1018659.0 8011.0 \n",
	+ "154809 121844.774678 55.702429 114.847781 1018654.0 8011.0 \n",
	+ "154810 121842.120366 56.243851 121.027343 1018654.0 8011.0 \n",
	+ "154811 121857.263294 23.119281 19.328343 1018654.0 8011.0 \n",
	+ "154812 121855.152708 19.585625 20.336518 1018654.0 8011.0 \n",
	+ "154813 121829.041410 24.377198 31.954253 1018654.0 8011.0 \n",
	+ "154814 121831.368979 26.787103 42.321731 1018654.0 8011.0 \n",
	+ "154815 121838.457750 29.085365 34.768271 1018654.0 8011.0 \n",
	+ "154816 121962.982921 22.665441 32.006156 1018655.0 8014.0 \n",
	+ "154817 121964.977036 15.514710 12.886922 1018655.0 8014.0 \n",
	+ "154818 121907.640275 69.264065 181.708205 1018655.0 8014.0 \n",
	+ "154819 121910.827716 72.136766 201.586966 1018655.0 8014.0 \n",
	+ "154820 121763.322478 43.276794 116.796274 1018651.0 8013.0 \n",
	+ "154821 121758.418405 43.277184 116.797944 1018651.0 8013.0 \n",
	+ "154822 121945.700714 16.399780 14.964642 1018655.0 8014.0 \n",
	+ "154823 121946.778198 16.370630 14.885036 1018655.0 8014.0 \n",
	+ "\n",
	+ " ... n_corners panel_tilt best_align \\\n",
	+ "0 ... 4 10 vertical \n",
	+ "1 ... 4 37 equal \n",
	+ "2 ... 7 31 horizontal \n",
	+ "3 ... 4 37 horizontal \n",
	+ "4 ... 4 28 vertical \n",
	+ "5 ... 3 27 equal \n",
	+ "6 ... 4 31 vertical \n",
	+ "7 ... 4 31 vertical \n",
	+ "8 ... 5 26 horizontal \n",
	+ "9 ... 5 31 horizontal \n",
	+ "10 ... 5 31 horizontal \n",
	+ "11 ... 6 33 equal \n",
	+ "12 ... 5 32 vertical \n",
	+ "13 ... 4 26 vertical \n",
	+ "14 ... 4 26 vertical \n",
	+ "15 ... 5 37 horizontal \n",
	+ "16 ... 4 32 horizontal \n",
	+ "17 ... 4 38 vertical \n",
	+ "18 ... 4 28 horizontal \n",
	+ "19 ... 4 7 vertical \n",
	+ "20 ... 5 18 horizontal \n",
	+ "21 ... 6 19 horizontal \n",
	+ "22 ... 5 35 horizontal \n",
	+ "23 ... 5 34 horizontal \n",
	+ "24 ... 4 34 vertical \n",
	+ "25 ... 5 30 vertical \n",
	+ "26 ... 6 24 vertical \n",
	+ "27 ... 4 22 horizontal \n",
	+ "28 ... 6 33 horizontal \n",
	+ "29 ... 5 31 vertical \n",
	+ "... ... ... ... ... \n",
	+ "154794 ... 5 21 horizontal \n",
	+ "154795 ... 4 11 horizontal \n",
	+ "154796 ... 9 30 horizontal \n",
	+ "154797 ... 9 30 horizontal \n",
	+ "154798 ... 8 7 equal \n",
	+ "154799 ... 4 7 vertical \n",
	+ "154800 ... 6 11 horizontal \n",
	+ "154801 ... 5 21 equal \n",
	+ "154802 ... 4 19 equal \n",
	+ "154803 ... 8 17 vertical \n",
	+ "154804 ... 5 22 vertical \n",
	+ "154805 ... 7 22 horizontal \n",
	+ "154806 ... 8 20 horizontal \n",
	+ "154807 ... 4 15 horizontal \n",
	+ "154808 ... 4 16 horizontal \n",
	+ "154809 ... 5 29 vertical \n",
	+ "154810 ... 4 28 vertical \n",
	+ "154811 ... 6 23 vertical \n",
	+ "154812 ... 4 19 equal \n",
	+ "154813 ... 4 17 vertical \n",
	+ "154814 ... 4 13 horizontal \n",
	+ "154815 ... 6 30 vertical \n",
	+ "154816 ... 5 7 vertical \n",
	+ "154817 ... 5 25 vertical \n",
	+ "154818 ... 4 26 vertical \n",
	+ "154819 ... 6 25 horizontal \n",
	+ "154820 ... 4 22 equal \n",
	+ "154821 ... 4 22 equal \n",
	+ "154822 ... 4 32 equal \n",
	+ "154823 ... 4 33 equal \n",
	+ "\n",
	+ " panelled_area_ratio_ftr shaded_area_ratio_ftr shaded_area_ratio_tgt \\\n",
	+ "0 0.805740 0.117647 0.166667 \n",
	+ "1 0.390669 0.000000 0.386555 \n",
	+ "2 0.155843 0.000000 0.119318 \n",
	+ "3 0.390652 0.166667 0.322034 \n",
	+ "4 0.708866 0.333333 0.077193 \n",
	+ "5 0.140385 0.000000 0.075000 \n",
	+ "6 0.806868 0.135135 0.020101 \n",
	+ "7 0.808692 0.131579 0.161345 \n",
	+ "8 0.508551 0.000000 0.060241 \n",
	+ "9 0.479105 0.000000 0.000000 \n",
	+ "10 0.491953 0.000000 0.000000 \n",
	+ "11 0.240439 0.000000 0.266667 \n",
	+ "12 0.236983 0.000000 0.000000 \n",
	+ "13 0.664420 0.900000 0.785106 \n",
	+ "14 0.683138 0.214286 0.556291 \n",
	+ "15 0.673116 0.800000 0.973510 \n",
	+ "16 0.450739 0.142857 0.725000 \n",
	+ "17 0.641952 0.900000 0.961538 \n",
	+ "18 0.457623 0.125000 0.975610 \n",
	+ "19 0.640659 0.666667 0.925000 \n",
	+ "20 0.454549 0.000000 0.506173 \n",
	+ "21 0.449135 0.000000 0.543210 \n",
	+ "22 0.697125 0.142857 0.053333 \n",
	+ "23 0.734273 0.100000 0.034682 \n",
	+ "24 0.834434 0.109091 0.030093 \n",
	+ "25 0.767733 0.035714 0.008869 \n",
	+ "26 0.478251 0.000000 0.008130 \n",
	+ "27 0.593609 0.000000 0.005952 \n",
	+ "28 0.621352 0.000000 0.003610 \n",
	+ "29 0.710913 0.000000 0.092937 \n",
	+ "... ... ... ... \n",
	+ "154794 0.582028 0.000000 0.009434 \n",
	+ "154795 0.569172 0.000000 0.015152 \n",
	+ "154796 0.677122 0.000000 0.004149 \n",
	+ "154797 0.639859 0.064516 0.041841 \n",
	+ "154798 0.656369 0.045455 0.147541 \n",
	+ "154799 0.653339 0.000000 0.022857 \n",
	+ "154800 0.453267 0.000000 0.071429 \n",
	+ "154801 0.522396 0.000000 0.000000 \n",
	+ "154802 0.530687 0.000000 0.000000 \n",
	+ "154803 0.694324 0.000000 0.105023 \n",
	+ "154804 0.773988 0.076923 0.186916 \n",
	+ "154805 0.356559 0.000000 0.014493 \n",
	+ "154806 0.744948 0.052632 0.015291 \n",
	+ "154807 0.861033 0.000000 0.002212 \n",
	+ "154808 0.867294 0.000000 0.000000 \n",
	+ "154809 0.800451 0.033333 0.087146 \n",
	+ "154810 0.768899 0.000000 0.004124 \n",
	+ "154811 0.380799 0.000000 0.129870 \n",
	+ "154812 0.445654 0.000000 0.123457 \n",
	+ "154813 0.671820 0.125000 0.570312 \n",
	+ "154814 0.590432 0.000000 0.470588 \n",
	+ "154815 0.119561 0.111111 0.231884 \n",
	+ "154816 0.595122 0.000000 0.375000 \n",
	+ "154817 0.449135 0.500000 0.250000 \n",
	+ "154818 0.836042 0.022222 0.042582 \n",
	+ "154819 0.692926 0.102041 0.042131 \n",
	+ "154820 0.759459 0.035714 0.012876 \n",
	+ "154821 0.759441 0.000000 0.040598 \n",
	+ "154822 0.360795 0.000000 0.000000 \n",
	+ "154823 0.362166 0.000000 0.016393 \n",
	+ "\n",
	+ " tilt_cat orientation_cat available_area_ratio \\\n",
	+ "0 shallow_tilt N 0.671450 \n",
	+ "1 medium_tilt SW 0.106513 \n",
	+ "2 medium_tilt SE 0.137248 \n",
	+ "3 medium_tilt N 0.147138 \n",
	+ "4 medium_tilt N 0.654146 \n",
	+ "5 medium_tilt N 0.129856 \n",
	+ "6 medium_tilt N 0.790649 \n",
	+ "7 medium_tilt SW 0.678214 \n",
	+ "8 medium_tilt SW 0.260681 \n",
	+ "9 medium_tilt N 0.479105 \n",
	+ "10 medium_tilt N 0.491953 \n",
	+ "11 medium_tilt N 0.176322 \n",
	+ "12 medium_tilt SE 0.236983 \n",
	+ "13 medium_tilt N 0.142780 \n",
	+ "14 medium_tilt SW 0.303114 \n",
	+ "15 medium_tilt N 0.017831 \n",
	+ "16 medium_tilt SW 0.123953 \n",
	+ "17 medium_tilt SW 0.024690 \n",
	+ "18 medium_tilt N 0.011162 \n",
	+ "19 shallow_tilt SW 0.048049 \n",
	+ "20 shallow_tilt N 0.224469 \n",
	+ "21 shallow_tilt SW 0.205161 \n",
	+ "22 medium_tilt N 0.659945 \n",
	+ "23 medium_tilt SW 0.649740 \n",
	+ "24 medium_tilt N 0.809324 \n",
	+ "25 medium_tilt SE 0.760923 \n",
	+ "26 medium_tilt N 0.474363 \n",
	+ "27 medium_tilt SW 0.590075 \n",
	+ "28 medium_tilt SE 0.619109 \n",
	+ "29 medium_tilt N 0.368482 \n",
	+ "... ... ... ... \n",
	+ "154794 medium_tilt N 0.576538 \n",
	+ "154795 shallow_tilt SW 0.560548 \n",
	+ "154796 medium_tilt SE 0.674312 \n",
	+ "154797 medium_tilt N 0.613087 \n",
	+ "154798 shallow_tilt N 0.559528 \n",
	+ "154799 shallow_tilt N 0.638405 \n",
	+ "154800 shallow_tilt N 0.420890 \n",
	+ "154801 medium_tilt N 0.522396 \n",
	+ "154802 shallow_tilt SE 0.530687 \n",
	+ "154803 shallow_tilt SE 0.621404 \n",
	+ "154804 medium_tilt N 0.629317 \n",
	+ "154805 medium_tilt N 0.351391 \n",
	+ "154806 medium_tilt SW 0.733557 \n",
	+ "154807 shallow_tilt N 0.859128 \n",
	+ "154808 shallow_tilt SW 0.867294 \n",
	+ "154809 medium_tilt N 0.675339 \n",
	+ "154810 medium_tilt SE 0.765728 \n",
	+ "154811 medium_tilt N 0.331345 \n",
	+ "154812 shallow_tilt SW 0.390635 \n",
	+ "154813 shallow_tilt SE 0.288673 \n",
	+ "154814 shallow_tilt N 0.312582 \n",
	+ "154815 flat S 0.091837 \n",
	+ "154816 shallow_tilt SE 0.371951 \n",
	+ "154817 medium_tilt N 0.336851 \n",
	+ "154818 medium_tilt SE 0.800441 \n",
	+ "154819 medium_tilt N 0.663732 \n",
	+ "154820 medium_tilt N 0.749680 \n",
	+ "154821 medium_tilt SE 0.728609 \n",
	+ "154822 medium_tilt SE 0.360795 \n",
	+ "154823 medium_tilt N 0.356229 \n",
	+ "\n",
	+ " panelled_area_ratio_tgt \n",
	+ "0 0.805740 \n",
	+ "1 0.173631 \n",
	+ "2 0.155843 \n",
	+ "3 0.217029 \n",
	+ "4 0.708866 \n",
	+ "5 0.140385 \n",
	+ "6 0.806868 \n",
	+ "7 0.808692 \n",
	+ "8 0.277391 \n",
	+ "9 0.479105 \n",
	+ "10 0.491953 \n",
	+ "11 0.240439 \n",
	+ "12 0.236983 \n",
	+ "13 0.664420 \n",
	+ "14 0.683138 \n",
	+ "15 0.673116 \n",
	+ "16 0.450739 \n",
	+ "17 0.641952 \n",
	+ "18 0.457623 \n",
	+ "19 0.640659 \n",
	+ "20 0.454549 \n",
	+ "21 0.449135 \n",
	+ "22 0.697125 \n",
	+ "23 0.673084 \n",
	+ "24 0.834434 \n",
	+ "25 0.767733 \n",
	+ "26 0.478251 \n",
	+ "27 0.593609 \n",
	+ "28 0.621352 \n",
	+ "29 0.406236 \n",
	+ "... ... \n",
	+ "154794 0.582028 \n",
	+ "154795 0.569172 \n",
	+ "154796 0.677122 \n",
	+ "154797 0.639859 \n",
	+ "154798 0.656369 \n",
	+ "154799 0.653339 \n",
	+ "154800 0.453267 \n",
	+ "154801 0.522396 \n",
	+ "154802 0.530687 \n",
	+ "154803 0.694324 \n",
	+ "154804 0.773988 \n",
	+ "154805 0.356559 \n",
	+ "154806 0.744948 \n",
	+ "154807 0.861033 \n",
	+ "154808 0.867294 \n",
	+ "154809 0.739811 \n",
	+ "154810 0.768899 \n",
	+ "154811 0.380799 \n",
	+ "154812 0.445654 \n",
	+ "154813 0.671820 \n",
	+ "154814 0.590432 \n",
	+ "154815 0.119561 \n",
	+ "154816 0.595122 \n",
	+ "154817 0.449135 \n",
	+ "154818 0.836042 \n",
	+ "154819 0.692926 \n",
	+ "154820 0.759459 \n",
	+ "154821 0.759441 \n",
	+ "154822 0.360795 \n",
	+ "154823 0.362166 \n",
	+ "\n",
	+ "[154824 rows x 28 columns]"
	+ ]
	+ },
	+ "execution_count": 40,
	+ "metadata": {},
	+ "output_type": "execute_result"
	+ }
	+ ],
	+ "source": [
	+ "TRN_new"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 41,
	+ "metadata": {},
	+ "outputs": [],
	+ "source": [
	+ "TRN_new.to_csv(trn_fp, index = False)"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": null,
	+ "metadata": {},
	+ "outputs": [],
	+ "source": []
	+ }
	+ ],
	+ "metadata": {
	+ "kernelspec": {
	+ "display_name": "Python 3",
	+ "language": "python",
	+ "name": "python3"
	+ },
	+ "language_info": {
	+ "codemirror_mode": {
	+ "name": "ipython",
	+ "version": 3
	+ },
	+ "file_extension": ".py",
	+ "mimetype": "text/x-python",
	+ "name": "python",
	+ "nbconvert_exporter": "python",
	+ "pygments_lexer": "ipython3",
	+ "version": "3.6.4"
	+ }
	+ },
	+ "nbformat": 4,
	+ "nbformat_minor": 2
	+}
	diff --git a/Shading/horizon_bin_widths.pptx b/Shading/horizon_bin_widths.pptx
	index 56b7755..654bb61 100644
	Binary files a/Shading/horizon_bin_widths.pptx and b/Shading/horizon_bin_widths.pptx differ
	diff --git a/Solar_Future/.ipynb_checkpoints/MeteoSwiss_daily-checkpoint.ipynb b/Solar_Future/.ipynb_checkpoints/MeteoSwiss_daily-checkpoint.ipynb
	index 2fd6442..a2a5e0c 100644
	--- a/Solar_Future/.ipynb_checkpoints/MeteoSwiss_daily-checkpoint.ipynb
	+++ b/Solar_Future/.ipynb_checkpoints/MeteoSwiss_daily-checkpoint.ipynb
	@@ -1,6 +1,7335 @@
	{
	- "cells": [],
	- "metadata": {},
	+ "cells": [
	+ {
	+ "cell_type": "code",
	+ "execution_count": 1,
	+ "metadata": {},
	+ "outputs": [],
	+ "source": [
	+ "import xarray as xr\n",
	+ "import pandas as pd\n",
	+ "import numpy as np\n",
	+ "from rpy2.robjects import r, pandas2ri\n",
	+ "\n",
	+ "# import gdal\n",
	+ "\n",
	+ "import matplotlib\n",
	+ "%matplotlib notebook\n",
	+ "import matplotlib.pyplot as plt"
	+ ]
	+ },
	+ {
	+ "cell_type": "markdown",
	+ "metadata": {},
	+ "source": [
	+ "# Create yearly files of daily GHI projected to LV03\n",
	+ "1. Aggregate data as yearly files with daily data\n",
	+ "2. Load yearly GHI files in WSG94 (grass)\n",
	+ "3. Project GHI files to CH_LV03 using XXXXX\n",
	+ "4. Convert to 3D raster and export as netcdf\n",
	+ "5. Drop data based on precipitation raster & adjust coordinates (in python)\n",
	+ "6. Export and save on /work"
	+ ]
	+ },
	+ {
	+ "cell_type": "markdown",
	+ "metadata": {},
	+ "source": [
	+ "### Step 1"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 2,
	+ "metadata": {},
	+ "outputs": [],
	+ "source": [
	+ "year_hourly = xr.open_mfdataset('/Users/alinawalch/Downloads/MSG_SIS_H_2016/*.nc')"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 3,
	+ "metadata": {},
	+ "outputs": [
	+ {
	+ "data": {
	+ "text/plain": [
	+ "<xarray.Dataset>\n",
	+ "Dimensions: (lat: 103, lon: 241, time: 8784)\n",
	+ "Coordinates:\n",
	+ " * lon (lon) float32 5.75 5.7708335 ... 10.729167 10.75\n",
	+ " * lat (lat) float32 45.75 45.770832 ... 47.854164 47.875\n",
	+ " * time (time) datetime64[ns] 2016-01-01 ... 2016-12-31T23:00:00\n",
	+ "Data variables:\n",
	+ " geographic_projection (time) \|S1 b'' b'' b'' b'' b'' ... b'' b'' b'' b''\n",
	+ " SIS (time, lat, lon) float32 dask.array<shape=(8784, 103, 241), chunksize=(24, 103, 241)>\n",
	+ "Attributes:\n",
	+ " Title: The HelioMont Surface Solar Radiation Process...\n",
	+ " Summary: Composited surface states, cloud properties a...\n",
	+ " Institution: Federal Office of Meteorology and Climatology...\n",
	+ " References: Reto Stockli (2013). The HelioMont Surface So...\n",
	+ " Conventions: CF-1.5\n",
	+ " Metadata_Conventions: Unidata Dataset Discovery v1.0\n",
	+ " Digital_Object_Identifier: not assigned\n",
	+ " Creator_Name: Reto Stockli\n",
	+ " Creator_Email: reto.stoeckli@meteoswiss.ch\n",
	+ " Creator_Url: http://www.meteoswiss.ch"
	+ ]
	+ },
	+ "execution_count": 3,
	+ "metadata": {},
	+ "output_type": "execute_result"
	+ }
	+ ],
	+ "source": [
	+ "year_hourly"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 4,
	+ "metadata": {},
	+ "outputs": [],
	+ "source": [
	+ "year_daily = year_hourly['SIS'].resample(time = '1D').sum('time')"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 5,
	+ "metadata": {},
	+ "outputs": [
	+ {
	+ "data": {
	+ "text/plain": [
	+ "<xarray.DataArray 'geographic_projection' ()>\n",
	+ "array(b'', dtype='\|S1')\n",
	+ "Coordinates:\n",
	+ " time datetime64[ns] 2016-01-01\n",
	+ "Attributes:\n",
	+ " grid_mapping_name: latitude_longitude\n",
	+ " datum: wgs84\n",
	+ " semi_major_axis: 6378137.0\n",
	+ " semi_minor_axis: 6356752.3\n",
	+ " spatial_ref: GEOGCS[\"WGS 84\",DATUM[\"WGS_1984\",SPHEROID[\"WGS 84\",63...\n",
	+ " version: 2.4.0"
	+ ]
	+ },
	+ "execution_count": 5,
	+ "metadata": {},
	+ "output_type": "execute_result"
	+ }
	+ ],
	+ "source": [
	+ "year_hourly.geographic_projection.isel(time = 0)"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 6,
	+ "metadata": {},
	+ "outputs": [],
	+ "source": [
	+ "year_ds = xr.Dataset({'SIS' : year_daily})\n",
	+ "year_ds['geographic_projection'] = year_hourly.geographic_projection.isel(time = 0)\n",
	+ "year_ds.attrs = year_hourly.attrs"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 7,
	+ "metadata": {},
	+ "outputs": [
	+ {
	+ "data": {
	+ "text/plain": [
	+ "<xarray.Dataset>\n",
	+ "Dimensions: (lat: 103, lon: 241, time: 366)\n",
	+ "Coordinates:\n",
	+ " * time (time) datetime64[ns] 2016-01-01 ... 2016-12-31\n",
	+ " * lon (lon) float32 5.75 5.7708335 ... 10.729167 10.75\n",
	+ " * lat (lat) float32 45.75 45.770832 ... 47.854164 47.875\n",
	+ "Data variables:\n",
	+ " SIS (time, lat, lon) float32 dask.array<shape=(366, 103, 241), chunksize=(1, 103, 241)>\n",
	+ " geographic_projection \|S1 b''\n",
	+ "Attributes:\n",
	+ " Title: The HelioMont Surface Solar Radiation Process...\n",
	+ " Summary: Composited surface states, cloud properties a...\n",
	+ " Institution: Federal Office of Meteorology and Climatology...\n",
	+ " References: Reto Stockli (2013). The HelioMont Surface So...\n",
	+ " Conventions: CF-1.5\n",
	+ " Metadata_Conventions: Unidata Dataset Discovery v1.0\n",
	+ " Digital_Object_Identifier: not assigned\n",
	+ " Creator_Name: Reto Stockli\n",
	+ " Creator_Email: reto.stoeckli@meteoswiss.ch\n",
	+ " Creator_Url: http://www.meteoswiss.ch"
	+ ]
	+ },
	+ "execution_count": 7,
	+ "metadata": {},
	+ "output_type": "execute_result"
	+ }
	+ ],
	+ "source": [
	+ "year_ds"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 8,
	+ "metadata": {},
	+ "outputs": [
	+ {
	+ "data": {
	+ "text/plain": [
	+ "<xarray.DataArray 'geographic_projection' ()>\n",
	+ "array(b'', dtype='\|S1')\n",
	+ "Attributes:\n",
	+ " grid_mapping_name: latitude_longitude\n",
	+ " datum: wgs84\n",
	+ " semi_major_axis: 6378137.0\n",
	+ " semi_minor_axis: 6356752.3\n",
	+ " spatial_ref: GEOGCS[\"WGS 84\",DATUM[\"WGS_1984\",SPHEROID[\"WGS 84\",63...\n",
	+ " version: 2.4.0"
	+ ]
	+ },
	+ "execution_count": 8,
	+ "metadata": {},
	+ "output_type": "execute_result"
	+ }
	+ ],
	+ "source": [
	+ "year_ds.geographic_projection"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 9,
	+ "metadata": {},
	+ "outputs": [
	+ {
	+ "data": {
	+ "application/javascript": [
	+ "/* Put everything inside the global mpl namespace */\n",
	+ "window.mpl = {};\n",
	+ "\n",
	+ "\n",
	+ "mpl.get_websocket_type = function() {\n",
	+ " if (typeof(WebSocket) !== 'undefined') {\n",
	+ " return WebSocket;\n",
	+ " } else if (typeof(MozWebSocket) !== 'undefined') {\n",
	+ " return MozWebSocket;\n",
	+ " } else {\n",
	+ " alert('Your browser does not have WebSocket support.' +\n",
	+ " 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
	+ " 'Firefox 4 and 5 are also supported but you ' +\n",
	+ " 'have to enable WebSockets in about:config.');\n",
	+ " };\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
	+ " this.id = figure_id;\n",
	+ "\n",
	+ " this.ws = websocket;\n",
	+ "\n",
	+ " this.supports_binary = (this.ws.binaryType != undefined);\n",
	+ "\n",
	+ " if (!this.supports_binary) {\n",
	+ " var warnings = document.getElementById(\"mpl-warnings\");\n",
	+ " if (warnings) {\n",
	+ " warnings.style.display = 'block';\n",
	+ " warnings.textContent = (\n",
	+ " \"This browser does not support binary websocket messages. \" +\n",
	+ " \"Performance may be slow.\");\n",
	+ " }\n",
	+ " }\n",
	+ "\n",
	+ " this.imageObj = new Image();\n",
	+ "\n",
	+ " this.context = undefined;\n",
	+ " this.message = undefined;\n",
	+ " this.canvas = undefined;\n",
	+ " this.rubberband_canvas = undefined;\n",
	+ " this.rubberband_context = undefined;\n",
	+ " this.format_dropdown = undefined;\n",
	+ "\n",
	+ " this.image_mode = 'full';\n",
	+ "\n",
	+ " this.root = $('<div/>');\n",
	+ " this._root_extra_style(this.root)\n",
	+ " this.root.attr('style', 'display: inline-block');\n",
	+ "\n",
	+ " $(parent_element).append(this.root);\n",
	+ "\n",
	+ " this._init_header(this);\n",
	+ " this._init_canvas(this);\n",
	+ " this._init_toolbar(this);\n",
	+ "\n",
	+ " var fig = this;\n",
	+ "\n",
	+ " this.waiting = false;\n",
	+ "\n",
	+ " this.ws.onopen = function () {\n",
	+ " fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
	+ " fig.send_message(\"send_image_mode\", {});\n",
	+ " if (mpl.ratio != 1) {\n",
	+ " fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
	+ " }\n",
	+ " fig.send_message(\"refresh\", {});\n",
	+ " }\n",
	+ "\n",
	+ " this.imageObj.onload = function() {\n",
	+ " if (fig.image_mode == 'full') {\n",
	+ " // Full images could contain transparency (where diff images\n",
	+ " // almost always do), so we need to clear the canvas so that\n",
	+ " // there is no ghosting.\n",
	+ " fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
	+ " }\n",
	+ " fig.context.drawImage(fig.imageObj, 0, 0);\n",
	+ " };\n",
	+ "\n",
	+ " this.imageObj.onunload = function() {\n",
	+ " fig.ws.close();\n",
	+ " }\n",
	+ "\n",
	+ " this.ws.onmessage = this._make_on_message_function(this);\n",
	+ "\n",
	+ " this.ondownload = ondownload;\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._init_header = function() {\n",
	+ " var titlebar = $(\n",
	+ " '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
	+ " 'ui-helper-clearfix\"/>');\n",
	+ " var titletext = $(\n",
	+ " '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
	+ " 'text-align: center; padding: 3px;\"/>');\n",
	+ " titlebar.append(titletext)\n",
	+ " this.root.append(titlebar);\n",
	+ " this.header = titletext[0];\n",
	+ "}\n",
	+ "\n",
	+ "\n",
	+ "\n",
	+ "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
	+ "\n",
	+ "}\n",
	+ "\n",
	+ "\n",
	+ "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
	+ "\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._init_canvas = function() {\n",
	+ " var fig = this;\n",
	+ "\n",
	+ " var canvas_div = $('<div/>');\n",
	+ "\n",
	+ " canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
	+ "\n",
	+ " function canvas_keyboard_event(event) {\n",
	+ " return fig.key_event(event, event['data']);\n",
	+ " }\n",
	+ "\n",
	+ " canvas_div.keydown('key_press', canvas_keyboard_event);\n",
	+ " canvas_div.keyup('key_release', canvas_keyboard_event);\n",
	+ " this.canvas_div = canvas_div\n",
	+ " this._canvas_extra_style(canvas_div)\n",
	+ " this.root.append(canvas_div);\n",
	+ "\n",
	+ " var canvas = $('<canvas/>');\n",
	+ " canvas.addClass('mpl-canvas');\n",
	+ " canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
	+ "\n",
	+ " this.canvas = canvas[0];\n",
	+ " this.context = canvas[0].getContext(\"2d\");\n",
	+ "\n",
	+ " var backingStore = this.context.backingStorePixelRatio \|\|\n",
	+ "\tthis.context.webkitBackingStorePixelRatio \|\|\n",
	+ "\tthis.context.mozBackingStorePixelRatio \|\|\n",
	+ "\tthis.context.msBackingStorePixelRatio \|\|\n",
	+ "\tthis.context.oBackingStorePixelRatio \|\|\n",
	+ "\tthis.context.backingStorePixelRatio \|\| 1;\n",
	+ "\n",
	+ " mpl.ratio = (window.devicePixelRatio \|\| 1) / backingStore;\n",
	+ "\n",
	+ " var rubberband = $('<canvas/>');\n",
	+ " rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
	+ "\n",
	+ " var pass_mouse_events = true;\n",
	+ "\n",
	+ " canvas_div.resizable({\n",
	+ " start: function(event, ui) {\n",
	+ " pass_mouse_events = false;\n",
	+ " },\n",
	+ " resize: function(event, ui) {\n",
	+ " fig.request_resize(ui.size.width, ui.size.height);\n",
	+ " },\n",
	+ " stop: function(event, ui) {\n",
	+ " pass_mouse_events = true;\n",
	+ " fig.request_resize(ui.size.width, ui.size.height);\n",
	+ " },\n",
	+ " });\n",
	+ "\n",
	+ " function mouse_event_fn(event) {\n",
	+ " if (pass_mouse_events)\n",
	+ " return fig.mouse_event(event, event['data']);\n",
	+ " }\n",
	+ "\n",
	+ " rubberband.mousedown('button_press', mouse_event_fn);\n",
	+ " rubberband.mouseup('button_release', mouse_event_fn);\n",
	+ " // Throttle sequential mouse events to 1 every 20ms.\n",
	+ " rubberband.mousemove('motion_notify', mouse_event_fn);\n",
	+ "\n",
	+ " rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
	+ " rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
	+ "\n",
	+ " canvas_div.on(\"wheel\", function (event) {\n",
	+ " event = event.originalEvent;\n",
	+ " event['data'] = 'scroll'\n",
	+ " if (event.deltaY < 0) {\n",
	+ " event.step = 1;\n",
	+ " } else {\n",
	+ " event.step = -1;\n",
	+ " }\n",
	+ " mouse_event_fn(event);\n",
	+ " });\n",
	+ "\n",
	+ " canvas_div.append(canvas);\n",
	+ " canvas_div.append(rubberband);\n",
	+ "\n",
	+ " this.rubberband = rubberband;\n",
	+ " this.rubberband_canvas = rubberband[0];\n",
	+ " this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
	+ " this.rubberband_context.strokeStyle = \"#000000\";\n",
	+ "\n",
	+ " this._resize_canvas = function(width, height) {\n",
	+ " // Keep the size of the canvas, canvas container, and rubber band\n",
	+ " // canvas in synch.\n",
	+ " canvas_div.css('width', width)\n",
	+ " canvas_div.css('height', height)\n",
	+ "\n",
	+ " canvas.attr('width', width * mpl.ratio);\n",
	+ " canvas.attr('height', height * mpl.ratio);\n",
	+ " canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
	+ "\n",
	+ " rubberband.attr('width', width);\n",
	+ " rubberband.attr('height', height);\n",
	+ " }\n",
	+ "\n",
	+ " // Set the figure to an initial 600x600px, this will subsequently be updated\n",
	+ " // upon first draw.\n",
	+ " this._resize_canvas(600, 600);\n",
	+ "\n",
	+ " // Disable right mouse context menu.\n",
	+ " $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
	+ " return false;\n",
	+ " });\n",
	+ "\n",
	+ " function set_focus () {\n",
	+ " canvas.focus();\n",
	+ " canvas_div.focus();\n",
	+ " }\n",
	+ "\n",
	+ " window.setTimeout(set_focus, 100);\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._init_toolbar = function() {\n",
	+ " var fig = this;\n",
	+ "\n",
	+ " var nav_element = $('<div/>')\n",
	+ " nav_element.attr('style', 'width: 100%');\n",
	+ " this.root.append(nav_element);\n",
	+ "\n",
	+ " // Define a callback function for later on.\n",
	+ " function toolbar_event(event) {\n",
	+ " return fig.toolbar_button_onclick(event['data']);\n",
	+ " }\n",
	+ " function toolbar_mouse_event(event) {\n",
	+ " return fig.toolbar_button_onmouseover(event['data']);\n",
	+ " }\n",
	+ "\n",
	+ " for(var toolbar_ind in mpl.toolbar_items) {\n",
	+ " var name = mpl.toolbar_items[toolbar_ind][0];\n",
	+ " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
	+ " var image = mpl.toolbar_items[toolbar_ind][2];\n",
	+ " var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
	+ "\n",
	+ " if (!name) {\n",
	+ " // put a spacer in here.\n",
	+ " continue;\n",
	+ " }\n",
	+ " var button = $('<button/>');\n",
	+ " button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
	+ " 'ui-button-icon-only');\n",
	+ " button.attr('role', 'button');\n",
	+ " button.attr('aria-disabled', 'false');\n",
	+ " button.click(method_name, toolbar_event);\n",
	+ " button.mouseover(tooltip, toolbar_mouse_event);\n",
	+ "\n",
	+ " var icon_img = $('<span/>');\n",
	+ " icon_img.addClass('ui-button-icon-primary ui-icon');\n",
	+ " icon_img.addClass(image);\n",
	+ " icon_img.addClass('ui-corner-all');\n",
	+ "\n",
	+ " var tooltip_span = $('<span/>');\n",
	+ " tooltip_span.addClass('ui-button-text');\n",
	+ " tooltip_span.html(tooltip);\n",
	+ "\n",
	+ " button.append(icon_img);\n",
	+ " button.append(tooltip_span);\n",
	+ "\n",
	+ " nav_element.append(button);\n",
	+ " }\n",
	+ "\n",
	+ " var fmt_picker_span = $('<span/>');\n",
	+ "\n",
	+ " var fmt_picker = $('<select/>');\n",
	+ " fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
	+ " fmt_picker_span.append(fmt_picker);\n",
	+ " nav_element.append(fmt_picker_span);\n",
	+ " this.format_dropdown = fmt_picker[0];\n",
	+ "\n",
	+ " for (var ind in mpl.extensions) {\n",
	+ " var fmt = mpl.extensions[ind];\n",
	+ " var option = $(\n",
	+ " '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
	+ " fmt_picker.append(option)\n",
	+ " }\n",
	+ "\n",
	+ " // Add hover states to the ui-buttons\n",
	+ " $( \".ui-button\" ).hover(\n",
	+ " function() { $(this).addClass(\"ui-state-hover\");},\n",
	+ " function() { $(this).removeClass(\"ui-state-hover\");}\n",
	+ " );\n",
	+ "\n",
	+ " var status_bar = $('<span class=\"mpl-message\"/>');\n",
	+ " nav_element.append(status_bar);\n",
	+ " this.message = status_bar[0];\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
	+ " // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
	+ " // which will in turn request a refresh of the image.\n",
	+ " this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.send_message = function(type, properties) {\n",
	+ " properties['type'] = type;\n",
	+ " properties['figure_id'] = this.id;\n",
	+ " this.ws.send(JSON.stringify(properties));\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.send_draw_message = function() {\n",
	+ " if (!this.waiting) {\n",
	+ " this.waiting = true;\n",
	+ " this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
	+ " }\n",
	+ "}\n",
	+ "\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
	+ " var format_dropdown = fig.format_dropdown;\n",
	+ " var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
	+ " fig.ondownload(fig, format);\n",
	+ "}\n",
	+ "\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
	+ " var size = msg['size'];\n",
	+ " if (size[0] != fig.canvas.width \|\| size[1] != fig.canvas.height) {\n",
	+ " fig._resize_canvas(size[0], size[1]);\n",
	+ " fig.send_message(\"refresh\", {});\n",
	+ " };\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
	+ " var x0 = msg['x0'] / mpl.ratio;\n",
	+ " var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
	+ " var x1 = msg['x1'] / mpl.ratio;\n",
	+ " var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
	+ " x0 = Math.floor(x0) + 0.5;\n",
	+ " y0 = Math.floor(y0) + 0.5;\n",
	+ " x1 = Math.floor(x1) + 0.5;\n",
	+ " y1 = Math.floor(y1) + 0.5;\n",
	+ " var min_x = Math.min(x0, x1);\n",
	+ " var min_y = Math.min(y0, y1);\n",
	+ " var width = Math.abs(x1 - x0);\n",
	+ " var height = Math.abs(y1 - y0);\n",
	+ "\n",
	+ " fig.rubberband_context.clearRect(\n",
	+ " 0, 0, fig.canvas.width, fig.canvas.height);\n",
	+ "\n",
	+ " fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
	+ " // Updates the figure title.\n",
	+ " fig.header.textContent = msg['label'];\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
	+ " var cursor = msg['cursor'];\n",
	+ " switch(cursor)\n",
	+ " {\n",
	+ " case 0:\n",
	+ " cursor = 'pointer';\n",
	+ " break;\n",
	+ " case 1:\n",
	+ " cursor = 'default';\n",
	+ " break;\n",
	+ " case 2:\n",
	+ " cursor = 'crosshair';\n",
	+ " break;\n",
	+ " case 3:\n",
	+ " cursor = 'move';\n",
	+ " break;\n",
	+ " }\n",
	+ " fig.rubberband_canvas.style.cursor = cursor;\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
	+ " fig.message.textContent = msg['message'];\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
	+ " // Request the server to send over a new figure.\n",
	+ " fig.send_draw_message();\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
	+ " fig.image_mode = msg['mode'];\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.updated_canvas_event = function() {\n",
	+ " // Called whenever the canvas gets updated.\n",
	+ " this.send_message(\"ack\", {});\n",
	+ "}\n",
	+ "\n",
	+ "// A function to construct a web socket function for onmessage handling.\n",
	+ "// Called in the figure constructor.\n",
	+ "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
	+ " return function socket_on_message(evt) {\n",
	+ " if (evt.data instanceof Blob) {\n",
	+ " /* FIXME: We get \"Resource interpreted as Image but\n",
	+ " * transferred with MIME type text/plain:\" errors on\n",
	+ " * Chrome. But how to set the MIME type? It doesn't seem\n",
	+ " * to be part of the websocket stream */\n",
	+ " evt.data.type = \"image/png\";\n",
	+ "\n",
	+ " /* Free the memory for the previous frames */\n",
	+ " if (fig.imageObj.src) {\n",
	+ " (window.URL \|\| window.webkitURL).revokeObjectURL(\n",
	+ " fig.imageObj.src);\n",
	+ " }\n",
	+ "\n",
	+ " fig.imageObj.src = (window.URL \|\| window.webkitURL).createObjectURL(\n",
	+ " evt.data);\n",
	+ " fig.updated_canvas_event();\n",
	+ " fig.waiting = false;\n",
	+ " return;\n",
	+ " }\n",
	+ " else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
	+ " fig.imageObj.src = evt.data;\n",
	+ " fig.updated_canvas_event();\n",
	+ " fig.waiting = false;\n",
	+ " return;\n",
	+ " }\n",
	+ "\n",
	+ " var msg = JSON.parse(evt.data);\n",
	+ " var msg_type = msg['type'];\n",
	+ "\n",
	+ " // Call the \"handle_{type}\" callback, which takes\n",
	+ " // the figure and JSON message as its only arguments.\n",
	+ " try {\n",
	+ " var callback = fig[\"handle_\" + msg_type];\n",
	+ " } catch (e) {\n",
	+ " console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
	+ " return;\n",
	+ " }\n",
	+ "\n",
	+ " if (callback) {\n",
	+ " try {\n",
	+ " // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
	+ " callback(fig, msg);\n",
	+ " } catch (e) {\n",
	+ " console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
	+ " }\n",
	+ " }\n",
	+ " };\n",
	+ "}\n",
	+ "\n",
	+ "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
	+ "mpl.findpos = function(e) {\n",
	+ " //this section is from http://www.quirksmode.org/js/events_properties.html\n",
	+ " var targ;\n",
	+ " if (!e)\n",
	+ " e = window.event;\n",
	+ " if (e.target)\n",
	+ " targ = e.target;\n",
	+ " else if (e.srcElement)\n",
	+ " targ = e.srcElement;\n",
	+ " if (targ.nodeType == 3) // defeat Safari bug\n",
	+ " targ = targ.parentNode;\n",
	+ "\n",
	+ " // jQuery normalizes the pageX and pageY\n",
	+ " // pageX,Y are the mouse positions relative to the document\n",
	+ " // offset() returns the position of the element relative to the document\n",
	+ " var x = e.pageX - $(targ).offset().left;\n",
	+ " var y = e.pageY - $(targ).offset().top;\n",
	+ "\n",
	+ " return {\"x\": x, \"y\": y};\n",
	+ "};\n",
	+ "\n",
	+ "/*\n",
	+ " * return a copy of an object with only non-object keys\n",
	+ " * we need this to avoid circular references\n",
	+ " * http://stackoverflow.com/a/24161582/3208463\n",
	+ " */\n",
	+ "function simpleKeys (original) {\n",
	+ " return Object.keys(original).reduce(function (obj, key) {\n",
	+ " if (typeof original[key] !== 'object')\n",
	+ " obj[key] = original[key]\n",
	+ " return obj;\n",
	+ " }, {});\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.mouse_event = function(event, name) {\n",
	+ " var canvas_pos = mpl.findpos(event)\n",
	+ "\n",
	+ " if (name === 'button_press')\n",
	+ " {\n",
	+ " this.canvas.focus();\n",
	+ " this.canvas_div.focus();\n",
	+ " }\n",
	+ "\n",
	+ " var x = canvas_pos.x * mpl.ratio;\n",
	+ " var y = canvas_pos.y * mpl.ratio;\n",
	+ "\n",
	+ " this.send_message(name, {x: x, y: y, button: event.button,\n",
	+ " step: event.step,\n",
	+ " guiEvent: simpleKeys(event)});\n",
	+ "\n",
	+ " /* This prevents the web browser from automatically changing to\n",
	+ " * the text insertion cursor when the button is pressed. We want\n",
	+ " * to control all of the cursor setting manually through the\n",
	+ " * 'cursor' event from matplotlib */\n",
	+ " event.preventDefault();\n",
	+ " return false;\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
	+ " // Handle any extra behaviour associated with a key event\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.key_event = function(event, name) {\n",
	+ "\n",
	+ " // Prevent repeat events\n",
	+ " if (name == 'key_press')\n",
	+ " {\n",
	+ " if (event.which === this._key)\n",
	+ " return;\n",
	+ " else\n",
	+ " this._key = event.which;\n",
	+ " }\n",
	+ " if (name == 'key_release')\n",
	+ " this._key = null;\n",
	+ "\n",
	+ " var value = '';\n",
	+ " if (event.ctrlKey && event.which != 17)\n",
	+ " value += \"ctrl+\";\n",
	+ " if (event.altKey && event.which != 18)\n",
	+ " value += \"alt+\";\n",
	+ " if (event.shiftKey && event.which != 16)\n",
	+ " value += \"shift+\";\n",
	+ "\n",
	+ " value += 'k';\n",
	+ " value += event.which.toString();\n",
	+ "\n",
	+ " this._key_event_extra(event, name);\n",
	+ "\n",
	+ " this.send_message(name, {key: value,\n",
	+ " guiEvent: simpleKeys(event)});\n",
	+ " return false;\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
	+ " if (name == 'download') {\n",
	+ " this.handle_save(this, null);\n",
	+ " } else {\n",
	+ " this.send_message(\"toolbar_button\", {name: name});\n",
	+ " }\n",
	+ "};\n",
	+ "\n",
	+ "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
	+ " this.message.textContent = tooltip;\n",
	+ "};\n",
	+ "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
	+ "\n",
	+ "mpl.extensions = [\"eps\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\n",
	+ "\n",
	+ "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
	+ " // Create a \"websocket\"-like object which calls the given IPython comm\n",
	+ " // object with the appropriate methods. Currently this is a non binary\n",
	+ " // socket, so there is still some room for performance tuning.\n",
	+ " var ws = {};\n",
	+ "\n",
	+ " ws.close = function() {\n",
	+ " comm.close()\n",
	+ " };\n",
	+ " ws.send = function(m) {\n",
	+ " //console.log('sending', m);\n",
	+ " comm.send(m);\n",
	+ " };\n",
	+ " // Register the callback with on_msg.\n",
	+ " comm.on_msg(function(msg) {\n",
	+ " //console.log('receiving', msg['content']['data'], msg);\n",
	+ " // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
	+ " ws.onmessage(msg['content']['data'])\n",
	+ " });\n",
	+ " return ws;\n",
	+ "}\n",
	+ "\n",
	+ "mpl.mpl_figure_comm = function(comm, msg) {\n",
	+ " // This is the function which gets called when the mpl process\n",
	+ " // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
	+ "\n",
	+ " var id = msg.content.data.id;\n",
	+ " // Get hold of the div created by the display call when the Comm\n",
	+ " // socket was opened in Python.\n",
	+ " var element = $(\"#\" + id);\n",
	+ " var ws_proxy = comm_websocket_adapter(comm)\n",
	+ "\n",
	+ " function ondownload(figure, format) {\n",
	+ " window.open(figure.imageObj.src);\n",
	+ " }\n",
	+ "\n",
	+ " var fig = new mpl.figure(id, ws_proxy,\n",
	+ " ondownload,\n",
	+ " element.get(0));\n",
	+ "\n",
	+ " // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
	+ " // web socket which is closed, not our websocket->open comm proxy.\n",
	+ " ws_proxy.onopen();\n",
	+ "\n",
	+ " fig.parent_element = element.get(0);\n",
	+ " fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
	+ " if (!fig.cell_info) {\n",
	+ " console.error(\"Failed to find cell for figure\", id, fig);\n",
	+ " return;\n",
	+ " }\n",
	+ "\n",
	+ " var output_index = fig.cell_info[2]\n",
	+ " var cell = fig.cell_info[0];\n",
	+ "\n",
	+ "};\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
	+ " var width = fig.canvas.width/mpl.ratio\n",
	+ " fig.root.unbind('remove')\n",
	+ "\n",
	+ " // Update the output cell to use the data from the current canvas.\n",
	+ " fig.push_to_output();\n",
	+ " var dataURL = fig.canvas.toDataURL();\n",
	+ " // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
	+ " // the notebook keyboard shortcuts fail.\n",
	+ " IPython.keyboard_manager.enable()\n",
	+ " $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
	+ " fig.close_ws(fig, msg);\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.close_ws = function(fig, msg){\n",
	+ " fig.send_message('closing', msg);\n",
	+ " // fig.ws.close()\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
	+ " // Turn the data on the canvas into data in the output cell.\n",
	+ " var width = this.canvas.width/mpl.ratio\n",
	+ " var dataURL = this.canvas.toDataURL();\n",
	+ " this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.updated_canvas_event = function() {\n",
	+ " // Tell IPython that the notebook contents must change.\n",
	+ " IPython.notebook.set_dirty(true);\n",
	+ " this.send_message(\"ack\", {});\n",
	+ " var fig = this;\n",
	+ " // Wait a second, then push the new image to the DOM so\n",
	+ " // that it is saved nicely (might be nice to debounce this).\n",
	+ " setTimeout(function () { fig.push_to_output() }, 1000);\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._init_toolbar = function() {\n",
	+ " var fig = this;\n",
	+ "\n",
	+ " var nav_element = $('<div/>')\n",
	+ " nav_element.attr('style', 'width: 100%');\n",
	+ " this.root.append(nav_element);\n",
	+ "\n",
	+ " // Define a callback function for later on.\n",
	+ " function toolbar_event(event) {\n",
	+ " return fig.toolbar_button_onclick(event['data']);\n",
	+ " }\n",
	+ " function toolbar_mouse_event(event) {\n",
	+ " return fig.toolbar_button_onmouseover(event['data']);\n",
	+ " }\n",
	+ "\n",
	+ " for(var toolbar_ind in mpl.toolbar_items){\n",
	+ " var name = mpl.toolbar_items[toolbar_ind][0];\n",
	+ " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
	+ " var image = mpl.toolbar_items[toolbar_ind][2];\n",
	+ " var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
	+ "\n",
	+ " if (!name) { continue; };\n",
	+ "\n",
	+ " var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
	+ " button.click(method_name, toolbar_event);\n",
	+ " button.mouseover(tooltip, toolbar_mouse_event);\n",
	+ " nav_element.append(button);\n",
	+ " }\n",
	+ "\n",
	+ " // Add the status bar.\n",
	+ " var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
	+ " nav_element.append(status_bar);\n",
	+ " this.message = status_bar[0];\n",
	+ "\n",
	+ " // Add the close button to the window.\n",
	+ " var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
	+ " var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
	+ " button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
	+ " button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
	+ " buttongrp.append(button);\n",
	+ " var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
	+ " titlebar.prepend(buttongrp);\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._root_extra_style = function(el){\n",
	+ " var fig = this\n",
	+ " el.on(\"remove\", function(){\n",
	+ "\tfig.close_ws(fig, {});\n",
	+ " });\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._canvas_extra_style = function(el){\n",
	+ " // this is important to make the div 'focusable\n",
	+ " el.attr('tabindex', 0)\n",
	+ " // reach out to IPython and tell the keyboard manager to turn it's self\n",
	+ " // off when our div gets focus\n",
	+ "\n",
	+ " // location in version 3\n",
	+ " if (IPython.notebook.keyboard_manager) {\n",
	+ " IPython.notebook.keyboard_manager.register_events(el);\n",
	+ " }\n",
	+ " else {\n",
	+ " // location in version 2\n",
	+ " IPython.keyboard_manager.register_events(el);\n",
	+ " }\n",
	+ "\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
	+ " var manager = IPython.notebook.keyboard_manager;\n",
	+ " if (!manager)\n",
	+ " manager = IPython.keyboard_manager;\n",
	+ "\n",
	+ " // Check for shift+enter\n",
	+ " if (event.shiftKey && event.which == 13) {\n",
	+ " this.canvas_div.blur();\n",
	+ " event.shiftKey = false;\n",
	+ " // Send a \"J\" for go to next cell\n",
	+ " event.which = 74;\n",
	+ " event.keyCode = 74;\n",
	+ " manager.command_mode();\n",
	+ " manager.handle_keydown(event);\n",
	+ " }\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
	+ " fig.ondownload(fig, null);\n",
	+ "}\n",
	+ "\n",
	+ "\n",
	+ "mpl.find_output_cell = function(html_output) {\n",
	+ " // Return the cell and output element which can be found uniquely in the notebook.\n",
	+ " // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
	+ " // IPython event is triggered only after the cells have been serialised, which for\n",
	+ " // our purposes (turning an active figure into a static one), is too late.\n",
	+ " var cells = IPython.notebook.get_cells();\n",
	+ " var ncells = cells.length;\n",
	+ " for (var i=0; i<ncells; i++) {\n",
	+ " var cell = cells[i];\n",
	+ " if (cell.cell_type === 'code'){\n",
	+ " for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
	+ " var data = cell.output_area.outputs[j];\n",
	+ " if (data.data) {\n",
	+ " // IPython >= 3 moved mimebundle to data attribute of output\n",
	+ " data = data.data;\n",
	+ " }\n",
	+ " if (data['text/html'] == html_output) {\n",
	+ " return [cell, data, j];\n",
	+ " }\n",
	+ " }\n",
	+ " }\n",
	+ " }\n",
	+ "}\n",
	+ "\n",
	+ "// Register the function which deals with the matplotlib target/channel.\n",
	+ "// The kernel may be null if the page has been refreshed.\n",
	+ "if (IPython.notebook.kernel != null) {\n",
	+ " IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
	+ "}\n"
	+ ],
	+ "text/plain": [
	+ "<IPython.core.display.Javascript object>"
	+ ]
	+ },
	+ "metadata": {},
	+ "output_type": "display_data"
	+ },
	+ {
	+ "data": {
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\" width=\"320\">"
	+ ],
	+ "text/plain": [
	+ "<IPython.core.display.HTML object>"
	+ ]
	+ },
	+ "metadata": {},
	+ "output_type": "display_data"
	+ }
	+ ],
	+ "source": [
	+ "plt.figure()\n",
	+ "year_ds.SIS.isel(lon = 5, lat = 5).plot()\n",
	+ "plt.show()"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 10,
	+ "metadata": {},
	+ "outputs": [],
	+ "source": [
	+ "year_ds.to_netcdf('/Users/alinawalch/Downloads/MSG_SIS_H_2016.nc')"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 11,
	+ "metadata": {},
	+ "outputs": [],
	+ "source": [
	+ "tst_ds = xr.open_dataset('/Users/alinawalch/Downloads/MSG_SIS_H_2011.nc')"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 12,
	+ "metadata": {},
	+ "outputs": [
	+ {
	+ "data": {
	+ "application/javascript": [
	+ "/* Put everything inside the global mpl namespace */\n",
	+ "window.mpl = {};\n",
	+ "\n",
	+ "\n",
	+ "mpl.get_websocket_type = function() {\n",
	+ " if (typeof(WebSocket) !== 'undefined') {\n",
	+ " return WebSocket;\n",
	+ " } else if (typeof(MozWebSocket) !== 'undefined') {\n",
	+ " return MozWebSocket;\n",
	+ " } else {\n",
	+ " alert('Your browser does not have WebSocket support.' +\n",
	+ " 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
	+ " 'Firefox 4 and 5 are also supported but you ' +\n",
	+ " 'have to enable WebSockets in about:config.');\n",
	+ " };\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
	+ " this.id = figure_id;\n",
	+ "\n",
	+ " this.ws = websocket;\n",
	+ "\n",
	+ " this.supports_binary = (this.ws.binaryType != undefined);\n",
	+ "\n",
	+ " if (!this.supports_binary) {\n",
	+ " var warnings = document.getElementById(\"mpl-warnings\");\n",
	+ " if (warnings) {\n",
	+ " warnings.style.display = 'block';\n",
	+ " warnings.textContent = (\n",
	+ " \"This browser does not support binary websocket messages. \" +\n",
	+ " \"Performance may be slow.\");\n",
	+ " }\n",
	+ " }\n",
	+ "\n",
	+ " this.imageObj = new Image();\n",
	+ "\n",
	+ " this.context = undefined;\n",
	+ " this.message = undefined;\n",
	+ " this.canvas = undefined;\n",
	+ " this.rubberband_canvas = undefined;\n",
	+ " this.rubberband_context = undefined;\n",
	+ " this.format_dropdown = undefined;\n",
	+ "\n",
	+ " this.image_mode = 'full';\n",
	+ "\n",
	+ " this.root = $('<div/>');\n",
	+ " this._root_extra_style(this.root)\n",
	+ " this.root.attr('style', 'display: inline-block');\n",
	+ "\n",
	+ " $(parent_element).append(this.root);\n",
	+ "\n",
	+ " this._init_header(this);\n",
	+ " this._init_canvas(this);\n",
	+ " this._init_toolbar(this);\n",
	+ "\n",
	+ " var fig = this;\n",
	+ "\n",
	+ " this.waiting = false;\n",
	+ "\n",
	+ " this.ws.onopen = function () {\n",
	+ " fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
	+ " fig.send_message(\"send_image_mode\", {});\n",
	+ " if (mpl.ratio != 1) {\n",
	+ " fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
	+ " }\n",
	+ " fig.send_message(\"refresh\", {});\n",
	+ " }\n",
	+ "\n",
	+ " this.imageObj.onload = function() {\n",
	+ " if (fig.image_mode == 'full') {\n",
	+ " // Full images could contain transparency (where diff images\n",
	+ " // almost always do), so we need to clear the canvas so that\n",
	+ " // there is no ghosting.\n",
	+ " fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
	+ " }\n",
	+ " fig.context.drawImage(fig.imageObj, 0, 0);\n",
	+ " };\n",
	+ "\n",
	+ " this.imageObj.onunload = function() {\n",
	+ " fig.ws.close();\n",
	+ " }\n",
	+ "\n",
	+ " this.ws.onmessage = this._make_on_message_function(this);\n",
	+ "\n",
	+ " this.ondownload = ondownload;\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._init_header = function() {\n",
	+ " var titlebar = $(\n",
	+ " '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
	+ " 'ui-helper-clearfix\"/>');\n",
	+ " var titletext = $(\n",
	+ " '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
	+ " 'text-align: center; padding: 3px;\"/>');\n",
	+ " titlebar.append(titletext)\n",
	+ " this.root.append(titlebar);\n",
	+ " this.header = titletext[0];\n",
	+ "}\n",
	+ "\n",
	+ "\n",
	+ "\n",
	+ "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
	+ "\n",
	+ "}\n",
	+ "\n",
	+ "\n",
	+ "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
	+ "\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._init_canvas = function() {\n",
	+ " var fig = this;\n",
	+ "\n",
	+ " var canvas_div = $('<div/>');\n",
	+ "\n",
	+ " canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
	+ "\n",
	+ " function canvas_keyboard_event(event) {\n",
	+ " return fig.key_event(event, event['data']);\n",
	+ " }\n",
	+ "\n",
	+ " canvas_div.keydown('key_press', canvas_keyboard_event);\n",
	+ " canvas_div.keyup('key_release', canvas_keyboard_event);\n",
	+ " this.canvas_div = canvas_div\n",
	+ " this._canvas_extra_style(canvas_div)\n",
	+ " this.root.append(canvas_div);\n",
	+ "\n",
	+ " var canvas = $('<canvas/>');\n",
	+ " canvas.addClass('mpl-canvas');\n",
	+ " canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
	+ "\n",
	+ " this.canvas = canvas[0];\n",
	+ " this.context = canvas[0].getContext(\"2d\");\n",
	+ "\n",
	+ " var backingStore = this.context.backingStorePixelRatio \|\|\n",
	+ "\tthis.context.webkitBackingStorePixelRatio \|\|\n",
	+ "\tthis.context.mozBackingStorePixelRatio \|\|\n",
	+ "\tthis.context.msBackingStorePixelRatio \|\|\n",
	+ "\tthis.context.oBackingStorePixelRatio \|\|\n",
	+ "\tthis.context.backingStorePixelRatio \|\| 1;\n",
	+ "\n",
	+ " mpl.ratio = (window.devicePixelRatio \|\| 1) / backingStore;\n",
	+ "\n",
	+ " var rubberband = $('<canvas/>');\n",
	+ " rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
	+ "\n",
	+ " var pass_mouse_events = true;\n",
	+ "\n",
	+ " canvas_div.resizable({\n",
	+ " start: function(event, ui) {\n",
	+ " pass_mouse_events = false;\n",
	+ " },\n",
	+ " resize: function(event, ui) {\n",
	+ " fig.request_resize(ui.size.width, ui.size.height);\n",
	+ " },\n",
	+ " stop: function(event, ui) {\n",
	+ " pass_mouse_events = true;\n",
	+ " fig.request_resize(ui.size.width, ui.size.height);\n",
	+ " },\n",
	+ " });\n",
	+ "\n",
	+ " function mouse_event_fn(event) {\n",
	+ " if (pass_mouse_events)\n",
	+ " return fig.mouse_event(event, event['data']);\n",
	+ " }\n",
	+ "\n",
	+ " rubberband.mousedown('button_press', mouse_event_fn);\n",
	+ " rubberband.mouseup('button_release', mouse_event_fn);\n",
	+ " // Throttle sequential mouse events to 1 every 20ms.\n",
	+ " rubberband.mousemove('motion_notify', mouse_event_fn);\n",
	+ "\n",
	+ " rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
	+ " rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
	+ "\n",
	+ " canvas_div.on(\"wheel\", function (event) {\n",
	+ " event = event.originalEvent;\n",
	+ " event['data'] = 'scroll'\n",
	+ " if (event.deltaY < 0) {\n",
	+ " event.step = 1;\n",
	+ " } else {\n",
	+ " event.step = -1;\n",
	+ " }\n",
	+ " mouse_event_fn(event);\n",
	+ " });\n",
	+ "\n",
	+ " canvas_div.append(canvas);\n",
	+ " canvas_div.append(rubberband);\n",
	+ "\n",
	+ " this.rubberband = rubberband;\n",
	+ " this.rubberband_canvas = rubberband[0];\n",
	+ " this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
	+ " this.rubberband_context.strokeStyle = \"#000000\";\n",
	+ "\n",
	+ " this._resize_canvas = function(width, height) {\n",
	+ " // Keep the size of the canvas, canvas container, and rubber band\n",
	+ " // canvas in synch.\n",
	+ " canvas_div.css('width', width)\n",
	+ " canvas_div.css('height', height)\n",
	+ "\n",
	+ " canvas.attr('width', width * mpl.ratio);\n",
	+ " canvas.attr('height', height * mpl.ratio);\n",
	+ " canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
	+ "\n",
	+ " rubberband.attr('width', width);\n",
	+ " rubberband.attr('height', height);\n",
	+ " }\n",
	+ "\n",
	+ " // Set the figure to an initial 600x600px, this will subsequently be updated\n",
	+ " // upon first draw.\n",
	+ " this._resize_canvas(600, 600);\n",
	+ "\n",
	+ " // Disable right mouse context menu.\n",
	+ " $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
	+ " return false;\n",
	+ " });\n",
	+ "\n",
	+ " function set_focus () {\n",
	+ " canvas.focus();\n",
	+ " canvas_div.focus();\n",
	+ " }\n",
	+ "\n",
	+ " window.setTimeout(set_focus, 100);\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._init_toolbar = function() {\n",
	+ " var fig = this;\n",
	+ "\n",
	+ " var nav_element = $('<div/>')\n",
	+ " nav_element.attr('style', 'width: 100%');\n",
	+ " this.root.append(nav_element);\n",
	+ "\n",
	+ " // Define a callback function for later on.\n",
	+ " function toolbar_event(event) {\n",
	+ " return fig.toolbar_button_onclick(event['data']);\n",
	+ " }\n",
	+ " function toolbar_mouse_event(event) {\n",
	+ " return fig.toolbar_button_onmouseover(event['data']);\n",
	+ " }\n",
	+ "\n",
	+ " for(var toolbar_ind in mpl.toolbar_items) {\n",
	+ " var name = mpl.toolbar_items[toolbar_ind][0];\n",
	+ " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
	+ " var image = mpl.toolbar_items[toolbar_ind][2];\n",
	+ " var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
	+ "\n",
	+ " if (!name) {\n",
	+ " // put a spacer in here.\n",
	+ " continue;\n",
	+ " }\n",
	+ " var button = $('<button/>');\n",
	+ " button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
	+ " 'ui-button-icon-only');\n",
	+ " button.attr('role', 'button');\n",
	+ " button.attr('aria-disabled', 'false');\n",
	+ " button.click(method_name, toolbar_event);\n",
	+ " button.mouseover(tooltip, toolbar_mouse_event);\n",
	+ "\n",
	+ " var icon_img = $('<span/>');\n",
	+ " icon_img.addClass('ui-button-icon-primary ui-icon');\n",
	+ " icon_img.addClass(image);\n",
	+ " icon_img.addClass('ui-corner-all');\n",
	+ "\n",
	+ " var tooltip_span = $('<span/>');\n",
	+ " tooltip_span.addClass('ui-button-text');\n",
	+ " tooltip_span.html(tooltip);\n",
	+ "\n",
	+ " button.append(icon_img);\n",
	+ " button.append(tooltip_span);\n",
	+ "\n",
	+ " nav_element.append(button);\n",
	+ " }\n",
	+ "\n",
	+ " var fmt_picker_span = $('<span/>');\n",
	+ "\n",
	+ " var fmt_picker = $('<select/>');\n",
	+ " fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
	+ " fmt_picker_span.append(fmt_picker);\n",
	+ " nav_element.append(fmt_picker_span);\n",
	+ " this.format_dropdown = fmt_picker[0];\n",
	+ "\n",
	+ " for (var ind in mpl.extensions) {\n",
	+ " var fmt = mpl.extensions[ind];\n",
	+ " var option = $(\n",
	+ " '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
	+ " fmt_picker.append(option)\n",
	+ " }\n",
	+ "\n",
	+ " // Add hover states to the ui-buttons\n",
	+ " $( \".ui-button\" ).hover(\n",
	+ " function() { $(this).addClass(\"ui-state-hover\");},\n",
	+ " function() { $(this).removeClass(\"ui-state-hover\");}\n",
	+ " );\n",
	+ "\n",
	+ " var status_bar = $('<span class=\"mpl-message\"/>');\n",
	+ " nav_element.append(status_bar);\n",
	+ " this.message = status_bar[0];\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
	+ " // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
	+ " // which will in turn request a refresh of the image.\n",
	+ " this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.send_message = function(type, properties) {\n",
	+ " properties['type'] = type;\n",
	+ " properties['figure_id'] = this.id;\n",
	+ " this.ws.send(JSON.stringify(properties));\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.send_draw_message = function() {\n",
	+ " if (!this.waiting) {\n",
	+ " this.waiting = true;\n",
	+ " this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
	+ " }\n",
	+ "}\n",
	+ "\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
	+ " var format_dropdown = fig.format_dropdown;\n",
	+ " var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
	+ " fig.ondownload(fig, format);\n",
	+ "}\n",
	+ "\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
	+ " var size = msg['size'];\n",
	+ " if (size[0] != fig.canvas.width \|\| size[1] != fig.canvas.height) {\n",
	+ " fig._resize_canvas(size[0], size[1]);\n",
	+ " fig.send_message(\"refresh\", {});\n",
	+ " };\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
	+ " var x0 = msg['x0'] / mpl.ratio;\n",
	+ " var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
	+ " var x1 = msg['x1'] / mpl.ratio;\n",
	+ " var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
	+ " x0 = Math.floor(x0) + 0.5;\n",
	+ " y0 = Math.floor(y0) + 0.5;\n",
	+ " x1 = Math.floor(x1) + 0.5;\n",
	+ " y1 = Math.floor(y1) + 0.5;\n",
	+ " var min_x = Math.min(x0, x1);\n",
	+ " var min_y = Math.min(y0, y1);\n",
	+ " var width = Math.abs(x1 - x0);\n",
	+ " var height = Math.abs(y1 - y0);\n",
	+ "\n",
	+ " fig.rubberband_context.clearRect(\n",
	+ " 0, 0, fig.canvas.width, fig.canvas.height);\n",
	+ "\n",
	+ " fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
	+ " // Updates the figure title.\n",
	+ " fig.header.textContent = msg['label'];\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
	+ " var cursor = msg['cursor'];\n",
	+ " switch(cursor)\n",
	+ " {\n",
	+ " case 0:\n",
	+ " cursor = 'pointer';\n",
	+ " break;\n",
	+ " case 1:\n",
	+ " cursor = 'default';\n",
	+ " break;\n",
	+ " case 2:\n",
	+ " cursor = 'crosshair';\n",
	+ " break;\n",
	+ " case 3:\n",
	+ " cursor = 'move';\n",
	+ " break;\n",
	+ " }\n",
	+ " fig.rubberband_canvas.style.cursor = cursor;\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
	+ " fig.message.textContent = msg['message'];\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
	+ " // Request the server to send over a new figure.\n",
	+ " fig.send_draw_message();\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
	+ " fig.image_mode = msg['mode'];\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.updated_canvas_event = function() {\n",
	+ " // Called whenever the canvas gets updated.\n",
	+ " this.send_message(\"ack\", {});\n",
	+ "}\n",
	+ "\n",
	+ "// A function to construct a web socket function for onmessage handling.\n",
	+ "// Called in the figure constructor.\n",
	+ "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
	+ " return function socket_on_message(evt) {\n",
	+ " if (evt.data instanceof Blob) {\n",
	+ " /* FIXME: We get \"Resource interpreted as Image but\n",
	+ " * transferred with MIME type text/plain:\" errors on\n",
	+ " * Chrome. But how to set the MIME type? It doesn't seem\n",
	+ " * to be part of the websocket stream */\n",
	+ " evt.data.type = \"image/png\";\n",
	+ "\n",
	+ " /* Free the memory for the previous frames */\n",
	+ " if (fig.imageObj.src) {\n",
	+ " (window.URL \|\| window.webkitURL).revokeObjectURL(\n",
	+ " fig.imageObj.src);\n",
	+ " }\n",
	+ "\n",
	+ " fig.imageObj.src = (window.URL \|\| window.webkitURL).createObjectURL(\n",
	+ " evt.data);\n",
	+ " fig.updated_canvas_event();\n",
	+ " fig.waiting = false;\n",
	+ " return;\n",
	+ " }\n",
	+ " else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
	+ " fig.imageObj.src = evt.data;\n",
	+ " fig.updated_canvas_event();\n",
	+ " fig.waiting = false;\n",
	+ " return;\n",
	+ " }\n",
	+ "\n",
	+ " var msg = JSON.parse(evt.data);\n",
	+ " var msg_type = msg['type'];\n",
	+ "\n",
	+ " // Call the \"handle_{type}\" callback, which takes\n",
	+ " // the figure and JSON message as its only arguments.\n",
	+ " try {\n",
	+ " var callback = fig[\"handle_\" + msg_type];\n",
	+ " } catch (e) {\n",
	+ " console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
	+ " return;\n",
	+ " }\n",
	+ "\n",
	+ " if (callback) {\n",
	+ " try {\n",
	+ " // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
	+ " callback(fig, msg);\n",
	+ " } catch (e) {\n",
	+ " console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
	+ " }\n",
	+ " }\n",
	+ " };\n",
	+ "}\n",
	+ "\n",
	+ "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
	+ "mpl.findpos = function(e) {\n",
	+ " //this section is from http://www.quirksmode.org/js/events_properties.html\n",
	+ " var targ;\n",
	+ " if (!e)\n",
	+ " e = window.event;\n",
	+ " if (e.target)\n",
	+ " targ = e.target;\n",
	+ " else if (e.srcElement)\n",
	+ " targ = e.srcElement;\n",
	+ " if (targ.nodeType == 3) // defeat Safari bug\n",
	+ " targ = targ.parentNode;\n",
	+ "\n",
	+ " // jQuery normalizes the pageX and pageY\n",
	+ " // pageX,Y are the mouse positions relative to the document\n",
	+ " // offset() returns the position of the element relative to the document\n",
	+ " var x = e.pageX - $(targ).offset().left;\n",
	+ " var y = e.pageY - $(targ).offset().top;\n",
	+ "\n",
	+ " return {\"x\": x, \"y\": y};\n",
	+ "};\n",
	+ "\n",
	+ "/*\n",
	+ " * return a copy of an object with only non-object keys\n",
	+ " * we need this to avoid circular references\n",
	+ " * http://stackoverflow.com/a/24161582/3208463\n",
	+ " */\n",
	+ "function simpleKeys (original) {\n",
	+ " return Object.keys(original).reduce(function (obj, key) {\n",
	+ " if (typeof original[key] !== 'object')\n",
	+ " obj[key] = original[key]\n",
	+ " return obj;\n",
	+ " }, {});\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.mouse_event = function(event, name) {\n",
	+ " var canvas_pos = mpl.findpos(event)\n",
	+ "\n",
	+ " if (name === 'button_press')\n",
	+ " {\n",
	+ " this.canvas.focus();\n",
	+ " this.canvas_div.focus();\n",
	+ " }\n",
	+ "\n",
	+ " var x = canvas_pos.x * mpl.ratio;\n",
	+ " var y = canvas_pos.y * mpl.ratio;\n",
	+ "\n",
	+ " this.send_message(name, {x: x, y: y, button: event.button,\n",
	+ " step: event.step,\n",
	+ " guiEvent: simpleKeys(event)});\n",
	+ "\n",
	+ " /* This prevents the web browser from automatically changing to\n",
	+ " * the text insertion cursor when the button is pressed. We want\n",
	+ " * to control all of the cursor setting manually through the\n",
	+ " * 'cursor' event from matplotlib */\n",
	+ " event.preventDefault();\n",
	+ " return false;\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
	+ " // Handle any extra behaviour associated with a key event\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.key_event = function(event, name) {\n",
	+ "\n",
	+ " // Prevent repeat events\n",
	+ " if (name == 'key_press')\n",
	+ " {\n",
	+ " if (event.which === this._key)\n",
	+ " return;\n",
	+ " else\n",
	+ " this._key = event.which;\n",
	+ " }\n",
	+ " if (name == 'key_release')\n",
	+ " this._key = null;\n",
	+ "\n",
	+ " var value = '';\n",
	+ " if (event.ctrlKey && event.which != 17)\n",
	+ " value += \"ctrl+\";\n",
	+ " if (event.altKey && event.which != 18)\n",
	+ " value += \"alt+\";\n",
	+ " if (event.shiftKey && event.which != 16)\n",
	+ " value += \"shift+\";\n",
	+ "\n",
	+ " value += 'k';\n",
	+ " value += event.which.toString();\n",
	+ "\n",
	+ " this._key_event_extra(event, name);\n",
	+ "\n",
	+ " this.send_message(name, {key: value,\n",
	+ " guiEvent: simpleKeys(event)});\n",
	+ " return false;\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
	+ " if (name == 'download') {\n",
	+ " this.handle_save(this, null);\n",
	+ " } else {\n",
	+ " this.send_message(\"toolbar_button\", {name: name});\n",
	+ " }\n",
	+ "};\n",
	+ "\n",
	+ "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
	+ " this.message.textContent = tooltip;\n",
	+ "};\n",
	+ "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
	+ "\n",
	+ "mpl.extensions = [\"eps\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\n",
	+ "\n",
	+ "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
	+ " // Create a \"websocket\"-like object which calls the given IPython comm\n",
	+ " // object with the appropriate methods. Currently this is a non binary\n",
	+ " // socket, so there is still some room for performance tuning.\n",
	+ " var ws = {};\n",
	+ "\n",
	+ " ws.close = function() {\n",
	+ " comm.close()\n",
	+ " };\n",
	+ " ws.send = function(m) {\n",
	+ " //console.log('sending', m);\n",
	+ " comm.send(m);\n",
	+ " };\n",
	+ " // Register the callback with on_msg.\n",
	+ " comm.on_msg(function(msg) {\n",
	+ " //console.log('receiving', msg['content']['data'], msg);\n",
	+ " // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
	+ " ws.onmessage(msg['content']['data'])\n",
	+ " });\n",
	+ " return ws;\n",
	+ "}\n",
	+ "\n",
	+ "mpl.mpl_figure_comm = function(comm, msg) {\n",
	+ " // This is the function which gets called when the mpl process\n",
	+ " // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
	+ "\n",
	+ " var id = msg.content.data.id;\n",
	+ " // Get hold of the div created by the display call when the Comm\n",
	+ " // socket was opened in Python.\n",
	+ " var element = $(\"#\" + id);\n",
	+ " var ws_proxy = comm_websocket_adapter(comm)\n",
	+ "\n",
	+ " function ondownload(figure, format) {\n",
	+ " window.open(figure.imageObj.src);\n",
	+ " }\n",
	+ "\n",
	+ " var fig = new mpl.figure(id, ws_proxy,\n",
	+ " ondownload,\n",
	+ " element.get(0));\n",
	+ "\n",
	+ " // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
	+ " // web socket which is closed, not our websocket->open comm proxy.\n",
	+ " ws_proxy.onopen();\n",
	+ "\n",
	+ " fig.parent_element = element.get(0);\n",
	+ " fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
	+ " if (!fig.cell_info) {\n",
	+ " console.error(\"Failed to find cell for figure\", id, fig);\n",
	+ " return;\n",
	+ " }\n",
	+ "\n",
	+ " var output_index = fig.cell_info[2]\n",
	+ " var cell = fig.cell_info[0];\n",
	+ "\n",
	+ "};\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
	+ " var width = fig.canvas.width/mpl.ratio\n",
	+ " fig.root.unbind('remove')\n",
	+ "\n",
	+ " // Update the output cell to use the data from the current canvas.\n",
	+ " fig.push_to_output();\n",
	+ " var dataURL = fig.canvas.toDataURL();\n",
	+ " // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
	+ " // the notebook keyboard shortcuts fail.\n",
	+ " IPython.keyboard_manager.enable()\n",
	+ " $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
	+ " fig.close_ws(fig, msg);\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.close_ws = function(fig, msg){\n",
	+ " fig.send_message('closing', msg);\n",
	+ " // fig.ws.close()\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
	+ " // Turn the data on the canvas into data in the output cell.\n",
	+ " var width = this.canvas.width/mpl.ratio\n",
	+ " var dataURL = this.canvas.toDataURL();\n",
	+ " this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.updated_canvas_event = function() {\n",
	+ " // Tell IPython that the notebook contents must change.\n",
	+ " IPython.notebook.set_dirty(true);\n",
	+ " this.send_message(\"ack\", {});\n",
	+ " var fig = this;\n",
	+ " // Wait a second, then push the new image to the DOM so\n",
	+ " // that it is saved nicely (might be nice to debounce this).\n",
	+ " setTimeout(function () { fig.push_to_output() }, 1000);\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._init_toolbar = function() {\n",
	+ " var fig = this;\n",
	+ "\n",
	+ " var nav_element = $('<div/>')\n",
	+ " nav_element.attr('style', 'width: 100%');\n",
	+ " this.root.append(nav_element);\n",
	+ "\n",
	+ " // Define a callback function for later on.\n",
	+ " function toolbar_event(event) {\n",
	+ " return fig.toolbar_button_onclick(event['data']);\n",
	+ " }\n",
	+ " function toolbar_mouse_event(event) {\n",
	+ " return fig.toolbar_button_onmouseover(event['data']);\n",
	+ " }\n",
	+ "\n",
	+ " for(var toolbar_ind in mpl.toolbar_items){\n",
	+ " var name = mpl.toolbar_items[toolbar_ind][0];\n",
	+ " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
	+ " var image = mpl.toolbar_items[toolbar_ind][2];\n",
	+ " var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
	+ "\n",
	+ " if (!name) { continue; };\n",
	+ "\n",
	+ " var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
	+ " button.click(method_name, toolbar_event);\n",
	+ " button.mouseover(tooltip, toolbar_mouse_event);\n",
	+ " nav_element.append(button);\n",
	+ " }\n",
	+ "\n",
	+ " // Add the status bar.\n",
	+ " var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
	+ " nav_element.append(status_bar);\n",
	+ " this.message = status_bar[0];\n",
	+ "\n",
	+ " // Add the close button to the window.\n",
	+ " var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
	+ " var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
	+ " button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
	+ " button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
	+ " buttongrp.append(button);\n",
	+ " var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
	+ " titlebar.prepend(buttongrp);\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._root_extra_style = function(el){\n",
	+ " var fig = this\n",
	+ " el.on(\"remove\", function(){\n",
	+ "\tfig.close_ws(fig, {});\n",
	+ " });\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._canvas_extra_style = function(el){\n",
	+ " // this is important to make the div 'focusable\n",
	+ " el.attr('tabindex', 0)\n",
	+ " // reach out to IPython and tell the keyboard manager to turn it's self\n",
	+ " // off when our div gets focus\n",
	+ "\n",
	+ " // location in version 3\n",
	+ " if (IPython.notebook.keyboard_manager) {\n",
	+ " IPython.notebook.keyboard_manager.register_events(el);\n",
	+ " }\n",
	+ " else {\n",
	+ " // location in version 2\n",
	+ " IPython.keyboard_manager.register_events(el);\n",
	+ " }\n",
	+ "\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
	+ " var manager = IPython.notebook.keyboard_manager;\n",
	+ " if (!manager)\n",
	+ " manager = IPython.keyboard_manager;\n",
	+ "\n",
	+ " // Check for shift+enter\n",
	+ " if (event.shiftKey && event.which == 13) {\n",
	+ " this.canvas_div.blur();\n",
	+ " event.shiftKey = false;\n",
	+ " // Send a \"J\" for go to next cell\n",
	+ " event.which = 74;\n",
	+ " event.keyCode = 74;\n",
	+ " manager.command_mode();\n",
	+ " manager.handle_keydown(event);\n",
	+ " }\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
	+ " fig.ondownload(fig, null);\n",
	+ "}\n",
	+ "\n",
	+ "\n",
	+ "mpl.find_output_cell = function(html_output) {\n",
	+ " // Return the cell and output element which can be found uniquely in the notebook.\n",
	+ " // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
	+ " // IPython event is triggered only after the cells have been serialised, which for\n",
	+ " // our purposes (turning an active figure into a static one), is too late.\n",
	+ " var cells = IPython.notebook.get_cells();\n",
	+ " var ncells = cells.length;\n",
	+ " for (var i=0; i<ncells; i++) {\n",
	+ " var cell = cells[i];\n",
	+ " if (cell.cell_type === 'code'){\n",
	+ " for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
	+ " var data = cell.output_area.outputs[j];\n",
	+ " if (data.data) {\n",
	+ " // IPython >= 3 moved mimebundle to data attribute of output\n",
	+ " data = data.data;\n",
	+ " }\n",
	+ " if (data['text/html'] == html_output) {\n",
	+ " return [cell, data, j];\n",
	+ " }\n",
	+ " }\n",
	+ " }\n",
	+ " }\n",
	+ "}\n",
	+ "\n",
	+ "// Register the function which deals with the matplotlib target/channel.\n",
	+ "// The kernel may be null if the page has been refreshed.\n",
	+ "if (IPython.notebook.kernel != null) {\n",
	+ " IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
	+ "}\n"
	+ ],
	+ "text/plain": [
	+ "<IPython.core.display.Javascript object>"
	+ ]
	+ },
	+ "metadata": {},
	+ "output_type": "display_data"
	+ },
	+ {
	+ "data": {
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\" width=\"320\">"
	+ ],
	+ "text/plain": [
	+ "<IPython.core.display.HTML object>"
	+ ]
	+ },
	+ "metadata": {},
	+ "output_type": "display_data"
	+ }
	+ ],
	+ "source": [
	+ "plt.figure()\n",
	+ "tst_ds.SIS.isel(lon = 5, lat = 5).plot()\n",
	+ "plt.show()"
	+ ]
	+ },
	+ {
	+ "cell_type": "markdown",
	+ "metadata": {},
	+ "source": [
	+ "### Steps 2-4: executed in GRASS - DONE in grass workspace_prepare_ML"
	+ ]
	+ },
	+ {
	+ "cell_type": "markdown",
	+ "metadata": {},
	+ "source": [
	+ "### Step 5:\n",
	+ "Still needs to be applied to all files in /scratch/walch/grassgis/scripts/executables/workspace_prepare_ML/yearly_files"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 2,
	+ "metadata": {},
	+ "outputs": [],
	+ "source": [
	+ "YEAR = 2004"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 3,
	+ "metadata": {},
	+ "outputs": [],
	+ "source": [
	+ "# Reference file:\n",
	+ "ref = ('/Users/alinawalch/Downloads/RhiresD_ch01r.swisscors_%d01010000_%d12310000.nc' %(YEAR, YEAR))\n",
	+ "ref = xr.open_dataset(ref)"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 4,
	+ "metadata": {},
	+ "outputs": [],
	+ "source": [
	+ "proj_ds = xr.open_dataset('/Users/alinawalch/Downloads/MSG_SIS_D_%d_nearest.nc' %YEAR)"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 5,
	+ "metadata": {},
	+ "outputs": [
	+ {
	+ "data": {
	+ "text/plain": [
	+ "<xarray.Dataset>\n",
	+ "Dimensions: (time: 366, x: 370, y: 240)\n",
	+ "Coordinates:\n",
	+ " * x (x) float32 474500.0 475500.0 476500.0 ... 842500.0 843500.0\n",
	+ " * y (y) float32 303500.0 302500.0 301500.0 ... 65500.0 64500.0\n",
	+ " * time (time) float32 0.5 1.5 2.5 3.5 4.5 ... 362.5 363.5 364.5 365.5\n",
	+ "Data variables:\n",
	+ " crs \|S1 ...\n",
	+ " SIS_D_2004 (time, y, x) float64 ...\n",
	+ "Attributes:\n",
	+ " Conventions: CF-1.5\n",
	+ " history: GRASS GIS 7 netCDF export of r3.out.netcdf"
	+ ]
	+ },
	+ "execution_count": 5,
	+ "metadata": {},
	+ "output_type": "execute_result"
	+ }
	+ ],
	+ "source": [
	+ "proj_ds.rename({ 'z' : 'time' }, inplace = True)"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 6,
	+ "metadata": {},
	+ "outputs": [],
	+ "source": [
	+ "proj_ds.coords['time'] = ref.time"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 7,
	+ "metadata": {},
	+ "outputs": [],
	+ "source": [
	+ "mask_array = ref.RhiresD.isel(time = 0).values * 0 + 1\n",
	+ "CH_mask = xr.DataArray(np.flip(mask_array, axis = 0), coords = [proj_ds.y, proj_ds.x])\n",
	+ "proj_ds['SIS_CH'] = proj_ds[('SIS_D_%d' %YEAR)].where(CH_mask == 1)"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": null,
	+ "metadata": {},
	+ "outputs": [],
	+ "source": []
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 8,
	+ "metadata": {},
	+ "outputs": [],
	+ "source": [
	+ "ds_out = proj_ds.drop('SIS_D_%d' %YEAR)"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 9,
	+ "metadata": {},
	+ "outputs": [
	+ {
	+ "data": {
	+ "application/javascript": [
	+ "/* Put everything inside the global mpl namespace */\n",
	+ "window.mpl = {};\n",
	+ "\n",
	+ "\n",
	+ "mpl.get_websocket_type = function() {\n",
	+ " if (typeof(WebSocket) !== 'undefined') {\n",
	+ " return WebSocket;\n",
	+ " } else if (typeof(MozWebSocket) !== 'undefined') {\n",
	+ " return MozWebSocket;\n",
	+ " } else {\n",
	+ " alert('Your browser does not have WebSocket support.' +\n",
	+ " 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
	+ " 'Firefox 4 and 5 are also supported but you ' +\n",
	+ " 'have to enable WebSockets in about:config.');\n",
	+ " };\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
	+ " this.id = figure_id;\n",
	+ "\n",
	+ " this.ws = websocket;\n",
	+ "\n",
	+ " this.supports_binary = (this.ws.binaryType != undefined);\n",
	+ "\n",
	+ " if (!this.supports_binary) {\n",
	+ " var warnings = document.getElementById(\"mpl-warnings\");\n",
	+ " if (warnings) {\n",
	+ " warnings.style.display = 'block';\n",
	+ " warnings.textContent = (\n",
	+ " \"This browser does not support binary websocket messages. \" +\n",
	+ " \"Performance may be slow.\");\n",
	+ " }\n",
	+ " }\n",
	+ "\n",
	+ " this.imageObj = new Image();\n",
	+ "\n",
	+ " this.context = undefined;\n",
	+ " this.message = undefined;\n",
	+ " this.canvas = undefined;\n",
	+ " this.rubberband_canvas = undefined;\n",
	+ " this.rubberband_context = undefined;\n",
	+ " this.format_dropdown = undefined;\n",
	+ "\n",
	+ " this.image_mode = 'full';\n",
	+ "\n",
	+ " this.root = $('<div/>');\n",
	+ " this._root_extra_style(this.root)\n",
	+ " this.root.attr('style', 'display: inline-block');\n",
	+ "\n",
	+ " $(parent_element).append(this.root);\n",
	+ "\n",
	+ " this._init_header(this);\n",
	+ " this._init_canvas(this);\n",
	+ " this._init_toolbar(this);\n",
	+ "\n",
	+ " var fig = this;\n",
	+ "\n",
	+ " this.waiting = false;\n",
	+ "\n",
	+ " this.ws.onopen = function () {\n",
	+ " fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
	+ " fig.send_message(\"send_image_mode\", {});\n",
	+ " if (mpl.ratio != 1) {\n",
	+ " fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
	+ " }\n",
	+ " fig.send_message(\"refresh\", {});\n",
	+ " }\n",
	+ "\n",
	+ " this.imageObj.onload = function() {\n",
	+ " if (fig.image_mode == 'full') {\n",
	+ " // Full images could contain transparency (where diff images\n",
	+ " // almost always do), so we need to clear the canvas so that\n",
	+ " // there is no ghosting.\n",
	+ " fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
	+ " }\n",
	+ " fig.context.drawImage(fig.imageObj, 0, 0);\n",
	+ " };\n",
	+ "\n",
	+ " this.imageObj.onunload = function() {\n",
	+ " fig.ws.close();\n",
	+ " }\n",
	+ "\n",
	+ " this.ws.onmessage = this._make_on_message_function(this);\n",
	+ "\n",
	+ " this.ondownload = ondownload;\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._init_header = function() {\n",
	+ " var titlebar = $(\n",
	+ " '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
	+ " 'ui-helper-clearfix\"/>');\n",
	+ " var titletext = $(\n",
	+ " '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
	+ " 'text-align: center; padding: 3px;\"/>');\n",
	+ " titlebar.append(titletext)\n",
	+ " this.root.append(titlebar);\n",
	+ " this.header = titletext[0];\n",
	+ "}\n",
	+ "\n",
	+ "\n",
	+ "\n",
	+ "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
	+ "\n",
	+ "}\n",
	+ "\n",
	+ "\n",
	+ "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
	+ "\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._init_canvas = function() {\n",
	+ " var fig = this;\n",
	+ "\n",
	+ " var canvas_div = $('<div/>');\n",
	+ "\n",
	+ " canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
	+ "\n",
	+ " function canvas_keyboard_event(event) {\n",
	+ " return fig.key_event(event, event['data']);\n",
	+ " }\n",
	+ "\n",
	+ " canvas_div.keydown('key_press', canvas_keyboard_event);\n",
	+ " canvas_div.keyup('key_release', canvas_keyboard_event);\n",
	+ " this.canvas_div = canvas_div\n",
	+ " this._canvas_extra_style(canvas_div)\n",
	+ " this.root.append(canvas_div);\n",
	+ "\n",
	+ " var canvas = $('<canvas/>');\n",
	+ " canvas.addClass('mpl-canvas');\n",
	+ " canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
	+ "\n",
	+ " this.canvas = canvas[0];\n",
	+ " this.context = canvas[0].getContext(\"2d\");\n",
	+ "\n",
	+ " var backingStore = this.context.backingStorePixelRatio \|\|\n",
	+ "\tthis.context.webkitBackingStorePixelRatio \|\|\n",
	+ "\tthis.context.mozBackingStorePixelRatio \|\|\n",
	+ "\tthis.context.msBackingStorePixelRatio \|\|\n",
	+ "\tthis.context.oBackingStorePixelRatio \|\|\n",
	+ "\tthis.context.backingStorePixelRatio \|\| 1;\n",
	+ "\n",
	+ " mpl.ratio = (window.devicePixelRatio \|\| 1) / backingStore;\n",
	+ "\n",
	+ " var rubberband = $('<canvas/>');\n",
	+ " rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
	+ "\n",
	+ " var pass_mouse_events = true;\n",
	+ "\n",
	+ " canvas_div.resizable({\n",
	+ " start: function(event, ui) {\n",
	+ " pass_mouse_events = false;\n",
	+ " },\n",
	+ " resize: function(event, ui) {\n",
	+ " fig.request_resize(ui.size.width, ui.size.height);\n",
	+ " },\n",
	+ " stop: function(event, ui) {\n",
	+ " pass_mouse_events = true;\n",
	+ " fig.request_resize(ui.size.width, ui.size.height);\n",
	+ " },\n",
	+ " });\n",
	+ "\n",
	+ " function mouse_event_fn(event) {\n",
	+ " if (pass_mouse_events)\n",
	+ " return fig.mouse_event(event, event['data']);\n",
	+ " }\n",
	+ "\n",
	+ " rubberband.mousedown('button_press', mouse_event_fn);\n",
	+ " rubberband.mouseup('button_release', mouse_event_fn);\n",
	+ " // Throttle sequential mouse events to 1 every 20ms.\n",
	+ " rubberband.mousemove('motion_notify', mouse_event_fn);\n",
	+ "\n",
	+ " rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
	+ " rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
	+ "\n",
	+ " canvas_div.on(\"wheel\", function (event) {\n",
	+ " event = event.originalEvent;\n",
	+ " event['data'] = 'scroll'\n",
	+ " if (event.deltaY < 0) {\n",
	+ " event.step = 1;\n",
	+ " } else {\n",
	+ " event.step = -1;\n",
	+ " }\n",
	+ " mouse_event_fn(event);\n",
	+ " });\n",
	+ "\n",
	+ " canvas_div.append(canvas);\n",
	+ " canvas_div.append(rubberband);\n",
	+ "\n",
	+ " this.rubberband = rubberband;\n",
	+ " this.rubberband_canvas = rubberband[0];\n",
	+ " this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
	+ " this.rubberband_context.strokeStyle = \"#000000\";\n",
	+ "\n",
	+ " this._resize_canvas = function(width, height) {\n",
	+ " // Keep the size of the canvas, canvas container, and rubber band\n",
	+ " // canvas in synch.\n",
	+ " canvas_div.css('width', width)\n",
	+ " canvas_div.css('height', height)\n",
	+ "\n",
	+ " canvas.attr('width', width * mpl.ratio);\n",
	+ " canvas.attr('height', height * mpl.ratio);\n",
	+ " canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
	+ "\n",
	+ " rubberband.attr('width', width);\n",
	+ " rubberband.attr('height', height);\n",
	+ " }\n",
	+ "\n",
	+ " // Set the figure to an initial 600x600px, this will subsequently be updated\n",
	+ " // upon first draw.\n",
	+ " this._resize_canvas(600, 600);\n",
	+ "\n",
	+ " // Disable right mouse context menu.\n",
	+ " $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
	+ " return false;\n",
	+ " });\n",
	+ "\n",
	+ " function set_focus () {\n",
	+ " canvas.focus();\n",
	+ " canvas_div.focus();\n",
	+ " }\n",
	+ "\n",
	+ " window.setTimeout(set_focus, 100);\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._init_toolbar = function() {\n",
	+ " var fig = this;\n",
	+ "\n",
	+ " var nav_element = $('<div/>')\n",
	+ " nav_element.attr('style', 'width: 100%');\n",
	+ " this.root.append(nav_element);\n",
	+ "\n",
	+ " // Define a callback function for later on.\n",
	+ " function toolbar_event(event) {\n",
	+ " return fig.toolbar_button_onclick(event['data']);\n",
	+ " }\n",
	+ " function toolbar_mouse_event(event) {\n",
	+ " return fig.toolbar_button_onmouseover(event['data']);\n",
	+ " }\n",
	+ "\n",
	+ " for(var toolbar_ind in mpl.toolbar_items) {\n",
	+ " var name = mpl.toolbar_items[toolbar_ind][0];\n",
	+ " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
	+ " var image = mpl.toolbar_items[toolbar_ind][2];\n",
	+ " var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
	+ "\n",
	+ " if (!name) {\n",
	+ " // put a spacer in here.\n",
	+ " continue;\n",
	+ " }\n",
	+ " var button = $('<button/>');\n",
	+ " button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
	+ " 'ui-button-icon-only');\n",
	+ " button.attr('role', 'button');\n",
	+ " button.attr('aria-disabled', 'false');\n",
	+ " button.click(method_name, toolbar_event);\n",
	+ " button.mouseover(tooltip, toolbar_mouse_event);\n",
	+ "\n",
	+ " var icon_img = $('<span/>');\n",
	+ " icon_img.addClass('ui-button-icon-primary ui-icon');\n",
	+ " icon_img.addClass(image);\n",
	+ " icon_img.addClass('ui-corner-all');\n",
	+ "\n",
	+ " var tooltip_span = $('<span/>');\n",
	+ " tooltip_span.addClass('ui-button-text');\n",
	+ " tooltip_span.html(tooltip);\n",
	+ "\n",
	+ " button.append(icon_img);\n",
	+ " button.append(tooltip_span);\n",
	+ "\n",
	+ " nav_element.append(button);\n",
	+ " }\n",
	+ "\n",
	+ " var fmt_picker_span = $('<span/>');\n",
	+ "\n",
	+ " var fmt_picker = $('<select/>');\n",
	+ " fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
	+ " fmt_picker_span.append(fmt_picker);\n",
	+ " nav_element.append(fmt_picker_span);\n",
	+ " this.format_dropdown = fmt_picker[0];\n",
	+ "\n",
	+ " for (var ind in mpl.extensions) {\n",
	+ " var fmt = mpl.extensions[ind];\n",
	+ " var option = $(\n",
	+ " '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
	+ " fmt_picker.append(option)\n",
	+ " }\n",
	+ "\n",
	+ " // Add hover states to the ui-buttons\n",
	+ " $( \".ui-button\" ).hover(\n",
	+ " function() { $(this).addClass(\"ui-state-hover\");},\n",
	+ " function() { $(this).removeClass(\"ui-state-hover\");}\n",
	+ " );\n",
	+ "\n",
	+ " var status_bar = $('<span class=\"mpl-message\"/>');\n",
	+ " nav_element.append(status_bar);\n",
	+ " this.message = status_bar[0];\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
	+ " // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
	+ " // which will in turn request a refresh of the image.\n",
	+ " this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.send_message = function(type, properties) {\n",
	+ " properties['type'] = type;\n",
	+ " properties['figure_id'] = this.id;\n",
	+ " this.ws.send(JSON.stringify(properties));\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.send_draw_message = function() {\n",
	+ " if (!this.waiting) {\n",
	+ " this.waiting = true;\n",
	+ " this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
	+ " }\n",
	+ "}\n",
	+ "\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
	+ " var format_dropdown = fig.format_dropdown;\n",
	+ " var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
	+ " fig.ondownload(fig, format);\n",
	+ "}\n",
	+ "\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
	+ " var size = msg['size'];\n",
	+ " if (size[0] != fig.canvas.width \|\| size[1] != fig.canvas.height) {\n",
	+ " fig._resize_canvas(size[0], size[1]);\n",
	+ " fig.send_message(\"refresh\", {});\n",
	+ " };\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
	+ " var x0 = msg['x0'] / mpl.ratio;\n",
	+ " var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
	+ " var x1 = msg['x1'] / mpl.ratio;\n",
	+ " var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
	+ " x0 = Math.floor(x0) + 0.5;\n",
	+ " y0 = Math.floor(y0) + 0.5;\n",
	+ " x1 = Math.floor(x1) + 0.5;\n",
	+ " y1 = Math.floor(y1) + 0.5;\n",
	+ " var min_x = Math.min(x0, x1);\n",
	+ " var min_y = Math.min(y0, y1);\n",
	+ " var width = Math.abs(x1 - x0);\n",
	+ " var height = Math.abs(y1 - y0);\n",
	+ "\n",
	+ " fig.rubberband_context.clearRect(\n",
	+ " 0, 0, fig.canvas.width, fig.canvas.height);\n",
	+ "\n",
	+ " fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
	+ " // Updates the figure title.\n",
	+ " fig.header.textContent = msg['label'];\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
	+ " var cursor = msg['cursor'];\n",
	+ " switch(cursor)\n",
	+ " {\n",
	+ " case 0:\n",
	+ " cursor = 'pointer';\n",
	+ " break;\n",
	+ " case 1:\n",
	+ " cursor = 'default';\n",
	+ " break;\n",
	+ " case 2:\n",
	+ " cursor = 'crosshair';\n",
	+ " break;\n",
	+ " case 3:\n",
	+ " cursor = 'move';\n",
	+ " break;\n",
	+ " }\n",
	+ " fig.rubberband_canvas.style.cursor = cursor;\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
	+ " fig.message.textContent = msg['message'];\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
	+ " // Request the server to send over a new figure.\n",
	+ " fig.send_draw_message();\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
	+ " fig.image_mode = msg['mode'];\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.updated_canvas_event = function() {\n",
	+ " // Called whenever the canvas gets updated.\n",
	+ " this.send_message(\"ack\", {});\n",
	+ "}\n",
	+ "\n",
	+ "// A function to construct a web socket function for onmessage handling.\n",
	+ "// Called in the figure constructor.\n",
	+ "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
	+ " return function socket_on_message(evt) {\n",
	+ " if (evt.data instanceof Blob) {\n",
	+ " /* FIXME: We get \"Resource interpreted as Image but\n",
	+ " * transferred with MIME type text/plain:\" errors on\n",
	+ " * Chrome. But how to set the MIME type? It doesn't seem\n",
	+ " * to be part of the websocket stream */\n",
	+ " evt.data.type = \"image/png\";\n",
	+ "\n",
	+ " /* Free the memory for the previous frames */\n",
	+ " if (fig.imageObj.src) {\n",
	+ " (window.URL \|\| window.webkitURL).revokeObjectURL(\n",
	+ " fig.imageObj.src);\n",
	+ " }\n",
	+ "\n",
	+ " fig.imageObj.src = (window.URL \|\| window.webkitURL).createObjectURL(\n",
	+ " evt.data);\n",
	+ " fig.updated_canvas_event();\n",
	+ " fig.waiting = false;\n",
	+ " return;\n",
	+ " }\n",
	+ " else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
	+ " fig.imageObj.src = evt.data;\n",
	+ " fig.updated_canvas_event();\n",
	+ " fig.waiting = false;\n",
	+ " return;\n",
	+ " }\n",
	+ "\n",
	+ " var msg = JSON.parse(evt.data);\n",
	+ " var msg_type = msg['type'];\n",
	+ "\n",
	+ " // Call the \"handle_{type}\" callback, which takes\n",
	+ " // the figure and JSON message as its only arguments.\n",
	+ " try {\n",
	+ " var callback = fig[\"handle_\" + msg_type];\n",
	+ " } catch (e) {\n",
	+ " console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
	+ " return;\n",
	+ " }\n",
	+ "\n",
	+ " if (callback) {\n",
	+ " try {\n",
	+ " // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
	+ " callback(fig, msg);\n",
	+ " } catch (e) {\n",
	+ " console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
	+ " }\n",
	+ " }\n",
	+ " };\n",
	+ "}\n",
	+ "\n",
	+ "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
	+ "mpl.findpos = function(e) {\n",
	+ " //this section is from http://www.quirksmode.org/js/events_properties.html\n",
	+ " var targ;\n",
	+ " if (!e)\n",
	+ " e = window.event;\n",
	+ " if (e.target)\n",
	+ " targ = e.target;\n",
	+ " else if (e.srcElement)\n",
	+ " targ = e.srcElement;\n",
	+ " if (targ.nodeType == 3) // defeat Safari bug\n",
	+ " targ = targ.parentNode;\n",
	+ "\n",
	+ " // jQuery normalizes the pageX and pageY\n",
	+ " // pageX,Y are the mouse positions relative to the document\n",
	+ " // offset() returns the position of the element relative to the document\n",
	+ " var x = e.pageX - $(targ).offset().left;\n",
	+ " var y = e.pageY - $(targ).offset().top;\n",
	+ "\n",
	+ " return {\"x\": x, \"y\": y};\n",
	+ "};\n",
	+ "\n",
	+ "/*\n",
	+ " * return a copy of an object with only non-object keys\n",
	+ " * we need this to avoid circular references\n",
	+ " * http://stackoverflow.com/a/24161582/3208463\n",
	+ " */\n",
	+ "function simpleKeys (original) {\n",
	+ " return Object.keys(original).reduce(function (obj, key) {\n",
	+ " if (typeof original[key] !== 'object')\n",
	+ " obj[key] = original[key]\n",
	+ " return obj;\n",
	+ " }, {});\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.mouse_event = function(event, name) {\n",
	+ " var canvas_pos = mpl.findpos(event)\n",
	+ "\n",
	+ " if (name === 'button_press')\n",
	+ " {\n",
	+ " this.canvas.focus();\n",
	+ " this.canvas_div.focus();\n",
	+ " }\n",
	+ "\n",
	+ " var x = canvas_pos.x * mpl.ratio;\n",
	+ " var y = canvas_pos.y * mpl.ratio;\n",
	+ "\n",
	+ " this.send_message(name, {x: x, y: y, button: event.button,\n",
	+ " step: event.step,\n",
	+ " guiEvent: simpleKeys(event)});\n",
	+ "\n",
	+ " /* This prevents the web browser from automatically changing to\n",
	+ " * the text insertion cursor when the button is pressed. We want\n",
	+ " * to control all of the cursor setting manually through the\n",
	+ " * 'cursor' event from matplotlib */\n",
	+ " event.preventDefault();\n",
	+ " return false;\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
	+ " // Handle any extra behaviour associated with a key event\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.key_event = function(event, name) {\n",
	+ "\n",
	+ " // Prevent repeat events\n",
	+ " if (name == 'key_press')\n",
	+ " {\n",
	+ " if (event.which === this._key)\n",
	+ " return;\n",
	+ " else\n",
	+ " this._key = event.which;\n",
	+ " }\n",
	+ " if (name == 'key_release')\n",
	+ " this._key = null;\n",
	+ "\n",
	+ " var value = '';\n",
	+ " if (event.ctrlKey && event.which != 17)\n",
	+ " value += \"ctrl+\";\n",
	+ " if (event.altKey && event.which != 18)\n",
	+ " value += \"alt+\";\n",
	+ " if (event.shiftKey && event.which != 16)\n",
	+ " value += \"shift+\";\n",
	+ "\n",
	+ " value += 'k';\n",
	+ " value += event.which.toString();\n",
	+ "\n",
	+ " this._key_event_extra(event, name);\n",
	+ "\n",
	+ " this.send_message(name, {key: value,\n",
	+ " guiEvent: simpleKeys(event)});\n",
	+ " return false;\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
	+ " if (name == 'download') {\n",
	+ " this.handle_save(this, null);\n",
	+ " } else {\n",
	+ " this.send_message(\"toolbar_button\", {name: name});\n",
	+ " }\n",
	+ "};\n",
	+ "\n",
	+ "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
	+ " this.message.textContent = tooltip;\n",
	+ "};\n",
	+ "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
	+ "\n",
	+ "mpl.extensions = [\"eps\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\n",
	+ "\n",
	+ "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
	+ " // Create a \"websocket\"-like object which calls the given IPython comm\n",
	+ " // object with the appropriate methods. Currently this is a non binary\n",
	+ " // socket, so there is still some room for performance tuning.\n",
	+ " var ws = {};\n",
	+ "\n",
	+ " ws.close = function() {\n",
	+ " comm.close()\n",
	+ " };\n",
	+ " ws.send = function(m) {\n",
	+ " //console.log('sending', m);\n",
	+ " comm.send(m);\n",
	+ " };\n",
	+ " // Register the callback with on_msg.\n",
	+ " comm.on_msg(function(msg) {\n",
	+ " //console.log('receiving', msg['content']['data'], msg);\n",
	+ " // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
	+ " ws.onmessage(msg['content']['data'])\n",
	+ " });\n",
	+ " return ws;\n",
	+ "}\n",
	+ "\n",
	+ "mpl.mpl_figure_comm = function(comm, msg) {\n",
	+ " // This is the function which gets called when the mpl process\n",
	+ " // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
	+ "\n",
	+ " var id = msg.content.data.id;\n",
	+ " // Get hold of the div created by the display call when the Comm\n",
	+ " // socket was opened in Python.\n",
	+ " var element = $(\"#\" + id);\n",
	+ " var ws_proxy = comm_websocket_adapter(comm)\n",
	+ "\n",
	+ " function ondownload(figure, format) {\n",
	+ " window.open(figure.imageObj.src);\n",
	+ " }\n",
	+ "\n",
	+ " var fig = new mpl.figure(id, ws_proxy,\n",
	+ " ondownload,\n",
	+ " element.get(0));\n",
	+ "\n",
	+ " // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
	+ " // web socket which is closed, not our websocket->open comm proxy.\n",
	+ " ws_proxy.onopen();\n",
	+ "\n",
	+ " fig.parent_element = element.get(0);\n",
	+ " fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
	+ " if (!fig.cell_info) {\n",
	+ " console.error(\"Failed to find cell for figure\", id, fig);\n",
	+ " return;\n",
	+ " }\n",
	+ "\n",
	+ " var output_index = fig.cell_info[2]\n",
	+ " var cell = fig.cell_info[0];\n",
	+ "\n",
	+ "};\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
	+ " var width = fig.canvas.width/mpl.ratio\n",
	+ " fig.root.unbind('remove')\n",
	+ "\n",
	+ " // Update the output cell to use the data from the current canvas.\n",
	+ " fig.push_to_output();\n",
	+ " var dataURL = fig.canvas.toDataURL();\n",
	+ " // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
	+ " // the notebook keyboard shortcuts fail.\n",
	+ " IPython.keyboard_manager.enable()\n",
	+ " $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
	+ " fig.close_ws(fig, msg);\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.close_ws = function(fig, msg){\n",
	+ " fig.send_message('closing', msg);\n",
	+ " // fig.ws.close()\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
	+ " // Turn the data on the canvas into data in the output cell.\n",
	+ " var width = this.canvas.width/mpl.ratio\n",
	+ " var dataURL = this.canvas.toDataURL();\n",
	+ " this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.updated_canvas_event = function() {\n",
	+ " // Tell IPython that the notebook contents must change.\n",
	+ " IPython.notebook.set_dirty(true);\n",
	+ " this.send_message(\"ack\", {});\n",
	+ " var fig = this;\n",
	+ " // Wait a second, then push the new image to the DOM so\n",
	+ " // that it is saved nicely (might be nice to debounce this).\n",
	+ " setTimeout(function () { fig.push_to_output() }, 1000);\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._init_toolbar = function() {\n",
	+ " var fig = this;\n",
	+ "\n",
	+ " var nav_element = $('<div/>')\n",
	+ " nav_element.attr('style', 'width: 100%');\n",
	+ " this.root.append(nav_element);\n",
	+ "\n",
	+ " // Define a callback function for later on.\n",
	+ " function toolbar_event(event) {\n",
	+ " return fig.toolbar_button_onclick(event['data']);\n",
	+ " }\n",
	+ " function toolbar_mouse_event(event) {\n",
	+ " return fig.toolbar_button_onmouseover(event['data']);\n",
	+ " }\n",
	+ "\n",
	+ " for(var toolbar_ind in mpl.toolbar_items){\n",
	+ " var name = mpl.toolbar_items[toolbar_ind][0];\n",
	+ " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
	+ " var image = mpl.toolbar_items[toolbar_ind][2];\n",
	+ " var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
	+ "\n",
	+ " if (!name) { continue; };\n",
	+ "\n",
	+ " var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
	+ " button.click(method_name, toolbar_event);\n",
	+ " button.mouseover(tooltip, toolbar_mouse_event);\n",
	+ " nav_element.append(button);\n",
	+ " }\n",
	+ "\n",
	+ " // Add the status bar.\n",
	+ " var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
	+ " nav_element.append(status_bar);\n",
	+ " this.message = status_bar[0];\n",
	+ "\n",
	+ " // Add the close button to the window.\n",
	+ " var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
	+ " var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
	+ " button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
	+ " button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
	+ " buttongrp.append(button);\n",
	+ " var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
	+ " titlebar.prepend(buttongrp);\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._root_extra_style = function(el){\n",
	+ " var fig = this\n",
	+ " el.on(\"remove\", function(){\n",
	+ "\tfig.close_ws(fig, {});\n",
	+ " });\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._canvas_extra_style = function(el){\n",
	+ " // this is important to make the div 'focusable\n",
	+ " el.attr('tabindex', 0)\n",
	+ " // reach out to IPython and tell the keyboard manager to turn it's self\n",
	+ " // off when our div gets focus\n",
	+ "\n",
	+ " // location in version 3\n",
	+ " if (IPython.notebook.keyboard_manager) {\n",
	+ " IPython.notebook.keyboard_manager.register_events(el);\n",
	+ " }\n",
	+ " else {\n",
	+ " // location in version 2\n",
	+ " IPython.keyboard_manager.register_events(el);\n",
	+ " }\n",
	+ "\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
	+ " var manager = IPython.notebook.keyboard_manager;\n",
	+ " if (!manager)\n",
	+ " manager = IPython.keyboard_manager;\n",
	+ "\n",
	+ " // Check for shift+enter\n",
	+ " if (event.shiftKey && event.which == 13) {\n",
	+ " this.canvas_div.blur();\n",
	+ " event.shiftKey = false;\n",
	+ " // Send a \"J\" for go to next cell\n",
	+ " event.which = 74;\n",
	+ " event.keyCode = 74;\n",
	+ " manager.command_mode();\n",
	+ " manager.handle_keydown(event);\n",
	+ " }\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
	+ " fig.ondownload(fig, null);\n",
	+ "}\n",
	+ "\n",
	+ "\n",
	+ "mpl.find_output_cell = function(html_output) {\n",
	+ " // Return the cell and output element which can be found uniquely in the notebook.\n",
	+ " // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
	+ " // IPython event is triggered only after the cells have been serialised, which for\n",
	+ " // our purposes (turning an active figure into a static one), is too late.\n",
	+ " var cells = IPython.notebook.get_cells();\n",
	+ " var ncells = cells.length;\n",
	+ " for (var i=0; i<ncells; i++) {\n",
	+ " var cell = cells[i];\n",
	+ " if (cell.cell_type === 'code'){\n",
	+ " for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
	+ " var data = cell.output_area.outputs[j];\n",
	+ " if (data.data) {\n",
	+ " // IPython >= 3 moved mimebundle to data attribute of output\n",
	+ " data = data.data;\n",
	+ " }\n",
	+ " if (data['text/html'] == html_output) {\n",
	+ " return [cell, data, j];\n",
	+ " }\n",
	+ " }\n",
	+ " }\n",
	+ " }\n",
	+ "}\n",
	+ "\n",
	+ "// Register the function which deals with the matplotlib target/channel.\n",
	+ "// The kernel may be null if the page has been refreshed.\n",
	+ "if (IPython.notebook.kernel != null) {\n",
	+ " IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
	+ "}\n"
	+ ],
	+ "text/plain": [
	+ "<IPython.core.display.Javascript object>"
	+ ]
	+ },
	+ "metadata": {},
	+ "output_type": "display_data"
	+ },
	+ {
	+ "data": {
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\" width=\"640\">"
	+ ],
	+ "text/plain": [
	+ "<IPython.core.display.HTML object>"
	+ ]
	+ },
	+ "metadata": {},
	+ "output_type": "display_data"
	+ }
	+ ],
	+ "source": [
	+ "plt.figure()\n",
	+ "proj_ds[('SIS_D_%d' %YEAR)].isel(time = 12).plot()\n",
	+ "plt.axis('equal')\n",
	+ "plt.show()"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 40,
	+ "metadata": {},
	+ "outputs": [
	+ {
	+ "data": {
	+ "application/javascript": [
	+ "/* Put everything inside the global mpl namespace */\n",
	+ "window.mpl = {};\n",
	+ "\n",
	+ "\n",
	+ "mpl.get_websocket_type = function() {\n",
	+ " if (typeof(WebSocket) !== 'undefined') {\n",
	+ " return WebSocket;\n",
	+ " } else if (typeof(MozWebSocket) !== 'undefined') {\n",
	+ " return MozWebSocket;\n",
	+ " } else {\n",
	+ " alert('Your browser does not have WebSocket support.' +\n",
	+ " 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
	+ " 'Firefox 4 and 5 are also supported but you ' +\n",
	+ " 'have to enable WebSockets in about:config.');\n",
	+ " };\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
	+ " this.id = figure_id;\n",
	+ "\n",
	+ " this.ws = websocket;\n",
	+ "\n",
	+ " this.supports_binary = (this.ws.binaryType != undefined);\n",
	+ "\n",
	+ " if (!this.supports_binary) {\n",
	+ " var warnings = document.getElementById(\"mpl-warnings\");\n",
	+ " if (warnings) {\n",
	+ " warnings.style.display = 'block';\n",
	+ " warnings.textContent = (\n",
	+ " \"This browser does not support binary websocket messages. \" +\n",
	+ " \"Performance may be slow.\");\n",
	+ " }\n",
	+ " }\n",
	+ "\n",
	+ " this.imageObj = new Image();\n",
	+ "\n",
	+ " this.context = undefined;\n",
	+ " this.message = undefined;\n",
	+ " this.canvas = undefined;\n",
	+ " this.rubberband_canvas = undefined;\n",
	+ " this.rubberband_context = undefined;\n",
	+ " this.format_dropdown = undefined;\n",
	+ "\n",
	+ " this.image_mode = 'full';\n",
	+ "\n",
	+ " this.root = $('<div/>');\n",
	+ " this._root_extra_style(this.root)\n",
	+ " this.root.attr('style', 'display: inline-block');\n",
	+ "\n",
	+ " $(parent_element).append(this.root);\n",
	+ "\n",
	+ " this._init_header(this);\n",
	+ " this._init_canvas(this);\n",
	+ " this._init_toolbar(this);\n",
	+ "\n",
	+ " var fig = this;\n",
	+ "\n",
	+ " this.waiting = false;\n",
	+ "\n",
	+ " this.ws.onopen = function () {\n",
	+ " fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
	+ " fig.send_message(\"send_image_mode\", {});\n",
	+ " if (mpl.ratio != 1) {\n",
	+ " fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
	+ " }\n",
	+ " fig.send_message(\"refresh\", {});\n",
	+ " }\n",
	+ "\n",
	+ " this.imageObj.onload = function() {\n",
	+ " if (fig.image_mode == 'full') {\n",
	+ " // Full images could contain transparency (where diff images\n",
	+ " // almost always do), so we need to clear the canvas so that\n",
	+ " // there is no ghosting.\n",
	+ " fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
	+ " }\n",
	+ " fig.context.drawImage(fig.imageObj, 0, 0);\n",
	+ " };\n",
	+ "\n",
	+ " this.imageObj.onunload = function() {\n",
	+ " fig.ws.close();\n",
	+ " }\n",
	+ "\n",
	+ " this.ws.onmessage = this._make_on_message_function(this);\n",
	+ "\n",
	+ " this.ondownload = ondownload;\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._init_header = function() {\n",
	+ " var titlebar = $(\n",
	+ " '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
	+ " 'ui-helper-clearfix\"/>');\n",
	+ " var titletext = $(\n",
	+ " '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
	+ " 'text-align: center; padding: 3px;\"/>');\n",
	+ " titlebar.append(titletext)\n",
	+ " this.root.append(titlebar);\n",
	+ " this.header = titletext[0];\n",
	+ "}\n",
	+ "\n",
	+ "\n",
	+ "\n",
	+ "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
	+ "\n",
	+ "}\n",
	+ "\n",
	+ "\n",
	+ "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
	+ "\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._init_canvas = function() {\n",
	+ " var fig = this;\n",
	+ "\n",
	+ " var canvas_div = $('<div/>');\n",
	+ "\n",
	+ " canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
	+ "\n",
	+ " function canvas_keyboard_event(event) {\n",
	+ " return fig.key_event(event, event['data']);\n",
	+ " }\n",
	+ "\n",
	+ " canvas_div.keydown('key_press', canvas_keyboard_event);\n",
	+ " canvas_div.keyup('key_release', canvas_keyboard_event);\n",
	+ " this.canvas_div = canvas_div\n",
	+ " this._canvas_extra_style(canvas_div)\n",
	+ " this.root.append(canvas_div);\n",
	+ "\n",
	+ " var canvas = $('<canvas/>');\n",
	+ " canvas.addClass('mpl-canvas');\n",
	+ " canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
	+ "\n",
	+ " this.canvas = canvas[0];\n",
	+ " this.context = canvas[0].getContext(\"2d\");\n",
	+ "\n",
	+ " var backingStore = this.context.backingStorePixelRatio \|\|\n",
	+ "\tthis.context.webkitBackingStorePixelRatio \|\|\n",
	+ "\tthis.context.mozBackingStorePixelRatio \|\|\n",
	+ "\tthis.context.msBackingStorePixelRatio \|\|\n",
	+ "\tthis.context.oBackingStorePixelRatio \|\|\n",
	+ "\tthis.context.backingStorePixelRatio \|\| 1;\n",
	+ "\n",
	+ " mpl.ratio = (window.devicePixelRatio \|\| 1) / backingStore;\n",
	+ "\n",
	+ " var rubberband = $('<canvas/>');\n",
	+ " rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
	+ "\n",
	+ " var pass_mouse_events = true;\n",
	+ "\n",
	+ " canvas_div.resizable({\n",
	+ " start: function(event, ui) {\n",
	+ " pass_mouse_events = false;\n",
	+ " },\n",
	+ " resize: function(event, ui) {\n",
	+ " fig.request_resize(ui.size.width, ui.size.height);\n",
	+ " },\n",
	+ " stop: function(event, ui) {\n",
	+ " pass_mouse_events = true;\n",
	+ " fig.request_resize(ui.size.width, ui.size.height);\n",
	+ " },\n",
	+ " });\n",
	+ "\n",
	+ " function mouse_event_fn(event) {\n",
	+ " if (pass_mouse_events)\n",
	+ " return fig.mouse_event(event, event['data']);\n",
	+ " }\n",
	+ "\n",
	+ " rubberband.mousedown('button_press', mouse_event_fn);\n",
	+ " rubberband.mouseup('button_release', mouse_event_fn);\n",
	+ " // Throttle sequential mouse events to 1 every 20ms.\n",
	+ " rubberband.mousemove('motion_notify', mouse_event_fn);\n",
	+ "\n",
	+ " rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
	+ " rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
	+ "\n",
	+ " canvas_div.on(\"wheel\", function (event) {\n",
	+ " event = event.originalEvent;\n",
	+ " event['data'] = 'scroll'\n",
	+ " if (event.deltaY < 0) {\n",
	+ " event.step = 1;\n",
	+ " } else {\n",
	+ " event.step = -1;\n",
	+ " }\n",
	+ " mouse_event_fn(event);\n",
	+ " });\n",
	+ "\n",
	+ " canvas_div.append(canvas);\n",
	+ " canvas_div.append(rubberband);\n",
	+ "\n",
	+ " this.rubberband = rubberband;\n",
	+ " this.rubberband_canvas = rubberband[0];\n",
	+ " this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
	+ " this.rubberband_context.strokeStyle = \"#000000\";\n",
	+ "\n",
	+ " this._resize_canvas = function(width, height) {\n",
	+ " // Keep the size of the canvas, canvas container, and rubber band\n",
	+ " // canvas in synch.\n",
	+ " canvas_div.css('width', width)\n",
	+ " canvas_div.css('height', height)\n",
	+ "\n",
	+ " canvas.attr('width', width * mpl.ratio);\n",
	+ " canvas.attr('height', height * mpl.ratio);\n",
	+ " canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
	+ "\n",
	+ " rubberband.attr('width', width);\n",
	+ " rubberband.attr('height', height);\n",
	+ " }\n",
	+ "\n",
	+ " // Set the figure to an initial 600x600px, this will subsequently be updated\n",
	+ " // upon first draw.\n",
	+ " this._resize_canvas(600, 600);\n",
	+ "\n",
	+ " // Disable right mouse context menu.\n",
	+ " $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
	+ " return false;\n",
	+ " });\n",
	+ "\n",
	+ " function set_focus () {\n",
	+ " canvas.focus();\n",
	+ " canvas_div.focus();\n",
	+ " }\n",
	+ "\n",
	+ " window.setTimeout(set_focus, 100);\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._init_toolbar = function() {\n",
	+ " var fig = this;\n",
	+ "\n",
	+ " var nav_element = $('<div/>')\n",
	+ " nav_element.attr('style', 'width: 100%');\n",
	+ " this.root.append(nav_element);\n",
	+ "\n",
	+ " // Define a callback function for later on.\n",
	+ " function toolbar_event(event) {\n",
	+ " return fig.toolbar_button_onclick(event['data']);\n",
	+ " }\n",
	+ " function toolbar_mouse_event(event) {\n",
	+ " return fig.toolbar_button_onmouseover(event['data']);\n",
	+ " }\n",
	+ "\n",
	+ " for(var toolbar_ind in mpl.toolbar_items) {\n",
	+ " var name = mpl.toolbar_items[toolbar_ind][0];\n",
	+ " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
	+ " var image = mpl.toolbar_items[toolbar_ind][2];\n",
	+ " var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
	+ "\n",
	+ " if (!name) {\n",
	+ " // put a spacer in here.\n",
	+ " continue;\n",
	+ " }\n",
	+ " var button = $('<button/>');\n",
	+ " button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
	+ " 'ui-button-icon-only');\n",
	+ " button.attr('role', 'button');\n",
	+ " button.attr('aria-disabled', 'false');\n",
	+ " button.click(method_name, toolbar_event);\n",
	+ " button.mouseover(tooltip, toolbar_mouse_event);\n",
	+ "\n",
	+ " var icon_img = $('<span/>');\n",
	+ " icon_img.addClass('ui-button-icon-primary ui-icon');\n",
	+ " icon_img.addClass(image);\n",
	+ " icon_img.addClass('ui-corner-all');\n",
	+ "\n",
	+ " var tooltip_span = $('<span/>');\n",
	+ " tooltip_span.addClass('ui-button-text');\n",
	+ " tooltip_span.html(tooltip);\n",
	+ "\n",
	+ " button.append(icon_img);\n",
	+ " button.append(tooltip_span);\n",
	+ "\n",
	+ " nav_element.append(button);\n",
	+ " }\n",
	+ "\n",
	+ " var fmt_picker_span = $('<span/>');\n",
	+ "\n",
	+ " var fmt_picker = $('<select/>');\n",
	+ " fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
	+ " fmt_picker_span.append(fmt_picker);\n",
	+ " nav_element.append(fmt_picker_span);\n",
	+ " this.format_dropdown = fmt_picker[0];\n",
	+ "\n",
	+ " for (var ind in mpl.extensions) {\n",
	+ " var fmt = mpl.extensions[ind];\n",
	+ " var option = $(\n",
	+ " '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
	+ " fmt_picker.append(option)\n",
	+ " }\n",
	+ "\n",
	+ " // Add hover states to the ui-buttons\n",
	+ " $( \".ui-button\" ).hover(\n",
	+ " function() { $(this).addClass(\"ui-state-hover\");},\n",
	+ " function() { $(this).removeClass(\"ui-state-hover\");}\n",
	+ " );\n",
	+ "\n",
	+ " var status_bar = $('<span class=\"mpl-message\"/>');\n",
	+ " nav_element.append(status_bar);\n",
	+ " this.message = status_bar[0];\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
	+ " // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
	+ " // which will in turn request a refresh of the image.\n",
	+ " this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.send_message = function(type, properties) {\n",
	+ " properties['type'] = type;\n",
	+ " properties['figure_id'] = this.id;\n",
	+ " this.ws.send(JSON.stringify(properties));\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.send_draw_message = function() {\n",
	+ " if (!this.waiting) {\n",
	+ " this.waiting = true;\n",
	+ " this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
	+ " }\n",
	+ "}\n",
	+ "\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
	+ " var format_dropdown = fig.format_dropdown;\n",
	+ " var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
	+ " fig.ondownload(fig, format);\n",
	+ "}\n",
	+ "\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
	+ " var size = msg['size'];\n",
	+ " if (size[0] != fig.canvas.width \|\| size[1] != fig.canvas.height) {\n",
	+ " fig._resize_canvas(size[0], size[1]);\n",
	+ " fig.send_message(\"refresh\", {});\n",
	+ " };\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
	+ " var x0 = msg['x0'] / mpl.ratio;\n",
	+ " var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
	+ " var x1 = msg['x1'] / mpl.ratio;\n",
	+ " var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
	+ " x0 = Math.floor(x0) + 0.5;\n",
	+ " y0 = Math.floor(y0) + 0.5;\n",
	+ " x1 = Math.floor(x1) + 0.5;\n",
	+ " y1 = Math.floor(y1) + 0.5;\n",
	+ " var min_x = Math.min(x0, x1);\n",
	+ " var min_y = Math.min(y0, y1);\n",
	+ " var width = Math.abs(x1 - x0);\n",
	+ " var height = Math.abs(y1 - y0);\n",
	+ "\n",
	+ " fig.rubberband_context.clearRect(\n",
	+ " 0, 0, fig.canvas.width, fig.canvas.height);\n",
	+ "\n",
	+ " fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
	+ " // Updates the figure title.\n",
	+ " fig.header.textContent = msg['label'];\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
	+ " var cursor = msg['cursor'];\n",
	+ " switch(cursor)\n",
	+ " {\n",
	+ " case 0:\n",
	+ " cursor = 'pointer';\n",
	+ " break;\n",
	+ " case 1:\n",
	+ " cursor = 'default';\n",
	+ " break;\n",
	+ " case 2:\n",
	+ " cursor = 'crosshair';\n",
	+ " break;\n",
	+ " case 3:\n",
	+ " cursor = 'move';\n",
	+ " break;\n",
	+ " }\n",
	+ " fig.rubberband_canvas.style.cursor = cursor;\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
	+ " fig.message.textContent = msg['message'];\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
	+ " // Request the server to send over a new figure.\n",
	+ " fig.send_draw_message();\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
	+ " fig.image_mode = msg['mode'];\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.updated_canvas_event = function() {\n",
	+ " // Called whenever the canvas gets updated.\n",
	+ " this.send_message(\"ack\", {});\n",
	+ "}\n",
	+ "\n",
	+ "// A function to construct a web socket function for onmessage handling.\n",
	+ "// Called in the figure constructor.\n",
	+ "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
	+ " return function socket_on_message(evt) {\n",
	+ " if (evt.data instanceof Blob) {\n",
	+ " /* FIXME: We get \"Resource interpreted as Image but\n",
	+ " * transferred with MIME type text/plain:\" errors on\n",
	+ " * Chrome. But how to set the MIME type? It doesn't seem\n",
	+ " * to be part of the websocket stream */\n",
	+ " evt.data.type = \"image/png\";\n",
	+ "\n",
	+ " /* Free the memory for the previous frames */\n",
	+ " if (fig.imageObj.src) {\n",
	+ " (window.URL \|\| window.webkitURL).revokeObjectURL(\n",
	+ " fig.imageObj.src);\n",
	+ " }\n",
	+ "\n",
	+ " fig.imageObj.src = (window.URL \|\| window.webkitURL).createObjectURL(\n",
	+ " evt.data);\n",
	+ " fig.updated_canvas_event();\n",
	+ " fig.waiting = false;\n",
	+ " return;\n",
	+ " }\n",
	+ " else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
	+ " fig.imageObj.src = evt.data;\n",
	+ " fig.updated_canvas_event();\n",
	+ " fig.waiting = false;\n",
	+ " return;\n",
	+ " }\n",
	+ "\n",
	+ " var msg = JSON.parse(evt.data);\n",
	+ " var msg_type = msg['type'];\n",
	+ "\n",
	+ " // Call the \"handle_{type}\" callback, which takes\n",
	+ " // the figure and JSON message as its only arguments.\n",
	+ " try {\n",
	+ " var callback = fig[\"handle_\" + msg_type];\n",
	+ " } catch (e) {\n",
	+ " console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
	+ " return;\n",
	+ " }\n",
	+ "\n",
	+ " if (callback) {\n",
	+ " try {\n",
	+ " // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
	+ " callback(fig, msg);\n",
	+ " } catch (e) {\n",
	+ " console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
	+ " }\n",
	+ " }\n",
	+ " };\n",
	+ "}\n",
	+ "\n",
	+ "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
	+ "mpl.findpos = function(e) {\n",
	+ " //this section is from http://www.quirksmode.org/js/events_properties.html\n",
	+ " var targ;\n",
	+ " if (!e)\n",
	+ " e = window.event;\n",
	+ " if (e.target)\n",
	+ " targ = e.target;\n",
	+ " else if (e.srcElement)\n",
	+ " targ = e.srcElement;\n",
	+ " if (targ.nodeType == 3) // defeat Safari bug\n",
	+ " targ = targ.parentNode;\n",
	+ "\n",
	+ " // jQuery normalizes the pageX and pageY\n",
	+ " // pageX,Y are the mouse positions relative to the document\n",
	+ " // offset() returns the position of the element relative to the document\n",
	+ " var x = e.pageX - $(targ).offset().left;\n",
	+ " var y = e.pageY - $(targ).offset().top;\n",
	+ "\n",
	+ " return {\"x\": x, \"y\": y};\n",
	+ "};\n",
	+ "\n",
	+ "/*\n",
	+ " * return a copy of an object with only non-object keys\n",
	+ " * we need this to avoid circular references\n",
	+ " * http://stackoverflow.com/a/24161582/3208463\n",
	+ " */\n",
	+ "function simpleKeys (original) {\n",
	+ " return Object.keys(original).reduce(function (obj, key) {\n",
	+ " if (typeof original[key] !== 'object')\n",
	+ " obj[key] = original[key]\n",
	+ " return obj;\n",
	+ " }, {});\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.mouse_event = function(event, name) {\n",
	+ " var canvas_pos = mpl.findpos(event)\n",
	+ "\n",
	+ " if (name === 'button_press')\n",
	+ " {\n",
	+ " this.canvas.focus();\n",
	+ " this.canvas_div.focus();\n",
	+ " }\n",
	+ "\n",
	+ " var x = canvas_pos.x * mpl.ratio;\n",
	+ " var y = canvas_pos.y * mpl.ratio;\n",
	+ "\n",
	+ " this.send_message(name, {x: x, y: y, button: event.button,\n",
	+ " step: event.step,\n",
	+ " guiEvent: simpleKeys(event)});\n",
	+ "\n",
	+ " /* This prevents the web browser from automatically changing to\n",
	+ " * the text insertion cursor when the button is pressed. We want\n",
	+ " * to control all of the cursor setting manually through the\n",
	+ " * 'cursor' event from matplotlib */\n",
	+ " event.preventDefault();\n",
	+ " return false;\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
	+ " // Handle any extra behaviour associated with a key event\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.key_event = function(event, name) {\n",
	+ "\n",
	+ " // Prevent repeat events\n",
	+ " if (name == 'key_press')\n",
	+ " {\n",
	+ " if (event.which === this._key)\n",
	+ " return;\n",
	+ " else\n",
	+ " this._key = event.which;\n",
	+ " }\n",
	+ " if (name == 'key_release')\n",
	+ " this._key = null;\n",
	+ "\n",
	+ " var value = '';\n",
	+ " if (event.ctrlKey && event.which != 17)\n",
	+ " value += \"ctrl+\";\n",
	+ " if (event.altKey && event.which != 18)\n",
	+ " value += \"alt+\";\n",
	+ " if (event.shiftKey && event.which != 16)\n",
	+ " value += \"shift+\";\n",
	+ "\n",
	+ " value += 'k';\n",
	+ " value += event.which.toString();\n",
	+ "\n",
	+ " this._key_event_extra(event, name);\n",
	+ "\n",
	+ " this.send_message(name, {key: value,\n",
	+ " guiEvent: simpleKeys(event)});\n",
	+ " return false;\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
	+ " if (name == 'download') {\n",
	+ " this.handle_save(this, null);\n",
	+ " } else {\n",
	+ " this.send_message(\"toolbar_button\", {name: name});\n",
	+ " }\n",
	+ "};\n",
	+ "\n",
	+ "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
	+ " this.message.textContent = tooltip;\n",
	+ "};\n",
	+ "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
	+ "\n",
	+ "mpl.extensions = [\"eps\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\n",
	+ "\n",
	+ "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
	+ " // Create a \"websocket\"-like object which calls the given IPython comm\n",
	+ " // object with the appropriate methods. Currently this is a non binary\n",
	+ " // socket, so there is still some room for performance tuning.\n",
	+ " var ws = {};\n",
	+ "\n",
	+ " ws.close = function() {\n",
	+ " comm.close()\n",
	+ " };\n",
	+ " ws.send = function(m) {\n",
	+ " //console.log('sending', m);\n",
	+ " comm.send(m);\n",
	+ " };\n",
	+ " // Register the callback with on_msg.\n",
	+ " comm.on_msg(function(msg) {\n",
	+ " //console.log('receiving', msg['content']['data'], msg);\n",
	+ " // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
	+ " ws.onmessage(msg['content']['data'])\n",
	+ " });\n",
	+ " return ws;\n",
	+ "}\n",
	+ "\n",
	+ "mpl.mpl_figure_comm = function(comm, msg) {\n",
	+ " // This is the function which gets called when the mpl process\n",
	+ " // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
	+ "\n",
	+ " var id = msg.content.data.id;\n",
	+ " // Get hold of the div created by the display call when the Comm\n",
	+ " // socket was opened in Python.\n",
	+ " var element = $(\"#\" + id);\n",
	+ " var ws_proxy = comm_websocket_adapter(comm)\n",
	+ "\n",
	+ " function ondownload(figure, format) {\n",
	+ " window.open(figure.imageObj.src);\n",
	+ " }\n",
	+ "\n",
	+ " var fig = new mpl.figure(id, ws_proxy,\n",
	+ " ondownload,\n",
	+ " element.get(0));\n",
	+ "\n",
	+ " // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
	+ " // web socket which is closed, not our websocket->open comm proxy.\n",
	+ " ws_proxy.onopen();\n",
	+ "\n",
	+ " fig.parent_element = element.get(0);\n",
	+ " fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
	+ " if (!fig.cell_info) {\n",
	+ " console.error(\"Failed to find cell for figure\", id, fig);\n",
	+ " return;\n",
	+ " }\n",
	+ "\n",
	+ " var output_index = fig.cell_info[2]\n",
	+ " var cell = fig.cell_info[0];\n",
	+ "\n",
	+ "};\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
	+ " var width = fig.canvas.width/mpl.ratio\n",
	+ " fig.root.unbind('remove')\n",
	+ "\n",
	+ " // Update the output cell to use the data from the current canvas.\n",
	+ " fig.push_to_output();\n",
	+ " var dataURL = fig.canvas.toDataURL();\n",
	+ " // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
	+ " // the notebook keyboard shortcuts fail.\n",
	+ " IPython.keyboard_manager.enable()\n",
	+ " $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
	+ " fig.close_ws(fig, msg);\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.close_ws = function(fig, msg){\n",
	+ " fig.send_message('closing', msg);\n",
	+ " // fig.ws.close()\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
	+ " // Turn the data on the canvas into data in the output cell.\n",
	+ " var width = this.canvas.width/mpl.ratio\n",
	+ " var dataURL = this.canvas.toDataURL();\n",
	+ " this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.updated_canvas_event = function() {\n",
	+ " // Tell IPython that the notebook contents must change.\n",
	+ " IPython.notebook.set_dirty(true);\n",
	+ " this.send_message(\"ack\", {});\n",
	+ " var fig = this;\n",
	+ " // Wait a second, then push the new image to the DOM so\n",
	+ " // that it is saved nicely (might be nice to debounce this).\n",
	+ " setTimeout(function () { fig.push_to_output() }, 1000);\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._init_toolbar = function() {\n",
	+ " var fig = this;\n",
	+ "\n",
	+ " var nav_element = $('<div/>')\n",
	+ " nav_element.attr('style', 'width: 100%');\n",
	+ " this.root.append(nav_element);\n",
	+ "\n",
	+ " // Define a callback function for later on.\n",
	+ " function toolbar_event(event) {\n",
	+ " return fig.toolbar_button_onclick(event['data']);\n",
	+ " }\n",
	+ " function toolbar_mouse_event(event) {\n",
	+ " return fig.toolbar_button_onmouseover(event['data']);\n",
	+ " }\n",
	+ "\n",
	+ " for(var toolbar_ind in mpl.toolbar_items){\n",
	+ " var name = mpl.toolbar_items[toolbar_ind][0];\n",
	+ " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
	+ " var image = mpl.toolbar_items[toolbar_ind][2];\n",
	+ " var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
	+ "\n",
	+ " if (!name) { continue; };\n",
	+ "\n",
	+ " var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
	+ " button.click(method_name, toolbar_event);\n",
	+ " button.mouseover(tooltip, toolbar_mouse_event);\n",
	+ " nav_element.append(button);\n",
	+ " }\n",
	+ "\n",
	+ " // Add the status bar.\n",
	+ " var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
	+ " nav_element.append(status_bar);\n",
	+ " this.message = status_bar[0];\n",
	+ "\n",
	+ " // Add the close button to the window.\n",
	+ " var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
	+ " var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
	+ " button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
	+ " button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
	+ " buttongrp.append(button);\n",
	+ " var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
	+ " titlebar.prepend(buttongrp);\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._root_extra_style = function(el){\n",
	+ " var fig = this\n",
	+ " el.on(\"remove\", function(){\n",
	+ "\tfig.close_ws(fig, {});\n",
	+ " });\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._canvas_extra_style = function(el){\n",
	+ " // this is important to make the div 'focusable\n",
	+ " el.attr('tabindex', 0)\n",
	+ " // reach out to IPython and tell the keyboard manager to turn it's self\n",
	+ " // off when our div gets focus\n",
	+ "\n",
	+ " // location in version 3\n",
	+ " if (IPython.notebook.keyboard_manager) {\n",
	+ " IPython.notebook.keyboard_manager.register_events(el);\n",
	+ " }\n",
	+ " else {\n",
	+ " // location in version 2\n",
	+ " IPython.keyboard_manager.register_events(el);\n",
	+ " }\n",
	+ "\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
	+ " var manager = IPython.notebook.keyboard_manager;\n",
	+ " if (!manager)\n",
	+ " manager = IPython.keyboard_manager;\n",
	+ "\n",
	+ " // Check for shift+enter\n",
	+ " if (event.shiftKey && event.which == 13) {\n",
	+ " this.canvas_div.blur();\n",
	+ " event.shiftKey = false;\n",
	+ " // Send a \"J\" for go to next cell\n",
	+ " event.which = 74;\n",
	+ " event.keyCode = 74;\n",
	+ " manager.command_mode();\n",
	+ " manager.handle_keydown(event);\n",
	+ " }\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
	+ " fig.ondownload(fig, null);\n",
	+ "}\n",
	+ "\n",
	+ "\n",
	+ "mpl.find_output_cell = function(html_output) {\n",
	+ " // Return the cell and output element which can be found uniquely in the notebook.\n",
	+ " // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
	+ " // IPython event is triggered only after the cells have been serialised, which for\n",
	+ " // our purposes (turning an active figure into a static one), is too late.\n",
	+ " var cells = IPython.notebook.get_cells();\n",
	+ " var ncells = cells.length;\n",
	+ " for (var i=0; i<ncells; i++) {\n",
	+ " var cell = cells[i];\n",
	+ " if (cell.cell_type === 'code'){\n",
	+ " for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
	+ " var data = cell.output_area.outputs[j];\n",
	+ " if (data.data) {\n",
	+ " // IPython >= 3 moved mimebundle to data attribute of output\n",
	+ " data = data.data;\n",
	+ " }\n",
	+ " if (data['text/html'] == html_output) {\n",
	+ " return [cell, data, j];\n",
	+ " }\n",
	+ " }\n",
	+ " }\n",
	+ " }\n",
	+ "}\n",
	+ "\n",
	+ "// Register the function which deals with the matplotlib target/channel.\n",
	+ "// The kernel may be null if the page has been refreshed.\n",
	+ "if (IPython.notebook.kernel != null) {\n",
	+ " IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
	+ "}\n"
	+ ],
	+ "text/plain": [
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	+ },
	+ "metadata": {},
	+ "output_type": "display_data"
	+ },
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\" width=\"320\">"
	+ ],
	+ "text/plain": [
	+ "<IPython.core.display.HTML object>"
	+ ]
	+ },
	+ "metadata": {},
	+ "output_type": "display_data"
	+ }
	+ ],
	+ "source": [
	+ "plt.figure()\n",
	+ "CH_mask.plot()\n",
	+ "plt.axis('equal')\n",
	+ "plt.show()"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 10,
	+ "metadata": {},
	+ "outputs": [
	+ {
	+ "data": {
	+ "application/javascript": [
	+ "/* Put everything inside the global mpl namespace */\n",
	+ "window.mpl = {};\n",
	+ "\n",
	+ "\n",
	+ "mpl.get_websocket_type = function() {\n",
	+ " if (typeof(WebSocket) !== 'undefined') {\n",
	+ " return WebSocket;\n",
	+ " } else if (typeof(MozWebSocket) !== 'undefined') {\n",
	+ " return MozWebSocket;\n",
	+ " } else {\n",
	+ " alert('Your browser does not have WebSocket support.' +\n",
	+ " 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
	+ " 'Firefox 4 and 5 are also supported but you ' +\n",
	+ " 'have to enable WebSockets in about:config.');\n",
	+ " };\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
	+ " this.id = figure_id;\n",
	+ "\n",
	+ " this.ws = websocket;\n",
	+ "\n",
	+ " this.supports_binary = (this.ws.binaryType != undefined);\n",
	+ "\n",
	+ " if (!this.supports_binary) {\n",
	+ " var warnings = document.getElementById(\"mpl-warnings\");\n",
	+ " if (warnings) {\n",
	+ " warnings.style.display = 'block';\n",
	+ " warnings.textContent = (\n",
	+ " \"This browser does not support binary websocket messages. \" +\n",
	+ " \"Performance may be slow.\");\n",
	+ " }\n",
	+ " }\n",
	+ "\n",
	+ " this.imageObj = new Image();\n",
	+ "\n",
	+ " this.context = undefined;\n",
	+ " this.message = undefined;\n",
	+ " this.canvas = undefined;\n",
	+ " this.rubberband_canvas = undefined;\n",
	+ " this.rubberband_context = undefined;\n",
	+ " this.format_dropdown = undefined;\n",
	+ "\n",
	+ " this.image_mode = 'full';\n",
	+ "\n",
	+ " this.root = $('<div/>');\n",
	+ " this._root_extra_style(this.root)\n",
	+ " this.root.attr('style', 'display: inline-block');\n",
	+ "\n",
	+ " $(parent_element).append(this.root);\n",
	+ "\n",
	+ " this._init_header(this);\n",
	+ " this._init_canvas(this);\n",
	+ " this._init_toolbar(this);\n",
	+ "\n",
	+ " var fig = this;\n",
	+ "\n",
	+ " this.waiting = false;\n",
	+ "\n",
	+ " this.ws.onopen = function () {\n",
	+ " fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
	+ " fig.send_message(\"send_image_mode\", {});\n",
	+ " if (mpl.ratio != 1) {\n",
	+ " fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
	+ " }\n",
	+ " fig.send_message(\"refresh\", {});\n",
	+ " }\n",
	+ "\n",
	+ " this.imageObj.onload = function() {\n",
	+ " if (fig.image_mode == 'full') {\n",
	+ " // Full images could contain transparency (where diff images\n",
	+ " // almost always do), so we need to clear the canvas so that\n",
	+ " // there is no ghosting.\n",
	+ " fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
	+ " }\n",
	+ " fig.context.drawImage(fig.imageObj, 0, 0);\n",
	+ " };\n",
	+ "\n",
	+ " this.imageObj.onunload = function() {\n",
	+ " fig.ws.close();\n",
	+ " }\n",
	+ "\n",
	+ " this.ws.onmessage = this._make_on_message_function(this);\n",
	+ "\n",
	+ " this.ondownload = ondownload;\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._init_header = function() {\n",
	+ " var titlebar = $(\n",
	+ " '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
	+ " 'ui-helper-clearfix\"/>');\n",
	+ " var titletext = $(\n",
	+ " '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
	+ " 'text-align: center; padding: 3px;\"/>');\n",
	+ " titlebar.append(titletext)\n",
	+ " this.root.append(titlebar);\n",
	+ " this.header = titletext[0];\n",
	+ "}\n",
	+ "\n",
	+ "\n",
	+ "\n",
	+ "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
	+ "\n",
	+ "}\n",
	+ "\n",
	+ "\n",
	+ "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
	+ "\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._init_canvas = function() {\n",
	+ " var fig = this;\n",
	+ "\n",
	+ " var canvas_div = $('<div/>');\n",
	+ "\n",
	+ " canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
	+ "\n",
	+ " function canvas_keyboard_event(event) {\n",
	+ " return fig.key_event(event, event['data']);\n",
	+ " }\n",
	+ "\n",
	+ " canvas_div.keydown('key_press', canvas_keyboard_event);\n",
	+ " canvas_div.keyup('key_release', canvas_keyboard_event);\n",
	+ " this.canvas_div = canvas_div\n",
	+ " this._canvas_extra_style(canvas_div)\n",
	+ " this.root.append(canvas_div);\n",
	+ "\n",
	+ " var canvas = $('<canvas/>');\n",
	+ " canvas.addClass('mpl-canvas');\n",
	+ " canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
	+ "\n",
	+ " this.canvas = canvas[0];\n",
	+ " this.context = canvas[0].getContext(\"2d\");\n",
	+ "\n",
	+ " var backingStore = this.context.backingStorePixelRatio \|\|\n",
	+ "\tthis.context.webkitBackingStorePixelRatio \|\|\n",
	+ "\tthis.context.mozBackingStorePixelRatio \|\|\n",
	+ "\tthis.context.msBackingStorePixelRatio \|\|\n",
	+ "\tthis.context.oBackingStorePixelRatio \|\|\n",
	+ "\tthis.context.backingStorePixelRatio \|\| 1;\n",
	+ "\n",
	+ " mpl.ratio = (window.devicePixelRatio \|\| 1) / backingStore;\n",
	+ "\n",
	+ " var rubberband = $('<canvas/>');\n",
	+ " rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
	+ "\n",
	+ " var pass_mouse_events = true;\n",
	+ "\n",
	+ " canvas_div.resizable({\n",
	+ " start: function(event, ui) {\n",
	+ " pass_mouse_events = false;\n",
	+ " },\n",
	+ " resize: function(event, ui) {\n",
	+ " fig.request_resize(ui.size.width, ui.size.height);\n",
	+ " },\n",
	+ " stop: function(event, ui) {\n",
	+ " pass_mouse_events = true;\n",
	+ " fig.request_resize(ui.size.width, ui.size.height);\n",
	+ " },\n",
	+ " });\n",
	+ "\n",
	+ " function mouse_event_fn(event) {\n",
	+ " if (pass_mouse_events)\n",
	+ " return fig.mouse_event(event, event['data']);\n",
	+ " }\n",
	+ "\n",
	+ " rubberband.mousedown('button_press', mouse_event_fn);\n",
	+ " rubberband.mouseup('button_release', mouse_event_fn);\n",
	+ " // Throttle sequential mouse events to 1 every 20ms.\n",
	+ " rubberband.mousemove('motion_notify', mouse_event_fn);\n",
	+ "\n",
	+ " rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
	+ " rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
	+ "\n",
	+ " canvas_div.on(\"wheel\", function (event) {\n",
	+ " event = event.originalEvent;\n",
	+ " event['data'] = 'scroll'\n",
	+ " if (event.deltaY < 0) {\n",
	+ " event.step = 1;\n",
	+ " } else {\n",
	+ " event.step = -1;\n",
	+ " }\n",
	+ " mouse_event_fn(event);\n",
	+ " });\n",
	+ "\n",
	+ " canvas_div.append(canvas);\n",
	+ " canvas_div.append(rubberband);\n",
	+ "\n",
	+ " this.rubberband = rubberband;\n",
	+ " this.rubberband_canvas = rubberband[0];\n",
	+ " this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
	+ " this.rubberband_context.strokeStyle = \"#000000\";\n",
	+ "\n",
	+ " this._resize_canvas = function(width, height) {\n",
	+ " // Keep the size of the canvas, canvas container, and rubber band\n",
	+ " // canvas in synch.\n",
	+ " canvas_div.css('width', width)\n",
	+ " canvas_div.css('height', height)\n",
	+ "\n",
	+ " canvas.attr('width', width * mpl.ratio);\n",
	+ " canvas.attr('height', height * mpl.ratio);\n",
	+ " canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
	+ "\n",
	+ " rubberband.attr('width', width);\n",
	+ " rubberband.attr('height', height);\n",
	+ " }\n",
	+ "\n",
	+ " // Set the figure to an initial 600x600px, this will subsequently be updated\n",
	+ " // upon first draw.\n",
	+ " this._resize_canvas(600, 600);\n",
	+ "\n",
	+ " // Disable right mouse context menu.\n",
	+ " $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
	+ " return false;\n",
	+ " });\n",
	+ "\n",
	+ " function set_focus () {\n",
	+ " canvas.focus();\n",
	+ " canvas_div.focus();\n",
	+ " }\n",
	+ "\n",
	+ " window.setTimeout(set_focus, 100);\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._init_toolbar = function() {\n",
	+ " var fig = this;\n",
	+ "\n",
	+ " var nav_element = $('<div/>')\n",
	+ " nav_element.attr('style', 'width: 100%');\n",
	+ " this.root.append(nav_element);\n",
	+ "\n",
	+ " // Define a callback function for later on.\n",
	+ " function toolbar_event(event) {\n",
	+ " return fig.toolbar_button_onclick(event['data']);\n",
	+ " }\n",
	+ " function toolbar_mouse_event(event) {\n",
	+ " return fig.toolbar_button_onmouseover(event['data']);\n",
	+ " }\n",
	+ "\n",
	+ " for(var toolbar_ind in mpl.toolbar_items) {\n",
	+ " var name = mpl.toolbar_items[toolbar_ind][0];\n",
	+ " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
	+ " var image = mpl.toolbar_items[toolbar_ind][2];\n",
	+ " var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
	+ "\n",
	+ " if (!name) {\n",
	+ " // put a spacer in here.\n",
	+ " continue;\n",
	+ " }\n",
	+ " var button = $('<button/>');\n",
	+ " button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
	+ " 'ui-button-icon-only');\n",
	+ " button.attr('role', 'button');\n",
	+ " button.attr('aria-disabled', 'false');\n",
	+ " button.click(method_name, toolbar_event);\n",
	+ " button.mouseover(tooltip, toolbar_mouse_event);\n",
	+ "\n",
	+ " var icon_img = $('<span/>');\n",
	+ " icon_img.addClass('ui-button-icon-primary ui-icon');\n",
	+ " icon_img.addClass(image);\n",
	+ " icon_img.addClass('ui-corner-all');\n",
	+ "\n",
	+ " var tooltip_span = $('<span/>');\n",
	+ " tooltip_span.addClass('ui-button-text');\n",
	+ " tooltip_span.html(tooltip);\n",
	+ "\n",
	+ " button.append(icon_img);\n",
	+ " button.append(tooltip_span);\n",
	+ "\n",
	+ " nav_element.append(button);\n",
	+ " }\n",
	+ "\n",
	+ " var fmt_picker_span = $('<span/>');\n",
	+ "\n",
	+ " var fmt_picker = $('<select/>');\n",
	+ " fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
	+ " fmt_picker_span.append(fmt_picker);\n",
	+ " nav_element.append(fmt_picker_span);\n",
	+ " this.format_dropdown = fmt_picker[0];\n",
	+ "\n",
	+ " for (var ind in mpl.extensions) {\n",
	+ " var fmt = mpl.extensions[ind];\n",
	+ " var option = $(\n",
	+ " '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
	+ " fmt_picker.append(option)\n",
	+ " }\n",
	+ "\n",
	+ " // Add hover states to the ui-buttons\n",
	+ " $( \".ui-button\" ).hover(\n",
	+ " function() { $(this).addClass(\"ui-state-hover\");},\n",
	+ " function() { $(this).removeClass(\"ui-state-hover\");}\n",
	+ " );\n",
	+ "\n",
	+ " var status_bar = $('<span class=\"mpl-message\"/>');\n",
	+ " nav_element.append(status_bar);\n",
	+ " this.message = status_bar[0];\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
	+ " // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
	+ " // which will in turn request a refresh of the image.\n",
	+ " this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.send_message = function(type, properties) {\n",
	+ " properties['type'] = type;\n",
	+ " properties['figure_id'] = this.id;\n",
	+ " this.ws.send(JSON.stringify(properties));\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.send_draw_message = function() {\n",
	+ " if (!this.waiting) {\n",
	+ " this.waiting = true;\n",
	+ " this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
	+ " }\n",
	+ "}\n",
	+ "\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
	+ " var format_dropdown = fig.format_dropdown;\n",
	+ " var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
	+ " fig.ondownload(fig, format);\n",
	+ "}\n",
	+ "\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
	+ " var size = msg['size'];\n",
	+ " if (size[0] != fig.canvas.width \|\| size[1] != fig.canvas.height) {\n",
	+ " fig._resize_canvas(size[0], size[1]);\n",
	+ " fig.send_message(\"refresh\", {});\n",
	+ " };\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
	+ " var x0 = msg['x0'] / mpl.ratio;\n",
	+ " var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
	+ " var x1 = msg['x1'] / mpl.ratio;\n",
	+ " var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
	+ " x0 = Math.floor(x0) + 0.5;\n",
	+ " y0 = Math.floor(y0) + 0.5;\n",
	+ " x1 = Math.floor(x1) + 0.5;\n",
	+ " y1 = Math.floor(y1) + 0.5;\n",
	+ " var min_x = Math.min(x0, x1);\n",
	+ " var min_y = Math.min(y0, y1);\n",
	+ " var width = Math.abs(x1 - x0);\n",
	+ " var height = Math.abs(y1 - y0);\n",
	+ "\n",
	+ " fig.rubberband_context.clearRect(\n",
	+ " 0, 0, fig.canvas.width, fig.canvas.height);\n",
	+ "\n",
	+ " fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
	+ " // Updates the figure title.\n",
	+ " fig.header.textContent = msg['label'];\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
	+ " var cursor = msg['cursor'];\n",
	+ " switch(cursor)\n",
	+ " {\n",
	+ " case 0:\n",
	+ " cursor = 'pointer';\n",
	+ " break;\n",
	+ " case 1:\n",
	+ " cursor = 'default';\n",
	+ " break;\n",
	+ " case 2:\n",
	+ " cursor = 'crosshair';\n",
	+ " break;\n",
	+ " case 3:\n",
	+ " cursor = 'move';\n",
	+ " break;\n",
	+ " }\n",
	+ " fig.rubberband_canvas.style.cursor = cursor;\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
	+ " fig.message.textContent = msg['message'];\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
	+ " // Request the server to send over a new figure.\n",
	+ " fig.send_draw_message();\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
	+ " fig.image_mode = msg['mode'];\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.updated_canvas_event = function() {\n",
	+ " // Called whenever the canvas gets updated.\n",
	+ " this.send_message(\"ack\", {});\n",
	+ "}\n",
	+ "\n",
	+ "// A function to construct a web socket function for onmessage handling.\n",
	+ "// Called in the figure constructor.\n",
	+ "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
	+ " return function socket_on_message(evt) {\n",
	+ " if (evt.data instanceof Blob) {\n",
	+ " /* FIXME: We get \"Resource interpreted as Image but\n",
	+ " * transferred with MIME type text/plain:\" errors on\n",
	+ " * Chrome. But how to set the MIME type? It doesn't seem\n",
	+ " * to be part of the websocket stream */\n",
	+ " evt.data.type = \"image/png\";\n",
	+ "\n",
	+ " /* Free the memory for the previous frames */\n",
	+ " if (fig.imageObj.src) {\n",
	+ " (window.URL \|\| window.webkitURL).revokeObjectURL(\n",
	+ " fig.imageObj.src);\n",
	+ " }\n",
	+ "\n",
	+ " fig.imageObj.src = (window.URL \|\| window.webkitURL).createObjectURL(\n",
	+ " evt.data);\n",
	+ " fig.updated_canvas_event();\n",
	+ " fig.waiting = false;\n",
	+ " return;\n",
	+ " }\n",
	+ " else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
	+ " fig.imageObj.src = evt.data;\n",
	+ " fig.updated_canvas_event();\n",
	+ " fig.waiting = false;\n",
	+ " return;\n",
	+ " }\n",
	+ "\n",
	+ " var msg = JSON.parse(evt.data);\n",
	+ " var msg_type = msg['type'];\n",
	+ "\n",
	+ " // Call the \"handle_{type}\" callback, which takes\n",
	+ " // the figure and JSON message as its only arguments.\n",
	+ " try {\n",
	+ " var callback = fig[\"handle_\" + msg_type];\n",
	+ " } catch (e) {\n",
	+ " console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
	+ " return;\n",
	+ " }\n",
	+ "\n",
	+ " if (callback) {\n",
	+ " try {\n",
	+ " // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
	+ " callback(fig, msg);\n",
	+ " } catch (e) {\n",
	+ " console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
	+ " }\n",
	+ " }\n",
	+ " };\n",
	+ "}\n",
	+ "\n",
	+ "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
	+ "mpl.findpos = function(e) {\n",
	+ " //this section is from http://www.quirksmode.org/js/events_properties.html\n",
	+ " var targ;\n",
	+ " if (!e)\n",
	+ " e = window.event;\n",
	+ " if (e.target)\n",
	+ " targ = e.target;\n",
	+ " else if (e.srcElement)\n",
	+ " targ = e.srcElement;\n",
	+ " if (targ.nodeType == 3) // defeat Safari bug\n",
	+ " targ = targ.parentNode;\n",
	+ "\n",
	+ " // jQuery normalizes the pageX and pageY\n",
	+ " // pageX,Y are the mouse positions relative to the document\n",
	+ " // offset() returns the position of the element relative to the document\n",
	+ " var x = e.pageX - $(targ).offset().left;\n",
	+ " var y = e.pageY - $(targ).offset().top;\n",
	+ "\n",
	+ " return {\"x\": x, \"y\": y};\n",
	+ "};\n",
	+ "\n",
	+ "/*\n",
	+ " * return a copy of an object with only non-object keys\n",
	+ " * we need this to avoid circular references\n",
	+ " * http://stackoverflow.com/a/24161582/3208463\n",
	+ " */\n",
	+ "function simpleKeys (original) {\n",
	+ " return Object.keys(original).reduce(function (obj, key) {\n",
	+ " if (typeof original[key] !== 'object')\n",
	+ " obj[key] = original[key]\n",
	+ " return obj;\n",
	+ " }, {});\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.mouse_event = function(event, name) {\n",
	+ " var canvas_pos = mpl.findpos(event)\n",
	+ "\n",
	+ " if (name === 'button_press')\n",
	+ " {\n",
	+ " this.canvas.focus();\n",
	+ " this.canvas_div.focus();\n",
	+ " }\n",
	+ "\n",
	+ " var x = canvas_pos.x * mpl.ratio;\n",
	+ " var y = canvas_pos.y * mpl.ratio;\n",
	+ "\n",
	+ " this.send_message(name, {x: x, y: y, button: event.button,\n",
	+ " step: event.step,\n",
	+ " guiEvent: simpleKeys(event)});\n",
	+ "\n",
	+ " /* This prevents the web browser from automatically changing to\n",
	+ " * the text insertion cursor when the button is pressed. We want\n",
	+ " * to control all of the cursor setting manually through the\n",
	+ " * 'cursor' event from matplotlib */\n",
	+ " event.preventDefault();\n",
	+ " return false;\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
	+ " // Handle any extra behaviour associated with a key event\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.key_event = function(event, name) {\n",
	+ "\n",
	+ " // Prevent repeat events\n",
	+ " if (name == 'key_press')\n",
	+ " {\n",
	+ " if (event.which === this._key)\n",
	+ " return;\n",
	+ " else\n",
	+ " this._key = event.which;\n",
	+ " }\n",
	+ " if (name == 'key_release')\n",
	+ " this._key = null;\n",
	+ "\n",
	+ " var value = '';\n",
	+ " if (event.ctrlKey && event.which != 17)\n",
	+ " value += \"ctrl+\";\n",
	+ " if (event.altKey && event.which != 18)\n",
	+ " value += \"alt+\";\n",
	+ " if (event.shiftKey && event.which != 16)\n",
	+ " value += \"shift+\";\n",
	+ "\n",
	+ " value += 'k';\n",
	+ " value += event.which.toString();\n",
	+ "\n",
	+ " this._key_event_extra(event, name);\n",
	+ "\n",
	+ " this.send_message(name, {key: value,\n",
	+ " guiEvent: simpleKeys(event)});\n",
	+ " return false;\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
	+ " if (name == 'download') {\n",
	+ " this.handle_save(this, null);\n",
	+ " } else {\n",
	+ " this.send_message(\"toolbar_button\", {name: name});\n",
	+ " }\n",
	+ "};\n",
	+ "\n",
	+ "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
	+ " this.message.textContent = tooltip;\n",
	+ "};\n",
	+ "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
	+ "\n",
	+ "mpl.extensions = [\"eps\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\n",
	+ "\n",
	+ "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
	+ " // Create a \"websocket\"-like object which calls the given IPython comm\n",
	+ " // object with the appropriate methods. Currently this is a non binary\n",
	+ " // socket, so there is still some room for performance tuning.\n",
	+ " var ws = {};\n",
	+ "\n",
	+ " ws.close = function() {\n",
	+ " comm.close()\n",
	+ " };\n",
	+ " ws.send = function(m) {\n",
	+ " //console.log('sending', m);\n",
	+ " comm.send(m);\n",
	+ " };\n",
	+ " // Register the callback with on_msg.\n",
	+ " comm.on_msg(function(msg) {\n",
	+ " //console.log('receiving', msg['content']['data'], msg);\n",
	+ " // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
	+ " ws.onmessage(msg['content']['data'])\n",
	+ " });\n",
	+ " return ws;\n",
	+ "}\n",
	+ "\n",
	+ "mpl.mpl_figure_comm = function(comm, msg) {\n",
	+ " // This is the function which gets called when the mpl process\n",
	+ " // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
	+ "\n",
	+ " var id = msg.content.data.id;\n",
	+ " // Get hold of the div created by the display call when the Comm\n",
	+ " // socket was opened in Python.\n",
	+ " var element = $(\"#\" + id);\n",
	+ " var ws_proxy = comm_websocket_adapter(comm)\n",
	+ "\n",
	+ " function ondownload(figure, format) {\n",
	+ " window.open(figure.imageObj.src);\n",
	+ " }\n",
	+ "\n",
	+ " var fig = new mpl.figure(id, ws_proxy,\n",
	+ " ondownload,\n",
	+ " element.get(0));\n",
	+ "\n",
	+ " // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
	+ " // web socket which is closed, not our websocket->open comm proxy.\n",
	+ " ws_proxy.onopen();\n",
	+ "\n",
	+ " fig.parent_element = element.get(0);\n",
	+ " fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
	+ " if (!fig.cell_info) {\n",
	+ " console.error(\"Failed to find cell for figure\", id, fig);\n",
	+ " return;\n",
	+ " }\n",
	+ "\n",
	+ " var output_index = fig.cell_info[2]\n",
	+ " var cell = fig.cell_info[0];\n",
	+ "\n",
	+ "};\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
	+ " var width = fig.canvas.width/mpl.ratio\n",
	+ " fig.root.unbind('remove')\n",
	+ "\n",
	+ " // Update the output cell to use the data from the current canvas.\n",
	+ " fig.push_to_output();\n",
	+ " var dataURL = fig.canvas.toDataURL();\n",
	+ " // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
	+ " // the notebook keyboard shortcuts fail.\n",
	+ " IPython.keyboard_manager.enable()\n",
	+ " $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
	+ " fig.close_ws(fig, msg);\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.close_ws = function(fig, msg){\n",
	+ " fig.send_message('closing', msg);\n",
	+ " // fig.ws.close()\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
	+ " // Turn the data on the canvas into data in the output cell.\n",
	+ " var width = this.canvas.width/mpl.ratio\n",
	+ " var dataURL = this.canvas.toDataURL();\n",
	+ " this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.updated_canvas_event = function() {\n",
	+ " // Tell IPython that the notebook contents must change.\n",
	+ " IPython.notebook.set_dirty(true);\n",
	+ " this.send_message(\"ack\", {});\n",
	+ " var fig = this;\n",
	+ " // Wait a second, then push the new image to the DOM so\n",
	+ " // that it is saved nicely (might be nice to debounce this).\n",
	+ " setTimeout(function () { fig.push_to_output() }, 1000);\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._init_toolbar = function() {\n",
	+ " var fig = this;\n",
	+ "\n",
	+ " var nav_element = $('<div/>')\n",
	+ " nav_element.attr('style', 'width: 100%');\n",
	+ " this.root.append(nav_element);\n",
	+ "\n",
	+ " // Define a callback function for later on.\n",
	+ " function toolbar_event(event) {\n",
	+ " return fig.toolbar_button_onclick(event['data']);\n",
	+ " }\n",
	+ " function toolbar_mouse_event(event) {\n",
	+ " return fig.toolbar_button_onmouseover(event['data']);\n",
	+ " }\n",
	+ "\n",
	+ " for(var toolbar_ind in mpl.toolbar_items){\n",
	+ " var name = mpl.toolbar_items[toolbar_ind][0];\n",
	+ " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
	+ " var image = mpl.toolbar_items[toolbar_ind][2];\n",
	+ " var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
	+ "\n",
	+ " if (!name) { continue; };\n",
	+ "\n",
	+ " var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
	+ " button.click(method_name, toolbar_event);\n",
	+ " button.mouseover(tooltip, toolbar_mouse_event);\n",
	+ " nav_element.append(button);\n",
	+ " }\n",
	+ "\n",
	+ " // Add the status bar.\n",
	+ " var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
	+ " nav_element.append(status_bar);\n",
	+ " this.message = status_bar[0];\n",
	+ "\n",
	+ " // Add the close button to the window.\n",
	+ " var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
	+ " var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
	+ " button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
	+ " button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
	+ " buttongrp.append(button);\n",
	+ " var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
	+ " titlebar.prepend(buttongrp);\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._root_extra_style = function(el){\n",
	+ " var fig = this\n",
	+ " el.on(\"remove\", function(){\n",
	+ "\tfig.close_ws(fig, {});\n",
	+ " });\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._canvas_extra_style = function(el){\n",
	+ " // this is important to make the div 'focusable\n",
	+ " el.attr('tabindex', 0)\n",
	+ " // reach out to IPython and tell the keyboard manager to turn it's self\n",
	+ " // off when our div gets focus\n",
	+ "\n",
	+ " // location in version 3\n",
	+ " if (IPython.notebook.keyboard_manager) {\n",
	+ " IPython.notebook.keyboard_manager.register_events(el);\n",
	+ " }\n",
	+ " else {\n",
	+ " // location in version 2\n",
	+ " IPython.keyboard_manager.register_events(el);\n",
	+ " }\n",
	+ "\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
	+ " var manager = IPython.notebook.keyboard_manager;\n",
	+ " if (!manager)\n",
	+ " manager = IPython.keyboard_manager;\n",
	+ "\n",
	+ " // Check for shift+enter\n",
	+ " if (event.shiftKey && event.which == 13) {\n",
	+ " this.canvas_div.blur();\n",
	+ " event.shiftKey = false;\n",
	+ " // Send a \"J\" for go to next cell\n",
	+ " event.which = 74;\n",
	+ " event.keyCode = 74;\n",
	+ " manager.command_mode();\n",
	+ " manager.handle_keydown(event);\n",
	+ " }\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
	+ " fig.ondownload(fig, null);\n",
	+ "}\n",
	+ "\n",
	+ "\n",
	+ "mpl.find_output_cell = function(html_output) {\n",
	+ " // Return the cell and output element which can be found uniquely in the notebook.\n",
	+ " // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
	+ " // IPython event is triggered only after the cells have been serialised, which for\n",
	+ " // our purposes (turning an active figure into a static one), is too late.\n",
	+ " var cells = IPython.notebook.get_cells();\n",
	+ " var ncells = cells.length;\n",
	+ " for (var i=0; i<ncells; i++) {\n",
	+ " var cell = cells[i];\n",
	+ " if (cell.cell_type === 'code'){\n",
	+ " for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
	+ " var data = cell.output_area.outputs[j];\n",
	+ " if (data.data) {\n",
	+ " // IPython >= 3 moved mimebundle to data attribute of output\n",
	+ " data = data.data;\n",
	+ " }\n",
	+ " if (data['text/html'] == html_output) {\n",
	+ " return [cell, data, j];\n",
	+ " }\n",
	+ " }\n",
	+ " }\n",
	+ " }\n",
	+ "}\n",
	+ "\n",
	+ "// Register the function which deals with the matplotlib target/channel.\n",
	+ "// The kernel may be null if the page has been refreshed.\n",
	+ "if (IPython.notebook.kernel != null) {\n",
	+ " IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
	+ "}\n"
	+ ],
	+ "text/plain": [
	+ "<IPython.core.display.Javascript object>"
	+ ]
	+ },
	+ "metadata": {},
	+ "output_type": "display_data"
	+ },
	+ {
	+ "data": {
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\" width=\"640\">"
	+ ],
	+ "text/plain": [
	+ "<IPython.core.display.HTML object>"
	+ ]
	+ },
	+ "metadata": {},
	+ "output_type": "display_data"
	+ }
	+ ],
	+ "source": [
	+ "plt.figure()\n",
	+ "proj_ds.SIS_CH.isel(time = 12).plot()\n",
	+ "plt.axis('equal')\n",
	+ "plt.show()"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 60,
	+ "metadata": {},
	+ "outputs": [],
	+ "source": [
	+ "# save to netcdf\n"
	+ ]
	+ },
	+ {
	+ "cell_type": "markdown",
	+ "metadata": {},
	+ "source": [
	+ "### CHECK"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 5,
	+ "metadata": {},
	+ "outputs": [
	+ {
	+ "data": {
	+ "text/plain": [
	+ "<xarray.Dataset>\n",
	+ "Dimensions: (lat: 103, lon: 241, time: 365)\n",
	+ "Coordinates:\n",
	+ " * time (time) datetime64[ns] 2010-01-01 ... 2010-12-31\n",
	+ " * lon (lon) float32 5.75 5.7708335 ... 10.729167 10.75\n",
	+ " * lat (lat) float32 45.75 45.770832 ... 47.854164 47.875\n",
	+ "Data variables:\n",
	+ " SIS (time, lat, lon) float64 ...\n",
	+ " geographic_projection \|S1 ..."
	+ ]
	+ },
	+ "execution_count": 5,
	+ "metadata": {},
	+ "output_type": "execute_result"
	+ }
	+ ],
	+ "source": [
	+ "xr.open_dataset('/Users/alinawalch/Downloads/MSG_SIS_H_2010.nc')"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 6,
	+ "metadata": {},
	+ "outputs": [
	+ {
	+ "data": {
	+ "text/plain": [
	+ "<xarray.Dataset>\n",
	+ "Dimensions: (time: 366, x: 370, y: 240)\n",
	+ "Coordinates:\n",
	+ " * x (x) float32 474500.0 475500.0 476500.0 ... 842500.0 843500.0\n",
	+ " * y (y) float32 303500.0 302500.0 301500.0 ... 66500.0 65500.0 64500.0\n",
	+ " * time (time) datetime64[ns] 2004-01-01 2004-01-02 ... 2004-12-31\n",
	+ "Data variables:\n",
	+ " crs \|S1 ...\n",
	+ " SIS_CH (time, y, x) float64 ...\n",
	+ "Attributes:\n",
	+ " Conventions: CF-1.5\n",
	+ " history: GRASS GIS 7 netCDF export of r3.out.netcdf"
	+ ]
	+ },
	+ "execution_count": 6,
	+ "metadata": {},
	+ "output_type": "execute_result"
	+ }
	+ ],
	+ "source": [
	+ "xr.open_dataset('/Users/alinawalch/Documents/MSG_SIS_D_2004_nearest.nc')"
	+ ]
	+ },
	+ {
	+ "cell_type": "markdown",
	+ "metadata": {},
	+ "source": [
	+ "# SPIELWIESE"
	+ ]
	+ },
	+ {
	+ "cell_type": "markdown",
	+ "metadata": {},
	+ "source": [
	+ "## Historic satellite data (Precipitation)"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 16,
	+ "metadata": {},
	+ "outputs": [],
	+ "source": [
	+ "# Read test file of daily precipitation (year 1994):\n",
	+ "RhiresD = '/Users/alinawalch/Downloads/RhiresD_ch01r.swisscors_199201010000_199212310000.nc'\n",
	+ "RhiresD = xr.open_dataset(RhiresD)"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 31,
	+ "metadata": {},
	+ "outputs": [
	+ {
	+ "data": {
	+ "text/plain": [
	+ "<xarray.Dataset>\n",
	+ "Dimensions: (chx: 370, chy: 240, dummy: 1, time: 366)\n",
	+ "Coordinates:\n",
	+ " * dummy (dummy) float64 1.0\n",
	+ " * chx (chx) float64 4.745e+05 4.755e+05 ... 8.425e+05 8.435e+05\n",
	+ " * chy (chy) float64 6.45e+04 6.55e+04 ... 3.025e+05 3.035e+05\n",
	+ " * time (time) datetime64[ns] 1992-01-01 ... 1992-12-31\n",
	+ " lon (chy, chx) float32 ...\n",
	+ " lat (chy, chx) float32 ...\n",
	+ "Data variables:\n",
	+ " swiss_coordinates (dummy) float64 ...\n",
	+ " RhiresD (time, chy, chx) float32 ...\n",
	+ "Attributes:\n",
	+ " Conventions: CF-1.6\n",
	+ " institution: Federal Office of Meteorology and Climatology MeteoSwiss\n",
	+ " References: "
	+ ]
	+ },
	+ "execution_count": 31,
	+ "metadata": {},
	+ "output_type": "execute_result"
	+ }
	+ ],
	+ "source": [
	+ "RhiresD"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 4,
	+ "metadata": {},
	+ "outputs": [
	+ {
	+ "data": {
	+ "text/plain": [
	+ "<xarray.DataArray 'swiss_coordinates' (dummy: 1)>\n",
	+ "array([1.])\n",
	+ "Coordinates:\n",
	+ " * dummy (dummy) float64 1.0\n",
	+ "Attributes:\n",
	+ " grid_mapping_name: Oblique Mercator (CH1903)\n",
	+ " longitude_of_projection_center: 7.43958333\n",
	+ " latitude_of_projection_center: 46.9524056\n",
	+ " false_easting: 600000.0\n",
	+ " false_northing: 200000.0\n",
	+ " inverse_flattening: 299.1528128\n",
	+ " semi_major_axis: 6377397.155"
	+ ]
	+ },
	+ "execution_count": 4,
	+ "metadata": {},
	+ "output_type": "execute_result"
	+ }
	+ ],
	+ "source": [
	+ "RhiresD.swiss_coordinates"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 6,
	+ "metadata": {},
	+ "outputs": [
	+ {
	+ "data": {
	+ "application/javascript": [
	+ "/* Put everything inside the global mpl namespace */\n",
	+ "window.mpl = {};\n",
	+ "\n",
	+ "\n",
	+ "mpl.get_websocket_type = function() {\n",
	+ " if (typeof(WebSocket) !== 'undefined') {\n",
	+ " return WebSocket;\n",
	+ " } else if (typeof(MozWebSocket) !== 'undefined') {\n",
	+ " return MozWebSocket;\n",
	+ " } else {\n",
	+ " alert('Your browser does not have WebSocket support.' +\n",
	+ " 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
	+ " 'Firefox 4 and 5 are also supported but you ' +\n",
	+ " 'have to enable WebSockets in about:config.');\n",
	+ " };\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
	+ " this.id = figure_id;\n",
	+ "\n",
	+ " this.ws = websocket;\n",
	+ "\n",
	+ " this.supports_binary = (this.ws.binaryType != undefined);\n",
	+ "\n",
	+ " if (!this.supports_binary) {\n",
	+ " var warnings = document.getElementById(\"mpl-warnings\");\n",
	+ " if (warnings) {\n",
	+ " warnings.style.display = 'block';\n",
	+ " warnings.textContent = (\n",
	+ " \"This browser does not support binary websocket messages. \" +\n",
	+ " \"Performance may be slow.\");\n",
	+ " }\n",
	+ " }\n",
	+ "\n",
	+ " this.imageObj = new Image();\n",
	+ "\n",
	+ " this.context = undefined;\n",
	+ " this.message = undefined;\n",
	+ " this.canvas = undefined;\n",
	+ " this.rubberband_canvas = undefined;\n",
	+ " this.rubberband_context = undefined;\n",
	+ " this.format_dropdown = undefined;\n",
	+ "\n",
	+ " this.image_mode = 'full';\n",
	+ "\n",
	+ " this.root = $('<div/>');\n",
	+ " this._root_extra_style(this.root)\n",
	+ " this.root.attr('style', 'display: inline-block');\n",
	+ "\n",
	+ " $(parent_element).append(this.root);\n",
	+ "\n",
	+ " this._init_header(this);\n",
	+ " this._init_canvas(this);\n",
	+ " this._init_toolbar(this);\n",
	+ "\n",
	+ " var fig = this;\n",
	+ "\n",
	+ " this.waiting = false;\n",
	+ "\n",
	+ " this.ws.onopen = function () {\n",
	+ " fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
	+ " fig.send_message(\"send_image_mode\", {});\n",
	+ " if (mpl.ratio != 1) {\n",
	+ " fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
	+ " }\n",
	+ " fig.send_message(\"refresh\", {});\n",
	+ " }\n",
	+ "\n",
	+ " this.imageObj.onload = function() {\n",
	+ " if (fig.image_mode == 'full') {\n",
	+ " // Full images could contain transparency (where diff images\n",
	+ " // almost always do), so we need to clear the canvas so that\n",
	+ " // there is no ghosting.\n",
	+ " fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
	+ " }\n",
	+ " fig.context.drawImage(fig.imageObj, 0, 0);\n",
	+ " };\n",
	+ "\n",
	+ " this.imageObj.onunload = function() {\n",
	+ " fig.ws.close();\n",
	+ " }\n",
	+ "\n",
	+ " this.ws.onmessage = this._make_on_message_function(this);\n",
	+ "\n",
	+ " this.ondownload = ondownload;\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._init_header = function() {\n",
	+ " var titlebar = $(\n",
	+ " '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
	+ " 'ui-helper-clearfix\"/>');\n",
	+ " var titletext = $(\n",
	+ " '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
	+ " 'text-align: center; padding: 3px;\"/>');\n",
	+ " titlebar.append(titletext)\n",
	+ " this.root.append(titlebar);\n",
	+ " this.header = titletext[0];\n",
	+ "}\n",
	+ "\n",
	+ "\n",
	+ "\n",
	+ "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
	+ "\n",
	+ "}\n",
	+ "\n",
	+ "\n",
	+ "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
	+ "\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._init_canvas = function() {\n",
	+ " var fig = this;\n",
	+ "\n",
	+ " var canvas_div = $('<div/>');\n",
	+ "\n",
	+ " canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
	+ "\n",
	+ " function canvas_keyboard_event(event) {\n",
	+ " return fig.key_event(event, event['data']);\n",
	+ " }\n",
	+ "\n",
	+ " canvas_div.keydown('key_press', canvas_keyboard_event);\n",
	+ " canvas_div.keyup('key_release', canvas_keyboard_event);\n",
	+ " this.canvas_div = canvas_div\n",
	+ " this._canvas_extra_style(canvas_div)\n",
	+ " this.root.append(canvas_div);\n",
	+ "\n",
	+ " var canvas = $('<canvas/>');\n",
	+ " canvas.addClass('mpl-canvas');\n",
	+ " canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
	+ "\n",
	+ " this.canvas = canvas[0];\n",
	+ " this.context = canvas[0].getContext(\"2d\");\n",
	+ "\n",
	+ " var backingStore = this.context.backingStorePixelRatio \|\|\n",
	+ "\tthis.context.webkitBackingStorePixelRatio \|\|\n",
	+ "\tthis.context.mozBackingStorePixelRatio \|\|\n",
	+ "\tthis.context.msBackingStorePixelRatio \|\|\n",
	+ "\tthis.context.oBackingStorePixelRatio \|\|\n",
	+ "\tthis.context.backingStorePixelRatio \|\| 1;\n",
	+ "\n",
	+ " mpl.ratio = (window.devicePixelRatio \|\| 1) / backingStore;\n",
	+ "\n",
	+ " var rubberband = $('<canvas/>');\n",
	+ " rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
	+ "\n",
	+ " var pass_mouse_events = true;\n",
	+ "\n",
	+ " canvas_div.resizable({\n",
	+ " start: function(event, ui) {\n",
	+ " pass_mouse_events = false;\n",
	+ " },\n",
	+ " resize: function(event, ui) {\n",
	+ " fig.request_resize(ui.size.width, ui.size.height);\n",
	+ " },\n",
	+ " stop: function(event, ui) {\n",
	+ " pass_mouse_events = true;\n",
	+ " fig.request_resize(ui.size.width, ui.size.height);\n",
	+ " },\n",
	+ " });\n",
	+ "\n",
	+ " function mouse_event_fn(event) {\n",
	+ " if (pass_mouse_events)\n",
	+ " return fig.mouse_event(event, event['data']);\n",
	+ " }\n",
	+ "\n",
	+ " rubberband.mousedown('button_press', mouse_event_fn);\n",
	+ " rubberband.mouseup('button_release', mouse_event_fn);\n",
	+ " // Throttle sequential mouse events to 1 every 20ms.\n",
	+ " rubberband.mousemove('motion_notify', mouse_event_fn);\n",
	+ "\n",
	+ " rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
	+ " rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
	+ "\n",
	+ " canvas_div.on(\"wheel\", function (event) {\n",
	+ " event = event.originalEvent;\n",
	+ " event['data'] = 'scroll'\n",
	+ " if (event.deltaY < 0) {\n",
	+ " event.step = 1;\n",
	+ " } else {\n",
	+ " event.step = -1;\n",
	+ " }\n",
	+ " mouse_event_fn(event);\n",
	+ " });\n",
	+ "\n",
	+ " canvas_div.append(canvas);\n",
	+ " canvas_div.append(rubberband);\n",
	+ "\n",
	+ " this.rubberband = rubberband;\n",
	+ " this.rubberband_canvas = rubberband[0];\n",
	+ " this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
	+ " this.rubberband_context.strokeStyle = \"#000000\";\n",
	+ "\n",
	+ " this._resize_canvas = function(width, height) {\n",
	+ " // Keep the size of the canvas, canvas container, and rubber band\n",
	+ " // canvas in synch.\n",
	+ " canvas_div.css('width', width)\n",
	+ " canvas_div.css('height', height)\n",
	+ "\n",
	+ " canvas.attr('width', width * mpl.ratio);\n",
	+ " canvas.attr('height', height * mpl.ratio);\n",
	+ " canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
	+ "\n",
	+ " rubberband.attr('width', width);\n",
	+ " rubberband.attr('height', height);\n",
	+ " }\n",
	+ "\n",
	+ " // Set the figure to an initial 600x600px, this will subsequently be updated\n",
	+ " // upon first draw.\n",
	+ " this._resize_canvas(600, 600);\n",
	+ "\n",
	+ " // Disable right mouse context menu.\n",
	+ " $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
	+ " return false;\n",
	+ " });\n",
	+ "\n",
	+ " function set_focus () {\n",
	+ " canvas.focus();\n",
	+ " canvas_div.focus();\n",
	+ " }\n",
	+ "\n",
	+ " window.setTimeout(set_focus, 100);\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._init_toolbar = function() {\n",
	+ " var fig = this;\n",
	+ "\n",
	+ " var nav_element = $('<div/>')\n",
	+ " nav_element.attr('style', 'width: 100%');\n",
	+ " this.root.append(nav_element);\n",
	+ "\n",
	+ " // Define a callback function for later on.\n",
	+ " function toolbar_event(event) {\n",
	+ " return fig.toolbar_button_onclick(event['data']);\n",
	+ " }\n",
	+ " function toolbar_mouse_event(event) {\n",
	+ " return fig.toolbar_button_onmouseover(event['data']);\n",
	+ " }\n",
	+ "\n",
	+ " for(var toolbar_ind in mpl.toolbar_items) {\n",
	+ " var name = mpl.toolbar_items[toolbar_ind][0];\n",
	+ " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
	+ " var image = mpl.toolbar_items[toolbar_ind][2];\n",
	+ " var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
	+ "\n",
	+ " if (!name) {\n",
	+ " // put a spacer in here.\n",
	+ " continue;\n",
	+ " }\n",
	+ " var button = $('<button/>');\n",
	+ " button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
	+ " 'ui-button-icon-only');\n",
	+ " button.attr('role', 'button');\n",
	+ " button.attr('aria-disabled', 'false');\n",
	+ " button.click(method_name, toolbar_event);\n",
	+ " button.mouseover(tooltip, toolbar_mouse_event);\n",
	+ "\n",
	+ " var icon_img = $('<span/>');\n",
	+ " icon_img.addClass('ui-button-icon-primary ui-icon');\n",
	+ " icon_img.addClass(image);\n",
	+ " icon_img.addClass('ui-corner-all');\n",
	+ "\n",
	+ " var tooltip_span = $('<span/>');\n",
	+ " tooltip_span.addClass('ui-button-text');\n",
	+ " tooltip_span.html(tooltip);\n",
	+ "\n",
	+ " button.append(icon_img);\n",
	+ " button.append(tooltip_span);\n",
	+ "\n",
	+ " nav_element.append(button);\n",
	+ " }\n",
	+ "\n",
	+ " var fmt_picker_span = $('<span/>');\n",
	+ "\n",
	+ " var fmt_picker = $('<select/>');\n",
	+ " fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
	+ " fmt_picker_span.append(fmt_picker);\n",
	+ " nav_element.append(fmt_picker_span);\n",
	+ " this.format_dropdown = fmt_picker[0];\n",
	+ "\n",
	+ " for (var ind in mpl.extensions) {\n",
	+ " var fmt = mpl.extensions[ind];\n",
	+ " var option = $(\n",
	+ " '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
	+ " fmt_picker.append(option)\n",
	+ " }\n",
	+ "\n",
	+ " // Add hover states to the ui-buttons\n",
	+ " $( \".ui-button\" ).hover(\n",
	+ " function() { $(this).addClass(\"ui-state-hover\");},\n",
	+ " function() { $(this).removeClass(\"ui-state-hover\");}\n",
	+ " );\n",
	+ "\n",
	+ " var status_bar = $('<span class=\"mpl-message\"/>');\n",
	+ " nav_element.append(status_bar);\n",
	+ " this.message = status_bar[0];\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
	+ " // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
	+ " // which will in turn request a refresh of the image.\n",
	+ " this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.send_message = function(type, properties) {\n",
	+ " properties['type'] = type;\n",
	+ " properties['figure_id'] = this.id;\n",
	+ " this.ws.send(JSON.stringify(properties));\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.send_draw_message = function() {\n",
	+ " if (!this.waiting) {\n",
	+ " this.waiting = true;\n",
	+ " this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
	+ " }\n",
	+ "}\n",
	+ "\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
	+ " var format_dropdown = fig.format_dropdown;\n",
	+ " var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
	+ " fig.ondownload(fig, format);\n",
	+ "}\n",
	+ "\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
	+ " var size = msg['size'];\n",
	+ " if (size[0] != fig.canvas.width \|\| size[1] != fig.canvas.height) {\n",
	+ " fig._resize_canvas(size[0], size[1]);\n",
	+ " fig.send_message(\"refresh\", {});\n",
	+ " };\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
	+ " var x0 = msg['x0'] / mpl.ratio;\n",
	+ " var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
	+ " var x1 = msg['x1'] / mpl.ratio;\n",
	+ " var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
	+ " x0 = Math.floor(x0) + 0.5;\n",
	+ " y0 = Math.floor(y0) + 0.5;\n",
	+ " x1 = Math.floor(x1) + 0.5;\n",
	+ " y1 = Math.floor(y1) + 0.5;\n",
	+ " var min_x = Math.min(x0, x1);\n",
	+ " var min_y = Math.min(y0, y1);\n",
	+ " var width = Math.abs(x1 - x0);\n",
	+ " var height = Math.abs(y1 - y0);\n",
	+ "\n",
	+ " fig.rubberband_context.clearRect(\n",
	+ " 0, 0, fig.canvas.width, fig.canvas.height);\n",
	+ "\n",
	+ " fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
	+ " // Updates the figure title.\n",
	+ " fig.header.textContent = msg['label'];\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
	+ " var cursor = msg['cursor'];\n",
	+ " switch(cursor)\n",
	+ " {\n",
	+ " case 0:\n",
	+ " cursor = 'pointer';\n",
	+ " break;\n",
	+ " case 1:\n",
	+ " cursor = 'default';\n",
	+ " break;\n",
	+ " case 2:\n",
	+ " cursor = 'crosshair';\n",
	+ " break;\n",
	+ " case 3:\n",
	+ " cursor = 'move';\n",
	+ " break;\n",
	+ " }\n",
	+ " fig.rubberband_canvas.style.cursor = cursor;\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
	+ " fig.message.textContent = msg['message'];\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
	+ " // Request the server to send over a new figure.\n",
	+ " fig.send_draw_message();\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
	+ " fig.image_mode = msg['mode'];\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.updated_canvas_event = function() {\n",
	+ " // Called whenever the canvas gets updated.\n",
	+ " this.send_message(\"ack\", {});\n",
	+ "}\n",
	+ "\n",
	+ "// A function to construct a web socket function for onmessage handling.\n",
	+ "// Called in the figure constructor.\n",
	+ "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
	+ " return function socket_on_message(evt) {\n",
	+ " if (evt.data instanceof Blob) {\n",
	+ " /* FIXME: We get \"Resource interpreted as Image but\n",
	+ " * transferred with MIME type text/plain:\" errors on\n",
	+ " * Chrome. But how to set the MIME type? It doesn't seem\n",
	+ " * to be part of the websocket stream */\n",
	+ " evt.data.type = \"image/png\";\n",
	+ "\n",
	+ " /* Free the memory for the previous frames */\n",
	+ " if (fig.imageObj.src) {\n",
	+ " (window.URL \|\| window.webkitURL).revokeObjectURL(\n",
	+ " fig.imageObj.src);\n",
	+ " }\n",
	+ "\n",
	+ " fig.imageObj.src = (window.URL \|\| window.webkitURL).createObjectURL(\n",
	+ " evt.data);\n",
	+ " fig.updated_canvas_event();\n",
	+ " fig.waiting = false;\n",
	+ " return;\n",
	+ " }\n",
	+ " else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
	+ " fig.imageObj.src = evt.data;\n",
	+ " fig.updated_canvas_event();\n",
	+ " fig.waiting = false;\n",
	+ " return;\n",
	+ " }\n",
	+ "\n",
	+ " var msg = JSON.parse(evt.data);\n",
	+ " var msg_type = msg['type'];\n",
	+ "\n",
	+ " // Call the \"handle_{type}\" callback, which takes\n",
	+ " // the figure and JSON message as its only arguments.\n",
	+ " try {\n",
	+ " var callback = fig[\"handle_\" + msg_type];\n",
	+ " } catch (e) {\n",
	+ " console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
	+ " return;\n",
	+ " }\n",
	+ "\n",
	+ " if (callback) {\n",
	+ " try {\n",
	+ " // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
	+ " callback(fig, msg);\n",
	+ " } catch (e) {\n",
	+ " console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
	+ " }\n",
	+ " }\n",
	+ " };\n",
	+ "}\n",
	+ "\n",
	+ "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
	+ "mpl.findpos = function(e) {\n",
	+ " //this section is from http://www.quirksmode.org/js/events_properties.html\n",
	+ " var targ;\n",
	+ " if (!e)\n",
	+ " e = window.event;\n",
	+ " if (e.target)\n",
	+ " targ = e.target;\n",
	+ " else if (e.srcElement)\n",
	+ " targ = e.srcElement;\n",
	+ " if (targ.nodeType == 3) // defeat Safari bug\n",
	+ " targ = targ.parentNode;\n",
	+ "\n",
	+ " // jQuery normalizes the pageX and pageY\n",
	+ " // pageX,Y are the mouse positions relative to the document\n",
	+ " // offset() returns the position of the element relative to the document\n",
	+ " var x = e.pageX - $(targ).offset().left;\n",
	+ " var y = e.pageY - $(targ).offset().top;\n",
	+ "\n",
	+ " return {\"x\": x, \"y\": y};\n",
	+ "};\n",
	+ "\n",
	+ "/*\n",
	+ " * return a copy of an object with only non-object keys\n",
	+ " * we need this to avoid circular references\n",
	+ " * http://stackoverflow.com/a/24161582/3208463\n",
	+ " */\n",
	+ "function simpleKeys (original) {\n",
	+ " return Object.keys(original).reduce(function (obj, key) {\n",
	+ " if (typeof original[key] !== 'object')\n",
	+ " obj[key] = original[key]\n",
	+ " return obj;\n",
	+ " }, {});\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.mouse_event = function(event, name) {\n",
	+ " var canvas_pos = mpl.findpos(event)\n",
	+ "\n",
	+ " if (name === 'button_press')\n",
	+ " {\n",
	+ " this.canvas.focus();\n",
	+ " this.canvas_div.focus();\n",
	+ " }\n",
	+ "\n",
	+ " var x = canvas_pos.x * mpl.ratio;\n",
	+ " var y = canvas_pos.y * mpl.ratio;\n",
	+ "\n",
	+ " this.send_message(name, {x: x, y: y, button: event.button,\n",
	+ " step: event.step,\n",
	+ " guiEvent: simpleKeys(event)});\n",
	+ "\n",
	+ " /* This prevents the web browser from automatically changing to\n",
	+ " * the text insertion cursor when the button is pressed. We want\n",
	+ " * to control all of the cursor setting manually through the\n",
	+ " * 'cursor' event from matplotlib */\n",
	+ " event.preventDefault();\n",
	+ " return false;\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
	+ " // Handle any extra behaviour associated with a key event\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.key_event = function(event, name) {\n",
	+ "\n",
	+ " // Prevent repeat events\n",
	+ " if (name == 'key_press')\n",
	+ " {\n",
	+ " if (event.which === this._key)\n",
	+ " return;\n",
	+ " else\n",
	+ " this._key = event.which;\n",
	+ " }\n",
	+ " if (name == 'key_release')\n",
	+ " this._key = null;\n",
	+ "\n",
	+ " var value = '';\n",
	+ " if (event.ctrlKey && event.which != 17)\n",
	+ " value += \"ctrl+\";\n",
	+ " if (event.altKey && event.which != 18)\n",
	+ " value += \"alt+\";\n",
	+ " if (event.shiftKey && event.which != 16)\n",
	+ " value += \"shift+\";\n",
	+ "\n",
	+ " value += 'k';\n",
	+ " value += event.which.toString();\n",
	+ "\n",
	+ " this._key_event_extra(event, name);\n",
	+ "\n",
	+ " this.send_message(name, {key: value,\n",
	+ " guiEvent: simpleKeys(event)});\n",
	+ " return false;\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
	+ " if (name == 'download') {\n",
	+ " this.handle_save(this, null);\n",
	+ " } else {\n",
	+ " this.send_message(\"toolbar_button\", {name: name});\n",
	+ " }\n",
	+ "};\n",
	+ "\n",
	+ "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
	+ " this.message.textContent = tooltip;\n",
	+ "};\n",
	+ "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
	+ "\n",
	+ "mpl.extensions = [\"eps\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\n",
	+ "\n",
	+ "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
	+ " // Create a \"websocket\"-like object which calls the given IPython comm\n",
	+ " // object with the appropriate methods. Currently this is a non binary\n",
	+ " // socket, so there is still some room for performance tuning.\n",
	+ " var ws = {};\n",
	+ "\n",
	+ " ws.close = function() {\n",
	+ " comm.close()\n",
	+ " };\n",
	+ " ws.send = function(m) {\n",
	+ " //console.log('sending', m);\n",
	+ " comm.send(m);\n",
	+ " };\n",
	+ " // Register the callback with on_msg.\n",
	+ " comm.on_msg(function(msg) {\n",
	+ " //console.log('receiving', msg['content']['data'], msg);\n",
	+ " // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
	+ " ws.onmessage(msg['content']['data'])\n",
	+ " });\n",
	+ " return ws;\n",
	+ "}\n",
	+ "\n",
	+ "mpl.mpl_figure_comm = function(comm, msg) {\n",
	+ " // This is the function which gets called when the mpl process\n",
	+ " // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
	+ "\n",
	+ " var id = msg.content.data.id;\n",
	+ " // Get hold of the div created by the display call when the Comm\n",
	+ " // socket was opened in Python.\n",
	+ " var element = $(\"#\" + id);\n",
	+ " var ws_proxy = comm_websocket_adapter(comm)\n",
	+ "\n",
	+ " function ondownload(figure, format) {\n",
	+ " window.open(figure.imageObj.src);\n",
	+ " }\n",
	+ "\n",
	+ " var fig = new mpl.figure(id, ws_proxy,\n",
	+ " ondownload,\n",
	+ " element.get(0));\n",
	+ "\n",
	+ " // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
	+ " // web socket which is closed, not our websocket->open comm proxy.\n",
	+ " ws_proxy.onopen();\n",
	+ "\n",
	+ " fig.parent_element = element.get(0);\n",
	+ " fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
	+ " if (!fig.cell_info) {\n",
	+ " console.error(\"Failed to find cell for figure\", id, fig);\n",
	+ " return;\n",
	+ " }\n",
	+ "\n",
	+ " var output_index = fig.cell_info[2]\n",
	+ " var cell = fig.cell_info[0];\n",
	+ "\n",
	+ "};\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
	+ " var width = fig.canvas.width/mpl.ratio\n",
	+ " fig.root.unbind('remove')\n",
	+ "\n",
	+ " // Update the output cell to use the data from the current canvas.\n",
	+ " fig.push_to_output();\n",
	+ " var dataURL = fig.canvas.toDataURL();\n",
	+ " // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
	+ " // the notebook keyboard shortcuts fail.\n",
	+ " IPython.keyboard_manager.enable()\n",
	+ " $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
	+ " fig.close_ws(fig, msg);\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.close_ws = function(fig, msg){\n",
	+ " fig.send_message('closing', msg);\n",
	+ " // fig.ws.close()\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
	+ " // Turn the data on the canvas into data in the output cell.\n",
	+ " var width = this.canvas.width/mpl.ratio\n",
	+ " var dataURL = this.canvas.toDataURL();\n",
	+ " this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.updated_canvas_event = function() {\n",
	+ " // Tell IPython that the notebook contents must change.\n",
	+ " IPython.notebook.set_dirty(true);\n",
	+ " this.send_message(\"ack\", {});\n",
	+ " var fig = this;\n",
	+ " // Wait a second, then push the new image to the DOM so\n",
	+ " // that it is saved nicely (might be nice to debounce this).\n",
	+ " setTimeout(function () { fig.push_to_output() }, 1000);\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._init_toolbar = function() {\n",
	+ " var fig = this;\n",
	+ "\n",
	+ " var nav_element = $('<div/>')\n",
	+ " nav_element.attr('style', 'width: 100%');\n",
	+ " this.root.append(nav_element);\n",
	+ "\n",
	+ " // Define a callback function for later on.\n",
	+ " function toolbar_event(event) {\n",
	+ " return fig.toolbar_button_onclick(event['data']);\n",
	+ " }\n",
	+ " function toolbar_mouse_event(event) {\n",
	+ " return fig.toolbar_button_onmouseover(event['data']);\n",
	+ " }\n",
	+ "\n",
	+ " for(var toolbar_ind in mpl.toolbar_items){\n",
	+ " var name = mpl.toolbar_items[toolbar_ind][0];\n",
	+ " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
	+ " var image = mpl.toolbar_items[toolbar_ind][2];\n",
	+ " var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
	+ "\n",
	+ " if (!name) { continue; };\n",
	+ "\n",
	+ " var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
	+ " button.click(method_name, toolbar_event);\n",
	+ " button.mouseover(tooltip, toolbar_mouse_event);\n",
	+ " nav_element.append(button);\n",
	+ " }\n",
	+ "\n",
	+ " // Add the status bar.\n",
	+ " var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
	+ " nav_element.append(status_bar);\n",
	+ " this.message = status_bar[0];\n",
	+ "\n",
	+ " // Add the close button to the window.\n",
	+ " var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
	+ " var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
	+ " button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
	+ " button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
	+ " buttongrp.append(button);\n",
	+ " var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
	+ " titlebar.prepend(buttongrp);\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._root_extra_style = function(el){\n",
	+ " var fig = this\n",
	+ " el.on(\"remove\", function(){\n",
	+ "\tfig.close_ws(fig, {});\n",
	+ " });\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._canvas_extra_style = function(el){\n",
	+ " // this is important to make the div 'focusable\n",
	+ " el.attr('tabindex', 0)\n",
	+ " // reach out to IPython and tell the keyboard manager to turn it's self\n",
	+ " // off when our div gets focus\n",
	+ "\n",
	+ " // location in version 3\n",
	+ " if (IPython.notebook.keyboard_manager) {\n",
	+ " IPython.notebook.keyboard_manager.register_events(el);\n",
	+ " }\n",
	+ " else {\n",
	+ " // location in version 2\n",
	+ " IPython.keyboard_manager.register_events(el);\n",
	+ " }\n",
	+ "\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
	+ " var manager = IPython.notebook.keyboard_manager;\n",
	+ " if (!manager)\n",
	+ " manager = IPython.keyboard_manager;\n",
	+ "\n",
	+ " // Check for shift+enter\n",
	+ " if (event.shiftKey && event.which == 13) {\n",
	+ " this.canvas_div.blur();\n",
	+ " event.shiftKey = false;\n",
	+ " // Send a \"J\" for go to next cell\n",
	+ " event.which = 74;\n",
	+ " event.keyCode = 74;\n",
	+ " manager.command_mode();\n",
	+ " manager.handle_keydown(event);\n",
	+ " }\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
	+ " fig.ondownload(fig, null);\n",
	+ "}\n",
	+ "\n",
	+ "\n",
	+ "mpl.find_output_cell = function(html_output) {\n",
	+ " // Return the cell and output element which can be found uniquely in the notebook.\n",
	+ " // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
	+ " // IPython event is triggered only after the cells have been serialised, which for\n",
	+ " // our purposes (turning an active figure into a static one), is too late.\n",
	+ " var cells = IPython.notebook.get_cells();\n",
	+ " var ncells = cells.length;\n",
	+ " for (var i=0; i<ncells; i++) {\n",
	+ " var cell = cells[i];\n",
	+ " if (cell.cell_type === 'code'){\n",
	+ " for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
	+ " var data = cell.output_area.outputs[j];\n",
	+ " if (data.data) {\n",
	+ " // IPython >= 3 moved mimebundle to data attribute of output\n",
	+ " data = data.data;\n",
	+ " }\n",
	+ " if (data['text/html'] == html_output) {\n",
	+ " return [cell, data, j];\n",
	+ " }\n",
	+ " }\n",
	+ " }\n",
	+ " }\n",
	+ "}\n",
	+ "\n",
	+ "// Register the function which deals with the matplotlib target/channel.\n",
	+ "// The kernel may be null if the page has been refreshed.\n",
	+ "if (IPython.notebook.kernel != null) {\n",
	+ " IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
	+ "}\n"
	+ ],
	+ "text/plain": [
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	+ ]
	+ },
	+ "metadata": {},
	+ "output_type": "display_data"
	+ },
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\" width=\"640\">"
	+ ],
	+ "text/plain": [
	+ "<IPython.core.display.HTML object>"
	+ ]
	+ },
	+ "metadata": {},
	+ "output_type": "display_data"
	+ },
	+ {
	+ "data": {
	+ "text/plain": [
	+ "(474000.0, 844000.0, 64000.0, 304000.0)"
	+ ]
	+ },
	+ "execution_count": 6,
	+ "metadata": {},
	+ "output_type": "execute_result"
	+ }
	+ ],
	+ "source": [
	+ "d = 150\n",
	+ "\n",
	+ "plt.figure()\n",
	+ "RhiresD.isel(time = d).RhiresD.plot()\n",
	+ "plt.axis('equal')"
	+ ]
	+ },
	+ {
	+ "cell_type": "markdown",
	+ "metadata": {},
	+ "source": [
	+ "#### Conclusion:\n",
	+ "- 1x1km grid over Switzerland\n",
	+ "- Daily resolution"
	+ ]
	+ },
	+ {
	+ "cell_type": "markdown",
	+ "metadata": {},
	+ "source": [
	+ "## Historic satellite data (radiation)"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 17,
	+ "metadata": {},
	+ "outputs": [],
	+ "source": [
	+ "SIS_H_file = '/Users/alinawalch/Downloads/msg.SIS.H_ch02.lonlat_20151230000000.nc'\n",
	+ "SIS_H = xr.open_dataset(SIS_H_file)"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 22,
	+ "metadata": {},
	+ "outputs": [
	+ {
	+ "data": {
	+ "text/plain": [
	+ "<xarray.Dataset>\n",
	+ "Dimensions: (lat: 103, lon: 241, time: 24)\n",
	+ "Coordinates:\n",
	+ " * lon (lon) float32 5.75 5.7708335 ... 10.729167 10.75\n",
	+ " * lat (lat) float32 45.75 45.770832 ... 47.854164 47.875\n",
	+ " * time (time) datetime64[ns] 2015-12-30 ... 2015-12-30T23:00:00\n",
	+ "Data variables:\n",
	+ " geographic_projection \|S1 ...\n",
	+ " SIS (time, lat, lon) float32 ...\n",
	+ "Attributes:\n",
	+ " Title: The HelioMont Surface Solar Radiation Process...\n",
	+ " Summary: Composited surface states, cloud properties a...\n",
	+ " Institution: Federal Office of Meteorology and Climatology...\n",
	+ " References: Reto Stockli (2013). The HelioMont Surface So...\n",
	+ " Conventions: CF-1.5\n",
	+ " Metadata_Conventions: Unidata Dataset Discovery v1.0\n",
	+ " Digital_Object_Identifier: not assigned\n",
	+ " Creator_Name: Reto Stockli\n",
	+ " Creator_Email: reto.stoeckli@meteoswiss.ch\n",
	+ " Creator_Url: http://www.meteoswiss.ch"
	+ ]
	+ },
	+ "execution_count": 22,
	+ "metadata": {},
	+ "output_type": "execute_result"
	+ }
	+ ],
	+ "source": [
	+ "SIS_H"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 12,
	+ "metadata": {},
	+ "outputs": [
	+ {
	+ "data": {
	+ "text/plain": [
	+ "<xarray.DataArray 'geographic_projection' ()>\n",
	+ "array(b'', dtype='\|S1')\n",
	+ "Attributes:\n",
	+ " grid_mapping_name: latitude_longitude\n",
	+ " datum: wgs84\n",
	+ " semi_major_axis: 6378137.0\n",
	+ " semi_minor_axis: 6356752.3\n",
	+ " spatial_ref: GEOGCS[\"WGS 84\",DATUM[\"WGS_1984\",SPHEROID[\"WGS 84\",63...\n",
	+ " version: 2.3.3 \n",
	+ " prod_date: 2015-12-31 03:04:53"
	+ ]
	+ },
	+ "execution_count": 12,
	+ "metadata": {},
	+ "output_type": "execute_result"
	+ }
	+ ],
	+ "source": [
	+ "SIS_H.geographic_projection"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 13,
	+ "metadata": {},
	+ "outputs": [],
	+ "source": [
	+ "SIS_H_proj = '/Users/alinawalch/Downloads/SIS_20151230_3d.nc'"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 14,
	+ "metadata": {
	+ "scrolled": false
	+ },
	+ "outputs": [],
	+ "source": [
	+ "SIS_H_proj_ds = xr.open_dataset(SIS_H_proj)"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 30,
	+ "metadata": {
	+ "scrolled": false
	+ },
	+ "outputs": [
	+ {
	+ "data": {
	+ "application/javascript": [
	+ "/* Put everything inside the global mpl namespace */\n",
	+ "window.mpl = {};\n",
	+ "\n",
	+ "\n",
	+ "mpl.get_websocket_type = function() {\n",
	+ " if (typeof(WebSocket) !== 'undefined') {\n",
	+ " return WebSocket;\n",
	+ " } else if (typeof(MozWebSocket) !== 'undefined') {\n",
	+ " return MozWebSocket;\n",
	+ " } else {\n",
	+ " alert('Your browser does not have WebSocket support.' +\n",
	+ " 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
	+ " 'Firefox 4 and 5 are also supported but you ' +\n",
	+ " 'have to enable WebSockets in about:config.');\n",
	+ " };\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
	+ " this.id = figure_id;\n",
	+ "\n",
	+ " this.ws = websocket;\n",
	+ "\n",
	+ " this.supports_binary = (this.ws.binaryType != undefined);\n",
	+ "\n",
	+ " if (!this.supports_binary) {\n",
	+ " var warnings = document.getElementById(\"mpl-warnings\");\n",
	+ " if (warnings) {\n",
	+ " warnings.style.display = 'block';\n",
	+ " warnings.textContent = (\n",
	+ " \"This browser does not support binary websocket messages. \" +\n",
	+ " \"Performance may be slow.\");\n",
	+ " }\n",
	+ " }\n",
	+ "\n",
	+ " this.imageObj = new Image();\n",
	+ "\n",
	+ " this.context = undefined;\n",
	+ " this.message = undefined;\n",
	+ " this.canvas = undefined;\n",
	+ " this.rubberband_canvas = undefined;\n",
	+ " this.rubberband_context = undefined;\n",
	+ " this.format_dropdown = undefined;\n",
	+ "\n",
	+ " this.image_mode = 'full';\n",
	+ "\n",
	+ " this.root = $('<div/>');\n",
	+ " this._root_extra_style(this.root)\n",
	+ " this.root.attr('style', 'display: inline-block');\n",
	+ "\n",
	+ " $(parent_element).append(this.root);\n",
	+ "\n",
	+ " this._init_header(this);\n",
	+ " this._init_canvas(this);\n",
	+ " this._init_toolbar(this);\n",
	+ "\n",
	+ " var fig = this;\n",
	+ "\n",
	+ " this.waiting = false;\n",
	+ "\n",
	+ " this.ws.onopen = function () {\n",
	+ " fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
	+ " fig.send_message(\"send_image_mode\", {});\n",
	+ " if (mpl.ratio != 1) {\n",
	+ " fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
	+ " }\n",
	+ " fig.send_message(\"refresh\", {});\n",
	+ " }\n",
	+ "\n",
	+ " this.imageObj.onload = function() {\n",
	+ " if (fig.image_mode == 'full') {\n",
	+ " // Full images could contain transparency (where diff images\n",
	+ " // almost always do), so we need to clear the canvas so that\n",
	+ " // there is no ghosting.\n",
	+ " fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
	+ " }\n",
	+ " fig.context.drawImage(fig.imageObj, 0, 0);\n",
	+ " };\n",
	+ "\n",
	+ " this.imageObj.onunload = function() {\n",
	+ " fig.ws.close();\n",
	+ " }\n",
	+ "\n",
	+ " this.ws.onmessage = this._make_on_message_function(this);\n",
	+ "\n",
	+ " this.ondownload = ondownload;\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._init_header = function() {\n",
	+ " var titlebar = $(\n",
	+ " '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
	+ " 'ui-helper-clearfix\"/>');\n",
	+ " var titletext = $(\n",
	+ " '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
	+ " 'text-align: center; padding: 3px;\"/>');\n",
	+ " titlebar.append(titletext)\n",
	+ " this.root.append(titlebar);\n",
	+ " this.header = titletext[0];\n",
	+ "}\n",
	+ "\n",
	+ "\n",
	+ "\n",
	+ "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
	+ "\n",
	+ "}\n",
	+ "\n",
	+ "\n",
	+ "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
	+ "\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._init_canvas = function() {\n",
	+ " var fig = this;\n",
	+ "\n",
	+ " var canvas_div = $('<div/>');\n",
	+ "\n",
	+ " canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
	+ "\n",
	+ " function canvas_keyboard_event(event) {\n",
	+ " return fig.key_event(event, event['data']);\n",
	+ " }\n",
	+ "\n",
	+ " canvas_div.keydown('key_press', canvas_keyboard_event);\n",
	+ " canvas_div.keyup('key_release', canvas_keyboard_event);\n",
	+ " this.canvas_div = canvas_div\n",
	+ " this._canvas_extra_style(canvas_div)\n",
	+ " this.root.append(canvas_div);\n",
	+ "\n",
	+ " var canvas = $('<canvas/>');\n",
	+ " canvas.addClass('mpl-canvas');\n",
	+ " canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
	+ "\n",
	+ " this.canvas = canvas[0];\n",
	+ " this.context = canvas[0].getContext(\"2d\");\n",
	+ "\n",
	+ " var backingStore = this.context.backingStorePixelRatio \|\|\n",
	+ "\tthis.context.webkitBackingStorePixelRatio \|\|\n",
	+ "\tthis.context.mozBackingStorePixelRatio \|\|\n",
	+ "\tthis.context.msBackingStorePixelRatio \|\|\n",
	+ "\tthis.context.oBackingStorePixelRatio \|\|\n",
	+ "\tthis.context.backingStorePixelRatio \|\| 1;\n",
	+ "\n",
	+ " mpl.ratio = (window.devicePixelRatio \|\| 1) / backingStore;\n",
	+ "\n",
	+ " var rubberband = $('<canvas/>');\n",
	+ " rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
	+ "\n",
	+ " var pass_mouse_events = true;\n",
	+ "\n",
	+ " canvas_div.resizable({\n",
	+ " start: function(event, ui) {\n",
	+ " pass_mouse_events = false;\n",
	+ " },\n",
	+ " resize: function(event, ui) {\n",
	+ " fig.request_resize(ui.size.width, ui.size.height);\n",
	+ " },\n",
	+ " stop: function(event, ui) {\n",
	+ " pass_mouse_events = true;\n",
	+ " fig.request_resize(ui.size.width, ui.size.height);\n",
	+ " },\n",
	+ " });\n",
	+ "\n",
	+ " function mouse_event_fn(event) {\n",
	+ " if (pass_mouse_events)\n",
	+ " return fig.mouse_event(event, event['data']);\n",
	+ " }\n",
	+ "\n",
	+ " rubberband.mousedown('button_press', mouse_event_fn);\n",
	+ " rubberband.mouseup('button_release', mouse_event_fn);\n",
	+ " // Throttle sequential mouse events to 1 every 20ms.\n",
	+ " rubberband.mousemove('motion_notify', mouse_event_fn);\n",
	+ "\n",
	+ " rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
	+ " rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
	+ "\n",
	+ " canvas_div.on(\"wheel\", function (event) {\n",
	+ " event = event.originalEvent;\n",
	+ " event['data'] = 'scroll'\n",
	+ " if (event.deltaY < 0) {\n",
	+ " event.step = 1;\n",
	+ " } else {\n",
	+ " event.step = -1;\n",
	+ " }\n",
	+ " mouse_event_fn(event);\n",
	+ " });\n",
	+ "\n",
	+ " canvas_div.append(canvas);\n",
	+ " canvas_div.append(rubberband);\n",
	+ "\n",
	+ " this.rubberband = rubberband;\n",
	+ " this.rubberband_canvas = rubberband[0];\n",
	+ " this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
	+ " this.rubberband_context.strokeStyle = \"#000000\";\n",
	+ "\n",
	+ " this._resize_canvas = function(width, height) {\n",
	+ " // Keep the size of the canvas, canvas container, and rubber band\n",
	+ " // canvas in synch.\n",
	+ " canvas_div.css('width', width)\n",
	+ " canvas_div.css('height', height)\n",
	+ "\n",
	+ " canvas.attr('width', width * mpl.ratio);\n",
	+ " canvas.attr('height', height * mpl.ratio);\n",
	+ " canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
	+ "\n",
	+ " rubberband.attr('width', width);\n",
	+ " rubberband.attr('height', height);\n",
	+ " }\n",
	+ "\n",
	+ " // Set the figure to an initial 600x600px, this will subsequently be updated\n",
	+ " // upon first draw.\n",
	+ " this._resize_canvas(600, 600);\n",
	+ "\n",
	+ " // Disable right mouse context menu.\n",
	+ " $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
	+ " return false;\n",
	+ " });\n",
	+ "\n",
	+ " function set_focus () {\n",
	+ " canvas.focus();\n",
	+ " canvas_div.focus();\n",
	+ " }\n",
	+ "\n",
	+ " window.setTimeout(set_focus, 100);\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._init_toolbar = function() {\n",
	+ " var fig = this;\n",
	+ "\n",
	+ " var nav_element = $('<div/>')\n",
	+ " nav_element.attr('style', 'width: 100%');\n",
	+ " this.root.append(nav_element);\n",
	+ "\n",
	+ " // Define a callback function for later on.\n",
	+ " function toolbar_event(event) {\n",
	+ " return fig.toolbar_button_onclick(event['data']);\n",
	+ " }\n",
	+ " function toolbar_mouse_event(event) {\n",
	+ " return fig.toolbar_button_onmouseover(event['data']);\n",
	+ " }\n",
	+ "\n",
	+ " for(var toolbar_ind in mpl.toolbar_items) {\n",
	+ " var name = mpl.toolbar_items[toolbar_ind][0];\n",
	+ " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
	+ " var image = mpl.toolbar_items[toolbar_ind][2];\n",
	+ " var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
	+ "\n",
	+ " if (!name) {\n",
	+ " // put a spacer in here.\n",
	+ " continue;\n",
	+ " }\n",
	+ " var button = $('<button/>');\n",
	+ " button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
	+ " 'ui-button-icon-only');\n",
	+ " button.attr('role', 'button');\n",
	+ " button.attr('aria-disabled', 'false');\n",
	+ " button.click(method_name, toolbar_event);\n",
	+ " button.mouseover(tooltip, toolbar_mouse_event);\n",
	+ "\n",
	+ " var icon_img = $('<span/>');\n",
	+ " icon_img.addClass('ui-button-icon-primary ui-icon');\n",
	+ " icon_img.addClass(image);\n",
	+ " icon_img.addClass('ui-corner-all');\n",
	+ "\n",
	+ " var tooltip_span = $('<span/>');\n",
	+ " tooltip_span.addClass('ui-button-text');\n",
	+ " tooltip_span.html(tooltip);\n",
	+ "\n",
	+ " button.append(icon_img);\n",
	+ " button.append(tooltip_span);\n",
	+ "\n",
	+ " nav_element.append(button);\n",
	+ " }\n",
	+ "\n",
	+ " var fmt_picker_span = $('<span/>');\n",
	+ "\n",
	+ " var fmt_picker = $('<select/>');\n",
	+ " fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
	+ " fmt_picker_span.append(fmt_picker);\n",
	+ " nav_element.append(fmt_picker_span);\n",
	+ " this.format_dropdown = fmt_picker[0];\n",
	+ "\n",
	+ " for (var ind in mpl.extensions) {\n",
	+ " var fmt = mpl.extensions[ind];\n",
	+ " var option = $(\n",
	+ " '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
	+ " fmt_picker.append(option)\n",
	+ " }\n",
	+ "\n",
	+ " // Add hover states to the ui-buttons\n",
	+ " $( \".ui-button\" ).hover(\n",
	+ " function() { $(this).addClass(\"ui-state-hover\");},\n",
	+ " function() { $(this).removeClass(\"ui-state-hover\");}\n",
	+ " );\n",
	+ "\n",
	+ " var status_bar = $('<span class=\"mpl-message\"/>');\n",
	+ " nav_element.append(status_bar);\n",
	+ " this.message = status_bar[0];\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
	+ " // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
	+ " // which will in turn request a refresh of the image.\n",
	+ " this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.send_message = function(type, properties) {\n",
	+ " properties['type'] = type;\n",
	+ " properties['figure_id'] = this.id;\n",
	+ " this.ws.send(JSON.stringify(properties));\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.send_draw_message = function() {\n",
	+ " if (!this.waiting) {\n",
	+ " this.waiting = true;\n",
	+ " this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
	+ " }\n",
	+ "}\n",
	+ "\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
	+ " var format_dropdown = fig.format_dropdown;\n",
	+ " var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
	+ " fig.ondownload(fig, format);\n",
	+ "}\n",
	+ "\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
	+ " var size = msg['size'];\n",
	+ " if (size[0] != fig.canvas.width \|\| size[1] != fig.canvas.height) {\n",
	+ " fig._resize_canvas(size[0], size[1]);\n",
	+ " fig.send_message(\"refresh\", {});\n",
	+ " };\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
	+ " var x0 = msg['x0'] / mpl.ratio;\n",
	+ " var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
	+ " var x1 = msg['x1'] / mpl.ratio;\n",
	+ " var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
	+ " x0 = Math.floor(x0) + 0.5;\n",
	+ " y0 = Math.floor(y0) + 0.5;\n",
	+ " x1 = Math.floor(x1) + 0.5;\n",
	+ " y1 = Math.floor(y1) + 0.5;\n",
	+ " var min_x = Math.min(x0, x1);\n",
	+ " var min_y = Math.min(y0, y1);\n",
	+ " var width = Math.abs(x1 - x0);\n",
	+ " var height = Math.abs(y1 - y0);\n",
	+ "\n",
	+ " fig.rubberband_context.clearRect(\n",
	+ " 0, 0, fig.canvas.width, fig.canvas.height);\n",
	+ "\n",
	+ " fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
	+ " // Updates the figure title.\n",
	+ " fig.header.textContent = msg['label'];\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
	+ " var cursor = msg['cursor'];\n",
	+ " switch(cursor)\n",
	+ " {\n",
	+ " case 0:\n",
	+ " cursor = 'pointer';\n",
	+ " break;\n",
	+ " case 1:\n",
	+ " cursor = 'default';\n",
	+ " break;\n",
	+ " case 2:\n",
	+ " cursor = 'crosshair';\n",
	+ " break;\n",
	+ " case 3:\n",
	+ " cursor = 'move';\n",
	+ " break;\n",
	+ " }\n",
	+ " fig.rubberband_canvas.style.cursor = cursor;\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
	+ " fig.message.textContent = msg['message'];\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
	+ " // Request the server to send over a new figure.\n",
	+ " fig.send_draw_message();\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
	+ " fig.image_mode = msg['mode'];\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.updated_canvas_event = function() {\n",
	+ " // Called whenever the canvas gets updated.\n",
	+ " this.send_message(\"ack\", {});\n",
	+ "}\n",
	+ "\n",
	+ "// A function to construct a web socket function for onmessage handling.\n",
	+ "// Called in the figure constructor.\n",
	+ "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
	+ " return function socket_on_message(evt) {\n",
	+ " if (evt.data instanceof Blob) {\n",
	+ " /* FIXME: We get \"Resource interpreted as Image but\n",
	+ " * transferred with MIME type text/plain:\" errors on\n",
	+ " * Chrome. But how to set the MIME type? It doesn't seem\n",
	+ " * to be part of the websocket stream */\n",
	+ " evt.data.type = \"image/png\";\n",
	+ "\n",
	+ " /* Free the memory for the previous frames */\n",
	+ " if (fig.imageObj.src) {\n",
	+ " (window.URL \|\| window.webkitURL).revokeObjectURL(\n",
	+ " fig.imageObj.src);\n",
	+ " }\n",
	+ "\n",
	+ " fig.imageObj.src = (window.URL \|\| window.webkitURL).createObjectURL(\n",
	+ " evt.data);\n",
	+ " fig.updated_canvas_event();\n",
	+ " fig.waiting = false;\n",
	+ " return;\n",
	+ " }\n",
	+ " else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
	+ " fig.imageObj.src = evt.data;\n",
	+ " fig.updated_canvas_event();\n",
	+ " fig.waiting = false;\n",
	+ " return;\n",
	+ " }\n",
	+ "\n",
	+ " var msg = JSON.parse(evt.data);\n",
	+ " var msg_type = msg['type'];\n",
	+ "\n",
	+ " // Call the \"handle_{type}\" callback, which takes\n",
	+ " // the figure and JSON message as its only arguments.\n",
	+ " try {\n",
	+ " var callback = fig[\"handle_\" + msg_type];\n",
	+ " } catch (e) {\n",
	+ " console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
	+ " return;\n",
	+ " }\n",
	+ "\n",
	+ " if (callback) {\n",
	+ " try {\n",
	+ " // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
	+ " callback(fig, msg);\n",
	+ " } catch (e) {\n",
	+ " console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
	+ " }\n",
	+ " }\n",
	+ " };\n",
	+ "}\n",
	+ "\n",
	+ "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
	+ "mpl.findpos = function(e) {\n",
	+ " //this section is from http://www.quirksmode.org/js/events_properties.html\n",
	+ " var targ;\n",
	+ " if (!e)\n",
	+ " e = window.event;\n",
	+ " if (e.target)\n",
	+ " targ = e.target;\n",
	+ " else if (e.srcElement)\n",
	+ " targ = e.srcElement;\n",
	+ " if (targ.nodeType == 3) // defeat Safari bug\n",
	+ " targ = targ.parentNode;\n",
	+ "\n",
	+ " // jQuery normalizes the pageX and pageY\n",
	+ " // pageX,Y are the mouse positions relative to the document\n",
	+ " // offset() returns the position of the element relative to the document\n",
	+ " var x = e.pageX - $(targ).offset().left;\n",
	+ " var y = e.pageY - $(targ).offset().top;\n",
	+ "\n",
	+ " return {\"x\": x, \"y\": y};\n",
	+ "};\n",
	+ "\n",
	+ "/*\n",
	+ " * return a copy of an object with only non-object keys\n",
	+ " * we need this to avoid circular references\n",
	+ " * http://stackoverflow.com/a/24161582/3208463\n",
	+ " */\n",
	+ "function simpleKeys (original) {\n",
	+ " return Object.keys(original).reduce(function (obj, key) {\n",
	+ " if (typeof original[key] !== 'object')\n",
	+ " obj[key] = original[key]\n",
	+ " return obj;\n",
	+ " }, {});\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.mouse_event = function(event, name) {\n",
	+ " var canvas_pos = mpl.findpos(event)\n",
	+ "\n",
	+ " if (name === 'button_press')\n",
	+ " {\n",
	+ " this.canvas.focus();\n",
	+ " this.canvas_div.focus();\n",
	+ " }\n",
	+ "\n",
	+ " var x = canvas_pos.x * mpl.ratio;\n",
	+ " var y = canvas_pos.y * mpl.ratio;\n",
	+ "\n",
	+ " this.send_message(name, {x: x, y: y, button: event.button,\n",
	+ " step: event.step,\n",
	+ " guiEvent: simpleKeys(event)});\n",
	+ "\n",
	+ " /* This prevents the web browser from automatically changing to\n",
	+ " * the text insertion cursor when the button is pressed. We want\n",
	+ " * to control all of the cursor setting manually through the\n",
	+ " * 'cursor' event from matplotlib */\n",
	+ " event.preventDefault();\n",
	+ " return false;\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
	+ " // Handle any extra behaviour associated with a key event\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.key_event = function(event, name) {\n",
	+ "\n",
	+ " // Prevent repeat events\n",
	+ " if (name == 'key_press')\n",
	+ " {\n",
	+ " if (event.which === this._key)\n",
	+ " return;\n",
	+ " else\n",
	+ " this._key = event.which;\n",
	+ " }\n",
	+ " if (name == 'key_release')\n",
	+ " this._key = null;\n",
	+ "\n",
	+ " var value = '';\n",
	+ " if (event.ctrlKey && event.which != 17)\n",
	+ " value += \"ctrl+\";\n",
	+ " if (event.altKey && event.which != 18)\n",
	+ " value += \"alt+\";\n",
	+ " if (event.shiftKey && event.which != 16)\n",
	+ " value += \"shift+\";\n",
	+ "\n",
	+ " value += 'k';\n",
	+ " value += event.which.toString();\n",
	+ "\n",
	+ " this._key_event_extra(event, name);\n",
	+ "\n",
	+ " this.send_message(name, {key: value,\n",
	+ " guiEvent: simpleKeys(event)});\n",
	+ " return false;\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
	+ " if (name == 'download') {\n",
	+ " this.handle_save(this, null);\n",
	+ " } else {\n",
	+ " this.send_message(\"toolbar_button\", {name: name});\n",
	+ " }\n",
	+ "};\n",
	+ "\n",
	+ "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
	+ " this.message.textContent = tooltip;\n",
	+ "};\n",
	+ "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
	+ "\n",
	+ "mpl.extensions = [\"eps\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\n",
	+ "\n",
	+ "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
	+ " // Create a \"websocket\"-like object which calls the given IPython comm\n",
	+ " // object with the appropriate methods. Currently this is a non binary\n",
	+ " // socket, so there is still some room for performance tuning.\n",
	+ " var ws = {};\n",
	+ "\n",
	+ " ws.close = function() {\n",
	+ " comm.close()\n",
	+ " };\n",
	+ " ws.send = function(m) {\n",
	+ " //console.log('sending', m);\n",
	+ " comm.send(m);\n",
	+ " };\n",
	+ " // Register the callback with on_msg.\n",
	+ " comm.on_msg(function(msg) {\n",
	+ " //console.log('receiving', msg['content']['data'], msg);\n",
	+ " // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
	+ " ws.onmessage(msg['content']['data'])\n",
	+ " });\n",
	+ " return ws;\n",
	+ "}\n",
	+ "\n",
	+ "mpl.mpl_figure_comm = function(comm, msg) {\n",
	+ " // This is the function which gets called when the mpl process\n",
	+ " // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
	+ "\n",
	+ " var id = msg.content.data.id;\n",
	+ " // Get hold of the div created by the display call when the Comm\n",
	+ " // socket was opened in Python.\n",
	+ " var element = $(\"#\" + id);\n",
	+ " var ws_proxy = comm_websocket_adapter(comm)\n",
	+ "\n",
	+ " function ondownload(figure, format) {\n",
	+ " window.open(figure.imageObj.src);\n",
	+ " }\n",
	+ "\n",
	+ " var fig = new mpl.figure(id, ws_proxy,\n",
	+ " ondownload,\n",
	+ " element.get(0));\n",
	+ "\n",
	+ " // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
	+ " // web socket which is closed, not our websocket->open comm proxy.\n",
	+ " ws_proxy.onopen();\n",
	+ "\n",
	+ " fig.parent_element = element.get(0);\n",
	+ " fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
	+ " if (!fig.cell_info) {\n",
	+ " console.error(\"Failed to find cell for figure\", id, fig);\n",
	+ " return;\n",
	+ " }\n",
	+ "\n",
	+ " var output_index = fig.cell_info[2]\n",
	+ " var cell = fig.cell_info[0];\n",
	+ "\n",
	+ "};\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
	+ " var width = fig.canvas.width/mpl.ratio\n",
	+ " fig.root.unbind('remove')\n",
	+ "\n",
	+ " // Update the output cell to use the data from the current canvas.\n",
	+ " fig.push_to_output();\n",
	+ " var dataURL = fig.canvas.toDataURL();\n",
	+ " // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
	+ " // the notebook keyboard shortcuts fail.\n",
	+ " IPython.keyboard_manager.enable()\n",
	+ " $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
	+ " fig.close_ws(fig, msg);\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.close_ws = function(fig, msg){\n",
	+ " fig.send_message('closing', msg);\n",
	+ " // fig.ws.close()\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
	+ " // Turn the data on the canvas into data in the output cell.\n",
	+ " var width = this.canvas.width/mpl.ratio\n",
	+ " var dataURL = this.canvas.toDataURL();\n",
	+ " this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.updated_canvas_event = function() {\n",
	+ " // Tell IPython that the notebook contents must change.\n",
	+ " IPython.notebook.set_dirty(true);\n",
	+ " this.send_message(\"ack\", {});\n",
	+ " var fig = this;\n",
	+ " // Wait a second, then push the new image to the DOM so\n",
	+ " // that it is saved nicely (might be nice to debounce this).\n",
	+ " setTimeout(function () { fig.push_to_output() }, 1000);\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._init_toolbar = function() {\n",
	+ " var fig = this;\n",
	+ "\n",
	+ " var nav_element = $('<div/>')\n",
	+ " nav_element.attr('style', 'width: 100%');\n",
	+ " this.root.append(nav_element);\n",
	+ "\n",
	+ " // Define a callback function for later on.\n",
	+ " function toolbar_event(event) {\n",
	+ " return fig.toolbar_button_onclick(event['data']);\n",
	+ " }\n",
	+ " function toolbar_mouse_event(event) {\n",
	+ " return fig.toolbar_button_onmouseover(event['data']);\n",
	+ " }\n",
	+ "\n",
	+ " for(var toolbar_ind in mpl.toolbar_items){\n",
	+ " var name = mpl.toolbar_items[toolbar_ind][0];\n",
	+ " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
	+ " var image = mpl.toolbar_items[toolbar_ind][2];\n",
	+ " var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
	+ "\n",
	+ " if (!name) { continue; };\n",
	+ "\n",
	+ " var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
	+ " button.click(method_name, toolbar_event);\n",
	+ " button.mouseover(tooltip, toolbar_mouse_event);\n",
	+ " nav_element.append(button);\n",
	+ " }\n",
	+ "\n",
	+ " // Add the status bar.\n",
	+ " var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
	+ " nav_element.append(status_bar);\n",
	+ " this.message = status_bar[0];\n",
	+ "\n",
	+ " // Add the close button to the window.\n",
	+ " var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
	+ " var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
	+ " button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
	+ " button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
	+ " buttongrp.append(button);\n",
	+ " var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
	+ " titlebar.prepend(buttongrp);\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._root_extra_style = function(el){\n",
	+ " var fig = this\n",
	+ " el.on(\"remove\", function(){\n",
	+ "\tfig.close_ws(fig, {});\n",
	+ " });\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._canvas_extra_style = function(el){\n",
	+ " // this is important to make the div 'focusable\n",
	+ " el.attr('tabindex', 0)\n",
	+ " // reach out to IPython and tell the keyboard manager to turn it's self\n",
	+ " // off when our div gets focus\n",
	+ "\n",
	+ " // location in version 3\n",
	+ " if (IPython.notebook.keyboard_manager) {\n",
	+ " IPython.notebook.keyboard_manager.register_events(el);\n",
	+ " }\n",
	+ " else {\n",
	+ " // location in version 2\n",
	+ " IPython.keyboard_manager.register_events(el);\n",
	+ " }\n",
	+ "\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
	+ " var manager = IPython.notebook.keyboard_manager;\n",
	+ " if (!manager)\n",
	+ " manager = IPython.keyboard_manager;\n",
	+ "\n",
	+ " // Check for shift+enter\n",
	+ " if (event.shiftKey && event.which == 13) {\n",
	+ " this.canvas_div.blur();\n",
	+ " event.shiftKey = false;\n",
	+ " // Send a \"J\" for go to next cell\n",
	+ " event.which = 74;\n",
	+ " event.keyCode = 74;\n",
	+ " manager.command_mode();\n",
	+ " manager.handle_keydown(event);\n",
	+ " }\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
	+ " fig.ondownload(fig, null);\n",
	+ "}\n",
	+ "\n",
	+ "\n",
	+ "mpl.find_output_cell = function(html_output) {\n",
	+ " // Return the cell and output element which can be found uniquely in the notebook.\n",
	+ " // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
	+ " // IPython event is triggered only after the cells have been serialised, which for\n",
	+ " // our purposes (turning an active figure into a static one), is too late.\n",
	+ " var cells = IPython.notebook.get_cells();\n",
	+ " var ncells = cells.length;\n",
	+ " for (var i=0; i<ncells; i++) {\n",
	+ " var cell = cells[i];\n",
	+ " if (cell.cell_type === 'code'){\n",
	+ " for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
	+ " var data = cell.output_area.outputs[j];\n",
	+ " if (data.data) {\n",
	+ " // IPython >= 3 moved mimebundle to data attribute of output\n",
	+ " data = data.data;\n",
	+ " }\n",
	+ " if (data['text/html'] == html_output) {\n",
	+ " return [cell, data, j];\n",
	+ " }\n",
	+ " }\n",
	+ " }\n",
	+ " }\n",
	+ "}\n",
	+ "\n",
	+ "// Register the function which deals with the matplotlib target/channel.\n",
	+ "// The kernel may be null if the page has been refreshed.\n",
	+ "if (IPython.notebook.kernel != null) {\n",
	+ " IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
	+ "}\n"
	+ ],
	+ "text/plain": [
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	+ "metadata": {},
	+ "output_type": "display_data"
	+ },
	+ {
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\" width=\"1000\">"
	+ ],
	+ "text/plain": [
	+ "<IPython.core.display.HTML object>"
	+ ]
	+ },
	+ "metadata": {},
	+ "output_type": "display_data"
	+ }
	+ ],
	+ "source": [
	+ "t = 7\n",
	+ "\n",
	+ "plt.figure(figsize = (10,4))\n",
	+ "ax = plt.subplot(121)\n",
	+ "SIS_H.isel(time = t).SIS.plot(ax = ax)\n",
	+ "plt.axis('equal')\n",
	+ "\n",
	+ "ax = plt.subplot(122)\n",
	+ "SIS_H_proj_ds.isel(z = t).SIS_20151230.plot(ax = ax)\n",
	+ "plt.axis('equal')\n",
	+ "\n",
	+ "plt.subplots_adjust(left = 0, hspace = 0.7, right = 1)\n",
	+ "\n"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 33,
	+ "metadata": {},
	+ "outputs": [
	+ {
	+ "data": {
	+ "text/plain": [
	+ "<xarray.Dataset>\n",
	+ "Dimensions: (lat: 103, lon: 241)\n",
	+ "Coordinates:\n",
	+ " * lon (lon) float32 5.75 5.7708335 5.791667 ... 10.708334 10.729167 10.75\n",
	+ " * lat (lat) float32 45.75 45.770832 45.791664 ... 47.854164 47.875\n",
	+ "Data variables:\n",
	+ " SIS (lat, lon) float32 1871.074 1802.0314 ... 1656.8208 1648.7129"
	+ ]
	+ },
	+ "execution_count": 33,
	+ "metadata": {},
	+ "output_type": "execute_result"
	+ }
	+ ],
	+ "source": [
	+ "# get daily sum:\n",
	+ "SIS_H.sum('time')"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": null,
	+ "metadata": {},
	+ "outputs": [],
	+ "source": []
	+ },
	+ {
	+ "cell_type": "markdown",
	+ "metadata": {},
	+ "source": [
	+ "## Geographic projection using GDAL"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 13,
	+ "metadata": {},
	+ "outputs": [],
	+ "source": [
	+ "SIS_H_file = '/Users/alinawalch/Downloads/MSG_SIS_H_2016/msg.SIS.H_ch02.lonlat_20160101000000.nc'\n",
	+ "SIS_H_ds = gdal.Open('NETCDF:\"'+SIS_H_file+'\":SIS')"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 14,
	+ "metadata": {
	+ "scrolled": true
	+ },
	+ "outputs": [
	+ {
	+ "data": {
	+ "text/plain": [
	+ "{'NC_GLOBAL#Conventions': 'CF-1.5',\n",
	+ " 'NC_GLOBAL#Creator_Email': 'reto.stoeckli@meteoswiss.ch',\n",
	+ " 'NC_GLOBAL#Creator_Name': 'Reto Stockli',\n",
	+ " 'NC_GLOBAL#Creator_Url': 'http://www.meteoswiss.ch',\n",
	+ " 'NC_GLOBAL#Digital_Object_Identifier': 'not assigned',\n",
	+ " 'NC_GLOBAL#Institution': 'Federal Office of Meteorology and Climatology MeteoSwiss',\n",
	+ " 'NC_GLOBAL#Metadata_Conventions': 'Unidata Dataset Discovery v1.0',\n",
	+ " 'NC_GLOBAL#References': 'Reto Stockli (2013). The HelioMont Surface Solar Radiation Processing, Scientific Report MeteoSwiss, 93, 122 pp.',\n",
	+ " 'NC_GLOBAL#Summary': 'Composited surface states, cloud properties and surface radiation fluxes from Meteteosat Second Generation SEVIRI data',\n",
	+ " 'NC_GLOBAL#Title': 'The HelioMont Surface Solar Radiation Processing of MeteoSwiss (Composite File)',\n",
	+ " 'NETCDF_DIM_EXTRA': '{time}',\n",
	+ " 'NETCDF_DIM_time_DEF': '{24,6}',\n",
	+ " 'NETCDF_DIM_time_VALUES': '{0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23}',\n",
	+ " 'SIS#_FillValue': '9.96921e+36',\n",
	+ " 'SIS#grid_mapping': 'geographic_projection',\n",
	+ " 'SIS#long_name': 'Global Radiation (hourly mean)',\n",
	+ " 'SIS#prod_date': '2017-02-28 08:55:11',\n",
	+ " 'SIS#units': 'W m-2',\n",
	+ " 'SIS#version': '2.4.0',\n",
	+ " 'geographic_projection#datum': 'wgs84',\n",
	+ " 'geographic_projection#grid_mapping_name': 'latitude_longitude',\n",
	+ " 'geographic_projection#prod_date': '2017-02-28 08:55:11',\n",
	+ " 'geographic_projection#semi_major_axis': '6378137',\n",
	+ " 'geographic_projection#semi_minor_axis': '6356752.3',\n",
	+ " 'geographic_projection#spatial_ref': 'GEOGCS[\"WGS 84\",DATUM[\"WGS_1984\",SPHEROID[\"WGS 84\",6378137,298.257223563,AUTHORITY[\"EPSG\",7030]],TOWGS84[0,0,0,0,0,0,0],AUTHORITY[\"EPSG\",6326]],PRIMEM[\"Greenwich\",0,AUTHORITY[\"EPSG\",8901]],UNIT[\"DMSH\",0.0174532925199433,AUTHORITY[\"EPSG\",9108]],AXIS[\"Lat\",NORTH],AXIS[\"Long\",EAST],AUTHORITY[\"EPSG\",4326]]',\n",
	+ " 'geographic_projection#version': '2.4.0',\n",
	+ " 'lat#long_name': 'latitude',\n",
	+ " 'lat#units': 'degrees_north',\n",
	+ " 'lon#long_name': 'longitude',\n",
	+ " 'lon#units': 'degrees_east',\n",
	+ " 'time#calendar': 'gregorian',\n",
	+ " 'time#long_name': 'time',\n",
	+ " 'time#units': 'hours since 2016-01-01 00:00:00'}"
	+ ]
	+ },
	+ "execution_count": 14,
	+ "metadata": {},
	+ "output_type": "execute_result"
	+ }
	+ ],
	+ "source": [
	+ "metadata = SIS_H_ds.GetMetadata()\n",
	+ "metadata"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 19,
	+ "metadata": {},
	+ "outputs": [],
	+ "source": [
	+ "SIS_H_proj = '/Users/alinawalch/Downloads/msg.SIS.H_ch02.lonlat_20160101000000_proj.tif'"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 18,
	+ "metadata": {},
	+ "outputs": [],
	+ "source": [
	+ "SIS_H_projected = gdal.Warp(SIS_H_proj, SIS_H_ds, dstSRS='EPSG:2056', srcSRS='EPSG:4326')"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 20,
	+ "metadata": {
	+ "scrolled": true
	+ },
	+ "outputs": [
	+ {
	+ "data": {
	+ "text/plain": [
	+ "<osgeo.gdal.Dataset; proxy of <Swig Object of type 'GDALDatasetShadow *' at 0x324de52a0> >"
	+ ]
	+ },
	+ "execution_count": 20,
	+ "metadata": {},
	+ "output_type": "execute_result"
	+ }
	+ ],
	+ "source": [
	+ "SIS_H_projected"
	+ ]
	+ },
	+ {
	+ "cell_type": "markdown",
	+ "metadata": {},
	+ "source": [
	+ "## Future precipitation (from R)"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 2,
	+ "metadata": {},
	+ "outputs": [],
	+ "source": [
	+ "def load_r_to_array( filename, var_name ):\n",
	+ " # Read RData file and convert data and meta-data into useful formats\n",
	+ " data = r.load( filename , verbose = True)\n",
	+ " df = r(data[0])\n",
	+ " attributes = r('attributes(%s)' %(data[0]))\n",
	+ " \n",
	+ " # Convert data into dictionary for further use\n",
	+ " df_dict = dict(zip(df.names, list(df)))\n",
	+ " attr_dict = dict(zip(attributes.names, list(attributes)))\n",
	+ " \n",
	+ " # convert integers to datetime indices\n",
	+ " dates = [ pd.to_datetime(0) + pd.Timedelta(val, unit='d') for val in df_dict['data.time'] ] \n",
	+ " \n",
	+ " # create data array and add metadata\n",
	+ " data_array = xr.DataArray(data = df_dict['data.series'], coords = [dates], dims = 'time', name='precipitation')\n",
	+ " data_array.coords['station'] = attr_dict['station'][0]\n",
	+ " data_array.attrs['period'] = attr_dict['qm.period'][0]\n",
	+ " data_array.attrs['calibration_period'] = attr_dict['calibration.period'][0]\n",
	+ " data_array.attrs['modelchain'] = attr_dict['modelchain'][0]\n",
	+ " data_array.attrs['version'] = attr_dict['qm.version'][0]\n",
	+ " \n",
	+ " data_df = pd.DataFrame( data = data_array.to_pandas(), columns = [attr_dict['station'][0]])\n",
	+ " \n",
	+ " return data_array, data_df"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 13,
	+ "metadata": {},
	+ "outputs": [],
	+ "source": [
	+ "pr = []\n",
	+ "tas = []\n",
	+ "rsds = []\n",
	+ "\n",
	+ "var_dict = {\n",
	+ " 'pr' : pr ,\n",
	+ " 'tas' : tas ,\n",
	+ " 'rsds': rsds\n",
	+ "}"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 4,
	+ "metadata": {},
	+ "outputs": [
	+ {
	+ "name": "stdout",
	+ "output_type": "stream",
	+ "text": [
	+ "Loading objects:\n",
	+ "\n",
	+ " \n",
	+ "results.qm\n",
	+ "\n"
	+ ]
	+ }
	+ ],
	+ "source": [
	+ "arr, df = load_r_to_array('/Users/alinawalch/Downloads/pr_SMHI-RCA-NORESM-EUR44-RCP85_ARO.Rdata', 'pr')\n",
	+ "var_dict['pr'].append(df)"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": 10,
	+ "metadata": {},
	+ "outputs": [
	+ {
	+ "data": {
	+ "application/javascript": [
	+ "/* Put everything inside the global mpl namespace */\n",
	+ "window.mpl = {};\n",
	+ "\n",
	+ "\n",
	+ "mpl.get_websocket_type = function() {\n",
	+ " if (typeof(WebSocket) !== 'undefined') {\n",
	+ " return WebSocket;\n",
	+ " } else if (typeof(MozWebSocket) !== 'undefined') {\n",
	+ " return MozWebSocket;\n",
	+ " } else {\n",
	+ " alert('Your browser does not have WebSocket support.' +\n",
	+ " 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
	+ " 'Firefox 4 and 5 are also supported but you ' +\n",
	+ " 'have to enable WebSockets in about:config.');\n",
	+ " };\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
	+ " this.id = figure_id;\n",
	+ "\n",
	+ " this.ws = websocket;\n",
	+ "\n",
	+ " this.supports_binary = (this.ws.binaryType != undefined);\n",
	+ "\n",
	+ " if (!this.supports_binary) {\n",
	+ " var warnings = document.getElementById(\"mpl-warnings\");\n",
	+ " if (warnings) {\n",
	+ " warnings.style.display = 'block';\n",
	+ " warnings.textContent = (\n",
	+ " \"This browser does not support binary websocket messages. \" +\n",
	+ " \"Performance may be slow.\");\n",
	+ " }\n",
	+ " }\n",
	+ "\n",
	+ " this.imageObj = new Image();\n",
	+ "\n",
	+ " this.context = undefined;\n",
	+ " this.message = undefined;\n",
	+ " this.canvas = undefined;\n",
	+ " this.rubberband_canvas = undefined;\n",
	+ " this.rubberband_context = undefined;\n",
	+ " this.format_dropdown = undefined;\n",
	+ "\n",
	+ " this.image_mode = 'full';\n",
	+ "\n",
	+ " this.root = $('<div/>');\n",
	+ " this._root_extra_style(this.root)\n",
	+ " this.root.attr('style', 'display: inline-block');\n",
	+ "\n",
	+ " $(parent_element).append(this.root);\n",
	+ "\n",
	+ " this._init_header(this);\n",
	+ " this._init_canvas(this);\n",
	+ " this._init_toolbar(this);\n",
	+ "\n",
	+ " var fig = this;\n",
	+ "\n",
	+ " this.waiting = false;\n",
	+ "\n",
	+ " this.ws.onopen = function () {\n",
	+ " fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
	+ " fig.send_message(\"send_image_mode\", {});\n",
	+ " if (mpl.ratio != 1) {\n",
	+ " fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
	+ " }\n",
	+ " fig.send_message(\"refresh\", {});\n",
	+ " }\n",
	+ "\n",
	+ " this.imageObj.onload = function() {\n",
	+ " if (fig.image_mode == 'full') {\n",
	+ " // Full images could contain transparency (where diff images\n",
	+ " // almost always do), so we need to clear the canvas so that\n",
	+ " // there is no ghosting.\n",
	+ " fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
	+ " }\n",
	+ " fig.context.drawImage(fig.imageObj, 0, 0);\n",
	+ " };\n",
	+ "\n",
	+ " this.imageObj.onunload = function() {\n",
	+ " fig.ws.close();\n",
	+ " }\n",
	+ "\n",
	+ " this.ws.onmessage = this._make_on_message_function(this);\n",
	+ "\n",
	+ " this.ondownload = ondownload;\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._init_header = function() {\n",
	+ " var titlebar = $(\n",
	+ " '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
	+ " 'ui-helper-clearfix\"/>');\n",
	+ " var titletext = $(\n",
	+ " '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
	+ " 'text-align: center; padding: 3px;\"/>');\n",
	+ " titlebar.append(titletext)\n",
	+ " this.root.append(titlebar);\n",
	+ " this.header = titletext[0];\n",
	+ "}\n",
	+ "\n",
	+ "\n",
	+ "\n",
	+ "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
	+ "\n",
	+ "}\n",
	+ "\n",
	+ "\n",
	+ "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
	+ "\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._init_canvas = function() {\n",
	+ " var fig = this;\n",
	+ "\n",
	+ " var canvas_div = $('<div/>');\n",
	+ "\n",
	+ " canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
	+ "\n",
	+ " function canvas_keyboard_event(event) {\n",
	+ " return fig.key_event(event, event['data']);\n",
	+ " }\n",
	+ "\n",
	+ " canvas_div.keydown('key_press', canvas_keyboard_event);\n",
	+ " canvas_div.keyup('key_release', canvas_keyboard_event);\n",
	+ " this.canvas_div = canvas_div\n",
	+ " this._canvas_extra_style(canvas_div)\n",
	+ " this.root.append(canvas_div);\n",
	+ "\n",
	+ " var canvas = $('<canvas/>');\n",
	+ " canvas.addClass('mpl-canvas');\n",
	+ " canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
	+ "\n",
	+ " this.canvas = canvas[0];\n",
	+ " this.context = canvas[0].getContext(\"2d\");\n",
	+ "\n",
	+ " var backingStore = this.context.backingStorePixelRatio \|\|\n",
	+ "\tthis.context.webkitBackingStorePixelRatio \|\|\n",
	+ "\tthis.context.mozBackingStorePixelRatio \|\|\n",
	+ "\tthis.context.msBackingStorePixelRatio \|\|\n",
	+ "\tthis.context.oBackingStorePixelRatio \|\|\n",
	+ "\tthis.context.backingStorePixelRatio \|\| 1;\n",
	+ "\n",
	+ " mpl.ratio = (window.devicePixelRatio \|\| 1) / backingStore;\n",
	+ "\n",
	+ " var rubberband = $('<canvas/>');\n",
	+ " rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
	+ "\n",
	+ " var pass_mouse_events = true;\n",
	+ "\n",
	+ " canvas_div.resizable({\n",
	+ " start: function(event, ui) {\n",
	+ " pass_mouse_events = false;\n",
	+ " },\n",
	+ " resize: function(event, ui) {\n",
	+ " fig.request_resize(ui.size.width, ui.size.height);\n",
	+ " },\n",
	+ " stop: function(event, ui) {\n",
	+ " pass_mouse_events = true;\n",
	+ " fig.request_resize(ui.size.width, ui.size.height);\n",
	+ " },\n",
	+ " });\n",
	+ "\n",
	+ " function mouse_event_fn(event) {\n",
	+ " if (pass_mouse_events)\n",
	+ " return fig.mouse_event(event, event['data']);\n",
	+ " }\n",
	+ "\n",
	+ " rubberband.mousedown('button_press', mouse_event_fn);\n",
	+ " rubberband.mouseup('button_release', mouse_event_fn);\n",
	+ " // Throttle sequential mouse events to 1 every 20ms.\n",
	+ " rubberband.mousemove('motion_notify', mouse_event_fn);\n",
	+ "\n",
	+ " rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
	+ " rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
	+ "\n",
	+ " canvas_div.on(\"wheel\", function (event) {\n",
	+ " event = event.originalEvent;\n",
	+ " event['data'] = 'scroll'\n",
	+ " if (event.deltaY < 0) {\n",
	+ " event.step = 1;\n",
	+ " } else {\n",
	+ " event.step = -1;\n",
	+ " }\n",
	+ " mouse_event_fn(event);\n",
	+ " });\n",
	+ "\n",
	+ " canvas_div.append(canvas);\n",
	+ " canvas_div.append(rubberband);\n",
	+ "\n",
	+ " this.rubberband = rubberband;\n",
	+ " this.rubberband_canvas = rubberband[0];\n",
	+ " this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
	+ " this.rubberband_context.strokeStyle = \"#000000\";\n",
	+ "\n",
	+ " this._resize_canvas = function(width, height) {\n",
	+ " // Keep the size of the canvas, canvas container, and rubber band\n",
	+ " // canvas in synch.\n",
	+ " canvas_div.css('width', width)\n",
	+ " canvas_div.css('height', height)\n",
	+ "\n",
	+ " canvas.attr('width', width * mpl.ratio);\n",
	+ " canvas.attr('height', height * mpl.ratio);\n",
	+ " canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
	+ "\n",
	+ " rubberband.attr('width', width);\n",
	+ " rubberband.attr('height', height);\n",
	+ " }\n",
	+ "\n",
	+ " // Set the figure to an initial 600x600px, this will subsequently be updated\n",
	+ " // upon first draw.\n",
	+ " this._resize_canvas(600, 600);\n",
	+ "\n",
	+ " // Disable right mouse context menu.\n",
	+ " $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
	+ " return false;\n",
	+ " });\n",
	+ "\n",
	+ " function set_focus () {\n",
	+ " canvas.focus();\n",
	+ " canvas_div.focus();\n",
	+ " }\n",
	+ "\n",
	+ " window.setTimeout(set_focus, 100);\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._init_toolbar = function() {\n",
	+ " var fig = this;\n",
	+ "\n",
	+ " var nav_element = $('<div/>')\n",
	+ " nav_element.attr('style', 'width: 100%');\n",
	+ " this.root.append(nav_element);\n",
	+ "\n",
	+ " // Define a callback function for later on.\n",
	+ " function toolbar_event(event) {\n",
	+ " return fig.toolbar_button_onclick(event['data']);\n",
	+ " }\n",
	+ " function toolbar_mouse_event(event) {\n",
	+ " return fig.toolbar_button_onmouseover(event['data']);\n",
	+ " }\n",
	+ "\n",
	+ " for(var toolbar_ind in mpl.toolbar_items) {\n",
	+ " var name = mpl.toolbar_items[toolbar_ind][0];\n",
	+ " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
	+ " var image = mpl.toolbar_items[toolbar_ind][2];\n",
	+ " var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
	+ "\n",
	+ " if (!name) {\n",
	+ " // put a spacer in here.\n",
	+ " continue;\n",
	+ " }\n",
	+ " var button = $('<button/>');\n",
	+ " button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
	+ " 'ui-button-icon-only');\n",
	+ " button.attr('role', 'button');\n",
	+ " button.attr('aria-disabled', 'false');\n",
	+ " button.click(method_name, toolbar_event);\n",
	+ " button.mouseover(tooltip, toolbar_mouse_event);\n",
	+ "\n",
	+ " var icon_img = $('<span/>');\n",
	+ " icon_img.addClass('ui-button-icon-primary ui-icon');\n",
	+ " icon_img.addClass(image);\n",
	+ " icon_img.addClass('ui-corner-all');\n",
	+ "\n",
	+ " var tooltip_span = $('<span/>');\n",
	+ " tooltip_span.addClass('ui-button-text');\n",
	+ " tooltip_span.html(tooltip);\n",
	+ "\n",
	+ " button.append(icon_img);\n",
	+ " button.append(tooltip_span);\n",
	+ "\n",
	+ " nav_element.append(button);\n",
	+ " }\n",
	+ "\n",
	+ " var fmt_picker_span = $('<span/>');\n",
	+ "\n",
	+ " var fmt_picker = $('<select/>');\n",
	+ " fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
	+ " fmt_picker_span.append(fmt_picker);\n",
	+ " nav_element.append(fmt_picker_span);\n",
	+ " this.format_dropdown = fmt_picker[0];\n",
	+ "\n",
	+ " for (var ind in mpl.extensions) {\n",
	+ " var fmt = mpl.extensions[ind];\n",
	+ " var option = $(\n",
	+ " '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
	+ " fmt_picker.append(option)\n",
	+ " }\n",
	+ "\n",
	+ " // Add hover states to the ui-buttons\n",
	+ " $( \".ui-button\" ).hover(\n",
	+ " function() { $(this).addClass(\"ui-state-hover\");},\n",
	+ " function() { $(this).removeClass(\"ui-state-hover\");}\n",
	+ " );\n",
	+ "\n",
	+ " var status_bar = $('<span class=\"mpl-message\"/>');\n",
	+ " nav_element.append(status_bar);\n",
	+ " this.message = status_bar[0];\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
	+ " // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
	+ " // which will in turn request a refresh of the image.\n",
	+ " this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.send_message = function(type, properties) {\n",
	+ " properties['type'] = type;\n",
	+ " properties['figure_id'] = this.id;\n",
	+ " this.ws.send(JSON.stringify(properties));\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.send_draw_message = function() {\n",
	+ " if (!this.waiting) {\n",
	+ " this.waiting = true;\n",
	+ " this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
	+ " }\n",
	+ "}\n",
	+ "\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
	+ " var format_dropdown = fig.format_dropdown;\n",
	+ " var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
	+ " fig.ondownload(fig, format);\n",
	+ "}\n",
	+ "\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
	+ " var size = msg['size'];\n",
	+ " if (size[0] != fig.canvas.width \|\| size[1] != fig.canvas.height) {\n",
	+ " fig._resize_canvas(size[0], size[1]);\n",
	+ " fig.send_message(\"refresh\", {});\n",
	+ " };\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
	+ " var x0 = msg['x0'] / mpl.ratio;\n",
	+ " var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
	+ " var x1 = msg['x1'] / mpl.ratio;\n",
	+ " var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
	+ " x0 = Math.floor(x0) + 0.5;\n",
	+ " y0 = Math.floor(y0) + 0.5;\n",
	+ " x1 = Math.floor(x1) + 0.5;\n",
	+ " y1 = Math.floor(y1) + 0.5;\n",
	+ " var min_x = Math.min(x0, x1);\n",
	+ " var min_y = Math.min(y0, y1);\n",
	+ " var width = Math.abs(x1 - x0);\n",
	+ " var height = Math.abs(y1 - y0);\n",
	+ "\n",
	+ " fig.rubberband_context.clearRect(\n",
	+ " 0, 0, fig.canvas.width, fig.canvas.height);\n",
	+ "\n",
	+ " fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
	+ " // Updates the figure title.\n",
	+ " fig.header.textContent = msg['label'];\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
	+ " var cursor = msg['cursor'];\n",
	+ " switch(cursor)\n",
	+ " {\n",
	+ " case 0:\n",
	+ " cursor = 'pointer';\n",
	+ " break;\n",
	+ " case 1:\n",
	+ " cursor = 'default';\n",
	+ " break;\n",
	+ " case 2:\n",
	+ " cursor = 'crosshair';\n",
	+ " break;\n",
	+ " case 3:\n",
	+ " cursor = 'move';\n",
	+ " break;\n",
	+ " }\n",
	+ " fig.rubberband_canvas.style.cursor = cursor;\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
	+ " fig.message.textContent = msg['message'];\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
	+ " // Request the server to send over a new figure.\n",
	+ " fig.send_draw_message();\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
	+ " fig.image_mode = msg['mode'];\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.updated_canvas_event = function() {\n",
	+ " // Called whenever the canvas gets updated.\n",
	+ " this.send_message(\"ack\", {});\n",
	+ "}\n",
	+ "\n",
	+ "// A function to construct a web socket function for onmessage handling.\n",
	+ "// Called in the figure constructor.\n",
	+ "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
	+ " return function socket_on_message(evt) {\n",
	+ " if (evt.data instanceof Blob) {\n",
	+ " /* FIXME: We get \"Resource interpreted as Image but\n",
	+ " * transferred with MIME type text/plain:\" errors on\n",
	+ " * Chrome. But how to set the MIME type? It doesn't seem\n",
	+ " * to be part of the websocket stream */\n",
	+ " evt.data.type = \"image/png\";\n",
	+ "\n",
	+ " /* Free the memory for the previous frames */\n",
	+ " if (fig.imageObj.src) {\n",
	+ " (window.URL \|\| window.webkitURL).revokeObjectURL(\n",
	+ " fig.imageObj.src);\n",
	+ " }\n",
	+ "\n",
	+ " fig.imageObj.src = (window.URL \|\| window.webkitURL).createObjectURL(\n",
	+ " evt.data);\n",
	+ " fig.updated_canvas_event();\n",
	+ " fig.waiting = false;\n",
	+ " return;\n",
	+ " }\n",
	+ " else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
	+ " fig.imageObj.src = evt.data;\n",
	+ " fig.updated_canvas_event();\n",
	+ " fig.waiting = false;\n",
	+ " return;\n",
	+ " }\n",
	+ "\n",
	+ " var msg = JSON.parse(evt.data);\n",
	+ " var msg_type = msg['type'];\n",
	+ "\n",
	+ " // Call the \"handle_{type}\" callback, which takes\n",
	+ " // the figure and JSON message as its only arguments.\n",
	+ " try {\n",
	+ " var callback = fig[\"handle_\" + msg_type];\n",
	+ " } catch (e) {\n",
	+ " console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
	+ " return;\n",
	+ " }\n",
	+ "\n",
	+ " if (callback) {\n",
	+ " try {\n",
	+ " // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
	+ " callback(fig, msg);\n",
	+ " } catch (e) {\n",
	+ " console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
	+ " }\n",
	+ " }\n",
	+ " };\n",
	+ "}\n",
	+ "\n",
	+ "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
	+ "mpl.findpos = function(e) {\n",
	+ " //this section is from http://www.quirksmode.org/js/events_properties.html\n",
	+ " var targ;\n",
	+ " if (!e)\n",
	+ " e = window.event;\n",
	+ " if (e.target)\n",
	+ " targ = e.target;\n",
	+ " else if (e.srcElement)\n",
	+ " targ = e.srcElement;\n",
	+ " if (targ.nodeType == 3) // defeat Safari bug\n",
	+ " targ = targ.parentNode;\n",
	+ "\n",
	+ " // jQuery normalizes the pageX and pageY\n",
	+ " // pageX,Y are the mouse positions relative to the document\n",
	+ " // offset() returns the position of the element relative to the document\n",
	+ " var x = e.pageX - $(targ).offset().left;\n",
	+ " var y = e.pageY - $(targ).offset().top;\n",
	+ "\n",
	+ " return {\"x\": x, \"y\": y};\n",
	+ "};\n",
	+ "\n",
	+ "/*\n",
	+ " * return a copy of an object with only non-object keys\n",
	+ " * we need this to avoid circular references\n",
	+ " * http://stackoverflow.com/a/24161582/3208463\n",
	+ " */\n",
	+ "function simpleKeys (original) {\n",
	+ " return Object.keys(original).reduce(function (obj, key) {\n",
	+ " if (typeof original[key] !== 'object')\n",
	+ " obj[key] = original[key]\n",
	+ " return obj;\n",
	+ " }, {});\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.mouse_event = function(event, name) {\n",
	+ " var canvas_pos = mpl.findpos(event)\n",
	+ "\n",
	+ " if (name === 'button_press')\n",
	+ " {\n",
	+ " this.canvas.focus();\n",
	+ " this.canvas_div.focus();\n",
	+ " }\n",
	+ "\n",
	+ " var x = canvas_pos.x * mpl.ratio;\n",
	+ " var y = canvas_pos.y * mpl.ratio;\n",
	+ "\n",
	+ " this.send_message(name, {x: x, y: y, button: event.button,\n",
	+ " step: event.step,\n",
	+ " guiEvent: simpleKeys(event)});\n",
	+ "\n",
	+ " /* This prevents the web browser from automatically changing to\n",
	+ " * the text insertion cursor when the button is pressed. We want\n",
	+ " * to control all of the cursor setting manually through the\n",
	+ " * 'cursor' event from matplotlib */\n",
	+ " event.preventDefault();\n",
	+ " return false;\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
	+ " // Handle any extra behaviour associated with a key event\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.key_event = function(event, name) {\n",
	+ "\n",
	+ " // Prevent repeat events\n",
	+ " if (name == 'key_press')\n",
	+ " {\n",
	+ " if (event.which === this._key)\n",
	+ " return;\n",
	+ " else\n",
	+ " this._key = event.which;\n",
	+ " }\n",
	+ " if (name == 'key_release')\n",
	+ " this._key = null;\n",
	+ "\n",
	+ " var value = '';\n",
	+ " if (event.ctrlKey && event.which != 17)\n",
	+ " value += \"ctrl+\";\n",
	+ " if (event.altKey && event.which != 18)\n",
	+ " value += \"alt+\";\n",
	+ " if (event.shiftKey && event.which != 16)\n",
	+ " value += \"shift+\";\n",
	+ "\n",
	+ " value += 'k';\n",
	+ " value += event.which.toString();\n",
	+ "\n",
	+ " this._key_event_extra(event, name);\n",
	+ "\n",
	+ " this.send_message(name, {key: value,\n",
	+ " guiEvent: simpleKeys(event)});\n",
	+ " return false;\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
	+ " if (name == 'download') {\n",
	+ " this.handle_save(this, null);\n",
	+ " } else {\n",
	+ " this.send_message(\"toolbar_button\", {name: name});\n",
	+ " }\n",
	+ "};\n",
	+ "\n",
	+ "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
	+ " this.message.textContent = tooltip;\n",
	+ "};\n",
	+ "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
	+ "\n",
	+ "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
	+ "\n",
	+ "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
	+ " // Create a \"websocket\"-like object which calls the given IPython comm\n",
	+ " // object with the appropriate methods. Currently this is a non binary\n",
	+ " // socket, so there is still some room for performance tuning.\n",
	+ " var ws = {};\n",
	+ "\n",
	+ " ws.close = function() {\n",
	+ " comm.close()\n",
	+ " };\n",
	+ " ws.send = function(m) {\n",
	+ " //console.log('sending', m);\n",
	+ " comm.send(m);\n",
	+ " };\n",
	+ " // Register the callback with on_msg.\n",
	+ " comm.on_msg(function(msg) {\n",
	+ " //console.log('receiving', msg['content']['data'], msg);\n",
	+ " // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
	+ " ws.onmessage(msg['content']['data'])\n",
	+ " });\n",
	+ " return ws;\n",
	+ "}\n",
	+ "\n",
	+ "mpl.mpl_figure_comm = function(comm, msg) {\n",
	+ " // This is the function which gets called when the mpl process\n",
	+ " // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
	+ "\n",
	+ " var id = msg.content.data.id;\n",
	+ " // Get hold of the div created by the display call when the Comm\n",
	+ " // socket was opened in Python.\n",
	+ " var element = $(\"#\" + id);\n",
	+ " var ws_proxy = comm_websocket_adapter(comm)\n",
	+ "\n",
	+ " function ondownload(figure, format) {\n",
	+ " window.open(figure.imageObj.src);\n",
	+ " }\n",
	+ "\n",
	+ " var fig = new mpl.figure(id, ws_proxy,\n",
	+ " ondownload,\n",
	+ " element.get(0));\n",
	+ "\n",
	+ " // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
	+ " // web socket which is closed, not our websocket->open comm proxy.\n",
	+ " ws_proxy.onopen();\n",
	+ "\n",
	+ " fig.parent_element = element.get(0);\n",
	+ " fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
	+ " if (!fig.cell_info) {\n",
	+ " console.error(\"Failed to find cell for figure\", id, fig);\n",
	+ " return;\n",
	+ " }\n",
	+ "\n",
	+ " var output_index = fig.cell_info[2]\n",
	+ " var cell = fig.cell_info[0];\n",
	+ "\n",
	+ "};\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
	+ " var width = fig.canvas.width/mpl.ratio\n",
	+ " fig.root.unbind('remove')\n",
	+ "\n",
	+ " // Update the output cell to use the data from the current canvas.\n",
	+ " fig.push_to_output();\n",
	+ " var dataURL = fig.canvas.toDataURL();\n",
	+ " // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
	+ " // the notebook keyboard shortcuts fail.\n",
	+ " IPython.keyboard_manager.enable()\n",
	+ " $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
	+ " fig.close_ws(fig, msg);\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.close_ws = function(fig, msg){\n",
	+ " fig.send_message('closing', msg);\n",
	+ " // fig.ws.close()\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
	+ " // Turn the data on the canvas into data in the output cell.\n",
	+ " var width = this.canvas.width/mpl.ratio\n",
	+ " var dataURL = this.canvas.toDataURL();\n",
	+ " this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.updated_canvas_event = function() {\n",
	+ " // Tell IPython that the notebook contents must change.\n",
	+ " IPython.notebook.set_dirty(true);\n",
	+ " this.send_message(\"ack\", {});\n",
	+ " var fig = this;\n",
	+ " // Wait a second, then push the new image to the DOM so\n",
	+ " // that it is saved nicely (might be nice to debounce this).\n",
	+ " setTimeout(function () { fig.push_to_output() }, 1000);\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._init_toolbar = function() {\n",
	+ " var fig = this;\n",
	+ "\n",
	+ " var nav_element = $('<div/>')\n",
	+ " nav_element.attr('style', 'width: 100%');\n",
	+ " this.root.append(nav_element);\n",
	+ "\n",
	+ " // Define a callback function for later on.\n",
	+ " function toolbar_event(event) {\n",
	+ " return fig.toolbar_button_onclick(event['data']);\n",
	+ " }\n",
	+ " function toolbar_mouse_event(event) {\n",
	+ " return fig.toolbar_button_onmouseover(event['data']);\n",
	+ " }\n",
	+ "\n",
	+ " for(var toolbar_ind in mpl.toolbar_items){\n",
	+ " var name = mpl.toolbar_items[toolbar_ind][0];\n",
	+ " var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
	+ " var image = mpl.toolbar_items[toolbar_ind][2];\n",
	+ " var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
	+ "\n",
	+ " if (!name) { continue; };\n",
	+ "\n",
	+ " var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
	+ " button.click(method_name, toolbar_event);\n",
	+ " button.mouseover(tooltip, toolbar_mouse_event);\n",
	+ " nav_element.append(button);\n",
	+ " }\n",
	+ "\n",
	+ " // Add the status bar.\n",
	+ " var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
	+ " nav_element.append(status_bar);\n",
	+ " this.message = status_bar[0];\n",
	+ "\n",
	+ " // Add the close button to the window.\n",
	+ " var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
	+ " var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
	+ " button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
	+ " button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
	+ " buttongrp.append(button);\n",
	+ " var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
	+ " titlebar.prepend(buttongrp);\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._root_extra_style = function(el){\n",
	+ " var fig = this\n",
	+ " el.on(\"remove\", function(){\n",
	+ "\tfig.close_ws(fig, {});\n",
	+ " });\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._canvas_extra_style = function(el){\n",
	+ " // this is important to make the div 'focusable\n",
	+ " el.attr('tabindex', 0)\n",
	+ " // reach out to IPython and tell the keyboard manager to turn it's self\n",
	+ " // off when our div gets focus\n",
	+ "\n",
	+ " // location in version 3\n",
	+ " if (IPython.notebook.keyboard_manager) {\n",
	+ " IPython.notebook.keyboard_manager.register_events(el);\n",
	+ " }\n",
	+ " else {\n",
	+ " // location in version 2\n",
	+ " IPython.keyboard_manager.register_events(el);\n",
	+ " }\n",
	+ "\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
	+ " var manager = IPython.notebook.keyboard_manager;\n",
	+ " if (!manager)\n",
	+ " manager = IPython.keyboard_manager;\n",
	+ "\n",
	+ " // Check for shift+enter\n",
	+ " if (event.shiftKey && event.which == 13) {\n",
	+ " this.canvas_div.blur();\n",
	+ " event.shiftKey = false;\n",
	+ " // Send a \"J\" for go to next cell\n",
	+ " event.which = 74;\n",
	+ " event.keyCode = 74;\n",
	+ " manager.command_mode();\n",
	+ " manager.handle_keydown(event);\n",
	+ " }\n",
	+ "}\n",
	+ "\n",
	+ "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
	+ " fig.ondownload(fig, null);\n",
	+ "}\n",
	+ "\n",
	+ "\n",
	+ "mpl.find_output_cell = function(html_output) {\n",
	+ " // Return the cell and output element which can be found uniquely in the notebook.\n",
	+ " // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
	+ " // IPython event is triggered only after the cells have been serialised, which for\n",
	+ " // our purposes (turning an active figure into a static one), is too late.\n",
	+ " var cells = IPython.notebook.get_cells();\n",
	+ " var ncells = cells.length;\n",
	+ " for (var i=0; i<ncells; i++) {\n",
	+ " var cell = cells[i];\n",
	+ " if (cell.cell_type === 'code'){\n",
	+ " for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
	+ " var data = cell.output_area.outputs[j];\n",
	+ " if (data.data) {\n",
	+ " // IPython >= 3 moved mimebundle to data attribute of output\n",
	+ " data = data.data;\n",
	+ " }\n",
	+ " if (data['text/html'] == html_output) {\n",
	+ " return [cell, data, j];\n",
	+ " }\n",
	+ " }\n",
	+ " }\n",
	+ " }\n",
	+ "}\n",
	+ "\n",
	+ "// Register the function which deals with the matplotlib target/channel.\n",
	+ "// The kernel may be null if the page has been refreshed.\n",
	+ "if (IPython.notebook.kernel != null) {\n",
	+ " IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
	+ "}\n"
	+ ],
	+ "text/plain": [
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	+ },
	+ "metadata": {},
	+ "output_type": "display_data"
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\" width=\"640\">"
	+ ],
	+ "text/plain": [
	+ "<IPython.core.display.HTML object>"
	+ ]
	+ },
	+ "metadata": {},
	+ "output_type": "display_data"
	+ },
	+ {
	+ "data": {
	+ "text/plain": [
	+ "[<matplotlib.lines.Line2D at 0x319d562b0>]"
	+ ]
	+ },
	+ "execution_count": 10,
	+ "metadata": {},
	+ "output_type": "execute_result"
	+ }
	+ ],
	+ "source": [
	+ "data_array.plot()"
	+ ]
	+ },
	+ {
	+ "cell_type": "code",
	+ "execution_count": null,
	+ "metadata": {},
	+ "outputs": [],
	+ "source": []
	+ }
	+ ],
	+ "metadata": {
	+ "kernelspec": {
	+ "display_name": "Python 3",
	+ "language": "python",
	+ "name": "python3"
	+ },
	+ "language_info": {
	+ "codemirror_mode": {
	+ "name": "ipython",
	+ "version": 3
	+ },
	+ "file_extension": ".py",
	+ "mimetype": "text/x-python",
	+ "name": "python",
	+ "nbconvert_exporter": "python",
	+ "pygments_lexer": "ipython3",
	+ "version": "3.6.4"
	+ }
	+ },
	"nbformat": 4,
	"nbformat_minor": 2
	}
	diff --git a/Solar_Future/MeteoSwiss_daily.ipynb b/Solar_Future/MeteoSwiss_daily.ipynb
	index 29fed51..68c11bc 100644
	--- a/Solar_Future/MeteoSwiss_daily.ipynb
	+++ b/Solar_Future/MeteoSwiss_daily.ipynb
	@@ -1,7341 +1,7390 @@
	{
	"cells": [
	{
	"cell_type": "code",
	- "execution_count": 1,
	+ "execution_count": 17,
	"metadata": {},
	"outputs": [],
	"source": [
	"import xarray as xr\n",
	"import pandas as pd\n",
	"import numpy as np\n",
	- "# from rpy2.robjects import r, pandas2ri\n",
	+ "from rpy2.robjects import r, pandas2ri\n",
	+ "\n",
	+ "import os\n",
	"\n",
	- "import gdal\n",
	+ "# import gdal\n",
	"\n",
	"import matplotlib\n",
	"%matplotlib notebook\n",
	"import matplotlib.pyplot as plt"
	]
	},
	{
	"cell_type": "markdown",
	"metadata": {},
	"source": [
	"# Create yearly files of daily GHI projected to LV03\n",
	"1. Aggregate data as yearly files with daily data\n",
	"2. Load yearly GHI files in WSG94 (grass)\n",
	"3. Project GHI files to CH_LV03 using XXXXX\n",
	"4. Convert to 3D raster and export as netcdf\n",
	"5. Drop data based on precipitation raster & adjust coordinates (in python)\n",
	"6. Export and save on /work"
	]
	},
	{
	"cell_type": "markdown",
	"metadata": {},
	"source": [
	"### Step 1"
	]
	},
	{
	"cell_type": "code",
	"execution_count": 2,
	"metadata": {},
	"outputs": [],
	"source": [
	"year_hourly = xr.open_mfdataset('/Users/alinawalch/Downloads/MSG_SIS_H_2016/*.nc')"
	]
	},
	{
	"cell_type": "code",
	"execution_count": 3,
	"metadata": {},
	"outputs": [
	{
	"data": {
	"text/plain": [
	"<xarray.Dataset>\n",
	"Dimensions: (lat: 103, lon: 241, time: 8784)\n",
	"Coordinates:\n",
	" * lon (lon) float32 5.75 5.7708335 ... 10.729167 10.75\n",
	" * lat (lat) float32 45.75 45.770832 ... 47.854164 47.875\n",
	" * time (time) datetime64[ns] 2016-01-01 ... 2016-12-31T23:00:00\n",
	"Data variables:\n",
	" geographic_projection (time) \|S1 b'' b'' b'' b'' b'' ... b'' b'' b'' b''\n",
	" SIS (time, lat, lon) float32 dask.array<shape=(8784, 103, 241), chunksize=(24, 103, 241)>\n",
	"Attributes:\n",
	" Title: The HelioMont Surface Solar Radiation Process...\n",
	" Summary: Composited surface states, cloud properties a...\n",
	" Institution: Federal Office of Meteorology and Climatology...\n",
	" References: Reto Stockli (2013). The HelioMont Surface So...\n",
	" Conventions: CF-1.5\n",
	" Metadata_Conventions: Unidata Dataset Discovery v1.0\n",
	" Digital_Object_Identifier: not assigned\n",
	" Creator_Name: Reto Stockli\n",
	" Creator_Email: reto.stoeckli@meteoswiss.ch\n",
	" Creator_Url: http://www.meteoswiss.ch"
	]
	},
	"execution_count": 3,
	"metadata": {},
	"output_type": "execute_result"
	}
	],
	"source": [
	"year_hourly"
	]
	},
	{
	"cell_type": "code",
	"execution_count": 4,
	"metadata": {},
	"outputs": [],
	"source": [
	"year_daily = year_hourly['SIS'].resample(time = '1D').sum('time')"
	]
	},
	{
	"cell_type": "code",
	"execution_count": 5,
	"metadata": {},
	"outputs": [
	{
	"data": {
	"text/plain": [
	"<xarray.DataArray 'geographic_projection' ()>\n",
	"array(b'', dtype='\|S1')\n",
	"Coordinates:\n",
	" time datetime64[ns] 2016-01-01\n",
	"Attributes:\n",
	" grid_mapping_name: latitude_longitude\n",
	" datum: wgs84\n",
	" semi_major_axis: 6378137.0\n",
	" semi_minor_axis: 6356752.3\n",
	" spatial_ref: GEOGCS[\"WGS 84\",DATUM[\"WGS_1984\",SPHEROID[\"WGS 84\",63...\n",
	" version: 2.4.0"
	]
	},
	"execution_count": 5,
	"metadata": {},
	"output_type": "execute_result"
	}
	],
	"source": [
	"year_hourly.geographic_projection.isel(time = 0)"
	]
	},
	{
	"cell_type": "code",
	"execution_count": 6,
	"metadata": {},
	"outputs": [],
	"source": [
	"year_ds = xr.Dataset({'SIS' : year_daily})\n",
	"year_ds['geographic_projection'] = year_hourly.geographic_projection.isel(time = 0)\n",
	"year_ds.attrs = year_hourly.attrs"
	]
	},
	{
	"cell_type": "code",
	"execution_count": 7,
	"metadata": {},
	"outputs": [
	{
	"data": {
	"text/plain": [
	"<xarray.Dataset>\n",
	"Dimensions: (lat: 103, lon: 241, time: 366)\n",
	"Coordinates:\n",
	" * time (time) datetime64[ns] 2016-01-01 ... 2016-12-31\n",
	" * lon (lon) float32 5.75 5.7708335 ... 10.729167 10.75\n",
	" * lat (lat) float32 45.75 45.770832 ... 47.854164 47.875\n",
	"Data variables:\n",
	" SIS (time, lat, lon) float32 dask.array<shape=(366, 103, 241), chunksize=(1, 103, 241)>\n",
	" geographic_projection \|S1 b''\n",
	"Attributes:\n",
	" Title: The HelioMont Surface Solar Radiation Process...\n",
	" Summary: Composited surface states, cloud properties a...\n",
	" Institution: Federal Office of Meteorology and Climatology...\n",
	" References: Reto Stockli (2013). The HelioMont Surface So...\n",
	" Conventions: CF-1.5\n",
	" Metadata_Conventions: Unidata Dataset Discovery v1.0\n",
	" Digital_Object_Identifier: not assigned\n",
	" Creator_Name: Reto Stockli\n",
	" Creator_Email: reto.stoeckli@meteoswiss.ch\n",
	" Creator_Url: http://www.meteoswiss.ch"
	]
	},
	"execution_count": 7,
	"metadata": {},
	"output_type": "execute_result"
	}
	],
	"source": [
	"year_ds"
	]
	},
	{
	"cell_type": "code",
	"execution_count": 8,
	"metadata": {},
	"outputs": [
	{
	"data": {
	"text/plain": [
	"<xarray.DataArray 'geographic_projection' ()>\n",
	"array(b'', dtype='\|S1')\n",
	"Attributes:\n",
	" grid_mapping_name: latitude_longitude\n",
	" datum: wgs84\n",
	" semi_major_axis: 6378137.0\n",
	" semi_minor_axis: 6356752.3\n",
	" spatial_ref: GEOGCS[\"WGS 84\",DATUM[\"WGS_1984\",SPHEROID[\"WGS 84\",63...\n",
	" version: 2.4.0"
	]
	},
	"execution_count": 8,
	"metadata": {},
	"output_type": "execute_result"
	}
	],
	"source": [
	"year_ds.geographic_projection"
	]
	},
	{
	"cell_type": "code",
	"execution_count": 9,
	"metadata": {},
	"outputs": [
	{
	"data": {
	"application/javascript": [
	"/* Put everything inside the global mpl namespace */\n",
	"window.mpl = {};\n",
	"\n",
	"\n",
	"mpl.get_websocket_type = function() {\n",
	" if (typeof(WebSocket) !== 'undefined') {\n",
	" return WebSocket;\n",
	" } else if (typeof(MozWebSocket) !== 'undefined') {\n",
	" return MozWebSocket;\n",
	" } else {\n",
	" alert('Your browser does not have WebSocket support.' +\n",
	" 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
	" 'Firefox 4 and 5 are also supported but you ' +\n",
	" 'have to enable WebSockets in about:config.');\n",
	" };\n",
	"}\n",
	"\n",
	"mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
	" this.id = figure_id;\n",
	"\n",
	" this.ws = websocket;\n",
	"\n",
	" this.supports_binary = (this.ws.binaryType != undefined);\n",
	"\n",
	" if (!this.supports_binary) {\n",
	" var warnings = document.getElementById(\"mpl-warnings\");\n",
	" if (warnings) {\n",
	" warnings.style.display = 'block';\n",
	" warnings.textContent = (\n",
	" \"This browser does not support binary websocket messages. \" +\n",
	" \"Performance may be slow.\");\n",
	" }\n",
	" }\n",
	"\n",
	" this.imageObj = new Image();\n",
	"\n",
	" this.context = undefined;\n",
	" this.message = undefined;\n",
	" this.canvas = undefined;\n",
	" this.rubberband_canvas = undefined;\n",
	" this.rubberband_context = undefined;\n",
	" this.format_dropdown = undefined;\n",
	"\n",
	" this.image_mode = 'full';\n",
	"\n",
	" this.root = $('<div/>');\n",
	" this._root_extra_style(this.root)\n",
	" this.root.attr('style', 'display: inline-block');\n",
	"\n",
	" $(parent_element).append(this.root);\n",
	"\n",
	" this._init_header(this);\n",
	" this._init_canvas(this);\n",
	" this._init_toolbar(this);\n",
	"\n",
	" var fig = this;\n",
	"\n",
	" this.waiting = false;\n",
	"\n",
	" this.ws.onopen = function () {\n",
	" fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
	" fig.send_message(\"send_image_mode\", {});\n",
	" if (mpl.ratio != 1) {\n",
	" fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
	" }\n",
	" fig.send_message(\"refresh\", {});\n",
	" }\n",
	"\n",
	" this.imageObj.onload = function() {\n",
	" if (fig.image_mode == 'full') {\n",
	" // Full images could contain transparency (where diff images\n",
	" // almost always do), so we need to clear the canvas so that\n",
	" // there is no ghosting.\n",
	" fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
	" }\n",
	" fig.context.drawImage(fig.imageObj, 0, 0);\n",
	" };\n",
	"\n",
	" this.imageObj.onunload = function() {\n",
	" fig.ws.close();\n",
	" }\n",
	"\n",
	" this.ws.onmessage = this._make_on_message_function(this);\n",
	"\n",
	" this.ondownload = ondownload;\n",
	"}\n",
	"\n",
	"mpl.figure.prototype._init_header = function() {\n",
	" var titlebar = $(\n",
	" '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
	" 'ui-helper-clearfix\"/>');\n",
	" var titletext = $(\n",
	" '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
	" 'text-align: center; padding: 3px;\"/>');\n",
	" titlebar.append(titletext)\n",
	" this.root.append(titlebar);\n",
	" this.header = titletext[0];\n",
	"}\n",
	"\n",
	"\n",
	"\n",
	"mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
	"\n",
	"}\n",
	"\n",
	"\n",
	"mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
	"\n",
	"}\n",
	"\n",
	"mpl.figure.prototype._init_canvas = function() {\n",
	" var fig = this;\n",
	"\n",
	" var canvas_div = $('<div/>');\n",
	"\n",
	" canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
	"\n",
	" function canvas_keyboard_event(event) {\n",
	" return fig.key_event(event, event['data']);\n",
	" }\n",
	"\n",
	" canvas_div.keydown('key_press', canvas_keyboard_event);\n",
	" canvas_div.keyup('key_release', canvas_keyboard_event);\n",
	" this.canvas_div = canvas_div\n",
	" this._canvas_extra_style(canvas_div)\n",
	" this.root.append(canvas_div);\n",
	"\n",
	" var canvas = $('<canvas/>');\n",
	" canvas.addClass('mpl-canvas');\n",
	" canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
	"\n",
	" this.canvas = canvas[0];\n",
	" this.context = canvas[0].getContext(\"2d\");\n",
	"\n",
	" var backingStore = this.context.backingStorePixelRatio \|\|\n",
	"\tthis.context.webkitBackingStorePixelRatio \|\|\n",
	"\tthis.context.mozBackingStorePixelRatio \|\|\n",
	"\tthis.context.msBackingStorePixelRatio \|\|\n",
	"\tthis.context.oBackingStorePixelRatio \|\|\n",
	"\tthis.context.backingStorePixelRatio \|\| 1;\n",
	"\n",
	" mpl.ratio = (window.devicePixelRatio \|\| 1) / backingStore;\n",
	"\n",
	" var rubberband = $('<canvas/>');\n",
	" rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
	"\n",
	" var pass_mouse_events = true;\n",
	"\n",
	" canvas_div.resizable({\n",
	" start: function(event, ui) {\n",
	" pass_mouse_events = false;\n",
	" },\n",
	" resize: function(event, ui) {\n",
	" fig.request_resize(ui.size.width, ui.size.height);\n",
	" },\n",
	" stop: function(event, ui) {\n",
	" pass_mouse_events = true;\n",
	" fig.request_resize(ui.size.width, ui.size.height);\n",
	" },\n",
	" });\n",
	"\n",
	" function mouse_event_fn(event) {\n",
	" if (pass_mouse_events)\n",
	" return fig.mouse_event(event, event['data']);\n",
	" }\n",
	"\n",
	" rubberband.mousedown('button_press', mouse_event_fn);\n",
	" rubberband.mouseup('button_release', mouse_event_fn);\n",
	" // Throttle sequential mouse events to 1 every 20ms.\n",
	" rubberband.mousemove('motion_notify', mouse_event_fn);\n",
	"\n",
	" rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
	" rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
	"\n",
	" canvas_div.on(\"wheel\", function (event) {\n",
	" event = event.originalEvent;\n",
	" event['data'] = 'scroll'\n",
	" if (event.deltaY < 0) {\n",
	" event.step = 1;\n",
	" } else {\n",
	" event.step = -1;\n",
	" }\n",
	" mouse_event_fn(event);\n",
	" });\n",
	"\n",
	" canvas_div.append(canvas);\n",
	" canvas_div.append(rubberband);\n",
	"\n",
	" this.rubberband = rubberband;\n",
	" this.rubberband_canvas = rubberband[0];\n",
	" this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
	" this.rubberband_context.strokeStyle = \"#000000\";\n",
	"\n",
	" this._resize_canvas = function(width, height) {\n",
	" // Keep the size of the canvas, canvas container, and rubber band\n",
	" // canvas in synch.\n",
	" canvas_div.css('width', width)\n",
	" canvas_div.css('height', height)\n",
	"\n",
	" canvas.attr('width', width * mpl.ratio);\n",
	" canvas.attr('height', height * mpl.ratio);\n",
	" canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
	"\n",
	" rubberband.attr('width', width);\n",
	" rubberband.attr('height', height);\n",
	" }\n",
	"\n",
	" // Set the figure to an initial 600x600px, this will subsequently be updated\n",
	" // upon first draw.\n",
	" this._resize_canvas(600, 600);\n",
	"\n",
	" // Disable right mouse context menu.\n",
	" $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
	" return false;\n",
	" });\n",
	"\n",
	" function set_focus () {\n",
	" canvas.focus();\n",
	" canvas_div.focus();\n",
	" }\n",
	"\n",
	" window.setTimeout(set_focus, 100);\n",
	"}\n",
	"\n",
	"mpl.figure.prototype._init_toolbar = function() {\n",
	" var fig = this;\n",
	"\n",
	" var nav_element = $('<div/>')\n",
	" nav_element.attr('style', 'width: 100%');\n",
	" this.root.append(nav_element);\n",
	"\n",
	" // Define a callback function for later on.\n",
	" function toolbar_event(event) {\n",
	" return fig.toolbar_button_onclick(event['data']);\n",
	" }\n",
	" function toolbar_mouse_event(event) {\n",
	" return fig.toolbar_button_onmouseover(event['data']);\n",
	" }\n",
	"\n",
	" for(var toolbar_ind in mpl.toolbar_items) {\n",
	" var name = mpl.toolbar_items[toolbar_ind][0];\n",
	" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
	" var image = mpl.toolbar_items[toolbar_ind][2];\n",
	" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
	"\n",
	" if (!name) {\n",
	" // put a spacer in here.\n",
	" continue;\n",
	" }\n",
	" var button = $('<button/>');\n",
	" button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
	" 'ui-button-icon-only');\n",
	" button.attr('role', 'button');\n",
	" button.attr('aria-disabled', 'false');\n",
	" button.click(method_name, toolbar_event);\n",
	" button.mouseover(tooltip, toolbar_mouse_event);\n",
	"\n",
	" var icon_img = $('<span/>');\n",
	" icon_img.addClass('ui-button-icon-primary ui-icon');\n",
	" icon_img.addClass(image);\n",
	" icon_img.addClass('ui-corner-all');\n",
	"\n",
	" var tooltip_span = $('<span/>');\n",
	" tooltip_span.addClass('ui-button-text');\n",
	" tooltip_span.html(tooltip);\n",
	"\n",
	" button.append(icon_img);\n",
	" button.append(tooltip_span);\n",
	"\n",
	" nav_element.append(button);\n",
	" }\n",
	"\n",
	" var fmt_picker_span = $('<span/>');\n",
	"\n",
	" var fmt_picker = $('<select/>');\n",
	" fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
	" fmt_picker_span.append(fmt_picker);\n",
	" nav_element.append(fmt_picker_span);\n",
	" this.format_dropdown = fmt_picker[0];\n",
	"\n",
	" for (var ind in mpl.extensions) {\n",
	" var fmt = mpl.extensions[ind];\n",
	" var option = $(\n",
	" '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
	" fmt_picker.append(option)\n",
	" }\n",
	"\n",
	" // Add hover states to the ui-buttons\n",
	" $( \".ui-button\" ).hover(\n",
	" function() { $(this).addClass(\"ui-state-hover\");},\n",
	" function() { $(this).removeClass(\"ui-state-hover\");}\n",
	" );\n",
	"\n",
	" var status_bar = $('<span class=\"mpl-message\"/>');\n",
	" nav_element.append(status_bar);\n",
	" this.message = status_bar[0];\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
	" // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
	" // which will in turn request a refresh of the image.\n",
	" this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.send_message = function(type, properties) {\n",
	" properties['type'] = type;\n",
	" properties['figure_id'] = this.id;\n",
	" this.ws.send(JSON.stringify(properties));\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.send_draw_message = function() {\n",
	" if (!this.waiting) {\n",
	" this.waiting = true;\n",
	" this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
	" }\n",
	"}\n",
	"\n",
	"\n",
	"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
	" var format_dropdown = fig.format_dropdown;\n",
	" var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
	" fig.ondownload(fig, format);\n",
	"}\n",
	"\n",
	"\n",
	"mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
	" var size = msg['size'];\n",
	" if (size[0] != fig.canvas.width \|\| size[1] != fig.canvas.height) {\n",
	" fig._resize_canvas(size[0], size[1]);\n",
	" fig.send_message(\"refresh\", {});\n",
	" };\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
	" var x0 = msg['x0'] / mpl.ratio;\n",
	" var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
	" var x1 = msg['x1'] / mpl.ratio;\n",
	" var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
	" x0 = Math.floor(x0) + 0.5;\n",
	" y0 = Math.floor(y0) + 0.5;\n",
	" x1 = Math.floor(x1) + 0.5;\n",
	" y1 = Math.floor(y1) + 0.5;\n",
	" var min_x = Math.min(x0, x1);\n",
	" var min_y = Math.min(y0, y1);\n",
	" var width = Math.abs(x1 - x0);\n",
	" var height = Math.abs(y1 - y0);\n",
	"\n",
	" fig.rubberband_context.clearRect(\n",
	" 0, 0, fig.canvas.width, fig.canvas.height);\n",
	"\n",
	" fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
	" // Updates the figure title.\n",
	" fig.header.textContent = msg['label'];\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
	" var cursor = msg['cursor'];\n",
	" switch(cursor)\n",
	" {\n",
	" case 0:\n",
	" cursor = 'pointer';\n",
	" break;\n",
	" case 1:\n",
	" cursor = 'default';\n",
	" break;\n",
	" case 2:\n",
	" cursor = 'crosshair';\n",
	" break;\n",
	" case 3:\n",
	" cursor = 'move';\n",
	" break;\n",
	" }\n",
	" fig.rubberband_canvas.style.cursor = cursor;\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.handle_message = function(fig, msg) {\n",
	" fig.message.textContent = msg['message'];\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
	" // Request the server to send over a new figure.\n",
	" fig.send_draw_message();\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
	" fig.image_mode = msg['mode'];\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.updated_canvas_event = function() {\n",
	" // Called whenever the canvas gets updated.\n",
	" this.send_message(\"ack\", {});\n",
	"}\n",
	"\n",
	"// A function to construct a web socket function for onmessage handling.\n",
	"// Called in the figure constructor.\n",
	"mpl.figure.prototype._make_on_message_function = function(fig) {\n",
	" return function socket_on_message(evt) {\n",
	" if (evt.data instanceof Blob) {\n",
	" /* FIXME: We get \"Resource interpreted as Image but\n",
	" * transferred with MIME type text/plain:\" errors on\n",
	" * Chrome. But how to set the MIME type? It doesn't seem\n",
	" * to be part of the websocket stream */\n",
	" evt.data.type = \"image/png\";\n",
	"\n",
	" /* Free the memory for the previous frames */\n",
	" if (fig.imageObj.src) {\n",
	" (window.URL \|\| window.webkitURL).revokeObjectURL(\n",
	" fig.imageObj.src);\n",
	" }\n",
	"\n",
	" fig.imageObj.src = (window.URL \|\| window.webkitURL).createObjectURL(\n",
	" evt.data);\n",
	" fig.updated_canvas_event();\n",
	" fig.waiting = false;\n",
	" return;\n",
	" }\n",
	" else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
	" fig.imageObj.src = evt.data;\n",
	" fig.updated_canvas_event();\n",
	" fig.waiting = false;\n",
	" return;\n",
	" }\n",
	"\n",
	" var msg = JSON.parse(evt.data);\n",
	" var msg_type = msg['type'];\n",
	"\n",
	" // Call the \"handle_{type}\" callback, which takes\n",
	" // the figure and JSON message as its only arguments.\n",
	" try {\n",
	" var callback = fig[\"handle_\" + msg_type];\n",
	" } catch (e) {\n",
	" console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
	" return;\n",
	" }\n",
	"\n",
	" if (callback) {\n",
	" try {\n",
	" // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
	" callback(fig, msg);\n",
	" } catch (e) {\n",
	" console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
	" }\n",
	" }\n",
	" };\n",
	"}\n",
	"\n",
	"// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
	"mpl.findpos = function(e) {\n",
	" //this section is from http://www.quirksmode.org/js/events_properties.html\n",
	" var targ;\n",
	" if (!e)\n",
	" e = window.event;\n",
	" if (e.target)\n",
	" targ = e.target;\n",
	" else if (e.srcElement)\n",
	" targ = e.srcElement;\n",
	" if (targ.nodeType == 3) // defeat Safari bug\n",
	" targ = targ.parentNode;\n",
	"\n",
	" // jQuery normalizes the pageX and pageY\n",
	" // pageX,Y are the mouse positions relative to the document\n",
	" // offset() returns the position of the element relative to the document\n",
	" var x = e.pageX - $(targ).offset().left;\n",
	" var y = e.pageY - $(targ).offset().top;\n",
	"\n",
	" return {\"x\": x, \"y\": y};\n",
	"};\n",
	"\n",
	"/*\n",
	" * return a copy of an object with only non-object keys\n",
	" * we need this to avoid circular references\n",
	" * http://stackoverflow.com/a/24161582/3208463\n",
	" */\n",
	"function simpleKeys (original) {\n",
	" return Object.keys(original).reduce(function (obj, key) {\n",
	" if (typeof original[key] !== 'object')\n",
	" obj[key] = original[key]\n",
	" return obj;\n",
	" }, {});\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.mouse_event = function(event, name) {\n",
	" var canvas_pos = mpl.findpos(event)\n",
	"\n",
	" if (name === 'button_press')\n",
	" {\n",
	" this.canvas.focus();\n",
	" this.canvas_div.focus();\n",
	" }\n",
	"\n",
	" var x = canvas_pos.x * mpl.ratio;\n",
	" var y = canvas_pos.y * mpl.ratio;\n",
	"\n",
	" this.send_message(name, {x: x, y: y, button: event.button,\n",
	" step: event.step,\n",
	" guiEvent: simpleKeys(event)});\n",
	"\n",
	" /* This prevents the web browser from automatically changing to\n",
	" * the text insertion cursor when the button is pressed. We want\n",
	" * to control all of the cursor setting manually through the\n",
	" * 'cursor' event from matplotlib */\n",
	" event.preventDefault();\n",
	" return false;\n",
	"}\n",
	"\n",
	"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
	" // Handle any extra behaviour associated with a key event\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.key_event = function(event, name) {\n",
	"\n",
	" // Prevent repeat events\n",
	" if (name == 'key_press')\n",
	" {\n",
	" if (event.which === this._key)\n",
	" return;\n",
	" else\n",
	" this._key = event.which;\n",
	" }\n",
	" if (name == 'key_release')\n",
	" this._key = null;\n",
	"\n",
	" var value = '';\n",
	" if (event.ctrlKey && event.which != 17)\n",
	" value += \"ctrl+\";\n",
	" if (event.altKey && event.which != 18)\n",
	" value += \"alt+\";\n",
	" if (event.shiftKey && event.which != 16)\n",
	" value += \"shift+\";\n",
	"\n",
	" value += 'k';\n",
	" value += event.which.toString();\n",
	"\n",
	" this._key_event_extra(event, name);\n",
	"\n",
	" this.send_message(name, {key: value,\n",
	" guiEvent: simpleKeys(event)});\n",
	" return false;\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
	" if (name == 'download') {\n",
	" this.handle_save(this, null);\n",
	" } else {\n",
	" this.send_message(\"toolbar_button\", {name: name});\n",
	" }\n",
	"};\n",
	"\n",
	"mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
	" this.message.textContent = tooltip;\n",
	"};\n",
	"mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
	"\n",
	"mpl.extensions = [\"eps\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\n",
	"\n",
	"mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
	" // Create a \"websocket\"-like object which calls the given IPython comm\n",
	" // object with the appropriate methods. Currently this is a non binary\n",
	" // socket, so there is still some room for performance tuning.\n",
	" var ws = {};\n",
	"\n",
	" ws.close = function() {\n",
	" comm.close()\n",
	" };\n",
	" ws.send = function(m) {\n",
	" //console.log('sending', m);\n",
	" comm.send(m);\n",
	" };\n",
	" // Register the callback with on_msg.\n",
	" comm.on_msg(function(msg) {\n",
	" //console.log('receiving', msg['content']['data'], msg);\n",
	" // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
	" ws.onmessage(msg['content']['data'])\n",
	" });\n",
	" return ws;\n",
	"}\n",
	"\n",
	"mpl.mpl_figure_comm = function(comm, msg) {\n",
	" // This is the function which gets called when the mpl process\n",
	" // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
	"\n",
	" var id = msg.content.data.id;\n",
	" // Get hold of the div created by the display call when the Comm\n",
	" // socket was opened in Python.\n",
	" var element = $(\"#\" + id);\n",
	" var ws_proxy = comm_websocket_adapter(comm)\n",
	"\n",
	" function ondownload(figure, format) {\n",
	" window.open(figure.imageObj.src);\n",
	" }\n",
	"\n",
	" var fig = new mpl.figure(id, ws_proxy,\n",
	" ondownload,\n",
	" element.get(0));\n",
	"\n",
	" // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
	" // web socket which is closed, not our websocket->open comm proxy.\n",
	" ws_proxy.onopen();\n",
	"\n",
	" fig.parent_element = element.get(0);\n",
	" fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
	" if (!fig.cell_info) {\n",
	" console.error(\"Failed to find cell for figure\", id, fig);\n",
	" return;\n",
	" }\n",
	"\n",
	" var output_index = fig.cell_info[2]\n",
	" var cell = fig.cell_info[0];\n",
	"\n",
	"};\n",
	"\n",
	"mpl.figure.prototype.handle_close = function(fig, msg) {\n",
	" var width = fig.canvas.width/mpl.ratio\n",
	" fig.root.unbind('remove')\n",
	"\n",
	" // Update the output cell to use the data from the current canvas.\n",
	" fig.push_to_output();\n",
	" var dataURL = fig.canvas.toDataURL();\n",
	" // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
	" // the notebook keyboard shortcuts fail.\n",
	" IPython.keyboard_manager.enable()\n",
	" $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
	" fig.close_ws(fig, msg);\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.close_ws = function(fig, msg){\n",
	" fig.send_message('closing', msg);\n",
	" // fig.ws.close()\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
	" // Turn the data on the canvas into data in the output cell.\n",
	" var width = this.canvas.width/mpl.ratio\n",
	" var dataURL = this.canvas.toDataURL();\n",
	" this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.updated_canvas_event = function() {\n",
	" // Tell IPython that the notebook contents must change.\n",
	" IPython.notebook.set_dirty(true);\n",
	" this.send_message(\"ack\", {});\n",
	" var fig = this;\n",
	" // Wait a second, then push the new image to the DOM so\n",
	" // that it is saved nicely (might be nice to debounce this).\n",
	" setTimeout(function () { fig.push_to_output() }, 1000);\n",
	"}\n",
	"\n",
	"mpl.figure.prototype._init_toolbar = function() {\n",
	" var fig = this;\n",
	"\n",
	" var nav_element = $('<div/>')\n",
	" nav_element.attr('style', 'width: 100%');\n",
	" this.root.append(nav_element);\n",
	"\n",
	" // Define a callback function for later on.\n",
	" function toolbar_event(event) {\n",
	" return fig.toolbar_button_onclick(event['data']);\n",
	" }\n",
	" function toolbar_mouse_event(event) {\n",
	" return fig.toolbar_button_onmouseover(event['data']);\n",
	" }\n",
	"\n",
	" for(var toolbar_ind in mpl.toolbar_items){\n",
	" var name = mpl.toolbar_items[toolbar_ind][0];\n",
	" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
	" var image = mpl.toolbar_items[toolbar_ind][2];\n",
	" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
	"\n",
	" if (!name) { continue; };\n",
	"\n",
	" var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
	" button.click(method_name, toolbar_event);\n",
	" button.mouseover(tooltip, toolbar_mouse_event);\n",
	" nav_element.append(button);\n",
	" }\n",
	"\n",
	" // Add the status bar.\n",
	" var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
	" nav_element.append(status_bar);\n",
	" this.message = status_bar[0];\n",
	"\n",
	" // Add the close button to the window.\n",
	" var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
	" var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
	" button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
	" button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
	" buttongrp.append(button);\n",
	" var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
	" titlebar.prepend(buttongrp);\n",
	"}\n",
	"\n",
	"mpl.figure.prototype._root_extra_style = function(el){\n",
	" var fig = this\n",
	" el.on(\"remove\", function(){\n",
	"\tfig.close_ws(fig, {});\n",
	" });\n",
	"}\n",
	"\n",
	"mpl.figure.prototype._canvas_extra_style = function(el){\n",
	" // this is important to make the div 'focusable\n",
	" el.attr('tabindex', 0)\n",
	" // reach out to IPython and tell the keyboard manager to turn it's self\n",
	" // off when our div gets focus\n",
	"\n",
	" // location in version 3\n",
	" if (IPython.notebook.keyboard_manager) {\n",
	" IPython.notebook.keyboard_manager.register_events(el);\n",
	" }\n",
	" else {\n",
	" // location in version 2\n",
	" IPython.keyboard_manager.register_events(el);\n",
	" }\n",
	"\n",
	"}\n",
	"\n",
	"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
	" var manager = IPython.notebook.keyboard_manager;\n",
	" if (!manager)\n",
	" manager = IPython.keyboard_manager;\n",
	"\n",
	" // Check for shift+enter\n",
	" if (event.shiftKey && event.which == 13) {\n",
	" this.canvas_div.blur();\n",
	" event.shiftKey = false;\n",
	" // Send a \"J\" for go to next cell\n",
	" event.which = 74;\n",
	" event.keyCode = 74;\n",
	" manager.command_mode();\n",
	" manager.handle_keydown(event);\n",
	" }\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
	" fig.ondownload(fig, null);\n",
	"}\n",
	"\n",
	"\n",
	"mpl.find_output_cell = function(html_output) {\n",
	" // Return the cell and output element which can be found uniquely in the notebook.\n",
	" // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
	" // IPython event is triggered only after the cells have been serialised, which for\n",
	" // our purposes (turning an active figure into a static one), is too late.\n",
	" var cells = IPython.notebook.get_cells();\n",
	" var ncells = cells.length;\n",
	" for (var i=0; i<ncells; i++) {\n",
	" var cell = cells[i];\n",
	" if (cell.cell_type === 'code'){\n",
	" for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
	" var data = cell.output_area.outputs[j];\n",
	" if (data.data) {\n",
	" // IPython >= 3 moved mimebundle to data attribute of output\n",
	" data = data.data;\n",
	" }\n",
	" if (data['text/html'] == html_output) {\n",
	" return [cell, data, j];\n",
	" }\n",
	" }\n",
	" }\n",
	" }\n",
	"}\n",
	"\n",
	"// Register the function which deals with the matplotlib target/channel.\n",
	"// The kernel may be null if the page has been refreshed.\n",
	"if (IPython.notebook.kernel != null) {\n",
	" IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
	"}\n"
	],
	"text/plain": [
	"<IPython.core.display.Javascript object>"
	]
	},
	"metadata": {},
	"output_type": "display_data"
	},
	{
	"data": {
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\" width=\"320\">"
	],
	"text/plain": [
	"<IPython.core.display.HTML object>"
	]
	},
	"metadata": {},
	"output_type": "display_data"
	}
	],
	"source": [
	"plt.figure()\n",
	"year_ds.SIS.isel(lon = 5, lat = 5).plot()\n",
	"plt.show()"
	]
	},
	{
	"cell_type": "code",
	"execution_count": 10,
	"metadata": {},
	"outputs": [],
	"source": [
	"year_ds.to_netcdf('/Users/alinawalch/Downloads/MSG_SIS_H_2016.nc')"
	]
	},
	{
	"cell_type": "code",
	"execution_count": 11,
	"metadata": {},
	"outputs": [],
	"source": [
	"tst_ds = xr.open_dataset('/Users/alinawalch/Downloads/MSG_SIS_H_2011.nc')"
	]
	},
	{
	"cell_type": "code",
	"execution_count": 12,
	"metadata": {},
	"outputs": [
	{
	"data": {
	"application/javascript": [
	"/* Put everything inside the global mpl namespace */\n",
	"window.mpl = {};\n",
	"\n",
	"\n",
	"mpl.get_websocket_type = function() {\n",
	" if (typeof(WebSocket) !== 'undefined') {\n",
	" return WebSocket;\n",
	" } else if (typeof(MozWebSocket) !== 'undefined') {\n",
	" return MozWebSocket;\n",
	" } else {\n",
	" alert('Your browser does not have WebSocket support.' +\n",
	" 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
	" 'Firefox 4 and 5 are also supported but you ' +\n",
	" 'have to enable WebSockets in about:config.');\n",
	" };\n",
	"}\n",
	"\n",
	"mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
	" this.id = figure_id;\n",
	"\n",
	" this.ws = websocket;\n",
	"\n",
	" this.supports_binary = (this.ws.binaryType != undefined);\n",
	"\n",
	" if (!this.supports_binary) {\n",
	" var warnings = document.getElementById(\"mpl-warnings\");\n",
	" if (warnings) {\n",
	" warnings.style.display = 'block';\n",
	" warnings.textContent = (\n",
	" \"This browser does not support binary websocket messages. \" +\n",
	" \"Performance may be slow.\");\n",
	" }\n",
	" }\n",
	"\n",
	" this.imageObj = new Image();\n",
	"\n",
	" this.context = undefined;\n",
	" this.message = undefined;\n",
	" this.canvas = undefined;\n",
	" this.rubberband_canvas = undefined;\n",
	" this.rubberband_context = undefined;\n",
	" this.format_dropdown = undefined;\n",
	"\n",
	" this.image_mode = 'full';\n",
	"\n",
	" this.root = $('<div/>');\n",
	" this._root_extra_style(this.root)\n",
	" this.root.attr('style', 'display: inline-block');\n",
	"\n",
	" $(parent_element).append(this.root);\n",
	"\n",
	" this._init_header(this);\n",
	" this._init_canvas(this);\n",
	" this._init_toolbar(this);\n",
	"\n",
	" var fig = this;\n",
	"\n",
	" this.waiting = false;\n",
	"\n",
	" this.ws.onopen = function () {\n",
	" fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
	" fig.send_message(\"send_image_mode\", {});\n",
	" if (mpl.ratio != 1) {\n",
	" fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
	" }\n",
	" fig.send_message(\"refresh\", {});\n",
	" }\n",
	"\n",
	" this.imageObj.onload = function() {\n",
	" if (fig.image_mode == 'full') {\n",
	" // Full images could contain transparency (where diff images\n",
	" // almost always do), so we need to clear the canvas so that\n",
	" // there is no ghosting.\n",
	" fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
	" }\n",
	" fig.context.drawImage(fig.imageObj, 0, 0);\n",
	" };\n",
	"\n",
	" this.imageObj.onunload = function() {\n",
	" fig.ws.close();\n",
	" }\n",
	"\n",
	" this.ws.onmessage = this._make_on_message_function(this);\n",
	"\n",
	" this.ondownload = ondownload;\n",
	"}\n",
	"\n",
	"mpl.figure.prototype._init_header = function() {\n",
	" var titlebar = $(\n",
	" '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
	" 'ui-helper-clearfix\"/>');\n",
	" var titletext = $(\n",
	" '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
	" 'text-align: center; padding: 3px;\"/>');\n",
	" titlebar.append(titletext)\n",
	" this.root.append(titlebar);\n",
	" this.header = titletext[0];\n",
	"}\n",
	"\n",
	"\n",
	"\n",
	"mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
	"\n",
	"}\n",
	"\n",
	"\n",
	"mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
	"\n",
	"}\n",
	"\n",
	"mpl.figure.prototype._init_canvas = function() {\n",
	" var fig = this;\n",
	"\n",
	" var canvas_div = $('<div/>');\n",
	"\n",
	" canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
	"\n",
	" function canvas_keyboard_event(event) {\n",
	" return fig.key_event(event, event['data']);\n",
	" }\n",
	"\n",
	" canvas_div.keydown('key_press', canvas_keyboard_event);\n",
	" canvas_div.keyup('key_release', canvas_keyboard_event);\n",
	" this.canvas_div = canvas_div\n",
	" this._canvas_extra_style(canvas_div)\n",
	" this.root.append(canvas_div);\n",
	"\n",
	" var canvas = $('<canvas/>');\n",
	" canvas.addClass('mpl-canvas');\n",
	" canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
	"\n",
	" this.canvas = canvas[0];\n",
	" this.context = canvas[0].getContext(\"2d\");\n",
	"\n",
	" var backingStore = this.context.backingStorePixelRatio \|\|\n",
	"\tthis.context.webkitBackingStorePixelRatio \|\|\n",
	"\tthis.context.mozBackingStorePixelRatio \|\|\n",
	"\tthis.context.msBackingStorePixelRatio \|\|\n",
	"\tthis.context.oBackingStorePixelRatio \|\|\n",
	"\tthis.context.backingStorePixelRatio \|\| 1;\n",
	"\n",
	" mpl.ratio = (window.devicePixelRatio \|\| 1) / backingStore;\n",
	"\n",
	" var rubberband = $('<canvas/>');\n",
	" rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
	"\n",
	" var pass_mouse_events = true;\n",
	"\n",
	" canvas_div.resizable({\n",
	" start: function(event, ui) {\n",
	" pass_mouse_events = false;\n",
	" },\n",
	" resize: function(event, ui) {\n",
	" fig.request_resize(ui.size.width, ui.size.height);\n",
	" },\n",
	" stop: function(event, ui) {\n",
	" pass_mouse_events = true;\n",
	" fig.request_resize(ui.size.width, ui.size.height);\n",
	" },\n",
	" });\n",
	"\n",
	" function mouse_event_fn(event) {\n",
	" if (pass_mouse_events)\n",
	" return fig.mouse_event(event, event['data']);\n",
	" }\n",
	"\n",
	" rubberband.mousedown('button_press', mouse_event_fn);\n",
	" rubberband.mouseup('button_release', mouse_event_fn);\n",
	" // Throttle sequential mouse events to 1 every 20ms.\n",
	" rubberband.mousemove('motion_notify', mouse_event_fn);\n",
	"\n",
	" rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
	" rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
	"\n",
	" canvas_div.on(\"wheel\", function (event) {\n",
	" event = event.originalEvent;\n",
	" event['data'] = 'scroll'\n",
	" if (event.deltaY < 0) {\n",
	" event.step = 1;\n",
	" } else {\n",
	" event.step = -1;\n",
	" }\n",
	" mouse_event_fn(event);\n",
	" });\n",
	"\n",
	" canvas_div.append(canvas);\n",
	" canvas_div.append(rubberband);\n",
	"\n",
	" this.rubberband = rubberband;\n",
	" this.rubberband_canvas = rubberband[0];\n",
	" this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
	" this.rubberband_context.strokeStyle = \"#000000\";\n",
	"\n",
	" this._resize_canvas = function(width, height) {\n",
	" // Keep the size of the canvas, canvas container, and rubber band\n",
	" // canvas in synch.\n",
	" canvas_div.css('width', width)\n",
	" canvas_div.css('height', height)\n",
	"\n",
	" canvas.attr('width', width * mpl.ratio);\n",
	" canvas.attr('height', height * mpl.ratio);\n",
	" canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
	"\n",
	" rubberband.attr('width', width);\n",
	" rubberband.attr('height', height);\n",
	" }\n",
	"\n",
	" // Set the figure to an initial 600x600px, this will subsequently be updated\n",
	" // upon first draw.\n",
	" this._resize_canvas(600, 600);\n",
	"\n",
	" // Disable right mouse context menu.\n",
	" $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
	" return false;\n",
	" });\n",
	"\n",
	" function set_focus () {\n",
	" canvas.focus();\n",
	" canvas_div.focus();\n",
	" }\n",
	"\n",
	" window.setTimeout(set_focus, 100);\n",
	"}\n",
	"\n",
	"mpl.figure.prototype._init_toolbar = function() {\n",
	" var fig = this;\n",
	"\n",
	" var nav_element = $('<div/>')\n",
	" nav_element.attr('style', 'width: 100%');\n",
	" this.root.append(nav_element);\n",
	"\n",
	" // Define a callback function for later on.\n",
	" function toolbar_event(event) {\n",
	" return fig.toolbar_button_onclick(event['data']);\n",
	" }\n",
	" function toolbar_mouse_event(event) {\n",
	" return fig.toolbar_button_onmouseover(event['data']);\n",
	" }\n",
	"\n",
	" for(var toolbar_ind in mpl.toolbar_items) {\n",
	" var name = mpl.toolbar_items[toolbar_ind][0];\n",
	" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
	" var image = mpl.toolbar_items[toolbar_ind][2];\n",
	" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
	"\n",
	" if (!name) {\n",
	" // put a spacer in here.\n",
	" continue;\n",
	" }\n",
	" var button = $('<button/>');\n",
	" button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
	" 'ui-button-icon-only');\n",
	" button.attr('role', 'button');\n",
	" button.attr('aria-disabled', 'false');\n",
	" button.click(method_name, toolbar_event);\n",
	" button.mouseover(tooltip, toolbar_mouse_event);\n",
	"\n",
	" var icon_img = $('<span/>');\n",
	" icon_img.addClass('ui-button-icon-primary ui-icon');\n",
	" icon_img.addClass(image);\n",
	" icon_img.addClass('ui-corner-all');\n",
	"\n",
	" var tooltip_span = $('<span/>');\n",
	" tooltip_span.addClass('ui-button-text');\n",
	" tooltip_span.html(tooltip);\n",
	"\n",
	" button.append(icon_img);\n",
	" button.append(tooltip_span);\n",
	"\n",
	" nav_element.append(button);\n",
	" }\n",
	"\n",
	" var fmt_picker_span = $('<span/>');\n",
	"\n",
	" var fmt_picker = $('<select/>');\n",
	" fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
	" fmt_picker_span.append(fmt_picker);\n",
	" nav_element.append(fmt_picker_span);\n",
	" this.format_dropdown = fmt_picker[0];\n",
	"\n",
	" for (var ind in mpl.extensions) {\n",
	" var fmt = mpl.extensions[ind];\n",
	" var option = $(\n",
	" '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
	" fmt_picker.append(option)\n",
	" }\n",
	"\n",
	" // Add hover states to the ui-buttons\n",
	" $( \".ui-button\" ).hover(\n",
	" function() { $(this).addClass(\"ui-state-hover\");},\n",
	" function() { $(this).removeClass(\"ui-state-hover\");}\n",
	" );\n",
	"\n",
	" var status_bar = $('<span class=\"mpl-message\"/>');\n",
	" nav_element.append(status_bar);\n",
	" this.message = status_bar[0];\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
	" // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
	" // which will in turn request a refresh of the image.\n",
	" this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.send_message = function(type, properties) {\n",
	" properties['type'] = type;\n",
	" properties['figure_id'] = this.id;\n",
	" this.ws.send(JSON.stringify(properties));\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.send_draw_message = function() {\n",
	" if (!this.waiting) {\n",
	" this.waiting = true;\n",
	" this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
	" }\n",
	"}\n",
	"\n",
	"\n",
	"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
	" var format_dropdown = fig.format_dropdown;\n",
	" var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
	" fig.ondownload(fig, format);\n",
	"}\n",
	"\n",
	"\n",
	"mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
	" var size = msg['size'];\n",
	" if (size[0] != fig.canvas.width \|\| size[1] != fig.canvas.height) {\n",
	" fig._resize_canvas(size[0], size[1]);\n",
	" fig.send_message(\"refresh\", {});\n",
	" };\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
	" var x0 = msg['x0'] / mpl.ratio;\n",
	" var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
	" var x1 = msg['x1'] / mpl.ratio;\n",
	" var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
	" x0 = Math.floor(x0) + 0.5;\n",
	" y0 = Math.floor(y0) + 0.5;\n",
	" x1 = Math.floor(x1) + 0.5;\n",
	" y1 = Math.floor(y1) + 0.5;\n",
	" var min_x = Math.min(x0, x1);\n",
	" var min_y = Math.min(y0, y1);\n",
	" var width = Math.abs(x1 - x0);\n",
	" var height = Math.abs(y1 - y0);\n",
	"\n",
	" fig.rubberband_context.clearRect(\n",
	" 0, 0, fig.canvas.width, fig.canvas.height);\n",
	"\n",
	" fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
	" // Updates the figure title.\n",
	" fig.header.textContent = msg['label'];\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
	" var cursor = msg['cursor'];\n",
	" switch(cursor)\n",
	" {\n",
	" case 0:\n",
	" cursor = 'pointer';\n",
	" break;\n",
	" case 1:\n",
	" cursor = 'default';\n",
	" break;\n",
	" case 2:\n",
	" cursor = 'crosshair';\n",
	" break;\n",
	" case 3:\n",
	" cursor = 'move';\n",
	" break;\n",
	" }\n",
	" fig.rubberband_canvas.style.cursor = cursor;\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.handle_message = function(fig, msg) {\n",
	" fig.message.textContent = msg['message'];\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
	" // Request the server to send over a new figure.\n",
	" fig.send_draw_message();\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
	" fig.image_mode = msg['mode'];\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.updated_canvas_event = function() {\n",
	" // Called whenever the canvas gets updated.\n",
	" this.send_message(\"ack\", {});\n",
	"}\n",
	"\n",
	"// A function to construct a web socket function for onmessage handling.\n",
	"// Called in the figure constructor.\n",
	"mpl.figure.prototype._make_on_message_function = function(fig) {\n",
	" return function socket_on_message(evt) {\n",
	" if (evt.data instanceof Blob) {\n",
	" /* FIXME: We get \"Resource interpreted as Image but\n",
	" * transferred with MIME type text/plain:\" errors on\n",
	" * Chrome. But how to set the MIME type? It doesn't seem\n",
	" * to be part of the websocket stream */\n",
	" evt.data.type = \"image/png\";\n",
	"\n",
	" /* Free the memory for the previous frames */\n",
	" if (fig.imageObj.src) {\n",
	" (window.URL \|\| window.webkitURL).revokeObjectURL(\n",
	" fig.imageObj.src);\n",
	" }\n",
	"\n",
	" fig.imageObj.src = (window.URL \|\| window.webkitURL).createObjectURL(\n",
	" evt.data);\n",
	" fig.updated_canvas_event();\n",
	" fig.waiting = false;\n",
	" return;\n",
	" }\n",
	" else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
	" fig.imageObj.src = evt.data;\n",
	" fig.updated_canvas_event();\n",
	" fig.waiting = false;\n",
	" return;\n",
	" }\n",
	"\n",
	" var msg = JSON.parse(evt.data);\n",
	" var msg_type = msg['type'];\n",
	"\n",
	" // Call the \"handle_{type}\" callback, which takes\n",
	" // the figure and JSON message as its only arguments.\n",
	" try {\n",
	" var callback = fig[\"handle_\" + msg_type];\n",
	" } catch (e) {\n",
	" console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
	" return;\n",
	" }\n",
	"\n",
	" if (callback) {\n",
	" try {\n",
	" // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
	" callback(fig, msg);\n",
	" } catch (e) {\n",
	" console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
	" }\n",
	" }\n",
	" };\n",
	"}\n",
	"\n",
	"// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
	"mpl.findpos = function(e) {\n",
	" //this section is from http://www.quirksmode.org/js/events_properties.html\n",
	" var targ;\n",
	" if (!e)\n",
	" e = window.event;\n",
	" if (e.target)\n",
	" targ = e.target;\n",
	" else if (e.srcElement)\n",
	" targ = e.srcElement;\n",
	" if (targ.nodeType == 3) // defeat Safari bug\n",
	" targ = targ.parentNode;\n",
	"\n",
	" // jQuery normalizes the pageX and pageY\n",
	" // pageX,Y are the mouse positions relative to the document\n",
	" // offset() returns the position of the element relative to the document\n",
	" var x = e.pageX - $(targ).offset().left;\n",
	" var y = e.pageY - $(targ).offset().top;\n",
	"\n",
	" return {\"x\": x, \"y\": y};\n",
	"};\n",
	"\n",
	"/*\n",
	" * return a copy of an object with only non-object keys\n",
	" * we need this to avoid circular references\n",
	" * http://stackoverflow.com/a/24161582/3208463\n",
	" */\n",
	"function simpleKeys (original) {\n",
	" return Object.keys(original).reduce(function (obj, key) {\n",
	" if (typeof original[key] !== 'object')\n",
	" obj[key] = original[key]\n",
	" return obj;\n",
	" }, {});\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.mouse_event = function(event, name) {\n",
	" var canvas_pos = mpl.findpos(event)\n",
	"\n",
	" if (name === 'button_press')\n",
	" {\n",
	" this.canvas.focus();\n",
	" this.canvas_div.focus();\n",
	" }\n",
	"\n",
	" var x = canvas_pos.x * mpl.ratio;\n",
	" var y = canvas_pos.y * mpl.ratio;\n",
	"\n",
	" this.send_message(name, {x: x, y: y, button: event.button,\n",
	" step: event.step,\n",
	" guiEvent: simpleKeys(event)});\n",
	"\n",
	" /* This prevents the web browser from automatically changing to\n",
	" * the text insertion cursor when the button is pressed. We want\n",
	" * to control all of the cursor setting manually through the\n",
	" * 'cursor' event from matplotlib */\n",
	" event.preventDefault();\n",
	" return false;\n",
	"}\n",
	"\n",
	"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
	" // Handle any extra behaviour associated with a key event\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.key_event = function(event, name) {\n",
	"\n",
	" // Prevent repeat events\n",
	" if (name == 'key_press')\n",
	" {\n",
	" if (event.which === this._key)\n",
	" return;\n",
	" else\n",
	" this._key = event.which;\n",
	" }\n",
	" if (name == 'key_release')\n",
	" this._key = null;\n",
	"\n",
	" var value = '';\n",
	" if (event.ctrlKey && event.which != 17)\n",
	" value += \"ctrl+\";\n",
	" if (event.altKey && event.which != 18)\n",
	" value += \"alt+\";\n",
	" if (event.shiftKey && event.which != 16)\n",
	" value += \"shift+\";\n",
	"\n",
	" value += 'k';\n",
	" value += event.which.toString();\n",
	"\n",
	" this._key_event_extra(event, name);\n",
	"\n",
	" this.send_message(name, {key: value,\n",
	" guiEvent: simpleKeys(event)});\n",
	" return false;\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
	" if (name == 'download') {\n",
	" this.handle_save(this, null);\n",
	" } else {\n",
	" this.send_message(\"toolbar_button\", {name: name});\n",
	" }\n",
	"};\n",
	"\n",
	"mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
	" this.message.textContent = tooltip;\n",
	"};\n",
	"mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
	"\n",
	"mpl.extensions = [\"eps\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\n",
	"\n",
	"mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
	" // Create a \"websocket\"-like object which calls the given IPython comm\n",
	" // object with the appropriate methods. Currently this is a non binary\n",
	" // socket, so there is still some room for performance tuning.\n",
	" var ws = {};\n",
	"\n",
	" ws.close = function() {\n",
	" comm.close()\n",
	" };\n",
	" ws.send = function(m) {\n",
	" //console.log('sending', m);\n",
	" comm.send(m);\n",
	" };\n",
	" // Register the callback with on_msg.\n",
	" comm.on_msg(function(msg) {\n",
	" //console.log('receiving', msg['content']['data'], msg);\n",
	" // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
	" ws.onmessage(msg['content']['data'])\n",
	" });\n",
	" return ws;\n",
	"}\n",
	"\n",
	"mpl.mpl_figure_comm = function(comm, msg) {\n",
	" // This is the function which gets called when the mpl process\n",
	" // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
	"\n",
	" var id = msg.content.data.id;\n",
	" // Get hold of the div created by the display call when the Comm\n",
	" // socket was opened in Python.\n",
	" var element = $(\"#\" + id);\n",
	" var ws_proxy = comm_websocket_adapter(comm)\n",
	"\n",
	" function ondownload(figure, format) {\n",
	" window.open(figure.imageObj.src);\n",
	" }\n",
	"\n",
	" var fig = new mpl.figure(id, ws_proxy,\n",
	" ondownload,\n",
	" element.get(0));\n",
	"\n",
	" // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
	" // web socket which is closed, not our websocket->open comm proxy.\n",
	" ws_proxy.onopen();\n",
	"\n",
	" fig.parent_element = element.get(0);\n",
	" fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
	" if (!fig.cell_info) {\n",
	" console.error(\"Failed to find cell for figure\", id, fig);\n",
	" return;\n",
	" }\n",
	"\n",
	" var output_index = fig.cell_info[2]\n",
	" var cell = fig.cell_info[0];\n",
	"\n",
	"};\n",
	"\n",
	"mpl.figure.prototype.handle_close = function(fig, msg) {\n",
	" var width = fig.canvas.width/mpl.ratio\n",
	" fig.root.unbind('remove')\n",
	"\n",
	" // Update the output cell to use the data from the current canvas.\n",
	" fig.push_to_output();\n",
	" var dataURL = fig.canvas.toDataURL();\n",
	" // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
	" // the notebook keyboard shortcuts fail.\n",
	" IPython.keyboard_manager.enable()\n",
	" $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
	" fig.close_ws(fig, msg);\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.close_ws = function(fig, msg){\n",
	" fig.send_message('closing', msg);\n",
	" // fig.ws.close()\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
	" // Turn the data on the canvas into data in the output cell.\n",
	" var width = this.canvas.width/mpl.ratio\n",
	" var dataURL = this.canvas.toDataURL();\n",
	" this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.updated_canvas_event = function() {\n",
	" // Tell IPython that the notebook contents must change.\n",
	" IPython.notebook.set_dirty(true);\n",
	" this.send_message(\"ack\", {});\n",
	" var fig = this;\n",
	" // Wait a second, then push the new image to the DOM so\n",
	" // that it is saved nicely (might be nice to debounce this).\n",
	" setTimeout(function () { fig.push_to_output() }, 1000);\n",
	"}\n",
	"\n",
	"mpl.figure.prototype._init_toolbar = function() {\n",
	" var fig = this;\n",
	"\n",
	" var nav_element = $('<div/>')\n",
	" nav_element.attr('style', 'width: 100%');\n",
	" this.root.append(nav_element);\n",
	"\n",
	" // Define a callback function for later on.\n",
	" function toolbar_event(event) {\n",
	" return fig.toolbar_button_onclick(event['data']);\n",
	" }\n",
	" function toolbar_mouse_event(event) {\n",
	" return fig.toolbar_button_onmouseover(event['data']);\n",
	" }\n",
	"\n",
	" for(var toolbar_ind in mpl.toolbar_items){\n",
	" var name = mpl.toolbar_items[toolbar_ind][0];\n",
	" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
	" var image = mpl.toolbar_items[toolbar_ind][2];\n",
	" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
	"\n",
	" if (!name) { continue; };\n",
	"\n",
	" var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
	" button.click(method_name, toolbar_event);\n",
	" button.mouseover(tooltip, toolbar_mouse_event);\n",
	" nav_element.append(button);\n",
	" }\n",
	"\n",
	" // Add the status bar.\n",
	" var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
	" nav_element.append(status_bar);\n",
	" this.message = status_bar[0];\n",
	"\n",
	" // Add the close button to the window.\n",
	" var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
	" var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
	" button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
	" button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
	" buttongrp.append(button);\n",
	" var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
	" titlebar.prepend(buttongrp);\n",
	"}\n",
	"\n",
	"mpl.figure.prototype._root_extra_style = function(el){\n",
	" var fig = this\n",
	" el.on(\"remove\", function(){\n",
	"\tfig.close_ws(fig, {});\n",
	" });\n",
	"}\n",
	"\n",
	"mpl.figure.prototype._canvas_extra_style = function(el){\n",
	" // this is important to make the div 'focusable\n",
	" el.attr('tabindex', 0)\n",
	" // reach out to IPython and tell the keyboard manager to turn it's self\n",
	" // off when our div gets focus\n",
	"\n",
	" // location in version 3\n",
	" if (IPython.notebook.keyboard_manager) {\n",
	" IPython.notebook.keyboard_manager.register_events(el);\n",
	" }\n",
	" else {\n",
	" // location in version 2\n",
	" IPython.keyboard_manager.register_events(el);\n",
	" }\n",
	"\n",
	"}\n",
	"\n",
	"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
	" var manager = IPython.notebook.keyboard_manager;\n",
	" if (!manager)\n",
	" manager = IPython.keyboard_manager;\n",
	"\n",
	" // Check for shift+enter\n",
	" if (event.shiftKey && event.which == 13) {\n",
	" this.canvas_div.blur();\n",
	" event.shiftKey = false;\n",
	" // Send a \"J\" for go to next cell\n",
	" event.which = 74;\n",
	" event.keyCode = 74;\n",
	" manager.command_mode();\n",
	" manager.handle_keydown(event);\n",
	" }\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
	" fig.ondownload(fig, null);\n",
	"}\n",
	"\n",
	"\n",
	"mpl.find_output_cell = function(html_output) {\n",
	" // Return the cell and output element which can be found uniquely in the notebook.\n",
	" // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
	" // IPython event is triggered only after the cells have been serialised, which for\n",
	" // our purposes (turning an active figure into a static one), is too late.\n",
	" var cells = IPython.notebook.get_cells();\n",
	" var ncells = cells.length;\n",
	" for (var i=0; i<ncells; i++) {\n",
	" var cell = cells[i];\n",
	" if (cell.cell_type === 'code'){\n",
	" for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
	" var data = cell.output_area.outputs[j];\n",
	" if (data.data) {\n",
	" // IPython >= 3 moved mimebundle to data attribute of output\n",
	" data = data.data;\n",
	" }\n",
	" if (data['text/html'] == html_output) {\n",
	" return [cell, data, j];\n",
	" }\n",
	" }\n",
	" }\n",
	" }\n",
	"}\n",
	"\n",
	"// Register the function which deals with the matplotlib target/channel.\n",
	"// The kernel may be null if the page has been refreshed.\n",
	"if (IPython.notebook.kernel != null) {\n",
	" IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
	"}\n"
	],
	"text/plain": [
	"<IPython.core.display.Javascript object>"
	]
	},
	"metadata": {},
	"output_type": "display_data"
	},
	{
	"data": {
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\" width=\"320\">"
	],
	"text/plain": [
	"<IPython.core.display.HTML object>"
	]
	},
	"metadata": {},
	"output_type": "display_data"
	}
	],
	"source": [
	"plt.figure()\n",
	"tst_ds.SIS.isel(lon = 5, lat = 5).plot()\n",
	"plt.show()"
	]
	},
	{
	"cell_type": "markdown",
	"metadata": {},
	"source": [
	"### Steps 2-4: executed in GRASS - DONE in grass workspace_prepare_ML"
	]
	},
	{
	"cell_type": "markdown",
	"metadata": {},
	"source": [
	"### Step 5:\n",
	"Still needs to be applied to all files in /scratch/walch/grassgis/scripts/executables/workspace_prepare_ML/yearly_files"
	]
	},
	{
	"cell_type": "code",
	"execution_count": 2,
	"metadata": {},
	"outputs": [],
	"source": [
	"YEAR = 2004"
	]
	},
	{
	"cell_type": "code",
	"execution_count": 3,
	"metadata": {},
	"outputs": [],
	"source": [
	"# Reference file:\n",
	"ref = ('/Users/alinawalch/Downloads/RhiresD_ch01r.swisscors_%d01010000_%d12310000.nc' %(YEAR, YEAR))\n",
	"ref = xr.open_dataset(ref)"
	]
	},
	{
	"cell_type": "code",
	"execution_count": 4,
	"metadata": {},
	"outputs": [],
	"source": [
	"proj_ds = xr.open_dataset('/Users/alinawalch/Downloads/MSG_SIS_D_%d_nearest.nc' %YEAR)"
	]
	},
	{
	"cell_type": "code",
	"execution_count": 5,
	"metadata": {},
	"outputs": [
	{
	"data": {
	"text/plain": [
	"<xarray.Dataset>\n",
	"Dimensions: (time: 366, x: 370, y: 240)\n",
	"Coordinates:\n",
	" * x (x) float32 474500.0 475500.0 476500.0 ... 842500.0 843500.0\n",
	" * y (y) float32 303500.0 302500.0 301500.0 ... 65500.0 64500.0\n",
	" * time (time) float32 0.5 1.5 2.5 3.5 4.5 ... 362.5 363.5 364.5 365.5\n",
	"Data variables:\n",
	" crs \|S1 ...\n",
	" SIS_D_2004 (time, y, x) float64 ...\n",
	"Attributes:\n",
	" Conventions: CF-1.5\n",
	" history: GRASS GIS 7 netCDF export of r3.out.netcdf"
	]
	},
	"execution_count": 5,
	"metadata": {},
	"output_type": "execute_result"
	}
	],
	"source": [
	"proj_ds.rename({ 'z' : 'time' }, inplace = True)"
	]
	},
	{
	"cell_type": "code",
	"execution_count": 6,
	"metadata": {},
	"outputs": [],
	"source": [
	"proj_ds.coords['time'] = ref.time"
	]
	},
	{
	"cell_type": "code",
	"execution_count": 7,
	"metadata": {},
	"outputs": [],
	"source": [
	"mask_array = ref.RhiresD.isel(time = 0).values * 0 + 1\n",
	"CH_mask = xr.DataArray(np.flip(mask_array, axis = 0), coords = [proj_ds.y, proj_ds.x])\n",
	"proj_ds['SIS_CH'] = proj_ds[('SIS_D_%d' %YEAR)].where(CH_mask == 1)"
	]
	},
	{
	"cell_type": "code",
	"execution_count": null,
	"metadata": {},
	"outputs": [],
	"source": []
	},
	{
	"cell_type": "code",
	"execution_count": 8,
	"metadata": {},
	"outputs": [],
	"source": [
	"ds_out = proj_ds.drop('SIS_D_%d' %YEAR)"
	]
	},
	{
	"cell_type": "code",
	"execution_count": 9,
	"metadata": {},
	"outputs": [
	{
	"data": {
	"application/javascript": [
	"/* Put everything inside the global mpl namespace */\n",
	"window.mpl = {};\n",
	"\n",
	"\n",
	"mpl.get_websocket_type = function() {\n",
	" if (typeof(WebSocket) !== 'undefined') {\n",
	" return WebSocket;\n",
	" } else if (typeof(MozWebSocket) !== 'undefined') {\n",
	" return MozWebSocket;\n",
	" } else {\n",
	" alert('Your browser does not have WebSocket support.' +\n",
	" 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
	" 'Firefox 4 and 5 are also supported but you ' +\n",
	" 'have to enable WebSockets in about:config.');\n",
	" };\n",
	"}\n",
	"\n",
	"mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
	" this.id = figure_id;\n",
	"\n",
	" this.ws = websocket;\n",
	"\n",
	" this.supports_binary = (this.ws.binaryType != undefined);\n",
	"\n",
	" if (!this.supports_binary) {\n",
	" var warnings = document.getElementById(\"mpl-warnings\");\n",
	" if (warnings) {\n",
	" warnings.style.display = 'block';\n",
	" warnings.textContent = (\n",
	" \"This browser does not support binary websocket messages. \" +\n",
	" \"Performance may be slow.\");\n",
	" }\n",
	" }\n",
	"\n",
	" this.imageObj = new Image();\n",
	"\n",
	" this.context = undefined;\n",
	" this.message = undefined;\n",
	" this.canvas = undefined;\n",
	" this.rubberband_canvas = undefined;\n",
	" this.rubberband_context = undefined;\n",
	" this.format_dropdown = undefined;\n",
	"\n",
	" this.image_mode = 'full';\n",
	"\n",
	" this.root = $('<div/>');\n",
	" this._root_extra_style(this.root)\n",
	" this.root.attr('style', 'display: inline-block');\n",
	"\n",
	" $(parent_element).append(this.root);\n",
	"\n",
	" this._init_header(this);\n",
	" this._init_canvas(this);\n",
	" this._init_toolbar(this);\n",
	"\n",
	" var fig = this;\n",
	"\n",
	" this.waiting = false;\n",
	"\n",
	" this.ws.onopen = function () {\n",
	" fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
	" fig.send_message(\"send_image_mode\", {});\n",
	" if (mpl.ratio != 1) {\n",
	" fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
	" }\n",
	" fig.send_message(\"refresh\", {});\n",
	" }\n",
	"\n",
	" this.imageObj.onload = function() {\n",
	" if (fig.image_mode == 'full') {\n",
	" // Full images could contain transparency (where diff images\n",
	" // almost always do), so we need to clear the canvas so that\n",
	" // there is no ghosting.\n",
	" fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
	" }\n",
	" fig.context.drawImage(fig.imageObj, 0, 0);\n",
	" };\n",
	"\n",
	" this.imageObj.onunload = function() {\n",
	" fig.ws.close();\n",
	" }\n",
	"\n",
	" this.ws.onmessage = this._make_on_message_function(this);\n",
	"\n",
	" this.ondownload = ondownload;\n",
	"}\n",
	"\n",
	"mpl.figure.prototype._init_header = function() {\n",
	" var titlebar = $(\n",
	" '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
	" 'ui-helper-clearfix\"/>');\n",
	" var titletext = $(\n",
	" '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
	" 'text-align: center; padding: 3px;\"/>');\n",
	" titlebar.append(titletext)\n",
	" this.root.append(titlebar);\n",
	" this.header = titletext[0];\n",
	"}\n",
	"\n",
	"\n",
	"\n",
	"mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
	"\n",
	"}\n",
	"\n",
	"\n",
	"mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
	"\n",
	"}\n",
	"\n",
	"mpl.figure.prototype._init_canvas = function() {\n",
	" var fig = this;\n",
	"\n",
	" var canvas_div = $('<div/>');\n",
	"\n",
	" canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
	"\n",
	" function canvas_keyboard_event(event) {\n",
	" return fig.key_event(event, event['data']);\n",
	" }\n",
	"\n",
	" canvas_div.keydown('key_press', canvas_keyboard_event);\n",
	" canvas_div.keyup('key_release', canvas_keyboard_event);\n",
	" this.canvas_div = canvas_div\n",
	" this._canvas_extra_style(canvas_div)\n",
	" this.root.append(canvas_div);\n",
	"\n",
	" var canvas = $('<canvas/>');\n",
	" canvas.addClass('mpl-canvas');\n",
	" canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
	"\n",
	" this.canvas = canvas[0];\n",
	" this.context = canvas[0].getContext(\"2d\");\n",
	"\n",
	" var backingStore = this.context.backingStorePixelRatio \|\|\n",
	"\tthis.context.webkitBackingStorePixelRatio \|\|\n",
	"\tthis.context.mozBackingStorePixelRatio \|\|\n",
	"\tthis.context.msBackingStorePixelRatio \|\|\n",
	"\tthis.context.oBackingStorePixelRatio \|\|\n",
	"\tthis.context.backingStorePixelRatio \|\| 1;\n",
	"\n",
	" mpl.ratio = (window.devicePixelRatio \|\| 1) / backingStore;\n",
	"\n",
	" var rubberband = $('<canvas/>');\n",
	" rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
	"\n",
	" var pass_mouse_events = true;\n",
	"\n",
	" canvas_div.resizable({\n",
	" start: function(event, ui) {\n",
	" pass_mouse_events = false;\n",
	" },\n",
	" resize: function(event, ui) {\n",
	" fig.request_resize(ui.size.width, ui.size.height);\n",
	" },\n",
	" stop: function(event, ui) {\n",
	" pass_mouse_events = true;\n",
	" fig.request_resize(ui.size.width, ui.size.height);\n",
	" },\n",
	" });\n",
	"\n",
	" function mouse_event_fn(event) {\n",
	" if (pass_mouse_events)\n",
	" return fig.mouse_event(event, event['data']);\n",
	" }\n",
	"\n",
	" rubberband.mousedown('button_press', mouse_event_fn);\n",
	" rubberband.mouseup('button_release', mouse_event_fn);\n",
	" // Throttle sequential mouse events to 1 every 20ms.\n",
	" rubberband.mousemove('motion_notify', mouse_event_fn);\n",
	"\n",
	" rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
	" rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
	"\n",
	" canvas_div.on(\"wheel\", function (event) {\n",
	" event = event.originalEvent;\n",
	" event['data'] = 'scroll'\n",
	" if (event.deltaY < 0) {\n",
	" event.step = 1;\n",
	" } else {\n",
	" event.step = -1;\n",
	" }\n",
	" mouse_event_fn(event);\n",
	" });\n",
	"\n",
	" canvas_div.append(canvas);\n",
	" canvas_div.append(rubberband);\n",
	"\n",
	" this.rubberband = rubberband;\n",
	" this.rubberband_canvas = rubberband[0];\n",
	" this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
	" this.rubberband_context.strokeStyle = \"#000000\";\n",
	"\n",
	" this._resize_canvas = function(width, height) {\n",
	" // Keep the size of the canvas, canvas container, and rubber band\n",
	" // canvas in synch.\n",
	" canvas_div.css('width', width)\n",
	" canvas_div.css('height', height)\n",
	"\n",
	" canvas.attr('width', width * mpl.ratio);\n",
	" canvas.attr('height', height * mpl.ratio);\n",
	" canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
	"\n",
	" rubberband.attr('width', width);\n",
	" rubberband.attr('height', height);\n",
	" }\n",
	"\n",
	" // Set the figure to an initial 600x600px, this will subsequently be updated\n",
	" // upon first draw.\n",
	" this._resize_canvas(600, 600);\n",
	"\n",
	" // Disable right mouse context menu.\n",
	" $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
	" return false;\n",
	" });\n",
	"\n",
	" function set_focus () {\n",
	" canvas.focus();\n",
	" canvas_div.focus();\n",
	" }\n",
	"\n",
	" window.setTimeout(set_focus, 100);\n",
	"}\n",
	"\n",
	"mpl.figure.prototype._init_toolbar = function() {\n",
	" var fig = this;\n",
	"\n",
	" var nav_element = $('<div/>')\n",
	" nav_element.attr('style', 'width: 100%');\n",
	" this.root.append(nav_element);\n",
	"\n",
	" // Define a callback function for later on.\n",
	" function toolbar_event(event) {\n",
	" return fig.toolbar_button_onclick(event['data']);\n",
	" }\n",
	" function toolbar_mouse_event(event) {\n",
	" return fig.toolbar_button_onmouseover(event['data']);\n",
	" }\n",
	"\n",
	" for(var toolbar_ind in mpl.toolbar_items) {\n",
	" var name = mpl.toolbar_items[toolbar_ind][0];\n",
	" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
	" var image = mpl.toolbar_items[toolbar_ind][2];\n",
	" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
	"\n",
	" if (!name) {\n",
	" // put a spacer in here.\n",
	" continue;\n",
	" }\n",
	" var button = $('<button/>');\n",
	" button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
	" 'ui-button-icon-only');\n",
	" button.attr('role', 'button');\n",
	" button.attr('aria-disabled', 'false');\n",
	" button.click(method_name, toolbar_event);\n",
	" button.mouseover(tooltip, toolbar_mouse_event);\n",
	"\n",
	" var icon_img = $('<span/>');\n",
	" icon_img.addClass('ui-button-icon-primary ui-icon');\n",
	" icon_img.addClass(image);\n",
	" icon_img.addClass('ui-corner-all');\n",
	"\n",
	" var tooltip_span = $('<span/>');\n",
	" tooltip_span.addClass('ui-button-text');\n",
	" tooltip_span.html(tooltip);\n",
	"\n",
	" button.append(icon_img);\n",
	" button.append(tooltip_span);\n",
	"\n",
	" nav_element.append(button);\n",
	" }\n",
	"\n",
	" var fmt_picker_span = $('<span/>');\n",
	"\n",
	" var fmt_picker = $('<select/>');\n",
	" fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
	" fmt_picker_span.append(fmt_picker);\n",
	" nav_element.append(fmt_picker_span);\n",
	" this.format_dropdown = fmt_picker[0];\n",
	"\n",
	" for (var ind in mpl.extensions) {\n",
	" var fmt = mpl.extensions[ind];\n",
	" var option = $(\n",
	" '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
	" fmt_picker.append(option)\n",
	" }\n",
	"\n",
	" // Add hover states to the ui-buttons\n",
	" $( \".ui-button\" ).hover(\n",
	" function() { $(this).addClass(\"ui-state-hover\");},\n",
	" function() { $(this).removeClass(\"ui-state-hover\");}\n",
	" );\n",
	"\n",
	" var status_bar = $('<span class=\"mpl-message\"/>');\n",
	" nav_element.append(status_bar);\n",
	" this.message = status_bar[0];\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
	" // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
	" // which will in turn request a refresh of the image.\n",
	" this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.send_message = function(type, properties) {\n",
	" properties['type'] = type;\n",
	" properties['figure_id'] = this.id;\n",
	" this.ws.send(JSON.stringify(properties));\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.send_draw_message = function() {\n",
	" if (!this.waiting) {\n",
	" this.waiting = true;\n",
	" this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
	" }\n",
	"}\n",
	"\n",
	"\n",
	"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
	" var format_dropdown = fig.format_dropdown;\n",
	" var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
	" fig.ondownload(fig, format);\n",
	"}\n",
	"\n",
	"\n",
	"mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
	" var size = msg['size'];\n",
	" if (size[0] != fig.canvas.width \|\| size[1] != fig.canvas.height) {\n",
	" fig._resize_canvas(size[0], size[1]);\n",
	" fig.send_message(\"refresh\", {});\n",
	" };\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
	" var x0 = msg['x0'] / mpl.ratio;\n",
	" var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
	" var x1 = msg['x1'] / mpl.ratio;\n",
	" var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
	" x0 = Math.floor(x0) + 0.5;\n",
	" y0 = Math.floor(y0) + 0.5;\n",
	" x1 = Math.floor(x1) + 0.5;\n",
	" y1 = Math.floor(y1) + 0.5;\n",
	" var min_x = Math.min(x0, x1);\n",
	" var min_y = Math.min(y0, y1);\n",
	" var width = Math.abs(x1 - x0);\n",
	" var height = Math.abs(y1 - y0);\n",
	"\n",
	" fig.rubberband_context.clearRect(\n",
	" 0, 0, fig.canvas.width, fig.canvas.height);\n",
	"\n",
	" fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
	" // Updates the figure title.\n",
	" fig.header.textContent = msg['label'];\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
	" var cursor = msg['cursor'];\n",
	" switch(cursor)\n",
	" {\n",
	" case 0:\n",
	" cursor = 'pointer';\n",
	" break;\n",
	" case 1:\n",
	" cursor = 'default';\n",
	" break;\n",
	" case 2:\n",
	" cursor = 'crosshair';\n",
	" break;\n",
	" case 3:\n",
	" cursor = 'move';\n",
	" break;\n",
	" }\n",
	" fig.rubberband_canvas.style.cursor = cursor;\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.handle_message = function(fig, msg) {\n",
	" fig.message.textContent = msg['message'];\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
	" // Request the server to send over a new figure.\n",
	" fig.send_draw_message();\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
	" fig.image_mode = msg['mode'];\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.updated_canvas_event = function() {\n",
	" // Called whenever the canvas gets updated.\n",
	" this.send_message(\"ack\", {});\n",
	"}\n",
	"\n",
	"// A function to construct a web socket function for onmessage handling.\n",
	"// Called in the figure constructor.\n",
	"mpl.figure.prototype._make_on_message_function = function(fig) {\n",
	" return function socket_on_message(evt) {\n",
	" if (evt.data instanceof Blob) {\n",
	" /* FIXME: We get \"Resource interpreted as Image but\n",
	" * transferred with MIME type text/plain:\" errors on\n",
	" * Chrome. But how to set the MIME type? It doesn't seem\n",
	" * to be part of the websocket stream */\n",
	" evt.data.type = \"image/png\";\n",
	"\n",
	" /* Free the memory for the previous frames */\n",
	" if (fig.imageObj.src) {\n",
	" (window.URL \|\| window.webkitURL).revokeObjectURL(\n",
	" fig.imageObj.src);\n",
	" }\n",
	"\n",
	" fig.imageObj.src = (window.URL \|\| window.webkitURL).createObjectURL(\n",
	" evt.data);\n",
	" fig.updated_canvas_event();\n",
	" fig.waiting = false;\n",
	" return;\n",
	" }\n",
	" else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
	" fig.imageObj.src = evt.data;\n",
	" fig.updated_canvas_event();\n",
	" fig.waiting = false;\n",
	" return;\n",
	" }\n",
	"\n",
	" var msg = JSON.parse(evt.data);\n",
	" var msg_type = msg['type'];\n",
	"\n",
	" // Call the \"handle_{type}\" callback, which takes\n",
	" // the figure and JSON message as its only arguments.\n",
	" try {\n",
	" var callback = fig[\"handle_\" + msg_type];\n",
	" } catch (e) {\n",
	" console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
	" return;\n",
	" }\n",
	"\n",
	" if (callback) {\n",
	" try {\n",
	" // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
	" callback(fig, msg);\n",
	" } catch (e) {\n",
	" console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
	" }\n",
	" }\n",
	" };\n",
	"}\n",
	"\n",
	"// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
	"mpl.findpos = function(e) {\n",
	" //this section is from http://www.quirksmode.org/js/events_properties.html\n",
	" var targ;\n",
	" if (!e)\n",
	" e = window.event;\n",
	" if (e.target)\n",
	" targ = e.target;\n",
	" else if (e.srcElement)\n",
	" targ = e.srcElement;\n",
	" if (targ.nodeType == 3) // defeat Safari bug\n",
	" targ = targ.parentNode;\n",
	"\n",
	" // jQuery normalizes the pageX and pageY\n",
	" // pageX,Y are the mouse positions relative to the document\n",
	" // offset() returns the position of the element relative to the document\n",
	" var x = e.pageX - $(targ).offset().left;\n",
	" var y = e.pageY - $(targ).offset().top;\n",
	"\n",
	" return {\"x\": x, \"y\": y};\n",
	"};\n",
	"\n",
	"/*\n",
	" * return a copy of an object with only non-object keys\n",
	" * we need this to avoid circular references\n",
	" * http://stackoverflow.com/a/24161582/3208463\n",
	" */\n",
	"function simpleKeys (original) {\n",
	" return Object.keys(original).reduce(function (obj, key) {\n",
	" if (typeof original[key] !== 'object')\n",
	" obj[key] = original[key]\n",
	" return obj;\n",
	" }, {});\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.mouse_event = function(event, name) {\n",
	" var canvas_pos = mpl.findpos(event)\n",
	"\n",
	" if (name === 'button_press')\n",
	" {\n",
	" this.canvas.focus();\n",
	" this.canvas_div.focus();\n",
	" }\n",
	"\n",
	" var x = canvas_pos.x * mpl.ratio;\n",
	" var y = canvas_pos.y * mpl.ratio;\n",
	"\n",
	" this.send_message(name, {x: x, y: y, button: event.button,\n",
	" step: event.step,\n",
	" guiEvent: simpleKeys(event)});\n",
	"\n",
	" /* This prevents the web browser from automatically changing to\n",
	" * the text insertion cursor when the button is pressed. We want\n",
	" * to control all of the cursor setting manually through the\n",
	" * 'cursor' event from matplotlib */\n",
	" event.preventDefault();\n",
	" return false;\n",
	"}\n",
	"\n",
	"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
	" // Handle any extra behaviour associated with a key event\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.key_event = function(event, name) {\n",
	"\n",
	" // Prevent repeat events\n",
	" if (name == 'key_press')\n",
	" {\n",
	" if (event.which === this._key)\n",
	" return;\n",
	" else\n",
	" this._key = event.which;\n",
	" }\n",
	" if (name == 'key_release')\n",
	" this._key = null;\n",
	"\n",
	" var value = '';\n",
	" if (event.ctrlKey && event.which != 17)\n",
	" value += \"ctrl+\";\n",
	" if (event.altKey && event.which != 18)\n",
	" value += \"alt+\";\n",
	" if (event.shiftKey && event.which != 16)\n",
	" value += \"shift+\";\n",
	"\n",
	" value += 'k';\n",
	" value += event.which.toString();\n",
	"\n",
	" this._key_event_extra(event, name);\n",
	"\n",
	" this.send_message(name, {key: value,\n",
	" guiEvent: simpleKeys(event)});\n",
	" return false;\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
	" if (name == 'download') {\n",
	" this.handle_save(this, null);\n",
	" } else {\n",
	" this.send_message(\"toolbar_button\", {name: name});\n",
	" }\n",
	"};\n",
	"\n",
	"mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
	" this.message.textContent = tooltip;\n",
	"};\n",
	"mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
	"\n",
	"mpl.extensions = [\"eps\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\n",
	"\n",
	"mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
	" // Create a \"websocket\"-like object which calls the given IPython comm\n",
	" // object with the appropriate methods. Currently this is a non binary\n",
	" // socket, so there is still some room for performance tuning.\n",
	" var ws = {};\n",
	"\n",
	" ws.close = function() {\n",
	" comm.close()\n",
	" };\n",
	" ws.send = function(m) {\n",
	" //console.log('sending', m);\n",
	" comm.send(m);\n",
	" };\n",
	" // Register the callback with on_msg.\n",
	" comm.on_msg(function(msg) {\n",
	" //console.log('receiving', msg['content']['data'], msg);\n",
	" // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
	" ws.onmessage(msg['content']['data'])\n",
	" });\n",
	" return ws;\n",
	"}\n",
	"\n",
	"mpl.mpl_figure_comm = function(comm, msg) {\n",
	" // This is the function which gets called when the mpl process\n",
	" // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
	"\n",
	" var id = msg.content.data.id;\n",
	" // Get hold of the div created by the display call when the Comm\n",
	" // socket was opened in Python.\n",
	" var element = $(\"#\" + id);\n",
	" var ws_proxy = comm_websocket_adapter(comm)\n",
	"\n",
	" function ondownload(figure, format) {\n",
	" window.open(figure.imageObj.src);\n",
	" }\n",
	"\n",
	" var fig = new mpl.figure(id, ws_proxy,\n",
	" ondownload,\n",
	" element.get(0));\n",
	"\n",
	" // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
	" // web socket which is closed, not our websocket->open comm proxy.\n",
	" ws_proxy.onopen();\n",
	"\n",
	" fig.parent_element = element.get(0);\n",
	" fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
	" if (!fig.cell_info) {\n",
	" console.error(\"Failed to find cell for figure\", id, fig);\n",
	" return;\n",
	" }\n",
	"\n",
	" var output_index = fig.cell_info[2]\n",
	" var cell = fig.cell_info[0];\n",
	"\n",
	"};\n",
	"\n",
	"mpl.figure.prototype.handle_close = function(fig, msg) {\n",
	" var width = fig.canvas.width/mpl.ratio\n",
	" fig.root.unbind('remove')\n",
	"\n",
	" // Update the output cell to use the data from the current canvas.\n",
	" fig.push_to_output();\n",
	" var dataURL = fig.canvas.toDataURL();\n",
	" // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
	" // the notebook keyboard shortcuts fail.\n",
	" IPython.keyboard_manager.enable()\n",
	" $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
	" fig.close_ws(fig, msg);\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.close_ws = function(fig, msg){\n",
	" fig.send_message('closing', msg);\n",
	" // fig.ws.close()\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
	" // Turn the data on the canvas into data in the output cell.\n",
	" var width = this.canvas.width/mpl.ratio\n",
	" var dataURL = this.canvas.toDataURL();\n",
	" this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.updated_canvas_event = function() {\n",
	" // Tell IPython that the notebook contents must change.\n",
	" IPython.notebook.set_dirty(true);\n",
	" this.send_message(\"ack\", {});\n",
	" var fig = this;\n",
	" // Wait a second, then push the new image to the DOM so\n",
	" // that it is saved nicely (might be nice to debounce this).\n",
	" setTimeout(function () { fig.push_to_output() }, 1000);\n",
	"}\n",
	"\n",
	"mpl.figure.prototype._init_toolbar = function() {\n",
	" var fig = this;\n",
	"\n",
	" var nav_element = $('<div/>')\n",
	" nav_element.attr('style', 'width: 100%');\n",
	" this.root.append(nav_element);\n",
	"\n",
	" // Define a callback function for later on.\n",
	" function toolbar_event(event) {\n",
	" return fig.toolbar_button_onclick(event['data']);\n",
	" }\n",
	" function toolbar_mouse_event(event) {\n",
	" return fig.toolbar_button_onmouseover(event['data']);\n",
	" }\n",
	"\n",
	" for(var toolbar_ind in mpl.toolbar_items){\n",
	" var name = mpl.toolbar_items[toolbar_ind][0];\n",
	" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
	" var image = mpl.toolbar_items[toolbar_ind][2];\n",
	" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
	"\n",
	" if (!name) { continue; };\n",
	"\n",
	" var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
	" button.click(method_name, toolbar_event);\n",
	" button.mouseover(tooltip, toolbar_mouse_event);\n",
	" nav_element.append(button);\n",
	" }\n",
	"\n",
	" // Add the status bar.\n",
	" var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
	" nav_element.append(status_bar);\n",
	" this.message = status_bar[0];\n",
	"\n",
	" // Add the close button to the window.\n",
	" var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
	" var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
	" button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
	" button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
	" buttongrp.append(button);\n",
	" var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
	" titlebar.prepend(buttongrp);\n",
	"}\n",
	"\n",
	"mpl.figure.prototype._root_extra_style = function(el){\n",
	" var fig = this\n",
	" el.on(\"remove\", function(){\n",
	"\tfig.close_ws(fig, {});\n",
	" });\n",
	"}\n",
	"\n",
	"mpl.figure.prototype._canvas_extra_style = function(el){\n",
	" // this is important to make the div 'focusable\n",
	" el.attr('tabindex', 0)\n",
	" // reach out to IPython and tell the keyboard manager to turn it's self\n",
	" // off when our div gets focus\n",
	"\n",
	" // location in version 3\n",
	" if (IPython.notebook.keyboard_manager) {\n",
	" IPython.notebook.keyboard_manager.register_events(el);\n",
	" }\n",
	" else {\n",
	" // location in version 2\n",
	" IPython.keyboard_manager.register_events(el);\n",
	" }\n",
	"\n",
	"}\n",
	"\n",
	"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
	" var manager = IPython.notebook.keyboard_manager;\n",
	" if (!manager)\n",
	" manager = IPython.keyboard_manager;\n",
	"\n",
	" // Check for shift+enter\n",
	" if (event.shiftKey && event.which == 13) {\n",
	" this.canvas_div.blur();\n",
	" event.shiftKey = false;\n",
	" // Send a \"J\" for go to next cell\n",
	" event.which = 74;\n",
	" event.keyCode = 74;\n",
	" manager.command_mode();\n",
	" manager.handle_keydown(event);\n",
	" }\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
	" fig.ondownload(fig, null);\n",
	"}\n",
	"\n",
	"\n",
	"mpl.find_output_cell = function(html_output) {\n",
	" // Return the cell and output element which can be found uniquely in the notebook.\n",
	" // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
	" // IPython event is triggered only after the cells have been serialised, which for\n",
	" // our purposes (turning an active figure into a static one), is too late.\n",
	" var cells = IPython.notebook.get_cells();\n",
	" var ncells = cells.length;\n",
	" for (var i=0; i<ncells; i++) {\n",
	" var cell = cells[i];\n",
	" if (cell.cell_type === 'code'){\n",
	" for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
	" var data = cell.output_area.outputs[j];\n",
	" if (data.data) {\n",
	" // IPython >= 3 moved mimebundle to data attribute of output\n",
	" data = data.data;\n",
	" }\n",
	" if (data['text/html'] == html_output) {\n",
	" return [cell, data, j];\n",
	" }\n",
	" }\n",
	" }\n",
	" }\n",
	"}\n",
	"\n",
	"// Register the function which deals with the matplotlib target/channel.\n",
	"// The kernel may be null if the page has been refreshed.\n",
	"if (IPython.notebook.kernel != null) {\n",
	" IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
	"}\n"
	],
	"text/plain": [
	"<IPython.core.display.Javascript object>"
	]
	},
	"metadata": {},
	"output_type": "display_data"
	},
	{
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\" width=\"640\">"
	],
	"text/plain": [
	"<IPython.core.display.HTML object>"
	]
	},
	"metadata": {},
	"output_type": "display_data"
	}
	],
	"source": [
	"plt.figure()\n",
	"proj_ds[('SIS_D_%d' %YEAR)].isel(time = 12).plot()\n",
	"plt.axis('equal')\n",
	"plt.show()"
	]
	},
	{
	"cell_type": "code",
	"execution_count": 40,
	"metadata": {},
	"outputs": [
	{
	"data": {
	"application/javascript": [
	"/* Put everything inside the global mpl namespace */\n",
	"window.mpl = {};\n",
	"\n",
	"\n",
	"mpl.get_websocket_type = function() {\n",
	" if (typeof(WebSocket) !== 'undefined') {\n",
	" return WebSocket;\n",
	" } else if (typeof(MozWebSocket) !== 'undefined') {\n",
	" return MozWebSocket;\n",
	" } else {\n",
	" alert('Your browser does not have WebSocket support.' +\n",
	" 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
	" 'Firefox 4 and 5 are also supported but you ' +\n",
	" 'have to enable WebSockets in about:config.');\n",
	" };\n",
	"}\n",
	"\n",
	"mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
	" this.id = figure_id;\n",
	"\n",
	" this.ws = websocket;\n",
	"\n",
	" this.supports_binary = (this.ws.binaryType != undefined);\n",
	"\n",
	" if (!this.supports_binary) {\n",
	" var warnings = document.getElementById(\"mpl-warnings\");\n",
	" if (warnings) {\n",
	" warnings.style.display = 'block';\n",
	" warnings.textContent = (\n",
	" \"This browser does not support binary websocket messages. \" +\n",
	" \"Performance may be slow.\");\n",
	" }\n",
	" }\n",
	"\n",
	" this.imageObj = new Image();\n",
	"\n",
	" this.context = undefined;\n",
	" this.message = undefined;\n",
	" this.canvas = undefined;\n",
	" this.rubberband_canvas = undefined;\n",
	" this.rubberband_context = undefined;\n",
	" this.format_dropdown = undefined;\n",
	"\n",
	" this.image_mode = 'full';\n",
	"\n",
	" this.root = $('<div/>');\n",
	" this._root_extra_style(this.root)\n",
	" this.root.attr('style', 'display: inline-block');\n",
	"\n",
	" $(parent_element).append(this.root);\n",
	"\n",
	" this._init_header(this);\n",
	" this._init_canvas(this);\n",
	" this._init_toolbar(this);\n",
	"\n",
	" var fig = this;\n",
	"\n",
	" this.waiting = false;\n",
	"\n",
	" this.ws.onopen = function () {\n",
	" fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
	" fig.send_message(\"send_image_mode\", {});\n",
	" if (mpl.ratio != 1) {\n",
	" fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
	" }\n",
	" fig.send_message(\"refresh\", {});\n",
	" }\n",
	"\n",
	" this.imageObj.onload = function() {\n",
	" if (fig.image_mode == 'full') {\n",
	" // Full images could contain transparency (where diff images\n",
	" // almost always do), so we need to clear the canvas so that\n",
	" // there is no ghosting.\n",
	" fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
	" }\n",
	" fig.context.drawImage(fig.imageObj, 0, 0);\n",
	" };\n",
	"\n",
	" this.imageObj.onunload = function() {\n",
	" fig.ws.close();\n",
	" }\n",
	"\n",
	" this.ws.onmessage = this._make_on_message_function(this);\n",
	"\n",
	" this.ondownload = ondownload;\n",
	"}\n",
	"\n",
	"mpl.figure.prototype._init_header = function() {\n",
	" var titlebar = $(\n",
	" '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
	" 'ui-helper-clearfix\"/>');\n",
	" var titletext = $(\n",
	" '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
	" 'text-align: center; padding: 3px;\"/>');\n",
	" titlebar.append(titletext)\n",
	" this.root.append(titlebar);\n",
	" this.header = titletext[0];\n",
	"}\n",
	"\n",
	"\n",
	"\n",
	"mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
	"\n",
	"}\n",
	"\n",
	"\n",
	"mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
	"\n",
	"}\n",
	"\n",
	"mpl.figure.prototype._init_canvas = function() {\n",
	" var fig = this;\n",
	"\n",
	" var canvas_div = $('<div/>');\n",
	"\n",
	" canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
	"\n",
	" function canvas_keyboard_event(event) {\n",
	" return fig.key_event(event, event['data']);\n",
	" }\n",
	"\n",
	" canvas_div.keydown('key_press', canvas_keyboard_event);\n",
	" canvas_div.keyup('key_release', canvas_keyboard_event);\n",
	" this.canvas_div = canvas_div\n",
	" this._canvas_extra_style(canvas_div)\n",
	" this.root.append(canvas_div);\n",
	"\n",
	" var canvas = $('<canvas/>');\n",
	" canvas.addClass('mpl-canvas');\n",
	" canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
	"\n",
	" this.canvas = canvas[0];\n",
	" this.context = canvas[0].getContext(\"2d\");\n",
	"\n",
	" var backingStore = this.context.backingStorePixelRatio \|\|\n",
	"\tthis.context.webkitBackingStorePixelRatio \|\|\n",
	"\tthis.context.mozBackingStorePixelRatio \|\|\n",
	"\tthis.context.msBackingStorePixelRatio \|\|\n",
	"\tthis.context.oBackingStorePixelRatio \|\|\n",
	"\tthis.context.backingStorePixelRatio \|\| 1;\n",
	"\n",
	" mpl.ratio = (window.devicePixelRatio \|\| 1) / backingStore;\n",
	"\n",
	" var rubberband = $('<canvas/>');\n",
	" rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
	"\n",
	" var pass_mouse_events = true;\n",
	"\n",
	" canvas_div.resizable({\n",
	" start: function(event, ui) {\n",
	" pass_mouse_events = false;\n",
	" },\n",
	" resize: function(event, ui) {\n",
	" fig.request_resize(ui.size.width, ui.size.height);\n",
	" },\n",
	" stop: function(event, ui) {\n",
	" pass_mouse_events = true;\n",
	" fig.request_resize(ui.size.width, ui.size.height);\n",
	" },\n",
	" });\n",
	"\n",
	" function mouse_event_fn(event) {\n",
	" if (pass_mouse_events)\n",
	" return fig.mouse_event(event, event['data']);\n",
	" }\n",
	"\n",
	" rubberband.mousedown('button_press', mouse_event_fn);\n",
	" rubberband.mouseup('button_release', mouse_event_fn);\n",
	" // Throttle sequential mouse events to 1 every 20ms.\n",
	" rubberband.mousemove('motion_notify', mouse_event_fn);\n",
	"\n",
	" rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
	" rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
	"\n",
	" canvas_div.on(\"wheel\", function (event) {\n",
	" event = event.originalEvent;\n",
	" event['data'] = 'scroll'\n",
	" if (event.deltaY < 0) {\n",
	" event.step = 1;\n",
	" } else {\n",
	" event.step = -1;\n",
	" }\n",
	" mouse_event_fn(event);\n",
	" });\n",
	"\n",
	" canvas_div.append(canvas);\n",
	" canvas_div.append(rubberband);\n",
	"\n",
	" this.rubberband = rubberband;\n",
	" this.rubberband_canvas = rubberband[0];\n",
	" this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
	" this.rubberband_context.strokeStyle = \"#000000\";\n",
	"\n",
	" this._resize_canvas = function(width, height) {\n",
	" // Keep the size of the canvas, canvas container, and rubber band\n",
	" // canvas in synch.\n",
	" canvas_div.css('width', width)\n",
	" canvas_div.css('height', height)\n",
	"\n",
	" canvas.attr('width', width * mpl.ratio);\n",
	" canvas.attr('height', height * mpl.ratio);\n",
	" canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
	"\n",
	" rubberband.attr('width', width);\n",
	" rubberband.attr('height', height);\n",
	" }\n",
	"\n",
	" // Set the figure to an initial 600x600px, this will subsequently be updated\n",
	" // upon first draw.\n",
	" this._resize_canvas(600, 600);\n",
	"\n",
	" // Disable right mouse context menu.\n",
	" $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
	" return false;\n",
	" });\n",
	"\n",
	" function set_focus () {\n",
	" canvas.focus();\n",
	" canvas_div.focus();\n",
	" }\n",
	"\n",
	" window.setTimeout(set_focus, 100);\n",
	"}\n",
	"\n",
	"mpl.figure.prototype._init_toolbar = function() {\n",
	" var fig = this;\n",
	"\n",
	" var nav_element = $('<div/>')\n",
	" nav_element.attr('style', 'width: 100%');\n",
	" this.root.append(nav_element);\n",
	"\n",
	" // Define a callback function for later on.\n",
	" function toolbar_event(event) {\n",
	" return fig.toolbar_button_onclick(event['data']);\n",
	" }\n",
	" function toolbar_mouse_event(event) {\n",
	" return fig.toolbar_button_onmouseover(event['data']);\n",
	" }\n",
	"\n",
	" for(var toolbar_ind in mpl.toolbar_items) {\n",
	" var name = mpl.toolbar_items[toolbar_ind][0];\n",
	" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
	" var image = mpl.toolbar_items[toolbar_ind][2];\n",
	" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
	"\n",
	" if (!name) {\n",
	" // put a spacer in here.\n",
	" continue;\n",
	" }\n",
	" var button = $('<button/>');\n",
	" button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
	" 'ui-button-icon-only');\n",
	" button.attr('role', 'button');\n",
	" button.attr('aria-disabled', 'false');\n",
	" button.click(method_name, toolbar_event);\n",
	" button.mouseover(tooltip, toolbar_mouse_event);\n",
	"\n",
	" var icon_img = $('<span/>');\n",
	" icon_img.addClass('ui-button-icon-primary ui-icon');\n",
	" icon_img.addClass(image);\n",
	" icon_img.addClass('ui-corner-all');\n",
	"\n",
	" var tooltip_span = $('<span/>');\n",
	" tooltip_span.addClass('ui-button-text');\n",
	" tooltip_span.html(tooltip);\n",
	"\n",
	" button.append(icon_img);\n",
	" button.append(tooltip_span);\n",
	"\n",
	" nav_element.append(button);\n",
	" }\n",
	"\n",
	" var fmt_picker_span = $('<span/>');\n",
	"\n",
	" var fmt_picker = $('<select/>');\n",
	" fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
	" fmt_picker_span.append(fmt_picker);\n",
	" nav_element.append(fmt_picker_span);\n",
	" this.format_dropdown = fmt_picker[0];\n",
	"\n",
	" for (var ind in mpl.extensions) {\n",
	" var fmt = mpl.extensions[ind];\n",
	" var option = $(\n",
	" '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
	" fmt_picker.append(option)\n",
	" }\n",
	"\n",
	" // Add hover states to the ui-buttons\n",
	" $( \".ui-button\" ).hover(\n",
	" function() { $(this).addClass(\"ui-state-hover\");},\n",
	" function() { $(this).removeClass(\"ui-state-hover\");}\n",
	" );\n",
	"\n",
	" var status_bar = $('<span class=\"mpl-message\"/>');\n",
	" nav_element.append(status_bar);\n",
	" this.message = status_bar[0];\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
	" // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
	" // which will in turn request a refresh of the image.\n",
	" this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.send_message = function(type, properties) {\n",
	" properties['type'] = type;\n",
	" properties['figure_id'] = this.id;\n",
	" this.ws.send(JSON.stringify(properties));\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.send_draw_message = function() {\n",
	" if (!this.waiting) {\n",
	" this.waiting = true;\n",
	" this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
	" }\n",
	"}\n",
	"\n",
	"\n",
	"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
	" var format_dropdown = fig.format_dropdown;\n",
	" var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
	" fig.ondownload(fig, format);\n",
	"}\n",
	"\n",
	"\n",
	"mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
	" var size = msg['size'];\n",
	" if (size[0] != fig.canvas.width \|\| size[1] != fig.canvas.height) {\n",
	" fig._resize_canvas(size[0], size[1]);\n",
	" fig.send_message(\"refresh\", {});\n",
	" };\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
	" var x0 = msg['x0'] / mpl.ratio;\n",
	" var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
	" var x1 = msg['x1'] / mpl.ratio;\n",
	" var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
	" x0 = Math.floor(x0) + 0.5;\n",
	" y0 = Math.floor(y0) + 0.5;\n",
	" x1 = Math.floor(x1) + 0.5;\n",
	" y1 = Math.floor(y1) + 0.5;\n",
	" var min_x = Math.min(x0, x1);\n",
	" var min_y = Math.min(y0, y1);\n",
	" var width = Math.abs(x1 - x0);\n",
	" var height = Math.abs(y1 - y0);\n",
	"\n",
	" fig.rubberband_context.clearRect(\n",
	" 0, 0, fig.canvas.width, fig.canvas.height);\n",
	"\n",
	" fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
	" // Updates the figure title.\n",
	" fig.header.textContent = msg['label'];\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
	" var cursor = msg['cursor'];\n",
	" switch(cursor)\n",
	" {\n",
	" case 0:\n",
	" cursor = 'pointer';\n",
	" break;\n",
	" case 1:\n",
	" cursor = 'default';\n",
	" break;\n",
	" case 2:\n",
	" cursor = 'crosshair';\n",
	" break;\n",
	" case 3:\n",
	" cursor = 'move';\n",
	" break;\n",
	" }\n",
	" fig.rubberband_canvas.style.cursor = cursor;\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.handle_message = function(fig, msg) {\n",
	" fig.message.textContent = msg['message'];\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
	" // Request the server to send over a new figure.\n",
	" fig.send_draw_message();\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
	" fig.image_mode = msg['mode'];\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.updated_canvas_event = function() {\n",
	" // Called whenever the canvas gets updated.\n",
	" this.send_message(\"ack\", {});\n",
	"}\n",
	"\n",
	"// A function to construct a web socket function for onmessage handling.\n",
	"// Called in the figure constructor.\n",
	"mpl.figure.prototype._make_on_message_function = function(fig) {\n",
	" return function socket_on_message(evt) {\n",
	" if (evt.data instanceof Blob) {\n",
	" /* FIXME: We get \"Resource interpreted as Image but\n",
	" * transferred with MIME type text/plain:\" errors on\n",
	" * Chrome. But how to set the MIME type? It doesn't seem\n",
	" * to be part of the websocket stream */\n",
	" evt.data.type = \"image/png\";\n",
	"\n",
	" /* Free the memory for the previous frames */\n",
	" if (fig.imageObj.src) {\n",
	" (window.URL \|\| window.webkitURL).revokeObjectURL(\n",
	" fig.imageObj.src);\n",
	" }\n",
	"\n",
	" fig.imageObj.src = (window.URL \|\| window.webkitURL).createObjectURL(\n",
	" evt.data);\n",
	" fig.updated_canvas_event();\n",
	" fig.waiting = false;\n",
	" return;\n",
	" }\n",
	" else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
	" fig.imageObj.src = evt.data;\n",
	" fig.updated_canvas_event();\n",
	" fig.waiting = false;\n",
	" return;\n",
	" }\n",
	"\n",
	" var msg = JSON.parse(evt.data);\n",
	" var msg_type = msg['type'];\n",
	"\n",
	" // Call the \"handle_{type}\" callback, which takes\n",
	" // the figure and JSON message as its only arguments.\n",
	" try {\n",
	" var callback = fig[\"handle_\" + msg_type];\n",
	" } catch (e) {\n",
	" console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
	" return;\n",
	" }\n",
	"\n",
	" if (callback) {\n",
	" try {\n",
	" // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
	" callback(fig, msg);\n",
	" } catch (e) {\n",
	" console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
	" }\n",
	" }\n",
	" };\n",
	"}\n",
	"\n",
	"// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
	"mpl.findpos = function(e) {\n",
	" //this section is from http://www.quirksmode.org/js/events_properties.html\n",
	" var targ;\n",
	" if (!e)\n",
	" e = window.event;\n",
	" if (e.target)\n",
	" targ = e.target;\n",
	" else if (e.srcElement)\n",
	" targ = e.srcElement;\n",
	" if (targ.nodeType == 3) // defeat Safari bug\n",
	" targ = targ.parentNode;\n",
	"\n",
	" // jQuery normalizes the pageX and pageY\n",
	" // pageX,Y are the mouse positions relative to the document\n",
	" // offset() returns the position of the element relative to the document\n",
	" var x = e.pageX - $(targ).offset().left;\n",
	" var y = e.pageY - $(targ).offset().top;\n",
	"\n",
	" return {\"x\": x, \"y\": y};\n",
	"};\n",
	"\n",
	"/*\n",
	" * return a copy of an object with only non-object keys\n",
	" * we need this to avoid circular references\n",
	" * http://stackoverflow.com/a/24161582/3208463\n",
	" */\n",
	"function simpleKeys (original) {\n",
	" return Object.keys(original).reduce(function (obj, key) {\n",
	" if (typeof original[key] !== 'object')\n",
	" obj[key] = original[key]\n",
	" return obj;\n",
	" }, {});\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.mouse_event = function(event, name) {\n",
	" var canvas_pos = mpl.findpos(event)\n",
	"\n",
	" if (name === 'button_press')\n",
	" {\n",
	" this.canvas.focus();\n",
	" this.canvas_div.focus();\n",
	" }\n",
	"\n",
	" var x = canvas_pos.x * mpl.ratio;\n",
	" var y = canvas_pos.y * mpl.ratio;\n",
	"\n",
	" this.send_message(name, {x: x, y: y, button: event.button,\n",
	" step: event.step,\n",
	" guiEvent: simpleKeys(event)});\n",
	"\n",
	" /* This prevents the web browser from automatically changing to\n",
	" * the text insertion cursor when the button is pressed. We want\n",
	" * to control all of the cursor setting manually through the\n",
	" * 'cursor' event from matplotlib */\n",
	" event.preventDefault();\n",
	" return false;\n",
	"}\n",
	"\n",
	"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
	" // Handle any extra behaviour associated with a key event\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.key_event = function(event, name) {\n",
	"\n",
	" // Prevent repeat events\n",
	" if (name == 'key_press')\n",
	" {\n",
	" if (event.which === this._key)\n",
	" return;\n",
	" else\n",
	" this._key = event.which;\n",
	" }\n",
	" if (name == 'key_release')\n",
	" this._key = null;\n",
	"\n",
	" var value = '';\n",
	" if (event.ctrlKey && event.which != 17)\n",
	" value += \"ctrl+\";\n",
	" if (event.altKey && event.which != 18)\n",
	" value += \"alt+\";\n",
	" if (event.shiftKey && event.which != 16)\n",
	" value += \"shift+\";\n",
	"\n",
	" value += 'k';\n",
	" value += event.which.toString();\n",
	"\n",
	" this._key_event_extra(event, name);\n",
	"\n",
	" this.send_message(name, {key: value,\n",
	" guiEvent: simpleKeys(event)});\n",
	" return false;\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
	" if (name == 'download') {\n",
	" this.handle_save(this, null);\n",
	" } else {\n",
	" this.send_message(\"toolbar_button\", {name: name});\n",
	" }\n",
	"};\n",
	"\n",
	"mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
	" this.message.textContent = tooltip;\n",
	"};\n",
	"mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
	"\n",
	"mpl.extensions = [\"eps\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\n",
	"\n",
	"mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
	" // Create a \"websocket\"-like object which calls the given IPython comm\n",
	" // object with the appropriate methods. Currently this is a non binary\n",
	" // socket, so there is still some room for performance tuning.\n",
	" var ws = {};\n",
	"\n",
	" ws.close = function() {\n",
	" comm.close()\n",
	" };\n",
	" ws.send = function(m) {\n",
	" //console.log('sending', m);\n",
	" comm.send(m);\n",
	" };\n",
	" // Register the callback with on_msg.\n",
	" comm.on_msg(function(msg) {\n",
	" //console.log('receiving', msg['content']['data'], msg);\n",
	" // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
	" ws.onmessage(msg['content']['data'])\n",
	" });\n",
	" return ws;\n",
	"}\n",
	"\n",
	"mpl.mpl_figure_comm = function(comm, msg) {\n",
	" // This is the function which gets called when the mpl process\n",
	" // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
	"\n",
	" var id = msg.content.data.id;\n",
	" // Get hold of the div created by the display call when the Comm\n",
	" // socket was opened in Python.\n",
	" var element = $(\"#\" + id);\n",
	" var ws_proxy = comm_websocket_adapter(comm)\n",
	"\n",
	" function ondownload(figure, format) {\n",
	" window.open(figure.imageObj.src);\n",
	" }\n",
	"\n",
	" var fig = new mpl.figure(id, ws_proxy,\n",
	" ondownload,\n",
	" element.get(0));\n",
	"\n",
	" // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
	" // web socket which is closed, not our websocket->open comm proxy.\n",
	" ws_proxy.onopen();\n",
	"\n",
	" fig.parent_element = element.get(0);\n",
	" fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
	" if (!fig.cell_info) {\n",
	" console.error(\"Failed to find cell for figure\", id, fig);\n",
	" return;\n",
	" }\n",
	"\n",
	" var output_index = fig.cell_info[2]\n",
	" var cell = fig.cell_info[0];\n",
	"\n",
	"};\n",
	"\n",
	"mpl.figure.prototype.handle_close = function(fig, msg) {\n",
	" var width = fig.canvas.width/mpl.ratio\n",
	" fig.root.unbind('remove')\n",
	"\n",
	" // Update the output cell to use the data from the current canvas.\n",
	" fig.push_to_output();\n",
	" var dataURL = fig.canvas.toDataURL();\n",
	" // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
	" // the notebook keyboard shortcuts fail.\n",
	" IPython.keyboard_manager.enable()\n",
	" $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
	" fig.close_ws(fig, msg);\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.close_ws = function(fig, msg){\n",
	" fig.send_message('closing', msg);\n",
	" // fig.ws.close()\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
	" // Turn the data on the canvas into data in the output cell.\n",
	" var width = this.canvas.width/mpl.ratio\n",
	" var dataURL = this.canvas.toDataURL();\n",
	" this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.updated_canvas_event = function() {\n",
	" // Tell IPython that the notebook contents must change.\n",
	" IPython.notebook.set_dirty(true);\n",
	" this.send_message(\"ack\", {});\n",
	" var fig = this;\n",
	" // Wait a second, then push the new image to the DOM so\n",
	" // that it is saved nicely (might be nice to debounce this).\n",
	" setTimeout(function () { fig.push_to_output() }, 1000);\n",
	"}\n",
	"\n",
	"mpl.figure.prototype._init_toolbar = function() {\n",
	" var fig = this;\n",
	"\n",
	" var nav_element = $('<div/>')\n",
	" nav_element.attr('style', 'width: 100%');\n",
	" this.root.append(nav_element);\n",
	"\n",
	" // Define a callback function for later on.\n",
	" function toolbar_event(event) {\n",
	" return fig.toolbar_button_onclick(event['data']);\n",
	" }\n",
	" function toolbar_mouse_event(event) {\n",
	" return fig.toolbar_button_onmouseover(event['data']);\n",
	" }\n",
	"\n",
	" for(var toolbar_ind in mpl.toolbar_items){\n",
	" var name = mpl.toolbar_items[toolbar_ind][0];\n",
	" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
	" var image = mpl.toolbar_items[toolbar_ind][2];\n",
	" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
	"\n",
	" if (!name) { continue; };\n",
	"\n",
	" var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
	" button.click(method_name, toolbar_event);\n",
	" button.mouseover(tooltip, toolbar_mouse_event);\n",
	" nav_element.append(button);\n",
	" }\n",
	"\n",
	" // Add the status bar.\n",
	" var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
	" nav_element.append(status_bar);\n",
	" this.message = status_bar[0];\n",
	"\n",
	" // Add the close button to the window.\n",
	" var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
	" var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
	" button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
	" button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
	" buttongrp.append(button);\n",
	" var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
	" titlebar.prepend(buttongrp);\n",
	"}\n",
	"\n",
	"mpl.figure.prototype._root_extra_style = function(el){\n",
	" var fig = this\n",
	" el.on(\"remove\", function(){\n",
	"\tfig.close_ws(fig, {});\n",
	" });\n",
	"}\n",
	"\n",
	"mpl.figure.prototype._canvas_extra_style = function(el){\n",
	" // this is important to make the div 'focusable\n",
	" el.attr('tabindex', 0)\n",
	" // reach out to IPython and tell the keyboard manager to turn it's self\n",
	" // off when our div gets focus\n",
	"\n",
	" // location in version 3\n",
	" if (IPython.notebook.keyboard_manager) {\n",
	" IPython.notebook.keyboard_manager.register_events(el);\n",
	" }\n",
	" else {\n",
	" // location in version 2\n",
	" IPython.keyboard_manager.register_events(el);\n",
	" }\n",
	"\n",
	"}\n",
	"\n",
	"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
	" var manager = IPython.notebook.keyboard_manager;\n",
	" if (!manager)\n",
	" manager = IPython.keyboard_manager;\n",
	"\n",
	" // Check for shift+enter\n",
	" if (event.shiftKey && event.which == 13) {\n",
	" this.canvas_div.blur();\n",
	" event.shiftKey = false;\n",
	" // Send a \"J\" for go to next cell\n",
	" event.which = 74;\n",
	" event.keyCode = 74;\n",
	" manager.command_mode();\n",
	" manager.handle_keydown(event);\n",
	" }\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
	" fig.ondownload(fig, null);\n",
	"}\n",
	"\n",
	"\n",
	"mpl.find_output_cell = function(html_output) {\n",
	" // Return the cell and output element which can be found uniquely in the notebook.\n",
	" // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
	" // IPython event is triggered only after the cells have been serialised, which for\n",
	" // our purposes (turning an active figure into a static one), is too late.\n",
	" var cells = IPython.notebook.get_cells();\n",
	" var ncells = cells.length;\n",
	" for (var i=0; i<ncells; i++) {\n",
	" var cell = cells[i];\n",
	" if (cell.cell_type === 'code'){\n",
	" for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
	" var data = cell.output_area.outputs[j];\n",
	" if (data.data) {\n",
	" // IPython >= 3 moved mimebundle to data attribute of output\n",
	" data = data.data;\n",
	" }\n",
	" if (data['text/html'] == html_output) {\n",
	" return [cell, data, j];\n",
	" }\n",
	" }\n",
	" }\n",
	" }\n",
	"}\n",
	"\n",
	"// Register the function which deals with the matplotlib target/channel.\n",
	"// The kernel may be null if the page has been refreshed.\n",
	"if (IPython.notebook.kernel != null) {\n",
	" IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
	"}\n"
	],
	"text/plain": [
	"<IPython.core.display.Javascript object>"
	]
	},
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	"output_type": "display_data"
	},
	{
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\" width=\"320\">"
	],
	"text/plain": [
	"<IPython.core.display.HTML object>"
	]
	},
	"metadata": {},
	"output_type": "display_data"
	}
	],
	"source": [
	"plt.figure()\n",
	"CH_mask.plot()\n",
	"plt.axis('equal')\n",
	"plt.show()"
	]
	},
	{
	"cell_type": "code",
	"execution_count": 10,
	"metadata": {},
	"outputs": [
	{
	"data": {
	"application/javascript": [
	"/* Put everything inside the global mpl namespace */\n",
	"window.mpl = {};\n",
	"\n",
	"\n",
	"mpl.get_websocket_type = function() {\n",
	" if (typeof(WebSocket) !== 'undefined') {\n",
	" return WebSocket;\n",
	" } else if (typeof(MozWebSocket) !== 'undefined') {\n",
	" return MozWebSocket;\n",
	" } else {\n",
	" alert('Your browser does not have WebSocket support.' +\n",
	" 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
	" 'Firefox 4 and 5 are also supported but you ' +\n",
	" 'have to enable WebSockets in about:config.');\n",
	" };\n",
	"}\n",
	"\n",
	"mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
	" this.id = figure_id;\n",
	"\n",
	" this.ws = websocket;\n",
	"\n",
	" this.supports_binary = (this.ws.binaryType != undefined);\n",
	"\n",
	" if (!this.supports_binary) {\n",
	" var warnings = document.getElementById(\"mpl-warnings\");\n",
	" if (warnings) {\n",
	" warnings.style.display = 'block';\n",
	" warnings.textContent = (\n",
	" \"This browser does not support binary websocket messages. \" +\n",
	" \"Performance may be slow.\");\n",
	" }\n",
	" }\n",
	"\n",
	" this.imageObj = new Image();\n",
	"\n",
	" this.context = undefined;\n",
	" this.message = undefined;\n",
	" this.canvas = undefined;\n",
	" this.rubberband_canvas = undefined;\n",
	" this.rubberband_context = undefined;\n",
	" this.format_dropdown = undefined;\n",
	"\n",
	" this.image_mode = 'full';\n",
	"\n",
	" this.root = $('<div/>');\n",
	" this._root_extra_style(this.root)\n",
	" this.root.attr('style', 'display: inline-block');\n",
	"\n",
	" $(parent_element).append(this.root);\n",
	"\n",
	" this._init_header(this);\n",
	" this._init_canvas(this);\n",
	" this._init_toolbar(this);\n",
	"\n",
	" var fig = this;\n",
	"\n",
	" this.waiting = false;\n",
	"\n",
	" this.ws.onopen = function () {\n",
	" fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
	" fig.send_message(\"send_image_mode\", {});\n",
	" if (mpl.ratio != 1) {\n",
	" fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
	" }\n",
	" fig.send_message(\"refresh\", {});\n",
	" }\n",
	"\n",
	" this.imageObj.onload = function() {\n",
	" if (fig.image_mode == 'full') {\n",
	" // Full images could contain transparency (where diff images\n",
	" // almost always do), so we need to clear the canvas so that\n",
	" // there is no ghosting.\n",
	" fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
	" }\n",
	" fig.context.drawImage(fig.imageObj, 0, 0);\n",
	" };\n",
	"\n",
	" this.imageObj.onunload = function() {\n",
	" fig.ws.close();\n",
	" }\n",
	"\n",
	" this.ws.onmessage = this._make_on_message_function(this);\n",
	"\n",
	" this.ondownload = ondownload;\n",
	"}\n",
	"\n",
	"mpl.figure.prototype._init_header = function() {\n",
	" var titlebar = $(\n",
	" '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
	" 'ui-helper-clearfix\"/>');\n",
	" var titletext = $(\n",
	" '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
	" 'text-align: center; padding: 3px;\"/>');\n",
	" titlebar.append(titletext)\n",
	" this.root.append(titlebar);\n",
	" this.header = titletext[0];\n",
	"}\n",
	"\n",
	"\n",
	"\n",
	"mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
	"\n",
	"}\n",
	"\n",
	"\n",
	"mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
	"\n",
	"}\n",
	"\n",
	"mpl.figure.prototype._init_canvas = function() {\n",
	" var fig = this;\n",
	"\n",
	" var canvas_div = $('<div/>');\n",
	"\n",
	" canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
	"\n",
	" function canvas_keyboard_event(event) {\n",
	" return fig.key_event(event, event['data']);\n",
	" }\n",
	"\n",
	" canvas_div.keydown('key_press', canvas_keyboard_event);\n",
	" canvas_div.keyup('key_release', canvas_keyboard_event);\n",
	" this.canvas_div = canvas_div\n",
	" this._canvas_extra_style(canvas_div)\n",
	" this.root.append(canvas_div);\n",
	"\n",
	" var canvas = $('<canvas/>');\n",
	" canvas.addClass('mpl-canvas');\n",
	" canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
	"\n",
	" this.canvas = canvas[0];\n",
	" this.context = canvas[0].getContext(\"2d\");\n",
	"\n",
	" var backingStore = this.context.backingStorePixelRatio \|\|\n",
	"\tthis.context.webkitBackingStorePixelRatio \|\|\n",
	"\tthis.context.mozBackingStorePixelRatio \|\|\n",
	"\tthis.context.msBackingStorePixelRatio \|\|\n",
	"\tthis.context.oBackingStorePixelRatio \|\|\n",
	"\tthis.context.backingStorePixelRatio \|\| 1;\n",
	"\n",
	" mpl.ratio = (window.devicePixelRatio \|\| 1) / backingStore;\n",
	"\n",
	" var rubberband = $('<canvas/>');\n",
	" rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
	"\n",
	" var pass_mouse_events = true;\n",
	"\n",
	" canvas_div.resizable({\n",
	" start: function(event, ui) {\n",
	" pass_mouse_events = false;\n",
	" },\n",
	" resize: function(event, ui) {\n",
	" fig.request_resize(ui.size.width, ui.size.height);\n",
	" },\n",
	" stop: function(event, ui) {\n",
	" pass_mouse_events = true;\n",
	" fig.request_resize(ui.size.width, ui.size.height);\n",
	" },\n",
	" });\n",
	"\n",
	" function mouse_event_fn(event) {\n",
	" if (pass_mouse_events)\n",
	" return fig.mouse_event(event, event['data']);\n",
	" }\n",
	"\n",
	" rubberband.mousedown('button_press', mouse_event_fn);\n",
	" rubberband.mouseup('button_release', mouse_event_fn);\n",
	" // Throttle sequential mouse events to 1 every 20ms.\n",
	" rubberband.mousemove('motion_notify', mouse_event_fn);\n",
	"\n",
	" rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
	" rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
	"\n",
	" canvas_div.on(\"wheel\", function (event) {\n",
	" event = event.originalEvent;\n",
	" event['data'] = 'scroll'\n",
	" if (event.deltaY < 0) {\n",
	" event.step = 1;\n",
	" } else {\n",
	" event.step = -1;\n",
	" }\n",
	" mouse_event_fn(event);\n",
	" });\n",
	"\n",
	" canvas_div.append(canvas);\n",
	" canvas_div.append(rubberband);\n",
	"\n",
	" this.rubberband = rubberband;\n",
	" this.rubberband_canvas = rubberband[0];\n",
	" this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
	" this.rubberband_context.strokeStyle = \"#000000\";\n",
	"\n",
	" this._resize_canvas = function(width, height) {\n",
	" // Keep the size of the canvas, canvas container, and rubber band\n",
	" // canvas in synch.\n",
	" canvas_div.css('width', width)\n",
	" canvas_div.css('height', height)\n",
	"\n",
	" canvas.attr('width', width * mpl.ratio);\n",
	" canvas.attr('height', height * mpl.ratio);\n",
	" canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
	"\n",
	" rubberband.attr('width', width);\n",
	" rubberband.attr('height', height);\n",
	" }\n",
	"\n",
	" // Set the figure to an initial 600x600px, this will subsequently be updated\n",
	" // upon first draw.\n",
	" this._resize_canvas(600, 600);\n",
	"\n",
	" // Disable right mouse context menu.\n",
	" $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
	" return false;\n",
	" });\n",
	"\n",
	" function set_focus () {\n",
	" canvas.focus();\n",
	" canvas_div.focus();\n",
	" }\n",
	"\n",
	" window.setTimeout(set_focus, 100);\n",
	"}\n",
	"\n",
	"mpl.figure.prototype._init_toolbar = function() {\n",
	" var fig = this;\n",
	"\n",
	" var nav_element = $('<div/>')\n",
	" nav_element.attr('style', 'width: 100%');\n",
	" this.root.append(nav_element);\n",
	"\n",
	" // Define a callback function for later on.\n",
	" function toolbar_event(event) {\n",
	" return fig.toolbar_button_onclick(event['data']);\n",
	" }\n",
	" function toolbar_mouse_event(event) {\n",
	" return fig.toolbar_button_onmouseover(event['data']);\n",
	" }\n",
	"\n",
	" for(var toolbar_ind in mpl.toolbar_items) {\n",
	" var name = mpl.toolbar_items[toolbar_ind][0];\n",
	" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
	" var image = mpl.toolbar_items[toolbar_ind][2];\n",
	" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
	"\n",
	" if (!name) {\n",
	" // put a spacer in here.\n",
	" continue;\n",
	" }\n",
	" var button = $('<button/>');\n",
	" button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
	" 'ui-button-icon-only');\n",
	" button.attr('role', 'button');\n",
	" button.attr('aria-disabled', 'false');\n",
	" button.click(method_name, toolbar_event);\n",
	" button.mouseover(tooltip, toolbar_mouse_event);\n",
	"\n",
	" var icon_img = $('<span/>');\n",
	" icon_img.addClass('ui-button-icon-primary ui-icon');\n",
	" icon_img.addClass(image);\n",
	" icon_img.addClass('ui-corner-all');\n",
	"\n",
	" var tooltip_span = $('<span/>');\n",
	" tooltip_span.addClass('ui-button-text');\n",
	" tooltip_span.html(tooltip);\n",
	"\n",
	" button.append(icon_img);\n",
	" button.append(tooltip_span);\n",
	"\n",
	" nav_element.append(button);\n",
	" }\n",
	"\n",
	" var fmt_picker_span = $('<span/>');\n",
	"\n",
	" var fmt_picker = $('<select/>');\n",
	" fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
	" fmt_picker_span.append(fmt_picker);\n",
	" nav_element.append(fmt_picker_span);\n",
	" this.format_dropdown = fmt_picker[0];\n",
	"\n",
	" for (var ind in mpl.extensions) {\n",
	" var fmt = mpl.extensions[ind];\n",
	" var option = $(\n",
	" '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
	" fmt_picker.append(option)\n",
	" }\n",
	"\n",
	" // Add hover states to the ui-buttons\n",
	" $( \".ui-button\" ).hover(\n",
	" function() { $(this).addClass(\"ui-state-hover\");},\n",
	" function() { $(this).removeClass(\"ui-state-hover\");}\n",
	" );\n",
	"\n",
	" var status_bar = $('<span class=\"mpl-message\"/>');\n",
	" nav_element.append(status_bar);\n",
	" this.message = status_bar[0];\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
	" // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
	" // which will in turn request a refresh of the image.\n",
	" this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.send_message = function(type, properties) {\n",
	" properties['type'] = type;\n",
	" properties['figure_id'] = this.id;\n",
	" this.ws.send(JSON.stringify(properties));\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.send_draw_message = function() {\n",
	" if (!this.waiting) {\n",
	" this.waiting = true;\n",
	" this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
	" }\n",
	"}\n",
	"\n",
	"\n",
	"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
	" var format_dropdown = fig.format_dropdown;\n",
	" var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
	" fig.ondownload(fig, format);\n",
	"}\n",
	"\n",
	"\n",
	"mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
	" var size = msg['size'];\n",
	" if (size[0] != fig.canvas.width \|\| size[1] != fig.canvas.height) {\n",
	" fig._resize_canvas(size[0], size[1]);\n",
	" fig.send_message(\"refresh\", {});\n",
	" };\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
	" var x0 = msg['x0'] / mpl.ratio;\n",
	" var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
	" var x1 = msg['x1'] / mpl.ratio;\n",
	" var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
	" x0 = Math.floor(x0) + 0.5;\n",
	" y0 = Math.floor(y0) + 0.5;\n",
	" x1 = Math.floor(x1) + 0.5;\n",
	" y1 = Math.floor(y1) + 0.5;\n",
	" var min_x = Math.min(x0, x1);\n",
	" var min_y = Math.min(y0, y1);\n",
	" var width = Math.abs(x1 - x0);\n",
	" var height = Math.abs(y1 - y0);\n",
	"\n",
	" fig.rubberband_context.clearRect(\n",
	" 0, 0, fig.canvas.width, fig.canvas.height);\n",
	"\n",
	" fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
	" // Updates the figure title.\n",
	" fig.header.textContent = msg['label'];\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
	" var cursor = msg['cursor'];\n",
	" switch(cursor)\n",
	" {\n",
	" case 0:\n",
	" cursor = 'pointer';\n",
	" break;\n",
	" case 1:\n",
	" cursor = 'default';\n",
	" break;\n",
	" case 2:\n",
	" cursor = 'crosshair';\n",
	" break;\n",
	" case 3:\n",
	" cursor = 'move';\n",
	" break;\n",
	" }\n",
	" fig.rubberband_canvas.style.cursor = cursor;\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.handle_message = function(fig, msg) {\n",
	" fig.message.textContent = msg['message'];\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
	" // Request the server to send over a new figure.\n",
	" fig.send_draw_message();\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
	" fig.image_mode = msg['mode'];\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.updated_canvas_event = function() {\n",
	" // Called whenever the canvas gets updated.\n",
	" this.send_message(\"ack\", {});\n",
	"}\n",
	"\n",
	"// A function to construct a web socket function for onmessage handling.\n",
	"// Called in the figure constructor.\n",
	"mpl.figure.prototype._make_on_message_function = function(fig) {\n",
	" return function socket_on_message(evt) {\n",
	" if (evt.data instanceof Blob) {\n",
	" /* FIXME: We get \"Resource interpreted as Image but\n",
	" * transferred with MIME type text/plain:\" errors on\n",
	" * Chrome. But how to set the MIME type? It doesn't seem\n",
	" * to be part of the websocket stream */\n",
	" evt.data.type = \"image/png\";\n",
	"\n",
	" /* Free the memory for the previous frames */\n",
	" if (fig.imageObj.src) {\n",
	" (window.URL \|\| window.webkitURL).revokeObjectURL(\n",
	" fig.imageObj.src);\n",
	" }\n",
	"\n",
	" fig.imageObj.src = (window.URL \|\| window.webkitURL).createObjectURL(\n",
	" evt.data);\n",
	" fig.updated_canvas_event();\n",
	" fig.waiting = false;\n",
	" return;\n",
	" }\n",
	" else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
	" fig.imageObj.src = evt.data;\n",
	" fig.updated_canvas_event();\n",
	" fig.waiting = false;\n",
	" return;\n",
	" }\n",
	"\n",
	" var msg = JSON.parse(evt.data);\n",
	" var msg_type = msg['type'];\n",
	"\n",
	" // Call the \"handle_{type}\" callback, which takes\n",
	" // the figure and JSON message as its only arguments.\n",
	" try {\n",
	" var callback = fig[\"handle_\" + msg_type];\n",
	" } catch (e) {\n",
	" console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
	" return;\n",
	" }\n",
	"\n",
	" if (callback) {\n",
	" try {\n",
	" // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
	" callback(fig, msg);\n",
	" } catch (e) {\n",
	" console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
	" }\n",
	" }\n",
	" };\n",
	"}\n",
	"\n",
	"// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
	"mpl.findpos = function(e) {\n",
	" //this section is from http://www.quirksmode.org/js/events_properties.html\n",
	" var targ;\n",
	" if (!e)\n",
	" e = window.event;\n",
	" if (e.target)\n",
	" targ = e.target;\n",
	" else if (e.srcElement)\n",
	" targ = e.srcElement;\n",
	" if (targ.nodeType == 3) // defeat Safari bug\n",
	" targ = targ.parentNode;\n",
	"\n",
	" // jQuery normalizes the pageX and pageY\n",
	" // pageX,Y are the mouse positions relative to the document\n",
	" // offset() returns the position of the element relative to the document\n",
	" var x = e.pageX - $(targ).offset().left;\n",
	" var y = e.pageY - $(targ).offset().top;\n",
	"\n",
	" return {\"x\": x, \"y\": y};\n",
	"};\n",
	"\n",
	"/*\n",
	" * return a copy of an object with only non-object keys\n",
	" * we need this to avoid circular references\n",
	" * http://stackoverflow.com/a/24161582/3208463\n",
	" */\n",
	"function simpleKeys (original) {\n",
	" return Object.keys(original).reduce(function (obj, key) {\n",
	" if (typeof original[key] !== 'object')\n",
	" obj[key] = original[key]\n",
	" return obj;\n",
	" }, {});\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.mouse_event = function(event, name) {\n",
	" var canvas_pos = mpl.findpos(event)\n",
	"\n",
	" if (name === 'button_press')\n",
	" {\n",
	" this.canvas.focus();\n",
	" this.canvas_div.focus();\n",
	" }\n",
	"\n",
	" var x = canvas_pos.x * mpl.ratio;\n",
	" var y = canvas_pos.y * mpl.ratio;\n",
	"\n",
	" this.send_message(name, {x: x, y: y, button: event.button,\n",
	" step: event.step,\n",
	" guiEvent: simpleKeys(event)});\n",
	"\n",
	" /* This prevents the web browser from automatically changing to\n",
	" * the text insertion cursor when the button is pressed. We want\n",
	" * to control all of the cursor setting manually through the\n",
	" * 'cursor' event from matplotlib */\n",
	" event.preventDefault();\n",
	" return false;\n",
	"}\n",
	"\n",
	"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
	" // Handle any extra behaviour associated with a key event\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.key_event = function(event, name) {\n",
	"\n",
	" // Prevent repeat events\n",
	" if (name == 'key_press')\n",
	" {\n",
	" if (event.which === this._key)\n",
	" return;\n",
	" else\n",
	" this._key = event.which;\n",
	" }\n",
	" if (name == 'key_release')\n",
	" this._key = null;\n",
	"\n",
	" var value = '';\n",
	" if (event.ctrlKey && event.which != 17)\n",
	" value += \"ctrl+\";\n",
	" if (event.altKey && event.which != 18)\n",
	" value += \"alt+\";\n",
	" if (event.shiftKey && event.which != 16)\n",
	" value += \"shift+\";\n",
	"\n",
	" value += 'k';\n",
	" value += event.which.toString();\n",
	"\n",
	" this._key_event_extra(event, name);\n",
	"\n",
	" this.send_message(name, {key: value,\n",
	" guiEvent: simpleKeys(event)});\n",
	" return false;\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
	" if (name == 'download') {\n",
	" this.handle_save(this, null);\n",
	" } else {\n",
	" this.send_message(\"toolbar_button\", {name: name});\n",
	" }\n",
	"};\n",
	"\n",
	"mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
	" this.message.textContent = tooltip;\n",
	"};\n",
	"mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
	"\n",
	"mpl.extensions = [\"eps\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\n",
	"\n",
	"mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
	" // Create a \"websocket\"-like object which calls the given IPython comm\n",
	" // object with the appropriate methods. Currently this is a non binary\n",
	" // socket, so there is still some room for performance tuning.\n",
	" var ws = {};\n",
	"\n",
	" ws.close = function() {\n",
	" comm.close()\n",
	" };\n",
	" ws.send = function(m) {\n",
	" //console.log('sending', m);\n",
	" comm.send(m);\n",
	" };\n",
	" // Register the callback with on_msg.\n",
	" comm.on_msg(function(msg) {\n",
	" //console.log('receiving', msg['content']['data'], msg);\n",
	" // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
	" ws.onmessage(msg['content']['data'])\n",
	" });\n",
	" return ws;\n",
	"}\n",
	"\n",
	"mpl.mpl_figure_comm = function(comm, msg) {\n",
	" // This is the function which gets called when the mpl process\n",
	" // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
	"\n",
	" var id = msg.content.data.id;\n",
	" // Get hold of the div created by the display call when the Comm\n",
	" // socket was opened in Python.\n",
	" var element = $(\"#\" + id);\n",
	" var ws_proxy = comm_websocket_adapter(comm)\n",
	"\n",
	" function ondownload(figure, format) {\n",
	" window.open(figure.imageObj.src);\n",
	" }\n",
	"\n",
	" var fig = new mpl.figure(id, ws_proxy,\n",
	" ondownload,\n",
	" element.get(0));\n",
	"\n",
	" // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
	" // web socket which is closed, not our websocket->open comm proxy.\n",
	" ws_proxy.onopen();\n",
	"\n",
	" fig.parent_element = element.get(0);\n",
	" fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
	" if (!fig.cell_info) {\n",
	" console.error(\"Failed to find cell for figure\", id, fig);\n",
	" return;\n",
	" }\n",
	"\n",
	" var output_index = fig.cell_info[2]\n",
	" var cell = fig.cell_info[0];\n",
	"\n",
	"};\n",
	"\n",
	"mpl.figure.prototype.handle_close = function(fig, msg) {\n",
	" var width = fig.canvas.width/mpl.ratio\n",
	" fig.root.unbind('remove')\n",
	"\n",
	" // Update the output cell to use the data from the current canvas.\n",
	" fig.push_to_output();\n",
	" var dataURL = fig.canvas.toDataURL();\n",
	" // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
	" // the notebook keyboard shortcuts fail.\n",
	" IPython.keyboard_manager.enable()\n",
	" $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
	" fig.close_ws(fig, msg);\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.close_ws = function(fig, msg){\n",
	" fig.send_message('closing', msg);\n",
	" // fig.ws.close()\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
	" // Turn the data on the canvas into data in the output cell.\n",
	" var width = this.canvas.width/mpl.ratio\n",
	" var dataURL = this.canvas.toDataURL();\n",
	" this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.updated_canvas_event = function() {\n",
	" // Tell IPython that the notebook contents must change.\n",
	" IPython.notebook.set_dirty(true);\n",
	" this.send_message(\"ack\", {});\n",
	" var fig = this;\n",
	" // Wait a second, then push the new image to the DOM so\n",
	" // that it is saved nicely (might be nice to debounce this).\n",
	" setTimeout(function () { fig.push_to_output() }, 1000);\n",
	"}\n",
	"\n",
	"mpl.figure.prototype._init_toolbar = function() {\n",
	" var fig = this;\n",
	"\n",
	" var nav_element = $('<div/>')\n",
	" nav_element.attr('style', 'width: 100%');\n",
	" this.root.append(nav_element);\n",
	"\n",
	" // Define a callback function for later on.\n",
	" function toolbar_event(event) {\n",
	" return fig.toolbar_button_onclick(event['data']);\n",
	" }\n",
	" function toolbar_mouse_event(event) {\n",
	" return fig.toolbar_button_onmouseover(event['data']);\n",
	" }\n",
	"\n",
	" for(var toolbar_ind in mpl.toolbar_items){\n",
	" var name = mpl.toolbar_items[toolbar_ind][0];\n",
	" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
	" var image = mpl.toolbar_items[toolbar_ind][2];\n",
	" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
	"\n",
	" if (!name) { continue; };\n",
	"\n",
	" var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
	" button.click(method_name, toolbar_event);\n",
	" button.mouseover(tooltip, toolbar_mouse_event);\n",
	" nav_element.append(button);\n",
	" }\n",
	"\n",
	" // Add the status bar.\n",
	" var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
	" nav_element.append(status_bar);\n",
	" this.message = status_bar[0];\n",
	"\n",
	" // Add the close button to the window.\n",
	" var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
	" var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
	" button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
	" button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
	" buttongrp.append(button);\n",
	" var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
	" titlebar.prepend(buttongrp);\n",
	"}\n",
	"\n",
	"mpl.figure.prototype._root_extra_style = function(el){\n",
	" var fig = this\n",
	" el.on(\"remove\", function(){\n",
	"\tfig.close_ws(fig, {});\n",
	" });\n",
	"}\n",
	"\n",
	"mpl.figure.prototype._canvas_extra_style = function(el){\n",
	" // this is important to make the div 'focusable\n",
	" el.attr('tabindex', 0)\n",
	" // reach out to IPython and tell the keyboard manager to turn it's self\n",
	" // off when our div gets focus\n",
	"\n",
	" // location in version 3\n",
	" if (IPython.notebook.keyboard_manager) {\n",
	" IPython.notebook.keyboard_manager.register_events(el);\n",
	" }\n",
	" else {\n",
	" // location in version 2\n",
	" IPython.keyboard_manager.register_events(el);\n",
	" }\n",
	"\n",
	"}\n",
	"\n",
	"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
	" var manager = IPython.notebook.keyboard_manager;\n",
	" if (!manager)\n",
	" manager = IPython.keyboard_manager;\n",
	"\n",
	" // Check for shift+enter\n",
	" if (event.shiftKey && event.which == 13) {\n",
	" this.canvas_div.blur();\n",
	" event.shiftKey = false;\n",
	" // Send a \"J\" for go to next cell\n",
	" event.which = 74;\n",
	" event.keyCode = 74;\n",
	" manager.command_mode();\n",
	" manager.handle_keydown(event);\n",
	" }\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
	" fig.ondownload(fig, null);\n",
	"}\n",
	"\n",
	"\n",
	"mpl.find_output_cell = function(html_output) {\n",
	" // Return the cell and output element which can be found uniquely in the notebook.\n",
	" // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
	" // IPython event is triggered only after the cells have been serialised, which for\n",
	" // our purposes (turning an active figure into a static one), is too late.\n",
	" var cells = IPython.notebook.get_cells();\n",
	" var ncells = cells.length;\n",
	" for (var i=0; i<ncells; i++) {\n",
	" var cell = cells[i];\n",
	" if (cell.cell_type === 'code'){\n",
	" for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
	" var data = cell.output_area.outputs[j];\n",
	" if (data.data) {\n",
	" // IPython >= 3 moved mimebundle to data attribute of output\n",
	" data = data.data;\n",
	" }\n",
	" if (data['text/html'] == html_output) {\n",
	" return [cell, data, j];\n",
	" }\n",
	" }\n",
	" }\n",
	" }\n",
	"}\n",
	"\n",
	"// Register the function which deals with the matplotlib target/channel.\n",
	"// The kernel may be null if the page has been refreshed.\n",
	"if (IPython.notebook.kernel != null) {\n",
	" IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
	"}\n"
	],
	"text/plain": [
	"<IPython.core.display.Javascript object>"
	]
	},
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	"output_type": "display_data"
	},
	{
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\" width=\"640\">"
	],
	"text/plain": [
	"<IPython.core.display.HTML object>"
	]
	},
	"metadata": {},
	"output_type": "display_data"
	}
	],
	"source": [
	"plt.figure()\n",
	"proj_ds.SIS_CH.isel(time = 12).plot()\n",
	"plt.axis('equal')\n",
	"plt.show()"
	]
	},
	{
	"cell_type": "code",
	"execution_count": 60,
	"metadata": {},
	"outputs": [],
	"source": [
	"# save to netcdf\n"
	]
	},
	{
	"cell_type": "markdown",
	"metadata": {},
	"source": [
	"### CHECK"
	]
	},
	{
	"cell_type": "code",
	"execution_count": 5,
	"metadata": {},
	"outputs": [
	{
	"data": {
	"text/plain": [
	"<xarray.Dataset>\n",
	"Dimensions: (lat: 103, lon: 241, time: 365)\n",
	"Coordinates:\n",
	" * time (time) datetime64[ns] 2010-01-01 ... 2010-12-31\n",
	" * lon (lon) float32 5.75 5.7708335 ... 10.729167 10.75\n",
	" * lat (lat) float32 45.75 45.770832 ... 47.854164 47.875\n",
	"Data variables:\n",
	" SIS (time, lat, lon) float64 ...\n",
	" geographic_projection \|S1 ..."
	]
	},
	"execution_count": 5,
	"metadata": {},
	"output_type": "execute_result"
	}
	],
	"source": [
	"xr.open_dataset('/Users/alinawalch/Downloads/MSG_SIS_H_2010.nc')"
	]
	},
	{
	"cell_type": "code",
	"execution_count": 6,
	"metadata": {},
	"outputs": [
	{
	"data": {
	"text/plain": [
	"<xarray.Dataset>\n",
	"Dimensions: (time: 366, x: 370, y: 240)\n",
	"Coordinates:\n",
	" * x (x) float32 474500.0 475500.0 476500.0 ... 842500.0 843500.0\n",
	" * y (y) float32 303500.0 302500.0 301500.0 ... 66500.0 65500.0 64500.0\n",
	" * time (time) datetime64[ns] 2004-01-01 2004-01-02 ... 2004-12-31\n",
	"Data variables:\n",
	" crs \|S1 ...\n",
	" SIS_CH (time, y, x) float64 ...\n",
	"Attributes:\n",
	" Conventions: CF-1.5\n",
	" history: GRASS GIS 7 netCDF export of r3.out.netcdf"
	]
	},
	"execution_count": 6,
	"metadata": {},
	"output_type": "execute_result"
	}
	],
	"source": [
	"xr.open_dataset('/Users/alinawalch/Documents/MSG_SIS_D_2004_nearest.nc')"
	]
	},
	{
	"cell_type": "markdown",
	"metadata": {},
	"source": [
	"# SPIELWIESE"
	]
	},
	{
	"cell_type": "markdown",
	"metadata": {},
	"source": [
	"## Historic satellite data (Precipitation)"
	]
	},
	{
	"cell_type": "code",
	"execution_count": 16,
	"metadata": {},
	"outputs": [],
	"source": [
	"# Read test file of daily precipitation (year 1994):\n",
	"RhiresD = '/Users/alinawalch/Downloads/RhiresD_ch01r.swisscors_199201010000_199212310000.nc'\n",
	"RhiresD = xr.open_dataset(RhiresD)"
	]
	},
	{
	"cell_type": "code",
	"execution_count": 31,
	"metadata": {},
	"outputs": [
	{
	"data": {
	"text/plain": [
	"<xarray.Dataset>\n",
	"Dimensions: (chx: 370, chy: 240, dummy: 1, time: 366)\n",
	"Coordinates:\n",
	" * dummy (dummy) float64 1.0\n",
	" * chx (chx) float64 4.745e+05 4.755e+05 ... 8.425e+05 8.435e+05\n",
	" * chy (chy) float64 6.45e+04 6.55e+04 ... 3.025e+05 3.035e+05\n",
	" * time (time) datetime64[ns] 1992-01-01 ... 1992-12-31\n",
	" lon (chy, chx) float32 ...\n",
	" lat (chy, chx) float32 ...\n",
	"Data variables:\n",
	" swiss_coordinates (dummy) float64 ...\n",
	" RhiresD (time, chy, chx) float32 ...\n",
	"Attributes:\n",
	" Conventions: CF-1.6\n",
	" institution: Federal Office of Meteorology and Climatology MeteoSwiss\n",
	" References: "
	]
	},
	"execution_count": 31,
	"metadata": {},
	"output_type": "execute_result"
	}
	],
	"source": [
	"RhiresD"
	]
	},
	{
	"cell_type": "code",
	"execution_count": 4,
	"metadata": {},
	"outputs": [
	{
	"data": {
	"text/plain": [
	"<xarray.DataArray 'swiss_coordinates' (dummy: 1)>\n",
	"array([1.])\n",
	"Coordinates:\n",
	" * dummy (dummy) float64 1.0\n",
	"Attributes:\n",
	" grid_mapping_name: Oblique Mercator (CH1903)\n",
	" longitude_of_projection_center: 7.43958333\n",
	" latitude_of_projection_center: 46.9524056\n",
	" false_easting: 600000.0\n",
	" false_northing: 200000.0\n",
	" inverse_flattening: 299.1528128\n",
	" semi_major_axis: 6377397.155"
	]
	},
	"execution_count": 4,
	"metadata": {},
	"output_type": "execute_result"
	}
	],
	"source": [
	"RhiresD.swiss_coordinates"
	]
	},
	{
	"cell_type": "code",
	"execution_count": 6,
	"metadata": {},
	"outputs": [
	{
	"data": {
	"application/javascript": [
	"/* Put everything inside the global mpl namespace */\n",
	"window.mpl = {};\n",
	"\n",
	"\n",
	"mpl.get_websocket_type = function() {\n",
	" if (typeof(WebSocket) !== 'undefined') {\n",
	" return WebSocket;\n",
	" } else if (typeof(MozWebSocket) !== 'undefined') {\n",
	" return MozWebSocket;\n",
	" } else {\n",
	" alert('Your browser does not have WebSocket support.' +\n",
	" 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
	" 'Firefox 4 and 5 are also supported but you ' +\n",
	" 'have to enable WebSockets in about:config.');\n",
	" };\n",
	"}\n",
	"\n",
	"mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
	" this.id = figure_id;\n",
	"\n",
	" this.ws = websocket;\n",
	"\n",
	" this.supports_binary = (this.ws.binaryType != undefined);\n",
	"\n",
	" if (!this.supports_binary) {\n",
	" var warnings = document.getElementById(\"mpl-warnings\");\n",
	" if (warnings) {\n",
	" warnings.style.display = 'block';\n",
	" warnings.textContent = (\n",
	" \"This browser does not support binary websocket messages. \" +\n",
	" \"Performance may be slow.\");\n",
	" }\n",
	" }\n",
	"\n",
	" this.imageObj = new Image();\n",
	"\n",
	" this.context = undefined;\n",
	" this.message = undefined;\n",
	" this.canvas = undefined;\n",
	" this.rubberband_canvas = undefined;\n",
	" this.rubberband_context = undefined;\n",
	" this.format_dropdown = undefined;\n",
	"\n",
	" this.image_mode = 'full';\n",
	"\n",
	" this.root = $('<div/>');\n",
	" this._root_extra_style(this.root)\n",
	" this.root.attr('style', 'display: inline-block');\n",
	"\n",
	" $(parent_element).append(this.root);\n",
	"\n",
	" this._init_header(this);\n",
	" this._init_canvas(this);\n",
	" this._init_toolbar(this);\n",
	"\n",
	" var fig = this;\n",
	"\n",
	" this.waiting = false;\n",
	"\n",
	" this.ws.onopen = function () {\n",
	" fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
	" fig.send_message(\"send_image_mode\", {});\n",
	" if (mpl.ratio != 1) {\n",
	" fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
	" }\n",
	" fig.send_message(\"refresh\", {});\n",
	" }\n",
	"\n",
	" this.imageObj.onload = function() {\n",
	" if (fig.image_mode == 'full') {\n",
	" // Full images could contain transparency (where diff images\n",
	" // almost always do), so we need to clear the canvas so that\n",
	" // there is no ghosting.\n",
	" fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
	" }\n",
	" fig.context.drawImage(fig.imageObj, 0, 0);\n",
	" };\n",
	"\n",
	" this.imageObj.onunload = function() {\n",
	" fig.ws.close();\n",
	" }\n",
	"\n",
	" this.ws.onmessage = this._make_on_message_function(this);\n",
	"\n",
	" this.ondownload = ondownload;\n",
	"}\n",
	"\n",
	"mpl.figure.prototype._init_header = function() {\n",
	" var titlebar = $(\n",
	" '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
	" 'ui-helper-clearfix\"/>');\n",
	" var titletext = $(\n",
	" '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
	" 'text-align: center; padding: 3px;\"/>');\n",
	" titlebar.append(titletext)\n",
	" this.root.append(titlebar);\n",
	" this.header = titletext[0];\n",
	"}\n",
	"\n",
	"\n",
	"\n",
	"mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
	"\n",
	"}\n",
	"\n",
	"\n",
	"mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
	"\n",
	"}\n",
	"\n",
	"mpl.figure.prototype._init_canvas = function() {\n",
	" var fig = this;\n",
	"\n",
	" var canvas_div = $('<div/>');\n",
	"\n",
	" canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
	"\n",
	" function canvas_keyboard_event(event) {\n",
	" return fig.key_event(event, event['data']);\n",
	" }\n",
	"\n",
	" canvas_div.keydown('key_press', canvas_keyboard_event);\n",
	" canvas_div.keyup('key_release', canvas_keyboard_event);\n",
	" this.canvas_div = canvas_div\n",
	" this._canvas_extra_style(canvas_div)\n",
	" this.root.append(canvas_div);\n",
	"\n",
	" var canvas = $('<canvas/>');\n",
	" canvas.addClass('mpl-canvas');\n",
	" canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
	"\n",
	" this.canvas = canvas[0];\n",
	" this.context = canvas[0].getContext(\"2d\");\n",
	"\n",
	" var backingStore = this.context.backingStorePixelRatio \|\|\n",
	"\tthis.context.webkitBackingStorePixelRatio \|\|\n",
	"\tthis.context.mozBackingStorePixelRatio \|\|\n",
	"\tthis.context.msBackingStorePixelRatio \|\|\n",
	"\tthis.context.oBackingStorePixelRatio \|\|\n",
	"\tthis.context.backingStorePixelRatio \|\| 1;\n",
	"\n",
	" mpl.ratio = (window.devicePixelRatio \|\| 1) / backingStore;\n",
	"\n",
	" var rubberband = $('<canvas/>');\n",
	" rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
	"\n",
	" var pass_mouse_events = true;\n",
	"\n",
	" canvas_div.resizable({\n",
	" start: function(event, ui) {\n",
	" pass_mouse_events = false;\n",
	" },\n",
	" resize: function(event, ui) {\n",
	" fig.request_resize(ui.size.width, ui.size.height);\n",
	" },\n",
	" stop: function(event, ui) {\n",
	" pass_mouse_events = true;\n",
	" fig.request_resize(ui.size.width, ui.size.height);\n",
	" },\n",
	" });\n",
	"\n",
	" function mouse_event_fn(event) {\n",
	" if (pass_mouse_events)\n",
	" return fig.mouse_event(event, event['data']);\n",
	" }\n",
	"\n",
	" rubberband.mousedown('button_press', mouse_event_fn);\n",
	" rubberband.mouseup('button_release', mouse_event_fn);\n",
	" // Throttle sequential mouse events to 1 every 20ms.\n",
	" rubberband.mousemove('motion_notify', mouse_event_fn);\n",
	"\n",
	" rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
	" rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
	"\n",
	" canvas_div.on(\"wheel\", function (event) {\n",
	" event = event.originalEvent;\n",
	" event['data'] = 'scroll'\n",
	" if (event.deltaY < 0) {\n",
	" event.step = 1;\n",
	" } else {\n",
	" event.step = -1;\n",
	" }\n",
	" mouse_event_fn(event);\n",
	" });\n",
	"\n",
	" canvas_div.append(canvas);\n",
	" canvas_div.append(rubberband);\n",
	"\n",
	" this.rubberband = rubberband;\n",
	" this.rubberband_canvas = rubberband[0];\n",
	" this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
	" this.rubberband_context.strokeStyle = \"#000000\";\n",
	"\n",
	" this._resize_canvas = function(width, height) {\n",
	" // Keep the size of the canvas, canvas container, and rubber band\n",
	" // canvas in synch.\n",
	" canvas_div.css('width', width)\n",
	" canvas_div.css('height', height)\n",
	"\n",
	" canvas.attr('width', width * mpl.ratio);\n",
	" canvas.attr('height', height * mpl.ratio);\n",
	" canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
	"\n",
	" rubberband.attr('width', width);\n",
	" rubberband.attr('height', height);\n",
	" }\n",
	"\n",
	" // Set the figure to an initial 600x600px, this will subsequently be updated\n",
	" // upon first draw.\n",
	" this._resize_canvas(600, 600);\n",
	"\n",
	" // Disable right mouse context menu.\n",
	" $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
	" return false;\n",
	" });\n",
	"\n",
	" function set_focus () {\n",
	" canvas.focus();\n",
	" canvas_div.focus();\n",
	" }\n",
	"\n",
	" window.setTimeout(set_focus, 100);\n",
	"}\n",
	"\n",
	"mpl.figure.prototype._init_toolbar = function() {\n",
	" var fig = this;\n",
	"\n",
	" var nav_element = $('<div/>')\n",
	" nav_element.attr('style', 'width: 100%');\n",
	" this.root.append(nav_element);\n",
	"\n",
	" // Define a callback function for later on.\n",
	" function toolbar_event(event) {\n",
	" return fig.toolbar_button_onclick(event['data']);\n",
	" }\n",
	" function toolbar_mouse_event(event) {\n",
	" return fig.toolbar_button_onmouseover(event['data']);\n",
	" }\n",
	"\n",
	" for(var toolbar_ind in mpl.toolbar_items) {\n",
	" var name = mpl.toolbar_items[toolbar_ind][0];\n",
	" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
	" var image = mpl.toolbar_items[toolbar_ind][2];\n",
	" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
	"\n",
	" if (!name) {\n",
	" // put a spacer in here.\n",
	" continue;\n",
	" }\n",
	" var button = $('<button/>');\n",
	" button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
	" 'ui-button-icon-only');\n",
	" button.attr('role', 'button');\n",
	" button.attr('aria-disabled', 'false');\n",
	" button.click(method_name, toolbar_event);\n",
	" button.mouseover(tooltip, toolbar_mouse_event);\n",
	"\n",
	" var icon_img = $('<span/>');\n",
	" icon_img.addClass('ui-button-icon-primary ui-icon');\n",
	" icon_img.addClass(image);\n",
	" icon_img.addClass('ui-corner-all');\n",
	"\n",
	" var tooltip_span = $('<span/>');\n",
	" tooltip_span.addClass('ui-button-text');\n",
	" tooltip_span.html(tooltip);\n",
	"\n",
	" button.append(icon_img);\n",
	" button.append(tooltip_span);\n",
	"\n",
	" nav_element.append(button);\n",
	" }\n",
	"\n",
	" var fmt_picker_span = $('<span/>');\n",
	"\n",
	" var fmt_picker = $('<select/>');\n",
	" fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
	" fmt_picker_span.append(fmt_picker);\n",
	" nav_element.append(fmt_picker_span);\n",
	" this.format_dropdown = fmt_picker[0];\n",
	"\n",
	" for (var ind in mpl.extensions) {\n",
	" var fmt = mpl.extensions[ind];\n",
	" var option = $(\n",
	" '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
	" fmt_picker.append(option)\n",
	" }\n",
	"\n",
	" // Add hover states to the ui-buttons\n",
	" $( \".ui-button\" ).hover(\n",
	" function() { $(this).addClass(\"ui-state-hover\");},\n",
	" function() { $(this).removeClass(\"ui-state-hover\");}\n",
	" );\n",
	"\n",
	" var status_bar = $('<span class=\"mpl-message\"/>');\n",
	" nav_element.append(status_bar);\n",
	" this.message = status_bar[0];\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
	" // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
	" // which will in turn request a refresh of the image.\n",
	" this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.send_message = function(type, properties) {\n",
	" properties['type'] = type;\n",
	" properties['figure_id'] = this.id;\n",
	" this.ws.send(JSON.stringify(properties));\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.send_draw_message = function() {\n",
	" if (!this.waiting) {\n",
	" this.waiting = true;\n",
	" this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
	" }\n",
	"}\n",
	"\n",
	"\n",
	"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
	" var format_dropdown = fig.format_dropdown;\n",
	" var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
	" fig.ondownload(fig, format);\n",
	"}\n",
	"\n",
	"\n",
	"mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
	" var size = msg['size'];\n",
	" if (size[0] != fig.canvas.width \|\| size[1] != fig.canvas.height) {\n",
	" fig._resize_canvas(size[0], size[1]);\n",
	" fig.send_message(\"refresh\", {});\n",
	" };\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
	" var x0 = msg['x0'] / mpl.ratio;\n",
	" var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
	" var x1 = msg['x1'] / mpl.ratio;\n",
	" var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
	" x0 = Math.floor(x0) + 0.5;\n",
	" y0 = Math.floor(y0) + 0.5;\n",
	" x1 = Math.floor(x1) + 0.5;\n",
	" y1 = Math.floor(y1) + 0.5;\n",
	" var min_x = Math.min(x0, x1);\n",
	" var min_y = Math.min(y0, y1);\n",
	" var width = Math.abs(x1 - x0);\n",
	" var height = Math.abs(y1 - y0);\n",
	"\n",
	" fig.rubberband_context.clearRect(\n",
	" 0, 0, fig.canvas.width, fig.canvas.height);\n",
	"\n",
	" fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
	" // Updates the figure title.\n",
	" fig.header.textContent = msg['label'];\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
	" var cursor = msg['cursor'];\n",
	" switch(cursor)\n",
	" {\n",
	" case 0:\n",
	" cursor = 'pointer';\n",
	" break;\n",
	" case 1:\n",
	" cursor = 'default';\n",
	" break;\n",
	" case 2:\n",
	" cursor = 'crosshair';\n",
	" break;\n",
	" case 3:\n",
	" cursor = 'move';\n",
	" break;\n",
	" }\n",
	" fig.rubberband_canvas.style.cursor = cursor;\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.handle_message = function(fig, msg) {\n",
	" fig.message.textContent = msg['message'];\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
	" // Request the server to send over a new figure.\n",
	" fig.send_draw_message();\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
	" fig.image_mode = msg['mode'];\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.updated_canvas_event = function() {\n",
	" // Called whenever the canvas gets updated.\n",
	" this.send_message(\"ack\", {});\n",
	"}\n",
	"\n",
	"// A function to construct a web socket function for onmessage handling.\n",
	"// Called in the figure constructor.\n",
	"mpl.figure.prototype._make_on_message_function = function(fig) {\n",
	" return function socket_on_message(evt) {\n",
	" if (evt.data instanceof Blob) {\n",
	" /* FIXME: We get \"Resource interpreted as Image but\n",
	" * transferred with MIME type text/plain:\" errors on\n",
	" * Chrome. But how to set the MIME type? It doesn't seem\n",
	" * to be part of the websocket stream */\n",
	" evt.data.type = \"image/png\";\n",
	"\n",
	" /* Free the memory for the previous frames */\n",
	" if (fig.imageObj.src) {\n",
	" (window.URL \|\| window.webkitURL).revokeObjectURL(\n",
	" fig.imageObj.src);\n",
	" }\n",
	"\n",
	" fig.imageObj.src = (window.URL \|\| window.webkitURL).createObjectURL(\n",
	" evt.data);\n",
	" fig.updated_canvas_event();\n",
	" fig.waiting = false;\n",
	" return;\n",
	" }\n",
	" else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
	" fig.imageObj.src = evt.data;\n",
	" fig.updated_canvas_event();\n",
	" fig.waiting = false;\n",
	" return;\n",
	" }\n",
	"\n",
	" var msg = JSON.parse(evt.data);\n",
	" var msg_type = msg['type'];\n",
	"\n",
	" // Call the \"handle_{type}\" callback, which takes\n",
	" // the figure and JSON message as its only arguments.\n",
	" try {\n",
	" var callback = fig[\"handle_\" + msg_type];\n",
	" } catch (e) {\n",
	" console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
	" return;\n",
	" }\n",
	"\n",
	" if (callback) {\n",
	" try {\n",
	" // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
	" callback(fig, msg);\n",
	" } catch (e) {\n",
	" console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
	" }\n",
	" }\n",
	" };\n",
	"}\n",
	"\n",
	"// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
	"mpl.findpos = function(e) {\n",
	" //this section is from http://www.quirksmode.org/js/events_properties.html\n",
	" var targ;\n",
	" if (!e)\n",
	" e = window.event;\n",
	" if (e.target)\n",
	" targ = e.target;\n",
	" else if (e.srcElement)\n",
	" targ = e.srcElement;\n",
	" if (targ.nodeType == 3) // defeat Safari bug\n",
	" targ = targ.parentNode;\n",
	"\n",
	" // jQuery normalizes the pageX and pageY\n",
	" // pageX,Y are the mouse positions relative to the document\n",
	" // offset() returns the position of the element relative to the document\n",
	" var x = e.pageX - $(targ).offset().left;\n",
	" var y = e.pageY - $(targ).offset().top;\n",
	"\n",
	" return {\"x\": x, \"y\": y};\n",
	"};\n",
	"\n",
	"/*\n",
	" * return a copy of an object with only non-object keys\n",
	" * we need this to avoid circular references\n",
	" * http://stackoverflow.com/a/24161582/3208463\n",
	" */\n",
	"function simpleKeys (original) {\n",
	" return Object.keys(original).reduce(function (obj, key) {\n",
	" if (typeof original[key] !== 'object')\n",
	" obj[key] = original[key]\n",
	" return obj;\n",
	" }, {});\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.mouse_event = function(event, name) {\n",
	" var canvas_pos = mpl.findpos(event)\n",
	"\n",
	" if (name === 'button_press')\n",
	" {\n",
	" this.canvas.focus();\n",
	" this.canvas_div.focus();\n",
	" }\n",
	"\n",
	" var x = canvas_pos.x * mpl.ratio;\n",
	" var y = canvas_pos.y * mpl.ratio;\n",
	"\n",
	" this.send_message(name, {x: x, y: y, button: event.button,\n",
	" step: event.step,\n",
	" guiEvent: simpleKeys(event)});\n",
	"\n",
	" /* This prevents the web browser from automatically changing to\n",
	" * the text insertion cursor when the button is pressed. We want\n",
	" * to control all of the cursor setting manually through the\n",
	" * 'cursor' event from matplotlib */\n",
	" event.preventDefault();\n",
	" return false;\n",
	"}\n",
	"\n",
	"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
	" // Handle any extra behaviour associated with a key event\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.key_event = function(event, name) {\n",
	"\n",
	" // Prevent repeat events\n",
	" if (name == 'key_press')\n",
	" {\n",
	" if (event.which === this._key)\n",
	" return;\n",
	" else\n",
	" this._key = event.which;\n",
	" }\n",
	" if (name == 'key_release')\n",
	" this._key = null;\n",
	"\n",
	" var value = '';\n",
	" if (event.ctrlKey && event.which != 17)\n",
	" value += \"ctrl+\";\n",
	" if (event.altKey && event.which != 18)\n",
	" value += \"alt+\";\n",
	" if (event.shiftKey && event.which != 16)\n",
	" value += \"shift+\";\n",
	"\n",
	" value += 'k';\n",
	" value += event.which.toString();\n",
	"\n",
	" this._key_event_extra(event, name);\n",
	"\n",
	" this.send_message(name, {key: value,\n",
	" guiEvent: simpleKeys(event)});\n",
	" return false;\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
	" if (name == 'download') {\n",
	" this.handle_save(this, null);\n",
	" } else {\n",
	" this.send_message(\"toolbar_button\", {name: name});\n",
	" }\n",
	"};\n",
	"\n",
	"mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
	" this.message.textContent = tooltip;\n",
	"};\n",
	"mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
	"\n",
	"mpl.extensions = [\"eps\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\n",
	"\n",
	"mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
	" // Create a \"websocket\"-like object which calls the given IPython comm\n",
	" // object with the appropriate methods. Currently this is a non binary\n",
	" // socket, so there is still some room for performance tuning.\n",
	" var ws = {};\n",
	"\n",
	" ws.close = function() {\n",
	" comm.close()\n",
	" };\n",
	" ws.send = function(m) {\n",
	" //console.log('sending', m);\n",
	" comm.send(m);\n",
	" };\n",
	" // Register the callback with on_msg.\n",
	" comm.on_msg(function(msg) {\n",
	" //console.log('receiving', msg['content']['data'], msg);\n",
	" // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
	" ws.onmessage(msg['content']['data'])\n",
	" });\n",
	" return ws;\n",
	"}\n",
	"\n",
	"mpl.mpl_figure_comm = function(comm, msg) {\n",
	" // This is the function which gets called when the mpl process\n",
	" // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
	"\n",
	" var id = msg.content.data.id;\n",
	" // Get hold of the div created by the display call when the Comm\n",
	" // socket was opened in Python.\n",
	" var element = $(\"#\" + id);\n",
	" var ws_proxy = comm_websocket_adapter(comm)\n",
	"\n",
	" function ondownload(figure, format) {\n",
	" window.open(figure.imageObj.src);\n",
	" }\n",
	"\n",
	" var fig = new mpl.figure(id, ws_proxy,\n",
	" ondownload,\n",
	" element.get(0));\n",
	"\n",
	" // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
	" // web socket which is closed, not our websocket->open comm proxy.\n",
	" ws_proxy.onopen();\n",
	"\n",
	" fig.parent_element = element.get(0);\n",
	" fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
	" if (!fig.cell_info) {\n",
	" console.error(\"Failed to find cell for figure\", id, fig);\n",
	" return;\n",
	" }\n",
	"\n",
	" var output_index = fig.cell_info[2]\n",
	" var cell = fig.cell_info[0];\n",
	"\n",
	"};\n",
	"\n",
	"mpl.figure.prototype.handle_close = function(fig, msg) {\n",
	" var width = fig.canvas.width/mpl.ratio\n",
	" fig.root.unbind('remove')\n",
	"\n",
	" // Update the output cell to use the data from the current canvas.\n",
	" fig.push_to_output();\n",
	" var dataURL = fig.canvas.toDataURL();\n",
	" // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
	" // the notebook keyboard shortcuts fail.\n",
	" IPython.keyboard_manager.enable()\n",
	" $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
	" fig.close_ws(fig, msg);\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.close_ws = function(fig, msg){\n",
	" fig.send_message('closing', msg);\n",
	" // fig.ws.close()\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
	" // Turn the data on the canvas into data in the output cell.\n",
	" var width = this.canvas.width/mpl.ratio\n",
	" var dataURL = this.canvas.toDataURL();\n",
	" this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.updated_canvas_event = function() {\n",
	" // Tell IPython that the notebook contents must change.\n",
	" IPython.notebook.set_dirty(true);\n",
	" this.send_message(\"ack\", {});\n",
	" var fig = this;\n",
	" // Wait a second, then push the new image to the DOM so\n",
	" // that it is saved nicely (might be nice to debounce this).\n",
	" setTimeout(function () { fig.push_to_output() }, 1000);\n",
	"}\n",
	"\n",
	"mpl.figure.prototype._init_toolbar = function() {\n",
	" var fig = this;\n",
	"\n",
	" var nav_element = $('<div/>')\n",
	" nav_element.attr('style', 'width: 100%');\n",
	" this.root.append(nav_element);\n",
	"\n",
	" // Define a callback function for later on.\n",
	" function toolbar_event(event) {\n",
	" return fig.toolbar_button_onclick(event['data']);\n",
	" }\n",
	" function toolbar_mouse_event(event) {\n",
	" return fig.toolbar_button_onmouseover(event['data']);\n",
	" }\n",
	"\n",
	" for(var toolbar_ind in mpl.toolbar_items){\n",
	" var name = mpl.toolbar_items[toolbar_ind][0];\n",
	" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
	" var image = mpl.toolbar_items[toolbar_ind][2];\n",
	" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
	"\n",
	" if (!name) { continue; };\n",
	"\n",
	" var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
	" button.click(method_name, toolbar_event);\n",
	" button.mouseover(tooltip, toolbar_mouse_event);\n",
	" nav_element.append(button);\n",
	" }\n",
	"\n",
	" // Add the status bar.\n",
	" var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
	" nav_element.append(status_bar);\n",
	" this.message = status_bar[0];\n",
	"\n",
	" // Add the close button to the window.\n",
	" var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
	" var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
	" button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
	" button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
	" buttongrp.append(button);\n",
	" var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
	" titlebar.prepend(buttongrp);\n",
	"}\n",
	"\n",
	"mpl.figure.prototype._root_extra_style = function(el){\n",
	" var fig = this\n",
	" el.on(\"remove\", function(){\n",
	"\tfig.close_ws(fig, {});\n",
	" });\n",
	"}\n",
	"\n",
	"mpl.figure.prototype._canvas_extra_style = function(el){\n",
	" // this is important to make the div 'focusable\n",
	" el.attr('tabindex', 0)\n",
	" // reach out to IPython and tell the keyboard manager to turn it's self\n",
	" // off when our div gets focus\n",
	"\n",
	" // location in version 3\n",
	" if (IPython.notebook.keyboard_manager) {\n",
	" IPython.notebook.keyboard_manager.register_events(el);\n",
	" }\n",
	" else {\n",
	" // location in version 2\n",
	" IPython.keyboard_manager.register_events(el);\n",
	" }\n",
	"\n",
	"}\n",
	"\n",
	"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
	" var manager = IPython.notebook.keyboard_manager;\n",
	" if (!manager)\n",
	" manager = IPython.keyboard_manager;\n",
	"\n",
	" // Check for shift+enter\n",
	" if (event.shiftKey && event.which == 13) {\n",
	" this.canvas_div.blur();\n",
	" event.shiftKey = false;\n",
	" // Send a \"J\" for go to next cell\n",
	" event.which = 74;\n",
	" event.keyCode = 74;\n",
	" manager.command_mode();\n",
	" manager.handle_keydown(event);\n",
	" }\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
	" fig.ondownload(fig, null);\n",
	"}\n",
	"\n",
	"\n",
	"mpl.find_output_cell = function(html_output) {\n",
	" // Return the cell and output element which can be found uniquely in the notebook.\n",
	" // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
	" // IPython event is triggered only after the cells have been serialised, which for\n",
	" // our purposes (turning an active figure into a static one), is too late.\n",
	" var cells = IPython.notebook.get_cells();\n",
	" var ncells = cells.length;\n",
	" for (var i=0; i<ncells; i++) {\n",
	" var cell = cells[i];\n",
	" if (cell.cell_type === 'code'){\n",
	" for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
	" var data = cell.output_area.outputs[j];\n",
	" if (data.data) {\n",
	" // IPython >= 3 moved mimebundle to data attribute of output\n",
	" data = data.data;\n",
	" }\n",
	" if (data['text/html'] == html_output) {\n",
	" return [cell, data, j];\n",
	" }\n",
	" }\n",
	" }\n",
	" }\n",
	"}\n",
	"\n",
	"// Register the function which deals with the matplotlib target/channel.\n",
	"// The kernel may be null if the page has been refreshed.\n",
	"if (IPython.notebook.kernel != null) {\n",
	" IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
	"}\n"
	],
	"text/plain": [
	"<IPython.core.display.Javascript object>"
	]
	},
	"metadata": {},
	"output_type": "display_data"
	},
	{
	"data": {
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\" width=\"640\">"
	],
	"text/plain": [
	"<IPython.core.display.HTML object>"
	]
	},
	"metadata": {},
	"output_type": "display_data"
	},
	{
	"data": {
	"text/plain": [
	"(474000.0, 844000.0, 64000.0, 304000.0)"
	]
	},
	"execution_count": 6,
	"metadata": {},
	"output_type": "execute_result"
	}
	],
	"source": [
	"d = 150\n",
	"\n",
	"plt.figure()\n",
	"RhiresD.isel(time = d).RhiresD.plot()\n",
	"plt.axis('equal')"
	]
	},
	{
	"cell_type": "markdown",
	"metadata": {},
	"source": [
	"#### Conclusion:\n",
	"- 1x1km grid over Switzerland\n",
	"- Daily resolution"
	]
	},
	{
	"cell_type": "markdown",
	"metadata": {},
	"source": [
	"## Historic satellite data (radiation)"
	]
	},
	{
	"cell_type": "code",
	"execution_count": 17,
	"metadata": {},
	"outputs": [],
	"source": [
	"SIS_H_file = '/Users/alinawalch/Downloads/msg.SIS.H_ch02.lonlat_20151230000000.nc'\n",
	"SIS_H = xr.open_dataset(SIS_H_file)"
	]
	},
	{
	"cell_type": "code",
	"execution_count": 22,
	"metadata": {},
	"outputs": [
	{
	"data": {
	"text/plain": [
	"<xarray.Dataset>\n",
	"Dimensions: (lat: 103, lon: 241, time: 24)\n",
	"Coordinates:\n",
	" * lon (lon) float32 5.75 5.7708335 ... 10.729167 10.75\n",
	" * lat (lat) float32 45.75 45.770832 ... 47.854164 47.875\n",
	" * time (time) datetime64[ns] 2015-12-30 ... 2015-12-30T23:00:00\n",
	"Data variables:\n",
	" geographic_projection \|S1 ...\n",
	" SIS (time, lat, lon) float32 ...\n",
	"Attributes:\n",
	" Title: The HelioMont Surface Solar Radiation Process...\n",
	" Summary: Composited surface states, cloud properties a...\n",
	" Institution: Federal Office of Meteorology and Climatology...\n",
	" References: Reto Stockli (2013). The HelioMont Surface So...\n",
	" Conventions: CF-1.5\n",
	" Metadata_Conventions: Unidata Dataset Discovery v1.0\n",
	" Digital_Object_Identifier: not assigned\n",
	" Creator_Name: Reto Stockli\n",
	" Creator_Email: reto.stoeckli@meteoswiss.ch\n",
	" Creator_Url: http://www.meteoswiss.ch"
	]
	},
	"execution_count": 22,
	"metadata": {},
	"output_type": "execute_result"
	}
	],
	"source": [
	"SIS_H"
	]
	},
	{
	"cell_type": "code",
	"execution_count": 12,
	"metadata": {},
	"outputs": [
	{
	"data": {
	"text/plain": [
	"<xarray.DataArray 'geographic_projection' ()>\n",
	"array(b'', dtype='\|S1')\n",
	"Attributes:\n",
	" grid_mapping_name: latitude_longitude\n",
	" datum: wgs84\n",
	" semi_major_axis: 6378137.0\n",
	" semi_minor_axis: 6356752.3\n",
	" spatial_ref: GEOGCS[\"WGS 84\",DATUM[\"WGS_1984\",SPHEROID[\"WGS 84\",63...\n",
	" version: 2.3.3 \n",
	" prod_date: 2015-12-31 03:04:53"
	]
	},
	"execution_count": 12,
	"metadata": {},
	"output_type": "execute_result"
	}
	],
	"source": [
	"SIS_H.geographic_projection"
	]
	},
	{
	"cell_type": "code",
	"execution_count": 13,
	"metadata": {},
	"outputs": [],
	"source": [
	"SIS_H_proj = '/Users/alinawalch/Downloads/SIS_20151230_3d.nc'"
	]
	},
	{
	"cell_type": "code",
	"execution_count": 14,
	"metadata": {
	"scrolled": false
	},
	"outputs": [],
	"source": [
	"SIS_H_proj_ds = xr.open_dataset(SIS_H_proj)"
	]
	},
	{
	"cell_type": "code",
	"execution_count": 30,
	"metadata": {
	"scrolled": false
	},
	"outputs": [
	{
	"data": {
	"application/javascript": [
	"/* Put everything inside the global mpl namespace */\n",
	"window.mpl = {};\n",
	"\n",
	"\n",
	"mpl.get_websocket_type = function() {\n",
	" if (typeof(WebSocket) !== 'undefined') {\n",
	" return WebSocket;\n",
	" } else if (typeof(MozWebSocket) !== 'undefined') {\n",
	" return MozWebSocket;\n",
	" } else {\n",
	" alert('Your browser does not have WebSocket support.' +\n",
	" 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
	" 'Firefox 4 and 5 are also supported but you ' +\n",
	" 'have to enable WebSockets in about:config.');\n",
	" };\n",
	"}\n",
	"\n",
	"mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
	" this.id = figure_id;\n",
	"\n",
	" this.ws = websocket;\n",
	"\n",
	" this.supports_binary = (this.ws.binaryType != undefined);\n",
	"\n",
	" if (!this.supports_binary) {\n",
	" var warnings = document.getElementById(\"mpl-warnings\");\n",
	" if (warnings) {\n",
	" warnings.style.display = 'block';\n",
	" warnings.textContent = (\n",
	" \"This browser does not support binary websocket messages. \" +\n",
	" \"Performance may be slow.\");\n",
	" }\n",
	" }\n",
	"\n",
	" this.imageObj = new Image();\n",
	"\n",
	" this.context = undefined;\n",
	" this.message = undefined;\n",
	" this.canvas = undefined;\n",
	" this.rubberband_canvas = undefined;\n",
	" this.rubberband_context = undefined;\n",
	" this.format_dropdown = undefined;\n",
	"\n",
	" this.image_mode = 'full';\n",
	"\n",
	" this.root = $('<div/>');\n",
	" this._root_extra_style(this.root)\n",
	" this.root.attr('style', 'display: inline-block');\n",
	"\n",
	" $(parent_element).append(this.root);\n",
	"\n",
	" this._init_header(this);\n",
	" this._init_canvas(this);\n",
	" this._init_toolbar(this);\n",
	"\n",
	" var fig = this;\n",
	"\n",
	" this.waiting = false;\n",
	"\n",
	" this.ws.onopen = function () {\n",
	" fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
	" fig.send_message(\"send_image_mode\", {});\n",
	" if (mpl.ratio != 1) {\n",
	" fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
	" }\n",
	" fig.send_message(\"refresh\", {});\n",
	" }\n",
	"\n",
	" this.imageObj.onload = function() {\n",
	" if (fig.image_mode == 'full') {\n",
	" // Full images could contain transparency (where diff images\n",
	" // almost always do), so we need to clear the canvas so that\n",
	" // there is no ghosting.\n",
	" fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
	" }\n",
	" fig.context.drawImage(fig.imageObj, 0, 0);\n",
	" };\n",
	"\n",
	" this.imageObj.onunload = function() {\n",
	" fig.ws.close();\n",
	" }\n",
	"\n",
	" this.ws.onmessage = this._make_on_message_function(this);\n",
	"\n",
	" this.ondownload = ondownload;\n",
	"}\n",
	"\n",
	"mpl.figure.prototype._init_header = function() {\n",
	" var titlebar = $(\n",
	" '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
	" 'ui-helper-clearfix\"/>');\n",
	" var titletext = $(\n",
	" '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
	" 'text-align: center; padding: 3px;\"/>');\n",
	" titlebar.append(titletext)\n",
	" this.root.append(titlebar);\n",
	" this.header = titletext[0];\n",
	"}\n",
	"\n",
	"\n",
	"\n",
	"mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
	"\n",
	"}\n",
	"\n",
	"\n",
	"mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
	"\n",
	"}\n",
	"\n",
	"mpl.figure.prototype._init_canvas = function() {\n",
	" var fig = this;\n",
	"\n",
	" var canvas_div = $('<div/>');\n",
	"\n",
	" canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
	"\n",
	" function canvas_keyboard_event(event) {\n",
	" return fig.key_event(event, event['data']);\n",
	" }\n",
	"\n",
	" canvas_div.keydown('key_press', canvas_keyboard_event);\n",
	" canvas_div.keyup('key_release', canvas_keyboard_event);\n",
	" this.canvas_div = canvas_div\n",
	" this._canvas_extra_style(canvas_div)\n",
	" this.root.append(canvas_div);\n",
	"\n",
	" var canvas = $('<canvas/>');\n",
	" canvas.addClass('mpl-canvas');\n",
	" canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
	"\n",
	" this.canvas = canvas[0];\n",
	" this.context = canvas[0].getContext(\"2d\");\n",
	"\n",
	" var backingStore = this.context.backingStorePixelRatio \|\|\n",
	"\tthis.context.webkitBackingStorePixelRatio \|\|\n",
	"\tthis.context.mozBackingStorePixelRatio \|\|\n",
	"\tthis.context.msBackingStorePixelRatio \|\|\n",
	"\tthis.context.oBackingStorePixelRatio \|\|\n",
	"\tthis.context.backingStorePixelRatio \|\| 1;\n",
	"\n",
	" mpl.ratio = (window.devicePixelRatio \|\| 1) / backingStore;\n",
	"\n",
	" var rubberband = $('<canvas/>');\n",
	" rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
	"\n",
	" var pass_mouse_events = true;\n",
	"\n",
	" canvas_div.resizable({\n",
	" start: function(event, ui) {\n",
	" pass_mouse_events = false;\n",
	" },\n",
	" resize: function(event, ui) {\n",
	" fig.request_resize(ui.size.width, ui.size.height);\n",
	" },\n",
	" stop: function(event, ui) {\n",
	" pass_mouse_events = true;\n",
	" fig.request_resize(ui.size.width, ui.size.height);\n",
	" },\n",
	" });\n",
	"\n",
	" function mouse_event_fn(event) {\n",
	" if (pass_mouse_events)\n",
	" return fig.mouse_event(event, event['data']);\n",
	" }\n",
	"\n",
	" rubberband.mousedown('button_press', mouse_event_fn);\n",
	" rubberband.mouseup('button_release', mouse_event_fn);\n",
	" // Throttle sequential mouse events to 1 every 20ms.\n",
	" rubberband.mousemove('motion_notify', mouse_event_fn);\n",
	"\n",
	" rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
	" rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
	"\n",
	" canvas_div.on(\"wheel\", function (event) {\n",
	" event = event.originalEvent;\n",
	" event['data'] = 'scroll'\n",
	" if (event.deltaY < 0) {\n",
	" event.step = 1;\n",
	" } else {\n",
	" event.step = -1;\n",
	" }\n",
	" mouse_event_fn(event);\n",
	" });\n",
	"\n",
	" canvas_div.append(canvas);\n",
	" canvas_div.append(rubberband);\n",
	"\n",
	" this.rubberband = rubberband;\n",
	" this.rubberband_canvas = rubberband[0];\n",
	" this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
	" this.rubberband_context.strokeStyle = \"#000000\";\n",
	"\n",
	" this._resize_canvas = function(width, height) {\n",
	" // Keep the size of the canvas, canvas container, and rubber band\n",
	" // canvas in synch.\n",
	" canvas_div.css('width', width)\n",
	" canvas_div.css('height', height)\n",
	"\n",
	" canvas.attr('width', width * mpl.ratio);\n",
	" canvas.attr('height', height * mpl.ratio);\n",
	" canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
	"\n",
	" rubberband.attr('width', width);\n",
	" rubberband.attr('height', height);\n",
	" }\n",
	"\n",
	" // Set the figure to an initial 600x600px, this will subsequently be updated\n",
	" // upon first draw.\n",
	" this._resize_canvas(600, 600);\n",
	"\n",
	" // Disable right mouse context menu.\n",
	" $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
	" return false;\n",
	" });\n",
	"\n",
	" function set_focus () {\n",
	" canvas.focus();\n",
	" canvas_div.focus();\n",
	" }\n",
	"\n",
	" window.setTimeout(set_focus, 100);\n",
	"}\n",
	"\n",
	"mpl.figure.prototype._init_toolbar = function() {\n",
	" var fig = this;\n",
	"\n",
	" var nav_element = $('<div/>')\n",
	" nav_element.attr('style', 'width: 100%');\n",
	" this.root.append(nav_element);\n",
	"\n",
	" // Define a callback function for later on.\n",
	" function toolbar_event(event) {\n",
	" return fig.toolbar_button_onclick(event['data']);\n",
	" }\n",
	" function toolbar_mouse_event(event) {\n",
	" return fig.toolbar_button_onmouseover(event['data']);\n",
	" }\n",
	"\n",
	" for(var toolbar_ind in mpl.toolbar_items) {\n",
	" var name = mpl.toolbar_items[toolbar_ind][0];\n",
	" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
	" var image = mpl.toolbar_items[toolbar_ind][2];\n",
	" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
	"\n",
	" if (!name) {\n",
	" // put a spacer in here.\n",
	" continue;\n",
	" }\n",
	" var button = $('<button/>');\n",
	" button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
	" 'ui-button-icon-only');\n",
	" button.attr('role', 'button');\n",
	" button.attr('aria-disabled', 'false');\n",
	" button.click(method_name, toolbar_event);\n",
	" button.mouseover(tooltip, toolbar_mouse_event);\n",
	"\n",
	" var icon_img = $('<span/>');\n",
	" icon_img.addClass('ui-button-icon-primary ui-icon');\n",
	" icon_img.addClass(image);\n",
	" icon_img.addClass('ui-corner-all');\n",
	"\n",
	" var tooltip_span = $('<span/>');\n",
	" tooltip_span.addClass('ui-button-text');\n",
	" tooltip_span.html(tooltip);\n",
	"\n",
	" button.append(icon_img);\n",
	" button.append(tooltip_span);\n",
	"\n",
	" nav_element.append(button);\n",
	" }\n",
	"\n",
	" var fmt_picker_span = $('<span/>');\n",
	"\n",
	" var fmt_picker = $('<select/>');\n",
	" fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
	" fmt_picker_span.append(fmt_picker);\n",
	" nav_element.append(fmt_picker_span);\n",
	" this.format_dropdown = fmt_picker[0];\n",
	"\n",
	" for (var ind in mpl.extensions) {\n",
	" var fmt = mpl.extensions[ind];\n",
	" var option = $(\n",
	" '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
	" fmt_picker.append(option)\n",
	" }\n",
	"\n",
	" // Add hover states to the ui-buttons\n",
	" $( \".ui-button\" ).hover(\n",
	" function() { $(this).addClass(\"ui-state-hover\");},\n",
	" function() { $(this).removeClass(\"ui-state-hover\");}\n",
	" );\n",
	"\n",
	" var status_bar = $('<span class=\"mpl-message\"/>');\n",
	" nav_element.append(status_bar);\n",
	" this.message = status_bar[0];\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
	" // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
	" // which will in turn request a refresh of the image.\n",
	" this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.send_message = function(type, properties) {\n",
	" properties['type'] = type;\n",
	" properties['figure_id'] = this.id;\n",
	" this.ws.send(JSON.stringify(properties));\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.send_draw_message = function() {\n",
	" if (!this.waiting) {\n",
	" this.waiting = true;\n",
	" this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
	" }\n",
	"}\n",
	"\n",
	"\n",
	"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
	" var format_dropdown = fig.format_dropdown;\n",
	" var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
	" fig.ondownload(fig, format);\n",
	"}\n",
	"\n",
	"\n",
	"mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
	" var size = msg['size'];\n",
	" if (size[0] != fig.canvas.width \|\| size[1] != fig.canvas.height) {\n",
	" fig._resize_canvas(size[0], size[1]);\n",
	" fig.send_message(\"refresh\", {});\n",
	" };\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
	" var x0 = msg['x0'] / mpl.ratio;\n",
	" var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
	" var x1 = msg['x1'] / mpl.ratio;\n",
	" var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
	" x0 = Math.floor(x0) + 0.5;\n",
	" y0 = Math.floor(y0) + 0.5;\n",
	" x1 = Math.floor(x1) + 0.5;\n",
	" y1 = Math.floor(y1) + 0.5;\n",
	" var min_x = Math.min(x0, x1);\n",
	" var min_y = Math.min(y0, y1);\n",
	" var width = Math.abs(x1 - x0);\n",
	" var height = Math.abs(y1 - y0);\n",
	"\n",
	" fig.rubberband_context.clearRect(\n",
	" 0, 0, fig.canvas.width, fig.canvas.height);\n",
	"\n",
	" fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
	" // Updates the figure title.\n",
	" fig.header.textContent = msg['label'];\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
	" var cursor = msg['cursor'];\n",
	" switch(cursor)\n",
	" {\n",
	" case 0:\n",
	" cursor = 'pointer';\n",
	" break;\n",
	" case 1:\n",
	" cursor = 'default';\n",
	" break;\n",
	" case 2:\n",
	" cursor = 'crosshair';\n",
	" break;\n",
	" case 3:\n",
	" cursor = 'move';\n",
	" break;\n",
	" }\n",
	" fig.rubberband_canvas.style.cursor = cursor;\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.handle_message = function(fig, msg) {\n",
	" fig.message.textContent = msg['message'];\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
	" // Request the server to send over a new figure.\n",
	" fig.send_draw_message();\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
	" fig.image_mode = msg['mode'];\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.updated_canvas_event = function() {\n",
	" // Called whenever the canvas gets updated.\n",
	" this.send_message(\"ack\", {});\n",
	"}\n",
	"\n",
	"// A function to construct a web socket function for onmessage handling.\n",
	"// Called in the figure constructor.\n",
	"mpl.figure.prototype._make_on_message_function = function(fig) {\n",
	" return function socket_on_message(evt) {\n",
	" if (evt.data instanceof Blob) {\n",
	" /* FIXME: We get \"Resource interpreted as Image but\n",
	" * transferred with MIME type text/plain:\" errors on\n",
	" * Chrome. But how to set the MIME type? It doesn't seem\n",
	" * to be part of the websocket stream */\n",
	" evt.data.type = \"image/png\";\n",
	"\n",
	" /* Free the memory for the previous frames */\n",
	" if (fig.imageObj.src) {\n",
	" (window.URL \|\| window.webkitURL).revokeObjectURL(\n",
	" fig.imageObj.src);\n",
	" }\n",
	"\n",
	" fig.imageObj.src = (window.URL \|\| window.webkitURL).createObjectURL(\n",
	" evt.data);\n",
	" fig.updated_canvas_event();\n",
	" fig.waiting = false;\n",
	" return;\n",
	" }\n",
	" else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
	" fig.imageObj.src = evt.data;\n",
	" fig.updated_canvas_event();\n",
	" fig.waiting = false;\n",
	" return;\n",
	" }\n",
	"\n",
	" var msg = JSON.parse(evt.data);\n",
	" var msg_type = msg['type'];\n",
	"\n",
	" // Call the \"handle_{type}\" callback, which takes\n",
	" // the figure and JSON message as its only arguments.\n",
	" try {\n",
	" var callback = fig[\"handle_\" + msg_type];\n",
	" } catch (e) {\n",
	" console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
	" return;\n",
	" }\n",
	"\n",
	" if (callback) {\n",
	" try {\n",
	" // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
	" callback(fig, msg);\n",
	" } catch (e) {\n",
	" console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
	" }\n",
	" }\n",
	" };\n",
	"}\n",
	"\n",
	"// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
	"mpl.findpos = function(e) {\n",
	" //this section is from http://www.quirksmode.org/js/events_properties.html\n",
	" var targ;\n",
	" if (!e)\n",
	" e = window.event;\n",
	" if (e.target)\n",
	" targ = e.target;\n",
	" else if (e.srcElement)\n",
	" targ = e.srcElement;\n",
	" if (targ.nodeType == 3) // defeat Safari bug\n",
	" targ = targ.parentNode;\n",
	"\n",
	" // jQuery normalizes the pageX and pageY\n",
	" // pageX,Y are the mouse positions relative to the document\n",
	" // offset() returns the position of the element relative to the document\n",
	" var x = e.pageX - $(targ).offset().left;\n",
	" var y = e.pageY - $(targ).offset().top;\n",
	"\n",
	" return {\"x\": x, \"y\": y};\n",
	"};\n",
	"\n",
	"/*\n",
	" * return a copy of an object with only non-object keys\n",
	" * we need this to avoid circular references\n",
	" * http://stackoverflow.com/a/24161582/3208463\n",
	" */\n",
	"function simpleKeys (original) {\n",
	" return Object.keys(original).reduce(function (obj, key) {\n",
	" if (typeof original[key] !== 'object')\n",
	" obj[key] = original[key]\n",
	" return obj;\n",
	" }, {});\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.mouse_event = function(event, name) {\n",
	" var canvas_pos = mpl.findpos(event)\n",
	"\n",
	" if (name === 'button_press')\n",
	" {\n",
	" this.canvas.focus();\n",
	" this.canvas_div.focus();\n",
	" }\n",
	"\n",
	" var x = canvas_pos.x * mpl.ratio;\n",
	" var y = canvas_pos.y * mpl.ratio;\n",
	"\n",
	" this.send_message(name, {x: x, y: y, button: event.button,\n",
	" step: event.step,\n",
	" guiEvent: simpleKeys(event)});\n",
	"\n",
	" /* This prevents the web browser from automatically changing to\n",
	" * the text insertion cursor when the button is pressed. We want\n",
	" * to control all of the cursor setting manually through the\n",
	" * 'cursor' event from matplotlib */\n",
	" event.preventDefault();\n",
	" return false;\n",
	"}\n",
	"\n",
	"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
	" // Handle any extra behaviour associated with a key event\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.key_event = function(event, name) {\n",
	"\n",
	" // Prevent repeat events\n",
	" if (name == 'key_press')\n",
	" {\n",
	" if (event.which === this._key)\n",
	" return;\n",
	" else\n",
	" this._key = event.which;\n",
	" }\n",
	" if (name == 'key_release')\n",
	" this._key = null;\n",
	"\n",
	" var value = '';\n",
	" if (event.ctrlKey && event.which != 17)\n",
	" value += \"ctrl+\";\n",
	" if (event.altKey && event.which != 18)\n",
	" value += \"alt+\";\n",
	" if (event.shiftKey && event.which != 16)\n",
	" value += \"shift+\";\n",
	"\n",
	" value += 'k';\n",
	" value += event.which.toString();\n",
	"\n",
	" this._key_event_extra(event, name);\n",
	"\n",
	" this.send_message(name, {key: value,\n",
	" guiEvent: simpleKeys(event)});\n",
	" return false;\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
	" if (name == 'download') {\n",
	" this.handle_save(this, null);\n",
	" } else {\n",
	" this.send_message(\"toolbar_button\", {name: name});\n",
	" }\n",
	"};\n",
	"\n",
	"mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
	" this.message.textContent = tooltip;\n",
	"};\n",
	"mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
	"\n",
	"mpl.extensions = [\"eps\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\n",
	"\n",
	"mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
	" // Create a \"websocket\"-like object which calls the given IPython comm\n",
	" // object with the appropriate methods. Currently this is a non binary\n",
	" // socket, so there is still some room for performance tuning.\n",
	" var ws = {};\n",
	"\n",
	" ws.close = function() {\n",
	" comm.close()\n",
	" };\n",
	" ws.send = function(m) {\n",
	" //console.log('sending', m);\n",
	" comm.send(m);\n",
	" };\n",
	" // Register the callback with on_msg.\n",
	" comm.on_msg(function(msg) {\n",
	" //console.log('receiving', msg['content']['data'], msg);\n",
	" // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
	" ws.onmessage(msg['content']['data'])\n",
	" });\n",
	" return ws;\n",
	"}\n",
	"\n",
	"mpl.mpl_figure_comm = function(comm, msg) {\n",
	" // This is the function which gets called when the mpl process\n",
	" // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
	"\n",
	" var id = msg.content.data.id;\n",
	" // Get hold of the div created by the display call when the Comm\n",
	" // socket was opened in Python.\n",
	" var element = $(\"#\" + id);\n",
	" var ws_proxy = comm_websocket_adapter(comm)\n",
	"\n",
	" function ondownload(figure, format) {\n",
	" window.open(figure.imageObj.src);\n",
	" }\n",
	"\n",
	" var fig = new mpl.figure(id, ws_proxy,\n",
	" ondownload,\n",
	" element.get(0));\n",
	"\n",
	" // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
	" // web socket which is closed, not our websocket->open comm proxy.\n",
	" ws_proxy.onopen();\n",
	"\n",
	" fig.parent_element = element.get(0);\n",
	" fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
	" if (!fig.cell_info) {\n",
	" console.error(\"Failed to find cell for figure\", id, fig);\n",
	" return;\n",
	" }\n",
	"\n",
	" var output_index = fig.cell_info[2]\n",
	" var cell = fig.cell_info[0];\n",
	"\n",
	"};\n",
	"\n",
	"mpl.figure.prototype.handle_close = function(fig, msg) {\n",
	" var width = fig.canvas.width/mpl.ratio\n",
	" fig.root.unbind('remove')\n",
	"\n",
	" // Update the output cell to use the data from the current canvas.\n",
	" fig.push_to_output();\n",
	" var dataURL = fig.canvas.toDataURL();\n",
	" // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
	" // the notebook keyboard shortcuts fail.\n",
	" IPython.keyboard_manager.enable()\n",
	" $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
	" fig.close_ws(fig, msg);\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.close_ws = function(fig, msg){\n",
	" fig.send_message('closing', msg);\n",
	" // fig.ws.close()\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
	" // Turn the data on the canvas into data in the output cell.\n",
	" var width = this.canvas.width/mpl.ratio\n",
	" var dataURL = this.canvas.toDataURL();\n",
	" this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.updated_canvas_event = function() {\n",
	" // Tell IPython that the notebook contents must change.\n",
	" IPython.notebook.set_dirty(true);\n",
	" this.send_message(\"ack\", {});\n",
	" var fig = this;\n",
	" // Wait a second, then push the new image to the DOM so\n",
	" // that it is saved nicely (might be nice to debounce this).\n",
	" setTimeout(function () { fig.push_to_output() }, 1000);\n",
	"}\n",
	"\n",
	"mpl.figure.prototype._init_toolbar = function() {\n",
	" var fig = this;\n",
	"\n",
	" var nav_element = $('<div/>')\n",
	" nav_element.attr('style', 'width: 100%');\n",
	" this.root.append(nav_element);\n",
	"\n",
	" // Define a callback function for later on.\n",
	" function toolbar_event(event) {\n",
	" return fig.toolbar_button_onclick(event['data']);\n",
	" }\n",
	" function toolbar_mouse_event(event) {\n",
	" return fig.toolbar_button_onmouseover(event['data']);\n",
	" }\n",
	"\n",
	" for(var toolbar_ind in mpl.toolbar_items){\n",
	" var name = mpl.toolbar_items[toolbar_ind][0];\n",
	" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
	" var image = mpl.toolbar_items[toolbar_ind][2];\n",
	" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
	"\n",
	" if (!name) { continue; };\n",
	"\n",
	" var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
	" button.click(method_name, toolbar_event);\n",
	" button.mouseover(tooltip, toolbar_mouse_event);\n",
	" nav_element.append(button);\n",
	" }\n",
	"\n",
	" // Add the status bar.\n",
	" var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
	" nav_element.append(status_bar);\n",
	" this.message = status_bar[0];\n",
	"\n",
	" // Add the close button to the window.\n",
	" var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
	" var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
	" button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
	" button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
	" buttongrp.append(button);\n",
	" var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
	" titlebar.prepend(buttongrp);\n",
	"}\n",
	"\n",
	"mpl.figure.prototype._root_extra_style = function(el){\n",
	" var fig = this\n",
	" el.on(\"remove\", function(){\n",
	"\tfig.close_ws(fig, {});\n",
	" });\n",
	"}\n",
	"\n",
	"mpl.figure.prototype._canvas_extra_style = function(el){\n",
	" // this is important to make the div 'focusable\n",
	" el.attr('tabindex', 0)\n",
	" // reach out to IPython and tell the keyboard manager to turn it's self\n",
	" // off when our div gets focus\n",
	"\n",
	" // location in version 3\n",
	" if (IPython.notebook.keyboard_manager) {\n",
	" IPython.notebook.keyboard_manager.register_events(el);\n",
	" }\n",
	" else {\n",
	" // location in version 2\n",
	" IPython.keyboard_manager.register_events(el);\n",
	" }\n",
	"\n",
	"}\n",
	"\n",
	"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
	" var manager = IPython.notebook.keyboard_manager;\n",
	" if (!manager)\n",
	" manager = IPython.keyboard_manager;\n",
	"\n",
	" // Check for shift+enter\n",
	" if (event.shiftKey && event.which == 13) {\n",
	" this.canvas_div.blur();\n",
	" event.shiftKey = false;\n",
	" // Send a \"J\" for go to next cell\n",
	" event.which = 74;\n",
	" event.keyCode = 74;\n",
	" manager.command_mode();\n",
	" manager.handle_keydown(event);\n",
	" }\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
	" fig.ondownload(fig, null);\n",
	"}\n",
	"\n",
	"\n",
	"mpl.find_output_cell = function(html_output) {\n",
	" // Return the cell and output element which can be found uniquely in the notebook.\n",
	" // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
	" // IPython event is triggered only after the cells have been serialised, which for\n",
	" // our purposes (turning an active figure into a static one), is too late.\n",
	" var cells = IPython.notebook.get_cells();\n",
	" var ncells = cells.length;\n",
	" for (var i=0; i<ncells; i++) {\n",
	" var cell = cells[i];\n",
	" if (cell.cell_type === 'code'){\n",
	" for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
	" var data = cell.output_area.outputs[j];\n",
	" if (data.data) {\n",
	" // IPython >= 3 moved mimebundle to data attribute of output\n",
	" data = data.data;\n",
	" }\n",
	" if (data['text/html'] == html_output) {\n",
	" return [cell, data, j];\n",
	" }\n",
	" }\n",
	" }\n",
	" }\n",
	"}\n",
	"\n",
	"// Register the function which deals with the matplotlib target/channel.\n",
	"// The kernel may be null if the page has been refreshed.\n",
	"if (IPython.notebook.kernel != null) {\n",
	" IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
	"}\n"
	],
	"text/plain": [
	"<IPython.core.display.Javascript object>"
	]
	},
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	"output_type": "display_data"
	},
	{
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\" width=\"1000\">"
	],
	"text/plain": [
	"<IPython.core.display.HTML object>"
	]
	},
	"metadata": {},
	"output_type": "display_data"
	}
	],
	"source": [
	"t = 7\n",
	"\n",
	"plt.figure(figsize = (10,4))\n",
	"ax = plt.subplot(121)\n",
	"SIS_H.isel(time = t).SIS.plot(ax = ax)\n",
	"plt.axis('equal')\n",
	"\n",
	"ax = plt.subplot(122)\n",
	"SIS_H_proj_ds.isel(z = t).SIS_20151230.plot(ax = ax)\n",
	"plt.axis('equal')\n",
	"\n",
	"plt.subplots_adjust(left = 0, hspace = 0.7, right = 1)\n",
	"\n"
	]
	},
	{
	"cell_type": "code",
	"execution_count": 33,
	"metadata": {},
	"outputs": [
	{
	"data": {
	"text/plain": [
	"<xarray.Dataset>\n",
	"Dimensions: (lat: 103, lon: 241)\n",
	"Coordinates:\n",
	" * lon (lon) float32 5.75 5.7708335 5.791667 ... 10.708334 10.729167 10.75\n",
	" * lat (lat) float32 45.75 45.770832 45.791664 ... 47.854164 47.875\n",
	"Data variables:\n",
	" SIS (lat, lon) float32 1871.074 1802.0314 ... 1656.8208 1648.7129"
	]
	},
	"execution_count": 33,
	"metadata": {},
	"output_type": "execute_result"
	}
	],
	"source": [
	"# get daily sum:\n",
	"SIS_H.sum('time')"
	]
	},
	{
	"cell_type": "code",
	"execution_count": null,
	"metadata": {},
	"outputs": [],
	"source": []
	},
	{
	"cell_type": "markdown",
	"metadata": {},
	"source": [
	"## Geographic projection using GDAL"
	]
	},
	{
	"cell_type": "code",
	"execution_count": 13,
	"metadata": {},
	"outputs": [],
	"source": [
	"SIS_H_file = '/Users/alinawalch/Downloads/MSG_SIS_H_2016/msg.SIS.H_ch02.lonlat_20160101000000.nc'\n",
	"SIS_H_ds = gdal.Open('NETCDF:\"'+SIS_H_file+'\":SIS')"
	]
	},
	{
	"cell_type": "code",
	"execution_count": 14,
	"metadata": {
	"scrolled": true
	},
	"outputs": [
	{
	"data": {
	"text/plain": [
	"{'NC_GLOBAL#Conventions': 'CF-1.5',\n",
	" 'NC_GLOBAL#Creator_Email': 'reto.stoeckli@meteoswiss.ch',\n",
	" 'NC_GLOBAL#Creator_Name': 'Reto Stockli',\n",
	" 'NC_GLOBAL#Creator_Url': 'http://www.meteoswiss.ch',\n",
	" 'NC_GLOBAL#Digital_Object_Identifier': 'not assigned',\n",
	" 'NC_GLOBAL#Institution': 'Federal Office of Meteorology and Climatology MeteoSwiss',\n",
	" 'NC_GLOBAL#Metadata_Conventions': 'Unidata Dataset Discovery v1.0',\n",
	" 'NC_GLOBAL#References': 'Reto Stockli (2013). The HelioMont Surface Solar Radiation Processing, Scientific Report MeteoSwiss, 93, 122 pp.',\n",
	" 'NC_GLOBAL#Summary': 'Composited surface states, cloud properties and surface radiation fluxes from Meteteosat Second Generation SEVIRI data',\n",
	" 'NC_GLOBAL#Title': 'The HelioMont Surface Solar Radiation Processing of MeteoSwiss (Composite File)',\n",
	" 'NETCDF_DIM_EXTRA': '{time}',\n",
	" 'NETCDF_DIM_time_DEF': '{24,6}',\n",
	" 'NETCDF_DIM_time_VALUES': '{0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23}',\n",
	" 'SIS#_FillValue': '9.96921e+36',\n",
	" 'SIS#grid_mapping': 'geographic_projection',\n",
	" 'SIS#long_name': 'Global Radiation (hourly mean)',\n",
	" 'SIS#prod_date': '2017-02-28 08:55:11',\n",
	" 'SIS#units': 'W m-2',\n",
	" 'SIS#version': '2.4.0',\n",
	" 'geographic_projection#datum': 'wgs84',\n",
	" 'geographic_projection#grid_mapping_name': 'latitude_longitude',\n",
	" 'geographic_projection#prod_date': '2017-02-28 08:55:11',\n",
	" 'geographic_projection#semi_major_axis': '6378137',\n",
	" 'geographic_projection#semi_minor_axis': '6356752.3',\n",
	" 'geographic_projection#spatial_ref': 'GEOGCS[\"WGS 84\",DATUM[\"WGS_1984\",SPHEROID[\"WGS 84\",6378137,298.257223563,AUTHORITY[\"EPSG\",7030]],TOWGS84[0,0,0,0,0,0,0],AUTHORITY[\"EPSG\",6326]],PRIMEM[\"Greenwich\",0,AUTHORITY[\"EPSG\",8901]],UNIT[\"DMSH\",0.0174532925199433,AUTHORITY[\"EPSG\",9108]],AXIS[\"Lat\",NORTH],AXIS[\"Long\",EAST],AUTHORITY[\"EPSG\",4326]]',\n",
	" 'geographic_projection#version': '2.4.0',\n",
	" 'lat#long_name': 'latitude',\n",
	" 'lat#units': 'degrees_north',\n",
	" 'lon#long_name': 'longitude',\n",
	" 'lon#units': 'degrees_east',\n",
	" 'time#calendar': 'gregorian',\n",
	" 'time#long_name': 'time',\n",
	" 'time#units': 'hours since 2016-01-01 00:00:00'}"
	]
	},
	"execution_count": 14,
	"metadata": {},
	"output_type": "execute_result"
	}
	],
	"source": [
	"metadata = SIS_H_ds.GetMetadata()\n",
	"metadata"
	]
	},
	{
	"cell_type": "code",
	"execution_count": 19,
	"metadata": {},
	"outputs": [],
	"source": [
	"SIS_H_proj = '/Users/alinawalch/Downloads/msg.SIS.H_ch02.lonlat_20160101000000_proj.tif'"
	]
	},
	{
	"cell_type": "code",
	"execution_count": 18,
	"metadata": {},
	"outputs": [],
	"source": [
	"SIS_H_projected = gdal.Warp(SIS_H_proj, SIS_H_ds, dstSRS='EPSG:2056', srcSRS='EPSG:4326')"
	]
	},
	{
	"cell_type": "code",
	"execution_count": 20,
	"metadata": {
	"scrolled": true
	},
	"outputs": [
	{
	"data": {
	"text/plain": [
	"<osgeo.gdal.Dataset; proxy of <Swig Object of type 'GDALDatasetShadow *' at 0x324de52a0> >"
	]
	},
	"execution_count": 20,
	"metadata": {},
	"output_type": "execute_result"
	}
	],
	"source": [
	"SIS_H_projected"
	]
	},
	{
	"cell_type": "markdown",
	"metadata": {},
	"source": [
	"## Future precipitation (from R)"
	]
	},
	{
	"cell_type": "code",
	- "execution_count": 97,
	+ "execution_count": 2,
	"metadata": {},
	"outputs": [],
	"source": [
	- "# Read RData file and convert data and meta-data into useful formats\n",
	- "data = r.load('~/Downloads/pr_SMHI-RCA-NORESM-EUR44-RCP85_ARO.Rdata', verbose = True)\n",
	- "df = r(data[0])\n",
	- "attributes = r('attributes(%s)' %(data[0]))"
	+ "def load_r_to_array( filename, var_name ):\n",
	+ " # Read RData file and convert data and meta-data into useful formats\n",
	+ " data = r.load( filename , verbose = True)\n",
	+ " df = r(data[0])\n",
	+ " attributes = r('attributes(%s)' %(data[0]))\n",
	+ " \n",
	+ " # Convert data into dictionary for further use\n",
	+ " df_dict = dict(zip(df.names, list(df)))\n",
	+ " attr_dict = dict(zip(attributes.names, list(attributes)))\n",
	+ " \n",
	+ " # convert integers to datetime indices\n",
	+ " dates = [ pd.to_datetime(0) + pd.Timedelta(val, unit='d') for val in df_dict['data.time'] ] \n",
	+ " \n",
	+ " # create data array and add metadata\n",
	+ " data_array = xr.DataArray(data = df_dict['data.series'], coords = [dates], dims = 'time', name='precipitation')\n",
	+ " data_array.coords['station'] = attr_dict['station'][0]\n",
	+ " data_array.attrs['period'] = attr_dict['qm.period'][0]\n",
	+ " data_array.attrs['calibration_period'] = attr_dict['calibration.period'][0]\n",
	+ " data_array.attrs['modelchain'] = attr_dict['modelchain'][0]\n",
	+ " data_array.attrs['version'] = attr_dict['qm.version'][0]\n",
	+ " \n",
	+ " data_df = pd.DataFrame( data = data_array.to_pandas(), columns = [attr_dict['station'][0]])\n",
	+ " \n",
	+ " return data_array, data_df"
	]
	},
	{
	"cell_type": "code",
	- "execution_count": 101,
	+ "execution_count": 13,
	"metadata": {},
	"outputs": [],
	"source": [
	- "# Convert data into dictionary for further use\n",
	- "df_dict = dict(zip(df.names, list(df)))\n",
	- "attr_dict = dict(zip(attributes.names, list(attributes)))"
	+ "pr = []\n",
	+ "tas = []\n",
	+ "rsds = []\n",
	+ "\n",
	+ "var_dict = {\n",
	+ " 'pr' : pr ,\n",
	+ " 'tas' : tas ,\n",
	+ " 'rsds': rsds\n",
	+ "}"
	]
	},
	{
	"cell_type": "code",
	- "execution_count": 102,
	+ "execution_count": 18,
	"metadata": {},
	"outputs": [],
	"source": [
	- "# convert integers to datetime indices\n",
	- "dates = [ pd.to_datetime(0) + pd.Timedelta(val, unit='d') for val in df_dict['data.time'] ] "
	+ "files = [ 'pr_SMHI-RCA-NORESM-EUR44-RCP85_ARO.Rdata' ]\n",
	+ "subdir = '/Users/alinawalch/Downloads'"
	]
	},
	{
	"cell_type": "code",
	- "execution_count": 104,
	+ "execution_count": 35,
	"metadata": {},
	- "outputs": [],
	+ "outputs": [
	+ {
	+ "name": "stdout",
	+ "output_type": "stream",
	+ "text": [
	+ "Loading objects:\n",
	+ "\n",
	+ " \n",
	+ "results.qm\n",
	+ "\n",
	+ "Added /Users/alinawalch/Downloads/pr_SMHI-RCA-NORESM-EUR44-RCP85_ARO.Rdata\n",
	+ "Failed to convert and save tas: No objects to concatenate\n",
	+ "Failed to convert and save rsds: No objects to concatenate\n"
	+ ]
	+ }
	+ ],
	"source": [
	- "# create data array and add metadata\n",
	- "data_array = xr.DataArray(data = df_dict['data.series'], coords = [dates], dims = 'time', name='precipitation')\n",
	- "data_array.coords['station'] = attr_dict['station'][0]\n",
	- "data_array.attrs['period'] = attr_dict['qm.period'][0]\n",
	- "data_array.attrs['calibration_period'] = attr_dict['calibration.period'][0]\n",
	- "data_array.attrs['modelchain'] = attr_dict['modelchain'][0]\n",
	- "data_array.attrs['version'] = attr_dict['qm.version'][0]"
	+ "for file in files:\n",
	+ " file_base = file.split('.')\n",
	+ " if file_base[1] != 'Rdata': continue\n",
	+ " \n",
	+ " components = file_base[0].split('_')\n",
	+ " var = components[0]\n",
	+ " \n",
	+ " fp = os.path.join( subdir, file )\n",
	+ " arr, df = load_r_to_array( fp, var )\n",
	+ " \n",
	+ " var_dict[ var ].append( df )\n",
	+ " \n",
	+ " print(\"Added %s\" %fp)\n",
	+ " \n",
	+ "for key, df in var_dict.items():\n",
	+ " try:\n",
	+ " df = pd.concat(df)\n",
	+ " # df.to_csv( '%s_%s.csv' %(subdir, key) )\n",
	+ " \n",
	+ " except Exception as e: print('Failed to convert and save %s: %s' %(key, e))"
	]
	},
	{
	"cell_type": "code",
	- "execution_count": 105,
	+ "execution_count": 4,
	"metadata": {},
	"outputs": [
	{
	- "data": {
	- "text/plain": [
	- "<xarray.DataArray 'precipitation' (time: 43464)>\n",
	- "array([16.526801, 11.648258, 1.492997, ..., 0. , 0. , 0. ])\n",
	- "Coordinates:\n",
	- " * time (time) datetime64[ns] 1981-01-01 1981-01-02 1981-01-03 ...\n",
	- " station <U3 'ARO'\n",
	- "Attributes:\n",
	- " period: 1981-2099\n",
	- " calibration_period: 1981-2010\n",
	- " modelchain: SMHI-RCA-NORESM-EUR44-RCP85\n",
	- " version: v08"
	- ]
	- },
	- "execution_count": 105,
	- "metadata": {},
	- "output_type": "execute_result"
	+ "name": "stdout",
	+ "output_type": "stream",
	+ "text": [
	+ "Loading objects:\n",
	+ "\n",
	+ " \n",
	+ "results.qm\n",
	+ "\n"
	+ ]
	}
	],
	"source": [
	- "data_array"
	+ "arr, df = load_r_to_array('/Users/alinawalch/Downloads/pr_SMHI-RCA-NORESM-EUR44-RCP85_ARO.Rdata', 'pr')\n",
	+ "var_dict['pr'].append(df)"
	]
	},
	{
	"cell_type": "code",
	- "execution_count": 106,
	+ "execution_count": 10,
	"metadata": {},
	"outputs": [
	{
	"data": {
	"application/javascript": [
	"/* Put everything inside the global mpl namespace */\n",
	"window.mpl = {};\n",
	"\n",
	"\n",
	"mpl.get_websocket_type = function() {\n",
	" if (typeof(WebSocket) !== 'undefined') {\n",
	" return WebSocket;\n",
	" } else if (typeof(MozWebSocket) !== 'undefined') {\n",
	" return MozWebSocket;\n",
	" } else {\n",
	" alert('Your browser does not have WebSocket support.' +\n",
	" 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
	" 'Firefox 4 and 5 are also supported but you ' +\n",
	" 'have to enable WebSockets in about:config.');\n",
	" };\n",
	"}\n",
	"\n",
	"mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
	" this.id = figure_id;\n",
	"\n",
	" this.ws = websocket;\n",
	"\n",
	" this.supports_binary = (this.ws.binaryType != undefined);\n",
	"\n",
	" if (!this.supports_binary) {\n",
	" var warnings = document.getElementById(\"mpl-warnings\");\n",
	" if (warnings) {\n",
	" warnings.style.display = 'block';\n",
	" warnings.textContent = (\n",
	" \"This browser does not support binary websocket messages. \" +\n",
	" \"Performance may be slow.\");\n",
	" }\n",
	" }\n",
	"\n",
	" this.imageObj = new Image();\n",
	"\n",
	" this.context = undefined;\n",
	" this.message = undefined;\n",
	" this.canvas = undefined;\n",
	" this.rubberband_canvas = undefined;\n",
	" this.rubberband_context = undefined;\n",
	" this.format_dropdown = undefined;\n",
	"\n",
	" this.image_mode = 'full';\n",
	"\n",
	" this.root = $('<div/>');\n",
	" this._root_extra_style(this.root)\n",
	" this.root.attr('style', 'display: inline-block');\n",
	"\n",
	" $(parent_element).append(this.root);\n",
	"\n",
	" this._init_header(this);\n",
	" this._init_canvas(this);\n",
	" this._init_toolbar(this);\n",
	"\n",
	" var fig = this;\n",
	"\n",
	" this.waiting = false;\n",
	"\n",
	" this.ws.onopen = function () {\n",
	" fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
	" fig.send_message(\"send_image_mode\", {});\n",
	" if (mpl.ratio != 1) {\n",
	" fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
	" }\n",
	" fig.send_message(\"refresh\", {});\n",
	" }\n",
	"\n",
	" this.imageObj.onload = function() {\n",
	" if (fig.image_mode == 'full') {\n",
	" // Full images could contain transparency (where diff images\n",
	" // almost always do), so we need to clear the canvas so that\n",
	" // there is no ghosting.\n",
	" fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
	" }\n",
	" fig.context.drawImage(fig.imageObj, 0, 0);\n",
	" };\n",
	"\n",
	" this.imageObj.onunload = function() {\n",
	" fig.ws.close();\n",
	" }\n",
	"\n",
	" this.ws.onmessage = this._make_on_message_function(this);\n",
	"\n",
	" this.ondownload = ondownload;\n",
	"}\n",
	"\n",
	"mpl.figure.prototype._init_header = function() {\n",
	" var titlebar = $(\n",
	" '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
	" 'ui-helper-clearfix\"/>');\n",
	" var titletext = $(\n",
	" '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
	" 'text-align: center; padding: 3px;\"/>');\n",
	" titlebar.append(titletext)\n",
	" this.root.append(titlebar);\n",
	" this.header = titletext[0];\n",
	"}\n",
	"\n",
	"\n",
	"\n",
	"mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
	"\n",
	"}\n",
	"\n",
	"\n",
	"mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
	"\n",
	"}\n",
	"\n",
	"mpl.figure.prototype._init_canvas = function() {\n",
	" var fig = this;\n",
	"\n",
	" var canvas_div = $('<div/>');\n",
	"\n",
	" canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
	"\n",
	" function canvas_keyboard_event(event) {\n",
	" return fig.key_event(event, event['data']);\n",
	" }\n",
	"\n",
	" canvas_div.keydown('key_press', canvas_keyboard_event);\n",
	" canvas_div.keyup('key_release', canvas_keyboard_event);\n",
	" this.canvas_div = canvas_div\n",
	" this._canvas_extra_style(canvas_div)\n",
	" this.root.append(canvas_div);\n",
	"\n",
	" var canvas = $('<canvas/>');\n",
	" canvas.addClass('mpl-canvas');\n",
	" canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
	"\n",
	" this.canvas = canvas[0];\n",
	" this.context = canvas[0].getContext(\"2d\");\n",
	"\n",
	" var backingStore = this.context.backingStorePixelRatio \|\|\n",
	"\tthis.context.webkitBackingStorePixelRatio \|\|\n",
	"\tthis.context.mozBackingStorePixelRatio \|\|\n",
	"\tthis.context.msBackingStorePixelRatio \|\|\n",
	"\tthis.context.oBackingStorePixelRatio \|\|\n",
	"\tthis.context.backingStorePixelRatio \|\| 1;\n",
	"\n",
	" mpl.ratio = (window.devicePixelRatio \|\| 1) / backingStore;\n",
	"\n",
	" var rubberband = $('<canvas/>');\n",
	" rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
	"\n",
	" var pass_mouse_events = true;\n",
	"\n",
	" canvas_div.resizable({\n",
	" start: function(event, ui) {\n",
	" pass_mouse_events = false;\n",
	" },\n",
	" resize: function(event, ui) {\n",
	" fig.request_resize(ui.size.width, ui.size.height);\n",
	" },\n",
	" stop: function(event, ui) {\n",
	" pass_mouse_events = true;\n",
	" fig.request_resize(ui.size.width, ui.size.height);\n",
	" },\n",
	" });\n",
	"\n",
	" function mouse_event_fn(event) {\n",
	" if (pass_mouse_events)\n",
	" return fig.mouse_event(event, event['data']);\n",
	" }\n",
	"\n",
	" rubberband.mousedown('button_press', mouse_event_fn);\n",
	" rubberband.mouseup('button_release', mouse_event_fn);\n",
	" // Throttle sequential mouse events to 1 every 20ms.\n",
	" rubberband.mousemove('motion_notify', mouse_event_fn);\n",
	"\n",
	" rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
	" rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
	"\n",
	" canvas_div.on(\"wheel\", function (event) {\n",
	" event = event.originalEvent;\n",
	" event['data'] = 'scroll'\n",
	" if (event.deltaY < 0) {\n",
	" event.step = 1;\n",
	" } else {\n",
	" event.step = -1;\n",
	" }\n",
	" mouse_event_fn(event);\n",
	" });\n",
	"\n",
	" canvas_div.append(canvas);\n",
	" canvas_div.append(rubberband);\n",
	"\n",
	" this.rubberband = rubberband;\n",
	" this.rubberband_canvas = rubberband[0];\n",
	" this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
	" this.rubberband_context.strokeStyle = \"#000000\";\n",
	"\n",
	" this._resize_canvas = function(width, height) {\n",
	" // Keep the size of the canvas, canvas container, and rubber band\n",
	" // canvas in synch.\n",
	" canvas_div.css('width', width)\n",
	" canvas_div.css('height', height)\n",
	"\n",
	" canvas.attr('width', width * mpl.ratio);\n",
	" canvas.attr('height', height * mpl.ratio);\n",
	" canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
	"\n",
	" rubberband.attr('width', width);\n",
	" rubberband.attr('height', height);\n",
	" }\n",
	"\n",
	" // Set the figure to an initial 600x600px, this will subsequently be updated\n",
	" // upon first draw.\n",
	" this._resize_canvas(600, 600);\n",
	"\n",
	" // Disable right mouse context menu.\n",
	" $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
	" return false;\n",
	" });\n",
	"\n",
	" function set_focus () {\n",
	" canvas.focus();\n",
	" canvas_div.focus();\n",
	" }\n",
	"\n",
	" window.setTimeout(set_focus, 100);\n",
	"}\n",
	"\n",
	"mpl.figure.prototype._init_toolbar = function() {\n",
	" var fig = this;\n",
	"\n",
	" var nav_element = $('<div/>')\n",
	" nav_element.attr('style', 'width: 100%');\n",
	" this.root.append(nav_element);\n",
	"\n",
	" // Define a callback function for later on.\n",
	" function toolbar_event(event) {\n",
	" return fig.toolbar_button_onclick(event['data']);\n",
	" }\n",
	" function toolbar_mouse_event(event) {\n",
	" return fig.toolbar_button_onmouseover(event['data']);\n",
	" }\n",
	"\n",
	" for(var toolbar_ind in mpl.toolbar_items) {\n",
	" var name = mpl.toolbar_items[toolbar_ind][0];\n",
	" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
	" var image = mpl.toolbar_items[toolbar_ind][2];\n",
	" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
	"\n",
	" if (!name) {\n",
	" // put a spacer in here.\n",
	" continue;\n",
	" }\n",
	" var button = $('<button/>');\n",
	" button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
	" 'ui-button-icon-only');\n",
	" button.attr('role', 'button');\n",
	" button.attr('aria-disabled', 'false');\n",
	" button.click(method_name, toolbar_event);\n",
	" button.mouseover(tooltip, toolbar_mouse_event);\n",
	"\n",
	" var icon_img = $('<span/>');\n",
	" icon_img.addClass('ui-button-icon-primary ui-icon');\n",
	" icon_img.addClass(image);\n",
	" icon_img.addClass('ui-corner-all');\n",
	"\n",
	" var tooltip_span = $('<span/>');\n",
	" tooltip_span.addClass('ui-button-text');\n",
	" tooltip_span.html(tooltip);\n",
	"\n",
	" button.append(icon_img);\n",
	" button.append(tooltip_span);\n",
	"\n",
	" nav_element.append(button);\n",
	" }\n",
	"\n",
	" var fmt_picker_span = $('<span/>');\n",
	"\n",
	" var fmt_picker = $('<select/>');\n",
	" fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
	" fmt_picker_span.append(fmt_picker);\n",
	" nav_element.append(fmt_picker_span);\n",
	" this.format_dropdown = fmt_picker[0];\n",
	"\n",
	" for (var ind in mpl.extensions) {\n",
	" var fmt = mpl.extensions[ind];\n",
	" var option = $(\n",
	" '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
	" fmt_picker.append(option)\n",
	" }\n",
	"\n",
	" // Add hover states to the ui-buttons\n",
	" $( \".ui-button\" ).hover(\n",
	" function() { $(this).addClass(\"ui-state-hover\");},\n",
	" function() { $(this).removeClass(\"ui-state-hover\");}\n",
	" );\n",
	"\n",
	" var status_bar = $('<span class=\"mpl-message\"/>');\n",
	" nav_element.append(status_bar);\n",
	" this.message = status_bar[0];\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
	" // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
	" // which will in turn request a refresh of the image.\n",
	" this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.send_message = function(type, properties) {\n",
	" properties['type'] = type;\n",
	" properties['figure_id'] = this.id;\n",
	" this.ws.send(JSON.stringify(properties));\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.send_draw_message = function() {\n",
	" if (!this.waiting) {\n",
	" this.waiting = true;\n",
	" this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
	" }\n",
	"}\n",
	"\n",
	"\n",
	"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
	" var format_dropdown = fig.format_dropdown;\n",
	" var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
	" fig.ondownload(fig, format);\n",
	"}\n",
	"\n",
	"\n",
	"mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
	" var size = msg['size'];\n",
	" if (size[0] != fig.canvas.width \|\| size[1] != fig.canvas.height) {\n",
	" fig._resize_canvas(size[0], size[1]);\n",
	" fig.send_message(\"refresh\", {});\n",
	" };\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
	" var x0 = msg['x0'] / mpl.ratio;\n",
	" var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
	" var x1 = msg['x1'] / mpl.ratio;\n",
	" var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
	" x0 = Math.floor(x0) + 0.5;\n",
	" y0 = Math.floor(y0) + 0.5;\n",
	" x1 = Math.floor(x1) + 0.5;\n",
	" y1 = Math.floor(y1) + 0.5;\n",
	" var min_x = Math.min(x0, x1);\n",
	" var min_y = Math.min(y0, y1);\n",
	" var width = Math.abs(x1 - x0);\n",
	" var height = Math.abs(y1 - y0);\n",
	"\n",
	" fig.rubberband_context.clearRect(\n",
	" 0, 0, fig.canvas.width, fig.canvas.height);\n",
	"\n",
	" fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
	" // Updates the figure title.\n",
	" fig.header.textContent = msg['label'];\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
	" var cursor = msg['cursor'];\n",
	" switch(cursor)\n",
	" {\n",
	" case 0:\n",
	" cursor = 'pointer';\n",
	" break;\n",
	" case 1:\n",
	" cursor = 'default';\n",
	" break;\n",
	" case 2:\n",
	" cursor = 'crosshair';\n",
	" break;\n",
	" case 3:\n",
	" cursor = 'move';\n",
	" break;\n",
	" }\n",
	" fig.rubberband_canvas.style.cursor = cursor;\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.handle_message = function(fig, msg) {\n",
	" fig.message.textContent = msg['message'];\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
	" // Request the server to send over a new figure.\n",
	" fig.send_draw_message();\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
	" fig.image_mode = msg['mode'];\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.updated_canvas_event = function() {\n",
	" // Called whenever the canvas gets updated.\n",
	" this.send_message(\"ack\", {});\n",
	"}\n",
	"\n",
	"// A function to construct a web socket function for onmessage handling.\n",
	"// Called in the figure constructor.\n",
	"mpl.figure.prototype._make_on_message_function = function(fig) {\n",
	" return function socket_on_message(evt) {\n",
	" if (evt.data instanceof Blob) {\n",
	" /* FIXME: We get \"Resource interpreted as Image but\n",
	" * transferred with MIME type text/plain:\" errors on\n",
	" * Chrome. But how to set the MIME type? It doesn't seem\n",
	" * to be part of the websocket stream */\n",
	" evt.data.type = \"image/png\";\n",
	"\n",
	" /* Free the memory for the previous frames */\n",
	" if (fig.imageObj.src) {\n",
	" (window.URL \|\| window.webkitURL).revokeObjectURL(\n",
	" fig.imageObj.src);\n",
	" }\n",
	"\n",
	" fig.imageObj.src = (window.URL \|\| window.webkitURL).createObjectURL(\n",
	" evt.data);\n",
	" fig.updated_canvas_event();\n",
	" fig.waiting = false;\n",
	" return;\n",
	" }\n",
	" else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
	" fig.imageObj.src = evt.data;\n",
	" fig.updated_canvas_event();\n",
	" fig.waiting = false;\n",
	" return;\n",
	" }\n",
	"\n",
	" var msg = JSON.parse(evt.data);\n",
	" var msg_type = msg['type'];\n",
	"\n",
	" // Call the \"handle_{type}\" callback, which takes\n",
	" // the figure and JSON message as its only arguments.\n",
	" try {\n",
	" var callback = fig[\"handle_\" + msg_type];\n",
	" } catch (e) {\n",
	" console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
	" return;\n",
	" }\n",
	"\n",
	" if (callback) {\n",
	" try {\n",
	" // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
	" callback(fig, msg);\n",
	" } catch (e) {\n",
	" console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
	" }\n",
	" }\n",
	" };\n",
	"}\n",
	"\n",
	"// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
	"mpl.findpos = function(e) {\n",
	" //this section is from http://www.quirksmode.org/js/events_properties.html\n",
	" var targ;\n",
	" if (!e)\n",
	" e = window.event;\n",
	" if (e.target)\n",
	" targ = e.target;\n",
	" else if (e.srcElement)\n",
	" targ = e.srcElement;\n",
	" if (targ.nodeType == 3) // defeat Safari bug\n",
	" targ = targ.parentNode;\n",
	"\n",
	" // jQuery normalizes the pageX and pageY\n",
	" // pageX,Y are the mouse positions relative to the document\n",
	" // offset() returns the position of the element relative to the document\n",
	" var x = e.pageX - $(targ).offset().left;\n",
	" var y = e.pageY - $(targ).offset().top;\n",
	"\n",
	" return {\"x\": x, \"y\": y};\n",
	"};\n",
	"\n",
	"/*\n",
	" * return a copy of an object with only non-object keys\n",
	" * we need this to avoid circular references\n",
	" * http://stackoverflow.com/a/24161582/3208463\n",
	" */\n",
	"function simpleKeys (original) {\n",
	" return Object.keys(original).reduce(function (obj, key) {\n",
	" if (typeof original[key] !== 'object')\n",
	" obj[key] = original[key]\n",
	" return obj;\n",
	" }, {});\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.mouse_event = function(event, name) {\n",
	" var canvas_pos = mpl.findpos(event)\n",
	"\n",
	" if (name === 'button_press')\n",
	" {\n",
	" this.canvas.focus();\n",
	" this.canvas_div.focus();\n",
	" }\n",
	"\n",
	" var x = canvas_pos.x * mpl.ratio;\n",
	" var y = canvas_pos.y * mpl.ratio;\n",
	"\n",
	" this.send_message(name, {x: x, y: y, button: event.button,\n",
	" step: event.step,\n",
	" guiEvent: simpleKeys(event)});\n",
	"\n",
	" /* This prevents the web browser from automatically changing to\n",
	" * the text insertion cursor when the button is pressed. We want\n",
	" * to control all of the cursor setting manually through the\n",
	" * 'cursor' event from matplotlib */\n",
	" event.preventDefault();\n",
	" return false;\n",
	"}\n",
	"\n",
	"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
	" // Handle any extra behaviour associated with a key event\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.key_event = function(event, name) {\n",
	"\n",
	" // Prevent repeat events\n",
	" if (name == 'key_press')\n",
	" {\n",
	" if (event.which === this._key)\n",
	" return;\n",
	" else\n",
	" this._key = event.which;\n",
	" }\n",
	" if (name == 'key_release')\n",
	" this._key = null;\n",
	"\n",
	" var value = '';\n",
	" if (event.ctrlKey && event.which != 17)\n",
	" value += \"ctrl+\";\n",
	" if (event.altKey && event.which != 18)\n",
	" value += \"alt+\";\n",
	" if (event.shiftKey && event.which != 16)\n",
	" value += \"shift+\";\n",
	"\n",
	" value += 'k';\n",
	" value += event.which.toString();\n",
	"\n",
	" this._key_event_extra(event, name);\n",
	"\n",
	" this.send_message(name, {key: value,\n",
	" guiEvent: simpleKeys(event)});\n",
	" return false;\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
	" if (name == 'download') {\n",
	" this.handle_save(this, null);\n",
	" } else {\n",
	" this.send_message(\"toolbar_button\", {name: name});\n",
	" }\n",
	"};\n",
	"\n",
	"mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
	" this.message.textContent = tooltip;\n",
	"};\n",
	"mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
	"\n",
	"mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
	"\n",
	"mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
	" // Create a \"websocket\"-like object which calls the given IPython comm\n",
	" // object with the appropriate methods. Currently this is a non binary\n",
	" // socket, so there is still some room for performance tuning.\n",
	" var ws = {};\n",
	"\n",
	" ws.close = function() {\n",
	" comm.close()\n",
	" };\n",
	" ws.send = function(m) {\n",
	" //console.log('sending', m);\n",
	" comm.send(m);\n",
	" };\n",
	" // Register the callback with on_msg.\n",
	" comm.on_msg(function(msg) {\n",
	" //console.log('receiving', msg['content']['data'], msg);\n",
	" // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
	" ws.onmessage(msg['content']['data'])\n",
	" });\n",
	" return ws;\n",
	"}\n",
	"\n",
	"mpl.mpl_figure_comm = function(comm, msg) {\n",
	" // This is the function which gets called when the mpl process\n",
	" // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
	"\n",
	" var id = msg.content.data.id;\n",
	" // Get hold of the div created by the display call when the Comm\n",
	" // socket was opened in Python.\n",
	" var element = $(\"#\" + id);\n",
	" var ws_proxy = comm_websocket_adapter(comm)\n",
	"\n",
	" function ondownload(figure, format) {\n",
	" window.open(figure.imageObj.src);\n",
	" }\n",
	"\n",
	" var fig = new mpl.figure(id, ws_proxy,\n",
	" ondownload,\n",
	" element.get(0));\n",
	"\n",
	" // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
	" // web socket which is closed, not our websocket->open comm proxy.\n",
	" ws_proxy.onopen();\n",
	"\n",
	" fig.parent_element = element.get(0);\n",
	" fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
	" if (!fig.cell_info) {\n",
	" console.error(\"Failed to find cell for figure\", id, fig);\n",
	" return;\n",
	" }\n",
	"\n",
	" var output_index = fig.cell_info[2]\n",
	" var cell = fig.cell_info[0];\n",
	"\n",
	"};\n",
	"\n",
	"mpl.figure.prototype.handle_close = function(fig, msg) {\n",
	" var width = fig.canvas.width/mpl.ratio\n",
	" fig.root.unbind('remove')\n",
	"\n",
	" // Update the output cell to use the data from the current canvas.\n",
	" fig.push_to_output();\n",
	" var dataURL = fig.canvas.toDataURL();\n",
	" // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
	" // the notebook keyboard shortcuts fail.\n",
	" IPython.keyboard_manager.enable()\n",
	" $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
	" fig.close_ws(fig, msg);\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.close_ws = function(fig, msg){\n",
	" fig.send_message('closing', msg);\n",
	" // fig.ws.close()\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
	" // Turn the data on the canvas into data in the output cell.\n",
	" var width = this.canvas.width/mpl.ratio\n",
	" var dataURL = this.canvas.toDataURL();\n",
	" this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.updated_canvas_event = function() {\n",
	" // Tell IPython that the notebook contents must change.\n",
	" IPython.notebook.set_dirty(true);\n",
	" this.send_message(\"ack\", {});\n",
	" var fig = this;\n",
	" // Wait a second, then push the new image to the DOM so\n",
	" // that it is saved nicely (might be nice to debounce this).\n",
	" setTimeout(function () { fig.push_to_output() }, 1000);\n",
	"}\n",
	"\n",
	"mpl.figure.prototype._init_toolbar = function() {\n",
	" var fig = this;\n",
	"\n",
	" var nav_element = $('<div/>')\n",
	" nav_element.attr('style', 'width: 100%');\n",
	" this.root.append(nav_element);\n",
	"\n",
	" // Define a callback function for later on.\n",
	" function toolbar_event(event) {\n",
	" return fig.toolbar_button_onclick(event['data']);\n",
	" }\n",
	" function toolbar_mouse_event(event) {\n",
	" return fig.toolbar_button_onmouseover(event['data']);\n",
	" }\n",
	"\n",
	" for(var toolbar_ind in mpl.toolbar_items){\n",
	" var name = mpl.toolbar_items[toolbar_ind][0];\n",
	" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
	" var image = mpl.toolbar_items[toolbar_ind][2];\n",
	" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
	"\n",
	" if (!name) { continue; };\n",
	"\n",
	" var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
	" button.click(method_name, toolbar_event);\n",
	" button.mouseover(tooltip, toolbar_mouse_event);\n",
	" nav_element.append(button);\n",
	" }\n",
	"\n",
	" // Add the status bar.\n",
	" var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
	" nav_element.append(status_bar);\n",
	" this.message = status_bar[0];\n",
	"\n",
	" // Add the close button to the window.\n",
	" var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
	" var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
	" button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
	" button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
	" buttongrp.append(button);\n",
	" var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
	" titlebar.prepend(buttongrp);\n",
	"}\n",
	"\n",
	"mpl.figure.prototype._root_extra_style = function(el){\n",
	" var fig = this\n",
	" el.on(\"remove\", function(){\n",
	"\tfig.close_ws(fig, {});\n",
	" });\n",
	"}\n",
	"\n",
	"mpl.figure.prototype._canvas_extra_style = function(el){\n",
	" // this is important to make the div 'focusable\n",
	" el.attr('tabindex', 0)\n",
	" // reach out to IPython and tell the keyboard manager to turn it's self\n",
	" // off when our div gets focus\n",
	"\n",
	" // location in version 3\n",
	" if (IPython.notebook.keyboard_manager) {\n",
	" IPython.notebook.keyboard_manager.register_events(el);\n",
	" }\n",
	" else {\n",
	" // location in version 2\n",
	" IPython.keyboard_manager.register_events(el);\n",
	" }\n",
	"\n",
	"}\n",
	"\n",
	"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
	" var manager = IPython.notebook.keyboard_manager;\n",
	" if (!manager)\n",
	" manager = IPython.keyboard_manager;\n",
	"\n",
	" // Check for shift+enter\n",
	" if (event.shiftKey && event.which == 13) {\n",
	" this.canvas_div.blur();\n",
	" event.shiftKey = false;\n",
	" // Send a \"J\" for go to next cell\n",
	" event.which = 74;\n",
	" event.keyCode = 74;\n",
	" manager.command_mode();\n",
	" manager.handle_keydown(event);\n",
	" }\n",
	"}\n",
	"\n",
	"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
	" fig.ondownload(fig, null);\n",
	"}\n",
	"\n",
	"\n",
	"mpl.find_output_cell = function(html_output) {\n",
	" // Return the cell and output element which can be found uniquely in the notebook.\n",
	" // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
	" // IPython event is triggered only after the cells have been serialised, which for\n",
	" // our purposes (turning an active figure into a static one), is too late.\n",
	" var cells = IPython.notebook.get_cells();\n",
	" var ncells = cells.length;\n",
	" for (var i=0; i<ncells; i++) {\n",
	" var cell = cells[i];\n",
	" if (cell.cell_type === 'code'){\n",
	" for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
	" var data = cell.output_area.outputs[j];\n",
	" if (data.data) {\n",
	" // IPython >= 3 moved mimebundle to data attribute of output\n",
	" data = data.data;\n",
	" }\n",
	" if (data['text/html'] == html_output) {\n",
	" return [cell, data, j];\n",
	" }\n",
	" }\n",
	" }\n",
	" }\n",
	"}\n",
	"\n",
	"// Register the function which deals with the matplotlib target/channel.\n",
	"// The kernel may be null if the page has been refreshed.\n",
	"if (IPython.notebook.kernel != null) {\n",
	" IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
	"}\n"
	],
	"text/plain": [
	"<IPython.core.display.Javascript object>"
	]
	},
	"metadata": {},
	"output_type": "display_data"
	},
	{
	"data": {
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\" 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\" width=\"640\">"
	],
	"text/plain": [
	"<IPython.core.display.HTML object>"
	]
	},
	"metadata": {},
	"output_type": "display_data"
	},
	{
	"data": {
	"text/plain": [
	- "[<matplotlib.lines.Line2D at 0x10b566c18>]"
	+ "[<matplotlib.lines.Line2D at 0x319d562b0>]"
	]
	},
	- "execution_count": 106,
	+ "execution_count": 10,
	"metadata": {},
	"output_type": "execute_result"
	}
	],
	"source": [
	"data_array.plot()"
	]
	},
	{
	"cell_type": "code",
	"execution_count": null,
	"metadata": {},
	"outputs": [],
	"source": []
	}
	],
	"metadata": {
	"kernelspec": {
	"display_name": "Python 3",
	"language": "python",
	"name": "python3"
	},
	"language_info": {
	"codemirror_mode": {
	"name": "ipython",
	"version": 3
	},
	"file_extension": ".py",
	"mimetype": "text/x-python",
	"name": "python",
	"nbconvert_exporter": "python",
	"pygments_lexer": "ipython3",
	- "version": "3.5.5"
	+ "version": "3.6.4"
	}
	},
	"nbformat": 4,
	"nbformat_minor": 2
	}
	diff --git a/Solar_Future/r_to_pd.py b/Solar_Future/r_to_pd.py
	new file mode 100644
	index 0000000..a7fed43
	--- /dev/null
	+++ b/Solar_Future/r_to_pd.py
	@@ -0,0 +1,79 @@
	+import xarray as xr
	+import pandas as pd
	+import numpy as np
	+from rpy2.robjects import r, pandas2ri
	+
	+import os
	+import sys
	+
	+######## USER INPUT ##############
	+
	+DIR = sys.argv[1]
	+
	+##################################
	+
	+def load_r_to_array( filename, var_name ):
	+# Reads file from RFata and converts it to xarray DataArray and pandas DataFrame
	+
	+ # Read RData file and convert data and meta-data into useful formats
	+ data = r.load( filename , verbose = True)
	+ df = r(data[0])
	+ attributes = r('attributes(%s)' %(data[0]))
	+
	+ # Convert data into dictionary for further use
	+ df_dict = dict(zip(df.names, list(df)))
	+ attr_dict = dict(zip(attributes.names, list(attributes)))
	+
	+ # convert integers to datetime indices
	+ dates = [ pd.to_datetime(0) + pd.Timedelta(val, unit='d') for val in df_dict['data.time'] ]
	+
	+ # create data array and add metadata
	+ data_array = xr.DataArray(data = df_dict['data.series'], coords = [dates], dims = 'time', name='precipitation')
	+ data_array.coords['station'] = attr_dict['station'][0]
	+ data_array.attrs['period'] = attr_dict['qm.period'][0]
	+ data_array.attrs['calibration_period'] = attr_dict['calibration.period'][0]
	+ data_array.attrs['modelchain'] = attr_dict['modelchain'][0]
	+ data_array.attrs['version'] = attr_dict['qm.version'][0]
	+
	+ data_df = pd.DataFrame( data = data_array.to_pandas(), columns = [attr_dict['station'][0]])
	+
	+ return data_array, data_df
	+
	+###################################
	+
	+# loop through all subdirectories:
	+for subdir, dirs, files in os.walk( DIR ):
	+
	+ # create a dictionary with entries for all variables to correctly assign files to variables
	+ var_dict = {
	+ 'pr' : [] ,
	+ 'tas' : [] ,
	+ 'rsds': []
	+ }
	+
	+ for file in files:
	+ try:
	+ # verify that the file ha the right extension:
	+ file_base = file.split('.')
	+ if file_base[1] != 'Rdata': continue
	+
	+ # get the variable name of the current file
	+ components = file_base[0].split('_')
	+ var = components[0]
	+
	+ # load the file into pandas dataframe and append to variable
	+ fp = os.path.join( subdir, file )
	+ arr, df = load_r_to_array( fp, var )
	+ var_dict[ var ].append( df )
	+
	+ print("Added %s" %fp)
	+
	+ except Exception as e: print('Failed to add %s: %s' %(fp, e))
	+
	+ # after all columns were added, loop through variables and save each as csv
	+ for key, df in var_dict.items():
	+ try:
	+ df = pd.concat(df)
	+ df.to_csv( '%s_%s.csv' %(subdir, key) )
	+
	+ except Exception as e: print('Failed to convert and save %s: %s' %(key, e))
	\ No newline at end of file

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