Homec4science
Diffusion solar_potential (aw_solar) Browse

solarPOT/ML_tutorial/public/Tutorial 2 - Solution.ipynb
05fca5bbeafeaw_solar

Last Change
Raw File

Tutorial 2 - Solution.ipynb
View Options

This file is larger than 256 KB, so syntax highlighting was skipped.
{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Tutorial 2 - SOLUTION"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Part 1: Data revisited"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Step 1.1 - Load packages and data\n",
"As in the previous tutorials, we start by loading the packages and data:"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"# Import the necessary packages to read the data\n",
"import pandas as pd\n",
"import numpy as np # numpy is always useful\n",
"import os # Loads the functions related to the operating system "
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"# SOLUTION\n",
"# Read the csv file with the training data - the index, i.e. the identifier of the roofs, is the first column (DF_UID)\n",
"data = pd.read_csv( 'training_sample.csv' , index_col = 0 )"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Step 1.2 - Correlation between variables"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Using `pandas`, we can compute the correlation between each pair of variables. To improve the readability of the resulting table, we will style the table with red colors for positive values, and blue colors for negative values:"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<style type=\"text/css\" >\n",
"#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow0_col0,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow1_col1,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow2_col2,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow3_col3,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow4_col4,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow5_col5,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow6_col6,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow7_col7,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow8_col8,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow9_col9,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow10_col10,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow11_col11,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow12_col12,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow13_col13,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow14_col14,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow15_col15,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow16_col16,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow17_col17{\n",
" background-color: #b40426;\n",
" color: #f1f1f1;\n",
" }#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow0_col1,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow0_col14,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow0_col16,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow1_col0,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow2_col6,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow2_col17,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow6_col2,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow14_col0,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow16_col0,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow17_col2{\n",
" background-color: #e0dbd8;\n",
" color: #000000;\n",
" }#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow0_col2,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow2_col0,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow3_col6,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow6_col3{\n",
" background-color: #cdd9ec;\n",
" color: #000000;\n",
" }#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow0_col3,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow3_col0,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow6_col13,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow13_col6{\n",
" background-color: #d5dbe5;\n",
" color: #000000;\n",
" }#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow0_col4,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow4_col0{\n",
" background-color: #ecd3c5;\n",
" color: #000000;\n",
" }#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow0_col5,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow3_col16,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow5_col0,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow16_col3{\n",
" background-color: #ccd9ed;\n",
" color: #000000;\n",
" }#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow0_col6,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow4_col17,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow6_col0,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow17_col4{\n",
" background-color: #c9d7f0;\n",
" color: #000000;\n",
" }#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow0_col7,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow7_col0{\n",
" background-color: #e2dad5;\n",
" color: #000000;\n",
" }#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow0_col8,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow8_col0{\n",
" background-color: #ead4c8;\n",
" color: #000000;\n",
" }#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow0_col9,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow5_col12,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow9_col0,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow12_col5{\n",
" background-color: #e4d9d2;\n",
" color: #000000;\n",
" }#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow0_col10,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow1_col8,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow2_col15,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow4_col11,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow8_col1,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow10_col0,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow11_col4,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow15_col2{\n",
" background-color: #dcdddd;\n",
" color: #000000;\n",
" }#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow0_col11,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow1_col17,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow2_col12,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow5_col14,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow7_col14,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow11_col0,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow12_col2,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow14_col5,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow14_col7,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow17_col1{\n",
" background-color: #d8dce2;\n",
" color: #000000;\n",
" }#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow0_col12,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow9_col16,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow12_col0,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow16_col9{\n",
" background-color: #cfdaea;\n",
" color: #000000;\n",
" }#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow0_col13,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow13_col0{\n",
" background-color: #ead5c9;\n",
" color: #000000;\n",
" }#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow0_col15,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow1_col7,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow1_col13,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow4_col9,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow7_col1,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow9_col4,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow13_col1,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow15_col0{\n",
" background-color: #e3d9d3;\n",
" color: #000000;\n",
" }#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow0_col17,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow17_col0{\n",
" background-color: #c4d5f3;\n",
" color: #000000;\n",
" }#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow1_col2,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow1_col5,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow2_col1,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow4_col10,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow5_col1,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow5_col10,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow5_col15,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow10_col4,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow10_col5,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow15_col5{\n",
" background-color: #dddcdc;\n",
" color: #000000;\n",
" }#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow1_col3,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow2_col10,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow2_col11,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow3_col1,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow4_col15,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow7_col8,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow8_col7,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow10_col2,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow11_col2,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow15_col4{\n",
" background-color: #d7dce3;\n",
" color: #000000;\n",
" }#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow1_col4,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow3_col10,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow3_col12,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow4_col1,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow6_col12,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow10_col3,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow12_col3,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow12_col6{\n",
" background-color: #dfdbd9;\n",
" color: #000000;\n",
" }#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow1_col6,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow2_col8,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow2_col9,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow2_col16,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow4_col16,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow5_col16,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow6_col1,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow6_col10,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow8_col2,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow9_col2,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow10_col6,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow16_col2,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow16_col4,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow16_col5{\n",
" background-color: #dadce0;\n",
" color: #000000;\n",
" }#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow1_col9,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow9_col1{\n",
" background-color: #bed2f6;\n",
" color: #000000;\n",
" }#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow1_col10,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow10_col1{\n",
" background-color: #b1cbfc;\n",
" color: #000000;\n",
" }#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow1_col11,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow11_col1{\n",
" background-color: #b6cefa;\n",
" color: #000000;\n",
" }#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow1_col12,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow3_col13,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow12_col1,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow13_col3,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow15_col17,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow17_col15{\n",
" background-color: #cbd8ee;\n",
" color: #000000;\n",
" }#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow1_col14,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow13_col15,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow14_col1,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow15_col13{\n",
" background-color: #f7bca1;\n",
" color: #000000;\n",
" }#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow1_col15,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow15_col1{\n",
" background-color: #f7b194;\n",
" color: #000000;\n",
" }#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow1_col16,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow16_col1{\n",
" background-color: #f7b599;\n",
" color: #000000;\n",
" }#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow2_col3,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow3_col2,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow6_col9,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow7_col13,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow9_col6,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow13_col7{\n",
" background-color: #d4dbe6;\n",
" color: #000000;\n",
" }#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow2_col4,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow2_col7,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow3_col9,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow4_col2,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow6_col11,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow7_col2,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow7_col16,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow9_col3,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow11_col6,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow16_col7{\n",
" background-color: #d9dce1;\n",
" color: #000000;\n",
" }#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow2_col5,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow2_col14,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow3_col11,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow3_col17,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow5_col2,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow5_col11,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow6_col15,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow11_col3,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow11_col5,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow14_col2,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow15_col6,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow17_col3{\n",
" background-color: #dedcdb;\n",
" color: #000000;\n",
" }#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow2_col13,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow4_col14,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow6_col14,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow6_col16,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow7_col9,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow7_col15,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow9_col7,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow12_col17,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow13_col2,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow14_col4,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow14_col6,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow15_col7,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow16_col6,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow17_col12{\n",
" background-color: #dbdcde;\n",
" color: #000000;\n",
" }#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow3_col4,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow4_col3,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow13_col16,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow16_col13{\n",
" background-color: #f3c7b1;\n",
" color: #000000;\n",
" }#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow3_col5,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow4_col8,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow5_col3,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow7_col10,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow8_col4,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow10_col7{\n",
" background-color: #e5d8d1;\n",
" color: #000000;\n",
" }#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow3_col7,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow7_col3{\n",
" background-color: #f7ad90;\n",
" color: #000000;\n",
" }#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow3_col8,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow3_col14,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow3_col15,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow5_col8,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow8_col3,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow8_col5,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow10_col14,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow14_col3,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow14_col10,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow15_col3{\n",
" background-color: #cedaeb;\n",
" color: #000000;\n",
" }#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow4_col5,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow5_col4{\n",
" background-color: #5f7fe8;\n",
" color: #000000;\n",
" }#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow4_col6,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow6_col4{\n",
" background-color: #5673e0;\n",
" color: #000000;\n",
" }#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow4_col7,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow7_col4,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow8_col16,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow16_col8{\n",
" background-color: #edd1c2;\n",
" color: #000000;\n",
" }#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow4_col12,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow12_col4{\n",
" background-color: #d6dce4;\n",
" color: #000000;\n",
" }#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow4_col13,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow7_col17,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow13_col4,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow17_col7{\n",
" background-color: #e1dad6;\n",
" color: #000000;\n",
" }#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow5_col6,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow6_col5,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow8_col13,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow13_col8{\n",
" background-color: #c53334;\n",
" color: #f1f1f1;\n",
" }#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow5_col7,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow6_col17,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow7_col5,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow8_col15,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow15_col8,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow17_col6{\n",
" background-color: #f2cbb7;\n",
" color: #000000;\n",
" }#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow5_col9,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow8_col12,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow9_col5,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow12_col8{\n",
" background-color: #d3dbe7;\n",
" color: #000000;\n",
" }#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow5_col13,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow6_col8,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow8_col6,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow9_col15,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow13_col5,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow15_col9,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow16_col17,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow17_col16{\n",
" background-color: #d1dae9;\n",
" color: #000000;\n",
" }#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow5_col17,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow17_col5{\n",
" background-color: #f3c8b2;\n",
" color: #000000;\n",
" }#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow6_col7,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow7_col6,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow10_col17,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow17_col10{\n",
" background-color: #b9d0f9;\n",
" color: #000000;\n",
" }#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow7_col11,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow11_col7{\n",
" background-color: #e9d5cb;\n",
" color: #000000;\n",
" }#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow7_col12,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow12_col7{\n",
" background-color: #e7d7ce;\n",
" color: #000000;\n",
" }#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow8_col9,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow9_col8{\n",
" background-color: #e36b54;\n",
" color: #000000;\n",
" }#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow8_col10,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow10_col8{\n",
" background-color: #f6bda2;\n",
" color: #000000;\n",
" }#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow8_col11,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow11_col8{\n",
" background-color: #f0cdbb;\n",
" color: #000000;\n",
" }#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow8_col14,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow14_col8{\n",
" background-color: #f18f71;\n",
" color: #000000;\n",
" }#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow8_col17,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow17_col8{\n",
" background-color: #7ea1fa;\n",
" color: #000000;\n",
" }#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow9_col10,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow10_col9,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow13_col14,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow14_col13{\n",
" background-color: #e36c55;\n",
" color: #000000;\n",
" }#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow9_col11,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow11_col9{\n",
" background-color: #f39475;\n",
" color: #000000;\n",
" }#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow9_col12,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow9_col14,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow12_col9,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow14_col9{\n",
" background-color: #efcebd;\n",
" color: #000000;\n",
" }#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow9_col13,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow13_col9{\n",
" background-color: #f08b6e;\n",
" color: #000000;\n",
" }#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow9_col17,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow17_col9{\n",
" background-color: #92b4fe;\n",
" color: #000000;\n",
" }#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow10_col11,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow11_col10{\n",
" background-color: #cb3e38;\n",
" color: #f1f1f1;\n",
" }#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow10_col12,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow12_col10{\n",
" background-color: #f18d6f;\n",
" color: #000000;\n",
" }#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow10_col13,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow13_col10{\n",
" background-color: #f1cdba;\n",
" color: #000000;\n",
" }#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow10_col15,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow11_col15,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow15_col10,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow15_col11{\n",
" background-color: #bad0f8;\n",
" color: #000000;\n",
" }#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow10_col16,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow16_col10{\n",
" background-color: #bcd2f7;\n",
" color: #000000;\n",
" }#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow11_col12,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow12_col11{\n",
" background-color: #e26952;\n",
" color: #000000;\n",
" }#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow11_col13,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow13_col11{\n",
" background-color: #e6d7cf;\n",
" color: #000000;\n",
" }#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow11_col14,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow14_col11{\n",
" background-color: #c6d6f1;\n",
" color: #000000;\n",
" }#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow11_col16,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow16_col11{\n",
" background-color: #bfd3f6;\n",
" color: #000000;\n",
" }#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow11_col17,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow17_col11{\n",
" background-color: #c1d4f4;\n",
" color: #000000;\n",
" }#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow12_col13,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow13_col12{\n",
" background-color: #cad8ef;\n",
" color: #000000;\n",
" }#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow12_col14,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow14_col12{\n",
" background-color: #c0d4f5;\n",
" color: #000000;\n",
" }#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow12_col15,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow15_col12{\n",
" background-color: #c7d7f0;\n",
" color: #000000;\n",
" }#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow12_col16,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow16_col12{\n",
" background-color: #d2dbe8;\n",
" color: #000000;\n",
" }#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow13_col17,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow17_col13{\n",
" background-color: #81a4fb;\n",
" color: #000000;\n",
" }#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow14_col15,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow15_col14{\n",
" background-color: #de614d;\n",
" color: #000000;\n",
" }#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow14_col16,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow16_col14{\n",
" background-color: #ec7f63;\n",
" color: #000000;\n",
" }#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow14_col17,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow17_col14{\n",
" background-color: #a1c0ff;\n",
" color: #000000;\n",
" }#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow15_col16,#T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow16_col15{\n",
" background-color: #c83836;\n",
" color: #f1f1f1;\n",
" }</style><table id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6f\" ><thead> <tr> <th class=\"blank level0\" ></th> <th class=\"col_heading level0 col0\" >roof_tilt</th> <th class=\"col_heading level0 col1\" >roof_aspect</th> <th class=\"col_heading level0 col2\" >roof_area</th> <th class=\"col_heading level0 col3\" >roof_x</th> <th class=\"col_heading level0 col4\" >roof_y</th> <th class=\"col_heading level0 col5\" >SIS</th> <th class=\"col_heading level0 col6\" >SISDIR</th> <th class=\"col_heading level0 col7\" >DHI</th> <th class=\"col_heading level0 col8\" >horizon_S</th> <th class=\"col_heading level0 col9\" >horizon_SSW</th> <th class=\"col_heading level0 col10\" >horizon_SWW</th> <th class=\"col_heading level0 col11\" >horizon_W</th> <th class=\"col_heading level0 col12\" >horizon_NWW</th> <th class=\"col_heading level0 col13\" >horizon_SSE</th> <th class=\"col_heading level0 col14\" >horizon_SEE</th> <th class=\"col_heading level0 col15\" >horizon_E</th> <th class=\"col_heading level0 col16\" >horizon_NEE</th> <th class=\"col_heading level0 col17\" >tilted_radiation</th> </tr></thead><tbody>\n",
" <tr>\n",
" <th id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6flevel0_row0\" class=\"row_heading level0 row0\" >roof_tilt</th>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow0_col0\" class=\"data row0 col0\" >1.0</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow0_col1\" class=\"data row0 col1\" >0.025</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow0_col2\" class=\"data row0 col2\" >-0.11</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow0_col3\" class=\"data row0 col3\" >-0.056</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow0_col4\" class=\"data row0 col4\" >0.13</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow0_col5\" class=\"data row0 col5\" >-0.12</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow0_col6\" class=\"data row0 col6\" >-0.14</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow0_col7\" class=\"data row0 col7\" >0.044</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow0_col8\" class=\"data row0 col8\" >0.11</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow0_col9\" class=\"data row0 col9\" >0.061</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow0_col10\" class=\"data row0 col10\" >-0.0059</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow0_col11\" class=\"data row0 col11\" >-0.036</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow0_col12\" class=\"data row0 col12\" >-0.097</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow0_col13\" class=\"data row0 col13\" >0.1</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow0_col14\" class=\"data row0 col14\" >0.031</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow0_col15\" class=\"data row0 col15\" >0.047</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow0_col16\" class=\"data row0 col16\" >0.031</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow0_col17\" class=\"data row0 col17\" >-0.17</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6flevel0_row1\" class=\"row_heading level0 row1\" >roof_aspect</th>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow1_col0\" class=\"data row1 col0\" >0.025</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow1_col1\" class=\"data row1 col1\" >1.0</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow1_col2\" class=\"data row1 col2\" >0.0052</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow1_col3\" class=\"data row1 col3\" >-0.045</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow1_col4\" class=\"data row1 col4\" >0.016</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow1_col5\" class=\"data row1 col5\" >0.0007</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow1_col6\" class=\"data row1 col6\" >-0.021</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow1_col7\" class=\"data row1 col7\" >0.048</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow1_col8\" class=\"data row1 col8\" >-0.0016</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow1_col9\" class=\"data row1 col9\" >-0.22</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow1_col10\" class=\"data row1 col10\" >-0.29</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow1_col11\" class=\"data row1 col11\" >-0.26</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow1_col12\" class=\"data row1 col12\" >-0.13</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow1_col13\" class=\"data row1 col13\" >0.052</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow1_col14\" class=\"data row1 col14\" >0.31</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow1_col15\" class=\"data row1 col15\" >0.37</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow1_col16\" class=\"data row1 col16\" >0.35</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow1_col17\" class=\"data row1 col17\" >-0.036</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6flevel0_row2\" class=\"row_heading level0 row2\" >roof_area</th>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow2_col0\" class=\"data row2 col0\" >-0.11</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow2_col1\" class=\"data row2 col1\" >0.0052</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow2_col2\" class=\"data row2 col2\" >1.0</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow2_col3\" class=\"data row2 col3\" >-0.065</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow2_col4\" class=\"data row2 col4\" >-0.028</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow2_col5\" class=\"data row2 col5\" >0.011</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow2_col6\" class=\"data row2 col6\" >0.025</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow2_col7\" class=\"data row2 col7\" >-0.031</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow2_col8\" class=\"data row2 col8\" >-0.021</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow2_col9\" class=\"data row2 col9\" >-0.023</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow2_col10\" class=\"data row2 col10\" >-0.043</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow2_col11\" class=\"data row2 col11\" >-0.039</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow2_col12\" class=\"data row2 col12\" >-0.034</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow2_col13\" class=\"data row2 col13\" >-0.01</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow2_col14\" class=\"data row2 col14\" >0.01</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow2_col15\" class=\"data row2 col15\" >-0.0064</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow2_col16\" class=\"data row2 col16\" >-0.017</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow2_col17\" class=\"data row2 col17\" >0.028</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6flevel0_row3\" class=\"row_heading level0 row3\" >roof_x</th>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow3_col0\" class=\"data row3 col0\" >-0.056</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow3_col1\" class=\"data row3 col1\" >-0.045</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow3_col2\" class=\"data row3 col2\" >-0.065</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow3_col3\" class=\"data row3 col3\" >1.0</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow3_col4\" class=\"data row3 col4\" >0.23</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow3_col5\" class=\"data row3 col5\" >0.065</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow3_col6\" class=\"data row3 col6\" >-0.11</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow3_col7\" class=\"data row3 col7\" >0.4</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow3_col8\" class=\"data row3 col8\" >-0.11</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow3_col9\" class=\"data row3 col9\" >-0.028</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow3_col10\" class=\"data row3 col10\" >0.02</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow3_col11\" class=\"data row3 col11\" >0.0083</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow3_col12\" class=\"data row3 col12\" >0.02</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow3_col13\" class=\"data row3 col13\" >-0.13</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow3_col14\" class=\"data row3 col14\" >-0.11</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow3_col15\" class=\"data row3 col15\" >-0.11</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow3_col16\" class=\"data row3 col16\" >-0.12</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow3_col17\" class=\"data row3 col17\" >0.0088</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6flevel0_row4\" class=\"row_heading level0 row4\" >roof_y</th>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow4_col0\" class=\"data row4 col0\" >0.13</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow4_col1\" class=\"data row4 col1\" >0.016</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow4_col2\" class=\"data row4 col2\" >-0.028</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow4_col3\" class=\"data row4 col3\" >0.23</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow4_col4\" class=\"data row4 col4\" >1.0</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow4_col5\" class=\"data row4 col5\" >-0.76</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow4_col6\" class=\"data row4 col6\" >-0.82</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow4_col7\" class=\"data row4 col7\" >0.14</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow4_col8\" class=\"data row4 col8\" >0.066</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow4_col9\" class=\"data row4 col9\" >0.051</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow4_col10\" class=\"data row4 col10\" >0.0053</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow4_col11\" class=\"data row4 col11\" >-0.0051</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow4_col12\" class=\"data row4 col12\" >-0.05</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow4_col13\" class=\"data row4 col13\" >0.038</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow4_col14\" class=\"data row4 col14\" >-0.012</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow4_col15\" class=\"data row4 col15\" >-0.043</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow4_col16\" class=\"data row4 col16\" >-0.022</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow4_col17\" class=\"data row4 col17\" >-0.14</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6flevel0_row5\" class=\"row_heading level0 row5\" >SIS</th>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow5_col0\" class=\"data row5 col0\" >-0.12</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow5_col1\" class=\"data row5 col1\" >0.0007</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow5_col2\" class=\"data row5 col2\" >0.011</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow5_col3\" class=\"data row5 col3\" >0.065</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow5_col4\" class=\"data row5 col4\" >-0.76</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow5_col5\" class=\"data row5 col5\" >1.0</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow5_col6\" class=\"data row5 col6\" >0.9</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow5_col7\" class=\"data row5 col7\" >0.2</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow5_col8\" class=\"data row5 col8\" >-0.11</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow5_col9\" class=\"data row5 col9\" >-0.072</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow5_col10\" class=\"data row5 col10\" >0.005</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow5_col11\" class=\"data row5 col11\" >0.011</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow5_col12\" class=\"data row5 col12\" >0.059</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow5_col13\" class=\"data row5 col13\" >-0.089</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow5_col14\" class=\"data row5 col14\" >-0.032</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow5_col15\" class=\"data row5 col15\" >0.0046</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow5_col16\" class=\"data row5 col16\" >-0.023</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow5_col17\" class=\"data row5 col17\" >0.22</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6flevel0_row6\" class=\"row_heading level0 row6\" >SISDIR</th>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow6_col0\" class=\"data row6 col0\" >-0.14</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow6_col1\" class=\"data row6 col1\" >-0.021</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow6_col2\" class=\"data row6 col2\" >0.025</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow6_col3\" class=\"data row6 col3\" >-0.11</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow6_col4\" class=\"data row6 col4\" >-0.82</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow6_col5\" class=\"data row6 col5\" >0.9</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow6_col6\" class=\"data row6 col6\" >1.0</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow6_col7\" class=\"data row6 col7\" >-0.25</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow6_col8\" class=\"data row6 col8\" >-0.087</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow6_col9\" class=\"data row6 col9\" >-0.068</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow6_col10\" class=\"data row6 col10\" >-0.023</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow6_col11\" class=\"data row6 col11\" >-0.031</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow6_col12\" class=\"data row6 col12\" >0.021</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow6_col13\" class=\"data row6 col13\" >-0.059</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow6_col14\" class=\"data row6 col14\" >-0.015</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow6_col15\" class=\"data row6 col15\" >0.0087</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow6_col16\" class=\"data row6 col16\" >-0.01</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow6_col17\" class=\"data row6 col17\" >0.2</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6flevel0_row7\" class=\"row_heading level0 row7\" >DHI</th>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow7_col0\" class=\"data row7 col0\" >0.044</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow7_col1\" class=\"data row7 col1\" >0.048</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow7_col2\" class=\"data row7 col2\" >-0.031</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow7_col3\" class=\"data row7 col3\" >0.4</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow7_col4\" class=\"data row7 col4\" >0.14</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow7_col5\" class=\"data row7 col5\" >0.2</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow7_col6\" class=\"data row7 col6\" >-0.25</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow7_col7\" class=\"data row7 col7\" >1.0</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow7_col8\" class=\"data row7 col8\" >-0.042</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow7_col9\" class=\"data row7 col9\" >-0.008</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow7_col10\" class=\"data row7 col10\" >0.064</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow7_col11\" class=\"data row7 col11\" >0.094</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow7_col12\" class=\"data row7 col12\" >0.083</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow7_col13\" class=\"data row7 col13\" >-0.066</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow7_col14\" class=\"data row7 col14\" >-0.036</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow7_col15\" class=\"data row7 col15\" >-0.0093</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow7_col16\" class=\"data row7 col16\" >-0.027</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow7_col17\" class=\"data row7 col17\" >0.033</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6flevel0_row8\" class=\"row_heading level0 row8\" >horizon_S</th>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow8_col0\" class=\"data row8 col0\" >0.11</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow8_col1\" class=\"data row8 col1\" >-0.0016</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow8_col2\" class=\"data row8 col2\" >-0.021</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow8_col3\" class=\"data row8 col3\" >-0.11</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow8_col4\" class=\"data row8 col4\" >0.066</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow8_col5\" class=\"data row8 col5\" >-0.11</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow8_col6\" class=\"data row8 col6\" >-0.087</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow8_col7\" class=\"data row8 col7\" >-0.042</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow8_col8\" class=\"data row8 col8\" >1.0</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow8_col9\" class=\"data row8 col9\" >0.71</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow8_col10\" class=\"data row8 col10\" >0.3</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow8_col11\" class=\"data row8 col11\" >0.17</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow8_col12\" class=\"data row8 col12\" >-0.073</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow8_col13\" class=\"data row8 col13\" >0.9</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow8_col14\" class=\"data row8 col14\" >0.55</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow8_col15\" class=\"data row8 col15\" >0.2</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow8_col16\" class=\"data row8 col16\" >0.14</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow8_col17\" class=\"data row8 col17\" >-0.58</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6flevel0_row9\" class=\"row_heading level0 row9\" >horizon_SSW</th>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow9_col0\" class=\"data row9 col0\" >0.061</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow9_col1\" class=\"data row9 col1\" >-0.22</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow9_col2\" class=\"data row9 col2\" >-0.023</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow9_col3\" class=\"data row9 col3\" >-0.028</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow9_col4\" class=\"data row9 col4\" >0.051</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow9_col5\" class=\"data row9 col5\" >-0.072</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow9_col6\" class=\"data row9 col6\" >-0.068</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow9_col7\" class=\"data row9 col7\" >-0.008</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow9_col8\" class=\"data row9 col8\" >0.71</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow9_col9\" class=\"data row9 col9\" >1.0</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow9_col10\" class=\"data row9 col10\" >0.7</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow9_col11\" class=\"data row9 col11\" >0.53</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow9_col12\" class=\"data row9 col12\" >0.17</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow9_col13\" class=\"data row9 col13\" >0.57</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow9_col14\" class=\"data row9 col14\" >0.17</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow9_col15\" class=\"data row9 col15\" >-0.086</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow9_col16\" class=\"data row9 col16\" >-0.096</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow9_col17\" class=\"data row9 col17\" >-0.48</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6flevel0_row10\" class=\"row_heading level0 row10\" >horizon_SWW</th>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow10_col0\" class=\"data row10 col0\" >-0.0059</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow10_col1\" class=\"data row10 col1\" >-0.29</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow10_col2\" class=\"data row10 col2\" >-0.043</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow10_col3\" class=\"data row10 col3\" >0.02</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow10_col4\" class=\"data row10 col4\" >0.0053</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow10_col5\" class=\"data row10 col5\" >0.005</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow10_col6\" class=\"data row10 col6\" >-0.023</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow10_col7\" class=\"data row10 col7\" >0.064</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow10_col8\" class=\"data row10 col8\" >0.3</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow10_col9\" class=\"data row10 col9\" >0.7</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow10_col10\" class=\"data row10 col10\" >1.0</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow10_col11\" class=\"data row10 col11\" >0.87</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow10_col12\" class=\"data row10 col12\" >0.56</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow10_col13\" class=\"data row10 col13\" >0.18</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow10_col14\" class=\"data row10 col14\" >-0.11</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow10_col15\" class=\"data row10 col15\" >-0.24</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow10_col16\" class=\"data row10 col16\" >-0.22</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow10_col17\" class=\"data row10 col17\" >-0.25</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6flevel0_row11\" class=\"row_heading level0 row11\" >horizon_W</th>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow11_col0\" class=\"data row11 col0\" >-0.036</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow11_col1\" class=\"data row11 col1\" >-0.26</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow11_col2\" class=\"data row11 col2\" >-0.039</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow11_col3\" class=\"data row11 col3\" >0.0083</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow11_col4\" class=\"data row11 col4\" >-0.0051</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow11_col5\" class=\"data row11 col5\" >0.011</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow11_col6\" class=\"data row11 col6\" >-0.031</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow11_col7\" class=\"data row11 col7\" >0.094</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow11_col8\" class=\"data row11 col8\" >0.17</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow11_col9\" class=\"data row11 col9\" >0.53</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow11_col10\" class=\"data row11 col10\" >0.87</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow11_col11\" class=\"data row11 col11\" >1.0</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow11_col12\" class=\"data row11 col12\" >0.71</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow11_col13\" class=\"data row11 col13\" >0.073</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow11_col14\" class=\"data row11 col14\" >-0.16</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow11_col15\" class=\"data row11 col15\" >-0.24</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow11_col16\" class=\"data row11 col16\" >-0.21</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow11_col17\" class=\"data row11 col17\" >-0.19</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6flevel0_row12\" class=\"row_heading level0 row12\" >horizon_NWW</th>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow12_col0\" class=\"data row12 col0\" >-0.097</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow12_col1\" class=\"data row12 col1\" >-0.13</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow12_col2\" class=\"data row12 col2\" >-0.034</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow12_col3\" class=\"data row12 col3\" >0.02</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow12_col4\" class=\"data row12 col4\" >-0.05</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow12_col5\" class=\"data row12 col5\" >0.059</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow12_col6\" class=\"data row12 col6\" >0.021</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow12_col7\" class=\"data row12 col7\" >0.083</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow12_col8\" class=\"data row12 col8\" >-0.073</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow12_col9\" class=\"data row12 col9\" >0.17</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow12_col10\" class=\"data row12 col10\" >0.56</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow12_col11\" class=\"data row12 col11\" >0.71</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow12_col12\" class=\"data row12 col12\" >1.0</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow12_col13\" class=\"data row12 col13\" >-0.14</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow12_col14\" class=\"data row12 col14\" >-0.2</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow12_col15\" class=\"data row12 col15\" >-0.15</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow12_col16\" class=\"data row12 col16\" >-0.081</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow12_col17\" class=\"data row12 col17\" >-0.014</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6flevel0_row13\" class=\"row_heading level0 row13\" >horizon_SSE</th>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow13_col0\" class=\"data row13 col0\" >0.1</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow13_col1\" class=\"data row13 col1\" >0.052</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow13_col2\" class=\"data row13 col2\" >-0.01</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow13_col3\" class=\"data row13 col3\" >-0.13</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow13_col4\" class=\"data row13 col4\" >0.038</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow13_col5\" class=\"data row13 col5\" >-0.089</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow13_col6\" class=\"data row13 col6\" >-0.059</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow13_col7\" class=\"data row13 col7\" >-0.066</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow13_col8\" class=\"data row13 col8\" >0.9</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow13_col9\" class=\"data row13 col9\" >0.57</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow13_col10\" class=\"data row13 col10\" >0.18</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow13_col11\" class=\"data row13 col11\" >0.073</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow13_col12\" class=\"data row13 col12\" >-0.14</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow13_col13\" class=\"data row13 col13\" >1.0</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow13_col14\" class=\"data row13 col14\" >0.7</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow13_col15\" class=\"data row13 col15\" >0.31</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow13_col16\" class=\"data row13 col16\" >0.23</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow13_col17\" class=\"data row13 col17\" >-0.56</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6flevel0_row14\" class=\"row_heading level0 row14\" >horizon_SEE</th>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow14_col0\" class=\"data row14 col0\" >0.031</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow14_col1\" class=\"data row14 col1\" >0.31</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow14_col2\" class=\"data row14 col2\" >0.01</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow14_col3\" class=\"data row14 col3\" >-0.11</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow14_col4\" class=\"data row14 col4\" >-0.012</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow14_col5\" class=\"data row14 col5\" >-0.032</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow14_col6\" class=\"data row14 col6\" >-0.015</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow14_col7\" class=\"data row14 col7\" >-0.036</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow14_col8\" class=\"data row14 col8\" >0.55</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow14_col9\" class=\"data row14 col9\" >0.17</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow14_col10\" class=\"data row14 col10\" >-0.11</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow14_col11\" class=\"data row14 col11\" >-0.16</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow14_col12\" class=\"data row14 col12\" >-0.2</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow14_col13\" class=\"data row14 col13\" >0.7</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow14_col14\" class=\"data row14 col14\" >1.0</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow14_col15\" class=\"data row14 col15\" >0.74</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow14_col16\" class=\"data row14 col16\" >0.62</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow14_col17\" class=\"data row14 col17\" >-0.39</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6flevel0_row15\" class=\"row_heading level0 row15\" >horizon_E</th>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow15_col0\" class=\"data row15 col0\" >0.047</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow15_col1\" class=\"data row15 col1\" >0.37</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow15_col2\" class=\"data row15 col2\" >-0.0064</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow15_col3\" class=\"data row15 col3\" >-0.11</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow15_col4\" class=\"data row15 col4\" >-0.043</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow15_col5\" class=\"data row15 col5\" >0.0046</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow15_col6\" class=\"data row15 col6\" >0.0087</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow15_col7\" class=\"data row15 col7\" >-0.0093</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow15_col8\" class=\"data row15 col8\" >0.2</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow15_col9\" class=\"data row15 col9\" >-0.086</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow15_col10\" class=\"data row15 col10\" >-0.24</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow15_col11\" class=\"data row15 col11\" >-0.24</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow15_col12\" class=\"data row15 col12\" >-0.15</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow15_col13\" class=\"data row15 col13\" >0.31</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow15_col14\" class=\"data row15 col14\" >0.74</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow15_col15\" class=\"data row15 col15\" >1.0</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow15_col16\" class=\"data row15 col16\" >0.89</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow15_col17\" class=\"data row15 col17\" >-0.13</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6flevel0_row16\" class=\"row_heading level0 row16\" >horizon_NEE</th>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow16_col0\" class=\"data row16 col0\" >0.031</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow16_col1\" class=\"data row16 col1\" >0.35</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow16_col2\" class=\"data row16 col2\" >-0.017</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow16_col3\" class=\"data row16 col3\" >-0.12</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow16_col4\" class=\"data row16 col4\" >-0.022</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow16_col5\" class=\"data row16 col5\" >-0.023</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow16_col6\" class=\"data row16 col6\" >-0.01</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow16_col7\" class=\"data row16 col7\" >-0.027</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow16_col8\" class=\"data row16 col8\" >0.14</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow16_col9\" class=\"data row16 col9\" >-0.096</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow16_col10\" class=\"data row16 col10\" >-0.22</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow16_col11\" class=\"data row16 col11\" >-0.21</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow16_col12\" class=\"data row16 col12\" >-0.081</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow16_col13\" class=\"data row16 col13\" >0.23</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow16_col14\" class=\"data row16 col14\" >0.62</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow16_col15\" class=\"data row16 col15\" >0.89</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow16_col16\" class=\"data row16 col16\" >1.0</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow16_col17\" class=\"data row16 col17\" >-0.089</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6flevel0_row17\" class=\"row_heading level0 row17\" >tilted_radiation</th>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow17_col0\" class=\"data row17 col0\" >-0.17</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow17_col1\" class=\"data row17 col1\" >-0.036</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow17_col2\" class=\"data row17 col2\" >0.028</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow17_col3\" class=\"data row17 col3\" >0.0088</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow17_col4\" class=\"data row17 col4\" >-0.14</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow17_col5\" class=\"data row17 col5\" >0.22</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow17_col6\" class=\"data row17 col6\" >0.2</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow17_col7\" class=\"data row17 col7\" >0.033</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow17_col8\" class=\"data row17 col8\" >-0.58</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow17_col9\" class=\"data row17 col9\" >-0.48</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow17_col10\" class=\"data row17 col10\" >-0.25</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow17_col11\" class=\"data row17 col11\" >-0.19</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow17_col12\" class=\"data row17 col12\" >-0.014</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow17_col13\" class=\"data row17 col13\" >-0.56</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow17_col14\" class=\"data row17 col14\" >-0.39</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow17_col15\" class=\"data row17 col15\" >-0.13</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow17_col16\" class=\"data row17 col16\" >-0.089</td>\n",
" <td id=\"T_b7942518_55cf_11eb_b7ec_8c85902f5b6frow17_col17\" class=\"data row17 col17\" >1.0</td>\n",
" </tr>\n",
" </tbody></table>"
],
"text/plain": [
"<pandas.io.formats.style.Styler at 0x7fe8270cffd0>"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Compute the correlation between variables\n",
"correlation_matrix = data.corr()\n",
"correlation_matrix.style.background_gradient(cmap='coolwarm', vmin = -1, vmax = 1).format(\"{:.2}\") # Formatting"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## *Questions*\n",
"- a. The corrlation matrix shows a strong negative correlation between the y-coordinate of the roof (roof_y) and SIS/SISDIR. Can you explain why? Why do we see no such correlation for roof_x?\n",
"- b. The correlation matrix also shows two correlated \"blocks\" of the horizon values. What causes these blocks and what does that imply for the model?\n",
"- c. Which are the five variables with the strongest correlation to the target variable? Which are the five variables with the smallest correlation?"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### *SOLUTION*\n",
"- a. The strong correlation is due to the fact that the y-coordinate represents the northern *latitude*, which determines the maximum solar angle and the total daylight hours; this influences the global and direct horizontal radiation - the further north we are, the lower the horizontal radiation. The roof_x is the *longitude*, which impacts the annual radiation to a much lesser extent.\n",
"- b. The two \"blocks\" are formed around the east and west horizon values, i.e. the horizon values for eastern azimuths are strongly positively correlated, and are slightly negatively correlated to the horizon values for western azimuths. The strong positive correlation suggests that we don't need *all* the horizon values, but a subset would suffice.\n",
"- c. The strongest correlation with the target is observed for the horizon values for **S, SSE, SSW, SEE and SWW**. The smallest correlation is seen for **roof_x, horizon_NWW, roof_area, DHI and roof_aspect**.<br>**NOTE**: Just because the 5 horizons have the highest correlation, it does not mean that these are the best features to select!"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Step 1.3 - Visualising features vs. targets "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"To start, we set up the matplotlib interactive plotting:"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
"%matplotlib notebook\n",
"import matplotlib.pyplot as plt"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"and define the list of features and the target, to know what to plot against each other:"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
"target_name = 'tilted_radiation'\n",
"features_list = [ 'roof_tilt', 'roof_aspect', 'roof_area', 'roof_x', 'roof_y', 'SIS',\n",
" 'SISDIR', 'DHI', 'horizon_S', 'horizon_SSW', 'horizon_SWW', 'horizon_W',\n",
" 'horizon_NWW', 'horizon_SSE', 'horizon_SEE', 'horizon_E', 'horizon_NEE',]"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Now, we can create scatterplots of all features against the target:"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {
"scrolled": false
},
"outputs": [
{
"data": {
"application/javascript": [
"/* Put everything inside the global mpl namespace */\n",
"/* global mpl */\n",
"window.mpl = {};\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(\n",
" '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",
"\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 = document.createElement('div');\n",
" this.root.setAttribute('style', 'display: inline-block');\n",
" this._root_extra_style(this.root);\n",
"\n",
" parent_element.appendChild(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 (fig.ratio !== 1) {\n",
" fig.send_message('set_dpi_ratio', { dpi_ratio: fig.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 = document.createElement('div');\n",
" titlebar.classList =\n",
" 'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
" var titletext = document.createElement('div');\n",
" titletext.classList = 'ui-dialog-title';\n",
" titletext.setAttribute(\n",
" 'style',\n",
" 'width: 100%; text-align: center; padding: 3px;'\n",
" );\n",
" titlebar.appendChild(titletext);\n",
" this.root.appendChild(titlebar);\n",
" this.header = titletext;\n",
"};\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
"\n",
"mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
"\n",
"mpl.figure.prototype._init_canvas = function () {\n",
" var fig = this;\n",
"\n",
" var canvas_div = (this.canvas_div = document.createElement('div'));\n",
" canvas_div.setAttribute(\n",
" 'style',\n",
" 'border: 1px solid #ddd;' +\n",
" 'box-sizing: content-box;' +\n",
" 'clear: both;' +\n",
" 'min-height: 1px;' +\n",
" 'min-width: 1px;' +\n",
" 'outline: 0;' +\n",
" 'overflow: hidden;' +\n",
" 'position: relative;' +\n",
" 'resize: both;'\n",
" );\n",
"\n",
" function on_keyboard_event_closure(name) {\n",
" return function (event) {\n",
" return fig.key_event(event, name);\n",
" };\n",
" }\n",
"\n",
" canvas_div.addEventListener(\n",
" 'keydown',\n",
" on_keyboard_event_closure('key_press')\n",
" );\n",
" canvas_div.addEventListener(\n",
" 'keyup',\n",
" on_keyboard_event_closure('key_release')\n",
" );\n",
"\n",
" this._canvas_extra_style(canvas_div);\n",
" this.root.appendChild(canvas_div);\n",
"\n",
" var canvas = (this.canvas = document.createElement('canvas'));\n",
" canvas.classList.add('mpl-canvas');\n",
" canvas.setAttribute('style', 'box-sizing: content-box;');\n",
"\n",
" this.context = canvas.getContext('2d');\n",
"\n",
" var backingStore =\n",
" this.context.backingStorePixelRatio ||\n",
" this.context.webkitBackingStorePixelRatio ||\n",
" this.context.mozBackingStorePixelRatio ||\n",
" this.context.msBackingStorePixelRatio ||\n",
" this.context.oBackingStorePixelRatio ||\n",
" this.context.backingStorePixelRatio ||\n",
" 1;\n",
"\n",
" this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
" if (this.ratio !== 1) {\n",
" fig.send_message('set_dpi_ratio', { dpi_ratio: this.ratio });\n",
" }\n",
"\n",
" var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
" 'canvas'\n",
" ));\n",
" rubberband_canvas.setAttribute(\n",
" 'style',\n",
" 'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
" );\n",
"\n",
" var resizeObserver = new ResizeObserver(function (entries) {\n",
" var nentries = entries.length;\n",
" for (var i = 0; i < nentries; i++) {\n",
" var entry = entries[i];\n",
" var width, height;\n",
" if (entry.contentBoxSize) {\n",
" if (entry.contentBoxSize instanceof Array) {\n",
" // Chrome 84 implements new version of spec.\n",
" width = entry.contentBoxSize[0].inlineSize;\n",
" height = entry.contentBoxSize[0].blockSize;\n",
" } else {\n",
" // Firefox implements old version of spec.\n",
" width = entry.contentBoxSize.inlineSize;\n",
" height = entry.contentBoxSize.blockSize;\n",
" }\n",
" } else {\n",
" // Chrome <84 implements even older version of spec.\n",
" width = entry.contentRect.width;\n",
" height = entry.contentRect.height;\n",
" }\n",
"\n",
" // Keep the size of the canvas and rubber band canvas in sync with\n",
" // the canvas container.\n",
" if (entry.devicePixelContentBoxSize) {\n",
" // Chrome 84 implements new version of spec.\n",
" canvas.setAttribute(\n",
" 'width',\n",
" entry.devicePixelContentBoxSize[0].inlineSize\n",
" );\n",
" canvas.setAttribute(\n",
" 'height',\n",
" entry.devicePixelContentBoxSize[0].blockSize\n",
" );\n",
" } else {\n",
" canvas.setAttribute('width', width * fig.ratio);\n",
" canvas.setAttribute('height', height * fig.ratio);\n",
" }\n",
" canvas.setAttribute(\n",
" 'style',\n",
" 'width: ' + width + 'px; height: ' + height + 'px;'\n",
" );\n",
"\n",
" rubberband_canvas.setAttribute('width', width);\n",
" rubberband_canvas.setAttribute('height', height);\n",
"\n",
" // And update the size in Python. We ignore the initial 0/0 size\n",
" // that occurs as the element is placed into the DOM, which should\n",
" // otherwise not happen due to the minimum size styling.\n",
" if (width != 0 && height != 0) {\n",
" fig.request_resize(width, height);\n",
" }\n",
" }\n",
" });\n",
" resizeObserver.observe(canvas_div);\n",
"\n",
" function on_mouse_event_closure(name) {\n",
" return function (event) {\n",
" return fig.mouse_event(event, name);\n",
" };\n",
" }\n",
"\n",
" rubberband_canvas.addEventListener(\n",
" 'mousedown',\n",
" on_mouse_event_closure('button_press')\n",
" );\n",
" rubberband_canvas.addEventListener(\n",
" 'mouseup',\n",
" on_mouse_event_closure('button_release')\n",
" );\n",
" // Throttle sequential mouse events to 1 every 20ms.\n",
" rubberband_canvas.addEventListener(\n",
" 'mousemove',\n",
" on_mouse_event_closure('motion_notify')\n",
" );\n",
"\n",
" rubberband_canvas.addEventListener(\n",
" 'mouseenter',\n",
" on_mouse_event_closure('figure_enter')\n",
" );\n",
" rubberband_canvas.addEventListener(\n",
" 'mouseleave',\n",
" on_mouse_event_closure('figure_leave')\n",
" );\n",
"\n",
" canvas_div.addEventListener('wheel', function (event) {\n",
" if (event.deltaY < 0) {\n",
" event.step = 1;\n",
" } else {\n",
" event.step = -1;\n",
" }\n",
" on_mouse_event_closure('scroll')(event);\n",
" });\n",
"\n",
" canvas_div.appendChild(canvas);\n",
" canvas_div.appendChild(rubberband_canvas);\n",
"\n",
" this.rubberband_context = rubberband_canvas.getContext('2d');\n",
" this.rubberband_context.strokeStyle = '#000000';\n",
"\n",
" this._resize_canvas = function (width, height, forward) {\n",
" if (forward) {\n",
" canvas_div.style.width = width + 'px';\n",
" canvas_div.style.height = height + 'px';\n",
" }\n",
" };\n",
"\n",
" // Disable right mouse context menu.\n",
" this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
" event.preventDefault();\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 toolbar = document.createElement('div');\n",
" toolbar.classList = 'mpl-toolbar';\n",
" this.root.appendChild(toolbar);\n",
"\n",
" function on_click_closure(name) {\n",
" return function (_event) {\n",
" return fig.toolbar_button_onclick(name);\n",
" };\n",
" }\n",
"\n",
" function on_mouseover_closure(tooltip) {\n",
" return function (event) {\n",
" if (!event.currentTarget.disabled) {\n",
" return fig.toolbar_button_onmouseover(tooltip);\n",
" }\n",
" };\n",
" }\n",
"\n",
" fig.buttons = {};\n",
" var buttonGroup = document.createElement('div');\n",
" buttonGroup.classList = 'mpl-button-group';\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",
" /* Instead of a spacer, we start a new button group. */\n",
" if (buttonGroup.hasChildNodes()) {\n",
" toolbar.appendChild(buttonGroup);\n",
" }\n",
" buttonGroup = document.createElement('div');\n",
" buttonGroup.classList = 'mpl-button-group';\n",
" continue;\n",
" }\n",
"\n",
" var button = (fig.buttons[name] = document.createElement('button'));\n",
" button.classList = 'mpl-widget';\n",
" button.setAttribute('role', 'button');\n",
" button.setAttribute('aria-disabled', 'false');\n",
" button.addEventListener('click', on_click_closure(method_name));\n",
" button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
"\n",
" var icon_img = document.createElement('img');\n",
" icon_img.src = '_images/' + image + '.png';\n",
" icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
" icon_img.alt = tooltip;\n",
" button.appendChild(icon_img);\n",
"\n",
" buttonGroup.appendChild(button);\n",
" }\n",
"\n",
" if (buttonGroup.hasChildNodes()) {\n",
" toolbar.appendChild(buttonGroup);\n",
" }\n",
"\n",
" var fmt_picker = document.createElement('select');\n",
" fmt_picker.classList = 'mpl-widget';\n",
" toolbar.appendChild(fmt_picker);\n",
" this.format_dropdown = fmt_picker;\n",
"\n",
" for (var ind in mpl.extensions) {\n",
" var fmt = mpl.extensions[ind];\n",
" var option = document.createElement('option');\n",
" option.selected = fmt === mpl.default_extension;\n",
" option.innerHTML = fmt;\n",
" fmt_picker.appendChild(option);\n",
" }\n",
"\n",
" var status_bar = document.createElement('span');\n",
" status_bar.classList = 'mpl-message';\n",
" toolbar.appendChild(status_bar);\n",
" this.message = status_bar;\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",
"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",
"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], msg['forward']);\n",
" fig.send_message('refresh', {});\n",
" }\n",
"};\n",
"\n",
"mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
" var x0 = msg['x0'] / fig.ratio;\n",
" var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
" var x1 = msg['x1'] / fig.ratio;\n",
" var y1 = (fig.canvas.height - msg['y1']) / fig.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,\n",
" 0,\n",
" fig.canvas.width / fig.ratio,\n",
" fig.canvas.height / fig.ratio\n",
" );\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",
" 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.handle_history_buttons = function (fig, msg) {\n",
" for (var key in msg) {\n",
" if (!(key in fig.buttons)) {\n",
" continue;\n",
" }\n",
" fig.buttons[key].disabled = !msg[key];\n",
" fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
" }\n",
"};\n",
"\n",
"mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
" if (msg['mode'] === 'PAN') {\n",
" fig.buttons['Pan'].classList.add('active');\n",
" fig.buttons['Zoom'].classList.remove('active');\n",
" } else if (msg['mode'] === 'ZOOM') {\n",
" fig.buttons['Pan'].classList.remove('active');\n",
" fig.buttons['Zoom'].classList.add('active');\n",
" } else {\n",
" fig.buttons['Pan'].classList.remove('active');\n",
" fig.buttons['Zoom'].classList.remove('active');\n",
" }\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",
"\n",
" fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
" evt.data\n",
" );\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" } else if (\n",
" typeof evt.data === 'string' &&\n",
" evt.data.slice(0, 21) === 'data:image/png;base64'\n",
" ) {\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(\n",
" \"No handler for the '\" + msg_type + \"' message type: \",\n",
" msg\n",
" );\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(\n",
" \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
" e,\n",
" e.stack,\n",
" msg\n",
" );\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",
" }\n",
" if (e.target) {\n",
" targ = e.target;\n",
" } else if (e.srcElement) {\n",
" targ = e.srcElement;\n",
" }\n",
" if (targ.nodeType === 3) {\n",
" // defeat Safari bug\n",
" targ = targ.parentNode;\n",
" }\n",
"\n",
" // pageX,Y are the mouse positions relative to the document\n",
" var boundingRect = targ.getBoundingClientRect();\n",
" var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
" var y = e.pageY - (boundingRect.top + document.body.scrollTop);\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",
" }\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",
" this.canvas.focus();\n",
" this.canvas_div.focus();\n",
" }\n",
"\n",
" var x = canvas_pos.x * this.ratio;\n",
" var y = canvas_pos.y * this.ratio;\n",
"\n",
" this.send_message(name, {\n",
" x: x,\n",
" y: y,\n",
" button: event.button,\n",
" step: event.step,\n",
" guiEvent: simpleKeys(event),\n",
" });\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",
" // Prevent repeat events\n",
" if (name === 'key_press') {\n",
" if (event.which === this._key) {\n",
" return;\n",
" } else {\n",
" this._key = event.which;\n",
" }\n",
" }\n",
" if (name === 'key_release') {\n",
" this._key = null;\n",
" }\n",
"\n",
" var value = '';\n",
" if (event.ctrlKey && event.which !== 17) {\n",
" value += 'ctrl+';\n",
" }\n",
" if (event.altKey && event.which !== 18) {\n",
" value += 'alt+';\n",
" }\n",
" if (event.shiftKey && event.which !== 16) {\n",
" value += 'shift+';\n",
" }\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, 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\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"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\";/* global mpl */\n",
"\n",
"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 = document.getElementById(id);\n",
" var ws_proxy = comm_websocket_adapter(comm);\n",
"\n",
" function ondownload(figure, _format) {\n",
" window.open(figure.canvas.toDataURL());\n",
" }\n",
"\n",
" var fig = new mpl.figure(id, ws_proxy, ondownload, element);\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;\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",
" fig.cell_info[0].output_area.element.one(\n",
" 'cleared',\n",
" { fig: fig },\n",
" fig._remove_fig_handler\n",
" );\n",
"};\n",
"\n",
"mpl.figure.prototype.handle_close = function (fig, msg) {\n",
" var width = fig.canvas.width / fig.ratio;\n",
" fig.cell_info[0].output_area.element.off(\n",
" 'cleared',\n",
" fig._remove_fig_handler\n",
" );\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.innerHTML =\n",
" '<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 / this.ratio;\n",
" var dataURL = this.canvas.toDataURL();\n",
" this.cell_info[1]['text/html'] =\n",
" '<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 () {\n",
" fig.push_to_output();\n",
" }, 1000);\n",
"};\n",
"\n",
"mpl.figure.prototype._init_toolbar = function () {\n",
" var fig = this;\n",
"\n",
" var toolbar = document.createElement('div');\n",
" toolbar.classList = 'btn-toolbar';\n",
" this.root.appendChild(toolbar);\n",
"\n",
" function on_click_closure(name) {\n",
" return function (_event) {\n",
" return fig.toolbar_button_onclick(name);\n",
" };\n",
" }\n",
"\n",
" function on_mouseover_closure(tooltip) {\n",
" return function (event) {\n",
" if (!event.currentTarget.disabled) {\n",
" return fig.toolbar_button_onmouseover(tooltip);\n",
" }\n",
" };\n",
" }\n",
"\n",
" fig.buttons = {};\n",
" var buttonGroup = document.createElement('div');\n",
" buttonGroup.classList = 'btn-group';\n",
" var button;\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",
" /* Instead of a spacer, we start a new button group. */\n",
" if (buttonGroup.hasChildNodes()) {\n",
" toolbar.appendChild(buttonGroup);\n",
" }\n",
" buttonGroup = document.createElement('div');\n",
" buttonGroup.classList = 'btn-group';\n",
" continue;\n",
" }\n",
"\n",
" button = fig.buttons[name] = document.createElement('button');\n",
" button.classList = 'btn btn-default';\n",
" button.href = '#';\n",
" button.title = name;\n",
" button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
" button.addEventListener('click', on_click_closure(method_name));\n",
" button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
" buttonGroup.appendChild(button);\n",
" }\n",
"\n",
" if (buttonGroup.hasChildNodes()) {\n",
" toolbar.appendChild(buttonGroup);\n",
" }\n",
"\n",
" // Add the status bar.\n",
" var status_bar = document.createElement('span');\n",
" status_bar.classList = 'mpl-message pull-right';\n",
" toolbar.appendChild(status_bar);\n",
" this.message = status_bar;\n",
"\n",
" // Add the close button to the window.\n",
" var buttongrp = document.createElement('div');\n",
" buttongrp.classList = 'btn-group inline pull-right';\n",
" button = document.createElement('button');\n",
" button.classList = 'btn btn-mini btn-primary';\n",
" button.href = '#';\n",
" button.title = 'Stop Interaction';\n",
" button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
" button.addEventListener('click', function (_evt) {\n",
" fig.handle_close(fig, {});\n",
" });\n",
" button.addEventListener(\n",
" 'mouseover',\n",
" on_mouseover_closure('Stop Interaction')\n",
" );\n",
" buttongrp.appendChild(button);\n",
" var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
" titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
"};\n",
"\n",
"mpl.figure.prototype._remove_fig_handler = function (event) {\n",
" var fig = event.data.fig;\n",
" fig.close_ws(fig, {});\n",
"};\n",
"\n",
"mpl.figure.prototype._root_extra_style = function (el) {\n",
" el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
"};\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function (el) {\n",
" // this is important to make the div 'focusable\n",
" el.setAttribute('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",
" } else {\n",
" // location in version 2\n",
" IPython.keyboard_manager.register_events(el);\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",
"\n",
" // Check for shift+enter\n",
" if (event.shiftKey && event.which === 13) {\n",
" this.canvas_div.blur();\n",
" // select the cell after this one\n",
" var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
" IPython.notebook.select(index + 1);\n",
" }\n",
"};\n",
"\n",
"mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
" fig.ondownload(fig, null);\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(\n",
" 'matplotlib',\n",
" mpl.mpl_figure_comm\n",
" );\n",
"}\n"
],
"text/plain": [
"<IPython.core.display.Javascript object>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"<img src=\"data:image/png;base64,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\" width=\"999.9999783255842\">"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Create figure\n",
"fig, axes = plt.subplots(5,4, sharey = True, figsize = (10,10))\n",
"ax = axes.flatten()\n",
"for i, feature in enumerate(features_list):\n",
" data.plot.scatter(x = feature, y = target_name, ax = ax[i], s = 2) # Plot feature against target\n",
" # Format figure:\n",
" ax[i].set_xlabel('')\n",
" ax[i].set_title(feature)\n",
" ax[i].grid(ls = '--')\n",
" \n",
" # For the roof area only, show the x-axis with logarithmic values:\n",
" if feature == 'roof_area': ax[i].set_xscale('log')\n",
"for j in range(i+1, len(ax)): ax[j].axis('off') # deactivate unused sub-axes\n",
"plt.tight_layout()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## *Questions*\n",
"- a. Based on the scatterplots, which variable shows the strongest relatioship with the target?\n",
"- b. What is the correlation coefficient between this varialbe and the target?\n",
"- c. How do you explain the discrepancy, and what does this mean for the modelling?\n",
"- d. Can you think of a way to transform this variable in order to increase its correlation coefficient?\n",
"- e. For the other 4 features with the smallest correlation to the target from Step 1.2, do you observe a similar discrepancy or are the correlation coefficients confirmed by the plots?"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### *SOLUTION*\n",
"- a. The scatterplots suggests that the tilted radiation depends strongly on the *__roof aspect__*. This does not come as a surprise; north-facing roofs receive less solar radiation than south-facing roofs.\n",
"- b. The correlation coefficient of the roof aspect is **-0.036**, making it one of the *lowest* coefficients in the dataset.\n",
"- c. The relationship of the roof_aspect to the tilted radiation is highly **non-linear** (rather quadratic). Consequently, the measure of *linear correlation* is low. This is an important pitfall of using correlation coefficients to measure the importance of features for the modelling. We should hence always cross-check the scatterplots.\n",
"- d. We could transform the roof aspect by dividing it into two features: *abs(roof_aspect)* and *sign(roof_aspect)*. This would help to *linearize* thia feature, and can significantly improve the performance of the linear regression that we have seen in Tutorial 1. Some estimators do not require linear features, but in some cases this kind of **feature transformation** can significantly improve model performance.\n",
"- e. In the other 4 cases (roof_x, horizon_NWW, roof_area, DHI), the low correlation coefficient is confirmed by a near-random scatterplot."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Step 1.4 - Feature transformation\n",
"Let's transform the data in this way by computing first the sign and then replacing the roof aspect by it's absolute value:"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [],
"source": [
"# SOLUTION\n",
"data['aspect_sign'] = np.sign(data['roof_aspect']) ## Compute the sign of the roof_aspect\n",
"data['roof_aspect'] = abs(data['roof_aspect']) ## Compute the absolute value of the roof_aspect"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"We can check the correlation coefficient of the new features with the tilted radiation by using the `corrwith` function, and will see that it is much improved and that the roof_aspect becomes the *most important feature*:"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {
"scrolled": false
},
"outputs": [
{
"data": {
"text/plain": [
"roof_aspect -0.648147\n",
"aspect_sign -0.037462\n",
"dtype: float64"
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"data[['roof_aspect', 'aspect_sign']].corrwith(data['tilted_radiation'])"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Finally, we need to add the new feature `aspect_sign` to the feature list:"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [],
"source": [
"# SOLUTION\n",
"features_list = [ 'roof_tilt', 'roof_aspect', 'roof_area', 'roof_x', 'roof_y', 'aspect_sign', 'SIS',\n",
" 'SISDIR', 'DHI', 'horizon_S', 'horizon_SSW', 'horizon_SWW', 'horizon_W',\n",
" 'horizon_NWW', 'horizon_SSE', 'horizon_SEE', 'horizon_E', 'horizon_NEE',]"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Step 1.5 - Mutual information"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [],
"source": [
"from sklearn.feature_selection import mutual_info_regression"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"By splitting the data into target (y) and features (X), we can call the function and display it as a pandas dataframe:"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [],
"source": [
"# SOLUTION\n",
"y = data[ target_name ] # Extract the target column\n",
"X = data[ features_list ] # Extract the list of all features "
]
},
{
"cell_type": "code",
"execution_count": 12,
"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>Mutual_info</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>roof_aspect</th>\n",
" <td>0.605287</td>\n",
" </tr>\n",
" <tr>\n",
" <th>horizon_S</th>\n",
" <td>0.222695</td>\n",
" </tr>\n",
" <tr>\n",
" <th>roof_tilt</th>\n",
" <td>0.181772</td>\n",
" </tr>\n",
" <tr>\n",
" <th>horizon_SSW</th>\n",
" <td>0.173842</td>\n",
" </tr>\n",
" <tr>\n",
" <th>horizon_SSE</th>\n",
" <td>0.169381</td>\n",
" </tr>\n",
" <tr>\n",
" <th>SIS</th>\n",
" <td>0.066134</td>\n",
" </tr>\n",
" <tr>\n",
" <th>horizon_SEE</th>\n",
" <td>0.052588</td>\n",
" </tr>\n",
" <tr>\n",
" <th>SISDIR</th>\n",
" <td>0.038643</td>\n",
" </tr>\n",
" <tr>\n",
" <th>horizon_SWW</th>\n",
" <td>0.038525</td>\n",
" </tr>\n",
" <tr>\n",
" <th>aspect_sign</th>\n",
" <td>0.038382</td>\n",
" </tr>\n",
" <tr>\n",
" <th>roof_y</th>\n",
" <td>0.028902</td>\n",
" </tr>\n",
" <tr>\n",
" <th>DHI</th>\n",
" <td>0.020266</td>\n",
" </tr>\n",
" <tr>\n",
" <th>horizon_NWW</th>\n",
" <td>0.017279</td>\n",
" </tr>\n",
" <tr>\n",
" <th>roof_x</th>\n",
" <td>0.015783</td>\n",
" </tr>\n",
" <tr>\n",
" <th>roof_area</th>\n",
" <td>0.014041</td>\n",
" </tr>\n",
" <tr>\n",
" <th>horizon_W</th>\n",
" <td>0.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>horizon_E</th>\n",
" <td>0.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>horizon_NEE</th>\n",
" <td>0.000000</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Mutual_info\n",
"roof_aspect 0.605287\n",
"horizon_S 0.222695\n",
"roof_tilt 0.181772\n",
"horizon_SSW 0.173842\n",
"horizon_SSE 0.169381\n",
"SIS 0.066134\n",
"horizon_SEE 0.052588\n",
"SISDIR 0.038643\n",
"horizon_SWW 0.038525\n",
"aspect_sign 0.038382\n",
"roof_y 0.028902\n",
"DHI 0.020266\n",
"horizon_NWW 0.017279\n",
"roof_x 0.015783\n",
"roof_area 0.014041\n",
"horizon_W 0.000000\n",
"horizon_E 0.000000\n",
"horizon_NEE 0.000000"
]
},
"execution_count": 12,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"(pd.DataFrame(mutual_info_regression(X, y), index = X.columns, columns = ['Mutual_info'])\n",
" .sort_values('Mutual_info', ascending = False))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## *Questions*\n",
"- a. Based on mutual information, which are the most important features?\n",
"- b. How does this answer change compared to the answers from Step 1.2?"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### *SOLUTION*\n",
"- a. The most important features now are **roof aspect, horizon_S, roof_tilt, horizon_SSW and horizon_SSE**.\n",
"- b. The roof aspect and roof tilt have replaced the horizon values for SEE and SWW amongst the most important features."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Part 2 - Feature preprocessing and k-fold cross-validation"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The required packages are:"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [],
"source": [
"from sklearn.preprocessing import scale\n",
"from sklearn.model_selection import KFold\n",
"\n",
"from lib_file import * # Functions in the file lib_file.py, which should be in the same directory as your notebook"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Step 2.1: k-fold cross-validation\n",
"Throughout this tutorial we will work with 5-fold cross-validation, which is the default in all of scikit's `cross_val`-functions:"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {},
"outputs": [],
"source": [
"N_FOLDS = 5 # Define the number of folds"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"We can declare a 5-fold cross-validation and plot the resulting splits for our data:"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {
"scrolled": false
},
"outputs": [
{
"data": {
"text/plain": [
"KFold(n_splits=5, random_state=None, shuffle=False)"
]
},
"execution_count": 15,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"cv = KFold(n_splits = N_FOLDS)\n",
"cv"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {
"scrolled": false
},
"outputs": [
{
"data": {
"application/javascript": [
"/* Put everything inside the global mpl namespace */\n",
"/* global mpl */\n",
"window.mpl = {};\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(\n",
" '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",
"\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 = document.createElement('div');\n",
" this.root.setAttribute('style', 'display: inline-block');\n",
" this._root_extra_style(this.root);\n",
"\n",
" parent_element.appendChild(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 (fig.ratio !== 1) {\n",
" fig.send_message('set_dpi_ratio', { dpi_ratio: fig.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 = document.createElement('div');\n",
" titlebar.classList =\n",
" 'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
" var titletext = document.createElement('div');\n",
" titletext.classList = 'ui-dialog-title';\n",
" titletext.setAttribute(\n",
" 'style',\n",
" 'width: 100%; text-align: center; padding: 3px;'\n",
" );\n",
" titlebar.appendChild(titletext);\n",
" this.root.appendChild(titlebar);\n",
" this.header = titletext;\n",
"};\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
"\n",
"mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
"\n",
"mpl.figure.prototype._init_canvas = function () {\n",
" var fig = this;\n",
"\n",
" var canvas_div = (this.canvas_div = document.createElement('div'));\n",
" canvas_div.setAttribute(\n",
" 'style',\n",
" 'border: 1px solid #ddd;' +\n",
" 'box-sizing: content-box;' +\n",
" 'clear: both;' +\n",
" 'min-height: 1px;' +\n",
" 'min-width: 1px;' +\n",
" 'outline: 0;' +\n",
" 'overflow: hidden;' +\n",
" 'position: relative;' +\n",
" 'resize: both;'\n",
" );\n",
"\n",
" function on_keyboard_event_closure(name) {\n",
" return function (event) {\n",
" return fig.key_event(event, name);\n",
" };\n",
" }\n",
"\n",
" canvas_div.addEventListener(\n",
" 'keydown',\n",
" on_keyboard_event_closure('key_press')\n",
" );\n",
" canvas_div.addEventListener(\n",
" 'keyup',\n",
" on_keyboard_event_closure('key_release')\n",
" );\n",
"\n",
" this._canvas_extra_style(canvas_div);\n",
" this.root.appendChild(canvas_div);\n",
"\n",
" var canvas = (this.canvas = document.createElement('canvas'));\n",
" canvas.classList.add('mpl-canvas');\n",
" canvas.setAttribute('style', 'box-sizing: content-box;');\n",
"\n",
" this.context = canvas.getContext('2d');\n",
"\n",
" var backingStore =\n",
" this.context.backingStorePixelRatio ||\n",
" this.context.webkitBackingStorePixelRatio ||\n",
" this.context.mozBackingStorePixelRatio ||\n",
" this.context.msBackingStorePixelRatio ||\n",
" this.context.oBackingStorePixelRatio ||\n",
" this.context.backingStorePixelRatio ||\n",
" 1;\n",
"\n",
" this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
" if (this.ratio !== 1) {\n",
" fig.send_message('set_dpi_ratio', { dpi_ratio: this.ratio });\n",
" }\n",
"\n",
" var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
" 'canvas'\n",
" ));\n",
" rubberband_canvas.setAttribute(\n",
" 'style',\n",
" 'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
" );\n",
"\n",
" var resizeObserver = new ResizeObserver(function (entries) {\n",
" var nentries = entries.length;\n",
" for (var i = 0; i < nentries; i++) {\n",
" var entry = entries[i];\n",
" var width, height;\n",
" if (entry.contentBoxSize) {\n",
" if (entry.contentBoxSize instanceof Array) {\n",
" // Chrome 84 implements new version of spec.\n",
" width = entry.contentBoxSize[0].inlineSize;\n",
" height = entry.contentBoxSize[0].blockSize;\n",
" } else {\n",
" // Firefox implements old version of spec.\n",
" width = entry.contentBoxSize.inlineSize;\n",
" height = entry.contentBoxSize.blockSize;\n",
" }\n",
" } else {\n",
" // Chrome <84 implements even older version of spec.\n",
" width = entry.contentRect.width;\n",
" height = entry.contentRect.height;\n",
" }\n",
"\n",
" // Keep the size of the canvas and rubber band canvas in sync with\n",
" // the canvas container.\n",
" if (entry.devicePixelContentBoxSize) {\n",
" // Chrome 84 implements new version of spec.\n",
" canvas.setAttribute(\n",
" 'width',\n",
" entry.devicePixelContentBoxSize[0].inlineSize\n",
" );\n",
" canvas.setAttribute(\n",
" 'height',\n",
" entry.devicePixelContentBoxSize[0].blockSize\n",
" );\n",
" } else {\n",
" canvas.setAttribute('width', width * fig.ratio);\n",
" canvas.setAttribute('height', height * fig.ratio);\n",
" }\n",
" canvas.setAttribute(\n",
" 'style',\n",
" 'width: ' + width + 'px; height: ' + height + 'px;'\n",
" );\n",
"\n",
" rubberband_canvas.setAttribute('width', width);\n",
" rubberband_canvas.setAttribute('height', height);\n",
"\n",
" // And update the size in Python. We ignore the initial 0/0 size\n",
" // that occurs as the element is placed into the DOM, which should\n",
" // otherwise not happen due to the minimum size styling.\n",
" if (width != 0 && height != 0) {\n",
" fig.request_resize(width, height);\n",
" }\n",
" }\n",
" });\n",
" resizeObserver.observe(canvas_div);\n",
"\n",
" function on_mouse_event_closure(name) {\n",
" return function (event) {\n",
" return fig.mouse_event(event, name);\n",
" };\n",
" }\n",
"\n",
" rubberband_canvas.addEventListener(\n",
" 'mousedown',\n",
" on_mouse_event_closure('button_press')\n",
" );\n",
" rubberband_canvas.addEventListener(\n",
" 'mouseup',\n",
" on_mouse_event_closure('button_release')\n",
" );\n",
" // Throttle sequential mouse events to 1 every 20ms.\n",
" rubberband_canvas.addEventListener(\n",
" 'mousemove',\n",
" on_mouse_event_closure('motion_notify')\n",
" );\n",
"\n",
" rubberband_canvas.addEventListener(\n",
" 'mouseenter',\n",
" on_mouse_event_closure('figure_enter')\n",
" );\n",
" rubberband_canvas.addEventListener(\n",
" 'mouseleave',\n",
" on_mouse_event_closure('figure_leave')\n",
" );\n",
"\n",
" canvas_div.addEventListener('wheel', function (event) {\n",
" if (event.deltaY < 0) {\n",
" event.step = 1;\n",
" } else {\n",
" event.step = -1;\n",
" }\n",
" on_mouse_event_closure('scroll')(event);\n",
" });\n",
"\n",
" canvas_div.appendChild(canvas);\n",
" canvas_div.appendChild(rubberband_canvas);\n",
"\n",
" this.rubberband_context = rubberband_canvas.getContext('2d');\n",
" this.rubberband_context.strokeStyle = '#000000';\n",
"\n",
" this._resize_canvas = function (width, height, forward) {\n",
" if (forward) {\n",
" canvas_div.style.width = width + 'px';\n",
" canvas_div.style.height = height + 'px';\n",
" }\n",
" };\n",
"\n",
" // Disable right mouse context menu.\n",
" this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
" event.preventDefault();\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 toolbar = document.createElement('div');\n",
" toolbar.classList = 'mpl-toolbar';\n",
" this.root.appendChild(toolbar);\n",
"\n",
" function on_click_closure(name) {\n",
" return function (_event) {\n",
" return fig.toolbar_button_onclick(name);\n",
" };\n",
" }\n",
"\n",
" function on_mouseover_closure(tooltip) {\n",
" return function (event) {\n",
" if (!event.currentTarget.disabled) {\n",
" return fig.toolbar_button_onmouseover(tooltip);\n",
" }\n",
" };\n",
" }\n",
"\n",
" fig.buttons = {};\n",
" var buttonGroup = document.createElement('div');\n",
" buttonGroup.classList = 'mpl-button-group';\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",
" /* Instead of a spacer, we start a new button group. */\n",
" if (buttonGroup.hasChildNodes()) {\n",
" toolbar.appendChild(buttonGroup);\n",
" }\n",
" buttonGroup = document.createElement('div');\n",
" buttonGroup.classList = 'mpl-button-group';\n",
" continue;\n",
" }\n",
"\n",
" var button = (fig.buttons[name] = document.createElement('button'));\n",
" button.classList = 'mpl-widget';\n",
" button.setAttribute('role', 'button');\n",
" button.setAttribute('aria-disabled', 'false');\n",
" button.addEventListener('click', on_click_closure(method_name));\n",
" button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
"\n",
" var icon_img = document.createElement('img');\n",
" icon_img.src = '_images/' + image + '.png';\n",
" icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
" icon_img.alt = tooltip;\n",
" button.appendChild(icon_img);\n",
"\n",
" buttonGroup.appendChild(button);\n",
" }\n",
"\n",
" if (buttonGroup.hasChildNodes()) {\n",
" toolbar.appendChild(buttonGroup);\n",
" }\n",
"\n",
" var fmt_picker = document.createElement('select');\n",
" fmt_picker.classList = 'mpl-widget';\n",
" toolbar.appendChild(fmt_picker);\n",
" this.format_dropdown = fmt_picker;\n",
"\n",
" for (var ind in mpl.extensions) {\n",
" var fmt = mpl.extensions[ind];\n",
" var option = document.createElement('option');\n",
" option.selected = fmt === mpl.default_extension;\n",
" option.innerHTML = fmt;\n",
" fmt_picker.appendChild(option);\n",
" }\n",
"\n",
" var status_bar = document.createElement('span');\n",
" status_bar.classList = 'mpl-message';\n",
" toolbar.appendChild(status_bar);\n",
" this.message = status_bar;\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",
"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",
"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], msg['forward']);\n",
" fig.send_message('refresh', {});\n",
" }\n",
"};\n",
"\n",
"mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
" var x0 = msg['x0'] / fig.ratio;\n",
" var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
" var x1 = msg['x1'] / fig.ratio;\n",
" var y1 = (fig.canvas.height - msg['y1']) / fig.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,\n",
" 0,\n",
" fig.canvas.width / fig.ratio,\n",
" fig.canvas.height / fig.ratio\n",
" );\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",
" 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.handle_history_buttons = function (fig, msg) {\n",
" for (var key in msg) {\n",
" if (!(key in fig.buttons)) {\n",
" continue;\n",
" }\n",
" fig.buttons[key].disabled = !msg[key];\n",
" fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
" }\n",
"};\n",
"\n",
"mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
" if (msg['mode'] === 'PAN') {\n",
" fig.buttons['Pan'].classList.add('active');\n",
" fig.buttons['Zoom'].classList.remove('active');\n",
" } else if (msg['mode'] === 'ZOOM') {\n",
" fig.buttons['Pan'].classList.remove('active');\n",
" fig.buttons['Zoom'].classList.add('active');\n",
" } else {\n",
" fig.buttons['Pan'].classList.remove('active');\n",
" fig.buttons['Zoom'].classList.remove('active');\n",
" }\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",
"\n",
" fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
" evt.data\n",
" );\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" } else if (\n",
" typeof evt.data === 'string' &&\n",
" evt.data.slice(0, 21) === 'data:image/png;base64'\n",
" ) {\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(\n",
" \"No handler for the '\" + msg_type + \"' message type: \",\n",
" msg\n",
" );\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(\n",
" \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
" e,\n",
" e.stack,\n",
" msg\n",
" );\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",
" }\n",
" if (e.target) {\n",
" targ = e.target;\n",
" } else if (e.srcElement) {\n",
" targ = e.srcElement;\n",
" }\n",
" if (targ.nodeType === 3) {\n",
" // defeat Safari bug\n",
" targ = targ.parentNode;\n",
" }\n",
"\n",
" // pageX,Y are the mouse positions relative to the document\n",
" var boundingRect = targ.getBoundingClientRect();\n",
" var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
" var y = e.pageY - (boundingRect.top + document.body.scrollTop);\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",
" }\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",
" this.canvas.focus();\n",
" this.canvas_div.focus();\n",
" }\n",
"\n",
" var x = canvas_pos.x * this.ratio;\n",
" var y = canvas_pos.y * this.ratio;\n",
"\n",
" this.send_message(name, {\n",
" x: x,\n",
" y: y,\n",
" button: event.button,\n",
" step: event.step,\n",
" guiEvent: simpleKeys(event),\n",
" });\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",
" // Prevent repeat events\n",
" if (name === 'key_press') {\n",
" if (event.which === this._key) {\n",
" return;\n",
" } else {\n",
" this._key = event.which;\n",
" }\n",
" }\n",
" if (name === 'key_release') {\n",
" this._key = null;\n",
" }\n",
"\n",
" var value = '';\n",
" if (event.ctrlKey && event.which !== 17) {\n",
" value += 'ctrl+';\n",
" }\n",
" if (event.altKey && event.which !== 18) {\n",
" value += 'alt+';\n",
" }\n",
" if (event.shiftKey && event.which !== 16) {\n",
" value += 'shift+';\n",
" }\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, 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\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"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\";/* global mpl */\n",
"\n",
"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 = document.getElementById(id);\n",
" var ws_proxy = comm_websocket_adapter(comm);\n",
"\n",
" function ondownload(figure, _format) {\n",
" window.open(figure.canvas.toDataURL());\n",
" }\n",
"\n",
" var fig = new mpl.figure(id, ws_proxy, ondownload, element);\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;\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",
" fig.cell_info[0].output_area.element.one(\n",
" 'cleared',\n",
" { fig: fig },\n",
" fig._remove_fig_handler\n",
" );\n",
"};\n",
"\n",
"mpl.figure.prototype.handle_close = function (fig, msg) {\n",
" var width = fig.canvas.width / fig.ratio;\n",
" fig.cell_info[0].output_area.element.off(\n",
" 'cleared',\n",
" fig._remove_fig_handler\n",
" );\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.innerHTML =\n",
" '<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 / this.ratio;\n",
" var dataURL = this.canvas.toDataURL();\n",
" this.cell_info[1]['text/html'] =\n",
" '<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 () {\n",
" fig.push_to_output();\n",
" }, 1000);\n",
"};\n",
"\n",
"mpl.figure.prototype._init_toolbar = function () {\n",
" var fig = this;\n",
"\n",
" var toolbar = document.createElement('div');\n",
" toolbar.classList = 'btn-toolbar';\n",
" this.root.appendChild(toolbar);\n",
"\n",
" function on_click_closure(name) {\n",
" return function (_event) {\n",
" return fig.toolbar_button_onclick(name);\n",
" };\n",
" }\n",
"\n",
" function on_mouseover_closure(tooltip) {\n",
" return function (event) {\n",
" if (!event.currentTarget.disabled) {\n",
" return fig.toolbar_button_onmouseover(tooltip);\n",
" }\n",
" };\n",
" }\n",
"\n",
" fig.buttons = {};\n",
" var buttonGroup = document.createElement('div');\n",
" buttonGroup.classList = 'btn-group';\n",
" var button;\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",
" /* Instead of a spacer, we start a new button group. */\n",
" if (buttonGroup.hasChildNodes()) {\n",
" toolbar.appendChild(buttonGroup);\n",
" }\n",
" buttonGroup = document.createElement('div');\n",
" buttonGroup.classList = 'btn-group';\n",
" continue;\n",
" }\n",
"\n",
" button = fig.buttons[name] = document.createElement('button');\n",
" button.classList = 'btn btn-default';\n",
" button.href = '#';\n",
" button.title = name;\n",
" button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
" button.addEventListener('click', on_click_closure(method_name));\n",
" button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
" buttonGroup.appendChild(button);\n",
" }\n",
"\n",
" if (buttonGroup.hasChildNodes()) {\n",
" toolbar.appendChild(buttonGroup);\n",
" }\n",
"\n",
" // Add the status bar.\n",
" var status_bar = document.createElement('span');\n",
" status_bar.classList = 'mpl-message pull-right';\n",
" toolbar.appendChild(status_bar);\n",
" this.message = status_bar;\n",
"\n",
" // Add the close button to the window.\n",
" var buttongrp = document.createElement('div');\n",
" buttongrp.classList = 'btn-group inline pull-right';\n",
" button = document.createElement('button');\n",
" button.classList = 'btn btn-mini btn-primary';\n",
" button.href = '#';\n",
" button.title = 'Stop Interaction';\n",
" button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
" button.addEventListener('click', function (_evt) {\n",
" fig.handle_close(fig, {});\n",
" });\n",
" button.addEventListener(\n",
" 'mouseover',\n",
" on_mouseover_closure('Stop Interaction')\n",
" );\n",
" buttongrp.appendChild(button);\n",
" var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
" titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
"};\n",
"\n",
"mpl.figure.prototype._remove_fig_handler = function (event) {\n",
" var fig = event.data.fig;\n",
" fig.close_ws(fig, {});\n",
"};\n",
"\n",
"mpl.figure.prototype._root_extra_style = function (el) {\n",
" el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
"};\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function (el) {\n",
" // this is important to make the div 'focusable\n",
" el.setAttribute('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",
" } else {\n",
" // location in version 2\n",
" IPython.keyboard_manager.register_events(el);\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",
"\n",
" // Check for shift+enter\n",
" if (event.shiftKey && event.which === 13) {\n",
" this.canvas_div.blur();\n",
" // select the cell after this one\n",
" var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
" IPython.notebook.select(index + 1);\n",
" }\n",
"};\n",
"\n",
"mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
" fig.ondownload(fig, null);\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(\n",
" 'matplotlib',\n",
" mpl.mpl_figure_comm\n",
" );\n",
"}\n"
],
"text/plain": [
"<IPython.core.display.Javascript object>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"<img src=\"data:image/png;base64,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\" width=\"699.999984827909\">"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.figure(figsize = (7, 3))\n",
"plot_cv_indices(cv, X, y, ax = plt.gca(), n_splits = N_FOLDS, cmap_cv = 'coolwarm')\n",
"plt.tight_layout()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Step 2.2: Prepare features and target\n",
"To avoid having always the same (and potentially biased) subsets of the data in the cross-validation, let's shuffle the entire dataset randomly:"
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {},
"outputs": [],
"source": [
"data_shuffled = data.sample( frac = 1 ) # Randomly sample from the entire dataset (i.e. reshuffle the data)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**NOTE**: This step introduces additional randomness in the modelling, and means that your results will vary every time you run the script."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Now, we need to extract the features and targets again, from the shuffled dataset:"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {},
"outputs": [],
"source": [
"# SOLUTION\n",
"y = data_shuffled[ target_name ] # Extract the target column\n",
"X = data_shuffled[ features_list ] # Extract the list of features (later, we may reduce this list)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Finally, we should standardize the data using the `scale` function:"
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {},
"outputs": [],
"source": [
"X_scaled = scale(X)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Later, we will need to know the total number of features, so let's assign this value to the variable `n_features_all`:"
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"18"
]
},
"execution_count": 20,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"n_features_all = X_scaled.shape[1]\n",
"n_features_all"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Step 2.3: Save new datasets"
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {},
"outputs": [],
"source": [
"data_shuffled.to_csv('training_shuffled.csv')"
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {},
"outputs": [],
"source": [
"data_scaled = pd.concat([ pd.DataFrame(X_scaled, columns = X.columns, index = X.index), # Dataframe for X_scaled\n",
" y ], axis = 1) # Append y horizontally"
]
},
{
"cell_type": "code",
"execution_count": 23,
"metadata": {},
"outputs": [],
"source": [
"# SOLUTION\n",
"data_scaled.to_csv('training_scaled.csv')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Part 3 - Feature selection using KNN"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"For the feature selection using KNN the following functions are needed:"
]
},
{
"cell_type": "code",
"execution_count": 24,
"metadata": {},
"outputs": [],
"source": [
"from sklearn.feature_selection import SelectKBest # The feature selection module\n",
"from sklearn.neighbors import KNeighborsRegressor # The KNN regression model\n",
"from sklearn.model_selection import cross_val_score # The cross-validation function"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Step 3.1: Feature selection - a first glance"
]
},
{
"cell_type": "code",
"execution_count": 25,
"metadata": {},
"outputs": [],
"source": [
"# Set up a SelectKBest instance with mutual information as decision criterion to return the 8 best features\n",
"mutual_info = SelectKBest(mutual_info_regression, k = 8 ) # Initialise\n",
"X_reduced = mutual_info.fit_transform(X_scaled, y) # Extract the best features"
]
},
{
"cell_type": "code",
"execution_count": 26,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"array([0.82148169, 0.70754608, 0.79587278, 0.722299 , 0.76772433])"
]
},
"execution_count": 26,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"knn = KNeighborsRegressor() # Initiate model\n",
"cv_score = cross_val_score(knn, X_reduced, y, cv = N_FOLDS)\n",
"cv_score"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The `cv_score` shows the results for all folds, but often it is more informative to obtain the *mean* and *standard deviation* instead:"
]
},
{
"cell_type": "code",
"execution_count": 27,
"metadata": {
"scrolled": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"0.7629847749956069\n",
"0.043022680058039615\n"
]
}
],
"source": [
"print( cv_score.mean() )\n",
"print( cv_score.std() )"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"##### Comparison with all features\n",
"As a comparison, let's look at the score obtained from the default knn with *all* features:"
]
},
{
"cell_type": "code",
"execution_count": 28,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"0.6614220209767506\n",
"0.056629430840869355\n"
]
}
],
"source": [
"# Solution\n",
"knn = KNeighborsRegressor() # Initiate model\n",
"cv_score = cross_val_score(knn, X_scaled, y, cv = N_FOLDS)\n",
"\n",
"print( cv_score.mean() )\n",
"print( cv_score.std() )"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"##### Comparison with default feature set (before feature transformation)\n",
"Another comparison that we can perform is to the default dataset, i.e. before applying the feature transformation from Step 1.4. We have wrapped this analysis in the function `cross_val_score_default_knn()` (found in the lib_file.py). The default CV score (all features, no transformation) is:"
]
},
{
"cell_type": "code",
"execution_count": 29,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"0.505666303468904\n",
"0.03045349442565308\n"
]
}
],
"source": [
"cv_score = cross_val_score_default_knn()\n",
"print( cv_score.mean() )\n",
"print( cv_score.std() )"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## *Questions*\n",
"- a. Which performance metric is used in the `cross_val_score` method? What does a score of 1 represent? What about a score of 0?\n",
"- b. How is the performance of the model with the default feature set improved through feature transformation (with all features) and subsequently feature selection (keeping 8 features)?\n",
"- c. What does this very first glance suggest about the importance of feature engineering (transformation, selection, etc.)?"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### *SOLUTION*\n",
"- a. The cross_val_score uses the default `score`-method of the passed algorithm, i.e. the R2-coefficient of determination, which characterises the model's goodness of fit (i.e. the percentage of variance explained). A score of 1 represents a perfect model, with all variance explained. A score of 0 (or near-zero) represents complete randomness.\n",
"- b. By feature transformation, the score is improved from around 0.5 to around 0.65, and by feature selection, it is further improved to above 0.75 - this is a significant improvement, **just by improving the data used for modelling, not by changing the model itself.**\n",
"- c. Feature engineering is at least as important as the modelling process itself!"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Step 3.2: Systematic feature selection"
]
},
{
"cell_type": "code",
"execution_count": 30,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"array([ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17,\n",
" 18])"
]
},
"execution_count": 30,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"n_features = np.arange(1, n_features_all + 1) # Construct a list of all possible number of features\n",
"n_features"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"We next declare an empty dataframe that contains the k folds as rows, and the different number of features as columns:"
]
},
{
"cell_type": "code",
"execution_count": 31,
"metadata": {},
"outputs": [],
"source": [
"cv_featureSelect = pd.DataFrame(index = range(N_FOLDS), columns = n_features).fillna(0)\n",
"cv_featureSelect.index.name = 'CV iteration'\n",
"cv_featureSelect.columns.name = 'Number of features'"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"By iterating over all possible number of features, we compute the cross-validation scores for the default knn:"
]
},
{
"cell_type": "code",
"execution_count": 32,
"metadata": {},
"outputs": [],
"source": [
"# Iterate over all possible numbers of features\n",
"for n in n_features: \n",
" # Extract the n best features\n",
" mutual_info = SelectKBest(mutual_info_regression, k = n )\n",
" X_reduced = mutual_info.fit_transform(X_scaled, y)\n",
" \n",
" # Train a knn and score the performance with 5-fold cross-validation\n",
" knn = KNeighborsRegressor() # Initiate model\n",
" cv_featureSelect.loc[:,n] = cross_val_score(knn, X_reduced, y, cv = N_FOLDS) "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"This is the resulting dataframe:"
]
},
{
"cell_type": "code",
"execution_count": 33,
"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>Number of features</th>\n",
" <th>1</th>\n",
" <th>2</th>\n",
" <th>3</th>\n",
" <th>4</th>\n",
" <th>5</th>\n",
" <th>6</th>\n",
" <th>7</th>\n",
" <th>8</th>\n",
" <th>9</th>\n",
" <th>10</th>\n",
" <th>11</th>\n",
" <th>12</th>\n",
" <th>13</th>\n",
" <th>14</th>\n",
" <th>15</th>\n",
" <th>16</th>\n",
" <th>17</th>\n",
" <th>18</th>\n",
" </tr>\n",
" <tr>\n",
" <th>CV iteration</th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>0.579</td>\n",
" <td>0.627</td>\n",
" <td>0.761</td>\n",
" <td>0.808</td>\n",
" <td>0.796</td>\n",
" <td>0.819</td>\n",
" <td>0.817</td>\n",
" <td>0.832</td>\n",
" <td>0.810</td>\n",
" <td>0.796</td>\n",
" <td>0.801</td>\n",
" <td>0.790</td>\n",
" <td>0.761</td>\n",
" <td>0.747</td>\n",
" <td>0.745</td>\n",
" <td>0.741</td>\n",
" <td>0.720</td>\n",
" <td>0.718</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>0.392</td>\n",
" <td>0.555</td>\n",
" <td>0.645</td>\n",
" <td>0.707</td>\n",
" <td>0.672</td>\n",
" <td>0.702</td>\n",
" <td>0.701</td>\n",
" <td>0.680</td>\n",
" <td>0.707</td>\n",
" <td>0.677</td>\n",
" <td>0.691</td>\n",
" <td>0.662</td>\n",
" <td>0.627</td>\n",
" <td>0.622</td>\n",
" <td>0.617</td>\n",
" <td>0.621</td>\n",
" <td>0.605</td>\n",
" <td>0.594</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>0.562</td>\n",
" <td>0.609</td>\n",
" <td>0.744</td>\n",
" <td>0.776</td>\n",
" <td>0.787</td>\n",
" <td>0.810</td>\n",
" <td>0.789</td>\n",
" <td>0.760</td>\n",
" <td>0.778</td>\n",
" <td>0.780</td>\n",
" <td>0.775</td>\n",
" <td>0.736</td>\n",
" <td>0.746</td>\n",
" <td>0.749</td>\n",
" <td>0.729</td>\n",
" <td>0.721</td>\n",
" <td>0.722</td>\n",
" <td>0.718</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>0.487</td>\n",
" <td>0.587</td>\n",
" <td>0.744</td>\n",
" <td>0.779</td>\n",
" <td>0.743</td>\n",
" <td>0.747</td>\n",
" <td>0.697</td>\n",
" <td>0.664</td>\n",
" <td>0.681</td>\n",
" <td>0.681</td>\n",
" <td>0.677</td>\n",
" <td>0.635</td>\n",
" <td>0.624</td>\n",
" <td>0.624</td>\n",
" <td>0.593</td>\n",
" <td>0.595</td>\n",
" <td>0.595</td>\n",
" <td>0.593</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>0.528</td>\n",
" <td>0.605</td>\n",
" <td>0.747</td>\n",
" <td>0.734</td>\n",
" <td>0.764</td>\n",
" <td>0.755</td>\n",
" <td>0.798</td>\n",
" <td>0.770</td>\n",
" <td>0.753</td>\n",
" <td>0.749</td>\n",
" <td>0.722</td>\n",
" <td>0.711</td>\n",
" <td>0.723</td>\n",
" <td>0.718</td>\n",
" <td>0.735</td>\n",
" <td>0.711</td>\n",
" <td>0.709</td>\n",
" <td>0.684</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
"Number of features 1 2 3 4 5 6 7 8 \\\n",
"CV iteration \n",
"0 0.579 0.627 0.761 0.808 0.796 0.819 0.817 0.832 \n",
"1 0.392 0.555 0.645 0.707 0.672 0.702 0.701 0.680 \n",
"2 0.562 0.609 0.744 0.776 0.787 0.810 0.789 0.760 \n",
"3 0.487 0.587 0.744 0.779 0.743 0.747 0.697 0.664 \n",
"4 0.528 0.605 0.747 0.734 0.764 0.755 0.798 0.770 \n",
"\n",
"Number of features 9 10 11 12 13 14 15 16 \\\n",
"CV iteration \n",
"0 0.810 0.796 0.801 0.790 0.761 0.747 0.745 0.741 \n",
"1 0.707 0.677 0.691 0.662 0.627 0.622 0.617 0.621 \n",
"2 0.778 0.780 0.775 0.736 0.746 0.749 0.729 0.721 \n",
"3 0.681 0.681 0.677 0.635 0.624 0.624 0.593 0.595 \n",
"4 0.753 0.749 0.722 0.711 0.723 0.718 0.735 0.711 \n",
"\n",
"Number of features 17 18 \n",
"CV iteration \n",
"0 0.720 0.718 \n",
"1 0.605 0.594 \n",
"2 0.722 0.718 \n",
"3 0.595 0.593 \n",
"4 0.709 0.684 "
]
},
"execution_count": 33,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Display the data\n",
"cv_featureSelect.round(3)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"**NOTE**: Since the data is randomly shuffled before splitting, the results will deviate between different runs and from the solution!"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Let's compute, for each number of features, the mean and standard deviation, which we can visualise as a pandas dataframe:"
]
},
{
"cell_type": "code",
"execution_count": 34,
"metadata": {},
"outputs": [],
"source": [
"# Obtain cross-validation statistics\n",
"cv_stats = pd.DataFrame( [ cv_featureSelect.mean().rename('mean'), # compute mean across the k folds\n",
" cv_featureSelect.std() .rename('std') ] ) # compute std. deviaiton across the k folds"
]
},
{
"cell_type": "code",
"execution_count": 35,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<style type=\"text/css\" >\n",
"#T_bbdd0216_55cf_11eb_b7ec_8c85902f5b6frow0_col0{\n",
" background-color: #3aa257;\n",
" color: #000000;\n",
" }#T_bbdd0216_55cf_11eb_b7ec_8c85902f5b6frow0_col1{\n",
" background-color: #1d7f41;\n",
" color: #f1f1f1;\n",
" }#T_bbdd0216_55cf_11eb_b7ec_8c85902f5b6frow0_col2{\n",
" background-color: #00532f;\n",
" color: #f1f1f1;\n",
" }#T_bbdd0216_55cf_11eb_b7ec_8c85902f5b6frow0_col3{\n",
" background-color: #004629;\n",
" color: #f1f1f1;\n",
" }#T_bbdd0216_55cf_11eb_b7ec_8c85902f5b6frow0_col4{\n",
" background-color: #00492b;\n",
" color: #f1f1f1;\n",
" }#T_bbdd0216_55cf_11eb_b7ec_8c85902f5b6frow0_col5{\n",
" background-color: #004529;\n",
" color: #f1f1f1;\n",
" }#T_bbdd0216_55cf_11eb_b7ec_8c85902f5b6frow0_col6{\n",
" background-color: #00472a;\n",
" color: #f1f1f1;\n",
" }#T_bbdd0216_55cf_11eb_b7ec_8c85902f5b6frow0_col7{\n",
" background-color: #004e2d;\n",
" color: #f1f1f1;\n",
" }#T_bbdd0216_55cf_11eb_b7ec_8c85902f5b6frow0_col8{\n",
" background-color: #004d2c;\n",
" color: #f1f1f1;\n",
" }#T_bbdd0216_55cf_11eb_b7ec_8c85902f5b6frow0_col9{\n",
" background-color: #00502d;\n",
" color: #f1f1f1;\n",
" }#T_bbdd0216_55cf_11eb_b7ec_8c85902f5b6frow0_col10{\n",
" background-color: #00512e;\n",
" color: #f1f1f1;\n",
" }#T_bbdd0216_55cf_11eb_b7ec_8c85902f5b6frow0_col11{\n",
" background-color: #005b32;\n",
" color: #f1f1f1;\n",
" }#T_bbdd0216_55cf_11eb_b7ec_8c85902f5b6frow0_col12{\n",
" background-color: #005f34;\n",
" color: #f1f1f1;\n",
" }#T_bbdd0216_55cf_11eb_b7ec_8c85902f5b6frow0_col13{\n",
" background-color: #006034;\n",
" color: #f1f1f1;\n",
" }#T_bbdd0216_55cf_11eb_b7ec_8c85902f5b6frow0_col14{\n",
" background-color: #006435;\n",
" color: #f1f1f1;\n",
" }#T_bbdd0216_55cf_11eb_b7ec_8c85902f5b6frow0_col15{\n",
" background-color: #006636;\n",
" color: #f1f1f1;\n",
" }#T_bbdd0216_55cf_11eb_b7ec_8c85902f5b6frow0_col16{\n",
" background-color: #016937;\n",
" color: #f1f1f1;\n",
" }#T_bbdd0216_55cf_11eb_b7ec_8c85902f5b6frow0_col17{\n",
" background-color: #056c39;\n",
" color: #f1f1f1;\n",
" }#T_bbdd0216_55cf_11eb_b7ec_8c85902f5b6frow1_col0{\n",
" background-color: #fbfdcf;\n",
" color: #000000;\n",
" }#T_bbdd0216_55cf_11eb_b7ec_8c85902f5b6frow1_col1{\n",
" background-color: #ffffe5;\n",
" color: #000000;\n",
" }#T_bbdd0216_55cf_11eb_b7ec_8c85902f5b6frow1_col2{\n",
" background-color: #fdfedd;\n",
" color: #000000;\n",
" }#T_bbdd0216_55cf_11eb_b7ec_8c85902f5b6frow1_col3{\n",
" background-color: #feffdf;\n",
" color: #000000;\n",
" }#T_bbdd0216_55cf_11eb_b7ec_8c85902f5b6frow1_col4,#T_bbdd0216_55cf_11eb_b7ec_8c85902f5b6frow1_col5{\n",
" background-color: #fdfedb;\n",
" color: #000000;\n",
" }#T_bbdd0216_55cf_11eb_b7ec_8c85902f5b6frow1_col6{\n",
" background-color: #fcfed7;\n",
" color: #000000;\n",
" }#T_bbdd0216_55cf_11eb_b7ec_8c85902f5b6frow1_col7{\n",
" background-color: #fbfed2;\n",
" color: #000000;\n",
" }#T_bbdd0216_55cf_11eb_b7ec_8c85902f5b6frow1_col8{\n",
" background-color: #fdfeda;\n",
" color: #000000;\n",
" }#T_bbdd0216_55cf_11eb_b7ec_8c85902f5b6frow1_col9,#T_bbdd0216_55cf_11eb_b7ec_8c85902f5b6frow1_col10{\n",
" background-color: #fdfed9;\n",
" color: #000000;\n",
" }#T_bbdd0216_55cf_11eb_b7ec_8c85902f5b6frow1_col11{\n",
" background-color: #fcfed6;\n",
" color: #000000;\n",
" }#T_bbdd0216_55cf_11eb_b7ec_8c85902f5b6frow1_col12,#T_bbdd0216_55cf_11eb_b7ec_8c85902f5b6frow1_col15{\n",
" background-color: #fcfed3;\n",
" color: #000000;\n",
" }#T_bbdd0216_55cf_11eb_b7ec_8c85902f5b6frow1_col13,#T_bbdd0216_55cf_11eb_b7ec_8c85902f5b6frow1_col16,#T_bbdd0216_55cf_11eb_b7ec_8c85902f5b6frow1_col17{\n",
" background-color: #fcfed4;\n",
" color: #000000;\n",
" }#T_bbdd0216_55cf_11eb_b7ec_8c85902f5b6frow1_col14{\n",
" background-color: #fbfed0;\n",
" color: #000000;\n",
" }</style><table id=\"T_bbdd0216_55cf_11eb_b7ec_8c85902f5b6f\" ><thead> <tr> <th class=\"index_name level0\" >Number of features</th> <th class=\"col_heading level0 col0\" >1</th> <th class=\"col_heading level0 col1\" >2</th> <th class=\"col_heading level0 col2\" >3</th> <th class=\"col_heading level0 col3\" >4</th> <th class=\"col_heading level0 col4\" >5</th> <th class=\"col_heading level0 col5\" >6</th> <th class=\"col_heading level0 col6\" >7</th> <th class=\"col_heading level0 col7\" >8</th> <th class=\"col_heading level0 col8\" >9</th> <th class=\"col_heading level0 col9\" >10</th> <th class=\"col_heading level0 col10\" >11</th> <th class=\"col_heading level0 col11\" >12</th> <th class=\"col_heading level0 col12\" >13</th> <th class=\"col_heading level0 col13\" >14</th> <th class=\"col_heading level0 col14\" >15</th> <th class=\"col_heading level0 col15\" >16</th> <th class=\"col_heading level0 col16\" >17</th> <th class=\"col_heading level0 col17\" >18</th> </tr></thead><tbody>\n",
" <tr>\n",
" <th id=\"T_bbdd0216_55cf_11eb_b7ec_8c85902f5b6flevel0_row0\" class=\"row_heading level0 row0\" >mean</th>\n",
" <td id=\"T_bbdd0216_55cf_11eb_b7ec_8c85902f5b6frow0_col0\" class=\"data row0 col0\" >0.51</td>\n",
" <td id=\"T_bbdd0216_55cf_11eb_b7ec_8c85902f5b6frow0_col1\" class=\"data row0 col1\" >0.597</td>\n",
" <td id=\"T_bbdd0216_55cf_11eb_b7ec_8c85902f5b6frow0_col2\" class=\"data row0 col2\" >0.728</td>\n",
" <td id=\"T_bbdd0216_55cf_11eb_b7ec_8c85902f5b6frow0_col3\" class=\"data row0 col3\" >0.761</td>\n",
" <td id=\"T_bbdd0216_55cf_11eb_b7ec_8c85902f5b6frow0_col4\" class=\"data row0 col4\" >0.752</td>\n",
" <td id=\"T_bbdd0216_55cf_11eb_b7ec_8c85902f5b6frow0_col5\" class=\"data row0 col5\" >0.766</td>\n",
" <td id=\"T_bbdd0216_55cf_11eb_b7ec_8c85902f5b6frow0_col6\" class=\"data row0 col6\" >0.76</td>\n",
" <td id=\"T_bbdd0216_55cf_11eb_b7ec_8c85902f5b6frow0_col7\" class=\"data row0 col7\" >0.741</td>\n",
" <td id=\"T_bbdd0216_55cf_11eb_b7ec_8c85902f5b6frow0_col8\" class=\"data row0 col8\" >0.746</td>\n",
" <td id=\"T_bbdd0216_55cf_11eb_b7ec_8c85902f5b6frow0_col9\" class=\"data row0 col9\" >0.737</td>\n",
" <td id=\"T_bbdd0216_55cf_11eb_b7ec_8c85902f5b6frow0_col10\" class=\"data row0 col10\" >0.733</td>\n",
" <td id=\"T_bbdd0216_55cf_11eb_b7ec_8c85902f5b6frow0_col11\" class=\"data row0 col11\" >0.707</td>\n",
" <td id=\"T_bbdd0216_55cf_11eb_b7ec_8c85902f5b6frow0_col12\" class=\"data row0 col12\" >0.696</td>\n",
" <td id=\"T_bbdd0216_55cf_11eb_b7ec_8c85902f5b6frow0_col13\" class=\"data row0 col13\" >0.692</td>\n",
" <td id=\"T_bbdd0216_55cf_11eb_b7ec_8c85902f5b6frow0_col14\" class=\"data row0 col14\" >0.684</td>\n",
" <td id=\"T_bbdd0216_55cf_11eb_b7ec_8c85902f5b6frow0_col15\" class=\"data row0 col15\" >0.678</td>\n",
" <td id=\"T_bbdd0216_55cf_11eb_b7ec_8c85902f5b6frow0_col16\" class=\"data row0 col16\" >0.67</td>\n",
" <td id=\"T_bbdd0216_55cf_11eb_b7ec_8c85902f5b6frow0_col17\" class=\"data row0 col17\" >0.661</td>\n",
" </tr>\n",
" <tr>\n",
" <th id=\"T_bbdd0216_55cf_11eb_b7ec_8c85902f5b6flevel0_row1\" class=\"row_heading level0 row1\" >std</th>\n",
" <td id=\"T_bbdd0216_55cf_11eb_b7ec_8c85902f5b6frow1_col0\" class=\"data row1 col0\" >0.0748</td>\n",
" <td id=\"T_bbdd0216_55cf_11eb_b7ec_8c85902f5b6frow1_col1\" class=\"data row1 col1\" >0.0271</td>\n",
" <td id=\"T_bbdd0216_55cf_11eb_b7ec_8c85902f5b6frow1_col2\" class=\"data row1 col2\" >0.0471</td>\n",
" <td id=\"T_bbdd0216_55cf_11eb_b7ec_8c85902f5b6frow1_col3\" class=\"data row1 col3\" >0.04</td>\n",
" <td id=\"T_bbdd0216_55cf_11eb_b7ec_8c85902f5b6frow1_col4\" class=\"data row1 col4\" >0.0493</td>\n",
" <td id=\"T_bbdd0216_55cf_11eb_b7ec_8c85902f5b6frow1_col5\" class=\"data row1 col5\" >0.0483</td>\n",
" <td id=\"T_bbdd0216_55cf_11eb_b7ec_8c85902f5b6frow1_col6\" class=\"data row1 col6\" >0.0572</td>\n",
" <td id=\"T_bbdd0216_55cf_11eb_b7ec_8c85902f5b6frow1_col7\" class=\"data row1 col7\" >0.069</td>\n",
" <td id=\"T_bbdd0216_55cf_11eb_b7ec_8c85902f5b6frow1_col8\" class=\"data row1 col8\" >0.0522</td>\n",
" <td id=\"T_bbdd0216_55cf_11eb_b7ec_8c85902f5b6frow1_col9\" class=\"data row1 col9\" >0.0551</td>\n",
" <td id=\"T_bbdd0216_55cf_11eb_b7ec_8c85902f5b6frow1_col10\" class=\"data row1 col10\" >0.0532</td>\n",
" <td id=\"T_bbdd0216_55cf_11eb_b7ec_8c85902f5b6frow1_col11\" class=\"data row1 col11\" >0.061</td>\n",
" <td id=\"T_bbdd0216_55cf_11eb_b7ec_8c85902f5b6frow1_col12\" class=\"data row1 col12\" >0.0662</td>\n",
" <td id=\"T_bbdd0216_55cf_11eb_b7ec_8c85902f5b6frow1_col13\" class=\"data row1 col13\" >0.0643</td>\n",
" <td id=\"T_bbdd0216_55cf_11eb_b7ec_8c85902f5b6frow1_col14\" class=\"data row1 col14\" >0.0726</td>\n",
" <td id=\"T_bbdd0216_55cf_11eb_b7ec_8c85902f5b6frow1_col15\" class=\"data row1 col15\" >0.065</td>\n",
" <td id=\"T_bbdd0216_55cf_11eb_b7ec_8c85902f5b6frow1_col16\" class=\"data row1 col16\" >0.0642</td>\n",
" <td id=\"T_bbdd0216_55cf_11eb_b7ec_8c85902f5b6frow1_col17\" class=\"data row1 col17\" >0.0633</td>\n",
" </tr>\n",
" </tbody></table>"
],
"text/plain": [
"<pandas.io.formats.style.Styler at 0x7fe82c317510>"
]
},
"execution_count": 35,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Visualise dataframe with formatting\n",
"format_df( cv_stats, cmap='YlGn', decimals = 3)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The performance of the KNN can also be visualised as a plot with errorbars:"
]
},
{
"cell_type": "code",
"execution_count": 36,
"metadata": {},
"outputs": [
{
"data": {
"application/javascript": [
"/* Put everything inside the global mpl namespace */\n",
"/* global mpl */\n",
"window.mpl = {};\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(\n",
" '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",
"\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 = document.createElement('div');\n",
" this.root.setAttribute('style', 'display: inline-block');\n",
" this._root_extra_style(this.root);\n",
"\n",
" parent_element.appendChild(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 (fig.ratio !== 1) {\n",
" fig.send_message('set_dpi_ratio', { dpi_ratio: fig.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 = document.createElement('div');\n",
" titlebar.classList =\n",
" 'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
" var titletext = document.createElement('div');\n",
" titletext.classList = 'ui-dialog-title';\n",
" titletext.setAttribute(\n",
" 'style',\n",
" 'width: 100%; text-align: center; padding: 3px;'\n",
" );\n",
" titlebar.appendChild(titletext);\n",
" this.root.appendChild(titlebar);\n",
" this.header = titletext;\n",
"};\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
"\n",
"mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
"\n",
"mpl.figure.prototype._init_canvas = function () {\n",
" var fig = this;\n",
"\n",
" var canvas_div = (this.canvas_div = document.createElement('div'));\n",
" canvas_div.setAttribute(\n",
" 'style',\n",
" 'border: 1px solid #ddd;' +\n",
" 'box-sizing: content-box;' +\n",
" 'clear: both;' +\n",
" 'min-height: 1px;' +\n",
" 'min-width: 1px;' +\n",
" 'outline: 0;' +\n",
" 'overflow: hidden;' +\n",
" 'position: relative;' +\n",
" 'resize: both;'\n",
" );\n",
"\n",
" function on_keyboard_event_closure(name) {\n",
" return function (event) {\n",
" return fig.key_event(event, name);\n",
" };\n",
" }\n",
"\n",
" canvas_div.addEventListener(\n",
" 'keydown',\n",
" on_keyboard_event_closure('key_press')\n",
" );\n",
" canvas_div.addEventListener(\n",
" 'keyup',\n",
" on_keyboard_event_closure('key_release')\n",
" );\n",
"\n",
" this._canvas_extra_style(canvas_div);\n",
" this.root.appendChild(canvas_div);\n",
"\n",
" var canvas = (this.canvas = document.createElement('canvas'));\n",
" canvas.classList.add('mpl-canvas');\n",
" canvas.setAttribute('style', 'box-sizing: content-box;');\n",
"\n",
" this.context = canvas.getContext('2d');\n",
"\n",
" var backingStore =\n",
" this.context.backingStorePixelRatio ||\n",
" this.context.webkitBackingStorePixelRatio ||\n",
" this.context.mozBackingStorePixelRatio ||\n",
" this.context.msBackingStorePixelRatio ||\n",
" this.context.oBackingStorePixelRatio ||\n",
" this.context.backingStorePixelRatio ||\n",
" 1;\n",
"\n",
" this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
" if (this.ratio !== 1) {\n",
" fig.send_message('set_dpi_ratio', { dpi_ratio: this.ratio });\n",
" }\n",
"\n",
" var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
" 'canvas'\n",
" ));\n",
" rubberband_canvas.setAttribute(\n",
" 'style',\n",
" 'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
" );\n",
"\n",
" var resizeObserver = new ResizeObserver(function (entries) {\n",
" var nentries = entries.length;\n",
" for (var i = 0; i < nentries; i++) {\n",
" var entry = entries[i];\n",
" var width, height;\n",
" if (entry.contentBoxSize) {\n",
" if (entry.contentBoxSize instanceof Array) {\n",
" // Chrome 84 implements new version of spec.\n",
" width = entry.contentBoxSize[0].inlineSize;\n",
" height = entry.contentBoxSize[0].blockSize;\n",
" } else {\n",
" // Firefox implements old version of spec.\n",
" width = entry.contentBoxSize.inlineSize;\n",
" height = entry.contentBoxSize.blockSize;\n",
" }\n",
" } else {\n",
" // Chrome <84 implements even older version of spec.\n",
" width = entry.contentRect.width;\n",
" height = entry.contentRect.height;\n",
" }\n",
"\n",
" // Keep the size of the canvas and rubber band canvas in sync with\n",
" // the canvas container.\n",
" if (entry.devicePixelContentBoxSize) {\n",
" // Chrome 84 implements new version of spec.\n",
" canvas.setAttribute(\n",
" 'width',\n",
" entry.devicePixelContentBoxSize[0].inlineSize\n",
" );\n",
" canvas.setAttribute(\n",
" 'height',\n",
" entry.devicePixelContentBoxSize[0].blockSize\n",
" );\n",
" } else {\n",
" canvas.setAttribute('width', width * fig.ratio);\n",
" canvas.setAttribute('height', height * fig.ratio);\n",
" }\n",
" canvas.setAttribute(\n",
" 'style',\n",
" 'width: ' + width + 'px; height: ' + height + 'px;'\n",
" );\n",
"\n",
" rubberband_canvas.setAttribute('width', width);\n",
" rubberband_canvas.setAttribute('height', height);\n",
"\n",
" // And update the size in Python. We ignore the initial 0/0 size\n",
" // that occurs as the element is placed into the DOM, which should\n",
" // otherwise not happen due to the minimum size styling.\n",
" if (width != 0 && height != 0) {\n",
" fig.request_resize(width, height);\n",
" }\n",
" }\n",
" });\n",
" resizeObserver.observe(canvas_div);\n",
"\n",
" function on_mouse_event_closure(name) {\n",
" return function (event) {\n",
" return fig.mouse_event(event, name);\n",
" };\n",
" }\n",
"\n",
" rubberband_canvas.addEventListener(\n",
" 'mousedown',\n",
" on_mouse_event_closure('button_press')\n",
" );\n",
" rubberband_canvas.addEventListener(\n",
" 'mouseup',\n",
" on_mouse_event_closure('button_release')\n",
" );\n",
" // Throttle sequential mouse events to 1 every 20ms.\n",
" rubberband_canvas.addEventListener(\n",
" 'mousemove',\n",
" on_mouse_event_closure('motion_notify')\n",
" );\n",
"\n",
" rubberband_canvas.addEventListener(\n",
" 'mouseenter',\n",
" on_mouse_event_closure('figure_enter')\n",
" );\n",
" rubberband_canvas.addEventListener(\n",
" 'mouseleave',\n",
" on_mouse_event_closure('figure_leave')\n",
" );\n",
"\n",
" canvas_div.addEventListener('wheel', function (event) {\n",
" if (event.deltaY < 0) {\n",
" event.step = 1;\n",
" } else {\n",
" event.step = -1;\n",
" }\n",
" on_mouse_event_closure('scroll')(event);\n",
" });\n",
"\n",
" canvas_div.appendChild(canvas);\n",
" canvas_div.appendChild(rubberband_canvas);\n",
"\n",
" this.rubberband_context = rubberband_canvas.getContext('2d');\n",
" this.rubberband_context.strokeStyle = '#000000';\n",
"\n",
" this._resize_canvas = function (width, height, forward) {\n",
" if (forward) {\n",
" canvas_div.style.width = width + 'px';\n",
" canvas_div.style.height = height + 'px';\n",
" }\n",
" };\n",
"\n",
" // Disable right mouse context menu.\n",
" this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
" event.preventDefault();\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 toolbar = document.createElement('div');\n",
" toolbar.classList = 'mpl-toolbar';\n",
" this.root.appendChild(toolbar);\n",
"\n",
" function on_click_closure(name) {\n",
" return function (_event) {\n",
" return fig.toolbar_button_onclick(name);\n",
" };\n",
" }\n",
"\n",
" function on_mouseover_closure(tooltip) {\n",
" return function (event) {\n",
" if (!event.currentTarget.disabled) {\n",
" return fig.toolbar_button_onmouseover(tooltip);\n",
" }\n",
" };\n",
" }\n",
"\n",
" fig.buttons = {};\n",
" var buttonGroup = document.createElement('div');\n",
" buttonGroup.classList = 'mpl-button-group';\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",
" /* Instead of a spacer, we start a new button group. */\n",
" if (buttonGroup.hasChildNodes()) {\n",
" toolbar.appendChild(buttonGroup);\n",
" }\n",
" buttonGroup = document.createElement('div');\n",
" buttonGroup.classList = 'mpl-button-group';\n",
" continue;\n",
" }\n",
"\n",
" var button = (fig.buttons[name] = document.createElement('button'));\n",
" button.classList = 'mpl-widget';\n",
" button.setAttribute('role', 'button');\n",
" button.setAttribute('aria-disabled', 'false');\n",
" button.addEventListener('click', on_click_closure(method_name));\n",
" button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
"\n",
" var icon_img = document.createElement('img');\n",
" icon_img.src = '_images/' + image + '.png';\n",
" icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
" icon_img.alt = tooltip;\n",
" button.appendChild(icon_img);\n",
"\n",
" buttonGroup.appendChild(button);\n",
" }\n",
"\n",
" if (buttonGroup.hasChildNodes()) {\n",
" toolbar.appendChild(buttonGroup);\n",
" }\n",
"\n",
" var fmt_picker = document.createElement('select');\n",
" fmt_picker.classList = 'mpl-widget';\n",
" toolbar.appendChild(fmt_picker);\n",
" this.format_dropdown = fmt_picker;\n",
"\n",
" for (var ind in mpl.extensions) {\n",
" var fmt = mpl.extensions[ind];\n",
" var option = document.createElement('option');\n",
" option.selected = fmt === mpl.default_extension;\n",
" option.innerHTML = fmt;\n",
" fmt_picker.appendChild(option);\n",
" }\n",
"\n",
" var status_bar = document.createElement('span');\n",
" status_bar.classList = 'mpl-message';\n",
" toolbar.appendChild(status_bar);\n",
" this.message = status_bar;\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",
"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",
"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], msg['forward']);\n",
" fig.send_message('refresh', {});\n",
" }\n",
"};\n",
"\n",
"mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
" var x0 = msg['x0'] / fig.ratio;\n",
" var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
" var x1 = msg['x1'] / fig.ratio;\n",
" var y1 = (fig.canvas.height - msg['y1']) / fig.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,\n",
" 0,\n",
" fig.canvas.width / fig.ratio,\n",
" fig.canvas.height / fig.ratio\n",
" );\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",
" 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.handle_history_buttons = function (fig, msg) {\n",
" for (var key in msg) {\n",
" if (!(key in fig.buttons)) {\n",
" continue;\n",
" }\n",
" fig.buttons[key].disabled = !msg[key];\n",
" fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
" }\n",
"};\n",
"\n",
"mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
" if (msg['mode'] === 'PAN') {\n",
" fig.buttons['Pan'].classList.add('active');\n",
" fig.buttons['Zoom'].classList.remove('active');\n",
" } else if (msg['mode'] === 'ZOOM') {\n",
" fig.buttons['Pan'].classList.remove('active');\n",
" fig.buttons['Zoom'].classList.add('active');\n",
" } else {\n",
" fig.buttons['Pan'].classList.remove('active');\n",
" fig.buttons['Zoom'].classList.remove('active');\n",
" }\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",
"\n",
" fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
" evt.data\n",
" );\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" } else if (\n",
" typeof evt.data === 'string' &&\n",
" evt.data.slice(0, 21) === 'data:image/png;base64'\n",
" ) {\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(\n",
" \"No handler for the '\" + msg_type + \"' message type: \",\n",
" msg\n",
" );\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(\n",
" \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
" e,\n",
" e.stack,\n",
" msg\n",
" );\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",
" }\n",
" if (e.target) {\n",
" targ = e.target;\n",
" } else if (e.srcElement) {\n",
" targ = e.srcElement;\n",
" }\n",
" if (targ.nodeType === 3) {\n",
" // defeat Safari bug\n",
" targ = targ.parentNode;\n",
" }\n",
"\n",
" // pageX,Y are the mouse positions relative to the document\n",
" var boundingRect = targ.getBoundingClientRect();\n",
" var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
" var y = e.pageY - (boundingRect.top + document.body.scrollTop);\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",
" }\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",
" this.canvas.focus();\n",
" this.canvas_div.focus();\n",
" }\n",
"\n",
" var x = canvas_pos.x * this.ratio;\n",
" var y = canvas_pos.y * this.ratio;\n",
"\n",
" this.send_message(name, {\n",
" x: x,\n",
" y: y,\n",
" button: event.button,\n",
" step: event.step,\n",
" guiEvent: simpleKeys(event),\n",
" });\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",
" // Prevent repeat events\n",
" if (name === 'key_press') {\n",
" if (event.which === this._key) {\n",
" return;\n",
" } else {\n",
" this._key = event.which;\n",
" }\n",
" }\n",
" if (name === 'key_release') {\n",
" this._key = null;\n",
" }\n",
"\n",
" var value = '';\n",
" if (event.ctrlKey && event.which !== 17) {\n",
" value += 'ctrl+';\n",
" }\n",
" if (event.altKey && event.which !== 18) {\n",
" value += 'alt+';\n",
" }\n",
" if (event.shiftKey && event.which !== 16) {\n",
" value += 'shift+';\n",
" }\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, 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\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"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\";/* global mpl */\n",
"\n",
"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 = document.getElementById(id);\n",
" var ws_proxy = comm_websocket_adapter(comm);\n",
"\n",
" function ondownload(figure, _format) {\n",
" window.open(figure.canvas.toDataURL());\n",
" }\n",
"\n",
" var fig = new mpl.figure(id, ws_proxy, ondownload, element);\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;\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",
" fig.cell_info[0].output_area.element.one(\n",
" 'cleared',\n",
" { fig: fig },\n",
" fig._remove_fig_handler\n",
" );\n",
"};\n",
"\n",
"mpl.figure.prototype.handle_close = function (fig, msg) {\n",
" var width = fig.canvas.width / fig.ratio;\n",
" fig.cell_info[0].output_area.element.off(\n",
" 'cleared',\n",
" fig._remove_fig_handler\n",
" );\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.innerHTML =\n",
" '<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 / this.ratio;\n",
" var dataURL = this.canvas.toDataURL();\n",
" this.cell_info[1]['text/html'] =\n",
" '<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 () {\n",
" fig.push_to_output();\n",
" }, 1000);\n",
"};\n",
"\n",
"mpl.figure.prototype._init_toolbar = function () {\n",
" var fig = this;\n",
"\n",
" var toolbar = document.createElement('div');\n",
" toolbar.classList = 'btn-toolbar';\n",
" this.root.appendChild(toolbar);\n",
"\n",
" function on_click_closure(name) {\n",
" return function (_event) {\n",
" return fig.toolbar_button_onclick(name);\n",
" };\n",
" }\n",
"\n",
" function on_mouseover_closure(tooltip) {\n",
" return function (event) {\n",
" if (!event.currentTarget.disabled) {\n",
" return fig.toolbar_button_onmouseover(tooltip);\n",
" }\n",
" };\n",
" }\n",
"\n",
" fig.buttons = {};\n",
" var buttonGroup = document.createElement('div');\n",
" buttonGroup.classList = 'btn-group';\n",
" var button;\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",
" /* Instead of a spacer, we start a new button group. */\n",
" if (buttonGroup.hasChildNodes()) {\n",
" toolbar.appendChild(buttonGroup);\n",
" }\n",
" buttonGroup = document.createElement('div');\n",
" buttonGroup.classList = 'btn-group';\n",
" continue;\n",
" }\n",
"\n",
" button = fig.buttons[name] = document.createElement('button');\n",
" button.classList = 'btn btn-default';\n",
" button.href = '#';\n",
" button.title = name;\n",
" button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
" button.addEventListener('click', on_click_closure(method_name));\n",
" button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
" buttonGroup.appendChild(button);\n",
" }\n",
"\n",
" if (buttonGroup.hasChildNodes()) {\n",
" toolbar.appendChild(buttonGroup);\n",
" }\n",
"\n",
" // Add the status bar.\n",
" var status_bar = document.createElement('span');\n",
" status_bar.classList = 'mpl-message pull-right';\n",
" toolbar.appendChild(status_bar);\n",
" this.message = status_bar;\n",
"\n",
" // Add the close button to the window.\n",
" var buttongrp = document.createElement('div');\n",
" buttongrp.classList = 'btn-group inline pull-right';\n",
" button = document.createElement('button');\n",
" button.classList = 'btn btn-mini btn-primary';\n",
" button.href = '#';\n",
" button.title = 'Stop Interaction';\n",
" button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
" button.addEventListener('click', function (_evt) {\n",
" fig.handle_close(fig, {});\n",
" });\n",
" button.addEventListener(\n",
" 'mouseover',\n",
" on_mouseover_closure('Stop Interaction')\n",
" );\n",
" buttongrp.appendChild(button);\n",
" var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
" titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
"};\n",
"\n",
"mpl.figure.prototype._remove_fig_handler = function (event) {\n",
" var fig = event.data.fig;\n",
" fig.close_ws(fig, {});\n",
"};\n",
"\n",
"mpl.figure.prototype._root_extra_style = function (el) {\n",
" el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
"};\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function (el) {\n",
" // this is important to make the div 'focusable\n",
" el.setAttribute('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",
" } else {\n",
" // location in version 2\n",
" IPython.keyboard_manager.register_events(el);\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",
"\n",
" // Check for shift+enter\n",
" if (event.shiftKey && event.which === 13) {\n",
" this.canvas_div.blur();\n",
" // select the cell after this one\n",
" var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
" IPython.notebook.select(index + 1);\n",
" }\n",
"};\n",
"\n",
"mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
" fig.ondownload(fig, null);\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(\n",
" 'matplotlib',\n",
" mpl.mpl_figure_comm\n",
" );\n",
"}\n"
],
"text/plain": [
"<IPython.core.display.Javascript object>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"<img src=\"data:image/png;base64,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\" width=\"799.9999826604674\">"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.figure(figsize = (8,3))\n",
"cv_stats.loc['mean'].plot(yerr = cv_stats.loc['std'], ax = plt.gca())\n",
"plt.ylabel('Cross-validation score ($R^2$)')\n",
"plt.grid()\n",
"plt.tight_layout()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## *Questions*\n",
"- a. What is the optimal number of features? **NOTE**: These results can vary due to the re-shuffling of the data!\n",
"- b. How much of the improvement compared to the default model from tutorial 2 can be attributed to the feature transformation of the `roof_aspect`? How do you measure that?\n",
"- c. How much of the improvement can be attributed to the feature selection?"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### *SOLUTION*\n",
"- a. The optimal number of features should lie somewhere between 4 - 9 features.\n",
"- b. If we compare the results with all features, we see that the score is increased from around 0.4 to 0.65, simply by transforming the `roof_aspect`.\n",
"- c. If we compare the score for the optimal number of features (around 0.75-0.8) to the score for all features, we see that the feature selection increases the average cv-score by another +0.1 approximately."
]
},
{
"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": "3.7.6"
}
},
"nbformat": 4,
"nbformat_minor": 4
}
c4science · Help