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{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"import numpy as np\n",
"import pandas as pd\n",
"import xarray as xr\n",
"\n",
"%matplotlib notebook\n",
"import matplotlib.pyplot as plt\n",
"import util\n",
"\n",
"from pvlib.solarposition import get_solarposition"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Load and prepare data"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"LAT = 46.818188\n",
"LON = 8.227512"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"raw_data = xr.open_dataset('/work/hyenergy/raw/MeteoSwiss_satellite/raw_data/2001.nc')"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<xarray.Dataset>\n",
"Dimensions: (date: 365, hour: 17, lat: 95, lon: 217)\n",
"Coordinates:\n",
" * lon (lon) float64 5.979 6.0 6.021 6.042 ... 10.42 10.44 10.46 10.48\n",
" * lat (lat) float64 45.83 45.85 45.88 45.9 ... 47.73 47.75 47.77 47.79\n",
" * hour (hour) int64 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19\n",
" * date (date) datetime64[ns] 2001-01-01 2001-01-02 ... 2001-12-31\n",
"Data variables:\n",
" SIS (date, lon, lat, hour) float64 ...\n",
" SISDIR (date, lon, lat, hour) float64 ...\n",
" SISCF (date, lon, lat, hour) float64 ...\n",
" SISDIRCF (date, lon, lat, hour) float64 ...\n",
" KI (date, lon, lat, hour) float64 ...\n",
" ALB (date, lon, lat, hour) float64 ...\n",
" year (date, lon, lat, hour) float64 ...\n",
" KI_SIS (date, lon, lat, hour) float64 ...\n",
" KI_SISDIR (date, lon, lat, hour) float64 ..."
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"raw_data"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
"tmp = raw_data.SIS.where(raw_data.SIS > 0, drop = True)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"tmp.isel(lon = 100, lat = 50).to_dataframe().dropna()"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
"SIS = raw_data.SIS.mean(dim = ['lon', 'lat'])"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [],
"source": [
"SIS_mmh = SIS.to_dataset()"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {
"scrolled": true
},
"outputs": [
{
"data": {
"text/plain": [
"<xarray.Dataset>\n",
"Dimensions: (date: 365, hour: 17)\n",
"Coordinates:\n",
" * hour (hour) int64 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19\n",
" * date (date) datetime64[ns] 2001-01-01 2001-01-02 ... 2001-12-31\n",
"Data variables:\n",
" SIS (date, hour) float64 0.0 0.0 0.0 0.0 19.66 ... 0.0 0.0 0.0 0.0"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"SIS_mmh"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [],
"source": [
"SIS_df = SIS_mmh.to_dataframe().reset_index()\n",
"SIS_df['timestamp'] = pd.to_datetime({'year': 2001, 'month': SIS_df.date.dt.month, 'day': SIS_df.date.dt.day, 'hour': SIS_df.hour})\n",
"SIS_df = SIS_df.sort_values('timestamp').set_index('timestamp')"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"DatetimeIndex(['2001-01-01 03:00:00', '2001-01-01 04:00:00',\n",
" '2001-01-01 05:00:00', '2001-01-01 06:00:00',\n",
" '2001-01-01 07:00:00', '2001-01-01 08:00:00',\n",
" '2001-01-01 09:00:00', '2001-01-01 10:00:00',\n",
" '2001-01-01 11:00:00', '2001-01-01 12:00:00',\n",
" ...\n",
" '2001-12-31 10:00:00', '2001-12-31 11:00:00',\n",
" '2001-12-31 12:00:00', '2001-12-31 13:00:00',\n",
" '2001-12-31 14:00:00', '2001-12-31 15:00:00',\n",
" '2001-12-31 16:00:00', '2001-12-31 17:00:00',\n",
" '2001-12-31 18:00:00', '2001-12-31 19:00:00'],\n",
" dtype='datetime64[ns]', name='timestamp', length=6205, freq=None)"
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"SIS_df.index"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [
{
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" canvas_div.resizable({\n",
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" break;\n",
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"}\n",
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" * Chrome. But how to set the MIME type? It doesn't seem\n",
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"\n",
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"\n",
"// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
"mpl.findpos = function(e) {\n",
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" var targ;\n",
" if (!e)\n",
" e = window.event;\n",
" if (e.target)\n",
" targ = e.target;\n",
" else if (e.srcElement)\n",
" targ = e.srcElement;\n",
" if (targ.nodeType == 3) // defeat Safari bug\n",
" targ = targ.parentNode;\n",
"\n",
" // jQuery normalizes the pageX and pageY\n",
" // pageX,Y are the mouse positions relative to the document\n",
" // offset() returns the position of the element relative to the document\n",
" var x = e.pageX - $(targ).offset().left;\n",
" var y = e.pageY - $(targ).offset().top;\n",
"\n",
" return {\"x\": x, \"y\": y};\n",
"};\n",
"\n",
"/*\n",
" * return a copy of an object with only non-object keys\n",
" * we need this to avoid circular references\n",
" * http://stackoverflow.com/a/24161582/3208463\n",
" */\n",
"function simpleKeys (original) {\n",
" return Object.keys(original).reduce(function (obj, key) {\n",
" if (typeof original[key] !== 'object')\n",
" obj[key] = original[key]\n",
" return obj;\n",
" }, {});\n",
"}\n",
"\n",
"mpl.figure.prototype.mouse_event = function(event, name) {\n",
" var canvas_pos = mpl.findpos(event)\n",
"\n",
" if (name === 'button_press')\n",
" {\n",
" this.canvas.focus();\n",
" this.canvas_div.focus();\n",
" }\n",
"\n",
" var x = canvas_pos.x * mpl.ratio;\n",
" var y = canvas_pos.y * mpl.ratio;\n",
"\n",
" this.send_message(name, {x: x, y: y, button: event.button,\n",
" step: event.step,\n",
" guiEvent: simpleKeys(event)});\n",
"\n",
" /* This prevents the web browser from automatically changing to\n",
" * the text insertion cursor when the button is pressed. We want\n",
" * to control all of the cursor setting manually through the\n",
" * 'cursor' event from matplotlib */\n",
" event.preventDefault();\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" // Handle any extra behaviour associated with a key event\n",
"}\n",
"\n",
"mpl.figure.prototype.key_event = function(event, name) {\n",
"\n",
" // Prevent repeat events\n",
" if (name == 'key_press')\n",
" {\n",
" if (event.which === this._key)\n",
" return;\n",
" else\n",
" this._key = event.which;\n",
" }\n",
" if (name == 'key_release')\n",
" this._key = null;\n",
"\n",
" var value = '';\n",
" if (event.ctrlKey && event.which != 17)\n",
" value += \"ctrl+\";\n",
" if (event.altKey && event.which != 18)\n",
" value += \"alt+\";\n",
" if (event.shiftKey && event.which != 16)\n",
" value += \"shift+\";\n",
"\n",
" value += 'k';\n",
" value += event.which.toString();\n",
"\n",
" this._key_event_extra(event, name);\n",
"\n",
" this.send_message(name, {key: value,\n",
" guiEvent: simpleKeys(event)});\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
" if (name == 'download') {\n",
" this.handle_save(this, null);\n",
" } else {\n",
" this.send_message(\"toolbar_button\", {name: name});\n",
" }\n",
"};\n",
"\n",
"mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
" this.message.textContent = tooltip;\n",
"};\n",
"mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
"\n",
"mpl.extensions = [\"eps\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\n",
"\n",
"mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
" // Create a \"websocket\"-like object which calls the given IPython comm\n",
" // object with the appropriate methods. Currently this is a non binary\n",
" // socket, so there is still some room for performance tuning.\n",
" var ws = {};\n",
"\n",
" ws.close = function() {\n",
" comm.close()\n",
" };\n",
" ws.send = function(m) {\n",
" //console.log('sending', m);\n",
" comm.send(m);\n",
" };\n",
" // Register the callback with on_msg.\n",
" comm.on_msg(function(msg) {\n",
" //console.log('receiving', msg['content']['data'], msg);\n",
" // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
" ws.onmessage(msg['content']['data'])\n",
" });\n",
" return ws;\n",
"}\n",
"\n",
"mpl.mpl_figure_comm = function(comm, msg) {\n",
" // This is the function which gets called when the mpl process\n",
" // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
"\n",
" var id = msg.content.data.id;\n",
" // Get hold of the div created by the display call when the Comm\n",
" // socket was opened in Python.\n",
" var element = $(\"#\" + id);\n",
" var ws_proxy = comm_websocket_adapter(comm)\n",
"\n",
" function ondownload(figure, format) {\n",
" window.open(figure.imageObj.src);\n",
" }\n",
"\n",
" var fig = new mpl.figure(id, ws_proxy,\n",
" ondownload,\n",
" element.get(0));\n",
"\n",
" // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
" // web socket which is closed, not our websocket->open comm proxy.\n",
" ws_proxy.onopen();\n",
"\n",
" fig.parent_element = element.get(0);\n",
" fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
" if (!fig.cell_info) {\n",
" console.error(\"Failed to find cell for figure\", id, fig);\n",
" return;\n",
" }\n",
"\n",
" var output_index = fig.cell_info[2]\n",
" var cell = fig.cell_info[0];\n",
"\n",
"};\n",
"\n",
"mpl.figure.prototype.handle_close = function(fig, msg) {\n",
" var width = fig.canvas.width/mpl.ratio\n",
" fig.root.unbind('remove')\n",
"\n",
" // Update the output cell to use the data from the current canvas.\n",
" fig.push_to_output();\n",
" var dataURL = fig.canvas.toDataURL();\n",
" // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
" // the notebook keyboard shortcuts fail.\n",
" IPython.keyboard_manager.enable()\n",
" $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
" fig.close_ws(fig, msg);\n",
"}\n",
"\n",
"mpl.figure.prototype.close_ws = function(fig, msg){\n",
" fig.send_message('closing', msg);\n",
" // fig.ws.close()\n",
"}\n",
"\n",
"mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
" // Turn the data on the canvas into data in the output cell.\n",
" var width = this.canvas.width/mpl.ratio\n",
" var dataURL = this.canvas.toDataURL();\n",
" this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Tell IPython that the notebook contents must change.\n",
" IPython.notebook.set_dirty(true);\n",
" this.send_message(\"ack\", {});\n",
" var fig = this;\n",
" // Wait a second, then push the new image to the DOM so\n",
" // that it is saved nicely (might be nice to debounce this).\n",
" setTimeout(function () { fig.push_to_output() }, 1000);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('<div/>')\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items){\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) { continue; };\n",
"\n",
" var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" // Add the status bar.\n",
" var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"\n",
" // Add the close button to the window.\n",
" var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
" var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
" button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
" button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
" buttongrp.append(button);\n",
" var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
" titlebar.prepend(buttongrp);\n",
"}\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(el){\n",
" var fig = this\n",
" el.on(\"remove\", function(){\n",
"\tfig.close_ws(fig, {});\n",
" });\n",
"}\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(el){\n",
" // this is important to make the div 'focusable\n",
" el.attr('tabindex', 0)\n",
" // reach out to IPython and tell the keyboard manager to turn it's self\n",
" // off when our div gets focus\n",
"\n",
" // location in version 3\n",
" if (IPython.notebook.keyboard_manager) {\n",
" IPython.notebook.keyboard_manager.register_events(el);\n",
" }\n",
" else {\n",
" // location in version 2\n",
" IPython.keyboard_manager.register_events(el);\n",
" }\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" var manager = IPython.notebook.keyboard_manager;\n",
" if (!manager)\n",
" manager = IPython.keyboard_manager;\n",
"\n",
" // Check for shift+enter\n",
" if (event.shiftKey && event.which == 13) {\n",
" this.canvas_div.blur();\n",
" event.shiftKey = false;\n",
" // Send a \"J\" for go to next cell\n",
" event.which = 74;\n",
" event.keyCode = 74;\n",
" manager.command_mode();\n",
" manager.handle_keydown(event);\n",
" }\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" fig.ondownload(fig, null);\n",
"}\n",
"\n",
"\n",
"mpl.find_output_cell = function(html_output) {\n",
" // Return the cell and output element which can be found *uniquely* in the notebook.\n",
" // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
" // IPython event is triggered only after the cells have been serialised, which for\n",
" // our purposes (turning an active figure into a static one), is too late.\n",
" var cells = IPython.notebook.get_cells();\n",
" var ncells = cells.length;\n",
" for (var i=0; i<ncells; i++) {\n",
" var cell = cells[i];\n",
" if (cell.cell_type === 'code'){\n",
" for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
" var data = cell.output_area.outputs[j];\n",
" if (data.data) {\n",
" // IPython >= 3 moved mimebundle to data attribute of output\n",
" data = data.data;\n",
" }\n",
" if (data['text/html'] == html_output) {\n",
" return [cell, data, j];\n",
" }\n",
" }\n",
" }\n",
" }\n",
"}\n",
"\n",
"// Register the function which deals with the matplotlib target/channel.\n",
"// The kernel may be null if the page has been refreshed.\n",
"if (IPython.notebook.kernel != null) {\n",
" IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
"}\n"
],
"text/plain": [
"<IPython.core.display.Javascript object>"
]
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\" width=\"640\">"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.figure()\n",
"SIS_mmh.SIS.plot()\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [],
"source": [
"SIS_converted = SIS_df.copy()\n",
"# convert to local swiss time\n",
"SIS_converted.index = SIS_converted.index.tz_localize('UTC').tz_convert('Europe/Zurich')"
]
},
{
"cell_type": "code",
"execution_count": 11,
"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>date</th>\n",
" <th>hour</th>\n",
" <th>SIS</th>\n",
" </tr>\n",
" <tr>\n",
" <th>timestamp</th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>2001-01-01 04:00:00+01:00</th>\n",
" <td>2001-01-01</td>\n",
" <td>3</td>\n",
" <td>0.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2001-01-01 05:00:00+01:00</th>\n",
" <td>2001-01-01</td>\n",
" <td>4</td>\n",
" <td>0.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2001-01-01 06:00:00+01:00</th>\n",
" <td>2001-01-01</td>\n",
" <td>5</td>\n",
" <td>0.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2001-01-01 07:00:00+01:00</th>\n",
" <td>2001-01-01</td>\n",
" <td>6</td>\n",
" <td>0.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2001-01-01 08:00:00+01:00</th>\n",
" <td>2001-01-01</td>\n",
" <td>7</td>\n",
" <td>19.664998</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" date hour SIS\n",
"timestamp \n",
"2001-01-01 04:00:00+01:00 2001-01-01 3 0.000000\n",
"2001-01-01 05:00:00+01:00 2001-01-01 4 0.000000\n",
"2001-01-01 06:00:00+01:00 2001-01-01 5 0.000000\n",
"2001-01-01 07:00:00+01:00 2001-01-01 6 0.000000\n",
"2001-01-01 08:00:00+01:00 2001-01-01 7 19.664998"
]
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"SIS_converted.head()"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [],
"source": [
"SIS_converted['hour'] = SIS_converted.index.hour\n",
"SIS_converted_mmh = SIS_converted.set_index(['date', 'hour']).to_xarray()"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [
{
"data": {
"application/javascript": [
"/* Put everything inside the global mpl namespace */\n",
"window.mpl = {};\n",
"\n",
"\n",
"mpl.get_websocket_type = function() {\n",
" if (typeof(WebSocket) !== 'undefined') {\n",
" return WebSocket;\n",
" } else if (typeof(MozWebSocket) !== 'undefined') {\n",
" return MozWebSocket;\n",
" } else {\n",
" alert('Your browser does not have WebSocket support.' +\n",
" 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
" 'Firefox 4 and 5 are also supported but you ' +\n",
" 'have to enable WebSockets in about:config.');\n",
" };\n",
"}\n",
"\n",
"mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
" this.id = figure_id;\n",
"\n",
" this.ws = websocket;\n",
"\n",
" this.supports_binary = (this.ws.binaryType != undefined);\n",
"\n",
" if (!this.supports_binary) {\n",
" var warnings = document.getElementById(\"mpl-warnings\");\n",
" if (warnings) {\n",
" warnings.style.display = 'block';\n",
" warnings.textContent = (\n",
" \"This browser does not support binary websocket messages. \" +\n",
" \"Performance may be slow.\");\n",
" }\n",
" }\n",
"\n",
" this.imageObj = new Image();\n",
"\n",
" this.context = undefined;\n",
" this.message = undefined;\n",
" this.canvas = undefined;\n",
" this.rubberband_canvas = undefined;\n",
" this.rubberband_context = undefined;\n",
" this.format_dropdown = undefined;\n",
"\n",
" this.image_mode = 'full';\n",
"\n",
" this.root = $('<div/>');\n",
" this._root_extra_style(this.root)\n",
" this.root.attr('style', 'display: inline-block');\n",
"\n",
" $(parent_element).append(this.root);\n",
"\n",
" this._init_header(this);\n",
" this._init_canvas(this);\n",
" this._init_toolbar(this);\n",
"\n",
" var fig = this;\n",
"\n",
" this.waiting = false;\n",
"\n",
" this.ws.onopen = function () {\n",
" fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
" fig.send_message(\"send_image_mode\", {});\n",
" if (mpl.ratio != 1) {\n",
" fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
" }\n",
" fig.send_message(\"refresh\", {});\n",
" }\n",
"\n",
" this.imageObj.onload = function() {\n",
" if (fig.image_mode == 'full') {\n",
" // Full images could contain transparency (where diff images\n",
" // almost always do), so we need to clear the canvas so that\n",
" // there is no ghosting.\n",
" fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
" }\n",
" fig.context.drawImage(fig.imageObj, 0, 0);\n",
" };\n",
"\n",
" this.imageObj.onunload = function() {\n",
" fig.ws.close();\n",
" }\n",
"\n",
" this.ws.onmessage = this._make_on_message_function(this);\n",
"\n",
" this.ondownload = ondownload;\n",
"}\n",
"\n",
"mpl.figure.prototype._init_header = function() {\n",
" var titlebar = $(\n",
" '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
" 'ui-helper-clearfix\"/>');\n",
" var titletext = $(\n",
" '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
" 'text-align: center; padding: 3px;\"/>');\n",
" titlebar.append(titletext)\n",
" this.root.append(titlebar);\n",
" this.header = titletext[0];\n",
"}\n",
"\n",
"\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
"\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._init_canvas = function() {\n",
" var fig = this;\n",
"\n",
" var canvas_div = $('<div/>');\n",
"\n",
" canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
"\n",
" function canvas_keyboard_event(event) {\n",
" return fig.key_event(event, event['data']);\n",
" }\n",
"\n",
" canvas_div.keydown('key_press', canvas_keyboard_event);\n",
" canvas_div.keyup('key_release', canvas_keyboard_event);\n",
" this.canvas_div = canvas_div\n",
" this._canvas_extra_style(canvas_div)\n",
" this.root.append(canvas_div);\n",
"\n",
" var canvas = $('<canvas/>');\n",
" canvas.addClass('mpl-canvas');\n",
" canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
"\n",
" this.canvas = canvas[0];\n",
" this.context = canvas[0].getContext(\"2d\");\n",
"\n",
" var backingStore = this.context.backingStorePixelRatio ||\n",
"\tthis.context.webkitBackingStorePixelRatio ||\n",
"\tthis.context.mozBackingStorePixelRatio ||\n",
"\tthis.context.msBackingStorePixelRatio ||\n",
"\tthis.context.oBackingStorePixelRatio ||\n",
"\tthis.context.backingStorePixelRatio || 1;\n",
"\n",
" mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
"\n",
" var rubberband = $('<canvas/>');\n",
" rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
"\n",
" var pass_mouse_events = true;\n",
"\n",
" canvas_div.resizable({\n",
" start: function(event, ui) {\n",
" pass_mouse_events = false;\n",
" },\n",
" resize: function(event, ui) {\n",
" fig.request_resize(ui.size.width, ui.size.height);\n",
" },\n",
" stop: function(event, ui) {\n",
" pass_mouse_events = true;\n",
" fig.request_resize(ui.size.width, ui.size.height);\n",
" },\n",
" });\n",
"\n",
" function mouse_event_fn(event) {\n",
" if (pass_mouse_events)\n",
" return fig.mouse_event(event, event['data']);\n",
" }\n",
"\n",
" rubberband.mousedown('button_press', mouse_event_fn);\n",
" rubberband.mouseup('button_release', mouse_event_fn);\n",
" // Throttle sequential mouse events to 1 every 20ms.\n",
" rubberband.mousemove('motion_notify', mouse_event_fn);\n",
"\n",
" rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
" rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
"\n",
" canvas_div.on(\"wheel\", function (event) {\n",
" event = event.originalEvent;\n",
" event['data'] = 'scroll'\n",
" if (event.deltaY < 0) {\n",
" event.step = 1;\n",
" } else {\n",
" event.step = -1;\n",
" }\n",
" mouse_event_fn(event);\n",
" });\n",
"\n",
" canvas_div.append(canvas);\n",
" canvas_div.append(rubberband);\n",
"\n",
" this.rubberband = rubberband;\n",
" this.rubberband_canvas = rubberband[0];\n",
" this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
" this.rubberband_context.strokeStyle = \"#000000\";\n",
"\n",
" this._resize_canvas = function(width, height) {\n",
" // Keep the size of the canvas, canvas container, and rubber band\n",
" // canvas in synch.\n",
" canvas_div.css('width', width)\n",
" canvas_div.css('height', height)\n",
"\n",
" canvas.attr('width', width * mpl.ratio);\n",
" canvas.attr('height', height * mpl.ratio);\n",
" canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
"\n",
" rubberband.attr('width', width);\n",
" rubberband.attr('height', height);\n",
" }\n",
"\n",
" // Set the figure to an initial 600x600px, this will subsequently be updated\n",
" // upon first draw.\n",
" this._resize_canvas(600, 600);\n",
"\n",
" // Disable right mouse context menu.\n",
" $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
" return false;\n",
" });\n",
"\n",
" function set_focus () {\n",
" canvas.focus();\n",
" canvas_div.focus();\n",
" }\n",
"\n",
" window.setTimeout(set_focus, 100);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('<div/>')\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items) {\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) {\n",
" // put a spacer in here.\n",
" continue;\n",
" }\n",
" var button = $('<button/>');\n",
" button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
" 'ui-button-icon-only');\n",
" button.attr('role', 'button');\n",
" button.attr('aria-disabled', 'false');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
"\n",
" var icon_img = $('<span/>');\n",
" icon_img.addClass('ui-button-icon-primary ui-icon');\n",
" icon_img.addClass(image);\n",
" icon_img.addClass('ui-corner-all');\n",
"\n",
" var tooltip_span = $('<span/>');\n",
" tooltip_span.addClass('ui-button-text');\n",
" tooltip_span.html(tooltip);\n",
"\n",
" button.append(icon_img);\n",
" button.append(tooltip_span);\n",
"\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" var fmt_picker_span = $('<span/>');\n",
"\n",
" var fmt_picker = $('<select/>');\n",
" fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
" fmt_picker_span.append(fmt_picker);\n",
" nav_element.append(fmt_picker_span);\n",
" this.format_dropdown = fmt_picker[0];\n",
"\n",
" for (var ind in mpl.extensions) {\n",
" var fmt = mpl.extensions[ind];\n",
" var option = $(\n",
" '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
" fmt_picker.append(option)\n",
" }\n",
"\n",
" // Add hover states to the ui-buttons\n",
" $( \".ui-button\" ).hover(\n",
" function() { $(this).addClass(\"ui-state-hover\");},\n",
" function() { $(this).removeClass(\"ui-state-hover\");}\n",
" );\n",
"\n",
" var status_bar = $('<span class=\"mpl-message\"/>');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"}\n",
"\n",
"mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
" // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
" // which will in turn request a refresh of the image.\n",
" this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
"}\n",
"\n",
"mpl.figure.prototype.send_message = function(type, properties) {\n",
" properties['type'] = type;\n",
" properties['figure_id'] = this.id;\n",
" this.ws.send(JSON.stringify(properties));\n",
"}\n",
"\n",
"mpl.figure.prototype.send_draw_message = function() {\n",
" if (!this.waiting) {\n",
" this.waiting = true;\n",
" this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
" }\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" var format_dropdown = fig.format_dropdown;\n",
" var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
" fig.ondownload(fig, format);\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
" var size = msg['size'];\n",
" if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
" fig._resize_canvas(size[0], size[1]);\n",
" fig.send_message(\"refresh\", {});\n",
" };\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
" var x0 = msg['x0'] / mpl.ratio;\n",
" var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
" var x1 = msg['x1'] / mpl.ratio;\n",
" var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
" x0 = Math.floor(x0) + 0.5;\n",
" y0 = Math.floor(y0) + 0.5;\n",
" x1 = Math.floor(x1) + 0.5;\n",
" y1 = Math.floor(y1) + 0.5;\n",
" var min_x = Math.min(x0, x1);\n",
" var min_y = Math.min(y0, y1);\n",
" var width = Math.abs(x1 - x0);\n",
" var height = Math.abs(y1 - y0);\n",
"\n",
" fig.rubberband_context.clearRect(\n",
" 0, 0, fig.canvas.width, fig.canvas.height);\n",
"\n",
" fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
" // Updates the figure title.\n",
" fig.header.textContent = msg['label'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
" var cursor = msg['cursor'];\n",
" switch(cursor)\n",
" {\n",
" case 0:\n",
" cursor = 'pointer';\n",
" break;\n",
" case 1:\n",
" cursor = 'default';\n",
" break;\n",
" case 2:\n",
" cursor = 'crosshair';\n",
" break;\n",
" case 3:\n",
" cursor = 'move';\n",
" break;\n",
" }\n",
" fig.rubberband_canvas.style.cursor = cursor;\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_message = function(fig, msg) {\n",
" fig.message.textContent = msg['message'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
" // Request the server to send over a new figure.\n",
" fig.send_draw_message();\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
" fig.image_mode = msg['mode'];\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Called whenever the canvas gets updated.\n",
" this.send_message(\"ack\", {});\n",
"}\n",
"\n",
"// A function to construct a web socket function for onmessage handling.\n",
"// Called in the figure constructor.\n",
"mpl.figure.prototype._make_on_message_function = function(fig) {\n",
" return function socket_on_message(evt) {\n",
" if (evt.data instanceof Blob) {\n",
" /* FIXME: We get \"Resource interpreted as Image but\n",
" * transferred with MIME type text/plain:\" errors on\n",
" * Chrome. But how to set the MIME type? It doesn't seem\n",
" * to be part of the websocket stream */\n",
" evt.data.type = \"image/png\";\n",
"\n",
" /* Free the memory for the previous frames */\n",
" if (fig.imageObj.src) {\n",
" (window.URL || window.webkitURL).revokeObjectURL(\n",
" fig.imageObj.src);\n",
" }\n",
"\n",
" fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
" evt.data);\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
" else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
" fig.imageObj.src = evt.data;\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
"\n",
" var msg = JSON.parse(evt.data);\n",
" var msg_type = msg['type'];\n",
"\n",
" // Call the \"handle_{type}\" callback, which takes\n",
" // the figure and JSON message as its only arguments.\n",
" try {\n",
" var callback = fig[\"handle_\" + msg_type];\n",
" } catch (e) {\n",
" console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
" return;\n",
" }\n",
"\n",
" if (callback) {\n",
" try {\n",
" // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
" callback(fig, msg);\n",
" } catch (e) {\n",
" console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
" }\n",
" }\n",
" };\n",
"}\n",
"\n",
"// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
"mpl.findpos = function(e) {\n",
" //this section is from http://www.quirksmode.org/js/events_properties.html\n",
" var targ;\n",
" if (!e)\n",
" e = window.event;\n",
" if (e.target)\n",
" targ = e.target;\n",
" else if (e.srcElement)\n",
" targ = e.srcElement;\n",
" if (targ.nodeType == 3) // defeat Safari bug\n",
" targ = targ.parentNode;\n",
"\n",
" // jQuery normalizes the pageX and pageY\n",
" // pageX,Y are the mouse positions relative to the document\n",
" // offset() returns the position of the element relative to the document\n",
" var x = e.pageX - $(targ).offset().left;\n",
" var y = e.pageY - $(targ).offset().top;\n",
"\n",
" return {\"x\": x, \"y\": y};\n",
"};\n",
"\n",
"/*\n",
" * return a copy of an object with only non-object keys\n",
" * we need this to avoid circular references\n",
" * http://stackoverflow.com/a/24161582/3208463\n",
" */\n",
"function simpleKeys (original) {\n",
" return Object.keys(original).reduce(function (obj, key) {\n",
" if (typeof original[key] !== 'object')\n",
" obj[key] = original[key]\n",
" return obj;\n",
" }, {});\n",
"}\n",
"\n",
"mpl.figure.prototype.mouse_event = function(event, name) {\n",
" var canvas_pos = mpl.findpos(event)\n",
"\n",
" if (name === 'button_press')\n",
" {\n",
" this.canvas.focus();\n",
" this.canvas_div.focus();\n",
" }\n",
"\n",
" var x = canvas_pos.x * mpl.ratio;\n",
" var y = canvas_pos.y * mpl.ratio;\n",
"\n",
" this.send_message(name, {x: x, y: y, button: event.button,\n",
" step: event.step,\n",
" guiEvent: simpleKeys(event)});\n",
"\n",
" /* This prevents the web browser from automatically changing to\n",
" * the text insertion cursor when the button is pressed. We want\n",
" * to control all of the cursor setting manually through the\n",
" * 'cursor' event from matplotlib */\n",
" event.preventDefault();\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" // Handle any extra behaviour associated with a key event\n",
"}\n",
"\n",
"mpl.figure.prototype.key_event = function(event, name) {\n",
"\n",
" // Prevent repeat events\n",
" if (name == 'key_press')\n",
" {\n",
" if (event.which === this._key)\n",
" return;\n",
" else\n",
" this._key = event.which;\n",
" }\n",
" if (name == 'key_release')\n",
" this._key = null;\n",
"\n",
" var value = '';\n",
" if (event.ctrlKey && event.which != 17)\n",
" value += \"ctrl+\";\n",
" if (event.altKey && event.which != 18)\n",
" value += \"alt+\";\n",
" if (event.shiftKey && event.which != 16)\n",
" value += \"shift+\";\n",
"\n",
" value += 'k';\n",
" value += event.which.toString();\n",
"\n",
" this._key_event_extra(event, name);\n",
"\n",
" this.send_message(name, {key: value,\n",
" guiEvent: simpleKeys(event)});\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
" if (name == 'download') {\n",
" this.handle_save(this, null);\n",
" } else {\n",
" this.send_message(\"toolbar_button\", {name: name});\n",
" }\n",
"};\n",
"\n",
"mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
" this.message.textContent = tooltip;\n",
"};\n",
"mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
"\n",
"mpl.extensions = [\"eps\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\n",
"\n",
"mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
" // Create a \"websocket\"-like object which calls the given IPython comm\n",
" // object with the appropriate methods. Currently this is a non binary\n",
" // socket, so there is still some room for performance tuning.\n",
" var ws = {};\n",
"\n",
" ws.close = function() {\n",
" comm.close()\n",
" };\n",
" ws.send = function(m) {\n",
" //console.log('sending', m);\n",
" comm.send(m);\n",
" };\n",
" // Register the callback with on_msg.\n",
" comm.on_msg(function(msg) {\n",
" //console.log('receiving', msg['content']['data'], msg);\n",
" // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
" ws.onmessage(msg['content']['data'])\n",
" });\n",
" return ws;\n",
"}\n",
"\n",
"mpl.mpl_figure_comm = function(comm, msg) {\n",
" // This is the function which gets called when the mpl process\n",
" // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
"\n",
" var id = msg.content.data.id;\n",
" // Get hold of the div created by the display call when the Comm\n",
" // socket was opened in Python.\n",
" var element = $(\"#\" + id);\n",
" var ws_proxy = comm_websocket_adapter(comm)\n",
"\n",
" function ondownload(figure, format) {\n",
" window.open(figure.imageObj.src);\n",
" }\n",
"\n",
" var fig = new mpl.figure(id, ws_proxy,\n",
" ondownload,\n",
" element.get(0));\n",
"\n",
" // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
" // web socket which is closed, not our websocket->open comm proxy.\n",
" ws_proxy.onopen();\n",
"\n",
" fig.parent_element = element.get(0);\n",
" fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
" if (!fig.cell_info) {\n",
" console.error(\"Failed to find cell for figure\", id, fig);\n",
" return;\n",
" }\n",
"\n",
" var output_index = fig.cell_info[2]\n",
" var cell = fig.cell_info[0];\n",
"\n",
"};\n",
"\n",
"mpl.figure.prototype.handle_close = function(fig, msg) {\n",
" var width = fig.canvas.width/mpl.ratio\n",
" fig.root.unbind('remove')\n",
"\n",
" // Update the output cell to use the data from the current canvas.\n",
" fig.push_to_output();\n",
" var dataURL = fig.canvas.toDataURL();\n",
" // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
" // the notebook keyboard shortcuts fail.\n",
" IPython.keyboard_manager.enable()\n",
" $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
" fig.close_ws(fig, msg);\n",
"}\n",
"\n",
"mpl.figure.prototype.close_ws = function(fig, msg){\n",
" fig.send_message('closing', msg);\n",
" // fig.ws.close()\n",
"}\n",
"\n",
"mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
" // Turn the data on the canvas into data in the output cell.\n",
" var width = this.canvas.width/mpl.ratio\n",
" var dataURL = this.canvas.toDataURL();\n",
" this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Tell IPython that the notebook contents must change.\n",
" IPython.notebook.set_dirty(true);\n",
" this.send_message(\"ack\", {});\n",
" var fig = this;\n",
" // Wait a second, then push the new image to the DOM so\n",
" // that it is saved nicely (might be nice to debounce this).\n",
" setTimeout(function () { fig.push_to_output() }, 1000);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('<div/>')\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items){\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) { continue; };\n",
"\n",
" var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" // Add the status bar.\n",
" var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"\n",
" // Add the close button to the window.\n",
" var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
" var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
" button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
" button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
" buttongrp.append(button);\n",
" var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
" titlebar.prepend(buttongrp);\n",
"}\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(el){\n",
" var fig = this\n",
" el.on(\"remove\", function(){\n",
"\tfig.close_ws(fig, {});\n",
" });\n",
"}\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(el){\n",
" // this is important to make the div 'focusable\n",
" el.attr('tabindex', 0)\n",
" // reach out to IPython and tell the keyboard manager to turn it's self\n",
" // off when our div gets focus\n",
"\n",
" // location in version 3\n",
" if (IPython.notebook.keyboard_manager) {\n",
" IPython.notebook.keyboard_manager.register_events(el);\n",
" }\n",
" else {\n",
" // location in version 2\n",
" IPython.keyboard_manager.register_events(el);\n",
" }\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" var manager = IPython.notebook.keyboard_manager;\n",
" if (!manager)\n",
" manager = IPython.keyboard_manager;\n",
"\n",
" // Check for shift+enter\n",
" if (event.shiftKey && event.which == 13) {\n",
" this.canvas_div.blur();\n",
" event.shiftKey = false;\n",
" // Send a \"J\" for go to next cell\n",
" event.which = 74;\n",
" event.keyCode = 74;\n",
" manager.command_mode();\n",
" manager.handle_keydown(event);\n",
" }\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" fig.ondownload(fig, null);\n",
"}\n",
"\n",
"\n",
"mpl.find_output_cell = function(html_output) {\n",
" // Return the cell and output element which can be found *uniquely* in the notebook.\n",
" // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
" // IPython event is triggered only after the cells have been serialised, which for\n",
" // our purposes (turning an active figure into a static one), is too late.\n",
" var cells = IPython.notebook.get_cells();\n",
" var ncells = cells.length;\n",
" for (var i=0; i<ncells; i++) {\n",
" var cell = cells[i];\n",
" if (cell.cell_type === 'code'){\n",
" for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
" var data = cell.output_area.outputs[j];\n",
" if (data.data) {\n",
" // IPython >= 3 moved mimebundle to data attribute of output\n",
" data = data.data;\n",
" }\n",
" if (data['text/html'] == html_output) {\n",
" return [cell, data, j];\n",
" }\n",
" }\n",
" }\n",
" }\n",
"}\n",
"\n",
"// Register the function which deals with the matplotlib target/channel.\n",
"// The kernel may be null if the page has been refreshed.\n",
"if (IPython.notebook.kernel != null) {\n",
" IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
"}\n"
],
"text/plain": [
"<IPython.core.display.Javascript object>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
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1jvxEIpVUGYbMSmKV/DDzjnStlwjQCgGpWYAxwDIWvx755y/BPB9ALKBe7LeOZePvvTcvs3pf5djxhWafxjApQB+6ljWxmIepwvARwF8BMAtAJ4D4EjM3xucL4PzANy3TAY2AD4VwI8c0/TECl0gbmz5X/SQbSp6L8Fz4cuTDxU9bCvgrRLDrP0jUs8pAzNPsgCysoAjNmcABcA/G6i6FZz9dzddLbodAP/34RpjALz0QI/ILeA1GaO7FONcqSCnWACvBvB0AKcAHHbWU7EK/ocTatUG4KhjyIk2KV498QSKm/cVDiDGTvzy9SvWwSsAfDNd/Z8Lv2Nr+hf/1HcccLrIEU7MtWK6jQUm+ZNY2H7mmII/7VjbnhEjtvjQxIUssXliCo49mAAo8YoSj3ACwN/G6XyJb3jX8r8pAPJeFRoA1nAsgAtVRRQxFko5MYARr60p4NGPrWVgzumhAEh5HdLSqNsB8KcP1aLYYCeQ6ckw/uLgio4wieGTtXD5IRwgoWA3yNB3wqnE/ft+58QnOmusfH0vZZc4x1cBiJfuhU7ol7iQ9y5rXLyLsvZKWJkelhSwNftLp4g7V+Cv17m3eAAovnyxDEqyxWoAKO1JnGEiAHzSMlCUuAH52og9ErmAxXwnpmr50rkEwErWP2lPLYCWBl6yzbAAENs5WcALVZwYQNZOIBFOaCGvDuA4JwnEO0CKAdSt4JJ91TPuPAXAPwJgshZASfb8kBPPLzGA4tkTb59YACW5Mx4Afs0BRrlerIgrAaCEk70TwL9k3EBx8Q3ZAEBJ7HguAMm67YjRIl0uYDG5xG7sKvEEseZquaXVAFDgT75AJBNY7nlkDf2pMYBrECuVUxUAz6mmAHhOhwIFwCUdNAkkldlkbde4HQB/9FCdsQXw6QclYivpGEDxF38AwD/HKP0OJ/5P4v9ljVUX8NqGIfVsEwCUayVVW5IrxGoWm8YdHTRC7S9yrGvyb3ucMjHLk0DEHxctmCUxBPIVsWmFOAPbLuAo/El5GSlDI/e7lkMBcC1qpXCur7o6hasSXxLZLsPL/hGsZlkAOS5gsOoAznPqAPpJhaB1L2D774LbW3Q7AN75YIMxAF52aMmmk2wSiBhPBPhi3bSS8ftyZ+2PJoFIAogkgsgha6is/cuTQKQSh1T+kENiCsUbqEkgll8qEwD8hJPhK9a/2Np/Uk9Psn7kkIEgsXzSueJWFWCUQ0zBckTLwEhmj8QNSO2gLwH4bEwZGDkvmiQi/y6/JYAoviDJFop3lACQxBQ5JJlEzNASeyi+HglskMBScftKssmzltUmlHOS8TUpAFoekMub823cQPmFUAMnBnBuEycGMGgQy7OagBGPyRQQv+X8aQ4AFg2uFHtuPkR8/aRC0D3RiBjze4xtQS2AdvVcqTUFwDDWCIBS808SKSUMS1zAkuwhYV7/5sT8i8xSBkbCv8TNK3QpZWAOrVAGRmJ0pCJItAyMZARrGRjLw95k9o9XQUxoXwaCHNFC0GIFjC0EvbTBoHNIyRUBRbEiSvKHxArIAIkWgpbTVvotsU1LjcB4h7QnwLf8kPYFSOXaWJd17HliDRRrY6JDATCRQoZ/923mWOoWdnOygGc3y5C3f8yXm7yq8e8nQrIA5s9yCgwWDi/YFxdAUQcJADuSqSa19keKLHJ0WPudZO8VbgfA7z3YiGKD5LHpyRAuPySl+pK2AEpVDAE68QrKxC2Gnf90qn1EDSrRQtDi6ZMir3c7m0NI1nD0kELQEloWWwj69VoI2v67xllV7N9npraoAEjuGd8mKQdp/wjVi7HZ/jG/kWMBnC8jZWuQAJCVBVw4wgGfgl4SAHaRLIAKgPZf3mUtuh0Av/PgTmMAfM4hCdlLGgDpfaI/YFcBBUAzPRUAzfRLeDXLAsgCwLmNHAvgQgkHAFkuYC9pK7jCkWQiMxIOqz87oaBHAXDtqmX3FQqAISgAZvcYVwA0618FQDP9El5NA8AaThmYYDUHAIMGrpzVRI6Qckt8pK3gCoc5AEiLAezlbFygLuCEU4fxCW4HwG8+sNvYAvi8w0u5nckmgRhrrg2kVwEFQDO9FQDN9Et4tQLgOYlYO4Ek7IAUT/DNSB1Y+0fBWRIA0uoAxoY729NDAdCelvFacjsAfuOBPcYA+NeHl0LzFAD5w21dfkEB0Ex2BUAz/RJezQLA8HZObGGQtRNICcdUl8fJ1YB3lgSAY5wsYO+Z2N0qEw7LpE8I9SkAJi1Whp2oABiCAmCGDUrLt6MAaCaoAmBUvzxOjJpvCycLOLyNU14mWMVxAS8UcwDQbPjHv5pmAVQAXBJdLYCskfundt0OgF97oAkBg9CRmckQrjgsO6OqBZA/2tbnFxQAzXRXAGQD4FZOrN5iLQcs5zcu3/rabIBFr6bFAJJmgPwZTh1APysJpI9jAQz39NkZAMtaCQc5rnDKzbq0UbcD4Ffu32cMgFceWSq1qy5gl47hRLdNmv4T/WzW/F0BkA2ANZx6fcFGDgDObCmgDO4gKQuYcrNSvZVVCHo4tjyovbsv7CYBIKkOoAKgvb6P15LbAfDL9x8wBsCrjjysAMgfauv2CwqAZtIrALIBsDZ2m2ezzoq9OljPiQGkASBrJxDSDMAqBF00xAJA2cDI/hFp5xSCDs/P2b9ZbfFRCigAhqAAmN0vBWn6z27RYp5OAZANgCwLIAkA52guYNKrSkoCyZ/hNFw4yikE7WdZALtJLmAFQPoi43YA/NJ9B40tgC8++pBaAOkjbf1+gLSqrN8DpfmXFQDZAFhXQ+nS+QZOEsjsZtm60v7BcgHnhTig5uMk64K2FVw3xwIY7uixPxgAqAWQImtWWQA/f99hYwB82dEHFAD5Q23dfkEB0Ex6BUBHvzwvJ0vVSwLAuUYOAM5V+8xGVJyraQAYIQEgay/gEZILuG+C0m+RdhIAzs5S7lcb/ZMCbrcAKgDqaE6kgAJgIoVW/7sCIBsAa3aY9VA8oKqV/cbtH3MbOEkg8+WcMjusreBYMYAsC2BhDwkAOxUA7b9l6WnR7QD4b384amwBfMV596kFMD3DbV1+RQHQTHYFQDYAkiyA8w3VZj0f5+rZjRwX8HwZBwDBMQCCFQNYNMSJASxiuYC7einjLKwWQIqusY26HQA/84fzjQHwVefdqwBIH2nr9wMKgGbaKwCyAdBlFsD5Ko4FcIFUBiZCmgFYAFjIqgM4wLEAhllJIAqAZjN3ElcrAIagAJjEQHHxKaTp38WKrO3WFQCjAOjjWL68rDIwNRwXcLCCo8NiEelVJVkAfXOchv2jnALI+adJANjbv7YZJcmz1QKYpFAGp7kdAD/1h/NRVJJ6TPLs1CKuUQugwQjK/EtJq0rmP7ilO1QAZAPgDk4h6IUdlZaGwKOb4VkAOUk2EZJn2UdKAvGzysD0k7KA1QJIec/S0ajbAfCTf3isMQC++rzfqQs4HYNtnX5DAdBMeAVANgDWk8rA1LAAkGMBXAhwXtU8zo5tYFkAC8Y5WcB+VhYwKwZwZsZs5tKrEyqgALgIBcCEw8TVJ3BWFVdLsqabVwB05PIUcGLf8nbWr6lDkj15trEi2VPXdN7MRo6lbr7cXa9qwSTHBRwYDK2pP5I9OdA9meypazuPVAYmNDW1tvvQs9esgNsB8I57H29sAXzt+b9VC+CaR457LnDXqpJ5uioAkgHQ01BL6fW5Gg4AzlemHnOz2oMGS0ivKqlZlgu4iLQXsL+fEwOILk4MoAIgZVp4VKNuB8CP3fsEYwB8/fm/UQDkD7V1+wXS9L9uz5PuH1YAZANgLakO4HYWAHJcwEHSXsCsF4aVBewf45SBKThNsgB2D1AkDk2S7pdyt+5s1O0A+JHfP9EYAN/0mF8pALpz+CZ11wqASckU9yQFwCgA+gvNlIxztaeBEwM4W1tOud/5Ko4FkBUDyKoDyIoBLBzluIALSTGANAugAiDl/Y1tVAFwEQqA9GG2rj+gAGgmvwIgGwBrOFnAQZYFsIpkASTVATQb/vGvLpjiZJf4z5IsgKQ6gJG+0xSJ1QVMkTWrXMAf/v1FxhbAtzzmbrUA8ofauv2CAqCZ9AqAUQAsKjJTMs7VeY0kC2ANxwLI2gt4gRUDSOk1wEuqA1hEsgAWdXOSKvI6+ygKh8Y5ZWsoN+vSRt1uAfzg755kDIA3PPb/FABdOn6TuW0FwGRUin+OAiAbAHdykkBmGjgAOLOBlAVcyXlVw5zbhW/e7MWKd3XREMeyWNoxS7lh76luSruh0bOUdrXRPymgALgIBcDsfiM4q0p2axb7dAqAbADcVUcZTTN10nX2j9lqDlEFyzivKgsAvZwNOxAgAWBJ17T9wQDA08rZC1gBkNJdj2rU7QD4gd9djEKDnUDmphZx42PvUgsgf6it2y9wVpV1e5y0/7ACYBQAAwGO+Ls5dQBn6ksp98uyAC5wbpeigTTq4/AUill1AHtYLmBSGRi1ANLGbrRhtwPgrfc8xRgA3/a4nykA0kfa+v2AAqCZ9gqAjn7ekhIzJeNcHSG5gKcbOEQ1s4llAaTIiwjnduHjeFRBcwF3zVEE9rVwLICLQ8OU+9VG/6SAAuAiFACz+41QADTrXwXAKACWcoAqspsTAzhdxwFWmgWw2GygxruaNQF4OTyFomFODGBxL4dYfe0cC+Di4BBnQGirf1TA7QD4nnsuNbYAvvNx/6sWwCx+J1jzfxZL9qhHUwBkA+AuThbwFMkCOMvaCo4Tsgh4OK8qzQI4zNlirrSTBICtnCxgBUDOuGW3uhhZwM/xbTZULa1LN//2qcYA+K7H/4R9r2zJtf1VFFAANBseSy/a+Pg4ysrsrtBP81xhdmdZcrW3nJOtG6ZZFjmmutlqDqktcAyhiJBmlnxSbKHrLIsdnB1GFs8MZsnMkZmPoQCYmf2Sq3dFmqZzRk4FQHJXuw0Ap+o5ADizmQOAQQ5fg5ZdTCovUzjCGchlXZx06MLjJNdyH6ddjrruazWdAPgPSxbA1AvTz00t4Ba1ALpvkK3hjhUA1yDWCqcqAJrpl/BqFgBGdnL2GJ6u5ZjU5qo4ADhPKi9Dcy3PJBwyKZ0QIGUXF/dybtjbdSal50x0kVoAEylk9vd0AuA7fvN0YwB87xN+tBYXcCeAlep2fQLAawDIfqG3A7gSgB/ADwFcByB2MEvQ9ycBPAWApOZ/AcBNABbNlNerV1JAAdBsXCgAmumX8GpvVWXCc1I5IdTEqS840cjZEWVmI+dVDVakol7ia1guYFpsISmnoryDY7L0n+RsMbfYy4lZTDxicuOMdALgTb/+S2MAfP8FP1gLAG4EEFtX4ACAHzsw93MH7C4H8DIJnQJwBwDJ6rrQ6X259n4AMrivB7AVwBcBfAbA23JjhKT3KTmrSnqfYT1/TQGQrL63gkQotTK32D/mtnIsgMEyTr2WhWLSFMDJ1YA3yGnYP8HJLi48zbEAeno5sXpqAbQ/J8S2mOUAuFy8jwJ4FoDdAGStlM+sqwB83TmxCcBxABcA+A2AywB8F4BsAB+1Cl4L4DYAApeceApul2d066TZP6Of2ebNKQDaVHOFtnwbN1B+YWEvxwU8Wc+xAM5VcV5VVhJIXojSbfBxeIpWXqakl2MBzG8nuYD7OZZFRDiAzRllvFbTCYA3/voy+A1iAOenFvCBC+5ciwUwVrgCABJQ+o8AbgVwKYCfAhCXzljMiV0ABBQ/AuAWAM8BcCTm7w0A2gGcB+A+Xs/kZsucVSV3tFQAJPe1r7qa8guLeznlZSYaOADoNhdwHsdQBy+nWguKSOVlWEkg/laSBbCb5AJWAFyax9IJgNf/6nJjAPzQE78nty1fy5MxE7F81ST6snkBgC8DkJg+AUGx/H3Oif2LndPvASDbjbwVwKedGMJnxJwgW0xJ7v8zASzRqB72FFAANNNSAdBMv4RXu80C6LYYwAW71YsS9qfpCT7Ojm0IDHGItbSH47VSADQdSetzvUsBcLlYNwN4dwIFJcFDBv+znfPiAeDvHMvgjUw0Eb4AACAASURBVAkAUNzDSwGJethTQAHQTEsFQDP9El7t2yShH/aPYBPJBVwniW72j9lqzqvqtj2GvYnsDilKXzia4oUJLivt5gBg0SlO1spiVw9HCLUALumaTgD8+18+y9gCePuFEpK3ZgugZNiJ2/b5wLmq1+oC5rxWpq1yVhXTu3LP9QqA5L7ybd5E+YVgMwcAxxukuoH9gxUDuMjJWTmX20c4WFvMFZ4l3CwAGgC2cvYCXuzo5gihAJh2AHzjL59jDIAfvfA7ct9SLXRiDQNDrIPXAJA4m2j5FmlDvlpeBOAbTlt7AJxcIQlEMvSiMQ5XA/gQAFkISJ9/a3iyLDtVAdCsQxUAzfRLeDUNAFkWwFp3AWCQ5AJmxQB6FhIOmZRO8MeGpafUwsoXlfRxypcVn+RUrg61Syk3+0ckRMoKsn+r1BbTaQFcJwCUgqUdAP4TgLh1Yw+p7yexfFIGRoDy484fn+j8N1oGRmIGbwCwBcCXAHxWy8BwhqUCoJmuCoBm+iW82rdV5gD7R3CvVBqwf0zWcABwvpLzqgZL7WsgLbJAjVUHsHCUEwPIygIu6CIBYE8vZUAoAJ6TNZ0A+Pq7n2tsAfzYRWvet/jpToHnvQBOLRtM0ULQYgWMLQQdm3ou7mMBxUuc5A8pBC0gyfmSoox29zTKWVXc8/ymd6oAaKpggut92zj1+uZZAFgn1Q/sH7QYQJYF0GUuYD8pBrCsm2OyLGojAWCHVOWwfygAph8AX3v384wB8I6Lvik3vlYXsP0BpC1SFFAANJNVAdBMv4RX+3ZsT3hOKifM7uOA5UQ9BwDnqlJ5ysTXsGIAWRZAWgwgJ6QOpb0kAGznEGuIFAMYWeTokHiEZ9YZ6bQAKgBmVt9n4t0oAJr1igKgmX4Jr2YB4FwzCQBrOQA4z9kRD7QsYI5HFTQAZCWB9HI8V4FWEgC2kSyACoBLc106AfDV//d8YwvgJ5/032oBTLhKufcEBUCzvlMAjOqXJ7G/9g9fDSdWb4ZmAcy3LwKAOc6GKAhWkEiNogLgneFMWUUkC2B5BwcAi1s4xBpu5wBgOMgph0MaZrRm0wmA1/zir40B8FNPXkrYVRcwbUSsb8Oc2XR9nymdv64AqAD4qPE2UU8CQM6GKK4DQE+QM2UVckLqUNbJyX4tbRmnzHORk1K+zf6hAHhO03QC4NV3XYECg63gglML+PTFX1MAtP86ZEyLnNk0Yx6PfiMKgGwA3LqZ0omL9Zx2p7dxCkEHSzmv6kIxp10Px/AFVrsFU5yslaIhTuybv28tZdmSf4XUApi8VqmcqQCYimp6DUsBzuzPutvMa1cBkA2AdZw9e2eaOQWmWRZAVgwgqwyMl+TxY+0E4ud4VFHawyHhQCfJAthCcgHPz2Xe7L0Od5ROAHzlXS8wtgD+68VfVQvgOoyTdP2kAqCZ0gqAbACsJWUBN3HqC07UkVzApCxgVhIIy1LnmzF7YeNd7bZC0IEOTuXqSCtnJ5CwAmDaXcAv/7kAYOpJacGpID53iQIgZ8bJjFYVAM36QQGQDYAkC+DsXo4FcHIHBwBZlroFVh1ATugbPCTLop9jUENJv8ssgG0kAJydNZtps+TqdFoAFQCzZNAQH0MB0ExcBUA2AO6sN+uhOFdPHthIaXeiXnYzsn/w6gBysoC9c5ypJX/SvrbSIisJpLSHEwNY1M0h1kh7D0XgsAJg2i2AL/3ZlcYWwC885SvqAqa8EZnRqMksfROA5wNoAiCfd78C8FZnc+fo00W3frly2dYvZ2Iev9bZ+uUpAKYAyNYv0nb001kKtt0O4HwAuwF8DMAbk5DvyQCud66TNp4H4FvLrpPnvxnAqwBUAPglgFcDaEmifTlFAdARKs/LAR9vIwsAOXVVxhs4OsyRsoAXSzjJDzwANJmy4r/VLAAs6eeYQgOdHBLOI1kAQ1MyteuRTgvgi3/2ImMA/NJTZEtfLQOTrSPXZDb9AQD5PPgdAB+AWwEcALDP2cNPNJM9/S53Nn+WT9Y7AMiKc6EjaHTzZ9kLUGBNQO2LAD4Ts/mzEMCbANzr/PeuJAHwMud3/gBAihmtBIACrAKbsjm11D94D4CDzjMkE7WsAMgGQJILeG4nBwAnazgu4PkKk1c1/vTFigGMcMpC0vYYLuCE1KG0lwOAxR0KgG5clBUA3dhr2XvPNlcV8akNArgYwC+cr4YhAFcB+LojoVgLjwO4AMBvAAikfReAVPuNWgWvBXAbAGlvecTPzwHcnyQAxvaa+LmWA6A8e79jXfywc7IUvJT7ECBcsn0nOBQA2QC4qyFRH6T098l9HJPa2d0cC+DsVo6rNhzgAArCNqeWP3Wxd5pDloWDnPst7eFYWMtaplMa94ku8pzsTHRKSn8PTXKANaWbWceL0gmAV/3vVcYWwC9f+mW1AK7jeGH/tM1Zb5fjOhUL2sMALgXwUwCyiVXs97XUGfgogI8AuAXAcwAciXlQWfHFGncegPuWCWATABsBtAE46kBl9KfEwiiQ+YYVxPc7ruzon0oB9I6Pj6OszG40/dM8V7D73mr7NBfwbukm+8f4AQ4AjjdwAGVuEwcAFys4SQqI2Jxa/tT/nlmOvoWDnHbLOjn9Vt5KAsATnDIwoXFOzKL9mYHbYjoB8Mqf/p0xAH7lL/5dAZA7JNa1dVuztMye33Hi6C5ynkgsf59bBkzyp3sA/MyJF/w0gDoAz4hRIeC4kJ8J4E4iAD7RifkT6+NAzO9I3rvM2i9coWfeDeBdy/9dARCgAWCDDA/7x8xuDgBO1pJcwGKbJhxBUrt5HMOX67KAi/s5QpR0kwDwJCcLWAHw3MubTgB8wU9fjIJigzIw00F89S++pABImHczpUlbACixfuLOFfjrTQCAEjMolsEbAawGgNKexBnGHitZAJ+0DBSvAfAfy65byQUcDwBl7xvxi0niyvJDLYBxRm6ejwM+3npSIWgWANJiADlTBgsAWTGAvmQic1OQilUIuoQUA1jSxQHAvFZOFrACoAJgCq+lXkJWwAYASmLHcwFI1m1HzP2mywVcBCC2WrDE8C0POFkJAFNxAS/vDo0BdBRhAaCnieUClsgE+8dEHceVOLeR40pcLOPEAOZxbheeKU6MZeGQjanwz8dTaQ9HCJoLuIUEgKOkrVbsv8LUFtNpAbzipy9BvoEFcGE6iK/9heRkahYwdVCsY+Mms55c+3EnueKSFUqniHNJkkBe5GThymPuccrELE8CkexfSSCR42oAHwIglXrnl2ljMwYwmgQiCSBSZkYOATq5D00CWeOg9BSk7mpY9aeaJbTU/nH2EMf3Ob7T5JWK/5zzmzmg5i0nVVYmEeDiNMfSXDDIabeUE1KHilPLp0Y774j/Yc4NLw4N27lBl7eSTgD865+81BgAv/FUqcqmAOjyYRf39k1Wq084Gb5i/TsZ8wsS7Rst+y6uYYnlE6CS3csFGOUQ96sc0TIwko17AwDZn0uCDj4bUwZGzosmici/y28JIMrKdWyVjikBEKUHSSZ5sxN7OAogGugiZWDEFf1Sx3opZWAOaRmYtQ93FgDm7ebUAZxo5uytxrIAznNuF6FiTowaQiZTS/zx55vmtMvaCq54gKNvSQ/HF55/MhrBs/Y5YLUrFADPqaMAaHdcaWtmCpjMpvF8Gy8H8HnntqKFoMUKKPFzPwRwHQCp+xc9JMpfQFGsiBLYIp8cAmWx6Ykr/ZZ8qq5GB9KeJJssP6R9AVI5ooWgxeoohaDvdu7vVJKyqgvYEcptADi1m+MCntrOcVEG7SaZ/3F4L0rKFeFgJYF4STuKsbaCKx7gWG4DvZxNkb0d8i1u/1gcGbHfqAtbTCcAPu/HLze2AH7zaZLHqRZAFw61pG7ZBACT+oEsP0kBUAHwUUOcBoBScIhwhCSClnDkkarL5HNyH1BAqlJSPMgRonCAQ8LertiCCPYGhloAz2mZTgB87o9eYQyA3376vykA2nsNMq4lBUCzLlEAjAKgX4y9hOMAJwZw5BCHqCbrOa/U/GYOSPgqOLFkkTAnGSY0zok19Q9yLLclnKoqqGjjuIALTpIsgAOxTh/CPOGSJhUAXdJROXKbnNUqR8TTvYD/1NGeIo4pKbKfA4CjByVE1P4x0cB5pea3Ldi/WQCBSo4lyePhZL/OznAAMDIsESr2j+JuDghXtnA+CEruJwFgNye20H6PcVtMJwA++0evNLYA/s/T/1UtgNwhsa6tc1ardX2ktP64WgCjFkASAIYPS+K4/WP4aLH9RgGM7+aADzZzLD5lZRwAjJBkmJoifWgMkgCwkwOAVSQADDykAEiZGJxG0wmAl//w/xkD4PeeIXmXGgPIHBPr2bYCoJn6CoBRAAxwsgkWH7PXrIfiXD10lAMSE7tJQf/bpig61FTG7tJo7yc8pDIwA5OcbJizpzkhAcXtnPIyVSc446z0geiW7PbGgrS02EHyhUc4WdZ2n/5PrSkAspTVdlNRQAEwFdX+dI0CIBkAw0dIFsDDHGAd38UxfeVt5VgAt1Rzsh/yPRxAGZriuO6nBzkW4UCXz2yGiXN1RQsHfMrvi5ZjtXvbi22ddhuMtqYAuJKuS+vSZT94lbEF8M6//IxaADkjNyNaVQA06wYFwCgAklzA2NNg1kNxrp5o5liSJrdzXH4LHAMVQkUcYEWEM7V4OTkryF++d5ClURcY5Ohb3M+JCS08xUnWWOzhuJahABgXAJ9x59XGAPjDy2S3VnUBW5oOMq4ZziydcY9JuyEFQDIA5u2SMpH2j+lGzk4g01s42aRBjuELrDIw9nvsXIs+Tvk7+Mc4oBYY4lhC/UMcEvZ1kyyAAxzXsgLgim/a0rr0tO9fYwyAP37mpxQAWZNZBrSrAGjWCQqAUQAkxQCCtBPI5G6OBXBqB8cCGCRZABc5nk+zt2qVq2kAKPsDEY7iMxxXbdEZDgAWdMrunfYPtQCe0zSdMYAKgPbHcba1qABo1qMKgI5+3hKOiSrcxHEBj+/l3O9kLeeVmq/mWKhClZxyInn5HMtXZJYTU+cb5bRb3Gc2wcS7uryT02/FxzkAGOrkJIFEQpxxxum19ALgU79/DXzFqWe3L07P4ydqAWQNhYxol7NaZcSjpeUmFADJABjZXUvpyMldHAvgRC3HAjhfTZEBC+WkBdTLAVbPHEffghFOu8WcjTVQ2sOJASxqHaYMNAXA9FsAL/3etcYA+L+X/4vcuMTLTFAGhja6rgooAJrJrwDIBsC9q233nHrnTewmWQBJLuB5ztbFWCjjuCiRz2nXM8OJsfSPcKbC4gEOCJf0ugwAu3pSf1lXuVItgCuKs7QuKQBShlxWNcqZ9bJKolUfRgEwCoDlnKSK0H6OC3h0H6cMzFQNZ/AHKzlAFSnjgITHx7nfcJADgJ6znHp9gX7OFFvWzdG37BgnGDJ8soPyYkQWOeOXcrNpjgG85LuvNrYA/vxZn1QLIGswZEC7nNkpAx4sTbegABgFwFJOlkJkDycLeKyJc7+0GMAqjiUpVMpxAUdYLmCWBXCY5AImVT8p6eOAT6CNA4AhUiFoBcD4FsAn/891xgD4i2d/Yq0AuB3AbQAuk50mAbQCeDmA3zt3KsxxM4BXAagA8EsArwbQEvMkVQA+DuDZAORL5xsA3gCAUw0/TbCQiT+jAGjWKwqAZAvg4kF3WQAnOR5rBDdxFvyC0qDZGxDn6jzSTiDBydSD2ld70IIBjgWwhOP5RGk3ZzwEWhUAKS+E02g6s4DXAQAlUOU+AD8DIKZDySjaDaDN+Z+o8FYANwF4GYB2AO8BcBDAPgDRavd3AtgK4BoA8mJ+DsDvAFzF7JtcbFsB0KzXFQAVAB81ghQAz8mhAHhOBwXAczqoBfCcDukEwIu+8xpjC+Ddz/nntVgAPwDgQgBPivddCEBs4rcD+LBzjsQOSZFIAcKvAGgGcAzAY2Oshn8J4PsAdjjXm63aevUfFVAANBsMCoBRAKziZCkEjzaa9VCcq4cPcixJkw2c2CxUcSx1gRJOPTmfl+Nanpzg7OGMwULKOCvu5kyxZT2ccVZ68ixFh8gpTgxgOMh5LygipBkAL/z2a40B8JfPvUOkEPCK3StHJo2VJg4Btx86518MQIogiQ95aT85ADKZizXwKID7YzS+y/n/xc37CgcQYxcUqdEk1sErAHyT1Te52C5ndsodJRUAnb72bdxA6fWZ8zku4KEjHJffzF7OgrRlyxhF3+2lnL2AfXkcQBmY4cRu9pyWsCP7R34HByzL2zgxoVUPkap9PCLrvv0jPM/ZI9v+nZ5rMZ0WQIsAuFwOieF79woaRTvjHwF8DcDjAHzUceV+EcATnZi/bQBiCyR9FYAM6BcCeBuAlwLYu6x92aLmXY5rmdU9OdeuAqBZlysAkgFw7ggnqG54f4FZz8e5enIXx/JVtHWacr87KjlgGfBxYtTOTHMA8PQgJ4u9oJtjaeYBIGlT5GMkAJydpbwXrEbTCYAXfPt1xhbAXz9XcjGStgDK168kewjoRY+POe7cC1YBQIFFmTivXAUAJZ7wnQCWChPqYUcBBUAzHRUAFQAfNYJYAOjfwtkEd2s5x+Lj93F2qhid4ZTvGRriAKC/i/OhUdZOsgA+rABotiSsfnU6AfDx33q9MQD+9q+E35IuBN0F4McA/l+MCpLh+w4Akh2sLmDm4EqhbQXAFESLuUQBMAqAmzaaKRnn6pnzSBbAgxwX8PQuDviUbuZUQNhSxgFAn4fjAj4zxbEAjg5y2i3sJAFgBwcAK4+RAPC4JHzaP8IznA8j+3d6rsV0AuDjvvkGYwC853n/tBYA/DIAqYQamwTyEQCPd6x/whuSBCIJIJIIIoesoeLeXZ4E8hgA9zrnPB3ADzQJxP6oVAA001QBkAyAs0c5ADiynwOArCSQ/E0cV9emCs6C7yUB4PBksdkbG+9DY5DTblEvZ4/hkh4SAB7nfGh4jnGSQEJTnPulDLLsB0DJ3P2VE6sncX0SAygJIFcD+A9HUykDc6MT5yeDQsrAHFqhDMxmANfGlIER17KWgbE8MBUAzQRVAIwCICkJJLifsxfwaDMnOH+Sc7tYrORYFj0lnFg9kGaW0AwHqHxnOe0Wk3YCKenlWFhL2zgW4byWbrOZNs7VCoArCrO0Lj3mv99obAH8/fMlhyNpF7Cc+ywA73fq/wngSUJINAtY/h4tBC1QKIWg7wZwHYBTMU8iGVmSfhxbCPr1Wgja/itEmqbt32iGtqgAGAXAzZsoXTR7mENUI6QkkKl6zsLMKgPjL+IAIKsO4CypELR3iOOqDfRxptiybk6yUWkLJys80sYBQHUBxwfA87/xJmMAvPevxYO7JgCkrAPaKEcBzuzEuddMbFUBMAqAW7dQ+mfmPA4ADh3iWHxYZWC2buHUZ9tWwrH4LIY5W6v1TIjRwP4xclpeZftHUTcn1KC0i+QCPsHJNqe5gCc5IQz2R8K5FtMZA6gAyOrF7GlXAdCsLxUAyRbAuUMcABxt5lh8Jus5C3OYVAi6qJRVCJpjCZ2Z5fRbaJgTEhDo54BwSR9nnJWf4iRVeI93ms20ca4OjXMslpSbTTMAnvf1N8NbnHoZotD0PP7wN+LBVQsgazysd7sKgGY9oAAYBcDtUtvT/jF9VIrQ2z9G9nEsgNM7ObF6rCzgDSWcIHpWFvDoLKcMzMgQJwu4oDf1BXi1UV8iBTcIR9VxDgD6HiYB4BinjiVB2rRbAI8KAAZSH3+hmXncpwDIGgoZ0a4CoFk3KABGAXCb7N1t/5g9yAHA0WaOa46VBezZxNnxoKKMs+B7lgr72z/GZzhbwQUHOe0WDXjtiwCguJ+jb0ULZ5z5HiEB4CgnNILSaWm2ACoAsnoxe9pVADTrSwVAMgDOHHIZADZyXJ8FpELQ1aWcmC9aGZiJErM3Ns7Vc4Mcy2JRHwcAyzo5AFh+kmMR9rT2UPotpBbAlXRdWpcOf/3vjS2AD/zNUrk+qZLOCRamjAptNFkFFACTVWrl8xQAowC4Qwq92z+mj3LapbmA6znZmYUbOZa6DWWkBT+PAyiD4xxX7dwApw5gca+7YgDL2jjjzHeq1/7kIBa1kRFKu6xG05kEcuhrbzEGwAevkJrNCoCs8bDe7SoAmvWAAiDZAug2F/BULQd8wpWcci1+UhJIkZ9zv/NBTuzm7BjHBezv5YQaFHN4CpWnOC7gguMcC+DioGwR655DAdA9fZULd6oAaNbLCoButQA2c0BiuoFjASzYwNkJpDTAWfC9JAvg2DQH1ILDnHZZLmDWTiAVpCxgX2uf2Uwb5+rFoWFKu6xG0wmAB756vbEF8OEXfEgtgKzBkAHtKgCadYICIBkAZw5zXMDDrCzgRg4AFm3ixOptKXdXaM/pcU69vtnTHBdwoJcTA8gqA1PWzvnQyD/JMVkqAK64gC2tS/v/yxwAH3mhAqAZImT21QqAZv3jPgDM48Qk+bZzsoBnDnDKy4zt5rjmpjm3i8VyDliimFO2xufntLs4x7HcekY49QWLznCm2OIBTqhBWQcJAE+RLIDqAl5pBVtal/Z95QZjC+CxKz+oFkAzRsjoqzmzU0Y/stWbUwCMWgDraqwKG21s8ghnh5HRJo5lZqaeAz4F1RxXbZE/SOm3MGknkNk5DrgvjnAKQRee5oyz4n5Kt6GilTPOCk6QLIBnBjlCkFpNpwtYAZDUiVnUrAKgWWcqAEYBsLHOTMk4V48f3Uxpd3QfxxI618ABqqqNnC2vNhZzsoALvRwQHp7luGpPj3Jcy5EBTmxhSRdn6q46zhm/RQ+TLID9A5T5gdVoOgGw+T/famwBPP6i29QCyBoMGdAuZxbJgAdL0y0oAEYBsIGzZdvEERIANnMsM7M1HPApIpWBqSrhlP0I5HNAYj7EcQGfIZWXCfZxgLWkg/MBU9XCGb+Bhzgmy8VujmWRtX6kEwD3fvlGYwA8edUHFABZgyED2lUANOsEBcAoANZykjVmmzgu4LOsGMAaTmzWQhVnYfYGOO368jkxiwukGECcJcUAnuaAGi0GsJ3kAm49bTbTxrl6US2AKymztC4pAFKGXFY1qgBo1p0KgFEAJMUATh8gWQCbOJakqTrOTiCeqnmzkRrn6gJSsobHw9Fhdjr1vU1XFXCUA4CBfg4ABs5wPjTKOkjjrIXjql0cOEN5LxDhjN90WgD3/Ie5BfDU36oFkDPAMqNVBUCzfnAdAOZ5Oa5P764GMyXjXD36mI2cdveThv5OTrmWPZs5we41xZy9VPPzOAto72wFZTycHOKMs9lezs4lJZ0csKw8xbEIFz9EAsBuTmxhNgDg7n8XAEw9uSk0M4eWv1MApEw4GdIoaRXMkKfj34YCoKOxt4GTBDJxiLMwnyVlAU+TsoBLNnLAsrKYEwNYTIoBnApyLICaBHLuRa48ydnBJXCc5AJWAIzrAlYA5AOA239BAdCsBxUAowC4g1MAz20xgKyt4EKbOAtzQTEnWcPn5cQAzs1yXLWRYQ5YFg5yLHVFHIMwyjs446HwFAkAezjJJdlgAdz1pZuMLYCtL36/zPDlANxVMd5sXc+ZqxUAzbpaATAKgKwYwH2bzHooztVnd5FiABs4rk/PRk5sViDAadfr5egwM8cBwCCpDqD/NGecFZM8nxWtnPHgbyEBYB/HtZwNALjTAgC2KQBS1p9MaVQB0KwnFADJLuDJgyQX8B5OLOR0DcfylVfGsQCaDf/4V0dIhaAxyQEq/yjHUucf5ShcNMJJAinp4QBgQQfHZLmoFsC4LmAFQM67l02tKgCa9aYCoEsBkLYTSC0HAAuqOVt0Ffo5YOkjWQAnp1MPal/tVV9gWQCHOB8aRaTk1/J2zngInBoym2njXB3q6qG0Gwlx3uN0ZgE3fvFtxi7g9pfcqi5gygjLjEYVAM36wX0A6ONspeXdVW+mZJyrx45UU9odbeZYfObrORaULZvGKTpUFnGSQAo8nAX0zDQnq/b0oIQ52T/y+zixhSUc7kF5GycGsIgFgD2cQtBZAYBfsACAL1UAtD8rZE6LCoBmfaEAGLUA7iRlAR/YYNZDca5mAeBMHcmCUsWxAAYKOQt+PqkO4PgMxwI4M8rZss1/hvPBVcQJqUNFB6cMTODkMOU9DnV0UdrNCgD8/NvhMSgDE56ZQ/vL3qcWQMoIy4xGFQDN+kEB0NHP09RopmScq88eqeK028QZ+osNHFCr2zxC0WFDIccCWOjlgPDofICiQ+sw50ODtRVccQ/Hgl3RyrHclj7CAsBuyniILHLGb1pdwAqAlLGRTY1yVsFsUmj1Z1EAjFoA62sovT7dzFmYWVnA0zs4wfnhKs6C5C3kWHxoW8HNc5JAwhOc7OKCYVIMICenAuWdnPFQfILzARPqUABcYeJdWpcaPmduAex4uVoAKQtbhjSqAGjWEa4DQE8BZ6HzNHJcwOMHODGAZ/dyLCiztZwFtKCKs0erl+SqzcvjgHAwyAHAxVGOa5kFgMWk6iesJJCiFlISCKkQdDZYAOv/7R3GLuDOV7xXXcBmjJDRVysAmnWPAmDUBUwCwMlmjgt4dC/HMjND2gmkaCPHVVvEygImgeXYNCdWL3iG027hIGecFXF4CmUdHEtzoJVkAezkZMMoAAISA6gAaAYImX61AqBZD7kPAP0cS0feXtJewIc5e7+ebeYM/XADB9S2bxgzG6lxri4v4FgWPSQL4MgcJwaw70wlRd/8Ls77VsLxfKKsk5MUVNTOKYgY7uZkAYeDHB3SGQNY/6/vNLcAvvI9agGkzAyZ0ajJKngTgOcDaAIgke+/AvBWACdjHk1mv9sBXAlA6iH8EMB1AGKrWNUC+CSApwCYAvAFANJ21Je21WnjfAC7AXwMwBuTlO81AK4HsAXAAwBeB+CemGvl3z8E4GkApL6E3LsEPXwjyfYVAB2h8vaQysAc5CzMY7tMhn780TFHygKu3sIpA7OjlNNuWT4HLGdCLQNCqgAAIABJREFUnBCGznHOOBs5I1OE/aOwg6ND5SnODi7lD3MAMNLSaV9cANkAgHWfNQfArv+nAEgZYBnSqMkq+AMAXwHwOwASmCMFgw4A2AcgunO9gN3lAF4mQakA7pB3C8CFzvOLf+R+AFLUQEBNYO+LAD4D4G3OOUIWbwJwr/Pfu5IEwBc6bV0L4LfONVcA2AsgGkL9IwBiYnotAElTuwrAzQAeA+C+JPpIATAKgCwL4BGOBXCUZAH07JRvGPvH9iqOBbAkn2Pp8JFcwCwLYP8Ipw5geIBjsQz0mkzd8cdneQcpC/jkWfsvBYBIK8cUGp7nfMCk0wKoAEgZclnVqM1ZRPbsErC6GMAvnA2kJVJFoOrrjmpiLTwO4AIAvwFwGYDvAtgWYxUUYLsNgLS3fHX6uQOMyVgABfoETgXu5JCofwkY+TiADzj/Jqv1qwF8KaZXJVhFLJmfTaKn3QeArCQQ1l7AezlJIOMNnGSCGfmEIRwLlZyFGX5Ou3n5HEtSJGxzyorpKNYWc6wsYFYMYDcniSnQyvmAibQrAK4w3SytS3WfsWABfJVaAAnTecY0aXM23QWgBcBBAA8DuBTATwGIbyX27ZfKnR8F8BEAtwB4DoAjMYpIMFk7gPNWsMIlC4DiH5FgrL8B8K2YtsW9LCal5zr/JhZAgcyXOPf4AgD/CuAwgNYVeknc2LGl/cVt3Ds+Po6yMruunqd5xFhp//CwYgB3c7KAJ5o4rrmx3Zws4Jk6zgJauoVjWaws5sQsluZzdkQZJcUADo2V2H/ZJI5liJNcEhjgjN/yNg64lx/nhBrQXMCznHqe6bQA1n76H4xjALuvliUaYh6fSOIFeTeAdy07T8KqxPAjh42QsCRuQ09JVgFbACiz0XccuLrI+XGx/H1uGTDJnyQG72eOle3TAIQcnhFzw+IzERfyMwHcuexBkgVAsSj2AXgigF/HtPFBx0L5eOffBAb/C8DTnZhDWQ2FvAQMVzpWGuBwFQAGOC6pyL6dyY65NZ03cpiz9ddYE6dMSUHj5JqeL9mTz9vGCXZvDHAK9JZ6OS60zjmORfi+4R3JdsWazuvv4WSxF3dwdhhRADzXvWEFwKUs4BQAUIwuT415SeSLODrJ2AgJW9P7pyevroAtAJSOFXeuwF90pYoHgOKWFcvgjQBWA0BpT+IMY4+VAPBJy0DxGgcwVwJASfiQ85/gNCru4Mc58YYySP/KiTOUcx5aQTr3WwBJABg+JPk59o+h84vtNyrm3oMcS93O3ZwCbU/a2EbRYac/Nh/L3k8UejjlRDrmN9m7yZiWfjnK+YB5uI8TE5DXxfmQKxcfDuGofphjwc57aCVHjfkDhGc4lvG0WwCLUs9CD8+mBICyhsZ69KKdIVZE2yFh5h2d4y3YAEBJ7BCX6pMBdMTomS4XsPhYtsf8rqxo4n9K5AKWGV9mD0lceSTm+p84/y6xiIkO98UAFnFcUmjilIE5e4ATnD+2x8bQ//PhEazluD6rN3Asi6UFnPstyucA4NgcZ/wOnuVYmiNnUl+AV5t8ivpILuAOjgu47CQpBrCVsxdwNlgAaz71LngMAbDnGsmJhJjHYycgmTRWmjjEQybJnOLvFxeAeN+koocEajJ4INH6rH9PoIDJKijXigXteQAuceL/Yn8uSvwviimrsscptbI8CUQ+k6OZuVc7pVnkU3/5IEvWBSz3IUkg4m6W0i9yyIwpA1GAVZJAJFbxQSdrWRJTooeUqpFZRe4j0aEA6CiU18jZCm5qDykGcCenQO9UHWcB9W7guFRZW7aFQxxAWZjlJO/kTXBcqgVnOToUkpJASns5SUElbaQYwDZSEkgWWABr/sUCAF67BIDLD/lHgb3lh3jtJJhW4v5kTZd4QDHOiJHl2YSQsETrs/6dCICfcDJ8xfoXW/tP3vRoBK24hiWWT8rASBCpAKMcEpsnR7QMTD+AG5x6fZKRKxm40TIwcl7UpCz/Lr8lrlxJ3ji2yvNFy8AIyAkISuawJHlIQKpYCWXGl+vFZ/cWAJL9K+ZraftZAL6fxOhxHQB6SzjB7mGSBXDkCMcyc7aZEwPor+dY6nZt4MTqlZCSNViFoE/PcMZD5xnOntPo41gAA/0m3+7xZ7byThIAtioAiurpdAFbBMBkLYDLB5bE2Isx5c0OE6yUE2ASEpbEEq2nrKaAySwSbwV9OYDPOz8azfoRK2BsIWip+xc9JAlEQFGsiJL8IZm6Eh8YG6S10m/JwEpUfVhKwEQLQUu9wdc7lsHob0vgmlgDJXZRyEhcwh9eVhZmNf0UAB11Qgc5MVRDR0kxgM0cS111I6fg7fkbOUkgdUWcLboCHk59wfZZqQ5l/7hvNDaKxF77vf2cJBB/V2wxAnv3W97K+TCqPMb5MMo7ySkEHZrixCymFwDfbe4CvnbJ0JdsFvBKA1EAT8KqfkyoCmJv4OdoSyYAmKOSPeqx3QeApRwLSmh/I2U8DB9xFwCWNXBinfZt4CRrlOdzyl3Mknbs6J7iFAbvHuKAWuQ0J2Yx0MeZustJMYClLRwLINo5ewFnBQB+0gIAvtoIAMWoIj56aUQMOxK4YDMkjLLm5FKjnFkkdxRUAHT6evEwxwI4eD4n23FiHycLuL6RA2qP28AJdt9awFmYPXkcC+tAkAOA945yYljbBjgWS28XByzLWzgWwKpj0c2h7C4OnmOxeYf22g5NciyWabUAph8AxXv2P47bV0qxSayghG/J7mACf7ZCwux1dI63pABoNgAUAB39wnsTeeNTE3psHydmcbyRM/Tnt3DAsnADx1JXWsRJLinxc7KLx0lZwKODHMu47wxnz95AbBBNaq/WileVdZFiANuTqSOcwoOoBXAl0ZbWpZpPWLAAXrcmC6BsDSvVQKRYpwDf3QDeDiBaw8pWSFgKA0UvWUkBziqYO1orAEYBsJkDgCOHOAszKwkkv44TO1RfzYktLCMlgcyFONm6/VN2d9yJTlUjg5x2fafdBYClPSQA7OBY1PJaSS7gbLAA/vPN5jGAr1na2MMkBjB3aMCFT6oAaNZpCoBRANzHqQM4up8UA7ibM/QjdRxLXe0mTrJGhZ9jAWRlAZ+Z4ViE+4c4rmWc5mQBF/dwxm85ywLYphZAmSrT6gJWADRb3XPgas4skgPCOY/oPgAs5xRWDtEsgCQA3MuJdSogWQB3ksrAVPg5wOojxQAOz3HGQ+dZThLI1BDnfot6OBbW8g7Oe1F+gmMZ97Rw6gCGxjmxsekEwB13mFsAe1+rFsBsxhkFQLPedR8AVnAsHQuHOBbA4cOcYPfxvRxXV1kNx9LRUMlxARd6OTGLZq9V/KtZFsAeUhZweIhTriXQzykwXdrNSd4pP8UBQJoLOBsA8OMWAPB1CoCsuSwT2lUANOsF9wFgFWdnjYWDHAAcOsJxoU00c8BnRyNni4bzqzmxTpsKOLFZ+XkcwG6f5RRsvn9Yat3aP04PcD64/N2c2MLyNo4FsOIkBwA9pzjvRWiMU84prRZABUD7L3SWtagAaNahCoCOfov7pJ63/WPkIKcMzPgezkJXWMexAO7fxCkvs7HQXQDYP8sBqs5xzofR0CAn5IIFgGXtnPei4qRszW7/8J7glEfKCgD82C3GSSC9r/8H6TRNArE/dDOiRQVAs25QACQD4GgzBwAnOGULEa7hxNRt28ixSBT5FszegDhXhyOcqWVoipMEMj7EaTd/mLPHcBHnewBlJBdwCakMTF57H2X8ZkMMYM0/mQNgzxsUACkDLEMa5czSGfJwabgN1wGgbxOnMO3MYzku4DPnc4LdI4c4lq9n73yEMuyeXyE7Ktk/DuRzXOElHo7rvnuR028/nN5jX1wA3zoT3cbcbvPHWjhb15U9wgHWjQ9x6kL6H+RYABeHOHtvp9MFXPNRCwD4RgVAu29uZrUmACgziXxGvRiAlFWX4o16JKeA+wCwWmp02j+CBzku4OFDHJAYb+bEqNXu4phmLt18yn6nATga4Cyg9T5O2ZqRMMci/Otp2Rbc/vGL4V32GwVwsmMrpd3iE5zYwo0PcCzNRfdx9gJeHOTE8ioAUoatNpqiAgKAsolrO4DXAnim878Um8u5y9wHgBs5QfTB/bWUzqcB4B4OAG5s4GTrPmEzB9T2BgYo/bbRx7HUDS1yCoP/cowDag+ekR2x7B+znZzC1eWnOE6hqkc4oREFj3DKwCyOcD5g0gqAH3mPcQxgz5veKYNXYwDtv8IZ0WIsAB4FcCeALRlxZ+64CdcBoJeUBRzawwFAViFoVgzgYg2nsPLmDZzkkuoizh6tJflByhs8FuRYhNsHOR9GoQFOGaMiUhkYVgxgaStnnHnaeynjLDR6ltJuWgHwHy0A4JsVACkDIUMajQVAsQQeA8CZYTPkgS3fhusA0KcWwKUhMNnIqXfmr+GUu9hFKgS9oZBzv/mkQtADsxzLV8sQJzZ2boBTCLqki1MHsLyD816UtHI+YPK6+i1P6eeay4Ys4BoFQMrYyKZGYwHwJQBuBLAvmx6Q/CwKgI7AweYaitQjBzgWlIldnHIXvhqOpaNhA8cltaGQc7/l+RyX39kgJwbw5OgmyvgdHeK4rGllYEg7gbDKwPhOcSyAWeECvt2CBfDv1QJImRgypFEBwIsASAT/RwDcAuCODLk3N9yG+wCQlAUc3McBwOGDHIM0ayeQqnpOuZbdlZysxEIvJzh/McKxUJ2e4QBV31lOfcG5Yc4HTGE/Jzu+rJPzYVRxkvOh4WkhFYLOBhfwhy0A4FtcBYASxyEm99iA6f0A3uL8+7cAfNkNYJGuexQAFJu/5Oh/GMBSb+uRtALuA0CWC5hkARzdz1lAx3dzFjq3WQBZsXq8vYA5FsBeEgDOj3DGb2EfCQBZFsBTCoCyqqQ1BjD3APA/AUhMwN87K7iY9U84/9YG4DIArwTwpaRX+Cw/UQDwcU7sHycYKLsFdB8AksrALO7mbKU11sRZ8CcaONmO8zs4FrXCck5yicfDifnK93GyrGfnOGVKgqMcS3P+CAfUApxqQyjp5fRbSSdneaEVgs6CreBqPvRe8yzg698hK7hbsoCljN3LANzlYIdY/q4F0CTs7VgC/wbAE7IbS5J/uthVUEynHwfwiuQvz/kzFQCdIRDaySl3MbaXs0PDRCMHAGdrOABYUs3ZSqvYz8nW9ZLAcnqeA4BTUxwAjAz7KZNkoI/jYi/t5VjGy9o4FkBvK2cnkGyIAaz9oDkAdt/gKgCUwGOBvagL+PsAHgZwg/MSSrX3XwPgFMOlvOncRmNXQfGfnwbA+WTlPsd6te4+ACS5gBd3cXYmGNvrMgvgFs7OGvkVnJ0UIpz1Hh4Pp+GFOc70FJni7IDhneGAmn+Y8wFT1s3pt7JWjgXQ28bJAlYABMKzc3AZAIpd/OkAHnCAQAKnrwHwDef/l2rv9wHgWBXWi0IMfldmEYEYL4BnA/gAAI4px+AmM/hS9wEgKwmEFAM4coBjmRnfw3F9ltRxyl3s2cDZmaCMlK1b4uVYFicWOeOhdZxTB7DvdCVl+vJ3cCyL5e0cACxv4ViwNQt4xeG1tC7V3mbBAvhWV1kAvw1AoO9VAJ4P4D+cusbRoo6XO7kOzZSX0oWNCgBGgz7kzX8XgPe58DnW65bdB4DbOFtIzRzixAAOH+JYZqabOYCyt56zs8a+cjHO2z8CHo4OUyEOoJyY2GxfBACtpzl1AMODHGAtGuBYFmku4FYSALZoGZgVXohcBcBDAH7qGLXEVXDrssRWSf6QWASJC9QDgADgxQBkFRC/Oceenr1SKwA6fTt7kASABzkAOLWL46qt2jFOGe17qwYp7W4v4tyvL4+TTNAxzbHUnRjhAODYIKdsTVEP570oI2UB0yyArBjAIU7ZpXRmAdeJBbAw9Q+Q8NwcutxlAZQ5UiaIC51wtt8umzTFAiibXUiyiB4OAKoQqSvgPgDczCl4G2zmAODI/tQnsNW6lVUIOp+0E0htFWdrqio/p2Azq77gWJBTVqXjbFXqs8AqV44PcsKNino5AFjaRXIBt3LGWf5JkgVQARAuBUDKe5ytjYoFUMymsceD2fqwhOdyHwCqC3hpGEzv5WTr7m7guIB3l3FiAEu8nOSSACkGsGWa8wHzyDBnC/SzA5yt6wJdnGQYViHosjZ1Acu8k1YL4AfeZ24BvPHtcttuKQPz+iTX+I8leV7WnxYbAxh9WEkI0SM5BRQAHZ1mDnMsgEOHOZaOmSYO+Bxu5FgkLqk+ldyIXONZu/yc2MJiD0ffvgVOUsU9kzvXqFxyp/92UDZZsn8MdnAslmUtnOm/+hFOrGnhw5z3bXGA816kFQDfbwEAb3IVACbj2hUTd6P9N9KdLQoAPg2ARFZLuo9U0P6eOx9lXe7afQC4lWPpmN/HKQMz0sxJJphs5Li6/HWTlIF4aAvHsrjJz7nf0FJ4sf2jb4azZVvrCCe2cPqMlFe1fwS6ORbA8nZOdnxZC6cMTF4Hpw5gKAu2gqvLPQC0/6JleYsyS0txRDEvPMcpmCh7A+uRnALuA8DtnCo/00c5FsDhQ5yFbraJs7PGgTpOHtXFGzgWwL1+DlhWeDguv5Yg5wPm/8alRJj94/cDtfYblRCGdvHK2T/KWjngXn2M874VHOPsBbw4yAm5SKsF8FYLFsC3ucoCeIFT5Pm7MW/GSwDcHLMX8OucrW/tvzwubFHedsmY+SWABgCPAOBU3nWhOEncsgKgI9LMQY4FcJiVBUyKAWyo42TrNlVw9v7Kz+NYfDykdqdZ5WXGOLGFfWc4Luv8Lk5yVGkyTrQkJsblp1Se5HwQaBLIip2xtC7Vv88cADvf7ioA/AGAnwG4zVHlIIA/APg8gOMArgfwKQDvTmEIZ+UlAoBfBHATAAmglH3yOMEwWSnfUhHt8fHxcZSV2Q32fprnCopiPpIFcOYIyQJ4gGMBnN7DSQLZvmOE0m97Kjhguc3PKQOztWCMokNvkBP79sAY5wOmhVRfEF2c7/TSDo4FsOoYJwu44DjJApgFWcA5CIDizpANLX7vTD5S01jK3EW9mrKoijVwH2VycmGj8raLrVv2xpMo3ZcC+C8XPsd63TIPAL0vpDyTbxvHhTZ7gLOAjuzjJIFM7uTUqSvezol1qq8cpYyHTUWcGMAyH8fl1znN2cbzxCDHAjg/QIoBZBWCZm0Fx8oC1jqAK80L5yyA77VgAXyHqyyAMulILEf0q+BuAHfGbG5RD+AhAJzinJQZmtuoAKB8SsoGyt3ONircX8yu1t0HgNtJO4Ec5MQWjuwnAWATxwK4p5ETU3fJxhbKm7PLz3EtB0hZwF1BTrLGXaN7Kfre38f5MMo7xQHLilOc5KiKU7IBg/3DywLAEY4lP50xgPXvsQCA73QVAMpmFi8G8AsABQDEDSEWQdkdRA5xCd8FgONGsD+86S0KAP7jsl95M/1Xs+cHFACdvpxRAFxSQgHw3IBQADyngwLgOR0UAM/poABIXfw/CeAwgLcC+CvHoymWiWgNor8F8EYAj6XehYsaFwCUIEnJBBaf2L0ALnXR/a/3rfIAkBUDSCoDM7efEwM42iwfcvaPiV2c5IeiGo5LdXsFJ1avwMNxhc+FOLGbY3OcnUDOjnEsapFhThmjQD9pL+AejgWwrJUTGuFt42TdL2aBBbDhFnMLYMc/uMoCKO6B/3Zi/mTASUjbN2NWD7EE/gbA0kPpcW4vYDkkVe1zAP4PwO0qTNIK8ACQFQO4VUo+2j/mmzku4NEmzgI62cBZ6LCNE/u2qWrCfqeJpS6fU6DXk8fRd3SWk/wwMswJC/Kc5YQwFPVxALC8k/NhVNrOAUBPJyfkIisA8OZbjXcC6XjX22TeSWUnEEksvRXAPzlWN2lHUteFL64EIBP7DwFcByA2DkXqJokl7ykAZNB8wUlSXcvm7XK/cu3yr1tx/cq/cyY9ygzNbTQ25esAgB8B4Kzk3OdYr9bdB4CsJJD9nGEzsp9jAZzczbF8Vddx9uzdV8WJ1avI52Rn+r1rma+Tf30H5uxm20d/mbYV3BkOWAY6OWBZ1sEB9/JWjQGUsZZOF3DDuy0A4LtTAkBxsX4VgHy1SlkWcbvKIWB3OYCXSZIKgDsAyBeHlKKTQ7ahuR+AbMMiJVskYF2qlHwGwNKN6GFXgVgAFOL+jmbIrElg9wHgFlK2YxMn2H1kP8kCSHIB5+/gLHS7NgyvaWAmezIrC9hLsgA+OEz60BgrSVayNZ0XZrmASRbA0m6OBbCshfNeeNo5W8Flw04g6wSA8iJJWJlY9mR3MQE6AUCxyknFkasAfN15iST5VOrzSQFncc1eBkCKOMtLHv3ivdap67dRLXdrmnqSOlkAUFbuJwD4kOMCFr+5Hskp4D4AZFkAWWVgWFnALAtgrbssgFUFnIWZVQame5aTwPfAEAcsz57mWACLujkWwPJ2kgXwJMkFrAC40kq1tC41vsvcAth+85otgOKylZpVbwLw8xgAlNwCicGTcLPYIqGSuftRAB8BcIuzI9mRmIeSDSraAZwH4L7klmU9K1kFBADFFyb+mn91zK6cFSHZO3LXeQqATn/R6gC6DAA31nLq9e2r5riAN/s5sYX5eRwXe+8cZ2eNh4Y55ZFGz3Bc1v4eDgCWdXIAsOIUJ9TA18KxAC5mQSHoxn+wAIC3LAGgZPjFZrfNx9lOTWL7JMFCXMASDB0LgGL5kzyD5S6dexw3sWTufhpAHYBnxGCABP0KkzzTqennLkLI8LsVAJS06VZH5Ay/3Yy7PfcBICkJZG4/xwU8fIATAzjRzIlRq2vg7NjxhA2dlMFfX8hxLVNuVkwBc5wQhnuGOXv2dvdx6hb6OznvBcsCWHGSY1fwtHB2AskGF7BFAFz+OstuGsu3U6txduB4OoAHnAuSAcDfOZbBGxMAoLiHZas3PSwqwNn3x+INZnhT7gPATZwFKbiXA4BnmzhlPyZ2ciwd4R2cLODN1RxLXUUhyTJD2gt4aIYTq3dmmGOpy6PFAHKm7tIeTgxgaRsJANUFHN8F/M5b4S1Mfc/o0Nwc2t+TtAVQ6u5JyZVY078kdchEK4NKrHo/URdwZhENZxbJrGdk3o0CoKPuwm5ODNXYHhIANnCGfnA7p8JAcSUH1PJ9HFdtPqm+4EyQY/maPssZZ95Rjqs20McZv2VdnPFQ0sGpj5nXwakDGBrj7GWdzizgxndYAMD3Jh0DKMGu4r6NPcTle8JJ4hBTrSSBvAjAN5yTpP7wyRWSQCQeI+pKudrJTxDTv7ie9bCoAGcWsXiDGd6U+wBQXcBLQ2pyL8cFvLGGkwSyp0rmTvtHKWnPXvt3eq7FrmlOEkjHMGeP4blBTt3CQI8YV+wf5R0cC2BZCycJJK+jz74IYsYa5bzHWQyAK/VDrAtY/i5lYCSWT8rAiEvj485FT3T+Gy0DI1R/AwDZuP5LAD6rZWAow/yPhaA5rWd/qwqATh+zCkGPNJPKwJBcwD5SGZi6ak5ySZWfY1ksJ9UXPBvkAFXbGAcAR4c4WcAFPRxLKCsGsPI4yQWsMYArrbLnsoDfbsEC+L6kLYDJAGC0ELRYAWMLQUvdv+ghVkQBxUucvATJKpb4QM4Xe/YzyqpPqBZAswHgPgB0WR3A0X0cAJzYxYkBLKzjxOo1b+Ikl2wr5GwxV5E/Y/Zmxbl6YF7Kidk/7hvixLAO91XYv1kAxZ2crfbK211mAWzjZAFngwt459vMAbDtViMApIx9bdSeAgqAZlq6DwBJLmC1AJ4bSPk1HFfXjkpOTFIJaSu4gI8TCzk8x9mzt2uE41oODnFiC4v6OS5gVhmY8lOc98LTSgLALHABKwCaLe65cLUCoFkvuw8At3Pqnc0c5CSBDB/kBNFPN3EAZXd9rDfDbHDFXv24KqmXav/YVMCxWBbmLdi/WQDd8xxX7W9G6in3294vGxjYPwraU8/uXO1uKlo4lvHyEywAJJWByYIkEAVA++9dtrWoAGjWo+4DQJIFcG4fx4VG2wt4J8fVVVrHcak2b+C4gFmxemavVfyr+2Y4LuCWIQ6oLfRzYhZLujwUics7OFnAxe2kLOBOUhLIOOc9TmcSyM6bLLiA368uYMqLliGNKgCadYT7AJC0FdzMIRYAciyAU7s4McVVOzgLRzNpJ5ANBRzLTL6HA9gd0xwL4LEzm81mgjhXz/Vx6hYWuwwAS1s5lmZ0kFzAkxxgTScA7rrRHABbP6AASJkYMqRRBUCzjuABoOcKszuLc7VvO8dVywLA4UMcAJzew3FR7qjh7KxxtIpj6dhWyCl3wdoKrmeOE6t3z9DyEmZ2Xr/+Hs79Frdx3gtaGZhWzodGniaBrDRQl9YlBUA773A2t2ICgDcBeD6AJgBSS+JXAGQ/PynsGD2iad+yR2Bs2nfsxqayB5OkfT8FgMwSkvYtbUdNNBK0djuA8wHsBvAxAG9MslNe4+xvLPWEZHua1wGQvQdjjwsAvA/A450q5vc7VcuTqY/hPgDcKlLYP4J7OWA5so8T6zTZyIl1ytvByX7dUc1JAinK54BwOGIytcQfn6MzHJfqEGknEO8gp1wLrRB0N8cFXNLGsajlqQt4dQD0pz5/hubnoBZA+2tlJrVoMkvLvnxfASB7+UlNglsBHACwL2ZfYQG7y53Cj+Ibu8PZFuZCR4Ro4UeJnL8egMDeFwF8Jqbwo0RnvwnAvc5/70oSAF/otHUtgN8614hZbW9MlXGBP3mO9wP4Hwc6ZW/kbydZddx9ALiNkwQye1D2C7d/jOznWDpYhaBrGzmxeudXc4LdWUkg3qUdoOwf7bOcrQz/MCRbmdo/zpDKwAS6OO+F67KAT3bb7zSxBGRBDOCut94KrykA3qYuYMoAy5BGTQBw+SNIFLWsfhcD+AUAidaW7QuuAvB152SxFh5fYesXMR9FrYICbLcBkPaWp2ouryy+mowCfQKnr3VOkqhpWUWl+vgHnH8woo7kAAAgAElEQVT7DYAfA3hniv3hPgDcRAp238OJATzbxLH4jO9KsccTXBauScZwvPbf3raRYwEsLeDsrlTo5cRYjs2nbtFYTfW+UU69vuAgpwxMoJdUBqaLE7vJKgOT18r5MFIABJYsgAqAa5+sXXSFTQCUJbUFwEEADwO4FMBPLW/+nCwAit9FfHF/A+BbMf0h7mWZ6Z8LQPYWFOh8vbM/4U5n38K3A7g7yT5UAHSEWthLsgAe4Cyg43s4FirWTiDbKjjJJcWkOoA+UhLIwJS8cvaPwSFOu94hl7mASXsBaxLIuTGbziSQ3TeYWwBbPqgWQPuzTea0aAsAxbr2HQeuLnIeTyx/shn08q0cJAbvZ0684KedDaSfESOJmHxk3yDZM/DOZVIlC4BiUZSoedlj8NcxbXzQsVBKvN8TnL/JHltvASCxfy8BcJ3jyhaYXX7Is8Q+j+zz1Ds+Po6yMrsLyNNYSSCbhXvtH8G9JAtgMwcAJxrsayAthrbNURour+TEFhZ4OTFf+aR2J+dIO8OMcApMe85yXLWBAVtT96OHa2kPxwJY1kKKAWwhuYCzIAt49/UWAPBDCoCUCT1DGrU1i0is32UABP6iefnxAFDcsmIZlP39VgNAaU/i82KPlQDwSctA8RoHMFcCwA8BkPMF/gQOf+nE/y2Ncud4EMD3nESU5d30bgDvWv6PrgJAl7mAx/aQALDe1tB/9GgIbuckVRRVcFzLPi9nwQ+FOfrOTHJcwJ4RjqWucJijQ+A0x4Jd0sdx3Rd1cUIYwt2c7PjwDOeDK60WQAXADMGszL0NG7OTJHaIS/XJADpiHjVdLmAhhFjzk7h1JbApkQtYbEDtAF4M4N9j7vu/nGSQv81KC+BGThD94i6SBZAUAzjRaGPo//kICe7g7DBSSrIAFpKygPM48mJsmvNBEBzlgGX+CGfP3qLYOgoW15cyWhYwqQ5gOykGcIpTtiadALjnLeYWwFMfVgugxdcr45oymablWkmoeB6AS5z4v9gHjCaBvAjAN5w/7HHKxEj2rSRgiJXvu072bzR98moAYqkTX+XyCPVkXcDyc5IEIu5mKf0ih7ipxV8gwCpJIHL/Yq38t2VJIPc5FsVYq2C8jnNfDCApC3huPwcAaTuBNHIsX4XbOQtHbRWnXl9FAcdlXejlWEL7Z+yGWkRf7K5hTr2+4BlOElNxD2cnkIo2zntR2sKJYYUC4Epr09K6tOfvLQDg7QqAGUdtFm/IBAA/4WT4ivUvtvafvOlRf5W4hiWW72UA5BNQgFEOcb/KES0D0w/gBgBSpO5LAD4bUwZGzjvinC//Lr8lgCimlmOraBEtAyNAKSAotQNf4NQtjH4/y7/dDOCVTgzgS514QCln05aEzu4DQJILONjESQIZ3cex+Exytn6Fbxcn1mn3Rkmot3/UFHPAsszHAcuBOc5WcPcPcupYjp3mAGtRH8eyWNbOcS1XHOd8GHlOdtp/KSSWNwtiABUAKUMjqxo1AcB4M8XLAXzeUSlaCFqsgLGFoKXuX/SQEvwCimJFlOQPydSV+MDYYJSVfqsLQKJlXErASH1BAUtJ8pCMX7EMxh7yW1IwWkwAUixaQDR7s4BZSSDNHAAcPsBxzU3u4lg6/DWchY5lAQz4OJY6Xx5H34EZybuyfwwMc8rAhIc4SSssCyBrJ5DSU5wYwEgbJwkkG2IA97zZggXwH9UCaH+2yZwWTQAwc55i/e7EfRZAUgxgqJFjQRnfzcnOnKzlDP2ZbZysWt8GjkWtrITUrp/T7twiJ6t2eJwzzhaHOR8wxT2cOoDl7RxwLz3FiQHMIwFgKAtiAPe+yRwAT35EAXD98IL/y5xVkH/fmfILCoBOT7DqAI42c2KoJho5Qyi0gwM+WzZyYqg2BTgWywIPB4T7pzku1b7TlZQB4TvNyS4O9HOm7jJSHcCSFk6oQaQjWnTCbvdlgwVw7xstAOBHFQDtjqzMao0zi2TWMzLvxn0ASNoLeOYIZyutoaMci89sMwfUjtRzFqQLq1op47iuYJjSbkEeBwBPznG2MvzZsOSn2T9O9m6236jsvdnOiY2taOHEAFY+QrIAnpJIIPtHVlgAFQDtD4wsa1EB0KxD3QeApBjA2cO1ZkrGuXroMMeCMr2fU67lYAMHAC/ecIqib2MBZ+/iYg9ni7nOIGcrw1+McQDwvgFOdvx8G8cSWnGCsyRUP8BJjvKciK08Zu8VyQoAfIMFC+A/qQXQ3qjKvJY4b3vmPSfrjtwHgNXVFC0W9nEAcIS1FdxeTqxTSQPHVXt4kyTK2z+2F3GC8ws9nOSSjhlOHcuHhjmWxdEzHFAr7ORYxivaOBbA8kc47wVaOFnA2eACbnq9OQCe+JgCoP1ZN3NaVAA06wsFQEe/xT2cLOCzrELQDZyhH6zhWBZZhaC9rJ1AQpw6dXPzHPBZIBWCLjzNSdYIDJhNXPGuLu3hgHugnRMDGO7kWNzD85wQkXQWglYA5Lwj2dQqZxXMJoVWfxbXAaC3ihPsHm7kAOBYcwllNLF2Apmt4SygRRWcBanQz7nfCMeQhMlJTuxbeJRTrsU/ygHhQGwhLYtvSFk3Zyu4QKtsuW7/UABcUdOldanpdRYsgB9XC6D9UZs5LSoAmvWF6wDQRyoDM3c4UUnG1IQebebEAE6Q6gAW1XBinXZv4CRrVBRw9hgOhjmWr45xTgjDmSGOqzaPVQewlzN1l3dwkndoWcCtpDqAWWABbH6tOQAev0MBMLWVyx1XcWYRdzy7jbtUAHRUnD8g9bztH8OHOZaZid2cha6ilhPrtLeKtBNIgOOaK/NywHJkgVOv74FRTrJGZz8nZtHfwXkvKk9xTLcVD3NiTSOsGMBZzvhNpwtYAdD+epRtLSoAmvWo+wCQlQTSzCkD47Y6gOFazsKxuZpTRqOikHO/HnBAYnSOUxdyZJIDlsHTnPst7eC4lss6OR9GtJ1AWjhlYLIhBrD5NRYsgP+sFkAzRMjsqxUAzfrHdQDoreBseRVq5lgAR/dzFuaxPRxA8dTNmI2oOFdvreJYFiv9HAD0eThZ1qenOVvB9Q9y3gvPAMdSV0wqBE1zAZ8kxQC2kwAwyEnmSqsF8DoLAPgJBUDKhJ4hjSoAmnWE+wCwvNzsieNcHdnJSQIZ38tZ8McbORaU2e0cC4qnnLMg5fs5Qf8+UnZxMOijjN+FMQ6oFQxy7reEk/yK0i5OUlCgjQSAXT2U8RBWAERofg7HFQAp4ytTGlUANOsJBUBHPxoANnGC8yfqOUN/djPH8hUp5yzMvkIOAHo8HAtrcJZTBsYzykk2KhzkjLPiAY6+pT2cDw1/x4jZTBvn6nAvpz5mNgDgPgsWwGMKgJRxmymNcmanTHk6/n24DwBd5gIeOcBxAU/s5AyOcA3HpVpZMU254eICzoJPuVkAI1Oc8TA1wonVKzjDAdZiDvegrIvzQVDcQrIAdpCygLPAArjv1eYu4GOfVBcway7LhHYVAM16wX0AWMpxqYabSWVg9nPqAI7t4Qx9VhJI7SbOAlpdxIlZLPBwQGJgmmMR7h6sMpsJ4l19ppDSbnEPZ/xWtHH6reQ4xwIYIgFgZJFjcU9nDOD+a80B8JF/UQCkvMAZ0ihnFsmQh0vDbSgAOiKH9zVQ5B45yAHA8V2U20VoO6dgc2UlxwJYSQLAQi8HJEZmORZAVh1ALykJpKSbM3WXt3HAJ9DCqWMZ6uIEQyoAYikGUAGQs05kSqucWSRTno5/HwqAjsah/Y0UtYePcBb8sWZOrF7lTk5dvf3VnK0fthZysovD4CTZdExzCkGfGNpEGb/T/ZwPmOJuTqHtilbOe1F6jGPBjrSR9gLOAhfw/mssWAA/pRZAysSQIY0qAJp1hAKgo9/iYU5Q3dBRTmzWeBMnW7e6ngOATVWDZiM1ztXl+ZyYxdkQJ/atc5Ljqu0e5IBlxHUuYM57UXKC5AJu45SByQoLoABgQeohCKHgHB5ZGwC+GoD8LxoP9AiAWwDc6Uw/cjO3A7gSgKTd/xDAdQDOxExPtQA+CeApAKYAfAHATQA4LgXKrOqeRhUAzfrKdQDoCXCACk0cF/DoQU7MFysGMFTPASpWIegyP8dl7cnjZKkOTJLGwxDHUlfQz8kuDpCSQMrb1QUsS4ICIJACAD4bgHxBtDrL6ksBXA/gKACBQQG7ywG8TPYqBnAHADE5X+icL2bt+wGIu0Ou2wrgiwA+A2DJFKmHXQUUAM30dB0Aeks4C13oAMcCOHyU5AJu4ri6Suo4O3bsqubEUFX7ObGFoQhnaumd5hRs7hmtNJsJ4lw9388ZvyWdHBd75SmOoaX4OGcrw1AnJws4EuJYQtOZBHLganML4MOfNnYBi+9fYO7rAGQQXOX83/LGNAE4DuACAL8BcBmA7wLYFmMVvBbAbQA2AnBXyYL/3955QEly1ef+m+meHDdnrTYH7UqrlYSQkIQA2yQbGUx2IFgEk/Ez2TbJxgTbYGODTRJIBhMfAmPCQwkMCCSE4mrDbJ7dnU2T80zPzDvf7G2ptz09HW59XV09/zpHZ89qq27d/u6tW7/6pytZUYJtVLNKB9vHUm7NANCNjiwJ5GJN1nLvBo2FCqKdQJbO14DlglpVFrDmBXpWtBXcsU4NACZO1knWr4Z2EQC2acat8VHNB8zEQU0MYFkA4KsCAMDPTgMgq/z3p0zkUQD8b7aD1rwXOBcuLYBLAdwOgA9a6sbQ9OF/AsDHnbv4OQB2pDRM19JBADsB3C95mOZwowaAfoMfOQCsrNO8kCrWMXQj+KN/k+bF3L1B8wIdukDzAq1eqHEttzRo2lXtBNI3XHhM02yzc7BLExoRP62JhVTVAWzdL3IB7xMBoFkAZ5rW0++lbcEBYPo93g/gfRmep+0A7gbAB5UxfLT4fd/9eZOL/Uu99B4AdwJ4B4DPAOCeok9POYEPJt0Uz0qJJQz+RTNHWzQA9Bt4A0CnnwoAB9ZrXH69azRZlIMrNZbFyYUa70dtg6bd6iqNK3FkVANUY90asKw+JdoK7rjfwpXp6paDmvlQ2yZyAbeLysCUgQt4+43+FsCHP5e3BZBBr7QGcOH+AwA3Aniys+rNBID3OsvgO7MAIN3DP9TM+rnbqgGg39gbACYBcD0/3II/ei/SAKDKAji8SgM+dfM1lrqmOk0SSNQsgANnNRbAmg4NsDaKALD5sMYCWKcCQNFewOXgAt7+pwEA4Oe9YwBvA3AAwNfMBRz8+9G3RQNAPwUNAJMAuEGzE0jv1ha/Ecpwde8akQt4uSa5pHJetpCbwmSqE1kApzSGUAz1ayx1lZ2abN3aM5oltv6URuDmQxoLYM2B1Eofhc3Vma5KtIvSoac0z3Exk0BKBADvAMBMnTe7JJCXAPiWG8uNAPbOkATC7N9k3atXA/gYABbq1CyCwU3HyLWkWZ0iJ0PBHY4eANZoXqAVGzUA2H2xJgZQVQZm9ALNC7ShVWQBrNWsqZOiLODufo2lbvy0Jja27qTmQ6PxuAgAD2vmQ/V+EQAe7yh48Z71wjIAwItf6W8BfOgLeVkAP+Ti9NoBMHuP8X+M7WNM349dGRjG8rEMDLPaPunG4Gr3Z7IMDKn+7S5x5BYAn7MyMJppbgDop6sB4GMWQJELeJsGAM0FfG7gWmVJIJpkmK4BDQAOndaUa6k5KYoB1IS+oeWABgBr2jQ72SQMAGd6g02/ly5+RQAAeFNeAPh5AE9z9ftY5+8hV8KF8McjWQiaVsDUQtCpk4MvEtYLvN4lf7AQNOMDNbE1fu//yF9tAOg3hNEDwGqNq6tio6YQdM92EQBu0lhmVBbAloVMqAv+WNigqQMYfE/PtdjRqykEPXRcU26o/oRmnjWcEFkAD2liQqtVLuATGrBEOVgAXx4AAH4xLwBUPfbWrkgBA0A/YQ0AnX6Vq1f5KZnh6oGtCyXtdm0UZQGv0Vi+qhdpXMDzGzV1ACtEO4GoLICjpzWWxdpTmnlWL/J8tqosgHs1oGYWwBmXx3MWQANAybujnBo1APQbzcgBYEVck5UYWyOqA3iRBgC7N2hezEMrNcHjUy0aD0i8VpP1WSFaWcYHNfM3flpjGa/TcA8aT2rmWeNhzYdG/JCGWBOnNfUFy8ECeMnL/C2AD37JLIB+iFDaV4uW6dL+0QH2zgDQiRlbp4kBHNi8IMDherypnnUaABxcpXHNTc7TgFqsRgOWkkFjIJAIAKvOasBSBYANpzQA2HRE4wKOH9KQcOJkMlk04BlXBi7gS/4kAAC82QAw4JlVUs0ZAPoNhwFg0gW8QRQDuGO+3whluLprqyY2a3KDJqZu1cJuiQ4rGxirHfzRENckE3QMa8oC7T3NKhPBH2Ptmr23G49olu55ezUfGvW7RBbAo6JsmOCnwnSLxSwDYwAoGsQyalazipSRQFl+igFgEgA3r5WMetdOFQBqpn7lOk2yxoZFmp0UFtelbvEZ3BCOTGgsah2DmiSQo6c186zymKbskgwA2zRljGof1dTrSxzXtBvck3B+S8UEwB1//LeIVRc+/ybGRvDALe/hD+BXl2YzcpXQ1m5OCmjegjnduixOMgAUWwC7d2pcwN1bNFN/cr3GArhhqQYA1zR2Sh7EmkqNa/nkiAYAd3cukejQ066xWDYc0oQwLNitGbeGBzRblySOadqVTIYiWwB3/FEAAPgfBoCquVAK7WregqXwy4rTh+gBYEzz4oit17iAuy5fJBnJzm2aqa+yAK5aoHEBt9ZoYr4SkxoX++khjUv15GkNqMWOF26BmW3iN3FvBcExb5/GdV+zW2OpS5zQuJYF0hbdBWwAqBrF8mlX8xYsH32y/RIDwMdcwOuyaVXQv3deobEAdl5cUHeyXjRvk8aiduWSI1nvXcgJG+o0QfQT0Cwt+4c0sXoPnF1ZiHxZr+lo17iWGw5qCkwv3CWyAN6vsdSZBXDGKTj9Xrr0D/0tgPd/2SyAWR/yCJ+gWaUjLEieXTcAdIKpLIDdOzVlYKKWBKJyAa+q78lzyod7+qEBDVAd6dS0mziuqS/YeFhjYZ2/W5MEUvewJlnDLICzAOBLAwDArxgAhrviae9uAOinb+QAEBWaF0dc5ALuuUzkAhZlASfWauqoLVukydZd3qCJ7a6NaUDi7Khmy7aDZzWW5nFRFnDTQc3SPX+PKAlkl8gCaC7gmd5g5yyABoB+b/c5cLVmFZkDwrmfaADohIhfsEIy6kNbl0ra7d6kyVIdWK2pA4jFmli95mYNsDbWaGLJhsc149bVqYktlMUAaiICMK9NM241j7RLnuPEKU0Ig6SzRU4C2fkSfwvgb/7TLICquVAK7RoA+o2CAaAaALct8xuhDFd3btbEUA2u1hTorVigeTE3NmrAMh7T6DAwxD3kgz/GT2pctXUdGot7Q4fmQ6PlgGY+VO0VuYBPa7Ljg59h51osZhmYnS8OAAC/agComgul0K4BoN8oGAAmAVC0FVzfpRoL4Nntmhfz2DrNC3TV0i6/mZrh6mX1mjqAks4C6BhqkjR9/GyrpF0cr5O023hUs3TP3y1yAT+kSVs2C+CM02v6vXTZi/wB8L6vGQBKHuASaVSzipTIjytCNwwAkwC4arlE7oEdmnY7t4osgGs1WZTNizUFphc2atqtrNBYqM4OamIAe05pwLL2uMZl3XRUo29rm+YDpmqPyAV8RrQXsGQ1K64F0ABQNIhl1KwBoN9gRg8A/X5vxqvjq1dJWu7fKQLAizT1EIfXaSwoixZrkkAWN2gAUDIZAJwR1QE806kBwKjFAM7frQHA6l0iC6AB4EyP2jkL4AsDsAB+3SyAqrWsFNo1APQbBQPApAXwAk0dtf7LNMklZy/WAODYBk1SxZplGkvHuiZN3cJ45YTfk5XhatVewHtEewGPirKAGw9pQhgWPKr5gKl9UJO1krAYwFkBMF5VeCHyxPgI7jMAlKxjpdKoAaDfSBgAJgFwhcZSN3C5xrJ4RgSAoxs0FpSlIgvgwjrN1nWJKQ2gqFzAZ7tEFsATmqSVhnbN0r1gtybZqOYhEQCaBdAA0O8dPqev1qwic0dSA8AkAC7R7NAwsv0CyWzqvKha0m7/Wk32a+UizYu5qUljsVTFAPb2a5IqJk8XbimZbSI1tGtAuPGEJgaweb8mJKBynyYGcKInWoXMi5kFfNkL/gbeFsBv/CWnN/dJ1BQMlazC1miuChgA5qrUzOcZACYBcLGmYPPYFo0FsHuz5oXfd6HfhMp0dWKZxjVXL6oDWBXXuIAHRWVgEmc0YFl/XASAxzUA2NI2JJnAsX2aGMCJLs0e2RIRilwG5vLn+wPgr79pAKiaC6XQrgGg3ygYAIotgEM7V/uNUIarz27XZGcOrNdkAc9bpvkAX9GkSS6pjmkA8LQoCaTjLI0cwR+VRzVg2Xw4+L6yxfmPaizC8YcPSTpsFsAZZZ1+LxkASqZcWTVqAOg3nAaAYgAc3iECwG0iAFyjAZ+apRrLzMImTQxghagMTPegpmDzYJem3eoTmnnWqKmrjHm7NQBY9ZABIJfKYrqAL/+DACyA3zILoB8ilPbVBoB+42MAmATABaK9VGUuYM0Lv1/Dqxhdqtlbt36+5oVfV6Pp79CIJnZzuEcTEqCqA9io8ahi/m7Nh0ZslwgAezUWbL/XQuariwmAVzzXHwDv/bYBoGoulEK7BoB+o2AAmATARQv9lMxw9fDONZJ2o+YCbl6m2bFjdasmhqqxSpO0cnZEUwj68BnNB8zkEc2HRtNhzdK9YJcmi73qwYOS59hcwJldwAaAkilXVo1qVpGykmjWH2MAKLYAju7QZFWc2a4pz9G/QeMCrluqcdUuadaAZZUoBrBrWANUXZ2NklUraoWgF+zSWITjD4kA0CyAM83b6ffSFb8fgAXwVrMAShaGEmnUBwDfBeB5ADYD4KrxCwDvALA35bfRr/IPAF4MgG/cHwF4HYBTKeewzsenATwFAGsQfAkA205G0y9zbVwGYAOAfwbwlhz1ez2AtwHghrIPAngjgHtmuJY6fB/AMwA8F8CtObZvAGgAeN5UMQA8J4cB4DkdDADP6WAAeE6HYrqAn3CDPwDe8x0DwBxZIJKn+QDgDwF8FcC9fL4BfAjANgBbASTNFQS7ZwN4Ob9IAPwLABZKe5JTi9sxPADgpAM1wt7NAD4L4N3uHJqA3grgPvfnT3IEwBe5tl4L4FfumhcA2ATgdNposf3fBvBMA8DC5nGsRZNFObFVYwHs3qKxJPVd6PNIZdZ+bJHGsljZpCkvUxHTlCmZGNbs4Rzr1CRr1J3UzIem45p6k81tmjqAFXs1acsTA5r+FrYKZr+qqAD4nA961wG857t/xR9ldQCzD20kzwhydWIhOILVkwH81E2aMwBeCuCbTh1aC3cDuArALx1wfQ8At5FIWgUJbB8BwPbS3053OWDMxQJI6COcvsHdmwW5WI30kwA+nDJalwBgH64A0GEAWNg8jjVpdlKY3KqJAezeooklUwHg6GINAMZaRQBYqQGUxKAmCSTWqQHLulNBLrGPP5syANynCQmo2KfZCcQAcMb1etoz9QQDwMJeZnPoqiBXp/UA2gBsB/AIgKcCuB3APACp5dq5EnwCwMcBfADAcwDsSNGcb3wGjOwEcH/aWOQKgHxLMJ3t+WnuXLqXWwHc4NqlGejXzuX8HQA0W5gLuIAHQAWAE9vWFtCb7Jd0XaQBwH7NxiVQWQBjrZpkjepqTT3E0WGNpQ5nNTGh9cc0haCb2jWA3dymAUDs0WQBTw5pspazryCFnVFMC+CVv+dvAfzVf5kFsLCRjsZVQQEgV7nvOri6xv10Wv5ucrF/qWowBu9OFy/4GQAsnPH0lBMIZXQhPwvADwoEQFoUjwO4GsDdKW181Fkor3T/798ZpgPgRvf3bADIt0Tqm4Jmr2O9vb1obuZHV3DHb1fSWx2dQwWA45fyuyL448ylmgK9fZs0lrrWVZpyF2tau4IXlzEhFRpA6RjSWJpPnOF3YfBH7LBmnjVrciowf5cm2ajyIdoGgj8MAGfUdNoCeOXvBgCA3zMADH7Wlk6LQQEgY/0YP0f4S5YozQSAdMvSMvhOALMBINtjnGHqMZMF8No0UHyNA8yZAPBjAHj+E53lkQkql7rkE94nGwC+D8B704fPABCINWqyKBM7NAB49hJRDOAGDfhULtVkZy5foAHLlmpNOZH+MY2l7kSPJoY10a6xNDcfCGrpPn81W/igxqIWf2C/5K1nLmADQMnEmiONBrGKMLGDLtXrAKTa+YvlAuYn9oqU8WIsIf1a2VzAdEO/ySWlJC+nNZBv8P8BcP0Mc8AsgBkeDAPAc8L0rdUkP0wu1MTq1TdpQC1WqdFhcFADgFMqF7BoL+CmYxp9W/aKXMCPHpC8UieHNR9Gks4WOQv4ic/2twD+8r/NAqiaC6XQrg8A8lomVDBmjrCUbuPnJzWTQF4C4Fvux250ZWLSk0CY/ZvMzH01AFrqFjuQy2YBzKQjk0DobmbpFx50U7N+PoGVSSAsDZNevfhhAG8G8F9pMJvpHlYGJiluncbVhS2aGMDezcG67JMTpG+1zyOVeUkYWaR54U80a2L1KuIaSyhEWcBV3fz2C/5ooB9CcDSe0IQaNLalhmsH1/GpNk0SyOSo5gMmuF9+fkvFjAF84rM+4J0F/Mvv/zV/QK5ZwMUqDacanjnXrs/b6lMuw5fWv9Taf/QpJT/L6BpmLB/LwHA3ewIjD8bm8UiWgTkB4O0Oym4B8LmUMjA8L5kkwv/PexEQaRJ5dJYRS5aBIVASBJk5/EJXtzC1DmFqE9lcwOm3MwAUA+DUdpEL+FJNLFnPRg2oYanmRbdsocYFrFpJe4Y0HxoDZzUhAXXHNEkrzQc182zeLi7TgmOXyAJoADjTYE2/l0IAwGKVhhNM0LnZpA8AZlqBXgHgi07OZCFoWgFTC0Gz7l/yYBIIQZFWREYgM7mZZ64AACAASURBVFOX8YGppomZ7sVPymxF4lgCJlkImvUG6fKlZTDTYQBY4HNQWaPZSxXbRAC4Q2QBXFeggFkuG1+qcQFXq+oAVmgAZXRA4wKuFNUBbDjms8RmnhSyLOC9IgvgPk0dQLMAzjhHpgHwqmf6WwDv/kFeFsD0zhSjNJxmwZ0jrWpWpzkiHgCzACYtgCoA3KxxAfds1wT9967TPFIjyzSu2pqFmhiq6rjGRTkyqrGojXdqPmDq2zWu5ZZDGhd7y6Mai/DUXlEZGLMAZrQAXvWMAADwh9MAuBJAanAoY+xzqR9VjNJwc4c2BL9U87YSdLREmzQATAJgtaZAb8VGTSHovi0sTxn80btGU/dtZKHGojbRpAEJVIvaHdXoW9WjAbV6lpYXHE3HNIDduK9b0Ftgqk1kARzTWMYlIhQ5CSRAAEyX4/0AWBFjtqNYpeFUQzUn2jUA9BvmaQC8HjcgXqGxTPh1r3hXV8Q1v79ykwgAt86XiKMCwOElIgBs0VgWK+Ka/mJYA2pVXZp2VQDY3K4BwIb9BoCShcE1WswkkKuf7m8B/MWPCrYAFqs0nHK4yr5tA0C/IY4cABqonRvwnvUaS9LwMpHlS7Vlm2rP3iHN1mrVZzQfGjJQOyoCNZWl7oBZ6pKvhB9PfsPv7TDD1X19fWg5t296rpm1hfRh+r109W+/3zsL+Bc/ni57m29fi1karhB97BqngAGg31QwAHT6VW4QWeq2aSx1MgBcqgHAigW5hNzkP5krReVaEqIt2yq7NQAoS9Y4qpkPzXs0lrrJPZotRqYS4/lPzpCviDwA/lYAAHhbXgAYRmm4kGdJtG9vAOg3ftEDwJjG1VW5UZP+2ntJxABwieaFXzlPA4CxKk1/xwc0MaGxLo1lsf6EZilsPqKxADbtFgFgmyZZwwDw3IumqBbA4gNgMUvD+b257eppBTSr3twR1wDQjXVsbbaKPIVNiv5t6bW6C2sn/aru9RoQHl6uiX2bnKcJdo/VaABlYkQDapVdIgvgcc1S2HJIo2+jygJoAPjYUhF1C+CTCIDxwrPbE4kR/Dw/C2AxS8MF8yKY461oVr25I6oBYBIA12tcwL0XiwBwoygG8AJNUkVlg8aFJnMBj2oAsKJXA4D1xzTzQVWupfnRLskqO7lHU7B5akIDwhIRXKORB8Cnvc8fAG+fTvbNNwZQOSzWdoAKGAD6iRk5AESF5kUXFwFgz07WEg3+6N6s0WF4lQbU6udp6vXFYxoX8NCwxgU80aUpBF1/TGMRbjmo0bflIREA7jMATK42BoAj+LkBYPAvnxJq0QDQbzAMAJ1+8U2aGMDOKzQWwJ5Nmqk/tlLjqm2ex01ygj+qRAWbB4c1oDbSW7hLazb1ao9oLIutbRoAbH3AADD4p+H8FqMOgNc81d8C+LM7zAKonmdhtq95C4b5i4p7bwPAJACqLICXiSyAGzQWwJGVGhdw3cIhycxurNUkl/SK9uwdO6vZC7j+qMYC2LpfA4AtD3dK5sNEmygL2FzA0+NVzCSQa54SAADeaQAoedBKpFEDQL+BMABMAuBabukc/NF76ZLgGwXQtVUEgBdqLICLlmi26Kqp0gBr92C9ZNwGezQAWN2ucVm3tmmSgub/RgOAFgP4+LSNvAXQAFCyBpVTowaAfqMZPQD0+70Zr46v0ySB9FwhAsAtGgAcXa2xqC1e3CcZuYZqTX/7RjWu2s7TfOSCP2oPRwsAW+/XAODEnv3Bi8sWpzSWUE1nz7UadQC89vr3eieB/M9d3PXNkkCU8yzMtg0A/dQ3AExaAEUA2P0EEQBepAHA8dUjfjMqw9VLFmoAsK5KY7HsHtZYAHu6GiT6Vh/VxCzKLID3GgBKJkJKo5EHwOsCAMCfGgCq51mY7RsA+qlvAJgEwAtW+imZ4er+y1ZI2u3cqon5Gl6pKXdRs0gTA1hbrclaHhIlgYz1aSx1de2aJJB5+zSWr9b7z0qei8Q+TQygWQDPDVcxYwCvNQCUPCPl1KgBoN9oGgAmAXClBtQGdmra7dyqqVM3tEoDgDFRIWhUaGLUJkSgFuvVgHt9h2YpVBWCbnr4tN/KleHqxMEjknYNAIsPgNdd+9feLuCf/s8HzAWseSJKolXNqlcSP60onTAATALgiuUSwYd2aCyL3RtEAKjxWCPRqgHLKdFewBUjGlCLDWuWLNVWcC2HNeNmAChZbs5rNOou4OuuCQAAf2YAqJ9p4d1Bs5qG93uKfWcDwCQALl8m0X7wslWSds9uEwHgCs0LPzZfE6unsgAm+jWu2rjIAtgg2gqudb8my7rh4Q7Jc5E40i5pN4qNRh4An/RX/hbAn3/QLIBRnLw59tkAMEehMpxmACgGwIHLNQAocwGLYgBjCzTZulVVGmAdGdQAIPo0sXoNRzVJQfPaNPo2PXDSb+XK5AI+LHIBS3qrbdQAcAQ/NQDUTrKQWzcA9BsAA8AkAC7WFGweuVhTX7BrswZQhkUu4LF5GpCYqtbEAFaOaIAqPqBpt/6E30KQ6erWA5okm/pdIgvg0WMaISLYatQB8MlX+1sAf/ILswBGcOrm3GUDwJylmvFEA0A1AF4iAsAtGgAc1IRCYnyBBiQqazRgOTkqigEc0Lju649plsJ5+zX6Nj6gIVZzAT++zkceAK/6S28X8E/u/htzAfsxQklfrVn1SvonB9o5A0AnZ2z+vECFTTY2vu1CSbvdmzU7SgxqkpYx1qopJzKlMaghPqhpOK6phoMGDU+h5ZDGdV+zW9PhxAmNZVHyEIsbNQAcgQGgeJKF3LwBoN8AGAAmAbC11U/JDFdPbNZYAPvXagoVDy3WPFJjLRJ5MakxqCE+rOlvTFNnG3VnNK7wpnYNAFbvFQFghya2UDMbtK1GHQCvv9LfAnjXr8wCqJ1l4baueVuF+5uKeXcDQDEAjl+s2WKue5PGAji0VDP9xls0gDKl8dQiNqRZWqoGNfrWd2j0VVkADQA18yC11cgD4BPe4+0CvuuevzUXsH6qhXYHzSod2s8p+o0NAJMA2KIxUSW2iwBws8YCOKiphgMZAMY14BOLmAu4TlNXGa0HNRbAmkc05VoSp0RCFH1p9r+hAeAIDAD951Ept2AA6Dc6BoBJAGxq8lMykwt421pJuz2bNAA4tEjzSI1pPOyQWQA13IOYyLVcf1oDws1HNPUbDQAly8J5jUYeAK8IwAJ4r1kA9TMtvDto3lbh/Z5i39kAMAmAjY0S7Sc3ayyAfRs1/R1YrnmkRudL5MWkqgzMqEYHlQu44YQIAA9qghard4ssgGc0ewxrZq+21agD4FMuf7e3C/jOX3/IXMDaaRZq65pVOtSfVNSbGwCqAXCrBgB7NosAcKXmkRqdrwGUKU13UTWgabiqT/N8N5zS6Nt0RAOAVXsMADUz4fFWDQBHYAConmXhtq9ZpcP9TcW8uwGgU7uyXuNSndq2TjKe3Vs0ADi0VPNIjcpcwBrwqRrU6BAfkEwHNJzU6NB8SOOzju3R7Ngx0dWtETiCrUYeAC97l78F8L6/MwtgBOdurl3WrNK53j365xkAJgGwTpNViy2aGMDezRy64I+BZZpHShUDCE13ERdl61b1Bz9mbLGxQ1NnsfGwhlgr9mssgBO9vRqBI9hq5AFw57sQj9UWrHxiYgR3/sYAsGABI3ChaPmPwC8PposGgGoA3CqyAG7VJK0MymIANRYqWSFoURkYVRKIygLYckDjAo7vOhzMCpbWilkAy8cF/NRL3+kNgHfc/2GzAEqetNJo1ADQbxwMAJMAWFP4l+asQ7BVZAHcoilbI7MAajZaiVwhaJUFUAWATYc0W5fEdotcwD09fitiGV0ddQugAWAZTUbRTzEA9BPWADAJgNWavXUrNmi2ghvYqCGq/hWaysoqF3DUdgKRbQV3UuQCPqLxhVfuPeq3cmW42lzAZWQB3EELYE3B8yQxMYo7HjALYMECRuBCA0C/QTIAVAPgRk0WcN9mDQAOLtPsgStLAhFtBady1VZpDGpoOCECwMMqABS5gPtFQZZ+62woV0feAnjJO/wB8MGPmAs4lNlXnJsaAPrpbADo9KuIV/kpmeHqyk0aABxcrwHAgWUaC6CqDuBE4QaCWcdbBYDVojIwjScmJPO34agoCWSfyAU8oOmvRFxxowaAo7jDAFA8y8Jt3gDQT38DQDUAbl3vN0IZru65SBQDuEJkAdTwKiarNMkl8WHN0qIqA9Mo2gu4eb/GZBnbdVDyXEyYBfAxXSMPgNsDsAA+bBZAyYNWIo1qVukS+XFF6IYBoBoAN2gsgP1bNVtr9K/UAODIAs1snqzRAGBsRLO0qApBN4pcwM1tIhfwnkOSCTFhFsCyAcCnbXu7twv49kc+ai5gyZNWGo1qVunS+G3F6IUBYBIAYxrXZ+VmTRmY3m0aABwQWQBlACiyAMZEW8HJkkBEFsDWvSIL4MMHJOubAeDjskbdAmgAKHlEyqpRA0C/4TQAFANgbIOmDEz/Fg0A9q/UgHDkYgBH/R6sTFdXieoUN4qygJvbRDF1uzUu4MkhDbBqZoO21cgD4EVv87cA7vqYWQC10yzU1g0A/eQ3AFQD4FpRGZgtGp/qwApNWu2Ihlcxqaneg5gKAEU8pcoCbjooyqpVAeCwZus6v2U2nKsjD4Bb/8IfAB/9+3wA8DoAbwNwGYBlAJ4L4NaU0SNvvB/AqwBwc8ufA/gzAG0p53Cl+ySA3wPA1PxvAXgzANGTH87cKpW7GgD6jYQBYFK/Ck3sW3zNBX4jlOHq4fULJe0OLtNkQ4+2ah7VKY3BEpVjEnlRNaiJWWw4rckCrjuiMVlOtWmygCdHNTuXaGaDttXIA+CW/+MPgLv/IR8AfCaAJwH4jQO3dAB8B4B3AXg5AJqwPwhgO4CtAJIT7wcOHl8DgIvpTQDuBfBS7WjPzdY1b5W5o6UBoBoA14ksgFs1ANi/UmMBlBWCFgFgTMQRNRqeQmNHQrJq1R/SdNgAUDJc5zVqADiK2/MDwFT9+KWWCoBkjRMASJTTZkUALMVwygHhVwFsAfAogCsA/Nqd8wwA3wew0l2vH/g5dAcDQL/BNgA0ADxvBqlcwKOiMjCqOoAqC2C1yKPaeFxTCLqpTQSAezVZwGYBfPxxjjwAbgrAArg3LwvgbADIYG5mLl0K4IGUE3/i/k437ysdIKaudvyi5ufkCwB82+91bVenK2AA6DcnDADVAChyAQ9etNhv5DNc3S+KAZQBoGgLZwPAcxNEBoB7NFnAk2Mi373kadM2GnUA/K2Nf+7tAr5t3z9SZFrfUj+9GOGbLco33QJ4tYv5Ww6gI2Xkvg6A574IwLsBvAzAprSRPQ3gvQA+rR3xude6AaDfmBsAqgFwFdeL4I+RjUuDb5Sr5CpNDODIAs2jqkoCqRiXyIsqTVk9NHZoYgAb23okQkztE1kADQAfGy8DwFE4AEyfw0zkeF+WiZ0rAH4DAB++F88CgGcA/BWAf5M8THO4Uc1bZe4IagCoBsCIWQD7VmliAGVlYFRZwCJDUrXGo4qmdhEA7u2WrIaTbRoAnEqIyF2igrbRyAPghrf6WwDbPh6UBdBcwNrpWlDrBoAFyfbYRQaAfvplvTp+4eqs5xRywsDFSwq5LOs1fRdoAFCVBDIhAsBKTU4FVDuBNB3TxAA279VYACd3a1zABoCPP+KRB8B1b/EHwAOfoCBM1sh3F+5MSSBMAJkOLATA9yfdu8wKTk0CuRzAfe6c3wHwQ0sCyfrqKegEA8CCZDMA9JMt96vjK1fkfnIeZ45sZpmq4I+BFRoX8FiL5lGdFGUBV4oMSdUDmjIw9Sc1xFp/SGMBnNgvsgBOaCyhwT9p+hYNAEdxW34A2AgguXn7/QD+HMCdALoAHAXAMjDvdHF+nMAsA3PxDGVg+HX+2pQyMMwItjIwgimveasIOlqiTZoFUDww8eUaUBvbqGl3cHmNRJFRFQBqDJZQWQDjQyIAPCUCwAN89wV/TBw8HHyjjMY3AHxM18gD4No3+1sAD/5TPhbA6x3wpc/NLzkrX7IQ9KtdIeifAXgdgH0pF7AQ9L+kFYJ+kxWCljzuMAD009UA0E+/rFfHV4iSQLZo2pUlgczXPKqTGl6VFYKuztcRlXWGnTuhqV1jsqxv68yxB/mdNnFIUwjaAPDxcYg+AL4J8crCH/DE5ChuO/jP+QBgfpPYzg5dAZ+3Cit6Pw/AZgDcP+gXzsS7N+VXscgE/f3M8OFM/JEjfhZ/TB7c6oHp3U9xlM+vBbad/CSnqYZtcHuZDQA4I9+So3Kvd1vTMOXzQQBvBHCPu5ZfGsxmYozBKgBn3bY1zDbKNdTcADDHgSj0NJUFcFQEgH2rNUF1qp1AJjUeax0AquoAHlMBIJeV4I/EQQ0AYkoTCxm8AvoWDQANAPWzLNw7+AAgAzMZuMltWuhI+hCAbc6fnyzWQLB7tjP/Eqpo2uUKw+1ieDACiUUhTzpQI+zdDOCzLiWc53AriLe6oFD+ycKRuQAg6wqxLcYS/Mpdw2KSrDHEwFP2lQD4RVd9nNkGTDN/CMDzcxwWA8AchSr0tPgyTbmW0a2a2MK+C0QAOM/nUc2s/oSoDqCqDEyNygJ4TOQC3sMKFsEfBoDBa5reYuQBcM0b/S2Ah7gtb0FJIPoBsjt4KxDkW2WRA6snA/ipmzRc/Ri8+U3XU1oLdwO4CsAvAXDvwO8BoD8uaRUksH0EANtLLyZxlwPGXACQ0Ec4fYO7NzerbXcbTX84g3IExP8A0JBigZxNZANA7yk4ewMyANysAcCBVRoAHBG5gCdUFkANT6FKtCV8k8oCuM8sgOIlQtZ85AFw9Rv8AfAIbTYGgLJJFnLDQQIgs3/a3ObOjwB4KoDbAXBbl9RaCPRdMLecBYY+AOA5AHak6LDGbRS9EwAziVKPXAGQb+EhZ8m7NaUBupdbAdyQQfcbAfydg8+ZTqEbOzWoognAsetxA+IVojdpyBMk7NvHF/M7IPgjsVYTAzi8TGNSG16gSddNaLqLSlEyaZUoC7ihQ+MCrm1LjXYJbh4njh4PrrHUlswF/JgakQfAC17nD4BHP2UAqHnSSqLVoACQ1rXvOri6xv0yWv5uSgMm/hNj8JgazpTwzwCg6/XpKWrUA6AL+VkAflAgAPLtzhWS28/cndLGRwHQQnnlDOovdG5mWgDfk2F0WP2cW9KcdxgA6uZyfBGHJfgjsU5jAVQB4Mg8PmLBHxPVQS0B5/dNVQampk8To1bfwe1Ggz+qDjHaJPgjcYJRM4LDAPAxUQ0AR3GbAaDgISudJoNa/RnrR3cu4e+Y+3mZAJBuWVoGWQ9oNgBke4wzTD1msgBemwaKr3GAORMAfgwAz39iWrt05f7Y1SuiRTKTOcAsgEWeuyoL4NhW5v0Ef/StLjzrbrbeqLaCm9B0F7FsO4UWKL1uJxDN1iV1e80CWOBQh35Z5AFw1Z/5WwDbp7ffLaQQdOjjZx3IrkAQAMggAbpUrwOQWp20WC7gOgCp5hyuuHz95OoCphuX2ck8/3cB5GMKsBjA7HPM6wyVBXB8E/c3D/4YXKnxqaosgLIsYI1HFdV9mjqAjcc0xFq9X2OpSxw/EfzktRbPUyDyALjitf4AeHx6+10DwDJ9NnwAkNcyRei5AFgAkvF/qQcnDZNAXgLgW+4fNgJgmZj0JBBm/yZ9JSwSSUvdYgdy2SyAmYaGSSB0N7P0Cw/60FiNnMCaTAIhwBH+uPrT5UwIzOcwAMxHrQLOjc1nCGnwx+R6DQAOrWAEQ/DH8HxNDKDKAihzAfdrXMANxzUAWHVABIAnOoKfZNaiAWCKAtN1AA0Ay/qp8AFARofSzUvrX2rtP5Z7YV1AHrQfE6y41x8LOEznlLvYPP6ZLAPDz9m3A2DNj1sAfC6lDAzPSyaJ8P/zXgRE+mwenWV0kmVgCJQEQWYOv9DVLaSVkJY/un35xibEJkvXsEmCay5h7AaA4sdDBYATG1l+MvhjcBUN0sEfZgE8p6kqBtAAMPg5G/UWI28BXP4afwvgiX/nMJoFMOqTOUP/fQAwky/mFa62Hm+ZLARNK2BqIejUz2ImgRAUaUUkhDFTl/GBqYUkZroXs4lZI3C2gyVg3ubAkvUGuaUMLYM8Mm1bw39jJnIuey0ZAIofjFgrk7aDP6bWRcsCODJPYwGcjPssAZnHJT6qcdXW9ObyXZb/fKk9lfxmzf/a2a6IHRHFAJ7SJJcE++uj3VrkAXAZAbDwslSJyTHc1mEAGO1ZPHvvNat/OSt2/m8zABSPtQoAJzdqkkCGl2osgKMtGgBUZQHHxjUAWC3KAq47mU/ob+6TPn5I46pNGADmPggFnmkAaABY4NSJzGUGgH5DZQDop1/WqyMHgMs0MYAjrZoyMJNVmiWgUgSAKhdw/QmRBVAFgKc1O4xkfSDn0AmRB8Clr/a3AJ5koQ5zAZfrtNes/uWq1v/+XQaA4rGOtTD8JPhjar3IArhcBIAiF7DMAjimsQDW9GqSQOqO55v/lducjB0RWQDPaHYYye1XzY2zIg+Ai2/0B8DTDLs3ACzXGW8A6DeyBoB++mW9WgaAohjAkWXcRTD4QxUDKNsKThOqBxkAdogAUGUBNAAM/iFLa9EAcAy3GQDK51mYNzAA9FPfANBPv6xXx5qYrB38obIAjizRAOBYa7RiACtEAFg9ILIAqgDwgKZeX6KzM/iHwlo8T4HIA+CiP/W3AJ75vFkAy/i5MAD0G1wDQD/9sl4da2zMek5BJ1yo2QpubJGmv+PN8YJ+ZraLVFnAFRMaF3DVoIYsa06lVoHKploe/35U4wKe6EndXj2P/tipOSsQeQBc+Ep/ADz7BQPAnGdM9E40APQbMwNAP/2yXh05AFyiAcCReVVZtSrkhIkazRIQE8UAVvemVocq5BfPfE3tSQPA4NQsj5YiD4DzX+EPgF03GQCWx3Se8VdoVv8yFiztpxkAise6sl6TVFGxVpMEorIAjrVEywIoKwPTq9ljrurUgGYmHxNZAPv7Nf21Vh9TwABwDLcZAJb1E2EA6De8BoB++mW9WgaAazSFoMeWamIWR1tFFsDC68TOOnYxWSFojQWw+oQIqAwAsz7jpXpC1AHwafNe5m0BvL2b+zJYFnCpzlHffhkA+iloAOinX9arVS7gqXWareBGVmpcwLK9gKs1S4DKAqjKAq4/pnEBVxw4lnWOF3KCxQAWolp+10QeAFv/BPGKwr/wElNjuL3nZgPA/KZNpM7WrP6RksCrswaAXvJlv1hlAcSGbLsIZu/bTGcMXxAtAFQlgci2guvRJIHUtWtcwBUH2wubSFmumjAXsETX1EYNAA0A5ZMs5BsYAPoNgAGgn35ZrzYAPCeRygJoAHhOXwPArI/inDsh8gDY8sf+FsDeW8wCWMYz3wDQb3ANAP30y3q1zAW8cXXWexdywuDqiFkAC/cQzSpP5Vgh6mW/pq5LYwFsOCpyAe87kv1HFXCGWQALEC3PSyIPgE1/6A+A/V82AMxz3kTpdANAv9EyAPTTL+vVKgtgxXoNAA4v1wDg6HxVFnDWISjoBFkSiMgFXNuhcQFD5QIeEPW3oNEuz4sMAMdwuwFgeU5u96sMAP2G1wDQT7+sV8sAUJQEMrxSkwU8skADgBMiC2BMZAGs6dVYAOuOaoDKYgCzPuIle0LkAbDxpf4WwIGvmAWwZGeof8cMAP00NAD00y/r1ZV1dVnPKeSEigtFdQCXawBwzHYCmR7mqgENANaKysBMiSyAk0OavYsLeZbK9ZqoA+BT61/sDYB3DH3VALBcJzgAA0C/wTUA9NMv69UyABQVgh5dzikR/DHaqrEATlZploD4sGbP3pouTSHo6pN9wQ8agMl2zV7ABoCS4TqvUQPAMRgA6udZmHfQrP5h/qLi3tsAUKy3DABFMYAjIgvgyPyYROkJWR1ASXdRe1YDgLXHNQA4dUhTB9AAUDO/UluNPADWvcjfAjj8NbMA6qdaaHcwAPST3gDQT7+sV1fW1GY9p5ATKi8U7QSyROMCHm8R7QSisgCKdgKp7hotZLizXhM/rQHASdFOIJOjI1l/k53gp0DkAbDmhf4AOPp1A0C/aVTSVxsA+g2PAaCfflmvjpoFUJYEosoC1nAlZFnA3ZoYwLr23qxzsZATZDGAw8OFdMeuyUOByANg9QsQryj8AU9MjeOOsW8YAOYxZ6J2qgGg34gZAPrpl/VqlQWwYr1mKzhVDOCICABlLuCxqaxjW8gJtV2avYBrRQA4eUizE4hZAAuZPfldYwBoAJjfjIne2QaAfmNmAOinX9arVQBYuUaTBTy6TJMEMqZKAolploD4qCYJpLpHEwNY1aGxAMqSQMwFnHXt8D0h6gD4lPjzvS2Adya+aRZA34lUwtdrVv8S/sEBd80AMGBB05uTuYAtC3haalUWsMwFLMoCrjnWI5nJk0dEFsAxUaFFiQrRbDTyABh7nj8ATvzfQgDw9QDeBmApgAcBvBHAPdGcBeXdawNAv/E1APTTL+vVUbMAji/S7AQy3hitMjCV4xoXcHWvxgIYPykCwGOiMjAGgFnXDt8TDADHcWf+APgiADcDeC2AXwF4C4AXANgE4LTvmNj1wSpgAOinpwGgn35Zr5ZZAEU7gYys0LiAR1s1ZWCmKrMOQUEnxEc0AFjTrQHAapUF8KioDIwBYEHzMp+Log6A11c819sCeNfUt/O1ABL67gXwBqc1VxiawT8J4MP56G/n6hUwAPTTeBoAr8GzEEfh2VZ+XSjvqytraiQ/sHLlckm7iYUiC2CTZn5NiVaAyoQGAKv6NGVgYmf7JfNh4vhJSbtTCQ0ISzob0Ua/00tDVrBHX18fVq2ajj9uAaCpPQQE8l5KYBw/w/fZV9bMSn1A+BDO9CByY0luUfN8ALemKPclAK0AbghWTWvNVwHR8u/brchcvwKA5hM/MhJYR00BU8AUMAXyVIBQdTzPe91bsgAADL5JREFUa3I9ncVTD7kYvFyvyXQeN8lO/6p9P4D3zXABv6r5m64GcHfKv38UwJMBXOnbGbs+WAUMAP30pH6c9LmYD1ghmLCY/jXl1wPd1dZfnbZs2fQ1fdMVsDkxN+YEx5nBoRoz+TkNCYG0yCmOTBbATAD4MQDXAniiojPWZuEKGAAWrl2+V06b5cWm/3z7NNv51t8g1fzfbZm+pm+6AjYnbE5oFdC2bi5grb6Bt24AGLikGRu0xV2rtelr+qYqELX5wL5Hrc/WX+0zF8XWmQTCki8s/cKDSSBHAfyLJYGU3nAaABZvTGyx1Gpt+pq+BoDaOWAWy+LqG8W7JcvAvNqBIMvAvBDAZgCnoviDyrnPBoDFG12ms74LwN9lyKAqXk9yu5P1NzedCj3L9C1Uudyui5q+/FVR67P1N7e5ONfOYgmYZCHoBwC8ydUEnGs6lPzvNQAs+SGyDpoCpoApYAqYAqaAKRCsAgaAwepprZkCpoApYAqYAqaAKVDyChgAlvwQWQdNAVPAFDAFTAFTwBQIVgEDwGD1tNZMAVPAFDAFTAFTwBQoeQUMAEt+iKyDpoApYAqYAqaAKWAKBKuAAWCwemZrjVnAHwLwTwCYHl+qB7e4+wiAZwKoB7AfwCsA/LoEOxxz2xL9kdv6iBX2vwjgb8SV9nOV4jqXEXcZgGUAnpu2TyafQW6t9Cq3X+bPAfwZgLZcbxDwebP1lxsSU9dnAVjrCpvfBuCdbmeDgLuSU3PZ9E1t5N8BsDzFWwF8IqfWgz8pl/5ucc8ft8+KA3gUwB+4emrB92j2FrP1l9uEfRjA7wNY4LYg+2cA/1bsjrr7cY19nis7MgzgFwDeAWBvSn+4S8Y/AHixy7z+EYDXWZmSkEbMbhuaAgaAxZP+CgBfdxuA31nCADgPwP0A2MdPAzgDYAOAA+6/4imW253eDeDPAbwMwC4AlwO4CcB7APBFFPZBiH4SgN8A+NYMAMiXE19aLwdwEMAHAWwHsBXASAidn62/3MD+mwA+C+BBAJwr/JghhFP3MI5s+ib7REDh/qWLAHBrqrAAMFt/17n6aZ8H8J9uvbgIwC8BnA5B4Gz9/QyApwK4EcBhAL8D4FMOwr4bQn9/COCrAO518MwP7m3ueRp0/eG69mz3zHF3JhYpnnTPaQhdtluaAuEoYABYHN35lUwA4FfmXwJgbaRStQDya57Awr0bo3B8z325/2lKZwla/PqnVbCUDu79mWoB5PNHiyWtEX/vOkrIYsFUAiFfZGEe6f2dqS/8sGHl/9UhWahS+5Spv7Roc4eCpwP4bwd/YQFgtv5yzMcB/HGYA5/h3jPp+wiAr7kPl+Rl9wH4gVvrwv4ZBH6CM62pP3VbcfKj9qXuY4b9Y5Hi3QCucqAddp/t/qZAURQwACyKzPgSgC7nerqrxAGQ7ia6RFa6RfO4+6Kn1acUD1oA6daj5WEfgEsA/D9nFfxyiXU4/QVKNyotq5e6OZHs7k/c398ccv9zAcDfcnq3OmtVmF2eqb/ciopu6u84ayWtVIS/UgRA9pUWqY8CuMbNi0OuePytYQrr7j2TvrQAcv7SwsqPmesB0PJHCxuBK+xjvQunoFWdsEpr5e3Oet2T0rkjbk58POwO2/1NgWIpYACoV5pxJnRH0lJCl16pA2DS7fiPAL4B4AluYXwNgJv1cuV9B7406eZ5O4AJ546k3txxpdSO9Bfo1QAY87ccQEdKZxkqwHO5rVKYRzYAZCwV+78HwB+G2dFZAIXu9ac46x9/TykD4FI3D4ac9YxhGM9w85u/gR8GYR4zzQfuBkII/BMACedKZTxrKawVXBsIo/w4IVDzoOWPISLsd+pBKzb1ZkiGHabAnFDAAFA7zKtc4gStU4yZ4lHqADjm+kw4SR6MpSPA0kVSagcBmzFd3HqIMYA7HLAyLpCW11I6cgVAgjdhlr8tzGM2AGRCCF3ttBTT6tMXZkfdvdP7y8Qbunx3piSplDIA8kOAFnfG/hFUkgchhvFrLwlZ45nmw1+4BCb+SSsak0b48cVQB1pewzwY68cYRsLfMdeRTADImEFaBpnQZIcpMCcUMADUDjPdIt92L/PknRgwz4WUQcf8CuWLvpQOLuI/dkHdyX4xK5Wxi4ylKrWj3WUh/mtKx9hXxv8xtqeUjnJxARP+aKWkC5sutc4SETldX8bZ0pLNZy31+ePfOW8uDLnf6f2tdqDHrHBmWycPZuQTYhibG+aR3t8657Im7BG0k8fn3IcBrZdhHUzsuMEBKd3oycNcwGGNiN235BQwANQOSZMLjk+9C90PdJlxUWdMSqkdXwFAy2VqEgjjYq4EkGoVLJV+Ez4IfPzaTx50+7FszcZS6aTrR6YkECaAMBGER7MLWi/VJJAk/DEznG5JBtSXypGuL8uSsPRO6sH41lucGzC1NEgYv2EmixrLljAuNDUJhB+RTGpKtQqWQn85VxmzyLJATPpIHiy3s8bF5Ra7n3ynfdJZIGmZTi+nxCQrzllaU2nB5sF1gnPBkkCKPVp2v1AVMAAsvvyl7gKmq5cvofc6Kw9jAJkAwkSLUkuq4Oix5h8TERijSBcwA9IZk/SFEonnYQY4A9F5sLwOXdOMNWJS0FHXR7qdWMaGlgqWgbk4xDIws/WXQf58adKl+rtpddP4exg+UOwjm77p/QnbBZytv7SmMav29W6e0IrGhBXCzM+KLS6AbP3lerYQwBucC5jZtvwY4zxP/SgrVtdZgoagTOtfKuATVAnRPNgvQis/shi6QGDkUYofuMXSze4zBxUwACz+oJc6AFIRvtwZx0MrD6GEbrRSzQKmlZXQxBfnYhfrxRiqD4QEJOkzii9uAl/6wfhEvoCShaAJ2AxW50ue5YKY0RzGMVt/WUcv1Z2W2j9aAzm3i31k07fUADCX/r7S1YZkfCUhhh9jzGIO48jWXyaucK1gnPN8B4H8AKPXgBbOYh+Z7kmPAD8WeSQLQdMKyDCcZCHok8XurN3PFAhTAQPAMNW3e5sCpoApYAqYAqaAKRCCAgaAIYhutzQFTAFTwBQwBUwBUyBMBQwAw1Tf7m0KmAKmgClgCpgCpkAIChgAhiC63dIUMAVMAVPAFDAFTIEwFTAADFN9u7cpYAqYAqaAKWAKmAIhKGAAGILodktTwBQwBUwBU8AUMAXCVMAAMEz17d6mgClgCpgCpoApYAqEoIABYAii2y1NAVPAFDAFTAFTwBQIUwEDwDDVt3ubAqWvQBQKl5e+itZDU8AUMAVKTAEDwBIbEOuOKVBiChgAltiAWHdMAVPAFAhCAQPAIFS0NkyB8lUgDACsLpFt/Mp3VO2XmQKmwJxXwABwzk8BE8AUmFUBAuBDAEYA3OjA7N8AcF9gHhcA+CSApwGYBPBDAG8EcMr9O/df5R7Hv59yl08A2AGA+8zy4D0eAZAA8EcAHgbAvYXtMAVMAVPAFBApYAAoEtaaNQXKRAHC2aUA/hHAVwBcBYBQ93QAtwG4D8AggLcAiAP4FID+FLjLFQAvA/BpAJ93uu0tE/3sZ5gCpoApUJIKGACW5LBYp0yBklGAABgDcG1Kj+4BcAeA2wH8AMAaAO3u37cC2AXgCQDudbCYiwWwxYFmyfxw64gpYAqYAuWsgAFgOY+u/TZTwF8BAiCB7vUpTX0HQCeABwC81QFg6p26AbwZwM15AGAbgFf5d9daMAVMAVPAFMhFAQPAXFSyc0yBuavATEkgtwLoAXC/A721afLw3xgHeAuALwBYAOCGlHP+FcBFaTGAhEm6ke0wBUwBU8AUKIICBoBFENluYQpEWIHZAPDLs7iArwDwawAfcQkddAknj58DGDcAjPCssK6bAqZA5BUwAIz8ENoPMAWkCswGgK9wSSADaUkg/Hsyw5fJIowTfDmAu12WLy19tB6mZgGbBVA6jNa4KWAKmALnK2AAaDPCFDAFZlNgNgAk1GUrA8O23w/gNQBqnUu4CsB2A0CbeKaAKWAKhKeAAWB42tudTQFTwBQwBUwBU8AUCEUBA8BQZLebmgKmgClgCpgCpoApEJ4CBoDhaW93NgVMAVPAFDAFTAFTIBQFDABDkd1uagqYAqaAKWAKmAKmQHgKGACGp73d2RQwBUwBU8AUMAVMgVAUMAAMRXa7qSlgCpgCpoApYAqYAuEpYAAYnvZ2Z1PAFDAFTAFTwBQwBUJRwAAwFNntpqaAKWAKmAKmgClgCoSngAFgeNrbnU0BU8AUMAVMAVPAFAhFAQPAUGS3m5oCpoApYAqYAqaAKRCeAgaA4WlvdzYFTAFTwBQwBUwBUyAUBQwAQ5HdbmoKmAKmgClgCpgCpkB4ChgAhqe93dkUMAVMAVPAFDAFTIFQFPj/Wa0rkn8S96MAAAAASUVORK5CYII=\" width=\"640\">"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.figure()\n",
"SIS_converted_mmh.SIS.plot()\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>date</th>\n",
" <th>hour</th>\n",
" <th>SIS</th>\n",
" </tr>\n",
" <tr>\n",
" <th>timestamp</th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>2001-01-04 12:00:00</th>\n",
" <td>2001-01-04</td>\n",
" <td>12</td>\n",
" <td>195.051298</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2001-01-04 13:00:00</th>\n",
" <td>2001-01-04</td>\n",
" <td>13</td>\n",
" <td>151.286995</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2001-01-04 14:00:00</th>\n",
" <td>2001-01-04</td>\n",
" <td>14</td>\n",
" <td>84.116440</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2001-01-04 15:00:00</th>\n",
" <td>2001-01-04</td>\n",
" <td>15</td>\n",
" <td>15.100343</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2001-01-04 16:00:00</th>\n",
" <td>2001-01-04</td>\n",
" <td>16</td>\n",
" <td>0.000000</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" date hour SIS\n",
"timestamp \n",
"2001-01-04 12:00:00 2001-01-04 12 195.051298\n",
"2001-01-04 13:00:00 2001-01-04 13 151.286995\n",
"2001-01-04 14:00:00 2001-01-04 14 84.116440\n",
"2001-01-04 15:00:00 2001-01-04 15 15.100343\n",
"2001-01-04 16:00:00 2001-01-04 16 0.000000"
]
},
"execution_count": 13,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"SIS_df.iloc[60:65,:]"
]
},
{
"cell_type": "code",
"execution_count": 14,
"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>date</th>\n",
" <th>hour</th>\n",
" <th>SIS</th>\n",
" </tr>\n",
" <tr>\n",
" <th>timestamp</th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>2001-01-04 13:00:00+01:00</th>\n",
" <td>2001-01-04</td>\n",
" <td>13</td>\n",
" <td>195.051298</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2001-01-04 14:00:00+01:00</th>\n",
" <td>2001-01-04</td>\n",
" <td>14</td>\n",
" <td>151.286995</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2001-01-04 15:00:00+01:00</th>\n",
" <td>2001-01-04</td>\n",
" <td>15</td>\n",
" <td>84.116440</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2001-01-04 16:00:00+01:00</th>\n",
" <td>2001-01-04</td>\n",
" <td>16</td>\n",
" <td>15.100343</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2001-01-04 17:00:00+01:00</th>\n",
" <td>2001-01-04</td>\n",
" <td>17</td>\n",
" <td>0.000000</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" date hour SIS\n",
"timestamp \n",
"2001-01-04 13:00:00+01:00 2001-01-04 13 195.051298\n",
"2001-01-04 14:00:00+01:00 2001-01-04 14 151.286995\n",
"2001-01-04 15:00:00+01:00 2001-01-04 15 84.116440\n",
"2001-01-04 16:00:00+01:00 2001-01-04 16 15.100343\n",
"2001-01-04 17:00:00+01:00 2001-01-04 17 0.000000"
]
},
"execution_count": 14,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"SIS_converted.iloc[60:65,:]"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Get solar position"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [],
"source": [
"# solar position for center of Switzerland\n",
"solpos = get_solarposition(SIS_df.index, LAT, LON)\n",
"solpos_converted = get_solarposition(SIS_converted.index, LAT, LON)"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {},
"outputs": [],
"source": [
"solpos['converted_azimuth'] = - solpos['azimuth'] + 90 + 360 * ((-solpos['azimuth']+90) < 0)\n",
"solpos_converted['converted_azimuth'] = -solpos_converted['azimuth'] + 90 + 360 * ((-solpos_converted['azimuth']+90) < 0)\n"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {
"scrolled": true
},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
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"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>apparent_zenith</th>\n",
" <th>zenith</th>\n",
" <th>apparent_elevation</th>\n",
" <th>elevation</th>\n",
" <th>azimuth</th>\n",
" <th>equation_of_time</th>\n",
" <th>converted_azimuth</th>\n",
" </tr>\n",
" <tr>\n",
" <th>timestamp</th>\n",
" <th></th>\n",
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" <th></th>\n",
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" <th></th>\n",
" <th></th>\n",
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" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>2001-01-01 03:00:00</th>\n",
" <td>132.041097</td>\n",
" <td>132.041097</td>\n",
" <td>-42.041097</td>\n",
" <td>-42.041097</td>\n",
" <td>78.937205</td>\n",
" <td>-3.473005</td>\n",
" <td>11.062795</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2001-01-01 04:00:00</th>\n",
" <td>121.835538</td>\n",
" <td>121.835538</td>\n",
" <td>-31.835538</td>\n",
" <td>-31.835538</td>\n",
" <td>90.601605</td>\n",
" <td>-3.492696</td>\n",
" <td>359.398395</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2001-01-01 05:00:00</th>\n",
" <td>111.640071</td>\n",
" <td>111.640071</td>\n",
" <td>-21.640071</td>\n",
" <td>-21.640071</td>\n",
" <td>101.037509</td>\n",
" <td>-3.512378</td>\n",
" <td>348.962491</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2001-01-01 06:00:00</th>\n",
" <td>101.791097</td>\n",
" <td>101.791097</td>\n",
" <td>-11.791097</td>\n",
" <td>-11.791097</td>\n",
" <td>111.143456</td>\n",
" <td>-3.532049</td>\n",
" <td>338.856544</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2001-01-01 07:00:00</th>\n",
" <td>92.601323</td>\n",
" <td>92.601323</td>\n",
" <td>-2.601323</td>\n",
" <td>-2.601323</td>\n",
" <td>121.529339</td>\n",
" <td>-3.551711</td>\n",
" <td>328.470661</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" apparent_zenith zenith apparent_elevation \\\n",
"timestamp \n",
"2001-01-01 03:00:00 132.041097 132.041097 -42.041097 \n",
"2001-01-01 04:00:00 121.835538 121.835538 -31.835538 \n",
"2001-01-01 05:00:00 111.640071 111.640071 -21.640071 \n",
"2001-01-01 06:00:00 101.791097 101.791097 -11.791097 \n",
"2001-01-01 07:00:00 92.601323 92.601323 -2.601323 \n",
"\n",
" elevation azimuth equation_of_time \\\n",
"timestamp \n",
"2001-01-01 03:00:00 -42.041097 78.937205 -3.473005 \n",
"2001-01-01 04:00:00 -31.835538 90.601605 -3.492696 \n",
"2001-01-01 05:00:00 -21.640071 101.037509 -3.512378 \n",
"2001-01-01 06:00:00 -11.791097 111.143456 -3.532049 \n",
"2001-01-01 07:00:00 -2.601323 121.529339 -3.551711 \n",
"\n",
" converted_azimuth \n",
"timestamp \n",
"2001-01-01 03:00:00 11.062795 \n",
"2001-01-01 04:00:00 359.398395 \n",
"2001-01-01 05:00:00 348.962491 \n",
"2001-01-01 06:00:00 338.856544 \n",
"2001-01-01 07:00:00 328.470661 "
]
},
"execution_count": 15,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"solpos.head()"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {},
"outputs": [],
"source": [
"SIS_df['solar_hour'] = SIS_df.hour + LON / 15"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## ROUND"
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {},
"outputs": [],
"source": [
"RND = 20\n",
"SIS_df['apparent_zenith'] = util.round_to_interval(solpos['apparent_zenith'], 5)\n",
"SIS_df['azimuth'] = util.round_to_interval(solpos['azimuth'], RND)\n",
"SIS_grouped = SIS_df.groupby(['azimuth', 'apparent_zenith' ]).mean().to_xarray()"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
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"</style>\n",
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" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>date</th>\n",
" <th>hour</th>\n",
" <th>SIS</th>\n",
" <th>solar_hour</th>\n",
" <th>apparent_zenith</th>\n",
" <th>azimuth</th>\n",
" </tr>\n",
" <tr>\n",
" <th>timestamp</th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" </tr>\n",
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" <tbody>\n",
" <tr>\n",
" <th>2001-01-01 03:00:00</th>\n",
" <td>2001-01-01</td>\n",
" <td>3</td>\n",
" <td>0.000000</td>\n",
" <td>3.548501</td>\n",
" <td>130.0</td>\n",
" <td>80.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2001-01-01 04:00:00</th>\n",
" <td>2001-01-01</td>\n",
" <td>4</td>\n",
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" <td>4.548501</td>\n",
" <td>120.0</td>\n",
" <td>100.0</td>\n",
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" <tr>\n",
" <th>2001-01-01 05:00:00</th>\n",
" <td>2001-01-01</td>\n",
" <td>5</td>\n",
" <td>0.000000</td>\n",
" <td>5.548501</td>\n",
" <td>110.0</td>\n",
" <td>100.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2001-01-01 06:00:00</th>\n",
" <td>2001-01-01</td>\n",
" <td>6</td>\n",
" <td>0.000000</td>\n",
" <td>6.548501</td>\n",
" <td>100.0</td>\n",
" <td>120.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2001-01-01 07:00:00</th>\n",
" <td>2001-01-01</td>\n",
" <td>7</td>\n",
" <td>19.664998</td>\n",
" <td>7.548501</td>\n",
" <td>95.0</td>\n",
" <td>120.0</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" date hour SIS solar_hour apparent_zenith \\\n",
"timestamp \n",
"2001-01-01 03:00:00 2001-01-01 3 0.000000 3.548501 130.0 \n",
"2001-01-01 04:00:00 2001-01-01 4 0.000000 4.548501 120.0 \n",
"2001-01-01 05:00:00 2001-01-01 5 0.000000 5.548501 110.0 \n",
"2001-01-01 06:00:00 2001-01-01 6 0.000000 6.548501 100.0 \n",
"2001-01-01 07:00:00 2001-01-01 7 19.664998 7.548501 95.0 \n",
"\n",
" azimuth \n",
"timestamp \n",
"2001-01-01 03:00:00 80.0 \n",
"2001-01-01 04:00:00 100.0 \n",
"2001-01-01 05:00:00 100.0 \n",
"2001-01-01 06:00:00 120.0 \n",
"2001-01-01 07:00:00 120.0 "
]
},
"execution_count": 18,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"SIS_df.head()"
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {
"scrolled": true
},
"outputs": [
{
"data": {
"text/plain": [
"<xarray.Dataset>\n",
"Dimensions: (apparent_zenith: 22, azimuth: 14)\n",
"Coordinates:\n",
" * azimuth (azimuth) float64 40.0 60.0 80.0 ... 260.0 280.0 300.0\n",
" * apparent_zenith (apparent_zenith) float64 25.0 30.0 35.0 ... 125.0 130.0\n",
"Data variables:\n",
" hour (azimuth, apparent_zenith) float64 nan nan nan ... nan nan\n",
" SIS (azimuth, apparent_zenith) float64 nan nan nan ... nan nan\n",
" solar_hour (azimuth, apparent_zenith) float64 nan nan nan ... nan nan"
]
},
"execution_count": 19,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"SIS_grouped"
]
},
{
"cell_type": "code",
"execution_count": 155,
"metadata": {},
"outputs": [
{
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" button.mouseover(tooltip, toolbar_mouse_event);\n",
"\n",
" var icon_img = $('<span/>');\n",
" icon_img.addClass('ui-button-icon-primary ui-icon');\n",
" icon_img.addClass(image);\n",
" icon_img.addClass('ui-corner-all');\n",
"\n",
" var tooltip_span = $('<span/>');\n",
" tooltip_span.addClass('ui-button-text');\n",
" tooltip_span.html(tooltip);\n",
"\n",
" button.append(icon_img);\n",
" button.append(tooltip_span);\n",
"\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" var fmt_picker_span = $('<span/>');\n",
"\n",
" var fmt_picker = $('<select/>');\n",
" fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
" fmt_picker_span.append(fmt_picker);\n",
" nav_element.append(fmt_picker_span);\n",
" this.format_dropdown = fmt_picker[0];\n",
"\n",
" for (var ind in mpl.extensions) {\n",
" var fmt = mpl.extensions[ind];\n",
" var option = $(\n",
" '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
" fmt_picker.append(option)\n",
" }\n",
"\n",
" // Add hover states to the ui-buttons\n",
" $( \".ui-button\" ).hover(\n",
" function() { $(this).addClass(\"ui-state-hover\");},\n",
" function() { $(this).removeClass(\"ui-state-hover\");}\n",
" );\n",
"\n",
" var status_bar = $('<span class=\"mpl-message\"/>');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"}\n",
"\n",
"mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
" // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
" // which will in turn request a refresh of the image.\n",
" this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
"}\n",
"\n",
"mpl.figure.prototype.send_message = function(type, properties) {\n",
" properties['type'] = type;\n",
" properties['figure_id'] = this.id;\n",
" this.ws.send(JSON.stringify(properties));\n",
"}\n",
"\n",
"mpl.figure.prototype.send_draw_message = function() {\n",
" if (!this.waiting) {\n",
" this.waiting = true;\n",
" this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
" }\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" var format_dropdown = fig.format_dropdown;\n",
" var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
" fig.ondownload(fig, format);\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
" var size = msg['size'];\n",
" if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
" fig._resize_canvas(size[0], size[1]);\n",
" fig.send_message(\"refresh\", {});\n",
" };\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
" var x0 = msg['x0'] / mpl.ratio;\n",
" var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
" var x1 = msg['x1'] / mpl.ratio;\n",
" var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
" x0 = Math.floor(x0) + 0.5;\n",
" y0 = Math.floor(y0) + 0.5;\n",
" x1 = Math.floor(x1) + 0.5;\n",
" y1 = Math.floor(y1) + 0.5;\n",
" var min_x = Math.min(x0, x1);\n",
" var min_y = Math.min(y0, y1);\n",
" var width = Math.abs(x1 - x0);\n",
" var height = Math.abs(y1 - y0);\n",
"\n",
" fig.rubberband_context.clearRect(\n",
" 0, 0, fig.canvas.width, fig.canvas.height);\n",
"\n",
" fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
" // Updates the figure title.\n",
" fig.header.textContent = msg['label'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
" var cursor = msg['cursor'];\n",
" switch(cursor)\n",
" {\n",
" case 0:\n",
" cursor = 'pointer';\n",
" break;\n",
" case 1:\n",
" cursor = 'default';\n",
" break;\n",
" case 2:\n",
" cursor = 'crosshair';\n",
" break;\n",
" case 3:\n",
" cursor = 'move';\n",
" break;\n",
" }\n",
" fig.rubberband_canvas.style.cursor = cursor;\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_message = function(fig, msg) {\n",
" fig.message.textContent = msg['message'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
" // Request the server to send over a new figure.\n",
" fig.send_draw_message();\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
" fig.image_mode = msg['mode'];\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Called whenever the canvas gets updated.\n",
" this.send_message(\"ack\", {});\n",
"}\n",
"\n",
"// A function to construct a web socket function for onmessage handling.\n",
"// Called in the figure constructor.\n",
"mpl.figure.prototype._make_on_message_function = function(fig) {\n",
" return function socket_on_message(evt) {\n",
" if (evt.data instanceof Blob) {\n",
" /* FIXME: We get \"Resource interpreted as Image but\n",
" * transferred with MIME type text/plain:\" errors on\n",
" * Chrome. But how to set the MIME type? It doesn't seem\n",
" * to be part of the websocket stream */\n",
" evt.data.type = \"image/png\";\n",
"\n",
" /* Free the memory for the previous frames */\n",
" if (fig.imageObj.src) {\n",
" (window.URL || window.webkitURL).revokeObjectURL(\n",
" fig.imageObj.src);\n",
" }\n",
"\n",
" fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
" evt.data);\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
" else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
" fig.imageObj.src = evt.data;\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
"\n",
" var msg = JSON.parse(evt.data);\n",
" var msg_type = msg['type'];\n",
"\n",
" // Call the \"handle_{type}\" callback, which takes\n",
" // the figure and JSON message as its only arguments.\n",
" try {\n",
" var callback = fig[\"handle_\" + msg_type];\n",
" } catch (e) {\n",
" console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
" return;\n",
" }\n",
"\n",
" if (callback) {\n",
" try {\n",
" // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
" callback(fig, msg);\n",
" } catch (e) {\n",
" console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
" }\n",
" }\n",
" };\n",
"}\n",
"\n",
"// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
"mpl.findpos = function(e) {\n",
" //this section is from http://www.quirksmode.org/js/events_properties.html\n",
" var targ;\n",
" if (!e)\n",
" e = window.event;\n",
" if (e.target)\n",
" targ = e.target;\n",
" else if (e.srcElement)\n",
" targ = e.srcElement;\n",
" if (targ.nodeType == 3) // defeat Safari bug\n",
" targ = targ.parentNode;\n",
"\n",
" // jQuery normalizes the pageX and pageY\n",
" // pageX,Y are the mouse positions relative to the document\n",
" // offset() returns the position of the element relative to the document\n",
" var x = e.pageX - $(targ).offset().left;\n",
" var y = e.pageY - $(targ).offset().top;\n",
"\n",
" return {\"x\": x, \"y\": y};\n",
"};\n",
"\n",
"/*\n",
" * return a copy of an object with only non-object keys\n",
" * we need this to avoid circular references\n",
" * http://stackoverflow.com/a/24161582/3208463\n",
" */\n",
"function simpleKeys (original) {\n",
" return Object.keys(original).reduce(function (obj, key) {\n",
" if (typeof original[key] !== 'object')\n",
" obj[key] = original[key]\n",
" return obj;\n",
" }, {});\n",
"}\n",
"\n",
"mpl.figure.prototype.mouse_event = function(event, name) {\n",
" var canvas_pos = mpl.findpos(event)\n",
"\n",
" if (name === 'button_press')\n",
" {\n",
" this.canvas.focus();\n",
" this.canvas_div.focus();\n",
" }\n",
"\n",
" var x = canvas_pos.x * mpl.ratio;\n",
" var y = canvas_pos.y * mpl.ratio;\n",
"\n",
" this.send_message(name, {x: x, y: y, button: event.button,\n",
" step: event.step,\n",
" guiEvent: simpleKeys(event)});\n",
"\n",
" /* This prevents the web browser from automatically changing to\n",
" * the text insertion cursor when the button is pressed. We want\n",
" * to control all of the cursor setting manually through the\n",
" * 'cursor' event from matplotlib */\n",
" event.preventDefault();\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" // Handle any extra behaviour associated with a key event\n",
"}\n",
"\n",
"mpl.figure.prototype.key_event = function(event, name) {\n",
"\n",
" // Prevent repeat events\n",
" if (name == 'key_press')\n",
" {\n",
" if (event.which === this._key)\n",
" return;\n",
" else\n",
" this._key = event.which;\n",
" }\n",
" if (name == 'key_release')\n",
" this._key = null;\n",
"\n",
" var value = '';\n",
" if (event.ctrlKey && event.which != 17)\n",
" value += \"ctrl+\";\n",
" if (event.altKey && event.which != 18)\n",
" value += \"alt+\";\n",
" if (event.shiftKey && event.which != 16)\n",
" value += \"shift+\";\n",
"\n",
" value += 'k';\n",
" value += event.which.toString();\n",
"\n",
" this._key_event_extra(event, name);\n",
"\n",
" this.send_message(name, {key: value,\n",
" guiEvent: simpleKeys(event)});\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
" if (name == 'download') {\n",
" this.handle_save(this, null);\n",
" } else {\n",
" this.send_message(\"toolbar_button\", {name: name});\n",
" }\n",
"};\n",
"\n",
"mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
" this.message.textContent = tooltip;\n",
"};\n",
"mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
"\n",
"mpl.extensions = [\"eps\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\n",
"\n",
"mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
" // Create a \"websocket\"-like object which calls the given IPython comm\n",
" // object with the appropriate methods. Currently this is a non binary\n",
" // socket, so there is still some room for performance tuning.\n",
" var ws = {};\n",
"\n",
" ws.close = function() {\n",
" comm.close()\n",
" };\n",
" ws.send = function(m) {\n",
" //console.log('sending', m);\n",
" comm.send(m);\n",
" };\n",
" // Register the callback with on_msg.\n",
" comm.on_msg(function(msg) {\n",
" //console.log('receiving', msg['content']['data'], msg);\n",
" // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
" ws.onmessage(msg['content']['data'])\n",
" });\n",
" return ws;\n",
"}\n",
"\n",
"mpl.mpl_figure_comm = function(comm, msg) {\n",
" // This is the function which gets called when the mpl process\n",
" // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
"\n",
" var id = msg.content.data.id;\n",
" // Get hold of the div created by the display call when the Comm\n",
" // socket was opened in Python.\n",
" var element = $(\"#\" + id);\n",
" var ws_proxy = comm_websocket_adapter(comm)\n",
"\n",
" function ondownload(figure, format) {\n",
" window.open(figure.imageObj.src);\n",
" }\n",
"\n",
" var fig = new mpl.figure(id, ws_proxy,\n",
" ondownload,\n",
" element.get(0));\n",
"\n",
" // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
" // web socket which is closed, not our websocket->open comm proxy.\n",
" ws_proxy.onopen();\n",
"\n",
" fig.parent_element = element.get(0);\n",
" fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
" if (!fig.cell_info) {\n",
" console.error(\"Failed to find cell for figure\", id, fig);\n",
" return;\n",
" }\n",
"\n",
" var output_index = fig.cell_info[2]\n",
" var cell = fig.cell_info[0];\n",
"\n",
"};\n",
"\n",
"mpl.figure.prototype.handle_close = function(fig, msg) {\n",
" var width = fig.canvas.width/mpl.ratio\n",
" fig.root.unbind('remove')\n",
"\n",
" // Update the output cell to use the data from the current canvas.\n",
" fig.push_to_output();\n",
" var dataURL = fig.canvas.toDataURL();\n",
" // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
" // the notebook keyboard shortcuts fail.\n",
" IPython.keyboard_manager.enable()\n",
" $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
" fig.close_ws(fig, msg);\n",
"}\n",
"\n",
"mpl.figure.prototype.close_ws = function(fig, msg){\n",
" fig.send_message('closing', msg);\n",
" // fig.ws.close()\n",
"}\n",
"\n",
"mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
" // Turn the data on the canvas into data in the output cell.\n",
" var width = this.canvas.width/mpl.ratio\n",
" var dataURL = this.canvas.toDataURL();\n",
" this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Tell IPython that the notebook contents must change.\n",
" IPython.notebook.set_dirty(true);\n",
" this.send_message(\"ack\", {});\n",
" var fig = this;\n",
" // Wait a second, then push the new image to the DOM so\n",
" // that it is saved nicely (might be nice to debounce this).\n",
" setTimeout(function () { fig.push_to_output() }, 1000);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('<div/>')\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items){\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) { continue; };\n",
"\n",
" var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" // Add the status bar.\n",
" var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"\n",
" // Add the close button to the window.\n",
" var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
" var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
" button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
" button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
" buttongrp.append(button);\n",
" var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
" titlebar.prepend(buttongrp);\n",
"}\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(el){\n",
" var fig = this\n",
" el.on(\"remove\", function(){\n",
"\tfig.close_ws(fig, {});\n",
" });\n",
"}\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(el){\n",
" // this is important to make the div 'focusable\n",
" el.attr('tabindex', 0)\n",
" // reach out to IPython and tell the keyboard manager to turn it's self\n",
" // off when our div gets focus\n",
"\n",
" // location in version 3\n",
" if (IPython.notebook.keyboard_manager) {\n",
" IPython.notebook.keyboard_manager.register_events(el);\n",
" }\n",
" else {\n",
" // location in version 2\n",
" IPython.keyboard_manager.register_events(el);\n",
" }\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" var manager = IPython.notebook.keyboard_manager;\n",
" if (!manager)\n",
" manager = IPython.keyboard_manager;\n",
"\n",
" // Check for shift+enter\n",
" if (event.shiftKey && event.which == 13) {\n",
" this.canvas_div.blur();\n",
" event.shiftKey = false;\n",
" // Send a \"J\" for go to next cell\n",
" event.which = 74;\n",
" event.keyCode = 74;\n",
" manager.command_mode();\n",
" manager.handle_keydown(event);\n",
" }\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" fig.ondownload(fig, null);\n",
"}\n",
"\n",
"\n",
"mpl.find_output_cell = function(html_output) {\n",
" // Return the cell and output element which can be found *uniquely* in the notebook.\n",
" // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
" // IPython event is triggered only after the cells have been serialised, which for\n",
" // our purposes (turning an active figure into a static one), is too late.\n",
" var cells = IPython.notebook.get_cells();\n",
" var ncells = cells.length;\n",
" for (var i=0; i<ncells; i++) {\n",
" var cell = cells[i];\n",
" if (cell.cell_type === 'code'){\n",
" for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
" var data = cell.output_area.outputs[j];\n",
" if (data.data) {\n",
" // IPython >= 3 moved mimebundle to data attribute of output\n",
" data = data.data;\n",
" }\n",
" if (data['text/html'] == html_output) {\n",
" return [cell, data, j];\n",
" }\n",
" }\n",
" }\n",
" }\n",
"}\n",
"\n",
"// Register the function which deals with the matplotlib target/channel.\n",
"// The kernel may be null if the page has been refreshed.\n",
"if (IPython.notebook.kernel != null) {\n",
" IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
"}\n"
],
"text/plain": [
"<IPython.core.display.Javascript object>"
]
},
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"output_type": "display_data"
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{
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zNChQzFp0iRkZWWBToiZMGECatasebHx9evXg+Ymvf7GG2+gR48e+O677+g+x9GjR/Py8vJGAZgAICe8HvPdcUJAEoAZu8V5ABvUYw+g6LnDAlA0Ua6PCfxF4Pbk5OSPAdwwYMCAxBdeeEHHaVx4eogk8O677+LDDz/EtGnTcMMNN2Dz5s3o2bMn3nnnHbzwwgtSU6NHj8bIkSMlz161atUkgbdjxw7s3r0bJpNJuqZevXoYPnw4ypcvjyeeeAIrV65EpUqVQAEjixcvJpHp2LFjR77H43nH5/PRnLaLHAfXFXMEJAG4TaAAbMgCUPgkYQEoHClXyATQIDk5+SOv13vbK6+8kjBgwAB9amoqY2ECwgm0b98eZcuWpaPgLtbdqVMnKUk4eQXJ+0dewYEDB5LnWbomOztbuocEYbdu3aTn0tPTpXyBZcqUAZ0sQ4KSRKG/UD0rVqzAgAEDHPv27XM4nc4hAOiUEc4lKNyqMVEhC0ANmJEFoAaMxF3UDIEqZrN5tNvtfqhPnz66119/PYFTuWjGdprsKHkAP//8cyxbtgy0n3T79u24++67Ja8gJQ4/dOgQqlevjq1bt4LOifaXVq1aSX+PHTtWeooE5HPPPQePxyMtBY8bN+6yPEgIzpkzhwSl49y5c+fsdvtAALM5fYwmp08kOy0JwN92l0WKgKPgrLk+NK7HeQBFG4wFoGiiXF88EkhLTEwcmp+f/++uXbv63nnnHWOVKlXikQOPOcoEaIl2yJAheO+996TzoGlPIC3/vvrqq1JP1q1bJ+35O3HihLS86y9du3aV9gh++y0F+hYUm80Gl8uFkiVLXnMUJBSnTJlC7TgdDsdBu93+IoCfr3kjXxAvBCQBuHmXOAF4yw0sAEVPHhaAoolyffFEINlgMLyk0+levuOOO/D++++bbrzxxngaP49VYQIzZ87ESy+9RHNP2gO4bds29OvXT/IAUiDHlQRgly5dJMFI94dT7HY7Pvnkk/zhw4e7dTrdrzabjYTg1nDq5HtjggALQA2YkQWgBozEXVQdAXrfPGQ2myfUrVs3ZezYsWY6ro0LE4g2AQrUeOWVV6TlW38ZMWKEtP9v7969QS8Bh9vvzMxMvPvuu96xY8fmJyQkTHE6na8AuBBuvXy/ZglIAvDXXeWELQH/44ZTBIOPghM4JVgACoTJVcUFgdrJycmTDAZD07FjxyY9/vjj0Ov1cTFwHqT6CFx33XUgwUf79vyFIn5peXbfvn0Xg0AoAIQCQahQ0mcK9ggMAhE1MjpZpHfv3s41a9a48/Ly+ss5BPlUEVGAtVOPJADX7SovTADeesNJFoCC7c8CUDBQri5mCaQYjcY3fT5f/2eeeYb2WRlKlCgRs4PlgWmDAOX8W758OSZOnCgtAVOwB83PXr16SelfqNC/o0aNkiJ7q1atKqWBycjIuCQNjMjRUqDIggUL8OyzzzpzcnJ+t9vtTwHYIrINrkv1BFgAqt5EAAtADRiJu6goAXqPdDaZTOPr16+fMmnSJFNgNKWiPePG455Abm6uJOjmzZuHM2fOSClfHnnkEbz55pswGo0SH38iaIoWpkTPtF1h/PjxUtRwJAvtD3z33Xd97733ni8hIWGq0+l8mZeFI0lcVXVLAnDNzgrCPIAt659gD6BgE7MAFAyUq4spArUtFstko9HYxL/cS5GTXJgAEwiewIEDByRvIC8LB88sBq6UBODqndcLE4Ct6h9nASh4YvC3mWCgXF1MEEjQ6/UD9Hr9iKefflr/7rvv8nJvTJiVB6EUAf+y8DPPPOO0Wq1b7Hb7YwD+VKo/3G7ECbAAjDji8BtgARg+Q64htgiQ12/GddddV3f69Okmju6NLePyaJQlQAEo/fv3d3/99ddet9tNQSITOYm0sjaJUOuSAFyxs5IwD+Ad9Y+yB1CwsVgACgbK1WmWAHn9+uv1+nf69OmjHzlypMFisWh2MNxxJqBmAnRyyeOPP07ewM2yN/CwmvvLfQuZAAvAkJFF/wYWgNFnzi2qj0At2etX77///a/ptttuU18PuUdMIMYI0JnE/fr1c//3v/8lb2A/AJ+zNzBmjCwJwJ93VEaygKPgbLk+3HnjEfYACp4eLAAFA+XqNEWAvH799Hr9u71799aPGjWKvX6aMh93NhYILF26VPIG2u32TTab7XEA7A3UvmElAbhsR7owAXj3jdK04ETQAucGC0CBMLkqTRGoaLFY5pQqVaoB7fVjr5+mbMedjTEC5A188cUX3dOnTydvIOUNnB5jQ4y34bAA1IDFWQBqwEjcReEE7jcajTMefvjhpAkTJhiTk5OFN8AVMgEmEDqBH374AY8++qjL4/HMdDqddLyJPfRa+A4VEJAE4JKMqsI8gPc2+CMUD+D1lAMdwL0AaDP3AQA9AWyW2ZD2GQbgaQCU0X8tAJpv+wPYlQIwDkAHAHSazRwAdNa1VQV8hXSBBaAQjFyJRggYExMTRyUkJPSdNGlS4mOPUSYKLkyACaiJwNGjR/HQQw85d+3addzhcHQEsEtN/eO+BEVAEoCLMqohOTUhqBuudpEt14v7GxwKVgCWBLAVwEoAEwCcBVATwEH5QfVQUvJXATwJgCoeDuBGAPUAOOW+LAFQHsC/ASTKxxpuAvBo2ANSSQUsAFViCBV3g34V0aOK3Ef6MH4bAL05qDwjvyEaA0gFQG++rELjoXxf6YWeozffqIDn6JfY6/JJAc8C+FUwkyoWi2V+5cqVa8+fP99Uu3ZtwdVzdUyACYgi4PF46IQT75gxY2hJmD5/pkQxQIQ+m94FMBYABadQWQWgVaHxUQob+qzylwcAfCD3kw5eXiiKhwbrUVIA0vdKCwBXiuYj3UPHioyR7eUXlqdlQTgTQF0AuwE0CfAa3gNgMYCK8v0aNMulXWYBqHkTRnwA5P72yi50aqwHgJcANJJ/mdMHpEnuxcirCMAvAEwK6G0uAJv8d2UAPwN4AgC57klg0i8xUeUho9H4dc+ePRM//vjjRJPJ311R1XM9TIAJRILATz/9hK5du+bl5eUtcDgctDeQPjciWegL/zsAObIHKVAA7gPwZkDjtDxN11FJClhmpO/VLwFUB+CKZGdVXLckABdkVBfmAXygATnwggoCIeG2VBZqJNrpCJHxAd8/1WRPIH2HbQtguFr+m5Z5e8kCkRwa/mKQvYNdAMxTMfugu8YCMGhUfGEAgQuyCCRR5y+t5Q/MK3kAPwZAj8uV+vIvfKqjDIAVAKoKIG5KSkr6KCEh4alp06Yldu7cWUCVXAUTiB6BKlWq4PDhvwfF9unTB5999hmcTicGDhyImTNnIi8vD+3atZPO+S1btuzFTi5YsACDBg0CHWM4ZswYtG/fPnoDENDSqVOn0KVLF+eWLVvOOhwO8rIFfmkLaOFiFSkAfgPQR16NoHYCBWDg34XbJcGTAeAW+QVaKmwQBcEqcvwi65IE4LztNYUJwAdvkrbnkfct8EdAHgB6BBb/Eu6HAGYBaCp/99BS7lcAbpX3/FUAcDLgRhL++QAeBjBEdnYUXio6A2CovLQskpcidbEAVAS7ZhulzRz062ea7AGkX1rBCkByu9E+CkrmRBF+HwHwBNxPYpK8i/SLmZaD/xsmpQoWi2VJjRo1as2bN89UrRr96OPCBLRF4OzZs/B6yQFfUHbu3Im77roLK1euROvWrdG7d28sWrQIU6dORfHixdG3b1/o9XqsXUt72iGJwho1amDKlCmg49h69eqFgwcPwmg0agoEMXj33Xd9w4cP97jdbvLOhPv5cLnx0+ca/bilE0poybewALwBAH1nngLwg7xvLDBIhYQBbWMhEUH/vqcpyGI7GykBWLiXFMjxVqEn6TuEgj1I6PnLJ/JybvOrCEASi/Rm63YVAUj7Cd8A8B+xuJSpjQWgMty11iptjl0vL/VSBBRtgqW9EIHlah7AAfIva/pwpTclLRXTnh56PrBcJ0f9OcIE1NRkMi3p3LlzyuTJk41JSbQ6w4UJaJ9Av379sHDhQuzfvx90rFpaWhqmT58Ov3d77969qFu3LtavX49mzZpJ1zRo0ACbNxcEPzZp0gQZGRlITaXtutorP/74Izp16uT2eDxjXS7XK/IXtoiB0Jf+a7JIIA9SYQFIe53JFUt7x8izRxGmGwE8VKhxylNHEaORXqoWMeZI1iEJwDnbawnzAHa6iVbgg/IAkp1+AvCvgAHSPlIS5bTFiJeAZTAsACP5FoidusldQPv0KFy+k/zGor0VwXoAC5OgX/C0gZqWXAq778Ol9lhiYuKXlNS5f//+Olr24sIEYoGAy+VChQoVMGDAAAwZMgQrVqzAnXfeiczMTJQoQW/NgpKenk4nbNCZu9Lfw4YNw4gRI6QlYPp38ODBmsbx+++/01K38+zZs2vsdjt9Hvn34RV1XJVkj9HdALbLlRQWgIXrvkPet1wjILK0qO3H4n2SAJy1vQ4sAqKA7bledLlpL3EKJhE0rTCRTQODQGjF6R+yA8IfBEIBOxQIQoX6S8u7FBUcGARCS/pb5GtofvzIQSCxOF15TKEQWC5/6NGeCn+5mgewcN20lLITQB0Av4fS8FWuTUhMTHwvMTGx79y5c420F4oLE4glAt999x3lyMORI0ckIUiev549e0rLvIGladOmaNOmDUaPJidVQaFEy7Q0rFXPX2E7ZmVlUaqYvA0bNpxwOBz0xUx53opa/ilv6v9rrR2g7S60lEvePFpCCHyN2qHkobQaQpGhFHDA5VICSgpACuRZJ+/Vo319tAeQAhDJi+vfOkBpYMiDTNuOKMEgpYEhz27hNDC0mZYivf1pYMiVzmlgeLbHNQEK0qC9fPRrqSgCsLu8Gbc0gEwBJIubzeY5ZcuWbbF06VJTrVq1BFTJVTABdRGgHzW0d4+SJVO5kgCkZV7yDI4aFZhlSV1jEdEb2hf40ksveT777LM8l8tFIo5+mBal0Hp44TRVtEWFXE6kounHauFCaUbWALhJDv4oSruxfI8kAGduqyfMA9itobTgFIwHkK6jSCfaakT5/0jgUUBIYBYKfyJoEoXkPidbUvCPtM4sF0oE/WmhRNAvcCLoWJ62PLbCBCgfFuX8Oyrn+aNfP/TriVxstM+inPwgVzm9wW6X97+QQKQ9f7TpllzvlJST9sXQ3+SOpzrp11e4pabZbF526623lp89e3ZS4FJYuBXz/UxALQQoEpgCmebOnYuOHSk3MoJeAlbLGCLVj2nTpuHpp592e73el3w+H232J89duCVwCZjSufj3PZ+XPUX0GXbsMrkBw203Vu6XBOD0bfWFCcBHG0o6PFgBGCscIzoO3iAVUbwxUTlF594pZ0TPln/t0q9iEn9UKAKLot8KFzp2ZyoAShBNOZhouZeWUujX2NfyL7Jw9//dZjQal/Tt2zfpvffeMyQkhJ9xPiYsxoOIOQJvvfUWJk6cCDolw2CgdGQFy7oUBDJjxgwKjJCe27dvHyjJuT8IJOZAXGFAGzZswH333ZfncDi+ko+QK7xkGyqKQAFI+8m+AUDpqmjpl34MUx64EQL2H4baL61czwJQA5ZiAagBI3EXL0ugY2Ji4neffPJJ4rPPPsvzmCdJzBLw+XyoWrUqHnnkkb8t61IamMWLF0tpYIoVK4bnn39e4rBuHW2Biq9CeyNbt27tPHXq1HKHw0Hpqvz54OILhDpGKwnAr7feKMwD+HijHTQy9gAKtC9/cQqEyVVFjcC/jEbj+BkzZiQ+9FDhLAxR6wM3xASiQmDZsmVSgmeKfi28v9WfCJq8gIGJoMuVo50Z8VfOnz9P+x+d+/fv326322mbCq1acIk+ARaA0WcecossAENGxjcoSEBnMBheNxqNbyxevDixVavCR3Mq2DNumgkwAVUQsNlsePDBB/PWrFnzp8PhaFPotAdV9DEOOiEJwKlbbxLmAXyykZShhz2AAicPC0CBMLmqiBLQJyUlfZaSktJzxYoVSZTclgsTYAJM4HIE3G43nnzySffcuXPPOZ1O+gcuzEYAACAASURBVKUonSPGJWoEJAH45W+NhAnAXo23sgAUbD4WgIKBcnURIZBkNptnpqWl3bNq1SoT7YfiwgSYABO4GgE6+m7w4MGecePG2fLy8trKyZ4ZWnQIsACMDuewWmEBGBY+vjkKBFItFsvi6tWr3/Lzzz+bKOqRCxNgAkwgWAJjxozxvfrqqy632/1AQPaCYG/n64pGQBKAk367WZgH8OnG0oEcvARcNHtc9i4WgAJhclXCCRSzWCyrbrnllnqLFi1KSkmhk+O4MAEmwARCI/DNN9+gV69eJAIfvMw55qFVxlcHQ0ASgBN/uxnmlIK0ReEUh9WDf7MADAchC0Dh9LjCSBIoQeKvefPmdRYuXJhkMpki2RbXzQSYQIwTmDVrFrp37+52u92UNLHgOBUukSLAAjBSZAXWyx5AgTC5KmEESlksltUtW7asuWDBgqSkJMofzYUJMAEmEB6BefPm4eGHHyYR+LCczDm8CvnuKxGQBOCE35oI8wD2bryJ2uIlYIFzjgWgQJhclRACJS0Wy5rWrVtXnzt3Los/IUi5EibABPwEFixYgM6dO5MI7AZgLpOJCAFJAH665R/CBGDfm39lASjYVCwABQPl6sIiQMu+/2vVqlXN+fPnJ9HB91yYABNgAqIJ/PDDD3R8HolAOjHke9H1c31gAaiBScACUANGipMuUsDHLy1btqzDy75xYnEeJhNQkEDAcjAdJ7RQwa7EYtOSAPxkSzNhHsAXbt7AHkDBM4UFoGCgXF2RCKTQnr/mzZvfwAEfReLHNzEBJlAEArNnz8ajjz7qTxGztAhV8C2XJyAJwI823ypMAPa/RTrfmvcACpxxLAAFwuSqikQg0Ww2L2vcuHHzn376iRI+F6kSvokJaJXA8ePH8fLLL2PJkiWw2+2oUaMGpkyZgltuuUUaEiU0Hjp0KCZNmoSsrCy0aNECEyZMQM2aNS8Oef369ejdu7f0+htvvIGnnnpKqzii3m86R7lHjx55brebTgyRNppxCZsAC8CwEUa+AhaAkWfMLVyZgN5sNs+oWrXqA+vXrzcVK0afGVyYQPwQyMzMRKNGjdCmTRtJwFGi8/3796N69erSg8ro0aMxcuRITJ06FdWqVZME3o4dO7B792740yPVq1cPw4cPR/ny5fHEE09g5cqVqFSpUvyADHOkn3zySf7gwYOteXl5TQHsDbM6vh0FewA/2NxSmAdw0C1riCt7AAXOLhaAAmFyVaERSEpK+jgtLe3fmzdvNpUtWza0m/lqJhADBF555RWsXbsW//vf/y47GvL+VahQAQMHDsSgQYOka7Kzs0HvFxKE3bpRICuQnp6OVatWoUyZMmjdujWmTZsGEoVcgicwZMgQ70cffXTe6XQ2BnA8+Dv5yssQYAGogWnBAlADRorFLur1+peKFSs2fPPmzUl+T0csjpPHxASuRoBEWrt27XDs2DGsXr0a119/Pfr06YOnn35auu3QoUOSJ3Dr1q1o2LDhxapatWol/T127FjpuS+++ALPPfccPB6P5EkcN24cgw+RAIntXr16ub/77rvDdrudPIGZIVbBl/9FQBKA7226TZgHcHAT6UcSewAFzjIWgAJhclVBE3jCbDZPXrt2bSItf3FhAvFKwL+EO2DAAHTp0gUbN25Ev379MHHiRGkpd926ddKevxMnTkjLu/7StWtX6HQ6fPvttxefs9lscLlcKFmyZLziDHvcJKAfeOCBvNWrV++w2+23A3CEXWl8ViAJwFGbWsEk4Cg4p9WDV5qsZgEoeC6xABQMlKu7JoH7EhMT5//444+Jd9xxxzUv5guYQCwToFyXFOxBQs9fXnjhBWzatAkU2HElAUhiMSEhATNnzoxlPIqMzeFw0DK6MyMjY7XT6WwPwKNIR7TdKAtADdiPBaAGjBRDXWyWmJi46ptvvkkiDwYXJhDvBGjv3l133YXJkydfREERviNGjABFBwe7BBzvHEWPn4JzmjZt6jx27Nh3TqfzSQrGFt1GjNcnCcB3N7YR5gEc0nQlewAFTxoWgIKBcnVXJJCelJS0/b333iv2wgsv8LzjicIEAMpBh6NHj14SBNK/f3/8+uuvkvfPHwRCASAUCEIlJydHCvYIDAJhmOIJkABv3Lix88KFC297PJ6R4luI6RolATh84x3CBOAbTVewABQ8ZfiLWDBQru6yBJLNZvOWJ554otp//vOfRGbEBJhAAQFa6r311lsxbNgwkFec9gBSAMjnn3+O7t27S9dQGphRo0ZJkb1Vq1aV0sBkZGRckgaGeUaGAAXfNG/e3J2Xl8enhYSGmAVgaLwUuZoFoCLY46pRyvU3v1GjRnetWrXKlJjI+i+urM+DvSaBhQsX4tVXX5Xy/5HAo4AQfxQw3exPBE2ikBI9t2zZEuPHj0etWrWuWTdfED6BRmU7YOf5ZV6P19UAwO7wa4yLGiQBOOzXtsI8gEP/sZw9gIKnDgtAwUC5uksJGAyGYWXKlBm8fft2U+nSpRkPE2ACTEAzBO6tVpB7cf/pVTjh2ZvlcNlqADivmQEo11FJAL4pCcDwf/Q7rW68zQJQuDVZAApHyhUGEOhkMplmbNq0KbF+/foMhgkwASagGQJ+8ef3wm47OQ9W/bnNNkfurQDcmhmIMh1lAagM95BaZQEYEi6+OAQCNyUmJv46a9aspI4dO4ZwG1/KBJgAE1COQKDwC+yFJzcLv2bPh1tvm+TMcz6jXA810bIkAF/fcLcwD+CIZsto4JwIWqD5WQAKhMlVXSRQxmQyZbz22mtpr7/+up65MAEmwAS0QOBK4s/fd3vOSWzMmedzuh3PApikhTEp1EdJAL66/h5hAnBk8x9ZAAo2JgtAwUC5OhgsFsvae++9t+GsWbOMdFoBFybABJiA2glcS/xJ/bfZcN51HFtzl/g8Xs9tAP7K4K32AUa3fywAo8u7SK3xt3ORsPFNVyJgNBpHVq5cuR8FfVgsFgbFBJgAE1A9gaDEn38UNhv+tGfgD9fWrDyXg4NCLm9dSQC+sv5eJAkIAsmzujGq+RL2AAp+J7EAFAw0zqu722g0Lty6dWsiHXLPhQkwASagdgIhiT95MPlWK3Y4liPTe2qVw2GjMy35pJBLDc0CUO0THwALQA0YSSNdLJ+UlLRn/PjxxXv16qWRLnM3mQATiGcCLbqMkYZfbMvJ0DDYbHD5nNiYO89nd+cO8vl8H4VWQcxfLQnAl9bdL8wD+P6ti9gDKHjasAAUDDROq0uwWCyrO3To0GTGjBm87y9OJwEPmwlohYBf+Pn7G7IApBttNmS6T2Fz9kKf1+f5B4DNWhl/FPopCcCBa9sLE4BjWixkASjYcCwABQONx+oMBsObFSpUeHXnzp2m1NTUeETAY2YCTEAjBAqLvyKLQJtNuvUPxzYccWWcc+TZaT9gtkYwRLqbLAAjTVhA/SwABUCM8ypuT0xMXL5x48bEhg0bxjkKHj4T+DuBt956SzrrN7DUrl0be/fulZ5yOp0YOHAgZs6ciby8PLRr10466q1s2bIXb1mwYAEGDRoEiqofM2YM2rdvz6iLQOBK4o+qKqoXkI7qy3Aszc/xnF9ic+aSYXg/ICAJwH5rHxDmAfy4xQL2ABZhzl/tFhaAgoHGWXVpJpNpzwcffFDqueee47kUZ8bn4QZHgATg7NmzsXy5dJapVAwGA/xHI/bu3RuLFi3C1KlTUbx4cfTt2xd6vR5r166VriVRWKNGDUyZMkU6F5j22B48eBBGozG4DvBVEoGriT8/oqKKwDyfA7/mzPHZXdY+ACYy8gIB+MKajsIE4Cctv2cBKHhi8Ze2YKBxVJ3OYrH82LZt21bz589P4nx/cWR5HmpIBEgAzp8/H9u2bfvbfdnZ2UhLS8P06dPRuXNn6XXyDNatWxfr169Hs2bNkJOTgwYNGmDz5oItZk2aNEFGRgZ4u0XwZghG/BVZBMpLwXJ+QK/H67kJwK7gexeTV7IA1IBZWQBqwEgq7WKPkiVLTjxw4EBSqVKlVNpF7hYTUJ4ACcD3339f8u6ZTCY0b94cI0eOROXKlbFixQrceeedyMzMRIkSJS52Nj09Hf369UP//v2l52gJecSIEdISMP07ePBg5QemkR6EIv5oSEX1AtK9+x2/4pRn/36bw0p5sDwaQRSJbkoCsO+aB4V5AD9tOY89gIItxQJQMNA4qe56o9G4b9asWZYHHnggTobMw2QCRSOwZMkSWK1W0L6/kydPSmLu+PHj2LlzJ3744Qf07NlTWuYNLE2bNkWbNm0wevToi0+Tt5CWhtnzF5odQhWARRKBshfQm+/BRuu8/Ny8zDd8Pt87ofU0pq6WBGDv/z0kTABOuG0uC0DBU4QFoGCgcVCdzmw2/9SxY8fbKOVLHIyXh8gEhBLIysoCefg+/PBDmM3mywpAWuYlz+CoUaOEth2vlYUqAsPxAma5T2NT9g+UGoaWgnfGKXMWgBowPAtADRhJZV18smTJkv/hpV+VWYW7oykCJPDatm2Lu+66K6glYE0NToWdDVUAhuMFpHv3OzbilGdfPC8FSwLw3790EuYBnHj7HPYACn5vsQAUDDTGq5OWfmfPnm3p0KFDjA+Vh8cEIkOAloNp/x/tDezRo4cUBDJjxgx06tRJanDfvn3ScrE/CCQyvYi/WkMVgeF4AWkpeJN1fn5O3oV4XQqWBOAzq7vAKOAsYJfVjc9bzWIBKPhtywJQMNAYro6Wfpf/85//bDl9+nRe+o1hQ/PQxBKg/H30g4mWfU+cOIGhQ4dKEcG7d++WxB+lgVm8eLGUBqZYsWJ4/vnnpQ6sW7dObEfivLZQBWCRvIB0k7wfMM6XglkAauD9xgJQA0ZSSRd7XnfddRP279+fVLJkSZV0ibvBBNRPoFu3bvjll19w/vx5SfC1bNkS77zzDqpXry513p8ImryAgYmgy5Urp/7BaayHURGBsgAkNAccG3HCs++A3WGtG2dRwZIAfGp1V2EewC9afcceQMHvNxaAgoHGaHUVjEbj/jlz5lj4BIIYtTAPiwnECYFQRWDYS8G2+b4cp7QU/G6cIJacpyQAe64iARj+gpHL6sKU1iwARc8fFoCiicZgfWazedY999zTYe7cuUkxODweEhNgAnFEIFQBWKSl4AAvYKb7FLbkLPJ4vG5y+R6JE9QsADVgaBaAGjCSwl1slZSU9NOBAwcSK1asqHBXuHkmwASYQPgEQhWB4XgBqbe7Hb/gvPfIMpvd2i783muiBkkA9ljZTZgHcFqbmbwELNj0LAAFA42x6hItFsvuoUOHVh88eDDPlRgzLg+HCcQrgVAFYLhewDyfHWuzvvW5PHn3AlgWB9xZAGrAyPylrgEjKdjF/lWrVn137969Jj54XkErcNNMgAkIJxCqCAzXC3jYsROH3VtP2522dACXHv0ifHSKVygJwMdXPiLMA/h1mxnsARRsVhaAgoHGUHXljUbjwcWLF5vpRAIuTIAJMIFYIxBNEejL92Gz7fv8LOfZeMgNKAnAR1c8KkwATr9jerAC8C0AQwvN1d8B1JGfMwEYA6AbANrXvhRAHwCnA+6pDGACgDYArACmAXg11iK5WQDG2ieaoPGYzeZv77nnno4c+CEIKFfDBJiA6giEKgBpACF7AgMDQlwnsSWXAkI8sR4QorQA7AygbcCE8wA4J/9Nwu5+AE+SSAXwKQAfgBby6wkAtgE4BeAlAOUBfAVgEoAhIU7iRACUz8kC4CyACyHeH9HLWQBGFK9mK789KSlpOQd+aNZ+3HEmwASCJBCqCAxZAFI/AkSgFBDiPrLU5rTeE2QXtXiZJAC7/fyYMA/gzDu/CcUD+E8ADS8DrrgsxB4FMFt+nTyDewA0B7ABAO3TXAigQoBX8FkAowGkAXBdwyCpAB6TPYxNAVAeHNJa+QCOyXtAPwewSWnDsgBU2gLqa99gsVj2vPnmm9Vffvllnh/qsw/3iAkwAYEEQhWA4XoBAwJCSAD+JHAoaqpKEoBdf34cxmQBeQBtLnx359c0PkpFkRswUNpLWXg/JS0Bk+eOvHtOAOvl5VtKwXMHgJ8B0GkGWQH1HAbwMYCPALwN4IFCArIqgEMAGgPYehXQ/QG8DuAggB8AbARwAoADQCkA9QHcBoAE6q8A6Nif/UoZjr/glSKv3nafrlSp0tgDBw6YOfBDvUbinjEBJiCOQKgiMFwv4J/2DBz1Zhy1OawkLLziRqKamiIlAAsPcBgAEnyBhTx4KQBo3x8t39J+wOtl8UWH2E+R9/4F3kNCbSWAlwGQd44CdQJT9tASrg3AfQCWXIUy5aoZDmDXNSxBew97yt7EL5WyGgtApcirs12LyWQ6+tVXX5Xq0qWLOnvIvWICTIAJCCYQqgCk5sMRgb58L9blfuezOrNpH5rk2oqxIgnALj8/gUQBHkC3zYVZd9I2vKA8gIVRlgBAHr4BsifucgKQlmPJM/jKNQQgicsfY8VWLABjxZICxqHX61+pV6/em9u3bzfr9XoBNXIVTCD+CIwcORJDhgzBiy++iI8/plWlv877nTlz5iXn/ZYtW/YioAULFmDQoEHQ6XQYM2YM+NjF6M6dqIjAgL2Axx2/44D710yH005eqlhLCyMJwE7LewgTgHPaUiAuaA9fThFmBgm85fKSeySXgIvQNeVuYQGoHHu1tVzSaDQeW7RokaVt28DgKbV1k/vDBNRLYNOmTejatSuKFSuGNm3aXBSAvXv3xqJFizB16lQUL14cffv2Bf3IWrt2rTSYvLw81KhRA1OmTEF+fj569eqFgwcPgrdhRNfWoYrAcLyA+fk+bLTNy8+0n6V9Y2OjO9KIt6YmAUjLwbT/j5aKSUVSNO4jAObIFGrJy8WFg0BImJ+Rr3kGwPsAygQp1m8CQMvNFPVLhxj7I5CpOmJDvwx7RdwK12iABaDSFlBJ+0aj8f1mzZr1Xb16NeVI4sIEmECIBKxWKxo3bozx48djxIgRaNiwoSQAs7OzkZaWhunTp6NzZ8pOAezduxd169bF+vXr0axZM+Tk5KBBgwbYvHmz9HqTJk2QkZGB1FQKKOQSLQKhCkDp23zLydC6F+AFPJN3GDvtKxwudx6lCimKZyu0tqN3tSQAH/yppzAP4Ly7aOU2KA/gB3IABi37UiQv7ROkiOB6svijNDC0l4+W34n5OBnLrfK//jQwFLwxWE7jQsv0k4NMA3O33D4Fd9AbOBkA7amiPYZUyO1PdVM7ihYWgIriV03j1xsMhkMbNmww3nzzzarpFHeECWiJQI8ePVCqVCl89NFHaN269UUBuGLFClAy9czMTJQoQduRCkp6ejr69euH/v3JAQQMGzZMEo60BEz/Dh5M3z1cok0gVBEYsgCkAckikLy9Wx2L8i84T73j8XjeiPZYI9ieJAA7LuslTAB+f7cUKxHMEjAFYtwO4DpZ8K0B8JocmUt1+BNBkxcwMBE05f27+PaUE0G3loM/yHNI+wMpn+C1yjpZ7FGbpLEoIplsSyKQ9g+yALwWQX49egRMJtOUe++99xFO+hw95txSbBGgvX3vvPMOaAnYZDJdIgDJ89ezZ09pmTewNG3aVFomHj2a0osVFPIW0tIwe/6Umx+hCkDqacgi8G/JoRd7PF43Rar6lxyVAyCmZSUFoJgRFL0WSj9D6WIoFYy/UN5Bii4m0elPDcMewKIz5jsFEahtMBh27t6921CzZk1BVXI1TCB+CBw9ehS33HILli1bhptuoq0/CEoA0jIveQZHjRoVP7A0MtJQRWDIApA4BIjADMdPOO86/nlenvPfGkF0rW5KArDDsqeEeQB/uPsLajMYD+C1+hbp10nEU7TwlkIN0dFzNIiBAD7jJeBIm4HrvyYBi8Xyfffu3e/9/PPP6cgaLkyACYRIYP78+XjwwQeRkPDXD3qv1yst5ZI3b+nSpaDAqmstAYfYLF8eQQKhCkDqSjgiMNdzARuy5vi8Pi8dEfdnBIcWrarjWQAuk0/7oL2IhQt5AGk5mT4s2AMYrdnI7VyWQB3y/h06dCihUqVKjIgJMIEiEMjNzcXhw7Tf/K9CS7516tTByy+/DHpvURDIjBkz0KlTJ+miffv2oXbt2heDQIrQLN8SYQJREYEBXsBdjhU46zr2hTPP/q8IDy0a1UsC8P6l/xLmAVzUjmIwNOEBfFDeg1iwuffyIpCiittEwxBXa4ODQJS2gILtm0ymr7t06dL1q6++Cv+sHgXHwU0zAbURCAwCob5RGpjFixdLaWAoRczzz9MJUMC6dbRfnItaCYQqAsPxAua4z+HX7Pler89DewFPq5VJkP2SBOC9Pz4tTAAuuWeSVgRgkIiUv4wFoPI2UKoHlRISEg7t2rXLQJ4ILkyACYgjUFgAOp1ODBw4UPICUjBIu3btpHQx5cpR9g8uaiUQqgCkcYQsAi/ZC7gs/5zj2Acuj0vrIeAsAC+d1JSLsPDpCoqn/WEBqNZPngj3KzExcdy999779Pfff09h8FyYABNgAkzgMgRCFYEhC0BqUxaBF1wnsdW62O32uNPIg6Zhg0gCsN2SZ4R5AJfeS0G0mlgC9puNznn+lGLC5NQz/udJd+XzHkANz26Nd720wWA4znn/NG5F7j4TYAIRJxCqAAzXC/ibfWH+OeuJ13zwjYz44CLXgCQA71r8b2EC8Kf7JmpNANIxPyT26JQXWtIn0RdYVkcOf3A1swcwOE4xdZXBYBjesmXLQStXruRTP2LKsjwYJsAEIkEgVBEYjheQTgfZZV9pz3M7SwNwRGI8UaiTBSBgBUAnK/weBd5FaoIFYJGwafqmVKPReGrp0qUW2qfEhQkwASbABK5OIFQBWCQvIN1ks0lnQW+yzfNdsJ+hSKHxGrWNJADbLv43DMnh7zLy2PKwXHseQDr67R0Ay9VqQxaAarVM5Po1qFGjRm9v2bLFTHnKuDABJsAEmMC1CURFBMp7AU86D2Cfa12mw2kvE+TxY9ceQHSvkATgHYueFSYAV9z/HxqBFhJB+0lTTkfq9DcAdgJwFzJBRnRN8vfWWAEobYHotp9oMplOzZw5s1THjh2j2zK3xgSYABPQOIFQRWBRl4J9+T5ssM7y5TgyHwMwQ4PYWAACzQBMB1AlwH60D5CDQDQ4oWOhyw9XqFBhypEjR8yBpxbEwsB4DEyACTCBSBMIVQBSf0IWgbIX8E97Bo75du6x2nPqRXpcEahfEoCtF/YW5gFc1X6C1jyAuwHsAfDeFYJALs0eHwEjXKtK9gBei1AMvZ6cnLzl7bffbjxgwIAYGhUPhQkwASYQPQKhisCQBSANxWaD25eH1Znf+DxedxMAv0VvhEJakgTg7T/0ESYAf+kgbYfU0hKwDQAdDn5ACNEIVMICMAJQVVplI6PRuPHUqVOGkiVLqrSL3C0mwASYgLoJhCoAw/EC7nWsxVn3oe9sTtvD6qbyt96xAAR+ADAVwBy12o4FoFotI7hfJpPpq+7du3ebPHlyouCquTomwASYQFwRiJYIzPVcwIasOT6vz1sWwDkNQZYEYMsFzwnzAK554DOteQDpvN/XAXwJYMdlgkAWKG1PFoBKWyA67ZcwGAxnNm/enHjTTeSR5sIEmAATYALhEAhVBBZ1KXirfXH+aesROhrug3D6G+V7JQHY4vu+wgTg2o50qIamloB9V2HOJ4FEeULGc3PPN2rUaNRvv/1miWcIPHYmUFQCEyZMAD3+/PNPqYobbrgBb775Ju69917pb/9ZvzNnzrzkrN+yZclxU1AWLFiAQYMGgdIvjRkzBu3bty9qd/g+FRAIVQBSl0MWgTYbKCXMfteGs3anlQ6OvpqoUAGVi11gAagma1yhL+wB1ICRwuyiLjk5+eBnn31WtUePHmFWxbczgfgk8MMPP4Ai52vUqCEBmDZtGt5//31s3bpVEoO9e/fGokWLMHXqVBQvXhx9+/aFXq/H2rV0GhQkUUj3TpkyRUr026tXLxw8eBBGozE+gcbIqEMVgSELQFJ81hz8L/u/PofLfjeAnzWCThKAzb9/XpgHcH3HcTR0LQSBfAXgewA/UjiPmu3FAlDN1hHTt5YWi+Xnc+fOGc1ms5gauRYmwARQqlQpSQR27twZaWlpmD59uvR/Knv37kXdunWxfv16NGvWDDk5OWjQoAE2b94svd6kSRNkZGQgNTWVSWqYQKgCsKhewN+tG3AGB5ba7NZ7NIIrngXgUAAPAKD0PavI+S8/jqvNdiwA1WYRwf0xm83Tn3rqqa7jxo1LEFw1V8cE4pKA1+vFrFmzQB518gCeOnUKd955JzIzM1GiRImLTNLT09GvXz/0799fem7YsGEYMWKEtARM/w4eTNu6uGidQKgisCheQHv2Cfwv81vk5/toT8EZDTCTBOA/5r8gzAP46z8/0YoH0G+eirIQpFMXWgHYJXsGSRBuU4MNWQCqwQqR60NyYmLi+Q0bNiQ1btw4cq1wzUwgDgjs2LEDzZs3l/b7paSkSB6/++67T/q3Z8+e0jJvYGnatCnatGmD0aNHX3w6OztbWhpmz1/sTJhQBWCRvIAANh6fjguuk3Q+sBQNofIiCcCm814UJgA3PjhWawIw0ETk6qcNwyQG6d9cFKSJoezWJAwVKSwAFcEetUYfqVKlyuRDhw5Z+NzfqDHnhmKUgMvlwpEjR5CVlYU5c+Zg8uTJWL16NbZt23ZZAUjLvOQZHDVqVIwS4WH5CURDBB45twlHPBlHrI6sdA2QZwF4ZSPRalxr2TtI6WEmK2VPFoBKkY9Cuynm1LWvvPZy89dee43tHAXe3ER8EWjbti2qV6+Ohx9+OKgl4PiiE3+jDVUEhroU7PI6sOroRPjyvTXVfLqEbHlJAN4yt58wD+Dmhz7WigfwLQArAGwA4FLzO4GFgZqtE17f0nTQn2mRcB/MumSppmXumeHVyHczASZwkcAdd9yBypUrY+zYsVIQyIwZM9CpUyfp9X37InDdIwAAIABJREFU9qF27doXg0AYW+wTCFUAEpFgRaCveMFn+LY9X+Oc+/DbPp+PAg3UXCQBePOc/sIE4JZOH2lFAP4BgLy0TgDrAayUBeFGAB41GY0FoJqsIbYvfUvqSo+7JeHOv9XKQlAsaK4t9gkMGTJEyvlXqVIl5ObmSvv+aG/f0qVLcdddd0lpYBYvXiylgSlWrBief562agHr1q2LfTg8wosEQhWBVxOAftEXiPfM4Y3Y51ibbXfm0nmelExYrSWeBSDZpAqANvJSLwWAVJZTwlBeKBKE9CBBqGhhAago/sg1nppcbN/1tho1KxloteDKhcVg5GzANccOgaeeego///wzTp48KeX5o5QuL7/8siT+qPgTQZMXkIJB2rVrh/Hjx6NcOcrdyyVeCIQqAIlLoAi8nOgLZOf1ebB65wfw+Fz/UIOAuIpdJQHYePYAJCQnhW1+ry0Pv3X+kOrRQh7Ay423aoAgpEAQcukawgYTZgUsAMMEqNLba+ih338b2sNoCD73H4tBlVqTu8UEmIBmCIQqAkkAXkv4BQ5+177ZOOc++J88d15vFUORBGAjEoAWAQLQnoet2hWAtBxMQR93yP+myfsD6W9FCwtARfFHpnG9Xv/Wdb5yQxsabgu6gYSA/GV005Kz/wn6Xr6QCTABJsAECggEKwANdu9FZKYTwR8YkXk0Axm5P9rzXE7yhqlqT1nAHIhnAUjLvST4aAmYHtfRbhAAqwH8IntuVREcwgIw9j61dBZT8unqzhvTyhmCzxZQWAD6sbAQjL0JwiNiAkwgsgSuJAIDRV9gD0IRgLrT57Dmwjc+W17OfQCWRnYkRa5dEoA3zR4ozAO4vfMY6owWloDpvOYjco4/2uu3BcBfar/ISMXfyAJQPFOla6yboE/Ydbuvg85gCN71fiUBGDgYFoNKm5bbZwJMQCsE/CLwSqKvqAJQf+YCdmevxin3/ikul7OXSnlIArDBrEHCBGBGlw+0IgC/BXA7ABOA/8mePxKCW9UWuMMCUKXvnjC6NbiCqfKoenlNdbqE4E9/C0YAXuxT6ZJYsmdkGF3kW5kAE2ACsU2ABGAw4o8ohOIBpOsvHNmGnbafcp15DvKIqTEaOJ4FoH9i1ykUCUyCcI0sCOmM4E1KvwNYACptAcHtFzMX21PBUaNORV01RFIAXuIZZDEo2IpcHRNgAlok0Li3lKvuYkk94g56GCGJwNNnsfLsFz63x9UEwG9BNxK9CyUBWP+7l4R5AHd2fV8rHsArUa4H4FEAlCOKo4CjNxfjpqU0HXSnW+I+XZLOHDUB6KfLXsG4mWc8UCbABGQChUVfNAQgLQPvtP6Uf8K6f7hKk0KzACyYCGXlgBB/UEgtAHRoOJ0SQgEiihb2ACqKX3jjPa4zlfmyUd7t+mh5/640AhaDwm3LFTIBJqASAlcTfdESgCfsv+MP98bDubZsSjqstiIJwBu+FecB3PWwZjyAXQKWfmvLkdqU9NmfAJoigkkEKl5YACpuAnEdSLEU+6mso1Lbqqgbde/f5UbhKk+fAcDPK14VN0iuiQkwASagEIFaIz5CyvHgG4/UEjB5AF0+J1ae/gL5+fmVABwLvldRuVISgPVmDha2BLy723vUcS1EAVOKl80Bgo9O/3BEhXqIjbAADBGYii9PMiQYrDd7WxtSdSVUJQADmbEYVPEM4q4xASbwNwIk+gKLWgQg9WmrdUH+6Zwjz8kpR9RkvXgWgLS/L/jEjgpajQWggvAFN90u2Zi6uJnrbr1Op1OtAPSPmYWgYOtzdUyACQgjUFj0FVUA0n2R9AL+Yd2KE76dG3Kt2c2FDV5MRZIArDvjZWEewD2PjNaCBzBU8Rfq9WKsI9fCAlAoTuUqS0pMmlwuv/JTNb03SZ1Qeg8g9cG/BHwtKiwGr0WIX480gZEjR2Lu3LnYu3cvzGYzbr31VowePRq1a9MWnoLiP+935syZl5z3W7Ys7fMuKAsWLMCgQYNAP8LGjBmD9u3bR7rrXL8gAlcTfYWbUIsX0ObJxNpzM30+n5eWRq2CUIioRhKAtae/IkwA/v7oKC0IwJMAxgKYBoD+f7lCuqstgAHyySCK5VRjAShiqqugjmRT8rkazpuuS9NV0JwApA6zCFTBJIrjLtxzzz3o1q0bmjRpAo/HgyFDhmDnzp3YvXs3kpPpRzrQu3dvLFq0CFOnTkXx4sXRt29f6PV6rF1LW3wgicIaNWpgypQptC8LvXr1wsGDB2E0GuOYrHaGrkUBSHTXZU735Tgu0C+NJSqiHa8CkH4xvgvgfgDb5L2AJASdAEoCoFQw5K2lI/xI+E1U8pQQFoAqeseE0ZXrddAda4UHYNAlasr7x+IvDKvzrREjcPbsWZQpUwarV6/G7bffjuzsbKSlpWH69Ono3Lmz1C55C+vWrYv169ejWbNmyMnJQYMGDbB5M+3/hiQmMzIykJqaGrF+csXiCGhVAO6xrsJx+94xHo9nkDgaYdckCcBa/xXnAdzXXRMeQD84Og+YooFvA0BnspoBnJNPA6Hj+0isK348HAvAsOe5KiroXtpc9quGztv01BstLf+yAFTF/OFOFCJw4MAB1KxZEzt27ED9+vWxYsUK3HnnncjMzESJEiUuXp2eno5+/fqhf//+0nPDhg3DiBEjpCVg+nfw4MHMViMEtCoAKR3Mn+6Nf+TYsqupCLUkAGt+QwKQDsAIr3jtTux/TFMCMLwBR+luFoBRAh3JZkxG8zflPOnda+TXl5qJVQHYYMBHyPiw4IuWCxOIFAGfz4cHHngAWVlZWLOGTm6C5Pnr2bOntMwbWJo2bYo2bdpI+wX9hbyFtDTMnr9IWSj4epstfRUb2gW3xUqrAtDptWL16WnIR76aUqSwAAx+mip2JQtAxdCLa9hiSj5Xy9nwutK68jEvAAOpsRgUN4e4pr8I0F6/JUuWSOKvYsWKVxWAtMxLnsFRoyTvBBeVECDhF1hiXQSuz5ruzbZfeADAYpWYQBKANb5+VZgH8MDjkpBXk8hVCeqid4MFYNHZqeXOijrojvr3/1GnYtkDeCXoLAbVMh213Q8K7Pj+++/xyy+/oGrVqhcHE+wSsLZHr+3eFxZ98SQA91hX47h9z4cej2egSqwoCcDqAgXgQRaAwk3LAlA40qhXGJ39fzSs0hTEFFwJNgUM1RZMBDAt/wZTWAgGQ4mvKUyAonaff/55zJs3D6tWrZL2/wUWfxDIjBkz0KlTJ+mlffv2SWli/EEgTDX6BK4m+uJJAKpwHyALwOi/HUJukQVgyMjUdYPZZP6mrCs+9v+FQp6FYCi0+No+ffpI+/zI+xeY+4/SvVBeQCq0NLx48WIpDUyxYsUkwUhl3To62pNLNAkEK/z8fYr1JWAV7gOUBGC1r4YIWwI+9ARlV+ElYJHvMxaAImkqUFeyKfl8TWfDUvG2/+9aqFkAXosQvx5IgKJ2L1cop9+TTz4pveRPBE1eQAoGadeuHcaPH49y5coxzCgTYAFYAJzOBPYXle0DZAFYYBhKGdAUQBkyV6G3yVdRftv8rTkWgEpbILz2y+ugOxHv+/8uh5AFYHgTi+9mAmomEKoApLEE4wXUWiRwoAikfYBHrbve8/l8L6vAdgUCcJpAD2APzXkAOwD4LwDKJJ8LID/ALvT/UkrbiQWg0hYIr/0OJUyl5t2Sd0eCv5p4DABhARjeJOK7mYAWCYQqAoMRgMRBayLQ7wU8atuJY97t27OtmQ1VYM8CATj1NegF5AH02Z049OQ7NKyiRAFTSDipRzqirZ/MhpITjgHQDUASAErO3AfA6QB2lMx5AoA28jF7dLwb1UWneART9slR2UMA2IO5IdrXsACMNnGx7b1VyVhtaG1344u1sgAsQMEeQLETjWtjAmojwAKwwCJ+AZjtOoMtWd/nuTx5tGk10NukhOnUIgCbAPgOQA6AlQECkIQdHddG+zuyAXwKwAeghQyLnCp0lNspAC8BoBxrtGQ7CQAJumCKDcCNAA4Fc7ES17AAVIK6oDaLWUqsLWdPv7WyriBiUWvij/osMgI4ECsLQEGTjKthAiolwALwUgHoy/di+amJ+b58Xw0ViA5JAFadIs4D+EfPkD2AKQB+kz17r8uCjjyA5EU8C+BRALPl6V0HwB75nN4NAO4FsBBAhQCv4LMAKON7GgBXEG+LuQBmygI0iMujfwkLwOgzF9aiKdFkvcH9j+SSOpqP2hOAwYg/GlewKWD8YFn8CZtiXBETUC0BFoCXCkD6a1PuHN/53JO0rDlLYcNJArDKl68LWwL+s9cIGhJlZqf9dP5CR/NcejzPX6/Rki1FydDxUasCBOAd5HsAQHnNsgLqOgzgYwCUc+xtAJRYO3A5nRKDkjePlty2BsH3KQBvApgCYAcAd6F7FgRRR0QvYQEYUbwRrZxc0ida458w6AwsAANQswCM6LzjypmAKgiwAPy7ANxjXYWj1t1qCASJlAAsPPeGAXjrMhOSRPBrAGgJ2FlIAJLnj0QZ7f0LLBvlZWIKovkcQDqAdgEXWADQsu59AJYE8SagJeUrFVqiv7h3P4i6InIJC8CIYI1Kpe1LmErN5wCQv7NmARiV+ceNMAFFCYQqAKmzwQSCRCoIhNpPPVLYCXRlhKYTpDWCK/59gEdsO3Hcu31btjWzUXB3RuyqAgH4xRviPIBPDafOBuMBrARgM4C7AWyXRxjoAbySANwkewZfuYYApOXhHyNGLooVswCMImzBTQ2taKz6Vh33zRer1doeQF4CFjwjuDomEGcEQhWBwQhAQhgpERhpAZjtOo0tWQvUEAgiCcD0yeIE4OF/SQIwmCjgfwKYB8Ab8HYgbxt53cgrR1695VFYAlb9u5EFoOpNdPkOFrOUWFPWXrlFuq5WTAvAUPf/EQz2AGp0UnO3mUCIBFgAFgDzewC9+R78fOpz+PJ91QD8ESJOkZcrKQBT5eXbwPHQku9eOYjjqBwE8giAOfJF9EX6+2WCQGir1Rn5mmcAvC8ndb7SvsPCDFsBGASgrixAKdCE6vifSNhFrYsFYFHJKXyfyWjOvcHVNIUDQP5uCBaACk9Obp4JRIkAC8BLBSD9tSlntve89RTtgfNHuEbJGpc0UyAAJwn0AD4dtAfwcuMNXAKm1ykNDO3lozQwlCJmnHzTrfK//jQwJwAMBkDH/XwNYHIIaWAek/caUjTwWorTBED1Pyi3O10JwwS2yQJQaQsUrX2KXrpAJ4Ak6oxSDbz8WwCSxV/RJlQ83PXLL7/g/fffx5YtW3Dy5EnMmzcP//wnrRYVlPz8fAwdOhSTJk1CVlYWWrRogQkTJqBmzYI0S1TWr18vnQlMr7/xxht46ikK9OOiFAEWgAXkA4+E221diSM5uygwggIklCqSAKz8+ZvC9gAeeYYCc4NaAr7cmAsLQH8iaPICBiaCprx//kJBICQUW8vBHxRVTPsDg00ETd4+CiahqOLAMgDA07JXUCn7SO2yAFQUf5Ebb2pKNK9v6bn/4tmCLAALWLIALPKcivkblyxZgrVr16Jx48bo1KnT3wTg6NGjMXLkSEydOhXVqlWTBN6OHTuwe/dumEz0fQHUq1cPw4cPR/ny5fHEE09g5cqVqFSJ9pxzUYIAC8AC6oEC8GDuZpzw7l5os+fQUWRKFbUJQCU40DLxDQAOFGqc8jTuBFDwoaJgYQGoIPwwmn6sjLn8tAbOFiwAC0FkARjGrIqjW3U63SUCkLx/FSpUwMCBAzFoEG3ZAbKzs1G2bFlJEHbrRitqQHp6OlatWoUyZcqgdevWmDZtmiQKuShDIFQBSL2M9UCQU44DOOTacDjHllVFGatIrf4lAM3h6xyfw4kwPYBKoCDhR/v9JhZq/N/yvsC/lhaU6B17ABWiHn6zb1dKrP5Gbc9fkf7sASyAygIw/MkVDzUUFoCHDh1C9erVsXXrVjRs+Ffu11atWkl/jx1Lx4gCX3zxBZ577jl4PB5pKXjcOP/WoXigps4xhioCY10A5rjPYVPmXLfb46KlTaWOhJMEYKWJQ6EXJACP/lta0Q4mClgtE7W3nFj6SwDrZFu0lPf/vXgZYRj1frMHMOrIw28w1ZK6pKw9/Z4qOjq9JoL7/6jy0rTdMLjiKk/v+eBKMClgOAI4OJZ8VegECgvAdevWSXv+Tpw4IS3v+kvXrl1B13777bcXn7PZbHC5XChZMvj3Rug95DuCJcACsICUfxnY43PTkXD0FAUunA6Wo+DrWAAWAKWAj4EB+/38UcDfC+ZdpOpYABYJm7I3pVpSj1a1169YRne91BH2/hXYg71/ys5LLbUerADs0qULEhISMHMmHenJRY0EWABeKgDpr/9d+Mprc+a0UTDdSIEA/I9AD+CzmvMAqvHtckmfWACq3kR/66DOoDe4bvG1MaToyBvOAtBPiAWg9iazUj0u6hKwUv3ldq9MgAXg3wXgdttC38nsPylv3RcKzR0WgAqBD6VZFoCh0FLHtRUAHG+DB5GgKzhKkD2A7AFUx9TUTi+uFARCASAUCEIlJydHCvYIDALRzgjjp6ehCkAiE8w+QK2dBkLj8i8D78ldjcO5O94DQOfaKlFkAfiWuD2Az0pH/qp9D+AFOkgGwDkAmdfYg1lKCcMEtskCUGkLhN5+6xRjseXN3HdfPEiaBSALwNCnUfzdYbVaceBAQUaGRo0a4cMPP0SbNm1QqlQpVK5cGZQGZtSoUVJkb9WqVaU0MBkZGZekgYk/atoYcagiMBgBSCPXmgj0C8A/rdtw0rfzl2xrFp1EoUQpEIATBArA3poQgD0A0H4RSgFDSaavFoRDeQUVLSwAFcVfpMafKWeuOKG+sxmngCmEj5eAizSf4uYmSt9Cgq9w6dGjh+Tl8yeC/vzzz6VEzy1btsT48eNRq9Zfxy3GDSyNDZQFYIHB/ALwjPNP7HP+ctpqz6FAECVKvApAJVgXuU0WgEVGp9iNwyolVn/TnwJGa94/osYRwIrNHW6YCcQkARaAlwpAORWMS04Fo4TNCwTgeIEewD6a8AAGsvYCCDxL2P/adfL5whdX8ZQwELXJAlAp8kVs15ho/KqCu9rjNXT1pRq0JgCDEX80rlBTwLD3r4gTim9jAjFAgAXgpQLQ5XVgxWkp/sMCwKGAiQsE4GfDxO0BfG4oDUPtewADUfvkVDxnCvGnffwHAZgVsMslTbIAVNoCIbZfPKX4+nLWqs0q6eg0GRaAfnwsAEOcSHw5E4ghAiwALxWAtJ3hp1MT4Mv3VQdwSAFTx7MAfEHmTWcAvwHAGsCfvH63A6BTWv46yUEBA7EHUCHo4TRbzFLsSBX7DZU4B+ClFFkAhjOr+F4moG0CoQpAGm0wgSCRCgKh9lOPuIOGbjphC/pa/z5AORcgBYGsDfpmcRdKArDip+I8gMf6asYD+IeMMR3AMQC0FOwvLgB/AngTwK/icBetJvYAFo2bYneZjGZrfVez5BI62kbAHkC/IVgAKjYluWEmoAoCoYrAYAQgDSxSIjDSAnBL7jzf2dzjdIj1LAUMVCAAxwkUgM9rRgD6ca8E8JCcDkYBE1y7SRaA12akpisSdNB5bsU9MOuSY1YAhrr/j0CwAFTTNOW+MIHoE2ABWMDc7wHcaVuWfyx7Xz8An0TfGmABqAD0UJtkARgqMWWvp4iiE3fgQeh1CRwAEmALFoDKTkxunQkoTYAF4KUCUE4GPQrAqwrYpkAAfvK2sCCQYy/QqqmmgkCovxUBPACgMgBjITsMUMAulzTJAlBpC4TWfuMkg2nTbd72Ug5AjgAugMfiL7RJxFczgVgkwALwUgF4IHcjTnh2z7E7rJ0VsHdBEMhYcQLw6IuaE4B3AlggB+HUAbBTDv4g3fUbgDsUsAsLQKWhh9H+/SVN131/c14bKX8QC0AWgGHMJb6VCcQUARaAlwrAo7ZdOJa/bVt2TqYS0aYsAIGNAJYAoM2LuQBukvP//RfAjwAmKP0GZA+g0hYIrf2e5SwVJ9d3FJwCwgKQBWBo04evZgKxSyBUAUgkYjkQ5IzzD+zP+9+JXFvO9QpYvUAAfizQA9hPcx5AEn0N5Zx/dC5wSwC7ZCH4vewNVMA0fzXJAlBR/CE3/uL15iof1XXeItmNBSALwJBnEN/ABGKYQKgiMJYF4Pm8Y9hlXZ5lz7OWVMDkLACBU/Iy724A9HhFXhImTyCl5klRwC6XNMkCUGkLhNb+a5WM1UfUdjeKnPij/pQO/vPCVZ7e58GVYE4B4Qjg4FjyVUyACfydAAvAAiYUCZztOoPfshc48txOOg0k2qVAAH40XFgQyNH+lFNZU0Eg8wEsAjAJwAcAOgKYGpAapm20jVK4PRaASlsgtPZHVdLXeLl2fsPICUAFxR+hCFUAcgBIaBOIr2YCsUyABeBfAtDqycT6czO9Xp/XoIDNCwTghwIF4ADNCcBqspcvAwDlbRsD4FYA+wFQBPBhBexySZMsAJW2QAjtJyQkTKjorf5sTV0DFoAyNxaAIUwgvpQJxDgBFoB/CUCn14pVp8nhhEQAniibngVglIEXpTkWgEWhptA9lqSUOeXy0h+qpqvLApAFoEKzkJtlAuolEKoApJEEsw9Qa6eB0Lh8p05h+anP6b+0pycrylYrEIBjBHoAB2rOAxhl5KE3xwIwdGaK3VE8ufjKsrYqrSvrarIAZAGo2DzkhpmAmgmEKgKDEYA0Xq2JQN3p81h68jPqOiUhPhplmxUIwA8ECsBBmhCAF2iqADgnHwGXfxXupaJsk781xwJQaQuE0H7x5BJbK9iqN7xeV5UFIAvAEGYOX8oE4ocAC8ACW1MgyPLTE/M9XvcNAPZEeQbEqwDsAWAmgDwA9P+rlWlRtgkLQKWBh9N+sZTiB9OtdaqVM1QJupqEEiWCvjZS0b/UAY4ADt4MfCUTYAJFJ8AC8C8B+Mv5qV57npUCDygpcTRLgQB8f4S4KOCXXqf+FweQE82BxHJb7AEMzrp0luJDAOg4FweAdQBeBvC7fDspsj+uUFVXALPk18gVT9m/2wCwAqBfAFR34AZdyhr+NIA/AfQCsM9fb6o59WR1R4NyaQY6XjC4ogYBGIz4o9FwBHBwNuWrmAATuDIBFoB/CcD1WdO92fYLdwNYcY05kwpgOIAHAZQBsBXAiwA2yfeRVhgmfzeRV4Hy2PWWI1r9VTeXv9/o9fcBfFr5PXEC8MhgTQjA4POiqUDIsgAM7pOUjm0hty69GSik/l0A9QHUA2ADQEezpRWq6hkAgwGUk8UeXbMNBckhXwJQHsBXco6gIfK9LQB8JL+xmsl5g+jNK5VkU/KF2s6bS15noFuDKywAg+PEVzEBJhAbBFgA/iUA152fmZ+Td66DnI/uagb+Vv5OI1F3AsBjAPrL33HHZYcHOSuelM+2JbF4o/y6U66Ykh3TRr2TAL4GUC0OBaAPwNX2/QXaQDrSVcnCArBo9EnsnQHQCsAvV6iCfkHRgc9Pya/fC2AhgAoATsvPPQtgtCweXQDaA/gXgC4AGgMYB6Cpv35LUnJm3bxbSpQykKYMrrAADI4TX8UEmEBsEAhVANKogwkEiVQQCLWfesQdNHzTCfI5BFc27JmAnLyzJADpu+dKxSyfVUuJiilxsb9s+X975wEnVXX98d+03dnZXTqCgNIURMUCWFAUbNHYYtRoojGWqFETW9SosXdNM5ZYosZoNP6tYJdYsBewIqKA0nuH3Z1e/p8z8x48HjO77867r865n89+0N33bvnd+95855x7zlXOsiWoIyikPHaU0JgKuWLpc4yAkIwjVCiv3Tjls5E+F0dsfZtEC+ClnrAAEhOohTyDtyrJnz9SfklWUtobSDDNewCNLWPXXbWNYvqmb0DTyvRuJIBPAZBFj9zFVK4HcKRyNqB6y0Dl2xTBHgEj5Wt6AQBlCCcX8bG0fU69OFYfWzcstVsnBsCSIpwD0HXPBXeIFXCFAqIQaAQAaWBWQaBVAPjJt/dhXWo5gR19rlQq5P6lfXX0ubPh8wbA+8r2JNqK9AOAXRUvllrPO8r/k6uYChk7KOyYvGQPAvhNDQKgVmPSknR4Qif8CQDIQ0iw7GhhC6C4/EHlYaJ9DnS4c7lyjzK55CJWCyVk6g/gYM3v6Ige+jp3qPJNS/0T7cGgvE1kFdxQGsKx+A7Z3Ru6hnsZ7rVXLICi+/9IAAZAw8uAL2QFakoBBsDSdH/y3f1Yl1xG+/roWLL2Chkq6POG4IQse79QLFTfAzhV2fNH3ity76rlKcXdebzmd3TiRR2AHAWB1DgAxgHQub908oe2UJoY2g7mxBF9m3SEAVD8tUhBHOTOJfhbWOZ2MqfTQ0J7JMhkrpb2AJDqo32G7ZZouCExvLBXtEugR0eXFv/uFfijvjIAGppSvogVYAUMKMAAWBJp8nf/xNrkUvIkPduBbIMB/AvAvgq80fYlCkAk7xRtS6KgDz0AUnAjgd7Py9RdjALuTy7gaNTAjLV/ST6ZxDxvuIC1A6Eg0eeVWADt7/+k7O8faloYkxUwAIoJeLcycfSQVIr6PQnAQwD6Alihqd6IC1gqAAabmgyPrjCAumuspHoZ/+KS6mb8GMp4DzKuGi8J44ZQpLvTe8pYmXvWxcYu5KtYAVZgMwXu+M74GfcrM+R9NFY+X7OVsQtpX82q7oavTaw0/j6rW278fVa/ynAX0Hmu8fdTbCEZloyVKV/faxQA1QrJgkfwRkYMCgyhD5FzDbqAtZ0qAeCtN8kDwMuuoPq9lAaGPHsE3mRF/USxlu4BYFsAxwB4xdgsWncVA6AxbUknCsggUzr57fUmXW0tbytZwOlbl7aoQSAUwksBJFRoHwCFy5PLlxJHtluqcQH7GQIZADtaMfx3VsB+BRgAS5q7AQAnf32PURewfqHQ8XFk5KBMFg8oQSAUAKJ6tQjw6HNMGwTCALj540Y52yiyehgA4giKlL7PgZNZyr4IGACNvR9pTx/tjaDNtGrdxYUlAAAgAElEQVTuP7pznZIXUK2FgkPIbE7kr3fpqmlgKJpKTQ9DofK0SVRNA9Nub6oJAmEALEnKFkBjC52vYgXMKGAV/FGf2AJYmhkRC+Dkr/+BdckOg0CoWtqbTjxAn2/0OUaGCTJK0FYnClGmvLeXKRGsBIa0xWknXRqYzQHwFokWwMs9ZwE08yjZci8DoDGZK+X1oc2x/9ZUQfkByQVMwR6UD0hf6Pe0h5CsiBT8QWHg9FBpE0FX7FE1aWAYABkAjS1xvooVMK+AVQDoZ/gj1a1yAX8y9W4jaWCoC3RgwS0AyGJF59mS65KIi4wcVNRE0OS1ogBIihA+R3tQgW71lFzADIBFZlfOY6bgGG2Zav6JM1cDA6A5/Wy9u5pE0AyADIC2LlJurKYVYAAsTb8b3L+hxSvx4UpKBF3MA6jN72fHGi0B4M0SLYB/9JwFkPIFP6wEjZbTnBNB27ES/dJGNUfBMQAyAPpl/fM43K8AA6C7APCjNY8bPQpO9uIqAuCAm+QB4NwrPAeAjyvewAsAUGwAxRBQ6CJltL7IASjfbI7ZAih72VtYX6emzj/0b91uUO8wJRg3VtwAgNRTq6KBORDE2Drgq1gBOxRgAHQXAL678uFcPNW6F2WEsWP+NW0wAJYiqSlugLSnRNujFJc5HQhBcQCV8gjbNlUMgLZJbb6hzo1dvujTNniXvoGBCISMW4/dAIEMgObnn2tgBdyuAAOguwDwjaX3FbK5zA4AvrV57ZQA8EaJFsArPWcBJOijQJm5yjF5FEhK+RTpBLBvOBG0zSvS6811buw8qVfbgHFbB7ZlAFQmky2AXl/V3H+/KOAG+CMtOQdgaUUFF63AxMWUuhZbO5B2pASAN0gEwKs8B4BTFHfvROX0MDrdi84APk855pWSbzta2ALoqPxijcfqm57tnep/9KDAMAZABkCxxcNXswIWK+AGAGT42zjJhYWL8caS++kXlNOP4MPOwgAInAggomQKGamkhuumHLlH+RMp0bajhQHQUfnFGg+FQvf2yw0+a9vATgyADIBii4evZgUsVoABsCSwWyKAk7lWvL2UglCLEGIo1ZjEJVIEwIHXy7MAzrnacxZAvZyUDmY7APOVwyIkyl1dVQyA1enm1F23bhXc5tKhhV0YAC0GQKqej4Rzaplzu15UgAHQXQDYmlmDj1Y+kcvlc8bPr5O38EoAeN3N0o6Cm3NN8bwErxwFR9D9HYDDHdh/aXgWGQANS+WKC6/Yqm7wjUMzu1oGgDRKr50LzPsAXbE2uRM1rgADoLsAcF16OT5f93wilU4aP+xY3hqudQAkJRcBoIOx7Q7AMTyLDICGpXLFhef3bRhw+7DkqOK8cSRwaU4YAF2xNrkTNa4AA6C7AHBVaiG+aXl9bTzVSnsA7S4lALxWogXwWk9ZAElv6vAQAKc74II3NN8MgIZkcs1Fp/aO9Xtwx8SeQQbAjXPCAOia9ckdqVEF/Ax/NKV1y417Ud2yB3B5YjZmpd5b3NK2vq8Dy7IIgIOukQeAs6/zHACOB3AAgFYAXyvHv2qn4mgH5mWTJhkAnZ4BsfYP6xrt/vzI1H7FJIBsAWQLoNjy4atZAWsU8DMAehH+aJYXtE3DwvyXX65bv2ZXa2a93VoZAEvHwLVXTnVgXhgAnRbdRPsj6sPRKfvkDmcLoEZEtgCaWFF8KysgQQEGwJKIbrH+UV++Xz8Zi7PfPBtPtB4rYYpFqygB4NUSLYDXG7YAng2AftQjsyjp8vUAXlUGEQXwVwA/pykDQHn6zgGwTDNIyp14L4D9FAveI0oOP7ujqUV1F7qeLYBCcjl+8ZYAFu+PnyIYCLEFkCHQ8QXJHWAFSAEGQPcB4Lfr38G8lqm3KuBi90J1EgCPAJAjBlYGfTKASwCQJZRgkMDuMACUi28dAMqWnQewt3I9edi+BLBUuY8+dx8F8ICyr89uLS1rjwHQMmktqTgUQCC7Fw5BQ6Cx2AC7gUs6sxXQkvXGlbIChhRgAHQfAE5rm1hYuHbmBQDuNDSJci8qAeBVNyMUJYObuZJLJjH7BsMWwHKNrVZg7hkAKwDQsWz031QoNx9F6o4G8DGAHwN4CUAfjVXwLAC3AeipJHI2NyCX3M0A6JKJMNqNaF1D647pPRu7BLozAGpEYwA0uoL4OlZArgIi8Ectr8w0G+7A52u2MnwtnwJSkiq0eGXx38/WP5df0bKI3JxPGxZR3oUlALxSIgDeWBUAkjXvZwDIhUsWwN4A3ixzOso8AH8HcLviLj4SwC4aOej83tkARgD4Qp5MztbEAOis/sKtd4p1mj8gvsNWWwRKgV1sASxJyAAovJT4BlZAigIiAMjwt1HyznPJS2msxBbGjV2oAcD3Vj2Sa0uuHwvgA8M3y7vQKgDsB6BF080UAPrRl+EAPgJA5keKwiWL3yvKvxScQXv/tGUygEkALgXwTwD9ARysuYByKbYBOFSzl1CeWg7VxADokPDVNtu5qfNHvVsH7rlVYBsGQI2IDIDVrii+jxUwpwADYEk/NwWAFAoFvL7kHuQL+cGK5crcJIvfXQLAKyRaAG8qWgD15ToA15b5fR0ACuToAuAYJRcfwTBZ9coB4BTFMnhZBwBI7uHXDMhBJ4HQdeQ6nmXgekcuYQB0RPbqG62L1D3aJzPopG0COzIAMgBWv5D4TlZAkgIMgO4DwHQugbeWPkgdI8tVQtJUi1RTBMDBf5QHgD/cXARAoxZAfV/fAPADgCdtdAHTXsO9GABFlg1f25EC120VGXz10GwptZPXXMDU51Q340lV4z2KGW8MFbYCGpKJL2IFpCrAAOg+AFyfWYEpq59LZ7JpvatT6ty3U5lVAFjtWcBvAZgP4HwlCOQXAJ5V+k+ndcwoEwRC0b/LlWvOBPBnAFtUcDmXk4L2E5J7mqyKrixsAXTltLTbqTN7N/S7d8dk6TQQL0IgA6D3Fh33mBWopAADoPsAcHlyDmYm3l3WGl9PQQ9OFCcB8GZln94CABRxRPv/aG8f7el7XUkDQ3v5KA3MegB3KQKRtY6KmgZmMYA/KIEj/wFAJtWyfugKAlO9v1LS0Xxa5iSQ3zsxMdo2GQCdngHx9sc11XV6Y8/Mj4qngTAAbhSQLYDii4nvYAXMKOAG+KP+cwSwQi5KBPDc1i+wJDft3XWta2nfmxOlBICXS3QB32I4Cvgh5Qg2suBRnr+pSgoXgj8qaiJosgJqE0FT3j+1UBAI5Qscp4AbRRGTJU8kETQFlVQqBQD7OzExDIBOq26ufcpNtGg//BShQIkBveYGZguguQXAd7MCblHADQDI8LdxNagpYJQk0H9SLF9OLBcnAdCJ8XqyTbYAem/aAuFgOD0qv1+4KUDbIRgA1SlkC6D3FjP32NsKMACW5s9NEcDUn69aX8ovWTeH9q2RNcyJUgTAbS6TZwH8/lbDFkAnxuvJNhkAPThtzbHmBQPjO/bjXICbTp5VAEitzD3rYg+uFO4yK2CtAgyA7gRAJQcgnWP7nrUroGLtGwGwXsJJIKkkPAqAuymJqCklDaWm0ZajHZqbDc0yADo9A1W03xxrfrVXvP8hAwJ0go11FkCquzCglHDaSEn1oowDxgq7gY3pxFexAm5WgAHQfQCYzWfwxpL7qGMUALLMofXDAAjQKSx0hvBEAD8C8D8A2yrzMh7AqQ7NDQOg08KbbP/6rSKDr1JTwVgJgQyApZmSaQEc9+ZGa+LbB/zF5FLg21kBeQp8vYDSrG0sw7da2G7lDIDuA0AlBUxGSQFDwQZOlBIAXnozQrIsgLd5zgVMwSf3A/iHcnrJzgDmKL9bAuAaJyZG2yZbAJ2egera/+UWDVs+slNyb04Fo9PPKjewWQDUQp9+yhkCq3sI+C75CugBsD0Y9DP80bjrlhvPV+qmPYBLE7MwO/PxvPUtawfIXyGGa2QALB0dtwPZDwCsUiKKvwYwDADlJaQoZUcLA6Cj8lfd+O7RSMNHY7KHMQC6GADbgz5ttxkAq34O+EaJCrQHf+VA0M8A6FX4o3n6oWUKFmenv9QWX3+ExOUhWlURALf9gzwL4Kw/ec4CSHkIKd8gQR9ZA28B8ISScJqOiStFcTpYGAAdFN9E010BrB6LIxEJlPaVciqYkppOWwAHP3kTtuqxRnhqGQKFJeMbJCpgFP60Tb7Ruj2CgbyhXqzMUD5eY+XzNVsZu5Dz/23QSU3/Qr+Y3voW5q/7hs7HpXNynSolALxEIgD+2XMA+F8AlAD6bwCuAnAugOcBHATgcwAcBOLU6vR6u9G6hpYd0rs3dQ30ZADUTaYTEEjgpy0MgV5/wmqr/6IASPCnL+3BIANgSa3Oc3OGF1ZsYdzwtVoAnLL+6dyqlqUUgPCM4QrkX8gACHRTkk7TiSLkraNTRdSzgW8EIG4pkDxPbAGULKhd1XWKdXm/V3zrvfsH6BjDUmErYEkHuwBQD336uReFQLYC2vX0cDtaBUThj+4tB4DaOvUwyABoDwDmClm8ueR+5Av5QUrAgVOLvQiAQy6WZwGc+RfPWQCd0t5wuwyAhqVy3YXX9KsbeO12mZEMgLqpsRIAO4I+bVdEAZDuZQh03XPm+w6JAmBH8FcOBBkA7QHAdell+GzN86l0NtVAWbwcXLwlALxIIgD+1RMASOM2WugcYkcLA6Cj8ptq/PAu0W4TRqX25zOBbQLAUNeU8ISJQiADoLDEfIMJBUThz4j1T9+dlZmm4q+CgY55xM/7/0gDq13A89u+xqLsV1+ua12zq4llIePWWgVA2hTb0UIn7qJrNnx2yxC8mjoYAKtRzR33UAj54nH4CcKBSLFH7AIuTYwlFsCG0t6dUFTkLHBwQIg7nhXuRQUFRAFQxPqnNqkCoLYLlWDQzwBoNfyRvt+2vI0Frd/8KZ/PX+rwoi8B4O8lWgD/5gkL4FgB3d8RuNaSSxkALZHVnkqjkWjrDpk9GjkQZFO9pQKgAn5qC6IASPexFdCe54FbEVNAFP6odlEALAd/+l5qYZABsKRO9QEgz+RXtSyhAJCnxVaD9KuLADj0QnkAOON2TwCgdCGtrJAB0Ep1La67U6zLB73j/ffaOkCny3jPAkh9duWRcDro00+jKASKAiC1x65gix+eGq/eLfCntwoyAFYPgPlCjo6AK+QL+W0oQ47DS5wBsDQBXQD8Wkn+TG7f6QD+RXDs8PyUmMENneA+VK3AtVvVDbpmaGbEhgrYDVySQtgK2AH0MQRWvUb5RhcqIAqAopY/GrIR659Wmmnr+2z432x+Q477iurNXtXdsLKJlcbPKfdqEuh16eX4bM0ENwSA0LyUAPACiRbAv3vOAjhKOQc4AWCywlv0OwrQobOBKRego4UB0FH5TTd+RJdot/EcCLK5jkYAsKD5jMn0SQtNhqgVkCoXtQRaaQW8/Vt6/5TKhcPojHIublCgbUn/Yjcat5xnWXdE4Y86IgqAovBHbWgBUDv4SjDIAFhSSc0BuKBtGhZmv/xqXeuaXSxbPMYrLgHg+RIB8A7PAeB7AL4HcAYAdfM4nS/4IABK07OvcTmtuZIB0Bpd7ap1ywACi+lEEA4E2VTy9gBQC37qXaIAWHzxejQgRAt/DIF2Paodt6PCn3qlVRAoCoCi8Ef9FwXASvCnV02FQYa/jcqoAOiiABDqHAMgQJY/isb+TreOKYs6nRBi3Czd8eujqisYAKuSzT03NUYbV22b3KVbj0DpXGl2AZfmRg+A5aBPP4uiECgKgNSe01bAcvDHEOjs86wHP21vZEOgKPxRX0QBUBT+qA2jAKhqM3NF6QQkI6UW3L+kw0drHs+ti68+EsArRnSx+JoiAG53njwL4Hd3es4CuAzASQD0LpaDATwKoJfFc9Bh9QyAHUrk7gsaog2P9Ur3P3Gbwo4MgJqpyjYCaZGUnABEAZCaE4VAUQCkNmS5gtuDP4ZAZ57z9uDPChAUBUBR+KM+iwKgKPxRG7NXb9z/l821v1+wFgAwmWvFO0v/jQIKnQE4nmBYtQBud65EALzLcwB4J4CfArgYwIdK7r8xAP4M4FkAFzjz1tnYKgOg0zNgvv0TezT0enSX5D7Ft6BVFkCquzCgr+HepnoZt27LjAQm8FOLKADSfaIQKAqA1IYoBMoAQCPwxxBoeHlLudAo/KmNmbUGuhH+aGyiAKiFP/1ElIPBWgDAxfEZmJuePGd921raW+aGUrIA1jYA1imwdxYA2vtX/IgBcC+AyygJhtMTxQDo9AyYb79fAIEFtb4PUAt+WklFIVAUAKktt0OgCPxptTMTHDJrYSmic9t+dA66v0p+6RAEe880NShR+DMLgaLwR+2JWv9ELX/VwB/d0x4AaidFhcFaAEDa/7co/u3fstnsRaYWprybiwA47HfyLIDf3u05C6CqJllDBitRwBQUEpcns7maGADN6eeKu2PRxpVDkrt0r7V9gJWgzwwAFr+iCUYEVwOBolZAakPUElgt+JmFQBX+9A+Hl2GQoE9fqoXAauHPDASKAqAo/FHfRAFQ1PInAn+qVi3LSsfQGS1eTQHjsv1/JDcD4OaLjjTZH8AMOrTF6Jq08joGQCvVtanuaF3DY72ztbEPMN0URNJ4+q/iDIhaAauBQLdZAU+eTLlHgV2aF5hehaKWwEoAqHbEKyBYDvrMQqBZ+Ps8VTr2cZ8BZEgwVkThj2oVBUBR+KM2RAHQqOVPq0rLkuZNRQpWPqbVq/Dnwv1/GwHwtxItgP/wnAXwKQDvArhbyf33FYABiiWQTmuhfYCOFgZAR+WX1rgt+wCd2gNI0KctogBYDQR62Qqowp+qmZ0Q2BH86Ve822DQCPRpx2DUCmgW/KhNFf7U9o1CoCgAisIf9UcUAEXhj9oQBcDN4G8zet8UBr0KgC7c/7cRAM+RCID3eA4AlwKgiF8CvxMAXAdgZwAnAzhTSREjDQKqqYgBsBrV3HdP3wACC9V9gFYFgtgNgHrwMwOBtWIF1MOf3RAoCoDaOXUSBkXBTwQCrYA/bfvtgaAo/Pna+tfeeztYgFcBUNn/99dsNkvRpm4pJRdwbQMg5QGkvSPkhqG0L7QhmoI/tlaOhBPbn2DBzDIAWiCqE1U2RhtXbpPcuXvPQGnzvVchsD3oMwOAtWAFrAR/Wt3MWgPbcwebgT8nLINmoM8oAFoNf+1ZA+2AP89a/8q8pOtWhAwfjlq/yvhbvvPcnOGLYwuNxweoCaA/XPN4fn189eEAXjXckPUXFgFwe4kAON17FkCKFLsSwMsA5gAgt+9bihXwTQA9rJ+G9ltgAHR6BiS1Xx+pf7B3Yetfb5sjC7O3ALAQCqC1b2lvk0gRdQX7xQpIGmkDQoyAn0wIpLrKgaBMAFT7K9sqKAv69Ou0nCvYLvirBIGiAGiH65f6Kur+FXX9Uhsdun91E1iEP31p59PRLQDYllmDD1Y+kc/nc5T/r1Xk/WnxtSUAPFueC3j6vZ5zAZ8D4A5lXuhsxxEA8gDOBXA0gP0snoMOq2cA7FAiz1xwcGNd8yt7pn8UDAQCrrcAEvTpiygEigIgtScKgXbsBaR+iUYFqwAoCn+q5mYtgXoItAL+ZEOgVfBH/dQDoFn40+/3M/oWUt3BovBH9YsCoOi+P7fCH/WrLABqRde8rkTgj6qw0gI4p+VzLM5P+7ildd1oo2vEpusYAEtCj1Rcvq9rAP0wAGsBfGDTXFRshgHQ6RmQ1359OBRuHZkbF24OdHEtAJYDP1UCUQCk+/wCgaIASGPv37zG1OqRBYFWwh8NUJYV0EoAVCHQLPhRPdXCn7oYCAJFAVAU/qgtUQAUtfxRG6LWP1HLnyH40z1l9auNP3ZWwh/14ouWFwrL1s/7rZJc2HjHrL+yCIA7nCXPAvjNfZ6zAFqvsskWGABNCuim25tiTf/rleh/0EAMcxUAtgd9ev3sgEBRKyD1UdQSaEdaGLMASOOSAYGHN0+z9DGQBYDUSSshMFEwn9jfLPwVvxQVStspeodbDM+LKACKwh91RBQAReGP2hAFwA4tf2UUbFpY+mXGwGFHVgJgOpfApGUPoVAobAVA6ZXhKbf6whIA/kYiAN7PACh70hgAZSvqbH0nd49u8a9dU/sGHQ8CUVy8SYEj4VTpRCGwVq2APRvaipLFwmnTq84sCPaJrMGI6CLT/ShXgdsB8Mt0ckO3h0aqf6XKhD+1Q0YgUBT+qG5RABSFP2pDFABF4Y/aEAVAFf7067QSDFoJgIvj32FOevK8lrZ1lFvObYUB0G0zUqY/1b+tPDC4GuxizwACy8bg0EB9oMF+K2CZfX00B6IQKAqAxTZqLDm0Cn/qGncSAgn+9EUWDMqEP+qjLAugFvr0Y68GAq2AP6MQKAqAovBH/RAFQFH4ozZEAVAU/qiNSgCoXQNaGLQSAKe1vl5Y3DLzhnw+f40LP+s2AmBd1HT3cukkvmELoGkd9RUwAEqX1NkKOzV0+rZPYpvt+gUG2QeAFcBPVUIUAOk+UQgUBUBqQ9QVLOoGpjZEXcEd7QXUg592tTkFgeUAUNsvMzDoJgBsD/q04xUFQLPwp7p823vzVLIEisIftSEKgKLwR22IAqAo/FEbogBoBP70cxBbbk0KmMCiZZi0/MF8JpvejbaNOvupU7b1IgDueObNCEkCwGn/ZBew7HlmAJStqPP1/aFPdOtbt0/tHrDUDdwB9OllEIVAUQCk9kQhUBQAqQ1RCBQFQGqjEgS2B3+q3nZDYEfwp18HojDoBgA0Cn6iEGgW/IprXtnvZ+S1o4dAv8AfjV0UAEXhj9oQBcCmJdkN05Lv4H0pkv+PKl0z+3NMa/1fSzKVoPQvlc+3M7IwrLmmVgFwJwE5pwpca8mlDICWyOpopcNCwdA3++aPCITD9YY7EmzqOCl5oL5u4wut3xaG6y5+UPlkL6BTEGgE/uyGQFH40y4YoyDoFABWA336B6I9S6Dd8KftmwqCogAoavmjNkWtf6KWv2rgj+4RBUBR+CsCowYAtfqXg0ERAKQE0NPXvoOlmZkPp9PJ04RexPZdXALAMyRaAB/whAWQ8vwRkFdiK/Vv9G+Z5JP2TRC1xABor952tBaIRRuXDU4O79k73N9we5UAUAt9m7zEBAGwGgi0wwpI/RK1BIpaAakNUUug1gooAn/aOTJrDewoMMQMABqFQdkASO1W2gcoA/q046oEgE7Cn9q/aUkKHBUrogAoCn/UG1EAFLX8VQN/RZgTjLGtBH96xVUYFAHA4KLleH/1f/JtyfWHApgoNou2XV2rAGj8Qxeg5NCOFgZAR+W3pvFgMHht93zva3YJ72O4AT0AVgI/P0KgKACSBqIQKAqA1AZBYLXwp86TWQikesqBoCz40y9QvWXQagCUDX368egh0A3wR31cmu2MlVn6jDZWROGPahUFQFH4ozZEAVDU8mcl/GmVjy6hY2ONlbVzvsDU9a/FU+kkuX83+pmN3W7XVUUAHH66PAvg1w96wgJol75S2mEAlCKj6yrZJojgrH1wOOrCDYY7F+rezfC16oV5QUugX1zBogBIeolA4IAtSoeNdqs3/sFQafKsgECrAFA7huO3mSK8Ho3cQBZAq8FP7YcWAM3Cn8h+v0o6EPhpi1EIFAVAUfijPokCoCj8URuiAChq+SsCYwXXb6U5aVhUSueklkIw2O4ynj79SaxM/3BfKpM628h6d+iaEgD+WiIAPuRZANxeOQ1k4x6q0qS84NDcbGiWAdDpGbCo/ebGTjP7tm2z7VbhbdtvIbDpyybUrYtQj0QBkCoXhUA7XMFusgKq8KdOhNsg0A74o7FbBYCfz99aaI2bvbgtr3/vi9doBfypvegIAkXhj+oVBUBR+KM2RAFQFP6KMGeR61e7AvQA2B4M5vIZvPvFn5HNp/YAMFl8Jdl2BwMgMAjAeADDdfsC1aAd3gNo23KsvYZ+1zXQ465RoQM2H7kO+rQXiAIg3SsKgaIASG2IQqBoRDC1IQqBVlgB9fDnRghkADT+MlmVa0Q0kDF+Q5krrYQ/bXPlQNAO+KM+iAKgKPxRG6IAKAp/RWA0af1rb6GQZXDFDx9jZvz9dfFkS1eXRv+qQygC4E6nybMATv2X5yyALwKgPEBn0BIHsDsAylj7VwAXA3jP1ItBws1sAZQgokur6BlAcPneoUPREGgsdbEd8DMDgaIASG2JQqAoABbbcGFyaOpXJVdwJfjTzo3T1sDdOs3Z0J2eAkeNVfOMWGUBpL5YaQUk6NOXaiHQLvhT+6uHQFEAFLX8VQN/dI8oAIrCXxHmHLb+lXtmvvz6EazMzr/epcmftV0uAeCpEgHwYc8B4EoA+wOgdC/rFACcofyOIHDXat6LMu9hAJSppsvq6lzfZWqPVN/hgyIiqYkAtgKKTaSoJbAcABqBP7VXTkGgFv70ClkBg14CwHLQZxYC7YY/PQSKwh/dLwqAopY/t8JfERgttP5R/ZlsAu9M/SvyhRzt6/le7C1l+9UMgAAdkTRSsf79AOB0AJMADAbwNZ3iafus6BpkAHR6Bqxt/xdNwU7/3TN4KAIBsakWhUA7rIAklaglUNQKSG3Y6QoWAT/tUnECAtsDQG3fZMGgFwDQCPip2hi1AjoFfto5JEugKACKwl811j9Ryx+1IWr9E7X8VQN/dE97e//KfSwsnDkJ83Nfz2+NrxFJNWLtJ0zl2ksAeIpEC+C/PWcBJBcvWfomAPgvAHLb3wjgTAUMd3RqctR2xajA6d5y+6IKxMKBcMuIwthg54hY4mZRAKSO2QGBogBI/RKFQFEALH4775MWmhuyAlYLf2pDdkKgUfiTBYJWwh/10YwLWAT69IuiIwh0A/wV9WkbgFhQbE2LAqBfrH+ilr9q4I/u+XTaA1idWnwugLuFXjbOXFwEwJ1PlgeAXz3iOQA8GADtB3kOwDYAXgIwBACleDgewFvOTM3GVhkAnZ4Bi9uP1cee6Z7qc8x2EToyUqzYAYGiewFpBKIQKJNTdCsAACAASURBVAqA1IYoBIoCYDBSOiN04Ja0TaT6YhcEVgOAZmDQbQBoBvq0OrQHgG6CP22fjYCgKPxR/aIA6Bfrn6jlr/glds5MvLfmSRQK+V4Allf/xrDtTgbA8lJTrjVyDbvi+D4GQNueB8caGhMJ1L03pnAYwpGocCdEIZCtgB1LrMKfeqVZCKR6rARBs/CnV8SIi9gNACgL+vTjLweBboU/te8dQaAoAIrCH/VDFABFXb/Uhqj71w7rX3DBMsxo/RjL8f3EtnjrIR2/YVxxRQkAfyXRAvio5yyA2omgo3cI+gRDi6ydSwZAa/V1Q+2Bxmjjov7JYVv2CQxAIBwR6pMoAFLlohBYS1ZAPfx5AQJlA6ARy6DVAEh9qOQGtgr81HHrAdDt8NcRBIrCH1v/hF7BwPzFeG/d4/lEOv4jAG8K3u3U5UUA3OWkmxCqEzc86DudSyfx5X+uoF9TJvP1Tg1KsN0wgGsAnEffLZR7WwHcBeA62jkkWJ/0yxkApUvqygrP7Rnt/fedU2OCogBIoxGFQFEApDZEIVDUDVxsw+G0MJXgz80QaCX8tQeCdgOg1dCnfyuoEGgW/vQne1Tz9qH9fkaL3hLoF/ij8bvV+rck+T1mpT9eEU+29qbv10bnyuHrGACBewEcDeBqAB8p8zEawLVKYIjjJ7kwADr8lNjUfJdQMLRyVH6/UHOgS81aAZ2CwI7AT7sG3OQOtgv+9M/A77azZ2/063OG2fT4WdOM3fCnjkILgaIA6BfXbxEYLU77Qm2Q+/eL+CuFZa3z/wDgL9asJEtqLQHgLyVaAB8zbAG8XAGv7QDQWZofArgUAOXgUwuZJSlC9+cA6gFMBHAOgGWaa+jIIIK4/WjrOYBHAFDdRs9fptx/VP+rOoV/DOD/FGumJeIbrZQB0KhSHr+uIdr4RM/clj8fkt1FGABp6G60AlK/RC2BolZAasNMQIgI/KlLzC0QuEfX2aZPsajmsfEzALbkN7rDmoPJauQp3uMU/GkhUBT+6F5RABTd90dtiO79E7X8VQN/dI9o8AfBX0t2NT5e+2w+l89R8Ie5iLGqV1tVNzoJgK8pgEWHiZMb9mYAlHKFzuRVD14msDsMwClKkmaKrCbr6t7KaOmYti/pUQNwCYAtATwK4AEAxc2IBgoF64wF8K3uWvrm+S6AngbqsPQSBkBL5XVV5buGg+HP9s4fGogE6nwDgaIASDMiCoGiAEhtUFRwNfCnXTFOgiDBn750lMJE1mr3IwBqwU+rUzUQ6DT8qf3/cnVfdKpLGZ52UfijikUBUBT+ijAnuC1f1PJXLfzRfd8lPsCKzOyn2pJtlDbES6UIgLueKM8C+MXjhi2Aep0ItFQYI/CifYQrAJwA4BnlYrIWEqiRi/ZjAGSlo7QtfTRWwbMA3KaAm5EcSeT6pXpPBaA+KGRtfAjALGUfoKNzygDoqPz2Nt4Ua/5my/jA7fsHKBURhCFQ1ApIbYjuBxTdC0htiEKgKABSG6IQmK8voNC7eguPujKcgsByAKhdrVbCoF8AsBL0mQFAN8AfgZ+2GIVAUQAUhT/qkygAisJfERhtcv1m8im8s+axfDaXoRxen9v7aWG6tRIAniARAP9bNQBSDj4CruF0WI1yFBsF01Bi5rWakc4D8HcAtwO4HsCRAHbR/H2gcqrHCABfVFCIcv5py4EK/H2l/HJnWqZKMA/tD3S0MAA6Kr/tjR/fXNf5v7unDwzSySAcEGJcfxEAJPhTixchsCP4sxoE7QJAGofsfYBGoE+/6oxYAd0AftRvPfypY+kIAkXhj+oVBUBR+CvCnIutf3PjU7EwP+3b1vh6cl16rVgFgP1oaWjEIMtae2boIIAXAHQBMEa5jyx/Dyt7/7S6TlaOaqP9gv8EQCeuUDJntdDRbeRCPrTMvj71GqrXaCHLoKOFAdBR+W1vPBKNRFcNyYxo3iJAlm22AorMQEcQqAU/bb1eg0ARANSOU5ZV0GsAWA30aXXrCADdDn8dQaAd8Ed9EAVAUfgrAqNN1r98IY+PW5/Or0+s+SWAJ0TeUy65tgiAI34hzwL4+RNFC6C+UDoViqqtVGivH7lzCf5U3K8EgLRnkCyDl3UAgFQf7TP0fGEA9PwUCg/g4h7RXn/aOTkmwFZAYe0quoIrwZ9MELTDHVwt/OmVrBYG7YQ/6rMZC6BZ8DMCgV6Bv/YgUBQARS1/1cBfEeZcbP2j1C8z0x+uSSTjdIan0ahT8ReadXeUAPDnEgHw/4oAKGIBpMCOnwDYF8AczVD3V0DPChdwOUVpD+JQJRH0TGX/oXXKC9TMACgglk8uba4L163YMbtnfbdA6XxgUVewX/YC0thF9wOWswIagT917bjZGigL/szAoNsBUCb06XXSWwK9Bn/a8aguYVH4ozpEAVDU8udW+KN+UeRvoVDAlLbx+dXx5XTu7z0e/dyxCgCNJIImrqFkyz8FME7Z/6eVUQ0C+QWAZ5U/0MZ4ShOjDwKh6F/16L0zAfwZAH1wGol+onOAqR+/oqlV2qEzQCmamOY27vTcMgA6PQMOtB8Oh2/qEe59+Y6pPYvzLwqAdI9fIFAUAGnsWggUgT+3Q6BVAKiO24hV0I0AaCX0aR9/LQB6Gf7UMREEigKgKPxRW6IAKGr5KwKjTa5famt5ah6+iU+KpzLJHkoeOwc+JUw3WQTAkcfLswB+9qThIBCCZnLzkvVPm/uP8vJRXkAq5BqmvXyUBoZOFiFQo7KX8q+aBmYxAMrBSEm4/wPgQYE0MPcDoCCQ3wH4QKmXXNF3kvMBACeCNr3MuIJqFOgRCoaXjsyPDXUKkBXcHggUjQimfolGBYtGBBfbqPKEkGrgz60QaDX86RdpJRi0GwCpX+XcwHZBn14XgkCz8Cdyskell0elYA+Rl83KVvX0K+N3iQKgKPwVYc7Frl/q3+fxlwrLWxdSrrlbjSvnuitLAHicRAB8yjAAbozC21QWCrr4t/IrNRE0WQG1iaAp759aKAiEQJGsiBT8QYmgaX+gUZc85W08FsDbutmhxNJPcR5A163Z2ulQfX303h6FXmcNK2YYKBVRS2CtWgGzMSDbWOkdY3wNuckdbDcAalXSwqDTAOgU+JEe76zfDqOatFuVjK8l9Uq3wN+i1RR0WSr1dcY+L0Xhj+oWBUBR+CsCo43Wv9XpJfii9ZVMJpuhfWNksfJqcRIA3aIZuXhHlkkEvQMAijgmF7GjhV3AjsrvaONbBQOhuXsUDgg2BuhZFQdAukcUAr1uBST40xazIOgGCIyFN55JPrYH7VF2puwVo1RdzhSzVjczvSbw05ZqIdCN8KeOywgEigKgKPwVYc7l1r+pif8VViYW/iWdTZPb0ctlAwCGIxtPv6l2QNlMEp8ZtwBW24zs+yiieJWyB1BNCtugWBK7Ke5h2W0K1ccAKCSXvy5ujDY+2T3X+7gh2V03DIytgJXnWA9/6pVmIZDqcQoEtfCnH7ndMFhLAKiHPr32ohDoZvjTjq0SCIrCH9UpCoCi8FcERhutf+szK/HJugm5XD5LObrUwAOvfuiUAPBnN0IaAD59JWlhJAjELZrR8XOULoYImBJBk9uIEksTDFJ+wW+c7igDoNMz4Gz7Q0OB0LejCwcHooGSaUsUAOmeWrACVoI/r0NgewCojs0uEPQ7AHYEfdpXgQgAugH+tC7fjl5pegj0C/zRuKs571fV65vEW1iRXvhQMhU/vSMNPfB3BsDSJJHFj3I5kpmfeGs6gMfdEtzDAOiBJ8nKLjZGm1/tket9yLZZOqGmVEQhUBQAqQ0vuYI7gj+vQqAR+NOvPSth0EkApHFa4QYWgT691h1BoBvAj/osAn/qGLUQKAqAopY/alPU+idq+asG/ugeSvtCpSW7Gh+vfTafy+cGA5hr5TvfprqLADjqWHkWwE+f8ZwF0Capq2+GAbB67fxy59BQMDR9j/yBwViguSoApJvsgEDRiGDql2hUsDYi2Cj4aReCl9zB1QCgdqyyYdBPAGgG/FSN2wNAL8OfFgJF4Y/uFQVAUfgrAqONrl9qb2ridaxKL/pnKpX8jU8+WEoAeIxEAHzWEwBI5wcbLXREnaOFAdBR+d3ReENdw3+6BXr9clh61IYOiVoBq4FAN1sBq4E/mSBo9Z5As/CnX7kyYNDrACgD+vS6loNAP8CfOs70KvKQGS+i8FeEOZcHfqxJL8FnLa9ks7lMXx/s/VMns1YBMG9wNdN+QMo16GhhAHRUftc03jccDM8bockLSD0ThUC/WAELQaCNXsUmi5utgbIBUJWqWhB0Gv6o/9W4gK2APu2y0wOgn+AvN39jFoxco7HPTVEAFIW/IjDaaP2jUz++SLxcWJ1celM2m73K5CvHTbcXAXC3n8qzAE4Z7wkLoJvmoMO+MAB2KFFtXBCJ1P+tW7DHBcPTozesCVEAJKVEIdBtVkCCP7X4FQKtgj/9kyICg14CQKuhT6+jCoFugL9q9vvpx6MFP+3fOoJAUfjzgvWPTv2YFn8rkc6k6KQJOpHCL4UB0AMzyQDogUmyqYtdI+G6pTtm96jrHui1oUlRCBQFQGpIFAKt2guohT+/QqBd8CcKg14AQLvBT6thMGAu8biMkz2shD91rJUg0A74s9/6l8fktvGFNfEVFwK4w6b3vF3NlADwKIkWwAmesQDSvoYDALykiH2LctrIhmUOgKy9am5Au+Zks3YYAB2T3n0NBxG8rEt995t3Te0bCARKS0MUAOkeUQgUBUBqQyYElgM/7ez4yRLY2JTCgK6rHV185SyDbgBAEkXvBnYS+qg/qXy4OFcNoY3JukUnzyvw1x4EigKgHa7f4rwsohPCjBc16pfuWJSYge8zn6xOJOOU9y9lvBZPXFkEwN1/Ig8AJz/vGQCkQJ7DARyhzFSLkvNPPYeYUsL8CcDtTs8kA6DTM+Cu9mPRSHTptpldmnsF+m3omSgEigIgNWQHBJaLCO4I/twGgmaCQwj+9MVJGNSCoJsA0C3Qp5+raiDQa/BXDgJF4Y/qEAVA0X1/1cAf3aMCYL6Qw4ctT+Vbk+tOAfAfd30MSOlNLQPguwD+DuA5DQBSnrXZyv9TXsDfAhgtRWkTlTAAmhDPp7ee0am+y32jUvsHg4GNG+LcCIFmrYAi8KfOtZetgeUAUB2XkyDYFHGP8WOLevqybn9RLX3ttSwKgF6FP60G5BIWBUBR+CsCo42BH9Te3PhUzM9OXRBPtg4EkLN/xVneYgkAj7xB2kkgk18oxsh44SSQpYoLWD3pYwWA3TT5HYcAmKKMxfKJaK8BBkBH5Xdl4+FYtHF239Sgrfpj6IYOigIg3ShqCbTTClgN/HkZAtuDP/0qtBsGaxUAjUCffm6MQqAb4K9SsIfIWy8UF/+IEgVAUfij/ptx/abycXyw9sl8Ops6BMDrInp46NoiAO5xhDwA/ORFzwAguXrpyLcZFeaLXMBfKkfEOTql4k+Xo93lxm1SYN9IKDJpj9xBQfWIOGpXFAJFAZDaEIVAUStgNhZCorsm1LdKQb1mCRQBQK0kdsBgrQFgNeCnzklHAOgG8KO+yoC/hqUbP57ShBMGiij8UZWiACgKf9SGdu/f9MS7WJWZP7Et2UoA6NdSywA4C8BlAJ6tMLnHAbgZwDZOTz4DoNMz4NL2Y/VNz3Ut9PjpsIy/kkMTAFKpJQisFv70S9MqGHQTANKYrXADm4E+/TxUgkC/wp86fiMQKAqAovBHfREFQC38lZI+v5zN5rKDACxw6etfRrdKAHi4RAvgS56xAFJE94EARpaJ9KUI4U8BvAHgfBlCm6mDAdCMev6+d8tIKDJveG7PSDcfpIVRwU8/ZW4AQSsTRsuCPyutgn4FQJnQ1xEE+h3+jECgKPzZbf3LF/L4tO35wtrkiqvy+fxN/v74QBEA9zxMHgB+/LJnAJDyqJGLNw3gbgAzAVAeJ3L9/g4AhfbvCqB0ELSDhQHQQfE90PSFneu7/mVkar8NASGibmAao6grWNQNTG205wquBH+q/m6AQOqLFSBoBQDKhkE/AaCV0KfVXWsFrBX4aw8C3Q5/1Pd5iWmYl/liWTzZ1t+HaV/0H2e1DICkBQX33AvgINo9pYhDEEh7Ps/RRAQ7igEMgI7K7/rGI7H6xh/6pgdv1R8UuFQqXoLAjuDPzxBoNfzpV2+1LmI/AKBd4KeHQDfAn+z9fkbfilqXsCgA2u361QR+/BjA/4yO0cPXlQDw0OulRQF//MrVJIcXooC109ZNs9fvewDOJmHVLSgGQA8/YTZ13bMBIUbhz68QaDcAVmMZdBv80RiM7gF0AvpUjWes28L042/HyR5GOqkN9jByvfYagkBR+KP7RQFQdN8ftbFZ4Edu/v/a4q0Hi47Ro9cXAXD0j+UB4EevehIAXT19DICunh53dC5WH5vQtbDFT7wUECIKf36DwFz3jSdHNHeNO7aQOrIKeg0AnYQ+msR3FwzeZC57daoub6Ef4E8Vok7wBF1R+KN2RAFw88CPV7LZXIYmb75jD6O9DTMA2qt3Va0xAFYlW83d1CcSiszZPrdbXc8AnVpUKqKuYNG9gNSG6H7AQjCItv6NpifIDfsCzewJ1AKgKoaTIEh9KAeDbgRA6qvWCug26NMu7moA0E/w17ikdEZyptH4R5koAIrCn9b6lytkMaV1QmF9avWV+XyeUn/USikB4CESLYCvsQVQ9uIx/tTIbpnr85oCp8YijQ/uljkgGAnUVQWAdJMoBIoAIMGfWvwCgTQeURAsB3/6xeYWGHQzADoJfnpLX3svCxEI9CP8qdoYgUBR+KO6RQFQa/37PjEZS7IzZ7UlWrenR9lrL30T/WUANCGeXbcyANqltPfbCcSiTe92y20xZrvsiA2jcYsVUAt/tQyBRuDPTTDYp/M6Vz4ZA5tWOdIvEfATtQS6Af7M7PdTx6ta/SpNUCUQtAP+tNa/tZllmLLuxXwun90JgHosmCPryoFGiwC418HyLIAfTmQLoOx5ZACUrai/6+sbCUVma13BogBYjRWQ7mnPElgO/moVAqsBQO2StdMy6Fb4Iz3sBMBqoc8oALoB/IqWNM3JHtW+JjuCv/asgaIAKGr508IfuX4nt44vtKTW1ELOv3LTWQLAg66TFgX84evXUDteiwKudqnbch8DoC0y+6qRUxoisYd2zxzoCldwe/BXaxBoFv7sBsFaBkAZ0Kd/q5RzBdci/JWDQFH4KwLrojahF7fW9TsrMRlLa9P1q2rGACi0epy5mAHQGd293GqgMdr4dtd8r323yzjnCjYCfnqR3bAv0MozhGUCoB0wWGsAaAX0tWcFrGX400OgKACKwp/W+lfjrt9NAfBAiRbAN9gCKBscGABlK1ob9fWNhOtmb58dtSEq2A5XsOoGrgb+/G4NtAr+9MtZpovYzQBI45blBrYa/MpBIMPfRlXq1+eE38qiAKha/0qu3wn5ltTqq2vguLf2dC1aAPcmAAxHhfXX35DNJvEBA6BpHfUVMABKl7RmKjy5IRL7lxlXsGhEMCmb27q3aYHdYAmkQciyBtoFf7Jh0M8AaCf0bf5hGTL9jJg93cPO/X7tDTa6diP8FTYmCWhXH1H401r/ZiU+wdLsrJltidYdaizqV68pA6Dpp9D6ChgArdfYry2QK/itzvke44alRyEQCAjnBSRhhCCwqZTfL9et2bSmfoLAXLSA7BYbEz+bFkewgmqtgn4DQCehj6Ysvq6hOHN1jXQGfXXFLPhRq26EP1UNIxAoCoCq9W9VehG+aHk1l81ld67BqN/yAHjAtfIsgG9eS21wEEh1j3bZuxgAJYpZg1X1qI9EfxiYHdapH0onFIi6gg0DoAJ/Wo3NgqAfIJDgT1ucBEHqh1EYdDv80ViMuIDdAn36d081EOh3+DMCgaLwR3USAKbyCXyy/tl8PN16DoD7a/CzoCwAjtlfHgC+/xYDoOx1xQAoW9Haq2/fcDA8aWR+XLA50EUYAEmudiGwDPjJhECqyw0gWK07WA+AXoFBrwOgk+CnWvrae9WIAmCtwF97EFgt/BUKBUxNTCysy654NZ5sOxzApt/Kau8zgUZcdAEzALp78hkA3T0/nuhdOBi+JhZuunpEemwwHIjIg8AO4E8Vx6wl0C0QWOxHX+NT3h786Wtxm2XQCwCotwI6CX3UFyPgp513oxDoF/jT7vcz8hTp3cGiAKi6fuckvsT89NSViVR8G4IeI23XwDUlANxPogVwElsAZa8bBkDZitZmfaHGaOPHXfNbjBqaHlHVfsDNrIAG4a+WIVAEAN1iGVRdxF4BwAVrujj6RItCnygAugH+jCZ3bm8iROFPWxeBoCj80f0EgGsyS/HZ+pfy2Vx2DwCfOrpY3NV4EQD3GXeNtD2A7719HY2Q9wBKnGcGQIli1nhVW9ZH6mcNyuzY2Dcw0JwVUBD+ahECq4U/t4CgV5xksS4J2x9rM9Cn72wlK6AbwI/66jT8qXpFl4gnfU7nk5jc8lw+nmm9OJ/P3277QnF3gwyA7p6fYu8YAD0wSR7q4kHhYOS1Ufn9gk2BTsIQGAgGEOzXx/RwzbqE3bAnkESo5A6WAX96kW13EXtkl5RdACgT+jqCQIa/TRWqX5ksfRhmjOcLDMxfiq8Tb2BdbtmktkTrAbzvb7PXdgkA95VoAXyXLYCmPxx1FTAAyla0xuurC9f9KRZqunjX1L6BcKSUlsJoIQCk4gYILAJY/1LaGTMl0d1g8rEKjZSDQCsAUNu85TDoEfgjTawGQCvBT51TrRWQ4a88/Km/NQKB5PqdG5+KOekv1qbSCUp/sNrMO8Kn9xYBcN99rpbmAn73vetJKnYBS1wwDIASxeSqigqEGxsaP21KdN15R+yBYKSuQ1lU8NNeyBC4qWwqCFoNf/rJsgQGaxwA7YA+/TwSBDL8bVRFtfqVezm1B4EEf0q+P9r3tw+ADzt8wdXmBQyAHph3BkAPTJIHu9gzWtcwo296UNeBgWHtuoLLwZ86XobAzSHQbgBUeyAVBD0EgLKsgE5An3b1hFZFTL9GzCZ4dst+v/bgryNLYHLuLExePz6fzCR+A+BB06L6t4ISAI6RaAF8ny2AspcLA6BsRbk+VYGdw6Hwp9vndg/3ivQvq0p78McQuLlkGcUjnejtLEGZhkFnuy/8hFbrBnYa+sJLN7W+FyLVCW8W/EhwL8GfdoForYH5eQvwybrnkQm2PZBMJc8UXki1dQMDoAfmmwHQA5Pk4S4eEw5EnhlVGIfmSI9NhmEE/rQ3mLUGmg0Mob44vSdQBUCtLp6Eweo4xLHHQBQAnQQ/PfRpRasGAGsZ/rTWwGKy52/+g9bgyiltiZa9avycXyPPYgkA975K3h7AD26gdnkPoBH1DV7DAGhQKL6sOgXqwnU3hHJ1V+4e+hHqAvXFSkThz2/WwGoCQ8rBn35GnIRBw1ZBj8EfaWwEAJ2EPupje+BXLQQy/G1UbvbU57E4N2NtItXKQR/GPgqKADh2L3kA+M6HDIDGpDd+FQOgca34yuoUCDbVN78eSUX3H1l3AIIBc1GxZi2BNASvWQONwJ9nrII+AkCvQJ/+sTViCfQL/BnZ79fRa23pqmn49ocJ+Ww+PRzA9I6u578XFWAA9MBCYAD0wCT5oIuNsWjjtC0KWw0YghGmh1NrECgKgK6GQY8DoFehT8QKaBb+vLrfr9yLaX3bEnz+7UP5TDb9EwAvmX551U4FJQAcfaU0F/A7H91I6rELWOIaYgCUKCZX1a4C/esi9dMHY3hsq+AQ01LVCgSagT+9yE66iKkvRTexBwGwqKODb0qj7l2Rh6qcFdAs+FH7foK/ZGodPp/xUD6Vbr0ym83eIqIvX1uyAI7bQx4Avv0JA6DsdeXga032ULg+DyiwRzgUeX/7wO7h3qHykcGiYzALgm53B8sEQDdYBp1KYyO6rvTXFzplzVYhfL8V4Kd2Qg+ADH+bTk8mm8CXMx8uJNNrH00mk6fySR/Cy5cBUFgy+29gALRf81pv8ceRSOT5nbBPpHuwtxQtzEIgdcINIKgPDrEK/pwEQQbA9pe8ldC3GdQqaWEY/jZVJpfPYOr3jxXiyWUT4/H4ERzxW9VrugSAu18hzQX89uSbqCPsAq5qOsrfxAAoUUyuyrACv2poaHhw5+zYSKdgN8M3tXehXyCQxqiCoB0AaCcMehX+SCMrLYB2Qp/+GYquMv/4+cntmy/kMH3O01jXOvfTeDy+Lz2O5hWqyRpKALibRACcwgAoeyUxAMpWlOszpEAwGLykU6dON+wY36c+Fmg2dE9HF/kJAtdvbS5auiOtOvq7FfsFGQA3qu4k9FEvGheX+pIrZWaqupiFv+jaXNVtqzfKiPQtQn6hgH7D5mSeeuqpefF4fHcAa0x3rnYrYAD0wNwzAHpgkvzaxfr6+r/36NHjN9us2D1aH2iQMkw/QGBed2pX65b+gEEvA2ARECTsA3QS/FTo0z9o1UCgWfCjPrgJ/qg/o/ZL5G6//faVyWRyJIBFUl5ItVtJEQD3G/VHaS7gSZ/eTGqyC1jimmIAlCgmVyWsQLChoeGJgQMHHtn7+x2i4YD580qpB16HQD0AalV1EgbNWgVrFQCdhD6tta/S0ykKgH6Ev8N/0blwySWXtKbTabL8fSf8JuMb9AqUAHDk5fIA8LNiILZRACT3/SUACOa3BPBTABM0nST2uQ7AGQC6APgAwNkAZmmuof1JdwGgfaB5AM8COB9Aq1+mmwHQLzPp3XFEGhoaJo4YMWKv119/vf6orqdLG4kbQFD0+Lj24M8tIEj9qAYGawkA3Q591VoB/Qh/p563DU4++eRUJpMZC+ATaS+g2q7IaQD8MYC9AXyugJseAC8FcDmAUwDMBkDHjFCi7+0BJJWpe1WBx98AIOvEwwCmADjBL1PLAOiXmfT2OJpisdg7o0eP3uGll16q/0mXX0sbjRsgkAZjFASNf9wq5wAAIABJREFUAqAXYdDvAOg16NOuISNWQD/C35kXDcMJJ5yQzmQyRwKYKO3FwxWVAHDE5QiHoqbVyOaSmPS5kAVQ2yZlH9UCIHEP7YL9K4C/KBeSZXGZAoT/B2CYcurLbgA+Va45BMArAPop95sel9MVMAA6PQPcvqpAp1gs9u6YMWO2e+GFF+qP7HyaNGW8AoHVwJ9eJCddxO1ZBr0OfzS2SnsAnQS/Svv6qnl42oNAs/Dntv1+//voKowfPx7HH398JpPJEBy8XI1mfE9FBawCQIKvFk2rKQD0017RA+AgAD8A2BXAl5ob31H+n9y89AFEgNhV8/ewYh38GYDxfph7BkA/zKJ/xtA5Fou9N3bs2CETJkyoP6IT5V+VU9wOgTLgz00wqHcR+w0AnYQ+mmeZ4KddN3oINAt+VLcb4e+FF17AscceS/B3LIAX5LxluBaNAkUA3H/Xy6RZAN/64tZyAtM+vmsFAXAvZc9fHwBLNPc+pST8Ph7AHwGcDGCoru7lAK4BcK8fZpsB0A+z6K8xdI3FYu+PHTt28Pjx42vGEmgFAKrLwg1WQT8AYCjubDS2VdBXCQBrAP5+DuA5f70+XTOaEgDuQgBoMtcQZeLOpfDWl0UAlGEBrASAT1NmJAC0LioB4AoAVwG4zzVKm+gIA6AJ8fhWyxQgCCR38LbPP/98fTQaxcHRE6U15gZroHZPoJXw5xaroJ1jlLZQylSU0jqErGxIqdsO6NMPg6yAfoU/jduXrDy+cOPZsAyracIqADQaBaztM7uAK8wgA2A1S5vvsUOBLrFY7O3Ro0dv9+KLL9Y3NDT4DgJJRAJBp+DITsugU2OUvVDtAEAnoE+rU3Q1fV6aK250+z799NM48cQTKeCD3L4vmhsh392BAiUA3PlSeRbAr26jJmUAoBoEQgEgtM+PCvWX3LsUFawNAhkF4DPlmh8BeI2DQHjtswL2KECBIZNGjhy5w8svv1zf3NzsOwhM9ShFyKW7hOxRtEIrVsKgX+CPpLMSAJ0Gv7Dm0LNwonoINAt/sk72oPmiYA8qjz32GE477TSCPwr4oEhOLtYqUALA4RIB8GshAGwCsI0yxC8A/B7AJACrAcwHQGlgLlP2+c1R0sDsVCYNTC8AZ2nSwFBEMKeBsXbtcO2swAYFmmOx2CuDBw8e9eabb0Z79uzpKwhUAVA7307CoBUgyABY+Wl2E/Rpe1kNAJoFP2rfCvj761//mr/88svVVC+v87vVFgWcBsBxCvDpB/uIYuVTE0GfqSSCfh/AOQBmam6gRNB36xJBn8eJoG1ZP9wIK7BBAXIBP9GzZ88fv/3229GBAwf6AgLLwZ9bQJD6IQsGGQA3fZLdCn36940IBLoR/vL5PP7whz9k77777rZUKnWgJp8bv1qtV6AIgAfs+AdpLuA3p/2Jel2NC9j60Xq0Bd4D6NGJq8FuB+vr6+9uamo67c0336zfeeedixK4KTgk163Z8LR0BH/6ipy0CpqFQT8BIGlRrRvYSfDTuncNL1IARiDQjfCXyWRwyimnZMaPH78ykUjQCR/aI75EJOBrq1OgBIA7XCIPAL/5MwNgdXNR8S4GQMmCcnWWKhAIh8NX1NXVXf3KK69Exo6l97q7IJD6YwQERQHQy5bBWgZAJ6GP1ky14Keut44A0I3w19bWhqOOOir1wQcfzE0kEvvpcr1Z+oLiyjcowADogcXAAOiBSXK4i3Re4tEAtqMjYAF8qGygnaH0i/ZJUDJOipDaCsBK5dBt2n29TtP3crvKf6FEXKmXUYJNOpx7rpKJXbsfQyvDr+vq6u594oknIkcfTV3zFgSagT83WQaNuohrDQC9Dn36NVYJAs3Cn8z9ftRnCvhYtWoVDjjggOSsWbO+jMfjdHSX9h2kDm1fAJcAGKmc9ao/J5YSC1MuOHqfpZUo0Ct05wTTO6q/Tit6V2qzFdO77Eol8IACCWrpnOESAG5/sTwL4PTiqW3sApYIBAyAEsX0aVUU9k5h8XQINh2FczOAHZVoqTblvwkA/62cnUgvRUqSORUApVtQCwEgHe1B9allrebgbTq4+3YAZwPYE8BPFKisJOuRkUjk6TvuuCNy9tlnF9exm9zB1J9KlkCZAKiK41YXsd/gj/Qu5wL2G/RpHzo9AJoFP6pbJvypkb7z58/HuHHjkkuXLn09kUgcp3m36N8hPwZA75vPATyrOyeWrqUoT0oJMhtAA4ALAdDxXxRVSomAqRAAPgTgAU3ldEQZvROpbA3gTQC/AtAXwPXKO9OnHxObDasEgMMukgeA3xYztjAASlxBDIASxayRqnoqL0fyv75bYcz0snyMTqyiJO7KNfpknPpbDwdwuvKiHQHgLgC7d6DpmLq6utd++9vf1v/5z38Oh0Ih10OgFfCn18hNMOh3AHQS/My6d0XeVyoEuhX+PvroIxx22GGpeDz+aCqVoi+RdKKDkdLRe4nqKMIMAAokIahTAfDvAOinXKEvyQ8DoGjULQC8BWCgkQ755BoGQA9MJAOgBybJZV2kb8G0oXo4gGkV+kYgdwsAgkW10It2MX35V75Zk5WQXpCqaziinMlJL9lWxXqovmzbk2DbhoaG/40ePXrLZ599tr5Lly5SIZAaNntyiNYSaAcAasVyGgbXb+3s8WlWPDt2gle5/jvRPgGgW+HvkUcewRlnnJHJ5XIX5/N5+uIoksSwIwCsA0CpP8iVS+8+2uKiAiAl8aT3FuWV+6/iwVC/8NI1ZCGk82TJjUzu4MetWI8urbMEgEMlWgBnsAVQ9lwzAMpW1N/10ac5HZzeBcCYCkPtoeyZIQsg7ZtRC+0JpG/BccW1S27jPwC4U1cPfVsm1zC9NI2Wzg0NDc9uscUWe0+cODE6dGjp/G43uYQJAu2GP714TsBgqrP/AJB0zREW2FicgD7t8JqWaLmmuoHLdvtms1lccskl2XvuuSeVTqePAvBGFT2rBIDkkaCtLzEliITqp20waqHEwuRCpsTCdLYsfeGlL7T0e23prrzzNGm2q+il925hAPTAnDEAemCSXNTFewHQ/hmCv4Vl+kUPPSVapZfikQAy7fSd9sTQnkDaaC2jhCKRyG2RSOTc5557ru7ggw92FQTGh2iNoTKGW30ddoIgA2D18+Q09MkCQJngR32iPX9r167F0Ucfnfr4448XJxIJCkD7vkqlKwEgbV/ZEgB9oSXr3f4A9lC2v5Rr6jQA9wOgEyhSVfbFT7cVAfDAIb+XtgfwjZl/I314D6DEVcIAKFFMn1dFGdEpMIMi6OjoHH2hJHgTlW+79O052YEehwF4Sdlk3dG1ItL+MhKJPHTLLbdEfv/73wcCgYArLIGvfl/MYVUsYw8tJjR1RbEaBhkAxabZTdBHPf/snxT/oKzbIzauYaOjkgl/arDHjBkzcPDBBydXrFjxfjwePwbAeqP9KXNdRy5g9Rba9vIvxdJXrrkdlC0xlC1BzZBgoluev7UEgNteKA8AZ1GMIAOgzJXBAChTTX/WRWuE9tVQqgTa0FwuoSo97AR/9M33UAUCO1KD3MMXAaA0MrLL7tFo9JVjjjmm04MPPhiJRqOOQqAW/rQDdRMIUr9kw6Bf4Y+0ku0CdhP4aaFvk/UqCIBWwN9rr72GY445JpPNZv+eTqcp7YrRYI9K7xijAPgDgP8AoBQx5cqJAB5VLIZrZL/QPFgfA6AHJo0B0AOT5HAX71HSIpD1T/vNlqLiaF8LWf7I7Ut7ZQgS1TQI1G1KmUAv6COUSLiPFUg8CAAldaIfyv1nRekTi8VeHTx48JAJEyZEBw0aJBUCqcNGg0MqAaDfYZABsP1l7QXo049grEEIlA1/uVwON910U/7GG2/MZjIZ2jpCQRfVFnLTUkAHlS+UfXuTlK0rq5S9y7TXeYkCdL9V3oGUN/AbAKMVdzDdQ6lf6P/JPPWqEvRRbb/8dF8JAAdfIM8C+EMx4JpdwBJXCQOgRDF9WlWliDp6CVPuv0qHbpMclPaA8mVRQlbaJE0vXVpztF+H9hNSDq28hbrV19fX3x4KhX79yCOP1B17bCktoZ3BIUbgb7MPWZ+4iP0MgDRn1VgB3QR9NIZK1r5Kz6QRAJQNf0uWLMFxxx2X/Oyzz5YnEgn6IvqlyXdGpXfWIwAoYTPBJe33o/1/BIQU/HGjJgiE0lTRF2Ny91JWA9oSQ9ZB2qTG+/9Kk1MCwEHnywPA2XcwAJpc+PrbGQAlC8rVuVKBo+vq6v5zyimnRChxtF0u4Wrgz08wyABYmk2vQ99ma7IdK6Bs+Hv99dcJ/lKpVOqFRCLxa8Xi5sqXDHdqEwUYAD2wIBgAPTBJ3EUpCgyIxWITtt5666HkEqZUMVZbAmUAoDpyL+4XrHUAdBP4iVr6Onri9JZA2eBHKV6uvPLK3N/+9rdcJpMhqxx5G0Ty+3U0BP67tQooAHgewkEykpor2XwKb8wuZgxjF7A5KTe5mwFQophclesViEQikVuDweC5DzzwQOSkk06yDAJlwp+brYLUt0rBI7UIgH6GPu061AKgbPhbsGABpXhJfvPNN4sSiQSlk5ru+jcLd1CvQAkAB54rDwDnUCwiA6DMpcYAKFNNrssrChxaV1f3f8cdd1z9fffdV3d09zOl9VsNDLESADf5IHbpfkG/wx/NgboH0E3QR/2Sbe2r9HAQBMqGvxdffBEnnHBCOpvNPpFMJs8xmFFA2vPLFUlTgAFQmpTWVcQAaJ22XLO7FegXi8We7dat206PP/54dN9995VmDZyYdObEJze5iVv60wlZ/i0Bs8lHJEtjF/Rpu/2j0TdIG8XTr52H8847L/PEE0+Qy5f2+pmJ8pXWL66oagVKANj/d/IsgPMoFS1bAKuekTI3MgDKVJPr8poCoWAweH4wGLzlN7/5TfC2224Ly7AGOgWAqvhuAMF3XqFT/vxbRp5ZTErraHEC+vQDlgGBF127O0466aRkPB6f3NbWdpJytq6j2nLjphUoAeDW58gDwPkUeM0AaHpmNBUwAMpUk+vyqgJDYrHYE926ddv+v//9b/TGg+6rehxOw5++407BoN8BkHR2AgLdAH3aNWYGAMnqd8EFF2Qef/xxsvqdr6SF4kCPqt8+rrqRAdBV01G+MwyAHpgk7qItCpA18IJgMHjz2WefHZx+/7JwKBAWatht8OckDDIACi2dDi92G/iZhcCLr9sDv/zlL1Maq9+8DkXgC7ykQAkAtzpbngVwAaWOZQugzEXAAChTTa7LDwoMJWtg9+7dh/VeOjTaNbiF4TG5HQC1A7HSMlgL8GeHBdDN0Kd/KIxaArPZJAYMX5J57LHHyOp3AYB/cnoXw68YL11YAsC+Z8kDwEVFzwyngZG4ChgAJYrJVflGAbIGXhgMBm86/fTTgzP+tTIcCdS1OzgvwZ/VIMgAWP1z4CXoE7ECFgoFrFjzHZasfTPZ2tr6aTwep71+dEoQF38qwADogXllAPTAJHEXHVNgSGNj44PhcHj3fm3D6vsEByIQKP/IeBUArYBBBkCx9epV6DNqBYwnV+GHRRMLa9bPaU2lUhcC+Bdb/cTWiAevLgFgn9/IswAuvp8tgJIXAgOgZEG5Ot8pQM/IMdFo9N5mdO0+OLdLoFOw6yaD9AP86WfNjIu4VgCQNDMTCOIX8FPXjt4NnMulMW/p+5i7+IN8OBx8KJVKXQZgte/eEDygcgowAHpgXTAAemCSuIuuUKCxrq7u6lw2f/FWkW2CAws7QnUL+xEAzVgGGQArr1e/QV85K6Dq7v1h0cR8vpD8Oh6PU16/z1zxFHMn7FKgBIBbkgWw/e0zRjqUzafxxhK2ABrRSuQaBkARtfhaVgAY2tjQ+EguW9htcGGn4NTUBwgGgzWhi1GrIAPgpsvB79CnHe3eu1yA2YsnFlavm5tMp5O/U87wzdfEA8KD1CpQAsDeZ8oDwKUUL8RBIDKXGQOgTDW5rlpRgJ6bn0aj0fuGDRvWfOedd0bHjBlTK2MvjrMSDNYS/JEOlVzAtQR9pMPq1atx88035+68885CMBj8VyqVupzdvTX1StAPlgHQA9PPAOiBSeIuulaBxnA4fEkgELh0v/32w1/+8pfo8OHDXdtZqzqmhcFaB8BaA794PI477rijcOONN2YCgcDHbW1tlNrlC6vWGtfrGQVKALjF6fIsgMsfZAug5OlnAJQsKFdXkwr0jEQiVxcKhbN+9rOf5W+++ea6AQMG1KQQPOjaUCCTyeDhhx/GH//4x2Qymfy+ra2NTvJ4qzZGz6M0oEAJAHv+Wh4ArniIAdCA8CKXMACKqMXXsgLtKzCgoaHh1kwmc8zZZ5+Nq666KtyzZ0/WjBXwjQIU4PHMM8/g4osvTqxcuXJlPB7/PYBnOa2Lb6ZY1kAYAGUpaWE9DIAWistV16wCOzU0NPytUCjse+mll4YuuuiiYHNzc82KwQP3vgIEfm+99RYuvPDCxKxZsxLJZJL2+D0MIOP90fEILFCgBIA9TpNnAVxJ6SM5CETmXDEAylST62IFNlVgn8bGxjsA7HDhhReGzz///GCPHj1YI1bAMwrk83m8/PLLuPbaaxPTpk0rZLPZG/P5PK3puGcGwR11QoESAHY7VR4ArqbvGwyAMieTAVCmmlwXK7C5AvSMjYvFYtdns9k9zzrrrMAll1wS6tevH2vFCrhWgWw2iyeffLIIfgsWLEilUqlbANBhrOtd22numJsUYAB002xU6AsDoAcmibvoGwVGxWKxa9Pp9CEnnHBC/oorrogMGTLEN4PjgXhfgWQyWQzuuOGGGxJr165dm0gkrldy+SW9PzoegY0KFAHwgK4nS7MAvrnmEbYASp5ABkDJgnJ1rIABBbaLRqNXZjKZ4w8//PDc1VdfXT9ixAgDt/ElrIA1Cqxfvx733HNP4bbbbkun0+mF8Xj8agBPAcha0yLX6nMFSgDY5VcIByScBFJI4821jzIASl40DICSBeXqWAEBBbaORCJ/KBQKZ+y22265iy++uOHII49EOBwWqIIvZQWqV2DWrFm46667cg8++GA+GAx+09bWRuD3MgA+vaN6WflOgAHQA6uAAdADk8Rd9L0C3QH8uqGh4aKmpqZOF1xwQf0ZZ5wR4BQyvp93RwZIgR2vvfYaJS5PvPvuu3X19fXj4/H47QA+4nQujkyJHxstAWDnk+RZANf9hy2AklcKA6BkQbk6VsCEAiEAhzc1NV2STCb3POqoo7Lnnntu/T777INAgB9VE7ryrQCWLVuGhx56qHDXXXcl165dm0yn03fk8/n7ASxlgVgByQowAEoW1Irq+FPFClW5TlbAvAJDI5HI2cFg8Nd9+vQJnn/++bETTzwRnEbGvLC1VEMul8OkSZPwj3/8I/Xiiy+GGxoaPmptbSVr34ucw6+WVoLtYy0BYPOJ8iyALY+zBVDyNDIAShaUq2MFJCsQBXBsU1PThYlEYpcDDjggfdppp0WPOOIIxGIxyU1xdX5QgJI2f/XVV3jsscfy//73v9NtbW2pfD7/QDqdJmvf934YI4/B9QqUALDpBHkA2PpfBkDJ084AKFlQro4VsFCBQQBOaGxsPDOXy/U+5phjcMopp0T2228/hELkPeZSywrMmzcPjz/+eOGhhx5KzJ8/PxyJRJ5PJBJ0fMIbHM1byyvDkbEzADoiu1ijDIBievHVrIAbFKDndkQkEjk5GAye1NjYGP3Vr34VOemkk0K77ror7xd0wwzZ1Ic1a9bg6aefpr198U8//TQai8Xea21tfQDA8wBabeoGN8MK6BUoAuD+sZ9LswC+Ff8/tgBKXmcMgJIF5epYAZsVoJwx+zc0NJyWyWSO6tWrV/7YY4+tO+qoo0JjxozhlDI2T4YdzZGl78UXXyTwi3/wwQfRhoaGb1tbW/8J4EmK9bCjD9wGK9CBAiUAbDheHgAmaHnzUXAyVx4DoEw1uS5WwFkFaFPgQdFo9GgAPwmFQg2HHXYYjj766LpDDjkEnTt3drZ33HpVClDalk8//RQvvPBC4amnnor/8MMPDY2NjVNaWlroE/EFAD9UVTHfxApYpwADoHXaSquZAVCalFwRK+AqBYIAdgsGgz+JxWLHJxKJAXvuuWfyuOOOixEUDho0iF3FrpquTTvT2tpajN6dMGFCZvz48bm2trZ8OByeGI/HnwbwGoA1Lu4+d40VKAFg/XHyLIApOpiGLYAylxYDoEw1uS5WwL0KDARwRHNz8/FtbW179OjRI33ggQeGDjzwwLpx48ZhwIABDIQOzl1bWxs+/PBDvPXWW4XXXnstPnXq1IZoNLosk8k8k8lkJgB4j9O2ODhB3LSoAiUArPsZwoGI6L2bXZ8tZPBWmr77MACaFlNTAQOgTDW5LlbAGwo0AhgdDAbHNTU1Hdba2jpcBcKDDjpoAxB6Yyje7KUKfJMmTSoC31dffUXAtzKfz7+eTCZfB/AOgLneHB33mhUoHQXHAOjulcAA6O754d6xAnYooAfCnXr06JHae++9A3vuuWd0xIgRGDlyJLp27WpHX3zXRjabxfTp0/H5559jypQpuQ8++CA5bdq0hvr6+lWFQuGNRCLxPwBvM/D5bupreUBFANwvfKw0C+Ck7DNsAZS8ohgAJQvK1bECPlCgCIS0h7CxsXFv+retrW2L3r17x3fffffg6NGjowSEBIbdu9MxxlxUBTKZTBH2PvvssyLsffjhh8lvv/2WknlnGxoavonH4+9ns9kpAN5n4ON142MFSgAYOloeAOaeEwXA3wK4BEBvAF8BOBfAZB9rLjw0BkBhyfgGVqAmFSDSGwFgpAYKe/Xs2TMxZMiQ/PDhw6PbbbddaMiQIaCf/v37+zoFzerVqzFz5sziz4wZMzBt2rTk9OnTc3Pnzo0GAgGCvWka2PsMwCwAuZpcOTzoWlTAaQA8HsCjAM4C8AmACwD8DMBQAMtrcULKjZkBkFcCK8AKVKtANwA7Adg2GAwOaWpq2iWfzw+Nx+N9AoFAoG/fvolhw4YFdtxxx4YBAwYEttxyS9BPnz590Lt3b0SjZBhzX6G0KytXrsSSJUs2/CxatAjfffddetq0aenZs2dHWlpa6qPR6Lq6urrZyWRyajqdng5gJoBvFdjLu29k3CNWwDYFigA4LvBTaRbAtwvjRSyABH1kaf+dMmLKirAAwF0AbrVNBZc3xADo8gni7rECHlSAklP3BzCEfkKh0LBYLLYtMWEmk+mZTCa7FgqFQGNjY7pnz54ZgsIBAwZE+vXrV0e5Cpubm4s/TU1Nm/yr/q6xsbF49F0wGNzwEwgEQOCm/UmlUmhpaQGlVKF/K/33smXLcvPmzUstXLgwv2zZstDq1avr8/l8sK6uLlFXV7cyGAwuyWaz8+LxuAp5BHpk0VvnwbnhLrMCdijgJADWAYjTGeoAKIJeLY8A6EI5Uu0QwAttMAB6YZa4j6yAvxSgg4t7AthS89MnFAr1qa+v7x4MBjuHQqFOhUKBfhpzuVxjNpttoB8CM1EpwuFwKhKJJEKhUDwYDLYFAoEWAC25XG5tOp2mn6UAFgNYovuhDxEurAArIK5AEQDH4FCEISENDDJ4H69QL/rRs6vpTgoA/WhLHwCLAOwF4CPNH/4EYCyAPcSH4887GAD9Oa88KlbAjwrQ+6oeAJ14QiCo/6E9duR6VX/SANqU//ejHjwmVsCtCtD+jjlKAIasPtLZ1k26yq4DcK1BAPwzgH0A7CmrQ16vhwHQ6zPI/WcFWAFWgBVgBdynAEEguWOtLOUsgOwCNqg4A6BBofgyVoAVYAVYAVaAFfCEAhQEQilfKPULFfIWzAdwNweBbJw/BkBPrGXuJCvACrACrAArwAoYVEBNA3OmAoKUBuY4ANsBWGawDt9fxgDo+ynmAbICrAArwAqwAjWnAKWAURNBfwngPCUnYM0JUWnADIC8FFgBVoAVYAVYAVaAFagxBRgAa2zCebisACvACrACrAArwAowAPIaYAVYAVaAFWAFWAFWoMYUYACssQnn4bICrAArwAqwAqwAK8AAyGuAFWAFWAFWgBVgBViBGlOAAbDGJpyHywqwAqwAK8AKsAKsAAMgrwFWgBVgBVgBVoAVYAVqTAEGwBqbcB4uK8AKsAKsACvACrACDIC8BlgBVsAtCuyrJG4dCWBLAD8FMEHTOToI/lYARwHorhw2fyeA+zTX0PmjfwXwcwD1ACYCOEeX/f9IAH8BUABwEYCX3CIA94MVYAVYAbsUYAC0S2luhxVgBTpS4McA9gbwOYBnywDgPwHsD+B0AHMB/AjAPQCOBvCCUvm9AA4DcAqAdcrZn3mlXrqEoPB7AKcCoPffvwAMBpDuqHP8d1aAFWAF/KQAA6CfZpPHwgr4RwGyzuktgNMAPAngBs0wPwPwKoArAXQGsALACQCeUa6hsz+/BTAawMcAOgGYCmCU8vcpAHYC0OIf6XgkrAArwAp0rAADYMca8RWsACtgvwLlAJAsgLsqLuDFAMYplj+y+L2rWAffBNAVwFpNl+cB+DuA25XfXaMAI7VB4Pgn+4fHLbICrAAr4KwCDIDO6s+tswKsQHkFygEguW8JAn8FIAuAXLtnAHhUqYIsfw8rbl5trZMBTAJwqeaXZC2k+9nyxyuQFWAFalIBBsCanHYeNCvgegXKAeDFCvDRv2TVo6CRWxRX8RuK67ccAJKblyyDl7l+1NxBVoAVYAVsUoAB0CahuRlWgBUQUkAPgA1KUAftC3xZU9ODAPoBOETABSzUEb6YFWAFWAE/KsAA6MdZ5TGxAt5XQA+AFLxBUb2HKkEf6gjvBzBQiQhWg0B+oUQR0zVDAMzQBIF4XxkeASvACrACEhRgAJQgIlfBCrACUhSgPH/bKDV9AeD3yt691QDmA3gbQA8Av1NcwGMBUNoXuo7+pUL/EiRSGpj1AO5Sfr+XlB5yJawAK8AK+EQBBkCfTCQPgxXwgQIU1UvBGvryiAJ0vZU9f5QIaKH1AAABpklEQVT/r5sCgRQUQtG9ZDGkoiaCJiugNhH0Uh/ow0NgBVgBVkCaAgyA0qTkilgBVoAVYAVYAVaAFfCGAgyA3pgn7iUrwAqwAqwAK8AKsALSFGAAlCYlV8QKsAKsACvACrACrIA3FGAA9MY8cS9ZAVaAFWAFWAFWgBWQpgADoDQpuSJWgBVgBVgBVoAVYAW8oQADoDfmiXvJCrACrAArwAqwAqyANAUYAKVJyRWxAqwAK8AKsAKsACvgDQUYAL0xT9xLVoAVYAVYAVaAFWAFpCnAAChNSq6IFWAFWAFWgBVgBVgBbyjAAOiNeeJesgKsACvACrACrAArIE0BBkBpUnJFrAArwAqwAqwAK8AKeEMBBkBvzBP3khVgBVgBVoAVYAVYAWkKMABKk5IrYgVYAVaAFWAFWAFWwBsKMAB6Y564l6wAK8AKsAKsACvACkhTgAFQmpRcESvACrACrAArwAqwAt5QgAHQG/PEvWQFWAFWgBVgBVgBVkCaAgyA0qTkilgBVoAVYAVYAVaAFfCGAgyA3pgn7iUrwAqwAqwAK8AKsALSFPh/6kfNN01RG6MAAAAASUVORK5CYII=\" width=\"640\">"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plot_array = SIS_grouped.SIS\n",
"\n",
"# prepare data\n",
"data = plot_array.T.values\n",
"# theta = np.append(plot_array.aspect_round * np.pi / 180, 2*np.pi) + (0.5 * ASP_ROUND * np.pi / 180)\n",
"theta = plot_array.azimuth * np.pi / 180 - (0.5 * RND * np.pi / 180)\n",
"tilts = plot_array.apparent_zenith\n",
"\n",
"X, Y = np.meshgrid( theta, tilts )\n",
"\n",
"# SET PROPERTIES\n",
"VMIN = None\n",
"VMAX = None\n",
" \n",
"plt.figure()\n",
"ax = plt.subplot(projection='polar')\n",
"ax.set_theta_zero_location('N')\n",
"ax.set_theta_direction(-1)\n",
"ax.set_ylim((0, 90))\n",
"\n",
"plt.pcolor(X, Y, data, vmin = VMIN, vmax = VMAX)\n",
"cb = plt.colorbar() # extend = get_cbar_extent( data, VMIN, VMAX )\n",
"cb.set_label('Global solar radiation (W/m2)')\n",
"\n",
"# FORMATTING\n",
"# xticks = ['N', 'NE', 'E', 'SE', 'S', 'SW', 'W', 'NW']\n",
"# ax.set_xticklabels( xticks )\n",
"# ax.text(10,120, 'Sun zenith')\n",
"ax.set_rlabel_position(20) # get radial labels away from plotted line\n",
"yticks = [str(int(tilt)) + '°' for tilt in ax.get_yticks()]\n",
"ax.set_yticklabels( yticks )\n",
"\n",
"plt.tight_layout()\n",
"plt.show()\n",
"plt.savefig('GHI_combi_original_lim.png', dpi = 300)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Check for other years"
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {},
"outputs": [],
"source": [
"SIS_corrected = SIS_df.copy()\n",
"# SIS_2010['date'] = (SIS_2010.date + pd.Timedelta(9, unit = 'Y')).dt.strftime('%Y-%m-%d')\n",
"# SIS_2010.index = pd.to_datetime(SIS_2010.date) + pd.to_timedelta(SIS_2010.hour, unit = 'h')\n",
"SIS_corrected.index = SIS_corrected.index + pd.Timedelta(0.5, unit = 'h')\n",
"solpos_corrected = get_solarposition(SIS_corrected.index, 46.818188, 8.227512)"
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {},
"outputs": [],
"source": [
"RND = 20\n",
"SIS_corrected['apparent_zenith'] = util.round_to_interval(solpos_corrected['apparent_zenith'], 5)\n",
"SIS_corrected['azimuth'] = util.round_to_interval(solpos_corrected['azimuth'], RND)\n"
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {},
"outputs": [],
"source": [
"SIS_winter = SIS_corrected[(SIS_corrected.date.dt.month > 11)| (SIS_corrected.date.dt.month <= 2)]\n",
"SIS_spring = SIS_corrected[(SIS_corrected.date.dt.month > 2) & (SIS_corrected.date.dt.month <= 5)]\n",
"SIS_summer = SIS_corrected[(SIS_corrected.date.dt.month > 5) & (SIS_corrected.date.dt.month <= 8)]\n",
"SIS_autumn = SIS_corrected[(SIS_corrected.date.dt.month > 8) & (SIS_corrected.date.dt.month <= 11)]"
]
},
{
"cell_type": "code",
"execution_count": 23,
"metadata": {},
"outputs": [],
"source": [
"SIS_corrected_grouped = SIS_corrected.groupby(['azimuth', 'apparent_zenith' ]).mean().to_xarray()\n",
"SIS_winter_gr = SIS_winter.groupby(['azimuth', 'apparent_zenith' ]).mean().to_xarray()\n",
"SIS_spring_gr = SIS_spring.groupby(['azimuth', 'apparent_zenith' ]).mean().to_xarray()\n",
"SIS_summer_gr = SIS_summer.groupby(['azimuth', 'apparent_zenith' ]).mean().to_xarray()\n",
"SIS_autumn_gr = SIS_autumn.groupby(['azimuth', 'apparent_zenith' ]).mean().to_xarray()"
]
},
{
"cell_type": "code",
"execution_count": 58,
"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>apparent_zenith</th>\n",
" <th>zenith</th>\n",
" <th>apparent_elevation</th>\n",
" <th>elevation</th>\n",
" <th>azimuth</th>\n",
" <th>equation_of_time</th>\n",
" </tr>\n",
" <tr>\n",
" <th>timestamp</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>2001-06-21 03:30:00</th>\n",
" <td>91.203999</td>\n",
" <td>91.203999</td>\n",
" <td>-1.203999</td>\n",
" <td>-1.203999</td>\n",
" <td>52.862110</td>\n",
" <td>-1.681023</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2001-06-21 04:30:00</th>\n",
" <td>82.372880</td>\n",
" <td>82.488577</td>\n",
" <td>7.627120</td>\n",
" <td>7.511423</td>\n",
" <td>63.528891</td>\n",
" <td>-1.690175</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2001-06-21 05:30:00</th>\n",
" <td>72.889943</td>\n",
" <td>72.943585</td>\n",
" <td>17.110057</td>\n",
" <td>17.056415</td>\n",
" <td>73.677893</td>\n",
" <td>-1.699326</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2001-06-21 06:30:00</th>\n",
" <td>62.858726</td>\n",
" <td>62.891358</td>\n",
" <td>27.141274</td>\n",
" <td>27.108642</td>\n",
" <td>83.830223</td>\n",
" <td>-1.708476</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2001-06-21 07:30:00</th>\n",
" <td>52.622404</td>\n",
" <td>52.644396</td>\n",
" <td>37.377596</td>\n",
" <td>37.355604</td>\n",
" <td>94.713268</td>\n",
" <td>-1.717625</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2001-06-21 08:30:00</th>\n",
" <td>42.570531</td>\n",
" <td>42.585989</td>\n",
" <td>47.429469</td>\n",
" <td>47.414011</td>\n",
" <td>107.483980</td>\n",
" <td>-1.726773</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2001-06-21 09:30:00</th>\n",
" <td>33.335258</td>\n",
" <td>33.346332</td>\n",
" <td>56.664742</td>\n",
" <td>56.653668</td>\n",
" <td>124.190673</td>\n",
" <td>-1.735921</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2001-06-21 10:30:00</th>\n",
" <td>26.185100</td>\n",
" <td>26.193376</td>\n",
" <td>63.814900</td>\n",
" <td>63.806624</td>\n",
" <td>148.142192</td>\n",
" <td>-1.745067</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2001-06-21 11:30:00</th>\n",
" <td>23.374554</td>\n",
" <td>23.381826</td>\n",
" <td>66.625446</td>\n",
" <td>66.618174</td>\n",
" <td>180.666041</td>\n",
" <td>-1.754213</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2001-06-21 12:30:00</th>\n",
" <td>26.396405</td>\n",
" <td>26.404758</td>\n",
" <td>63.603595</td>\n",
" <td>63.595242</td>\n",
" <td>212.951446</td>\n",
" <td>-1.763357</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2001-06-21 13:30:00</th>\n",
" <td>33.662850</td>\n",
" <td>33.674062</td>\n",
" <td>56.337150</td>\n",
" <td>56.325938</td>\n",
" <td>236.560647</td>\n",
" <td>-1.772501</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2001-06-21 14:30:00</th>\n",
" <td>42.947144</td>\n",
" <td>42.962807</td>\n",
" <td>47.052856</td>\n",
" <td>47.037193</td>\n",
" <td>253.061970</td>\n",
" <td>-1.781643</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2001-06-21 15:30:00</th>\n",
" <td>53.015403</td>\n",
" <td>53.037709</td>\n",
" <td>36.984597</td>\n",
" <td>36.962291</td>\n",
" <td>265.729931</td>\n",
" <td>-1.790785</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2001-06-21 16:30:00</th>\n",
" <td>63.250329</td>\n",
" <td>63.283509</td>\n",
" <td>26.749671</td>\n",
" <td>26.716491</td>\n",
" <td>276.567334</td>\n",
" <td>-1.799925</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2001-06-21 17:30:00</th>\n",
" <td>73.267102</td>\n",
" <td>73.321978</td>\n",
" <td>16.732898</td>\n",
" <td>16.678022</td>\n",
" <td>286.707850</td>\n",
" <td>-1.809064</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2001-06-21 18:30:00</th>\n",
" <td>82.720852</td>\n",
" <td>82.841379</td>\n",
" <td>7.279148</td>\n",
" <td>7.158621</td>\n",
" <td>296.868035</td>\n",
" <td>-1.818202</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2001-06-21 19:30:00</th>\n",
" <td>91.518006</td>\n",
" <td>91.518006</td>\n",
" <td>-1.518006</td>\n",
" <td>-1.518006</td>\n",
" <td>307.563276</td>\n",
" <td>-1.827338</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" apparent_zenith zenith apparent_elevation \\\n",
"timestamp \n",
"2001-06-21 03:30:00 91.203999 91.203999 -1.203999 \n",
"2001-06-21 04:30:00 82.372880 82.488577 7.627120 \n",
"2001-06-21 05:30:00 72.889943 72.943585 17.110057 \n",
"2001-06-21 06:30:00 62.858726 62.891358 27.141274 \n",
"2001-06-21 07:30:00 52.622404 52.644396 37.377596 \n",
"2001-06-21 08:30:00 42.570531 42.585989 47.429469 \n",
"2001-06-21 09:30:00 33.335258 33.346332 56.664742 \n",
"2001-06-21 10:30:00 26.185100 26.193376 63.814900 \n",
"2001-06-21 11:30:00 23.374554 23.381826 66.625446 \n",
"2001-06-21 12:30:00 26.396405 26.404758 63.603595 \n",
"2001-06-21 13:30:00 33.662850 33.674062 56.337150 \n",
"2001-06-21 14:30:00 42.947144 42.962807 47.052856 \n",
"2001-06-21 15:30:00 53.015403 53.037709 36.984597 \n",
"2001-06-21 16:30:00 63.250329 63.283509 26.749671 \n",
"2001-06-21 17:30:00 73.267102 73.321978 16.732898 \n",
"2001-06-21 18:30:00 82.720852 82.841379 7.279148 \n",
"2001-06-21 19:30:00 91.518006 91.518006 -1.518006 \n",
"\n",
" elevation azimuth equation_of_time \n",
"timestamp \n",
"2001-06-21 03:30:00 -1.203999 52.862110 -1.681023 \n",
"2001-06-21 04:30:00 7.511423 63.528891 -1.690175 \n",
"2001-06-21 05:30:00 17.056415 73.677893 -1.699326 \n",
"2001-06-21 06:30:00 27.108642 83.830223 -1.708476 \n",
"2001-06-21 07:30:00 37.355604 94.713268 -1.717625 \n",
"2001-06-21 08:30:00 47.414011 107.483980 -1.726773 \n",
"2001-06-21 09:30:00 56.653668 124.190673 -1.735921 \n",
"2001-06-21 10:30:00 63.806624 148.142192 -1.745067 \n",
"2001-06-21 11:30:00 66.618174 180.666041 -1.754213 \n",
"2001-06-21 12:30:00 63.595242 212.951446 -1.763357 \n",
"2001-06-21 13:30:00 56.325938 236.560647 -1.772501 \n",
"2001-06-21 14:30:00 47.037193 253.061970 -1.781643 \n",
"2001-06-21 15:30:00 36.962291 265.729931 -1.790785 \n",
"2001-06-21 16:30:00 26.716491 276.567334 -1.799925 \n",
"2001-06-21 17:30:00 16.678022 286.707850 -1.809064 \n",
"2001-06-21 18:30:00 7.158621 296.868035 -1.818202 \n",
"2001-06-21 19:30:00 -1.518006 307.563276 -1.827338 "
]
},
"execution_count": 58,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"solpos_corrected['2001-06-21']"
]
},
{
"cell_type": "code",
"execution_count": 165,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
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"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>apparent_zenith</th>\n",
" <th>zenith</th>\n",
" <th>apparent_elevation</th>\n",
" <th>elevation</th>\n",
" <th>azimuth</th>\n",
" <th>equation_of_time</th>\n",
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" <tr>\n",
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" <th>2001-01-01 03:00:00</th>\n",
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" <th>2001-01-01 04:00:00</th>\n",
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" <th>2001-01-01 05:00:00</th>\n",
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" <td>111.640071</td>\n",
" <td>-21.640071</td>\n",
" <td>-21.640071</td>\n",
" <td>101.037509</td>\n",
" <td>-3.512378</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2001-01-01 06:00:00</th>\n",
" <td>101.791097</td>\n",
" <td>101.791097</td>\n",
" <td>-11.791097</td>\n",
" <td>-11.791097</td>\n",
" <td>111.143456</td>\n",
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" <tr>\n",
" <th>2001-01-01 07:00:00</th>\n",
" <td>92.601323</td>\n",
" <td>92.601323</td>\n",
" <td>-2.601323</td>\n",
" <td>-2.601323</td>\n",
" <td>121.529339</td>\n",
" <td>-3.551711</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" apparent_zenith zenith apparent_elevation \\\n",
"timestamp \n",
"2001-01-01 03:00:00 132.041097 132.041097 -42.041097 \n",
"2001-01-01 04:00:00 121.835538 121.835538 -31.835538 \n",
"2001-01-01 05:00:00 111.640071 111.640071 -21.640071 \n",
"2001-01-01 06:00:00 101.791097 101.791097 -11.791097 \n",
"2001-01-01 07:00:00 92.601323 92.601323 -2.601323 \n",
"\n",
" elevation azimuth equation_of_time \n",
"timestamp \n",
"2001-01-01 03:00:00 -42.041097 78.937205 -3.473005 \n",
"2001-01-01 04:00:00 -31.835538 90.601605 -3.492696 \n",
"2001-01-01 05:00:00 -21.640071 101.037509 -3.512378 \n",
"2001-01-01 06:00:00 -11.791097 111.143456 -3.532049 \n",
"2001-01-01 07:00:00 -2.601323 121.529339 -3.551711 "
]
},
"execution_count": 165,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"solpos.head()"
]
},
{
"cell_type": "code",
"execution_count": 166,
"metadata": {},
"outputs": [
{
"data": {
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" return WebSocket;\n",
" } else if (typeof(MozWebSocket) !== 'undefined') {\n",
" return MozWebSocket;\n",
" } else {\n",
" alert('Your browser does not have WebSocket support.' +\n",
" 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
" 'Firefox 4 and 5 are also supported but you ' +\n",
" 'have to enable WebSockets in about:config.');\n",
" };\n",
"}\n",
"\n",
"mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
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" 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",
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"\n",
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" var titletext = $(\n",
" '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
" 'text-align: center; padding: 3px;\"/>');\n",
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"\n",
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"mpl.figure.prototype._init_canvas = function() {\n",
" var fig = this;\n",
"\n",
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"\n",
" canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
"\n",
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" }\n",
"\n",
" canvas_div.keydown('key_press', canvas_keyboard_event);\n",
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" this.canvas_div = canvas_div\n",
" this._canvas_extra_style(canvas_div)\n",
" this.root.append(canvas_div);\n",
"\n",
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" canvas.addClass('mpl-canvas');\n",
" canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
"\n",
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"\tthis.context.msBackingStorePixelRatio ||\n",
"\tthis.context.oBackingStorePixelRatio ||\n",
"\tthis.context.backingStorePixelRatio || 1;\n",
"\n",
" mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
"\n",
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" canvas_div.css('height', height)\n",
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" if (!name) {\n",
" // put a spacer in here.\n",
" continue;\n",
" }\n",
" var button = $('<button/>');\n",
" button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
" 'ui-button-icon-only');\n",
" button.attr('role', 'button');\n",
" button.attr('aria-disabled', 'false');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
"\n",
" var icon_img = $('<span/>');\n",
" icon_img.addClass('ui-button-icon-primary ui-icon');\n",
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"\n",
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" }\n",
"\n",
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" fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
" fmt_picker_span.append(fmt_picker);\n",
" nav_element.append(fmt_picker_span);\n",
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"\n",
" for (var ind in mpl.extensions) {\n",
" var fmt = mpl.extensions[ind];\n",
" var option = $(\n",
" '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
" fmt_picker.append(option)\n",
" }\n",
"\n",
" // Add hover states to the ui-buttons\n",
" $( \".ui-button\" ).hover(\n",
" function() { $(this).addClass(\"ui-state-hover\");},\n",
" function() { $(this).removeClass(\"ui-state-hover\");}\n",
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"\n",
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" nav_element.append(status_bar);\n",
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"}\n",
"\n",
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" // which will in turn request a refresh of the image.\n",
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"\n",
"\n",
"mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
" var size = msg['size'];\n",
" if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
" fig._resize_canvas(size[0], size[1]);\n",
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" };\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
" var x0 = msg['x0'] / mpl.ratio;\n",
" var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
" var x1 = msg['x1'] / mpl.ratio;\n",
" var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
" x0 = Math.floor(x0) + 0.5;\n",
" y0 = Math.floor(y0) + 0.5;\n",
" x1 = Math.floor(x1) + 0.5;\n",
" y1 = Math.floor(y1) + 0.5;\n",
" var min_x = Math.min(x0, x1);\n",
" var min_y = Math.min(y0, y1);\n",
" var width = Math.abs(x1 - x0);\n",
" var height = Math.abs(y1 - y0);\n",
"\n",
" fig.rubberband_context.clearRect(\n",
" 0, 0, fig.canvas.width, fig.canvas.height);\n",
"\n",
" fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
" // Updates the figure title.\n",
" fig.header.textContent = msg['label'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
" var cursor = msg['cursor'];\n",
" switch(cursor)\n",
" {\n",
" case 0:\n",
" cursor = 'pointer';\n",
" break;\n",
" case 1:\n",
" cursor = 'default';\n",
" break;\n",
" case 2:\n",
" cursor = 'crosshair';\n",
" break;\n",
" case 3:\n",
" cursor = 'move';\n",
" break;\n",
" }\n",
" fig.rubberband_canvas.style.cursor = cursor;\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_message = function(fig, msg) {\n",
" fig.message.textContent = msg['message'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
" // Request the server to send over a new figure.\n",
" fig.send_draw_message();\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
" fig.image_mode = msg['mode'];\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Called whenever the canvas gets updated.\n",
" this.send_message(\"ack\", {});\n",
"}\n",
"\n",
"// A function to construct a web socket function for onmessage handling.\n",
"// Called in the figure constructor.\n",
"mpl.figure.prototype._make_on_message_function = function(fig) {\n",
" return function socket_on_message(evt) {\n",
" if (evt.data instanceof Blob) {\n",
" /* FIXME: We get \"Resource interpreted as Image but\n",
" * transferred with MIME type text/plain:\" errors on\n",
" * Chrome. But how to set the MIME type? It doesn't seem\n",
" * to be part of the websocket stream */\n",
" evt.data.type = \"image/png\";\n",
"\n",
" /* Free the memory for the previous frames */\n",
" if (fig.imageObj.src) {\n",
" (window.URL || window.webkitURL).revokeObjectURL(\n",
" fig.imageObj.src);\n",
" }\n",
"\n",
" fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
" evt.data);\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
" else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
" fig.imageObj.src = evt.data;\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
"\n",
" var msg = JSON.parse(evt.data);\n",
" var msg_type = msg['type'];\n",
"\n",
" // Call the \"handle_{type}\" callback, which takes\n",
" // the figure and JSON message as its only arguments.\n",
" try {\n",
" var callback = fig[\"handle_\" + msg_type];\n",
" } catch (e) {\n",
" console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
" return;\n",
" }\n",
"\n",
" if (callback) {\n",
" try {\n",
" // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
" callback(fig, msg);\n",
" } catch (e) {\n",
" console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
" }\n",
" }\n",
" };\n",
"}\n",
"\n",
"// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
"mpl.findpos = function(e) {\n",
" //this section is from http://www.quirksmode.org/js/events_properties.html\n",
" var targ;\n",
" if (!e)\n",
" e = window.event;\n",
" if (e.target)\n",
" targ = e.target;\n",
" else if (e.srcElement)\n",
" targ = e.srcElement;\n",
" if (targ.nodeType == 3) // defeat Safari bug\n",
" targ = targ.parentNode;\n",
"\n",
" // jQuery normalizes the pageX and pageY\n",
" // pageX,Y are the mouse positions relative to the document\n",
" // offset() returns the position of the element relative to the document\n",
" var x = e.pageX - $(targ).offset().left;\n",
" var y = e.pageY - $(targ).offset().top;\n",
"\n",
" return {\"x\": x, \"y\": y};\n",
"};\n",
"\n",
"/*\n",
" * return a copy of an object with only non-object keys\n",
" * we need this to avoid circular references\n",
" * http://stackoverflow.com/a/24161582/3208463\n",
" */\n",
"function simpleKeys (original) {\n",
" return Object.keys(original).reduce(function (obj, key) {\n",
" if (typeof original[key] !== 'object')\n",
" obj[key] = original[key]\n",
" return obj;\n",
" }, {});\n",
"}\n",
"\n",
"mpl.figure.prototype.mouse_event = function(event, name) {\n",
" var canvas_pos = mpl.findpos(event)\n",
"\n",
" if (name === 'button_press')\n",
" {\n",
" this.canvas.focus();\n",
" this.canvas_div.focus();\n",
" }\n",
"\n",
" var x = canvas_pos.x * mpl.ratio;\n",
" var y = canvas_pos.y * mpl.ratio;\n",
"\n",
" this.send_message(name, {x: x, y: y, button: event.button,\n",
" step: event.step,\n",
" guiEvent: simpleKeys(event)});\n",
"\n",
" /* This prevents the web browser from automatically changing to\n",
" * the text insertion cursor when the button is pressed. We want\n",
" * to control all of the cursor setting manually through the\n",
" * 'cursor' event from matplotlib */\n",
" event.preventDefault();\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" // Handle any extra behaviour associated with a key event\n",
"}\n",
"\n",
"mpl.figure.prototype.key_event = function(event, name) {\n",
"\n",
" // Prevent repeat events\n",
" if (name == 'key_press')\n",
" {\n",
" if (event.which === this._key)\n",
" return;\n",
" else\n",
" this._key = event.which;\n",
" }\n",
" if (name == 'key_release')\n",
" this._key = null;\n",
"\n",
" var value = '';\n",
" if (event.ctrlKey && event.which != 17)\n",
" value += \"ctrl+\";\n",
" if (event.altKey && event.which != 18)\n",
" value += \"alt+\";\n",
" if (event.shiftKey && event.which != 16)\n",
" value += \"shift+\";\n",
"\n",
" value += 'k';\n",
" value += event.which.toString();\n",
"\n",
" this._key_event_extra(event, name);\n",
"\n",
" this.send_message(name, {key: value,\n",
" guiEvent: simpleKeys(event)});\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
" if (name == 'download') {\n",
" this.handle_save(this, null);\n",
" } else {\n",
" this.send_message(\"toolbar_button\", {name: name});\n",
" }\n",
"};\n",
"\n",
"mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
" this.message.textContent = tooltip;\n",
"};\n",
"mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
"\n",
"mpl.extensions = [\"eps\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\n",
"\n",
"mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
" // Create a \"websocket\"-like object which calls the given IPython comm\n",
" // object with the appropriate methods. Currently this is a non binary\n",
" // socket, so there is still some room for performance tuning.\n",
" var ws = {};\n",
"\n",
" ws.close = function() {\n",
" comm.close()\n",
" };\n",
" ws.send = function(m) {\n",
" //console.log('sending', m);\n",
" comm.send(m);\n",
" };\n",
" // Register the callback with on_msg.\n",
" comm.on_msg(function(msg) {\n",
" //console.log('receiving', msg['content']['data'], msg);\n",
" // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
" ws.onmessage(msg['content']['data'])\n",
" });\n",
" return ws;\n",
"}\n",
"\n",
"mpl.mpl_figure_comm = function(comm, msg) {\n",
" // This is the function which gets called when the mpl process\n",
" // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
"\n",
" var id = msg.content.data.id;\n",
" // Get hold of the div created by the display call when the Comm\n",
" // socket was opened in Python.\n",
" var element = $(\"#\" + id);\n",
" var ws_proxy = comm_websocket_adapter(comm)\n",
"\n",
" function ondownload(figure, format) {\n",
" window.open(figure.imageObj.src);\n",
" }\n",
"\n",
" var fig = new mpl.figure(id, ws_proxy,\n",
" ondownload,\n",
" element.get(0));\n",
"\n",
" // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
" // web socket which is closed, not our websocket->open comm proxy.\n",
" ws_proxy.onopen();\n",
"\n",
" fig.parent_element = element.get(0);\n",
" fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
" if (!fig.cell_info) {\n",
" console.error(\"Failed to find cell for figure\", id, fig);\n",
" return;\n",
" }\n",
"\n",
" var output_index = fig.cell_info[2]\n",
" var cell = fig.cell_info[0];\n",
"\n",
"};\n",
"\n",
"mpl.figure.prototype.handle_close = function(fig, msg) {\n",
" var width = fig.canvas.width/mpl.ratio\n",
" fig.root.unbind('remove')\n",
"\n",
" // Update the output cell to use the data from the current canvas.\n",
" fig.push_to_output();\n",
" var dataURL = fig.canvas.toDataURL();\n",
" // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
" // the notebook keyboard shortcuts fail.\n",
" IPython.keyboard_manager.enable()\n",
" $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
" fig.close_ws(fig, msg);\n",
"}\n",
"\n",
"mpl.figure.prototype.close_ws = function(fig, msg){\n",
" fig.send_message('closing', msg);\n",
" // fig.ws.close()\n",
"}\n",
"\n",
"mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
" // Turn the data on the canvas into data in the output cell.\n",
" var width = this.canvas.width/mpl.ratio\n",
" var dataURL = this.canvas.toDataURL();\n",
" this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Tell IPython that the notebook contents must change.\n",
" IPython.notebook.set_dirty(true);\n",
" this.send_message(\"ack\", {});\n",
" var fig = this;\n",
" // Wait a second, then push the new image to the DOM so\n",
" // that it is saved nicely (might be nice to debounce this).\n",
" setTimeout(function () { fig.push_to_output() }, 1000);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('<div/>')\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items){\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) { continue; };\n",
"\n",
" var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" // Add the status bar.\n",
" var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"\n",
" // Add the close button to the window.\n",
" var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
" var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
" button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
" button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
" buttongrp.append(button);\n",
" var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
" titlebar.prepend(buttongrp);\n",
"}\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(el){\n",
" var fig = this\n",
" el.on(\"remove\", function(){\n",
"\tfig.close_ws(fig, {});\n",
" });\n",
"}\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(el){\n",
" // this is important to make the div 'focusable\n",
" el.attr('tabindex', 0)\n",
" // reach out to IPython and tell the keyboard manager to turn it's self\n",
" // off when our div gets focus\n",
"\n",
" // location in version 3\n",
" if (IPython.notebook.keyboard_manager) {\n",
" IPython.notebook.keyboard_manager.register_events(el);\n",
" }\n",
" else {\n",
" // location in version 2\n",
" IPython.keyboard_manager.register_events(el);\n",
" }\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" var manager = IPython.notebook.keyboard_manager;\n",
" if (!manager)\n",
" manager = IPython.keyboard_manager;\n",
"\n",
" // Check for shift+enter\n",
" if (event.shiftKey && event.which == 13) {\n",
" this.canvas_div.blur();\n",
" event.shiftKey = false;\n",
" // Send a \"J\" for go to next cell\n",
" event.which = 74;\n",
" event.keyCode = 74;\n",
" manager.command_mode();\n",
" manager.handle_keydown(event);\n",
" }\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" fig.ondownload(fig, null);\n",
"}\n",
"\n",
"\n",
"mpl.find_output_cell = function(html_output) {\n",
" // Return the cell and output element which can be found *uniquely* in the notebook.\n",
" // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
" // IPython event is triggered only after the cells have been serialised, which for\n",
" // our purposes (turning an active figure into a static one), is too late.\n",
" var cells = IPython.notebook.get_cells();\n",
" var ncells = cells.length;\n",
" for (var i=0; i<ncells; i++) {\n",
" var cell = cells[i];\n",
" if (cell.cell_type === 'code'){\n",
" for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
" var data = cell.output_area.outputs[j];\n",
" if (data.data) {\n",
" // IPython >= 3 moved mimebundle to data attribute of output\n",
" data = data.data;\n",
" }\n",
" if (data['text/html'] == html_output) {\n",
" return [cell, data, j];\n",
" }\n",
" }\n",
" }\n",
" }\n",
"}\n",
"\n",
"// Register the function which deals with the matplotlib target/channel.\n",
"// The kernel may be null if the page has been refreshed.\n",
"if (IPython.notebook.kernel != null) {\n",
" IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
"}\n"
],
"text/plain": [
"<IPython.core.display.Javascript object>"
]
},
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"output_type": "display_data"
},
{
"data": {
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\" width=\"640\">"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plot_array = SIS_2010_grouped.SIS\n",
"\n",
"# prepare data\n",
"data = plot_array.T.values\n",
"# theta = np.append(plot_array.aspect_round * np.pi / 180, 2*np.pi) + (0.5 * ASP_ROUND * np.pi / 180)\n",
"theta = plot_array.azimuth * np.pi / 180 - (0.5 * RND * np.pi / 180)\n",
"tilts = plot_array.apparent_zenith\n",
"\n",
"X, Y = np.meshgrid( theta, tilts )\n",
"\n",
"# SET PROPERTIES\n",
"VMIN = None\n",
"VMAX = None\n",
" \n",
"plt.figure()\n",
"ax = plt.subplot(projection='polar')\n",
"ax.set_theta_zero_location('N')\n",
"ax.set_theta_direction(-1)\n",
"ax.set_ylim((0, 90))\n",
"\n",
"plt.pcolor(X, Y, data, vmin = VMIN, vmax = VMAX)\n",
"cb = plt.colorbar() # extend = get_cbar_extent( data, VMIN, VMAX )\n",
"cb.set_label('Global solar radiation (W/m2)')\n",
"\n",
"# FORMATTING\n",
"xticks = ['N', 'NE', 'E', 'SE', 'S', 'SW', 'W', 'NW']\n",
"ax.set_xticklabels( xticks )\n",
"# ax.text(10,120, 'Sun zenith')\n",
"ax.set_rlabel_position(20) # get radial labels away from plotted line\n",
"yticks = [str(int(tilt)) + '°' for tilt in ax.get_yticks()]\n",
"ax.set_yticklabels( yticks )\n",
"\n",
"plt.tight_layout()\n",
"plt.show()\n",
"plt.savefig('GHI_combi_shifted_lim.png', dpi = 300)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### Plot seasons"
]
},
{
"cell_type": "code",
"execution_count": 24,
"metadata": {},
"outputs": [],
"source": [
"seasons = {'winter' : SIS_winter_gr, \n",
" 'spring' : SIS_spring_gr,\n",
" 'summer' : SIS_summer_gr,\n",
" 'autumn' : SIS_autumn_gr}"
]
},
{
"cell_type": "code",
"execution_count": 116,
"metadata": {},
"outputs": [
{
"data": {
"application/javascript": [
"/* Put everything inside the global mpl namespace */\n",
"window.mpl = {};\n",
"\n",
"\n",
"mpl.get_websocket_type = function() {\n",
" if (typeof(WebSocket) !== 'undefined') {\n",
" return WebSocket;\n",
" } else if (typeof(MozWebSocket) !== 'undefined') {\n",
" return MozWebSocket;\n",
" } else {\n",
" alert('Your browser does not have WebSocket support.' +\n",
" 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
" 'Firefox 4 and 5 are also supported but you ' +\n",
" 'have to enable WebSockets in about:config.');\n",
" };\n",
"}\n",
"\n",
"mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
" this.id = figure_id;\n",
"\n",
" this.ws = websocket;\n",
"\n",
" this.supports_binary = (this.ws.binaryType != undefined);\n",
"\n",
" if (!this.supports_binary) {\n",
" var warnings = document.getElementById(\"mpl-warnings\");\n",
" if (warnings) {\n",
" warnings.style.display = 'block';\n",
" warnings.textContent = (\n",
" \"This browser does not support binary websocket messages. \" +\n",
" \"Performance may be slow.\");\n",
" }\n",
" }\n",
"\n",
" this.imageObj = new Image();\n",
"\n",
" this.context = undefined;\n",
" this.message = undefined;\n",
" this.canvas = undefined;\n",
" this.rubberband_canvas = undefined;\n",
" this.rubberband_context = undefined;\n",
" this.format_dropdown = undefined;\n",
"\n",
" this.image_mode = 'full';\n",
"\n",
" this.root = $('<div/>');\n",
" this._root_extra_style(this.root)\n",
" this.root.attr('style', 'display: inline-block');\n",
"\n",
" $(parent_element).append(this.root);\n",
"\n",
" this._init_header(this);\n",
" this._init_canvas(this);\n",
" this._init_toolbar(this);\n",
"\n",
" var fig = this;\n",
"\n",
" this.waiting = false;\n",
"\n",
" this.ws.onopen = function () {\n",
" fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
" fig.send_message(\"send_image_mode\", {});\n",
" if (mpl.ratio != 1) {\n",
" fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
" }\n",
" fig.send_message(\"refresh\", {});\n",
" }\n",
"\n",
" this.imageObj.onload = function() {\n",
" if (fig.image_mode == 'full') {\n",
" // Full images could contain transparency (where diff images\n",
" // almost always do), so we need to clear the canvas so that\n",
" // there is no ghosting.\n",
" fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
" }\n",
" fig.context.drawImage(fig.imageObj, 0, 0);\n",
" };\n",
"\n",
" this.imageObj.onunload = function() {\n",
" fig.ws.close();\n",
" }\n",
"\n",
" this.ws.onmessage = this._make_on_message_function(this);\n",
"\n",
" this.ondownload = ondownload;\n",
"}\n",
"\n",
"mpl.figure.prototype._init_header = function() {\n",
" var titlebar = $(\n",
" '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
" 'ui-helper-clearfix\"/>');\n",
" var titletext = $(\n",
" '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
" 'text-align: center; padding: 3px;\"/>');\n",
" titlebar.append(titletext)\n",
" this.root.append(titlebar);\n",
" this.header = titletext[0];\n",
"}\n",
"\n",
"\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
"\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._init_canvas = function() {\n",
" var fig = this;\n",
"\n",
" var canvas_div = $('<div/>');\n",
"\n",
" canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
"\n",
" function canvas_keyboard_event(event) {\n",
" return fig.key_event(event, event['data']);\n",
" }\n",
"\n",
" canvas_div.keydown('key_press', canvas_keyboard_event);\n",
" canvas_div.keyup('key_release', canvas_keyboard_event);\n",
" this.canvas_div = canvas_div\n",
" this._canvas_extra_style(canvas_div)\n",
" this.root.append(canvas_div);\n",
"\n",
" var canvas = $('<canvas/>');\n",
" canvas.addClass('mpl-canvas');\n",
" canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
"\n",
" this.canvas = canvas[0];\n",
" this.context = canvas[0].getContext(\"2d\");\n",
"\n",
" var backingStore = this.context.backingStorePixelRatio ||\n",
"\tthis.context.webkitBackingStorePixelRatio ||\n",
"\tthis.context.mozBackingStorePixelRatio ||\n",
"\tthis.context.msBackingStorePixelRatio ||\n",
"\tthis.context.oBackingStorePixelRatio ||\n",
"\tthis.context.backingStorePixelRatio || 1;\n",
"\n",
" mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
"\n",
" var rubberband = $('<canvas/>');\n",
" rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
"\n",
" var pass_mouse_events = true;\n",
"\n",
" canvas_div.resizable({\n",
" start: function(event, ui) {\n",
" pass_mouse_events = false;\n",
" },\n",
" resize: function(event, ui) {\n",
" fig.request_resize(ui.size.width, ui.size.height);\n",
" },\n",
" stop: function(event, ui) {\n",
" pass_mouse_events = true;\n",
" fig.request_resize(ui.size.width, ui.size.height);\n",
" },\n",
" });\n",
"\n",
" function mouse_event_fn(event) {\n",
" if (pass_mouse_events)\n",
" return fig.mouse_event(event, event['data']);\n",
" }\n",
"\n",
" rubberband.mousedown('button_press', mouse_event_fn);\n",
" rubberband.mouseup('button_release', mouse_event_fn);\n",
" // Throttle sequential mouse events to 1 every 20ms.\n",
" rubberband.mousemove('motion_notify', mouse_event_fn);\n",
"\n",
" rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
" rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
"\n",
" canvas_div.on(\"wheel\", function (event) {\n",
" event = event.originalEvent;\n",
" event['data'] = 'scroll'\n",
" if (event.deltaY < 0) {\n",
" event.step = 1;\n",
" } else {\n",
" event.step = -1;\n",
" }\n",
" mouse_event_fn(event);\n",
" });\n",
"\n",
" canvas_div.append(canvas);\n",
" canvas_div.append(rubberband);\n",
"\n",
" this.rubberband = rubberband;\n",
" this.rubberband_canvas = rubberband[0];\n",
" this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
" this.rubberband_context.strokeStyle = \"#000000\";\n",
"\n",
" this._resize_canvas = function(width, height) {\n",
" // Keep the size of the canvas, canvas container, and rubber band\n",
" // canvas in synch.\n",
" canvas_div.css('width', width)\n",
" canvas_div.css('height', height)\n",
"\n",
" canvas.attr('width', width * mpl.ratio);\n",
" canvas.attr('height', height * mpl.ratio);\n",
" canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
"\n",
" rubberband.attr('width', width);\n",
" rubberband.attr('height', height);\n",
" }\n",
"\n",
" // Set the figure to an initial 600x600px, this will subsequently be updated\n",
" // upon first draw.\n",
" this._resize_canvas(600, 600);\n",
"\n",
" // Disable right mouse context menu.\n",
" $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
" return false;\n",
" });\n",
"\n",
" function set_focus () {\n",
" canvas.focus();\n",
" canvas_div.focus();\n",
" }\n",
"\n",
" window.setTimeout(set_focus, 100);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('<div/>')\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items) {\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) {\n",
" // put a spacer in here.\n",
" continue;\n",
" }\n",
" var button = $('<button/>');\n",
" button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
" 'ui-button-icon-only');\n",
" button.attr('role', 'button');\n",
" button.attr('aria-disabled', 'false');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
"\n",
" var icon_img = $('<span/>');\n",
" icon_img.addClass('ui-button-icon-primary ui-icon');\n",
" icon_img.addClass(image);\n",
" icon_img.addClass('ui-corner-all');\n",
"\n",
" var tooltip_span = $('<span/>');\n",
" tooltip_span.addClass('ui-button-text');\n",
" tooltip_span.html(tooltip);\n",
"\n",
" button.append(icon_img);\n",
" button.append(tooltip_span);\n",
"\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" var fmt_picker_span = $('<span/>');\n",
"\n",
" var fmt_picker = $('<select/>');\n",
" fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
" fmt_picker_span.append(fmt_picker);\n",
" nav_element.append(fmt_picker_span);\n",
" this.format_dropdown = fmt_picker[0];\n",
"\n",
" for (var ind in mpl.extensions) {\n",
" var fmt = mpl.extensions[ind];\n",
" var option = $(\n",
" '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
" fmt_picker.append(option)\n",
" }\n",
"\n",
" // Add hover states to the ui-buttons\n",
" $( \".ui-button\" ).hover(\n",
" function() { $(this).addClass(\"ui-state-hover\");},\n",
" function() { $(this).removeClass(\"ui-state-hover\");}\n",
" );\n",
"\n",
" var status_bar = $('<span class=\"mpl-message\"/>');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"}\n",
"\n",
"mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
" // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
" // which will in turn request a refresh of the image.\n",
" this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
"}\n",
"\n",
"mpl.figure.prototype.send_message = function(type, properties) {\n",
" properties['type'] = type;\n",
" properties['figure_id'] = this.id;\n",
" this.ws.send(JSON.stringify(properties));\n",
"}\n",
"\n",
"mpl.figure.prototype.send_draw_message = function() {\n",
" if (!this.waiting) {\n",
" this.waiting = true;\n",
" this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
" }\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" var format_dropdown = fig.format_dropdown;\n",
" var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
" fig.ondownload(fig, format);\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
" var size = msg['size'];\n",
" if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
" fig._resize_canvas(size[0], size[1]);\n",
" fig.send_message(\"refresh\", {});\n",
" };\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
" var x0 = msg['x0'] / mpl.ratio;\n",
" var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
" var x1 = msg['x1'] / mpl.ratio;\n",
" var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
" x0 = Math.floor(x0) + 0.5;\n",
" y0 = Math.floor(y0) + 0.5;\n",
" x1 = Math.floor(x1) + 0.5;\n",
" y1 = Math.floor(y1) + 0.5;\n",
" var min_x = Math.min(x0, x1);\n",
" var min_y = Math.min(y0, y1);\n",
" var width = Math.abs(x1 - x0);\n",
" var height = Math.abs(y1 - y0);\n",
"\n",
" fig.rubberband_context.clearRect(\n",
" 0, 0, fig.canvas.width, fig.canvas.height);\n",
"\n",
" fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
" // Updates the figure title.\n",
" fig.header.textContent = msg['label'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
" var cursor = msg['cursor'];\n",
" switch(cursor)\n",
" {\n",
" case 0:\n",
" cursor = 'pointer';\n",
" break;\n",
" case 1:\n",
" cursor = 'default';\n",
" break;\n",
" case 2:\n",
" cursor = 'crosshair';\n",
" break;\n",
" case 3:\n",
" cursor = 'move';\n",
" break;\n",
" }\n",
" fig.rubberband_canvas.style.cursor = cursor;\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_message = function(fig, msg) {\n",
" fig.message.textContent = msg['message'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
" // Request the server to send over a new figure.\n",
" fig.send_draw_message();\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
" fig.image_mode = msg['mode'];\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Called whenever the canvas gets updated.\n",
" this.send_message(\"ack\", {});\n",
"}\n",
"\n",
"// A function to construct a web socket function for onmessage handling.\n",
"// Called in the figure constructor.\n",
"mpl.figure.prototype._make_on_message_function = function(fig) {\n",
" return function socket_on_message(evt) {\n",
" if (evt.data instanceof Blob) {\n",
" /* FIXME: We get \"Resource interpreted as Image but\n",
" * transferred with MIME type text/plain:\" errors on\n",
" * Chrome. But how to set the MIME type? It doesn't seem\n",
" * to be part of the websocket stream */\n",
" evt.data.type = \"image/png\";\n",
"\n",
" /* Free the memory for the previous frames */\n",
" if (fig.imageObj.src) {\n",
" (window.URL || window.webkitURL).revokeObjectURL(\n",
" fig.imageObj.src);\n",
" }\n",
"\n",
" fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
" evt.data);\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
" else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
" fig.imageObj.src = evt.data;\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
"\n",
" var msg = JSON.parse(evt.data);\n",
" var msg_type = msg['type'];\n",
"\n",
" // Call the \"handle_{type}\" callback, which takes\n",
" // the figure and JSON message as its only arguments.\n",
" try {\n",
" var callback = fig[\"handle_\" + msg_type];\n",
" } catch (e) {\n",
" console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
" return;\n",
" }\n",
"\n",
" if (callback) {\n",
" try {\n",
" // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
" callback(fig, msg);\n",
" } catch (e) {\n",
" console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
" }\n",
" }\n",
" };\n",
"}\n",
"\n",
"// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
"mpl.findpos = function(e) {\n",
" //this section is from http://www.quirksmode.org/js/events_properties.html\n",
" var targ;\n",
" if (!e)\n",
" e = window.event;\n",
" if (e.target)\n",
" targ = e.target;\n",
" else if (e.srcElement)\n",
" targ = e.srcElement;\n",
" if (targ.nodeType == 3) // defeat Safari bug\n",
" targ = targ.parentNode;\n",
"\n",
" // jQuery normalizes the pageX and pageY\n",
" // pageX,Y are the mouse positions relative to the document\n",
" // offset() returns the position of the element relative to the document\n",
" var x = e.pageX - $(targ).offset().left;\n",
" var y = e.pageY - $(targ).offset().top;\n",
"\n",
" return {\"x\": x, \"y\": y};\n",
"};\n",
"\n",
"/*\n",
" * return a copy of an object with only non-object keys\n",
" * we need this to avoid circular references\n",
" * http://stackoverflow.com/a/24161582/3208463\n",
" */\n",
"function simpleKeys (original) {\n",
" return Object.keys(original).reduce(function (obj, key) {\n",
" if (typeof original[key] !== 'object')\n",
" obj[key] = original[key]\n",
" return obj;\n",
" }, {});\n",
"}\n",
"\n",
"mpl.figure.prototype.mouse_event = function(event, name) {\n",
" var canvas_pos = mpl.findpos(event)\n",
"\n",
" if (name === 'button_press')\n",
" {\n",
" this.canvas.focus();\n",
" this.canvas_div.focus();\n",
" }\n",
"\n",
" var x = canvas_pos.x * mpl.ratio;\n",
" var y = canvas_pos.y * mpl.ratio;\n",
"\n",
" this.send_message(name, {x: x, y: y, button: event.button,\n",
" step: event.step,\n",
" guiEvent: simpleKeys(event)});\n",
"\n",
" /* This prevents the web browser from automatically changing to\n",
" * the text insertion cursor when the button is pressed. We want\n",
" * to control all of the cursor setting manually through the\n",
" * 'cursor' event from matplotlib */\n",
" event.preventDefault();\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" // Handle any extra behaviour associated with a key event\n",
"}\n",
"\n",
"mpl.figure.prototype.key_event = function(event, name) {\n",
"\n",
" // Prevent repeat events\n",
" if (name == 'key_press')\n",
" {\n",
" if (event.which === this._key)\n",
" return;\n",
" else\n",
" this._key = event.which;\n",
" }\n",
" if (name == 'key_release')\n",
" this._key = null;\n",
"\n",
" var value = '';\n",
" if (event.ctrlKey && event.which != 17)\n",
" value += \"ctrl+\";\n",
" if (event.altKey && event.which != 18)\n",
" value += \"alt+\";\n",
" if (event.shiftKey && event.which != 16)\n",
" value += \"shift+\";\n",
"\n",
" value += 'k';\n",
" value += event.which.toString();\n",
"\n",
" this._key_event_extra(event, name);\n",
"\n",
" this.send_message(name, {key: value,\n",
" guiEvent: simpleKeys(event)});\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
" if (name == 'download') {\n",
" this.handle_save(this, null);\n",
" } else {\n",
" this.send_message(\"toolbar_button\", {name: name});\n",
" }\n",
"};\n",
"\n",
"mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
" this.message.textContent = tooltip;\n",
"};\n",
"mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
"\n",
"mpl.extensions = [\"eps\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\n",
"\n",
"mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
" // Create a \"websocket\"-like object which calls the given IPython comm\n",
" // object with the appropriate methods. Currently this is a non binary\n",
" // socket, so there is still some room for performance tuning.\n",
" var ws = {};\n",
"\n",
" ws.close = function() {\n",
" comm.close()\n",
" };\n",
" ws.send = function(m) {\n",
" //console.log('sending', m);\n",
" comm.send(m);\n",
" };\n",
" // Register the callback with on_msg.\n",
" comm.on_msg(function(msg) {\n",
" //console.log('receiving', msg['content']['data'], msg);\n",
" // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
" ws.onmessage(msg['content']['data'])\n",
" });\n",
" return ws;\n",
"}\n",
"\n",
"mpl.mpl_figure_comm = function(comm, msg) {\n",
" // This is the function which gets called when the mpl process\n",
" // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
"\n",
" var id = msg.content.data.id;\n",
" // Get hold of the div created by the display call when the Comm\n",
" // socket was opened in Python.\n",
" var element = $(\"#\" + id);\n",
" var ws_proxy = comm_websocket_adapter(comm)\n",
"\n",
" function ondownload(figure, format) {\n",
" window.open(figure.imageObj.src);\n",
" }\n",
"\n",
" var fig = new mpl.figure(id, ws_proxy,\n",
" ondownload,\n",
" element.get(0));\n",
"\n",
" // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
" // web socket which is closed, not our websocket->open comm proxy.\n",
" ws_proxy.onopen();\n",
"\n",
" fig.parent_element = element.get(0);\n",
" fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
" if (!fig.cell_info) {\n",
" console.error(\"Failed to find cell for figure\", id, fig);\n",
" return;\n",
" }\n",
"\n",
" var output_index = fig.cell_info[2]\n",
" var cell = fig.cell_info[0];\n",
"\n",
"};\n",
"\n",
"mpl.figure.prototype.handle_close = function(fig, msg) {\n",
" var width = fig.canvas.width/mpl.ratio\n",
" fig.root.unbind('remove')\n",
"\n",
" // Update the output cell to use the data from the current canvas.\n",
" fig.push_to_output();\n",
" var dataURL = fig.canvas.toDataURL();\n",
" // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
" // the notebook keyboard shortcuts fail.\n",
" IPython.keyboard_manager.enable()\n",
" $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
" fig.close_ws(fig, msg);\n",
"}\n",
"\n",
"mpl.figure.prototype.close_ws = function(fig, msg){\n",
" fig.send_message('closing', msg);\n",
" // fig.ws.close()\n",
"}\n",
"\n",
"mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
" // Turn the data on the canvas into data in the output cell.\n",
" var width = this.canvas.width/mpl.ratio\n",
" var dataURL = this.canvas.toDataURL();\n",
" this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Tell IPython that the notebook contents must change.\n",
" IPython.notebook.set_dirty(true);\n",
" this.send_message(\"ack\", {});\n",
" var fig = this;\n",
" // Wait a second, then push the new image to the DOM so\n",
" // that it is saved nicely (might be nice to debounce this).\n",
" setTimeout(function () { fig.push_to_output() }, 1000);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('<div/>')\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items){\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) { continue; };\n",
"\n",
" var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" // Add the status bar.\n",
" var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"\n",
" // Add the close button to the window.\n",
" var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
" var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
" button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
" button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
" buttongrp.append(button);\n",
" var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
" titlebar.prepend(buttongrp);\n",
"}\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(el){\n",
" var fig = this\n",
" el.on(\"remove\", function(){\n",
"\tfig.close_ws(fig, {});\n",
" });\n",
"}\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(el){\n",
" // this is important to make the div 'focusable\n",
" el.attr('tabindex', 0)\n",
" // reach out to IPython and tell the keyboard manager to turn it's self\n",
" // off when our div gets focus\n",
"\n",
" // location in version 3\n",
" if (IPython.notebook.keyboard_manager) {\n",
" IPython.notebook.keyboard_manager.register_events(el);\n",
" }\n",
" else {\n",
" // location in version 2\n",
" IPython.keyboard_manager.register_events(el);\n",
" }\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" var manager = IPython.notebook.keyboard_manager;\n",
" if (!manager)\n",
" manager = IPython.keyboard_manager;\n",
"\n",
" // Check for shift+enter\n",
" if (event.shiftKey && event.which == 13) {\n",
" this.canvas_div.blur();\n",
" event.shiftKey = false;\n",
" // Send a \"J\" for go to next cell\n",
" event.which = 74;\n",
" event.keyCode = 74;\n",
" manager.command_mode();\n",
" manager.handle_keydown(event);\n",
" }\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" fig.ondownload(fig, null);\n",
"}\n",
"\n",
"\n",
"mpl.find_output_cell = function(html_output) {\n",
" // Return the cell and output element which can be found *uniquely* in the notebook.\n",
" // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
" // IPython event is triggered only after the cells have been serialised, which for\n",
" // our purposes (turning an active figure into a static one), is too late.\n",
" var cells = IPython.notebook.get_cells();\n",
" var ncells = cells.length;\n",
" for (var i=0; i<ncells; i++) {\n",
" var cell = cells[i];\n",
" if (cell.cell_type === 'code'){\n",
" for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
" var data = cell.output_area.outputs[j];\n",
" if (data.data) {\n",
" // IPython >= 3 moved mimebundle to data attribute of output\n",
" data = data.data;\n",
" }\n",
" if (data['text/html'] == html_output) {\n",
" return [cell, data, j];\n",
" }\n",
" }\n",
" }\n",
" }\n",
"}\n",
"\n",
"// Register the function which deals with the matplotlib target/channel.\n",
"// The kernel may be null if the page has been refreshed.\n",
"if (IPython.notebook.kernel != null) {\n",
" IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
"}\n"
],
"text/plain": [
"<IPython.core.display.Javascript object>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
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\" width=\"1000\">"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.figure(figsize = (10, 8)) # (15, 10)\n",
"\n",
"for i, season in enumerate(seasons):\n",
" plot_array = seasons[season].SIS\n",
" \n",
" # prepare data\n",
" data = plot_array.T.values\n",
" # theta = np.append(plot_array.aspect_round * np.pi / 180, 2*np.pi) + (0.5 * ASP_ROUND * np.pi / 180)\n",
" theta = plot_array.azimuth * np.pi / 180 - (0.5 * RND * np.pi / 180)\n",
" tilts = plot_array.apparent_zenith\n",
"\n",
" X, Y = np.meshgrid( theta, tilts )\n",
"\n",
" # SET PROPERTIES\n",
" VMIN = None\n",
" VMAX = None\n",
"\n",
" ax = plt.subplot(('22%d' %i), projection='polar')\n",
" ax.set_theta_zero_location('N')\n",
" ax.set_theta_direction(-1)\n",
" ax.set_ylim((0, 90))\n",
" ax.set_title(season)\n",
"\n",
" plt.pcolor(X, Y, data, vmin = VMIN, vmax = VMAX)\n",
" cb = plt.colorbar() # extend = get_cbar_extent( data, VMIN, VMAX )\n",
" cb.set_label('Global solar radiation (W/m2)')\n",
"\n",
" # FORMATTING\n",
" xticks = ['N', 'NE', 'E', 'SE', 'S', 'SW', 'W', 'NW']\n",
" ax.set_xticklabels( xticks )\n",
" # ax.text(10,120, 'Sun zenith')\n",
" ax.set_rlabel_position(20) # get radial labels away from plotted line\n",
" #yticks = [str(int(tilt)) + '°' for tilt in ax.get_yticks()]\n",
" #ax.set_yticklabels( yticks )\n",
"\n",
"plt.tight_layout()\n",
"plt.show()\n",
"# plt.savefig('GHI_seasons_corrected_2deg.png', dpi = 300)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### Plot overall original vs shifted version"
]
},
{
"cell_type": "code",
"execution_count": 113,
"metadata": {},
"outputs": [
{
"data": {
"application/javascript": [
"/* Put everything inside the global mpl namespace */\n",
"window.mpl = {};\n",
"\n",
"\n",
"mpl.get_websocket_type = function() {\n",
" if (typeof(WebSocket) !== 'undefined') {\n",
" return WebSocket;\n",
" } else if (typeof(MozWebSocket) !== 'undefined') {\n",
" return MozWebSocket;\n",
" } else {\n",
" alert('Your browser does not have WebSocket support.' +\n",
" 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
" 'Firefox 4 and 5 are also supported but you ' +\n",
" 'have to enable WebSockets in about:config.');\n",
" };\n",
"}\n",
"\n",
"mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
" this.id = figure_id;\n",
"\n",
" this.ws = websocket;\n",
"\n",
" this.supports_binary = (this.ws.binaryType != undefined);\n",
"\n",
" if (!this.supports_binary) {\n",
" var warnings = document.getElementById(\"mpl-warnings\");\n",
" if (warnings) {\n",
" warnings.style.display = 'block';\n",
" warnings.textContent = (\n",
" \"This browser does not support binary websocket messages. \" +\n",
" \"Performance may be slow.\");\n",
" }\n",
" }\n",
"\n",
" this.imageObj = new Image();\n",
"\n",
" this.context = undefined;\n",
" this.message = undefined;\n",
" this.canvas = undefined;\n",
" this.rubberband_canvas = undefined;\n",
" this.rubberband_context = undefined;\n",
" this.format_dropdown = undefined;\n",
"\n",
" this.image_mode = 'full';\n",
"\n",
" this.root = $('<div/>');\n",
" this._root_extra_style(this.root)\n",
" this.root.attr('style', 'display: inline-block');\n",
"\n",
" $(parent_element).append(this.root);\n",
"\n",
" this._init_header(this);\n",
" this._init_canvas(this);\n",
" this._init_toolbar(this);\n",
"\n",
" var fig = this;\n",
"\n",
" this.waiting = false;\n",
"\n",
" this.ws.onopen = function () {\n",
" fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
" fig.send_message(\"send_image_mode\", {});\n",
" if (mpl.ratio != 1) {\n",
" fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
" }\n",
" fig.send_message(\"refresh\", {});\n",
" }\n",
"\n",
" this.imageObj.onload = function() {\n",
" if (fig.image_mode == 'full') {\n",
" // Full images could contain transparency (where diff images\n",
" // almost always do), so we need to clear the canvas so that\n",
" // there is no ghosting.\n",
" fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
" }\n",
" fig.context.drawImage(fig.imageObj, 0, 0);\n",
" };\n",
"\n",
" this.imageObj.onunload = function() {\n",
" fig.ws.close();\n",
" }\n",
"\n",
" this.ws.onmessage = this._make_on_message_function(this);\n",
"\n",
" this.ondownload = ondownload;\n",
"}\n",
"\n",
"mpl.figure.prototype._init_header = function() {\n",
" var titlebar = $(\n",
" '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
" 'ui-helper-clearfix\"/>');\n",
" var titletext = $(\n",
" '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
" 'text-align: center; padding: 3px;\"/>');\n",
" titlebar.append(titletext)\n",
" this.root.append(titlebar);\n",
" this.header = titletext[0];\n",
"}\n",
"\n",
"\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
"\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._init_canvas = function() {\n",
" var fig = this;\n",
"\n",
" var canvas_div = $('<div/>');\n",
"\n",
" canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
"\n",
" function canvas_keyboard_event(event) {\n",
" return fig.key_event(event, event['data']);\n",
" }\n",
"\n",
" canvas_div.keydown('key_press', canvas_keyboard_event);\n",
" canvas_div.keyup('key_release', canvas_keyboard_event);\n",
" this.canvas_div = canvas_div\n",
" this._canvas_extra_style(canvas_div)\n",
" this.root.append(canvas_div);\n",
"\n",
" var canvas = $('<canvas/>');\n",
" canvas.addClass('mpl-canvas');\n",
" canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
"\n",
" this.canvas = canvas[0];\n",
" this.context = canvas[0].getContext(\"2d\");\n",
"\n",
" var backingStore = this.context.backingStorePixelRatio ||\n",
"\tthis.context.webkitBackingStorePixelRatio ||\n",
"\tthis.context.mozBackingStorePixelRatio ||\n",
"\tthis.context.msBackingStorePixelRatio ||\n",
"\tthis.context.oBackingStorePixelRatio ||\n",
"\tthis.context.backingStorePixelRatio || 1;\n",
"\n",
" mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
"\n",
" var rubberband = $('<canvas/>');\n",
" rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
"\n",
" var pass_mouse_events = true;\n",
"\n",
" canvas_div.resizable({\n",
" start: function(event, ui) {\n",
" pass_mouse_events = false;\n",
" },\n",
" resize: function(event, ui) {\n",
" fig.request_resize(ui.size.width, ui.size.height);\n",
" },\n",
" stop: function(event, ui) {\n",
" pass_mouse_events = true;\n",
" fig.request_resize(ui.size.width, ui.size.height);\n",
" },\n",
" });\n",
"\n",
" function mouse_event_fn(event) {\n",
" if (pass_mouse_events)\n",
" return fig.mouse_event(event, event['data']);\n",
" }\n",
"\n",
" rubberband.mousedown('button_press', mouse_event_fn);\n",
" rubberband.mouseup('button_release', mouse_event_fn);\n",
" // Throttle sequential mouse events to 1 every 20ms.\n",
" rubberband.mousemove('motion_notify', mouse_event_fn);\n",
"\n",
" rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
" rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
"\n",
" canvas_div.on(\"wheel\", function (event) {\n",
" event = event.originalEvent;\n",
" event['data'] = 'scroll'\n",
" if (event.deltaY < 0) {\n",
" event.step = 1;\n",
" } else {\n",
" event.step = -1;\n",
" }\n",
" mouse_event_fn(event);\n",
" });\n",
"\n",
" canvas_div.append(canvas);\n",
" canvas_div.append(rubberband);\n",
"\n",
" this.rubberband = rubberband;\n",
" this.rubberband_canvas = rubberband[0];\n",
" this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
" this.rubberband_context.strokeStyle = \"#000000\";\n",
"\n",
" this._resize_canvas = function(width, height) {\n",
" // Keep the size of the canvas, canvas container, and rubber band\n",
" // canvas in synch.\n",
" canvas_div.css('width', width)\n",
" canvas_div.css('height', height)\n",
"\n",
" canvas.attr('width', width * mpl.ratio);\n",
" canvas.attr('height', height * mpl.ratio);\n",
" canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
"\n",
" rubberband.attr('width', width);\n",
" rubberband.attr('height', height);\n",
" }\n",
"\n",
" // Set the figure to an initial 600x600px, this will subsequently be updated\n",
" // upon first draw.\n",
" this._resize_canvas(600, 600);\n",
"\n",
" // Disable right mouse context menu.\n",
" $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
" return false;\n",
" });\n",
"\n",
" function set_focus () {\n",
" canvas.focus();\n",
" canvas_div.focus();\n",
" }\n",
"\n",
" window.setTimeout(set_focus, 100);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('<div/>')\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items) {\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) {\n",
" // put a spacer in here.\n",
" continue;\n",
" }\n",
" var button = $('<button/>');\n",
" button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
" 'ui-button-icon-only');\n",
" button.attr('role', 'button');\n",
" button.attr('aria-disabled', 'false');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
"\n",
" var icon_img = $('<span/>');\n",
" icon_img.addClass('ui-button-icon-primary ui-icon');\n",
" icon_img.addClass(image);\n",
" icon_img.addClass('ui-corner-all');\n",
"\n",
" var tooltip_span = $('<span/>');\n",
" tooltip_span.addClass('ui-button-text');\n",
" tooltip_span.html(tooltip);\n",
"\n",
" button.append(icon_img);\n",
" button.append(tooltip_span);\n",
"\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" var fmt_picker_span = $('<span/>');\n",
"\n",
" var fmt_picker = $('<select/>');\n",
" fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
" fmt_picker_span.append(fmt_picker);\n",
" nav_element.append(fmt_picker_span);\n",
" this.format_dropdown = fmt_picker[0];\n",
"\n",
" for (var ind in mpl.extensions) {\n",
" var fmt = mpl.extensions[ind];\n",
" var option = $(\n",
" '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
" fmt_picker.append(option)\n",
" }\n",
"\n",
" // Add hover states to the ui-buttons\n",
" $( \".ui-button\" ).hover(\n",
" function() { $(this).addClass(\"ui-state-hover\");},\n",
" function() { $(this).removeClass(\"ui-state-hover\");}\n",
" );\n",
"\n",
" var status_bar = $('<span class=\"mpl-message\"/>');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"}\n",
"\n",
"mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
" // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
" // which will in turn request a refresh of the image.\n",
" this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
"}\n",
"\n",
"mpl.figure.prototype.send_message = function(type, properties) {\n",
" properties['type'] = type;\n",
" properties['figure_id'] = this.id;\n",
" this.ws.send(JSON.stringify(properties));\n",
"}\n",
"\n",
"mpl.figure.prototype.send_draw_message = function() {\n",
" if (!this.waiting) {\n",
" this.waiting = true;\n",
" this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
" }\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" var format_dropdown = fig.format_dropdown;\n",
" var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
" fig.ondownload(fig, format);\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
" var size = msg['size'];\n",
" if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
" fig._resize_canvas(size[0], size[1]);\n",
" fig.send_message(\"refresh\", {});\n",
" };\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
" var x0 = msg['x0'] / mpl.ratio;\n",
" var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
" var x1 = msg['x1'] / mpl.ratio;\n",
" var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
" x0 = Math.floor(x0) + 0.5;\n",
" y0 = Math.floor(y0) + 0.5;\n",
" x1 = Math.floor(x1) + 0.5;\n",
" y1 = Math.floor(y1) + 0.5;\n",
" var min_x = Math.min(x0, x1);\n",
" var min_y = Math.min(y0, y1);\n",
" var width = Math.abs(x1 - x0);\n",
" var height = Math.abs(y1 - y0);\n",
"\n",
" fig.rubberband_context.clearRect(\n",
" 0, 0, fig.canvas.width, fig.canvas.height);\n",
"\n",
" fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
" // Updates the figure title.\n",
" fig.header.textContent = msg['label'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
" var cursor = msg['cursor'];\n",
" switch(cursor)\n",
" {\n",
" case 0:\n",
" cursor = 'pointer';\n",
" break;\n",
" case 1:\n",
" cursor = 'default';\n",
" break;\n",
" case 2:\n",
" cursor = 'crosshair';\n",
" break;\n",
" case 3:\n",
" cursor = 'move';\n",
" break;\n",
" }\n",
" fig.rubberband_canvas.style.cursor = cursor;\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_message = function(fig, msg) {\n",
" fig.message.textContent = msg['message'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
" // Request the server to send over a new figure.\n",
" fig.send_draw_message();\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
" fig.image_mode = msg['mode'];\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Called whenever the canvas gets updated.\n",
" this.send_message(\"ack\", {});\n",
"}\n",
"\n",
"// A function to construct a web socket function for onmessage handling.\n",
"// Called in the figure constructor.\n",
"mpl.figure.prototype._make_on_message_function = function(fig) {\n",
" return function socket_on_message(evt) {\n",
" if (evt.data instanceof Blob) {\n",
" /* FIXME: We get \"Resource interpreted as Image but\n",
" * transferred with MIME type text/plain:\" errors on\n",
" * Chrome. But how to set the MIME type? It doesn't seem\n",
" * to be part of the websocket stream */\n",
" evt.data.type = \"image/png\";\n",
"\n",
" /* Free the memory for the previous frames */\n",
" if (fig.imageObj.src) {\n",
" (window.URL || window.webkitURL).revokeObjectURL(\n",
" fig.imageObj.src);\n",
" }\n",
"\n",
" fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
" evt.data);\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
" else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
" fig.imageObj.src = evt.data;\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
"\n",
" var msg = JSON.parse(evt.data);\n",
" var msg_type = msg['type'];\n",
"\n",
" // Call the \"handle_{type}\" callback, which takes\n",
" // the figure and JSON message as its only arguments.\n",
" try {\n",
" var callback = fig[\"handle_\" + msg_type];\n",
" } catch (e) {\n",
" console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
" return;\n",
" }\n",
"\n",
" if (callback) {\n",
" try {\n",
" // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
" callback(fig, msg);\n",
" } catch (e) {\n",
" console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
" }\n",
" }\n",
" };\n",
"}\n",
"\n",
"// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
"mpl.findpos = function(e) {\n",
" //this section is from http://www.quirksmode.org/js/events_properties.html\n",
" var targ;\n",
" if (!e)\n",
" e = window.event;\n",
" if (e.target)\n",
" targ = e.target;\n",
" else if (e.srcElement)\n",
" targ = e.srcElement;\n",
" if (targ.nodeType == 3) // defeat Safari bug\n",
" targ = targ.parentNode;\n",
"\n",
" // jQuery normalizes the pageX and pageY\n",
" // pageX,Y are the mouse positions relative to the document\n",
" // offset() returns the position of the element relative to the document\n",
" var x = e.pageX - $(targ).offset().left;\n",
" var y = e.pageY - $(targ).offset().top;\n",
"\n",
" return {\"x\": x, \"y\": y};\n",
"};\n",
"\n",
"/*\n",
" * return a copy of an object with only non-object keys\n",
" * we need this to avoid circular references\n",
" * http://stackoverflow.com/a/24161582/3208463\n",
" */\n",
"function simpleKeys (original) {\n",
" return Object.keys(original).reduce(function (obj, key) {\n",
" if (typeof original[key] !== 'object')\n",
" obj[key] = original[key]\n",
" return obj;\n",
" }, {});\n",
"}\n",
"\n",
"mpl.figure.prototype.mouse_event = function(event, name) {\n",
" var canvas_pos = mpl.findpos(event)\n",
"\n",
" if (name === 'button_press')\n",
" {\n",
" this.canvas.focus();\n",
" this.canvas_div.focus();\n",
" }\n",
"\n",
" var x = canvas_pos.x * mpl.ratio;\n",
" var y = canvas_pos.y * mpl.ratio;\n",
"\n",
" this.send_message(name, {x: x, y: y, button: event.button,\n",
" step: event.step,\n",
" guiEvent: simpleKeys(event)});\n",
"\n",
" /* This prevents the web browser from automatically changing to\n",
" * the text insertion cursor when the button is pressed. We want\n",
" * to control all of the cursor setting manually through the\n",
" * 'cursor' event from matplotlib */\n",
" event.preventDefault();\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" // Handle any extra behaviour associated with a key event\n",
"}\n",
"\n",
"mpl.figure.prototype.key_event = function(event, name) {\n",
"\n",
" // Prevent repeat events\n",
" if (name == 'key_press')\n",
" {\n",
" if (event.which === this._key)\n",
" return;\n",
" else\n",
" this._key = event.which;\n",
" }\n",
" if (name == 'key_release')\n",
" this._key = null;\n",
"\n",
" var value = '';\n",
" if (event.ctrlKey && event.which != 17)\n",
" value += \"ctrl+\";\n",
" if (event.altKey && event.which != 18)\n",
" value += \"alt+\";\n",
" if (event.shiftKey && event.which != 16)\n",
" value += \"shift+\";\n",
"\n",
" value += 'k';\n",
" value += event.which.toString();\n",
"\n",
" this._key_event_extra(event, name);\n",
"\n",
" this.send_message(name, {key: value,\n",
" guiEvent: simpleKeys(event)});\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
" if (name == 'download') {\n",
" this.handle_save(this, null);\n",
" } else {\n",
" this.send_message(\"toolbar_button\", {name: name});\n",
" }\n",
"};\n",
"\n",
"mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
" this.message.textContent = tooltip;\n",
"};\n",
"mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
"\n",
"mpl.extensions = [\"eps\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\n",
"\n",
"mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
" // Create a \"websocket\"-like object which calls the given IPython comm\n",
" // object with the appropriate methods. Currently this is a non binary\n",
" // socket, so there is still some room for performance tuning.\n",
" var ws = {};\n",
"\n",
" ws.close = function() {\n",
" comm.close()\n",
" };\n",
" ws.send = function(m) {\n",
" //console.log('sending', m);\n",
" comm.send(m);\n",
" };\n",
" // Register the callback with on_msg.\n",
" comm.on_msg(function(msg) {\n",
" //console.log('receiving', msg['content']['data'], msg);\n",
" // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
" ws.onmessage(msg['content']['data'])\n",
" });\n",
" return ws;\n",
"}\n",
"\n",
"mpl.mpl_figure_comm = function(comm, msg) {\n",
" // This is the function which gets called when the mpl process\n",
" // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
"\n",
" var id = msg.content.data.id;\n",
" // Get hold of the div created by the display call when the Comm\n",
" // socket was opened in Python.\n",
" var element = $(\"#\" + id);\n",
" var ws_proxy = comm_websocket_adapter(comm)\n",
"\n",
" function ondownload(figure, format) {\n",
" window.open(figure.imageObj.src);\n",
" }\n",
"\n",
" var fig = new mpl.figure(id, ws_proxy,\n",
" ondownload,\n",
" element.get(0));\n",
"\n",
" // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
" // web socket which is closed, not our websocket->open comm proxy.\n",
" ws_proxy.onopen();\n",
"\n",
" fig.parent_element = element.get(0);\n",
" fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
" if (!fig.cell_info) {\n",
" console.error(\"Failed to find cell for figure\", id, fig);\n",
" return;\n",
" }\n",
"\n",
" var output_index = fig.cell_info[2]\n",
" var cell = fig.cell_info[0];\n",
"\n",
"};\n",
"\n",
"mpl.figure.prototype.handle_close = function(fig, msg) {\n",
" var width = fig.canvas.width/mpl.ratio\n",
" fig.root.unbind('remove')\n",
"\n",
" // Update the output cell to use the data from the current canvas.\n",
" fig.push_to_output();\n",
" var dataURL = fig.canvas.toDataURL();\n",
" // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
" // the notebook keyboard shortcuts fail.\n",
" IPython.keyboard_manager.enable()\n",
" $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
" fig.close_ws(fig, msg);\n",
"}\n",
"\n",
"mpl.figure.prototype.close_ws = function(fig, msg){\n",
" fig.send_message('closing', msg);\n",
" // fig.ws.close()\n",
"}\n",
"\n",
"mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
" // Turn the data on the canvas into data in the output cell.\n",
" var width = this.canvas.width/mpl.ratio\n",
" var dataURL = this.canvas.toDataURL();\n",
" this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Tell IPython that the notebook contents must change.\n",
" IPython.notebook.set_dirty(true);\n",
" this.send_message(\"ack\", {});\n",
" var fig = this;\n",
" // Wait a second, then push the new image to the DOM so\n",
" // that it is saved nicely (might be nice to debounce this).\n",
" setTimeout(function () { fig.push_to_output() }, 1000);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('<div/>')\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items){\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) { continue; };\n",
"\n",
" var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" // Add the status bar.\n",
" var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"\n",
" // Add the close button to the window.\n",
" var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
" var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
" button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
" button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
" buttongrp.append(button);\n",
" var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
" titlebar.prepend(buttongrp);\n",
"}\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(el){\n",
" var fig = this\n",
" el.on(\"remove\", function(){\n",
"\tfig.close_ws(fig, {});\n",
" });\n",
"}\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(el){\n",
" // this is important to make the div 'focusable\n",
" el.attr('tabindex', 0)\n",
" // reach out to IPython and tell the keyboard manager to turn it's self\n",
" // off when our div gets focus\n",
"\n",
" // location in version 3\n",
" if (IPython.notebook.keyboard_manager) {\n",
" IPython.notebook.keyboard_manager.register_events(el);\n",
" }\n",
" else {\n",
" // location in version 2\n",
" IPython.keyboard_manager.register_events(el);\n",
" }\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" var manager = IPython.notebook.keyboard_manager;\n",
" if (!manager)\n",
" manager = IPython.keyboard_manager;\n",
"\n",
" // Check for shift+enter\n",
" if (event.shiftKey && event.which == 13) {\n",
" this.canvas_div.blur();\n",
" event.shiftKey = false;\n",
" // Send a \"J\" for go to next cell\n",
" event.which = 74;\n",
" event.keyCode = 74;\n",
" manager.command_mode();\n",
" manager.handle_keydown(event);\n",
" }\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" fig.ondownload(fig, null);\n",
"}\n",
"\n",
"\n",
"mpl.find_output_cell = function(html_output) {\n",
" // Return the cell and output element which can be found *uniquely* in the notebook.\n",
" // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
" // IPython event is triggered only after the cells have been serialised, which for\n",
" // our purposes (turning an active figure into a static one), is too late.\n",
" var cells = IPython.notebook.get_cells();\n",
" var ncells = cells.length;\n",
" for (var i=0; i<ncells; i++) {\n",
" var cell = cells[i];\n",
" if (cell.cell_type === 'code'){\n",
" for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
" var data = cell.output_area.outputs[j];\n",
" if (data.data) {\n",
" // IPython >= 3 moved mimebundle to data attribute of output\n",
" data = data.data;\n",
" }\n",
" if (data['text/html'] == html_output) {\n",
" return [cell, data, j];\n",
" }\n",
" }\n",
" }\n",
" }\n",
"}\n",
"\n",
"// Register the function which deals with the matplotlib target/channel.\n",
"// The kernel may be null if the page has been refreshed.\n",
"if (IPython.notebook.kernel != null) {\n",
" IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
"}\n"
],
"text/plain": [
"<IPython.core.display.Javascript object>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
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\" width=\"1000\">"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.figure(figsize = (10, 5)) # (15, 5)\n",
"\n",
"plot_array = SIS_grouped.SIS\n",
"\n",
"# prepare data\n",
"data = plot_array.T.values\n",
"# theta = np.append(plot_array.aspect_round * np.pi / 180, 2*np.pi) + (0.5 * ASP_ROUND * np.pi / 180)\n",
"theta = plot_array.azimuth * np.pi / 180 - (0.5 * RND * np.pi / 180)\n",
"tilts = plot_array.apparent_zenith\n",
"\n",
"X, Y = np.meshgrid( theta, tilts )\n",
"\n",
"# SET PROPERTIES\n",
"VMIN = None\n",
"VMAX = None\n",
" \n",
"ax = plt.subplot('121', projection='polar')\n",
"ax.set_theta_zero_location('N')\n",
"ax.set_theta_direction(-1)\n",
"ax.set_ylim((0, 90))\n",
"ax.set_title('Original time')\n",
"\n",
"plt.pcolor(X, Y, data, vmin = VMIN, vmax = VMAX)\n",
"cb = plt.colorbar() # extend = get_cbar_extent( data, VMIN, VMAX )\n",
"cb.set_label('Global solar radiation (W/m2)')\n",
"\n",
"# FORMATTING\n",
"xticks = ['N', 'NE', 'E', 'SE', 'S', 'SW', 'W', 'NW']\n",
"ax.set_xticklabels( xticks )\n",
"# ax.text(10,120, 'Sun zenith')\n",
"ax.set_rlabel_position(20) # get radial labels away from plotted line\n",
"yticks = [str(int(tilt)) + '°' for tilt in ax.get_yticks()]\n",
"ax.set_yticklabels( yticks )\n",
"\n",
"\n",
"plot_array = SIS_corrected_grouped.SIS\n",
"\n",
"# prepare data\n",
"data = plot_array.T.values\n",
"# theta = np.append(plot_array.aspect_round * np.pi / 180, 2*np.pi) + (0.5 * ASP_ROUND * np.pi / 180)\n",
"theta = plot_array.azimuth * np.pi / 180 - (0.5 * RND * np.pi / 180)\n",
"tilts = plot_array.apparent_zenith\n",
"\n",
"X, Y = np.meshgrid( theta, tilts )\n",
"\n",
"# SET PROPERTIES\n",
"VMIN = None\n",
"VMAX = None\n",
" \n",
"ax = plt.subplot('122', projection='polar')\n",
"ax.set_theta_zero_location('N')\n",
"ax.set_theta_direction(-1)\n",
"ax.set_ylim((0, 90))\n",
"ax.set_title('Corrected time (shifted by 30 min.)')\n",
"\n",
"plt.pcolor(X, Y, data, vmin = VMIN, vmax = VMAX)\n",
"cb = plt.colorbar() # extend = get_cbar_extent( data, VMIN, VMAX )\n",
"cb.set_label('Global solar radiation (W/m2)')\n",
"\n",
"# FORMATTING\n",
"xticks = ['N', 'NE', 'E', 'SE', 'S', 'SW', 'W', 'NW']\n",
"ax.set_xticklabels( xticks )\n",
"# ax.text(10,120, 'Sun zenith')\n",
"ax.set_rlabel_position(20) # get radial labels away from plotted line\n",
"yticks = [str(int(tilt)) + '°' for tilt in ax.get_yticks()]\n",
"ax.set_yticklabels( yticks )\n",
"\n",
"plt.tight_layout()\n",
"plt.show()\n",
"#plt.savefig('GHI_correction_compare_2deg.png', dpi = 300)"
]
},
{
"cell_type": "code",
"execution_count": 92,
"metadata": {},
"outputs": [
{
"data": {
"application/javascript": [
"/* Put everything inside the global mpl namespace */\n",
"window.mpl = {};\n",
"\n",
"\n",
"mpl.get_websocket_type = function() {\n",
" if (typeof(WebSocket) !== 'undefined') {\n",
" return WebSocket;\n",
" } else if (typeof(MozWebSocket) !== 'undefined') {\n",
" return MozWebSocket;\n",
" } else {\n",
" alert('Your browser does not have WebSocket support.' +\n",
" 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
" 'Firefox 4 and 5 are also supported but you ' +\n",
" 'have to enable WebSockets in about:config.');\n",
" };\n",
"}\n",
"\n",
"mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
" this.id = figure_id;\n",
"\n",
" this.ws = websocket;\n",
"\n",
" this.supports_binary = (this.ws.binaryType != undefined);\n",
"\n",
" if (!this.supports_binary) {\n",
" var warnings = document.getElementById(\"mpl-warnings\");\n",
" if (warnings) {\n",
" warnings.style.display = 'block';\n",
" warnings.textContent = (\n",
" \"This browser does not support binary websocket messages. \" +\n",
" \"Performance may be slow.\");\n",
" }\n",
" }\n",
"\n",
" this.imageObj = new Image();\n",
"\n",
" this.context = undefined;\n",
" this.message = undefined;\n",
" this.canvas = undefined;\n",
" this.rubberband_canvas = undefined;\n",
" this.rubberband_context = undefined;\n",
" this.format_dropdown = undefined;\n",
"\n",
" this.image_mode = 'full';\n",
"\n",
" this.root = $('<div/>');\n",
" this._root_extra_style(this.root)\n",
" this.root.attr('style', 'display: inline-block');\n",
"\n",
" $(parent_element).append(this.root);\n",
"\n",
" this._init_header(this);\n",
" this._init_canvas(this);\n",
" this._init_toolbar(this);\n",
"\n",
" var fig = this;\n",
"\n",
" this.waiting = false;\n",
"\n",
" this.ws.onopen = function () {\n",
" fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
" fig.send_message(\"send_image_mode\", {});\n",
" if (mpl.ratio != 1) {\n",
" fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
" }\n",
" fig.send_message(\"refresh\", {});\n",
" }\n",
"\n",
" this.imageObj.onload = function() {\n",
" if (fig.image_mode == 'full') {\n",
" // Full images could contain transparency (where diff images\n",
" // almost always do), so we need to clear the canvas so that\n",
" // there is no ghosting.\n",
" fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
" }\n",
" fig.context.drawImage(fig.imageObj, 0, 0);\n",
" };\n",
"\n",
" this.imageObj.onunload = function() {\n",
" fig.ws.close();\n",
" }\n",
"\n",
" this.ws.onmessage = this._make_on_message_function(this);\n",
"\n",
" this.ondownload = ondownload;\n",
"}\n",
"\n",
"mpl.figure.prototype._init_header = function() {\n",
" var titlebar = $(\n",
" '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
" 'ui-helper-clearfix\"/>');\n",
" var titletext = $(\n",
" '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
" 'text-align: center; padding: 3px;\"/>');\n",
" titlebar.append(titletext)\n",
" this.root.append(titlebar);\n",
" this.header = titletext[0];\n",
"}\n",
"\n",
"\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
"\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._init_canvas = function() {\n",
" var fig = this;\n",
"\n",
" var canvas_div = $('<div/>');\n",
"\n",
" canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
"\n",
" function canvas_keyboard_event(event) {\n",
" return fig.key_event(event, event['data']);\n",
" }\n",
"\n",
" canvas_div.keydown('key_press', canvas_keyboard_event);\n",
" canvas_div.keyup('key_release', canvas_keyboard_event);\n",
" this.canvas_div = canvas_div\n",
" this._canvas_extra_style(canvas_div)\n",
" this.root.append(canvas_div);\n",
"\n",
" var canvas = $('<canvas/>');\n",
" canvas.addClass('mpl-canvas');\n",
" canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
"\n",
" this.canvas = canvas[0];\n",
" this.context = canvas[0].getContext(\"2d\");\n",
"\n",
" var backingStore = this.context.backingStorePixelRatio ||\n",
"\tthis.context.webkitBackingStorePixelRatio ||\n",
"\tthis.context.mozBackingStorePixelRatio ||\n",
"\tthis.context.msBackingStorePixelRatio ||\n",
"\tthis.context.oBackingStorePixelRatio ||\n",
"\tthis.context.backingStorePixelRatio || 1;\n",
"\n",
" mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
"\n",
" var rubberband = $('<canvas/>');\n",
" rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
"\n",
" var pass_mouse_events = true;\n",
"\n",
" canvas_div.resizable({\n",
" start: function(event, ui) {\n",
" pass_mouse_events = false;\n",
" },\n",
" resize: function(event, ui) {\n",
" fig.request_resize(ui.size.width, ui.size.height);\n",
" },\n",
" stop: function(event, ui) {\n",
" pass_mouse_events = true;\n",
" fig.request_resize(ui.size.width, ui.size.height);\n",
" },\n",
" });\n",
"\n",
" function mouse_event_fn(event) {\n",
" if (pass_mouse_events)\n",
" return fig.mouse_event(event, event['data']);\n",
" }\n",
"\n",
" rubberband.mousedown('button_press', mouse_event_fn);\n",
" rubberband.mouseup('button_release', mouse_event_fn);\n",
" // Throttle sequential mouse events to 1 every 20ms.\n",
" rubberband.mousemove('motion_notify', mouse_event_fn);\n",
"\n",
" rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
" rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
"\n",
" canvas_div.on(\"wheel\", function (event) {\n",
" event = event.originalEvent;\n",
" event['data'] = 'scroll'\n",
" if (event.deltaY < 0) {\n",
" event.step = 1;\n",
" } else {\n",
" event.step = -1;\n",
" }\n",
" mouse_event_fn(event);\n",
" });\n",
"\n",
" canvas_div.append(canvas);\n",
" canvas_div.append(rubberband);\n",
"\n",
" this.rubberband = rubberband;\n",
" this.rubberband_canvas = rubberband[0];\n",
" this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
" this.rubberband_context.strokeStyle = \"#000000\";\n",
"\n",
" this._resize_canvas = function(width, height) {\n",
" // Keep the size of the canvas, canvas container, and rubber band\n",
" // canvas in synch.\n",
" canvas_div.css('width', width)\n",
" canvas_div.css('height', height)\n",
"\n",
" canvas.attr('width', width * mpl.ratio);\n",
" canvas.attr('height', height * mpl.ratio);\n",
" canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
"\n",
" rubberband.attr('width', width);\n",
" rubberband.attr('height', height);\n",
" }\n",
"\n",
" // Set the figure to an initial 600x600px, this will subsequently be updated\n",
" // upon first draw.\n",
" this._resize_canvas(600, 600);\n",
"\n",
" // Disable right mouse context menu.\n",
" $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
" return false;\n",
" });\n",
"\n",
" function set_focus () {\n",
" canvas.focus();\n",
" canvas_div.focus();\n",
" }\n",
"\n",
" window.setTimeout(set_focus, 100);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('<div/>')\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items) {\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) {\n",
" // put a spacer in here.\n",
" continue;\n",
" }\n",
" var button = $('<button/>');\n",
" button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
" 'ui-button-icon-only');\n",
" button.attr('role', 'button');\n",
" button.attr('aria-disabled', 'false');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
"\n",
" var icon_img = $('<span/>');\n",
" icon_img.addClass('ui-button-icon-primary ui-icon');\n",
" icon_img.addClass(image);\n",
" icon_img.addClass('ui-corner-all');\n",
"\n",
" var tooltip_span = $('<span/>');\n",
" tooltip_span.addClass('ui-button-text');\n",
" tooltip_span.html(tooltip);\n",
"\n",
" button.append(icon_img);\n",
" button.append(tooltip_span);\n",
"\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" var fmt_picker_span = $('<span/>');\n",
"\n",
" var fmt_picker = $('<select/>');\n",
" fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
" fmt_picker_span.append(fmt_picker);\n",
" nav_element.append(fmt_picker_span);\n",
" this.format_dropdown = fmt_picker[0];\n",
"\n",
" for (var ind in mpl.extensions) {\n",
" var fmt = mpl.extensions[ind];\n",
" var option = $(\n",
" '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
" fmt_picker.append(option)\n",
" }\n",
"\n",
" // Add hover states to the ui-buttons\n",
" $( \".ui-button\" ).hover(\n",
" function() { $(this).addClass(\"ui-state-hover\");},\n",
" function() { $(this).removeClass(\"ui-state-hover\");}\n",
" );\n",
"\n",
" var status_bar = $('<span class=\"mpl-message\"/>');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"}\n",
"\n",
"mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
" // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
" // which will in turn request a refresh of the image.\n",
" this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
"}\n",
"\n",
"mpl.figure.prototype.send_message = function(type, properties) {\n",
" properties['type'] = type;\n",
" properties['figure_id'] = this.id;\n",
" this.ws.send(JSON.stringify(properties));\n",
"}\n",
"\n",
"mpl.figure.prototype.send_draw_message = function() {\n",
" if (!this.waiting) {\n",
" this.waiting = true;\n",
" this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
" }\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" var format_dropdown = fig.format_dropdown;\n",
" var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
" fig.ondownload(fig, format);\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
" var size = msg['size'];\n",
" if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
" fig._resize_canvas(size[0], size[1]);\n",
" fig.send_message(\"refresh\", {});\n",
" };\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
" var x0 = msg['x0'] / mpl.ratio;\n",
" var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
" var x1 = msg['x1'] / mpl.ratio;\n",
" var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
" x0 = Math.floor(x0) + 0.5;\n",
" y0 = Math.floor(y0) + 0.5;\n",
" x1 = Math.floor(x1) + 0.5;\n",
" y1 = Math.floor(y1) + 0.5;\n",
" var min_x = Math.min(x0, x1);\n",
" var min_y = Math.min(y0, y1);\n",
" var width = Math.abs(x1 - x0);\n",
" var height = Math.abs(y1 - y0);\n",
"\n",
" fig.rubberband_context.clearRect(\n",
" 0, 0, fig.canvas.width, fig.canvas.height);\n",
"\n",
" fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
" // Updates the figure title.\n",
" fig.header.textContent = msg['label'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
" var cursor = msg['cursor'];\n",
" switch(cursor)\n",
" {\n",
" case 0:\n",
" cursor = 'pointer';\n",
" break;\n",
" case 1:\n",
" cursor = 'default';\n",
" break;\n",
" case 2:\n",
" cursor = 'crosshair';\n",
" break;\n",
" case 3:\n",
" cursor = 'move';\n",
" break;\n",
" }\n",
" fig.rubberband_canvas.style.cursor = cursor;\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_message = function(fig, msg) {\n",
" fig.message.textContent = msg['message'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
" // Request the server to send over a new figure.\n",
" fig.send_draw_message();\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
" fig.image_mode = msg['mode'];\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Called whenever the canvas gets updated.\n",
" this.send_message(\"ack\", {});\n",
"}\n",
"\n",
"// A function to construct a web socket function for onmessage handling.\n",
"// Called in the figure constructor.\n",
"mpl.figure.prototype._make_on_message_function = function(fig) {\n",
" return function socket_on_message(evt) {\n",
" if (evt.data instanceof Blob) {\n",
" /* FIXME: We get \"Resource interpreted as Image but\n",
" * transferred with MIME type text/plain:\" errors on\n",
" * Chrome. But how to set the MIME type? It doesn't seem\n",
" * to be part of the websocket stream */\n",
" evt.data.type = \"image/png\";\n",
"\n",
" /* Free the memory for the previous frames */\n",
" if (fig.imageObj.src) {\n",
" (window.URL || window.webkitURL).revokeObjectURL(\n",
" fig.imageObj.src);\n",
" }\n",
"\n",
" fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
" evt.data);\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
" else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
" fig.imageObj.src = evt.data;\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
"\n",
" var msg = JSON.parse(evt.data);\n",
" var msg_type = msg['type'];\n",
"\n",
" // Call the \"handle_{type}\" callback, which takes\n",
" // the figure and JSON message as its only arguments.\n",
" try {\n",
" var callback = fig[\"handle_\" + msg_type];\n",
" } catch (e) {\n",
" console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
" return;\n",
" }\n",
"\n",
" if (callback) {\n",
" try {\n",
" // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
" callback(fig, msg);\n",
" } catch (e) {\n",
" console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
" }\n",
" }\n",
" };\n",
"}\n",
"\n",
"// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
"mpl.findpos = function(e) {\n",
" //this section is from http://www.quirksmode.org/js/events_properties.html\n",
" var targ;\n",
" if (!e)\n",
" e = window.event;\n",
" if (e.target)\n",
" targ = e.target;\n",
" else if (e.srcElement)\n",
" targ = e.srcElement;\n",
" if (targ.nodeType == 3) // defeat Safari bug\n",
" targ = targ.parentNode;\n",
"\n",
" // jQuery normalizes the pageX and pageY\n",
" // pageX,Y are the mouse positions relative to the document\n",
" // offset() returns the position of the element relative to the document\n",
" var x = e.pageX - $(targ).offset().left;\n",
" var y = e.pageY - $(targ).offset().top;\n",
"\n",
" return {\"x\": x, \"y\": y};\n",
"};\n",
"\n",
"/*\n",
" * return a copy of an object with only non-object keys\n",
" * we need this to avoid circular references\n",
" * http://stackoverflow.com/a/24161582/3208463\n",
" */\n",
"function simpleKeys (original) {\n",
" return Object.keys(original).reduce(function (obj, key) {\n",
" if (typeof original[key] !== 'object')\n",
" obj[key] = original[key]\n",
" return obj;\n",
" }, {});\n",
"}\n",
"\n",
"mpl.figure.prototype.mouse_event = function(event, name) {\n",
" var canvas_pos = mpl.findpos(event)\n",
"\n",
" if (name === 'button_press')\n",
" {\n",
" this.canvas.focus();\n",
" this.canvas_div.focus();\n",
" }\n",
"\n",
" var x = canvas_pos.x * mpl.ratio;\n",
" var y = canvas_pos.y * mpl.ratio;\n",
"\n",
" this.send_message(name, {x: x, y: y, button: event.button,\n",
" step: event.step,\n",
" guiEvent: simpleKeys(event)});\n",
"\n",
" /* This prevents the web browser from automatically changing to\n",
" * the text insertion cursor when the button is pressed. We want\n",
" * to control all of the cursor setting manually through the\n",
" * 'cursor' event from matplotlib */\n",
" event.preventDefault();\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" // Handle any extra behaviour associated with a key event\n",
"}\n",
"\n",
"mpl.figure.prototype.key_event = function(event, name) {\n",
"\n",
" // Prevent repeat events\n",
" if (name == 'key_press')\n",
" {\n",
" if (event.which === this._key)\n",
" return;\n",
" else\n",
" this._key = event.which;\n",
" }\n",
" if (name == 'key_release')\n",
" this._key = null;\n",
"\n",
" var value = '';\n",
" if (event.ctrlKey && event.which != 17)\n",
" value += \"ctrl+\";\n",
" if (event.altKey && event.which != 18)\n",
" value += \"alt+\";\n",
" if (event.shiftKey && event.which != 16)\n",
" value += \"shift+\";\n",
"\n",
" value += 'k';\n",
" value += event.which.toString();\n",
"\n",
" this._key_event_extra(event, name);\n",
"\n",
" this.send_message(name, {key: value,\n",
" guiEvent: simpleKeys(event)});\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
" if (name == 'download') {\n",
" this.handle_save(this, null);\n",
" } else {\n",
" this.send_message(\"toolbar_button\", {name: name});\n",
" }\n",
"};\n",
"\n",
"mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
" this.message.textContent = tooltip;\n",
"};\n",
"mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
"\n",
"mpl.extensions = [\"eps\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\n",
"\n",
"mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
" // Create a \"websocket\"-like object which calls the given IPython comm\n",
" // object with the appropriate methods. Currently this is a non binary\n",
" // socket, so there is still some room for performance tuning.\n",
" var ws = {};\n",
"\n",
" ws.close = function() {\n",
" comm.close()\n",
" };\n",
" ws.send = function(m) {\n",
" //console.log('sending', m);\n",
" comm.send(m);\n",
" };\n",
" // Register the callback with on_msg.\n",
" comm.on_msg(function(msg) {\n",
" //console.log('receiving', msg['content']['data'], msg);\n",
" // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
" ws.onmessage(msg['content']['data'])\n",
" });\n",
" return ws;\n",
"}\n",
"\n",
"mpl.mpl_figure_comm = function(comm, msg) {\n",
" // This is the function which gets called when the mpl process\n",
" // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
"\n",
" var id = msg.content.data.id;\n",
" // Get hold of the div created by the display call when the Comm\n",
" // socket was opened in Python.\n",
" var element = $(\"#\" + id);\n",
" var ws_proxy = comm_websocket_adapter(comm)\n",
"\n",
" function ondownload(figure, format) {\n",
" window.open(figure.imageObj.src);\n",
" }\n",
"\n",
" var fig = new mpl.figure(id, ws_proxy,\n",
" ondownload,\n",
" element.get(0));\n",
"\n",
" // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
" // web socket which is closed, not our websocket->open comm proxy.\n",
" ws_proxy.onopen();\n",
"\n",
" fig.parent_element = element.get(0);\n",
" fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
" if (!fig.cell_info) {\n",
" console.error(\"Failed to find cell for figure\", id, fig);\n",
" return;\n",
" }\n",
"\n",
" var output_index = fig.cell_info[2]\n",
" var cell = fig.cell_info[0];\n",
"\n",
"};\n",
"\n",
"mpl.figure.prototype.handle_close = function(fig, msg) {\n",
" var width = fig.canvas.width/mpl.ratio\n",
" fig.root.unbind('remove')\n",
"\n",
" // Update the output cell to use the data from the current canvas.\n",
" fig.push_to_output();\n",
" var dataURL = fig.canvas.toDataURL();\n",
" // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
" // the notebook keyboard shortcuts fail.\n",
" IPython.keyboard_manager.enable()\n",
" $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
" fig.close_ws(fig, msg);\n",
"}\n",
"\n",
"mpl.figure.prototype.close_ws = function(fig, msg){\n",
" fig.send_message('closing', msg);\n",
" // fig.ws.close()\n",
"}\n",
"\n",
"mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
" // Turn the data on the canvas into data in the output cell.\n",
" var width = this.canvas.width/mpl.ratio\n",
" var dataURL = this.canvas.toDataURL();\n",
" this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Tell IPython that the notebook contents must change.\n",
" IPython.notebook.set_dirty(true);\n",
" this.send_message(\"ack\", {});\n",
" var fig = this;\n",
" // Wait a second, then push the new image to the DOM so\n",
" // that it is saved nicely (might be nice to debounce this).\n",
" setTimeout(function () { fig.push_to_output() }, 1000);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('<div/>')\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items){\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) { continue; };\n",
"\n",
" var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" // Add the status bar.\n",
" var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"\n",
" // Add the close button to the window.\n",
" var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
" var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
" button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
" button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
" buttongrp.append(button);\n",
" var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
" titlebar.prepend(buttongrp);\n",
"}\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(el){\n",
" var fig = this\n",
" el.on(\"remove\", function(){\n",
"\tfig.close_ws(fig, {});\n",
" });\n",
"}\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(el){\n",
" // this is important to make the div 'focusable\n",
" el.attr('tabindex', 0)\n",
" // reach out to IPython and tell the keyboard manager to turn it's self\n",
" // off when our div gets focus\n",
"\n",
" // location in version 3\n",
" if (IPython.notebook.keyboard_manager) {\n",
" IPython.notebook.keyboard_manager.register_events(el);\n",
" }\n",
" else {\n",
" // location in version 2\n",
" IPython.keyboard_manager.register_events(el);\n",
" }\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" var manager = IPython.notebook.keyboard_manager;\n",
" if (!manager)\n",
" manager = IPython.keyboard_manager;\n",
"\n",
" // Check for shift+enter\n",
" if (event.shiftKey && event.which == 13) {\n",
" this.canvas_div.blur();\n",
" event.shiftKey = false;\n",
" // Send a \"J\" for go to next cell\n",
" event.which = 74;\n",
" event.keyCode = 74;\n",
" manager.command_mode();\n",
" manager.handle_keydown(event);\n",
" }\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" fig.ondownload(fig, null);\n",
"}\n",
"\n",
"\n",
"mpl.find_output_cell = function(html_output) {\n",
" // Return the cell and output element which can be found *uniquely* in the notebook.\n",
" // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
" // IPython event is triggered only after the cells have been serialised, which for\n",
" // our purposes (turning an active figure into a static one), is too late.\n",
" var cells = IPython.notebook.get_cells();\n",
" var ncells = cells.length;\n",
" for (var i=0; i<ncells; i++) {\n",
" var cell = cells[i];\n",
" if (cell.cell_type === 'code'){\n",
" for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
" var data = cell.output_area.outputs[j];\n",
" if (data.data) {\n",
" // IPython >= 3 moved mimebundle to data attribute of output\n",
" data = data.data;\n",
" }\n",
" if (data['text/html'] == html_output) {\n",
" return [cell, data, j];\n",
" }\n",
" }\n",
" }\n",
" }\n",
"}\n",
"\n",
"// Register the function which deals with the matplotlib target/channel.\n",
"// The kernel may be null if the page has been refreshed.\n",
"if (IPython.notebook.kernel != null) {\n",
" IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
"}\n"
],
"text/plain": [
"<IPython.core.display.Javascript object>"
]
},
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"output_type": "display_data"
},
{
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\" width=\"640\">"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.figure() # figsize = (15, 10)\n",
"\n",
"for i, season in enumerate(seasons):\n",
" ax = plt.subplot(('22%d' %i))\n",
" seasons[season].SIS.T.plot()\n",
" ax.set_title(season)\n",
" ax.invert_xaxis()\n",
" ax.invert_yaxis()\n",
" ax.set_ylim(bottom = 90)\n",
"\n",
" # FORMATTING\n",
" # xticks = ['N', 'NE', 'E', 'SE', 'S', 'SW', 'W', 'NW']\n",
" # ax.set_xticklabels( xticks )\n",
"\n",
"plt.tight_layout()\n",
"plt.show()\n",
"# plt.savefig('GHI_seasons_corrected_cartesian.png', dpi = 300)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Interpolate data"
]
},
{
"cell_type": "code",
"execution_count": 169,
"metadata": {},
"outputs": [],
"source": [
"data = SIS_corrected[['SIS']].reset_index()\n",
"ts_old = pd.DataFrame(SIS_df.index)"
]
},
{
"cell_type": "code",
"execution_count": 170,
"metadata": {},
"outputs": [],
"source": [
"all_data = pd.concat([data, ts_old], sort = False).sort_values('timestamp').set_index('timestamp')\n",
"all_data.interpolate(method = 'time', inplace = True)"
]
},
{
"cell_type": "code",
"execution_count": 171,
"metadata": {},
"outputs": [],
"source": [
"data_interpolated = all_data[all_data.index.isin(ts_old.timestamp)]"
]
},
{
"cell_type": "code",
"execution_count": 172,
"metadata": {},
"outputs": [],
"source": [
"SIS_interp = SIS_df.drop(columns = 'SIS').merge(data_interpolated, left_index = True, right_index = True)"
]
},
{
"cell_type": "code",
"execution_count": 173,
"metadata": {},
"outputs": [],
"source": [
"SIS_interp_grouped = SIS_interp.groupby(['azimuth', 'apparent_zenith' ]).mean().to_xarray()"
]
},
{
"cell_type": "code",
"execution_count": 191,
"metadata": {},
"outputs": [],
"source": [
"all_times = pd.concat([SIS_corrected, SIS_interp], sort = False).sort_index()\n",
"all_times_grouped = all_times.groupby(['azimuth', 'apparent_zenith' ]).mean().to_xarray()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Plot correct data vs interpolated data"
]
},
{
"cell_type": "code",
"execution_count": 193,
"metadata": {},
"outputs": [
{
"data": {
"application/javascript": [
"/* Put everything inside the global mpl namespace */\n",
"window.mpl = {};\n",
"\n",
"\n",
"mpl.get_websocket_type = function() {\n",
" if (typeof(WebSocket) !== 'undefined') {\n",
" return WebSocket;\n",
" } else if (typeof(MozWebSocket) !== 'undefined') {\n",
" return MozWebSocket;\n",
" } else {\n",
" alert('Your browser does not have WebSocket support.' +\n",
" 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
" 'Firefox 4 and 5 are also supported but you ' +\n",
" 'have to enable WebSockets in about:config.');\n",
" };\n",
"}\n",
"\n",
"mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
" this.id = figure_id;\n",
"\n",
" this.ws = websocket;\n",
"\n",
" this.supports_binary = (this.ws.binaryType != undefined);\n",
"\n",
" if (!this.supports_binary) {\n",
" var warnings = document.getElementById(\"mpl-warnings\");\n",
" if (warnings) {\n",
" warnings.style.display = 'block';\n",
" warnings.textContent = (\n",
" \"This browser does not support binary websocket messages. \" +\n",
" \"Performance may be slow.\");\n",
" }\n",
" }\n",
"\n",
" this.imageObj = new Image();\n",
"\n",
" this.context = undefined;\n",
" this.message = undefined;\n",
" this.canvas = undefined;\n",
" this.rubberband_canvas = undefined;\n",
" this.rubberband_context = undefined;\n",
" this.format_dropdown = undefined;\n",
"\n",
" this.image_mode = 'full';\n",
"\n",
" this.root = $('<div/>');\n",
" this._root_extra_style(this.root)\n",
" this.root.attr('style', 'display: inline-block');\n",
"\n",
" $(parent_element).append(this.root);\n",
"\n",
" this._init_header(this);\n",
" this._init_canvas(this);\n",
" this._init_toolbar(this);\n",
"\n",
" var fig = this;\n",
"\n",
" this.waiting = false;\n",
"\n",
" this.ws.onopen = function () {\n",
" fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
" fig.send_message(\"send_image_mode\", {});\n",
" if (mpl.ratio != 1) {\n",
" fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
" }\n",
" fig.send_message(\"refresh\", {});\n",
" }\n",
"\n",
" this.imageObj.onload = function() {\n",
" if (fig.image_mode == 'full') {\n",
" // Full images could contain transparency (where diff images\n",
" // almost always do), so we need to clear the canvas so that\n",
" // there is no ghosting.\n",
" fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
" }\n",
" fig.context.drawImage(fig.imageObj, 0, 0);\n",
" };\n",
"\n",
" this.imageObj.onunload = function() {\n",
" fig.ws.close();\n",
" }\n",
"\n",
" this.ws.onmessage = this._make_on_message_function(this);\n",
"\n",
" this.ondownload = ondownload;\n",
"}\n",
"\n",
"mpl.figure.prototype._init_header = function() {\n",
" var titlebar = $(\n",
" '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
" 'ui-helper-clearfix\"/>');\n",
" var titletext = $(\n",
" '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
" 'text-align: center; padding: 3px;\"/>');\n",
" titlebar.append(titletext)\n",
" this.root.append(titlebar);\n",
" this.header = titletext[0];\n",
"}\n",
"\n",
"\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
"\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._init_canvas = function() {\n",
" var fig = this;\n",
"\n",
" var canvas_div = $('<div/>');\n",
"\n",
" canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
"\n",
" function canvas_keyboard_event(event) {\n",
" return fig.key_event(event, event['data']);\n",
" }\n",
"\n",
" canvas_div.keydown('key_press', canvas_keyboard_event);\n",
" canvas_div.keyup('key_release', canvas_keyboard_event);\n",
" this.canvas_div = canvas_div\n",
" this._canvas_extra_style(canvas_div)\n",
" this.root.append(canvas_div);\n",
"\n",
" var canvas = $('<canvas/>');\n",
" canvas.addClass('mpl-canvas');\n",
" canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
"\n",
" this.canvas = canvas[0];\n",
" this.context = canvas[0].getContext(\"2d\");\n",
"\n",
" var backingStore = this.context.backingStorePixelRatio ||\n",
"\tthis.context.webkitBackingStorePixelRatio ||\n",
"\tthis.context.mozBackingStorePixelRatio ||\n",
"\tthis.context.msBackingStorePixelRatio ||\n",
"\tthis.context.oBackingStorePixelRatio ||\n",
"\tthis.context.backingStorePixelRatio || 1;\n",
"\n",
" mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
"\n",
" var rubberband = $('<canvas/>');\n",
" rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
"\n",
" var pass_mouse_events = true;\n",
"\n",
" canvas_div.resizable({\n",
" start: function(event, ui) {\n",
" pass_mouse_events = false;\n",
" },\n",
" resize: function(event, ui) {\n",
" fig.request_resize(ui.size.width, ui.size.height);\n",
" },\n",
" stop: function(event, ui) {\n",
" pass_mouse_events = true;\n",
" fig.request_resize(ui.size.width, ui.size.height);\n",
" },\n",
" });\n",
"\n",
" function mouse_event_fn(event) {\n",
" if (pass_mouse_events)\n",
" return fig.mouse_event(event, event['data']);\n",
" }\n",
"\n",
" rubberband.mousedown('button_press', mouse_event_fn);\n",
" rubberband.mouseup('button_release', mouse_event_fn);\n",
" // Throttle sequential mouse events to 1 every 20ms.\n",
" rubberband.mousemove('motion_notify', mouse_event_fn);\n",
"\n",
" rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
" rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
"\n",
" canvas_div.on(\"wheel\", function (event) {\n",
" event = event.originalEvent;\n",
" event['data'] = 'scroll'\n",
" if (event.deltaY < 0) {\n",
" event.step = 1;\n",
" } else {\n",
" event.step = -1;\n",
" }\n",
" mouse_event_fn(event);\n",
" });\n",
"\n",
" canvas_div.append(canvas);\n",
" canvas_div.append(rubberband);\n",
"\n",
" this.rubberband = rubberband;\n",
" this.rubberband_canvas = rubberband[0];\n",
" this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
" this.rubberband_context.strokeStyle = \"#000000\";\n",
"\n",
" this._resize_canvas = function(width, height) {\n",
" // Keep the size of the canvas, canvas container, and rubber band\n",
" // canvas in synch.\n",
" canvas_div.css('width', width)\n",
" canvas_div.css('height', height)\n",
"\n",
" canvas.attr('width', width * mpl.ratio);\n",
" canvas.attr('height', height * mpl.ratio);\n",
" canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
"\n",
" rubberband.attr('width', width);\n",
" rubberband.attr('height', height);\n",
" }\n",
"\n",
" // Set the figure to an initial 600x600px, this will subsequently be updated\n",
" // upon first draw.\n",
" this._resize_canvas(600, 600);\n",
"\n",
" // Disable right mouse context menu.\n",
" $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
" return false;\n",
" });\n",
"\n",
" function set_focus () {\n",
" canvas.focus();\n",
" canvas_div.focus();\n",
" }\n",
"\n",
" window.setTimeout(set_focus, 100);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('<div/>')\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items) {\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) {\n",
" // put a spacer in here.\n",
" continue;\n",
" }\n",
" var button = $('<button/>');\n",
" button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
" 'ui-button-icon-only');\n",
" button.attr('role', 'button');\n",
" button.attr('aria-disabled', 'false');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
"\n",
" var icon_img = $('<span/>');\n",
" icon_img.addClass('ui-button-icon-primary ui-icon');\n",
" icon_img.addClass(image);\n",
" icon_img.addClass('ui-corner-all');\n",
"\n",
" var tooltip_span = $('<span/>');\n",
" tooltip_span.addClass('ui-button-text');\n",
" tooltip_span.html(tooltip);\n",
"\n",
" button.append(icon_img);\n",
" button.append(tooltip_span);\n",
"\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" var fmt_picker_span = $('<span/>');\n",
"\n",
" var fmt_picker = $('<select/>');\n",
" fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
" fmt_picker_span.append(fmt_picker);\n",
" nav_element.append(fmt_picker_span);\n",
" this.format_dropdown = fmt_picker[0];\n",
"\n",
" for (var ind in mpl.extensions) {\n",
" var fmt = mpl.extensions[ind];\n",
" var option = $(\n",
" '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
" fmt_picker.append(option)\n",
" }\n",
"\n",
" // Add hover states to the ui-buttons\n",
" $( \".ui-button\" ).hover(\n",
" function() { $(this).addClass(\"ui-state-hover\");},\n",
" function() { $(this).removeClass(\"ui-state-hover\");}\n",
" );\n",
"\n",
" var status_bar = $('<span class=\"mpl-message\"/>');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"}\n",
"\n",
"mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
" // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
" // which will in turn request a refresh of the image.\n",
" this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
"}\n",
"\n",
"mpl.figure.prototype.send_message = function(type, properties) {\n",
" properties['type'] = type;\n",
" properties['figure_id'] = this.id;\n",
" this.ws.send(JSON.stringify(properties));\n",
"}\n",
"\n",
"mpl.figure.prototype.send_draw_message = function() {\n",
" if (!this.waiting) {\n",
" this.waiting = true;\n",
" this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
" }\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" var format_dropdown = fig.format_dropdown;\n",
" var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
" fig.ondownload(fig, format);\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
" var size = msg['size'];\n",
" if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
" fig._resize_canvas(size[0], size[1]);\n",
" fig.send_message(\"refresh\", {});\n",
" };\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
" var x0 = msg['x0'] / mpl.ratio;\n",
" var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
" var x1 = msg['x1'] / mpl.ratio;\n",
" var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
" x0 = Math.floor(x0) + 0.5;\n",
" y0 = Math.floor(y0) + 0.5;\n",
" x1 = Math.floor(x1) + 0.5;\n",
" y1 = Math.floor(y1) + 0.5;\n",
" var min_x = Math.min(x0, x1);\n",
" var min_y = Math.min(y0, y1);\n",
" var width = Math.abs(x1 - x0);\n",
" var height = Math.abs(y1 - y0);\n",
"\n",
" fig.rubberband_context.clearRect(\n",
" 0, 0, fig.canvas.width, fig.canvas.height);\n",
"\n",
" fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
" // Updates the figure title.\n",
" fig.header.textContent = msg['label'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
" var cursor = msg['cursor'];\n",
" switch(cursor)\n",
" {\n",
" case 0:\n",
" cursor = 'pointer';\n",
" break;\n",
" case 1:\n",
" cursor = 'default';\n",
" break;\n",
" case 2:\n",
" cursor = 'crosshair';\n",
" break;\n",
" case 3:\n",
" cursor = 'move';\n",
" break;\n",
" }\n",
" fig.rubberband_canvas.style.cursor = cursor;\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_message = function(fig, msg) {\n",
" fig.message.textContent = msg['message'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
" // Request the server to send over a new figure.\n",
" fig.send_draw_message();\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
" fig.image_mode = msg['mode'];\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Called whenever the canvas gets updated.\n",
" this.send_message(\"ack\", {});\n",
"}\n",
"\n",
"// A function to construct a web socket function for onmessage handling.\n",
"// Called in the figure constructor.\n",
"mpl.figure.prototype._make_on_message_function = function(fig) {\n",
" return function socket_on_message(evt) {\n",
" if (evt.data instanceof Blob) {\n",
" /* FIXME: We get \"Resource interpreted as Image but\n",
" * transferred with MIME type text/plain:\" errors on\n",
" * Chrome. But how to set the MIME type? It doesn't seem\n",
" * to be part of the websocket stream */\n",
" evt.data.type = \"image/png\";\n",
"\n",
" /* Free the memory for the previous frames */\n",
" if (fig.imageObj.src) {\n",
" (window.URL || window.webkitURL).revokeObjectURL(\n",
" fig.imageObj.src);\n",
" }\n",
"\n",
" fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
" evt.data);\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
" else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
" fig.imageObj.src = evt.data;\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
"\n",
" var msg = JSON.parse(evt.data);\n",
" var msg_type = msg['type'];\n",
"\n",
" // Call the \"handle_{type}\" callback, which takes\n",
" // the figure and JSON message as its only arguments.\n",
" try {\n",
" var callback = fig[\"handle_\" + msg_type];\n",
" } catch (e) {\n",
" console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
" return;\n",
" }\n",
"\n",
" if (callback) {\n",
" try {\n",
" // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
" callback(fig, msg);\n",
" } catch (e) {\n",
" console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
" }\n",
" }\n",
" };\n",
"}\n",
"\n",
"// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
"mpl.findpos = function(e) {\n",
" //this section is from http://www.quirksmode.org/js/events_properties.html\n",
" var targ;\n",
" if (!e)\n",
" e = window.event;\n",
" if (e.target)\n",
" targ = e.target;\n",
" else if (e.srcElement)\n",
" targ = e.srcElement;\n",
" if (targ.nodeType == 3) // defeat Safari bug\n",
" targ = targ.parentNode;\n",
"\n",
" // jQuery normalizes the pageX and pageY\n",
" // pageX,Y are the mouse positions relative to the document\n",
" // offset() returns the position of the element relative to the document\n",
" var x = e.pageX - $(targ).offset().left;\n",
" var y = e.pageY - $(targ).offset().top;\n",
"\n",
" return {\"x\": x, \"y\": y};\n",
"};\n",
"\n",
"/*\n",
" * return a copy of an object with only non-object keys\n",
" * we need this to avoid circular references\n",
" * http://stackoverflow.com/a/24161582/3208463\n",
" */\n",
"function simpleKeys (original) {\n",
" return Object.keys(original).reduce(function (obj, key) {\n",
" if (typeof original[key] !== 'object')\n",
" obj[key] = original[key]\n",
" return obj;\n",
" }, {});\n",
"}\n",
"\n",
"mpl.figure.prototype.mouse_event = function(event, name) {\n",
" var canvas_pos = mpl.findpos(event)\n",
"\n",
" if (name === 'button_press')\n",
" {\n",
" this.canvas.focus();\n",
" this.canvas_div.focus();\n",
" }\n",
"\n",
" var x = canvas_pos.x * mpl.ratio;\n",
" var y = canvas_pos.y * mpl.ratio;\n",
"\n",
" this.send_message(name, {x: x, y: y, button: event.button,\n",
" step: event.step,\n",
" guiEvent: simpleKeys(event)});\n",
"\n",
" /* This prevents the web browser from automatically changing to\n",
" * the text insertion cursor when the button is pressed. We want\n",
" * to control all of the cursor setting manually through the\n",
" * 'cursor' event from matplotlib */\n",
" event.preventDefault();\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" // Handle any extra behaviour associated with a key event\n",
"}\n",
"\n",
"mpl.figure.prototype.key_event = function(event, name) {\n",
"\n",
" // Prevent repeat events\n",
" if (name == 'key_press')\n",
" {\n",
" if (event.which === this._key)\n",
" return;\n",
" else\n",
" this._key = event.which;\n",
" }\n",
" if (name == 'key_release')\n",
" this._key = null;\n",
"\n",
" var value = '';\n",
" if (event.ctrlKey && event.which != 17)\n",
" value += \"ctrl+\";\n",
" if (event.altKey && event.which != 18)\n",
" value += \"alt+\";\n",
" if (event.shiftKey && event.which != 16)\n",
" value += \"shift+\";\n",
"\n",
" value += 'k';\n",
" value += event.which.toString();\n",
"\n",
" this._key_event_extra(event, name);\n",
"\n",
" this.send_message(name, {key: value,\n",
" guiEvent: simpleKeys(event)});\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
" if (name == 'download') {\n",
" this.handle_save(this, null);\n",
" } else {\n",
" this.send_message(\"toolbar_button\", {name: name});\n",
" }\n",
"};\n",
"\n",
"mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
" this.message.textContent = tooltip;\n",
"};\n",
"mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
"\n",
"mpl.extensions = [\"eps\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\n",
"\n",
"mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
" // Create a \"websocket\"-like object which calls the given IPython comm\n",
" // object with the appropriate methods. Currently this is a non binary\n",
" // socket, so there is still some room for performance tuning.\n",
" var ws = {};\n",
"\n",
" ws.close = function() {\n",
" comm.close()\n",
" };\n",
" ws.send = function(m) {\n",
" //console.log('sending', m);\n",
" comm.send(m);\n",
" };\n",
" // Register the callback with on_msg.\n",
" comm.on_msg(function(msg) {\n",
" //console.log('receiving', msg['content']['data'], msg);\n",
" // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
" ws.onmessage(msg['content']['data'])\n",
" });\n",
" return ws;\n",
"}\n",
"\n",
"mpl.mpl_figure_comm = function(comm, msg) {\n",
" // This is the function which gets called when the mpl process\n",
" // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
"\n",
" var id = msg.content.data.id;\n",
" // Get hold of the div created by the display call when the Comm\n",
" // socket was opened in Python.\n",
" var element = $(\"#\" + id);\n",
" var ws_proxy = comm_websocket_adapter(comm)\n",
"\n",
" function ondownload(figure, format) {\n",
" window.open(figure.imageObj.src);\n",
" }\n",
"\n",
" var fig = new mpl.figure(id, ws_proxy,\n",
" ondownload,\n",
" element.get(0));\n",
"\n",
" // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
" // web socket which is closed, not our websocket->open comm proxy.\n",
" ws_proxy.onopen();\n",
"\n",
" fig.parent_element = element.get(0);\n",
" fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
" if (!fig.cell_info) {\n",
" console.error(\"Failed to find cell for figure\", id, fig);\n",
" return;\n",
" }\n",
"\n",
" var output_index = fig.cell_info[2]\n",
" var cell = fig.cell_info[0];\n",
"\n",
"};\n",
"\n",
"mpl.figure.prototype.handle_close = function(fig, msg) {\n",
" var width = fig.canvas.width/mpl.ratio\n",
" fig.root.unbind('remove')\n",
"\n",
" // Update the output cell to use the data from the current canvas.\n",
" fig.push_to_output();\n",
" var dataURL = fig.canvas.toDataURL();\n",
" // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
" // the notebook keyboard shortcuts fail.\n",
" IPython.keyboard_manager.enable()\n",
" $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
" fig.close_ws(fig, msg);\n",
"}\n",
"\n",
"mpl.figure.prototype.close_ws = function(fig, msg){\n",
" fig.send_message('closing', msg);\n",
" // fig.ws.close()\n",
"}\n",
"\n",
"mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
" // Turn the data on the canvas into data in the output cell.\n",
" var width = this.canvas.width/mpl.ratio\n",
" var dataURL = this.canvas.toDataURL();\n",
" this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Tell IPython that the notebook contents must change.\n",
" IPython.notebook.set_dirty(true);\n",
" this.send_message(\"ack\", {});\n",
" var fig = this;\n",
" // Wait a second, then push the new image to the DOM so\n",
" // that it is saved nicely (might be nice to debounce this).\n",
" setTimeout(function () { fig.push_to_output() }, 1000);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('<div/>')\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items){\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) { continue; };\n",
"\n",
" var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" // Add the status bar.\n",
" var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"\n",
" // Add the close button to the window.\n",
" var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
" var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
" button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
" button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
" buttongrp.append(button);\n",
" var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
" titlebar.prepend(buttongrp);\n",
"}\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(el){\n",
" var fig = this\n",
" el.on(\"remove\", function(){\n",
"\tfig.close_ws(fig, {});\n",
" });\n",
"}\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(el){\n",
" // this is important to make the div 'focusable\n",
" el.attr('tabindex', 0)\n",
" // reach out to IPython and tell the keyboard manager to turn it's self\n",
" // off when our div gets focus\n",
"\n",
" // location in version 3\n",
" if (IPython.notebook.keyboard_manager) {\n",
" IPython.notebook.keyboard_manager.register_events(el);\n",
" }\n",
" else {\n",
" // location in version 2\n",
" IPython.keyboard_manager.register_events(el);\n",
" }\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" var manager = IPython.notebook.keyboard_manager;\n",
" if (!manager)\n",
" manager = IPython.keyboard_manager;\n",
"\n",
" // Check for shift+enter\n",
" if (event.shiftKey && event.which == 13) {\n",
" this.canvas_div.blur();\n",
" event.shiftKey = false;\n",
" // Send a \"J\" for go to next cell\n",
" event.which = 74;\n",
" event.keyCode = 74;\n",
" manager.command_mode();\n",
" manager.handle_keydown(event);\n",
" }\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" fig.ondownload(fig, null);\n",
"}\n",
"\n",
"\n",
"mpl.find_output_cell = function(html_output) {\n",
" // Return the cell and output element which can be found *uniquely* in the notebook.\n",
" // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
" // IPython event is triggered only after the cells have been serialised, which for\n",
" // our purposes (turning an active figure into a static one), is too late.\n",
" var cells = IPython.notebook.get_cells();\n",
" var ncells = cells.length;\n",
" for (var i=0; i<ncells; i++) {\n",
" var cell = cells[i];\n",
" if (cell.cell_type === 'code'){\n",
" for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
" var data = cell.output_area.outputs[j];\n",
" if (data.data) {\n",
" // IPython >= 3 moved mimebundle to data attribute of output\n",
" data = data.data;\n",
" }\n",
" if (data['text/html'] == html_output) {\n",
" return [cell, data, j];\n",
" }\n",
" }\n",
" }\n",
" }\n",
"}\n",
"\n",
"// Register the function which deals with the matplotlib target/channel.\n",
"// The kernel may be null if the page has been refreshed.\n",
"if (IPython.notebook.kernel != null) {\n",
" IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
"}\n"
],
"text/plain": [
"<IPython.core.display.Javascript object>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
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\" width=\"1000\">"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.figure(figsize = (10, 8)) # (15, 5)\n",
"\n",
"## --------------------------------------- ##\n",
"\n",
"plot_array = SIS_corrected_grouped.SIS\n",
"\n",
"# prepare data\n",
"data = plot_array.T.values\n",
"# theta = np.append(plot_array.aspect_round * np.pi / 180, 2*np.pi) + (0.5 * ASP_ROUND * np.pi / 180)\n",
"theta = plot_array.azimuth * np.pi / 180 - (0.5 * RND * np.pi / 180)\n",
"tilts = plot_array.apparent_zenith\n",
"\n",
"X, Y = np.meshgrid( theta, tilts )\n",
"\n",
"# SET PROPERTIES\n",
"VMIN = None\n",
"VMAX = None\n",
" \n",
"ax = plt.subplot('221', projection='polar')\n",
"ax.set_theta_zero_location('N')\n",
"ax.set_theta_direction(-1)\n",
"ax.set_ylim((0, 90))\n",
"ax.set_title('Correct data')\n",
"\n",
"plt.pcolor(X, Y, data, vmin = VMIN, vmax = VMAX)\n",
"cb = plt.colorbar() # extend = get_cbar_extent( data, VMIN, VMAX )\n",
"cb.set_label('Global solar radiation (W/m2)')\n",
"\n",
"# FORMATTING\n",
"xticks = ['N', 'NE', 'E', 'SE', 'S', 'SW', 'W', 'NW']\n",
"ax.set_xticklabels( xticks )\n",
"# ax.text(10,120, 'Sun zenith')\n",
"ax.set_rlabel_position(20) # get radial labels away from plotted line\n",
"yticks = [str(int(tilt)) + '°' for tilt in ax.get_yticks()]\n",
"ax.set_yticklabels( yticks )\n",
"\n",
"## --------------------------------------- ##\n",
"\n",
"plot_array = SIS_interp_grouped.SIS\n",
"\n",
"# prepare data\n",
"data = plot_array.T.values\n",
"# theta = np.append(plot_array.aspect_round * np.pi / 180, 2*np.pi) + (0.5 * ASP_ROUND * np.pi / 180)\n",
"theta = plot_array.azimuth * np.pi / 180 - (0.5 * RND * np.pi / 180)\n",
"tilts = plot_array.apparent_zenith\n",
"\n",
"X, Y = np.meshgrid( theta, tilts )\n",
"\n",
"# SET PROPERTIES\n",
"VMIN = None\n",
"VMAX = None\n",
" \n",
"ax = plt.subplot('222', projection='polar')\n",
"ax.set_theta_zero_location('N')\n",
"ax.set_theta_direction(-1)\n",
"ax.set_ylim((0, 90))\n",
"ax.set_title('Interpolated data')\n",
"\n",
"plt.pcolor(X, Y, data, vmin = VMIN, vmax = VMAX)\n",
"cb = plt.colorbar() # extend = get_cbar_extent( data, VMIN, VMAX )\n",
"cb.set_label('Global solar radiation (W/m2)')\n",
"\n",
"# FORMATTING\n",
"xticks = ['N', 'NE', 'E', 'SE', 'S', 'SW', 'W', 'NW']\n",
"ax.set_xticklabels( xticks )\n",
"# ax.text(10,120, 'Sun zenith')\n",
"ax.set_rlabel_position(20) # get radial labels away from plotted line\n",
"yticks = [str(int(tilt)) + '°' for tilt in ax.get_yticks()]\n",
"ax.set_yticklabels( yticks )\n",
"\n",
"## --------------------------------------- ##\n",
"\n",
"plot_array = all_times_grouped.SIS\n",
"\n",
"# prepare data\n",
"data = plot_array.T.values\n",
"# theta = np.append(plot_array.aspect_round * np.pi / 180, 2*np.pi) + (0.5 * ASP_ROUND * np.pi / 180)\n",
"theta = plot_array.azimuth * np.pi / 180 - (0.5 * RND * np.pi / 180)\n",
"tilts = plot_array.apparent_zenith\n",
"\n",
"X, Y = np.meshgrid( theta, tilts )\n",
"\n",
"# SET PROPERTIES\n",
"VMIN = None\n",
"VMAX = None\n",
" \n",
"ax = plt.subplot('223', projection='polar')\n",
"ax.set_theta_zero_location('N')\n",
"ax.set_theta_direction(-1)\n",
"ax.set_ylim((0, 90))\n",
"ax.set_title('Interpolated data')\n",
"\n",
"plt.pcolor(X, Y, data, vmin = VMIN, vmax = VMAX)\n",
"cb = plt.colorbar() # extend = get_cbar_extent( data, VMIN, VMAX )\n",
"cb.set_label('Global solar radiation (W/m2)')\n",
"\n",
"# FORMATTING\n",
"xticks = ['N', 'NE', 'E', 'SE', 'S', 'SW', 'W', 'NW']\n",
"ax.set_xticklabels( xticks )\n",
"# ax.text(10,120, 'Sun zenith')\n",
"ax.set_rlabel_position(20) # get radial labels away from plotted line\n",
"yticks = [str(int(tilt)) + '°' for tilt in ax.get_yticks()]\n",
"ax.set_yticklabels( yticks )\n",
"\n",
"plt.tight_layout()\n",
"plt.show()\n",
"#plt.savefig('GHI_correction_compare_2deg.png', dpi = 300)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Compare yearly data"
]
},
{
"cell_type": "code",
"execution_count": 27,
"metadata": {},
"outputs": [],
"source": [
"def load_data(fp):\n",
" # get data\n",
" raw_data = xr.open_mfdataset( fp )\n",
" \n",
" # average over all locations\n",
" SIS = raw_data.SIS.mean(dim = ['lon', 'lat'])\n",
" SIS_mmh = SIS.to_dataset()\n",
" \n",
" # convert to pandas dataframe\n",
" SIS_df = SIS_mmh.to_dataframe().reset_index()\n",
" SIS_df = SIS_df.sort_values('time').set_index('time')\n",
" return SIS_df\n",
" \n",
"def change_timestamp(ds):\n",
" ds.index = ds.index + pd.Timedelta(0.5, unit = 'h')\n",
" return ds\n",
" \n",
"def get_solpos(ds):\n",
" return get_solarposition(ds.index, LAT, LON)\n",
"\n",
"def round_solpos(data, solpos, rnd_azimuth = 20, rnd_zenith = 5):\n",
" RND = 20\n",
" data['apparent_zenith'] = util.round_to_interval(solpos['apparent_zenith'], rnd_zenith)\n",
" data['azimuth'] = util.round_to_interval(solpos['azimuth'], rnd_azimuth)\n",
" return data\n",
"\n",
"def group_data(ds):\n",
" return ds.groupby(['azimuth', 'apparent_zenith' ]).mean().to_xarray()"
]
},
{
"cell_type": "code",
"execution_count": 30,
"metadata": {
"scrolled": false
},
"outputs": [
{
"data": {
"application/javascript": [
"/* Put everything inside the global mpl namespace */\n",
"window.mpl = {};\n",
"\n",
"\n",
"mpl.get_websocket_type = function() {\n",
" if (typeof(WebSocket) !== 'undefined') {\n",
" return WebSocket;\n",
" } else if (typeof(MozWebSocket) !== 'undefined') {\n",
" return MozWebSocket;\n",
" } else {\n",
" alert('Your browser does not have WebSocket support.' +\n",
" 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
" 'Firefox 4 and 5 are also supported but you ' +\n",
" 'have to enable WebSockets in about:config.');\n",
" };\n",
"}\n",
"\n",
"mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
" this.id = figure_id;\n",
"\n",
" this.ws = websocket;\n",
"\n",
" this.supports_binary = (this.ws.binaryType != undefined);\n",
"\n",
" if (!this.supports_binary) {\n",
" var warnings = document.getElementById(\"mpl-warnings\");\n",
" if (warnings) {\n",
" warnings.style.display = 'block';\n",
" warnings.textContent = (\n",
" \"This browser does not support binary websocket messages. \" +\n",
" \"Performance may be slow.\");\n",
" }\n",
" }\n",
"\n",
" this.imageObj = new Image();\n",
"\n",
" this.context = undefined;\n",
" this.message = undefined;\n",
" this.canvas = undefined;\n",
" this.rubberband_canvas = undefined;\n",
" this.rubberband_context = undefined;\n",
" this.format_dropdown = undefined;\n",
"\n",
" this.image_mode = 'full';\n",
"\n",
" this.root = $('<div/>');\n",
" this._root_extra_style(this.root)\n",
" this.root.attr('style', 'display: inline-block');\n",
"\n",
" $(parent_element).append(this.root);\n",
"\n",
" this._init_header(this);\n",
" this._init_canvas(this);\n",
" this._init_toolbar(this);\n",
"\n",
" var fig = this;\n",
"\n",
" this.waiting = false;\n",
"\n",
" this.ws.onopen = function () {\n",
" fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
" fig.send_message(\"send_image_mode\", {});\n",
" if (mpl.ratio != 1) {\n",
" fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
" }\n",
" fig.send_message(\"refresh\", {});\n",
" }\n",
"\n",
" this.imageObj.onload = function() {\n",
" if (fig.image_mode == 'full') {\n",
" // Full images could contain transparency (where diff images\n",
" // almost always do), so we need to clear the canvas so that\n",
" // there is no ghosting.\n",
" fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
" }\n",
" fig.context.drawImage(fig.imageObj, 0, 0);\n",
" };\n",
"\n",
" this.imageObj.onunload = function() {\n",
" fig.ws.close();\n",
" }\n",
"\n",
" this.ws.onmessage = this._make_on_message_function(this);\n",
"\n",
" this.ondownload = ondownload;\n",
"}\n",
"\n",
"mpl.figure.prototype._init_header = function() {\n",
" var titlebar = $(\n",
" '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
" 'ui-helper-clearfix\"/>');\n",
" var titletext = $(\n",
" '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
" 'text-align: center; padding: 3px;\"/>');\n",
" titlebar.append(titletext)\n",
" this.root.append(titlebar);\n",
" this.header = titletext[0];\n",
"}\n",
"\n",
"\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
"\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._init_canvas = function() {\n",
" var fig = this;\n",
"\n",
" var canvas_div = $('<div/>');\n",
"\n",
" canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
"\n",
" function canvas_keyboard_event(event) {\n",
" return fig.key_event(event, event['data']);\n",
" }\n",
"\n",
" canvas_div.keydown('key_press', canvas_keyboard_event);\n",
" canvas_div.keyup('key_release', canvas_keyboard_event);\n",
" this.canvas_div = canvas_div\n",
" this._canvas_extra_style(canvas_div)\n",
" this.root.append(canvas_div);\n",
"\n",
" var canvas = $('<canvas/>');\n",
" canvas.addClass('mpl-canvas');\n",
" canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
"\n",
" this.canvas = canvas[0];\n",
" this.context = canvas[0].getContext(\"2d\");\n",
"\n",
" var backingStore = this.context.backingStorePixelRatio ||\n",
"\tthis.context.webkitBackingStorePixelRatio ||\n",
"\tthis.context.mozBackingStorePixelRatio ||\n",
"\tthis.context.msBackingStorePixelRatio ||\n",
"\tthis.context.oBackingStorePixelRatio ||\n",
"\tthis.context.backingStorePixelRatio || 1;\n",
"\n",
" mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
"\n",
" var rubberband = $('<canvas/>');\n",
" rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
"\n",
" var pass_mouse_events = true;\n",
"\n",
" canvas_div.resizable({\n",
" start: function(event, ui) {\n",
" pass_mouse_events = false;\n",
" },\n",
" resize: function(event, ui) {\n",
" fig.request_resize(ui.size.width, ui.size.height);\n",
" },\n",
" stop: function(event, ui) {\n",
" pass_mouse_events = true;\n",
" fig.request_resize(ui.size.width, ui.size.height);\n",
" },\n",
" });\n",
"\n",
" function mouse_event_fn(event) {\n",
" if (pass_mouse_events)\n",
" return fig.mouse_event(event, event['data']);\n",
" }\n",
"\n",
" rubberband.mousedown('button_press', mouse_event_fn);\n",
" rubberband.mouseup('button_release', mouse_event_fn);\n",
" // Throttle sequential mouse events to 1 every 20ms.\n",
" rubberband.mousemove('motion_notify', mouse_event_fn);\n",
"\n",
" rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
" rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
"\n",
" canvas_div.on(\"wheel\", function (event) {\n",
" event = event.originalEvent;\n",
" event['data'] = 'scroll'\n",
" if (event.deltaY < 0) {\n",
" event.step = 1;\n",
" } else {\n",
" event.step = -1;\n",
" }\n",
" mouse_event_fn(event);\n",
" });\n",
"\n",
" canvas_div.append(canvas);\n",
" canvas_div.append(rubberband);\n",
"\n",
" this.rubberband = rubberband;\n",
" this.rubberband_canvas = rubberband[0];\n",
" this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
" this.rubberband_context.strokeStyle = \"#000000\";\n",
"\n",
" this._resize_canvas = function(width, height) {\n",
" // Keep the size of the canvas, canvas container, and rubber band\n",
" // canvas in synch.\n",
" canvas_div.css('width', width)\n",
" canvas_div.css('height', height)\n",
"\n",
" canvas.attr('width', width * mpl.ratio);\n",
" canvas.attr('height', height * mpl.ratio);\n",
" canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
"\n",
" rubberband.attr('width', width);\n",
" rubberband.attr('height', height);\n",
" }\n",
"\n",
" // Set the figure to an initial 600x600px, this will subsequently be updated\n",
" // upon first draw.\n",
" this._resize_canvas(600, 600);\n",
"\n",
" // Disable right mouse context menu.\n",
" $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
" return false;\n",
" });\n",
"\n",
" function set_focus () {\n",
" canvas.focus();\n",
" canvas_div.focus();\n",
" }\n",
"\n",
" window.setTimeout(set_focus, 100);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('<div/>')\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items) {\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) {\n",
" // put a spacer in here.\n",
" continue;\n",
" }\n",
" var button = $('<button/>');\n",
" button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
" 'ui-button-icon-only');\n",
" button.attr('role', 'button');\n",
" button.attr('aria-disabled', 'false');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
"\n",
" var icon_img = $('<span/>');\n",
" icon_img.addClass('ui-button-icon-primary ui-icon');\n",
" icon_img.addClass(image);\n",
" icon_img.addClass('ui-corner-all');\n",
"\n",
" var tooltip_span = $('<span/>');\n",
" tooltip_span.addClass('ui-button-text');\n",
" tooltip_span.html(tooltip);\n",
"\n",
" button.append(icon_img);\n",
" button.append(tooltip_span);\n",
"\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" var fmt_picker_span = $('<span/>');\n",
"\n",
" var fmt_picker = $('<select/>');\n",
" fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
" fmt_picker_span.append(fmt_picker);\n",
" nav_element.append(fmt_picker_span);\n",
" this.format_dropdown = fmt_picker[0];\n",
"\n",
" for (var ind in mpl.extensions) {\n",
" var fmt = mpl.extensions[ind];\n",
" var option = $(\n",
" '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
" fmt_picker.append(option)\n",
" }\n",
"\n",
" // Add hover states to the ui-buttons\n",
" $( \".ui-button\" ).hover(\n",
" function() { $(this).addClass(\"ui-state-hover\");},\n",
" function() { $(this).removeClass(\"ui-state-hover\");}\n",
" );\n",
"\n",
" var status_bar = $('<span class=\"mpl-message\"/>');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"}\n",
"\n",
"mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
" // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
" // which will in turn request a refresh of the image.\n",
" this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
"}\n",
"\n",
"mpl.figure.prototype.send_message = function(type, properties) {\n",
" properties['type'] = type;\n",
" properties['figure_id'] = this.id;\n",
" this.ws.send(JSON.stringify(properties));\n",
"}\n",
"\n",
"mpl.figure.prototype.send_draw_message = function() {\n",
" if (!this.waiting) {\n",
" this.waiting = true;\n",
" this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
" }\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" var format_dropdown = fig.format_dropdown;\n",
" var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
" fig.ondownload(fig, format);\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
" var size = msg['size'];\n",
" if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
" fig._resize_canvas(size[0], size[1]);\n",
" fig.send_message(\"refresh\", {});\n",
" };\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
" var x0 = msg['x0'] / mpl.ratio;\n",
" var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
" var x1 = msg['x1'] / mpl.ratio;\n",
" var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
" x0 = Math.floor(x0) + 0.5;\n",
" y0 = Math.floor(y0) + 0.5;\n",
" x1 = Math.floor(x1) + 0.5;\n",
" y1 = Math.floor(y1) + 0.5;\n",
" var min_x = Math.min(x0, x1);\n",
" var min_y = Math.min(y0, y1);\n",
" var width = Math.abs(x1 - x0);\n",
" var height = Math.abs(y1 - y0);\n",
"\n",
" fig.rubberband_context.clearRect(\n",
" 0, 0, fig.canvas.width, fig.canvas.height);\n",
"\n",
" fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
" // Updates the figure title.\n",
" fig.header.textContent = msg['label'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
" var cursor = msg['cursor'];\n",
" switch(cursor)\n",
" {\n",
" case 0:\n",
" cursor = 'pointer';\n",
" break;\n",
" case 1:\n",
" cursor = 'default';\n",
" break;\n",
" case 2:\n",
" cursor = 'crosshair';\n",
" break;\n",
" case 3:\n",
" cursor = 'move';\n",
" break;\n",
" }\n",
" fig.rubberband_canvas.style.cursor = cursor;\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_message = function(fig, msg) {\n",
" fig.message.textContent = msg['message'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
" // Request the server to send over a new figure.\n",
" fig.send_draw_message();\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
" fig.image_mode = msg['mode'];\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Called whenever the canvas gets updated.\n",
" this.send_message(\"ack\", {});\n",
"}\n",
"\n",
"// A function to construct a web socket function for onmessage handling.\n",
"// Called in the figure constructor.\n",
"mpl.figure.prototype._make_on_message_function = function(fig) {\n",
" return function socket_on_message(evt) {\n",
" if (evt.data instanceof Blob) {\n",
" /* FIXME: We get \"Resource interpreted as Image but\n",
" * transferred with MIME type text/plain:\" errors on\n",
" * Chrome. But how to set the MIME type? It doesn't seem\n",
" * to be part of the websocket stream */\n",
" evt.data.type = \"image/png\";\n",
"\n",
" /* Free the memory for the previous frames */\n",
" if (fig.imageObj.src) {\n",
" (window.URL || window.webkitURL).revokeObjectURL(\n",
" fig.imageObj.src);\n",
" }\n",
"\n",
" fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
" evt.data);\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
" else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
" fig.imageObj.src = evt.data;\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
"\n",
" var msg = JSON.parse(evt.data);\n",
" var msg_type = msg['type'];\n",
"\n",
" // Call the \"handle_{type}\" callback, which takes\n",
" // the figure and JSON message as its only arguments.\n",
" try {\n",
" var callback = fig[\"handle_\" + msg_type];\n",
" } catch (e) {\n",
" console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
" return;\n",
" }\n",
"\n",
" if (callback) {\n",
" try {\n",
" // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
" callback(fig, msg);\n",
" } catch (e) {\n",
" console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
" }\n",
" }\n",
" };\n",
"}\n",
"\n",
"// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
"mpl.findpos = function(e) {\n",
" //this section is from http://www.quirksmode.org/js/events_properties.html\n",
" var targ;\n",
" if (!e)\n",
" e = window.event;\n",
" if (e.target)\n",
" targ = e.target;\n",
" else if (e.srcElement)\n",
" targ = e.srcElement;\n",
" if (targ.nodeType == 3) // defeat Safari bug\n",
" targ = targ.parentNode;\n",
"\n",
" // jQuery normalizes the pageX and pageY\n",
" // pageX,Y are the mouse positions relative to the document\n",
" // offset() returns the position of the element relative to the document\n",
" var x = e.pageX - $(targ).offset().left;\n",
" var y = e.pageY - $(targ).offset().top;\n",
"\n",
" return {\"x\": x, \"y\": y};\n",
"};\n",
"\n",
"/*\n",
" * return a copy of an object with only non-object keys\n",
" * we need this to avoid circular references\n",
" * http://stackoverflow.com/a/24161582/3208463\n",
" */\n",
"function simpleKeys (original) {\n",
" return Object.keys(original).reduce(function (obj, key) {\n",
" if (typeof original[key] !== 'object')\n",
" obj[key] = original[key]\n",
" return obj;\n",
" }, {});\n",
"}\n",
"\n",
"mpl.figure.prototype.mouse_event = function(event, name) {\n",
" var canvas_pos = mpl.findpos(event)\n",
"\n",
" if (name === 'button_press')\n",
" {\n",
" this.canvas.focus();\n",
" this.canvas_div.focus();\n",
" }\n",
"\n",
" var x = canvas_pos.x * mpl.ratio;\n",
" var y = canvas_pos.y * mpl.ratio;\n",
"\n",
" this.send_message(name, {x: x, y: y, button: event.button,\n",
" step: event.step,\n",
" guiEvent: simpleKeys(event)});\n",
"\n",
" /* This prevents the web browser from automatically changing to\n",
" * the text insertion cursor when the button is pressed. We want\n",
" * to control all of the cursor setting manually through the\n",
" * 'cursor' event from matplotlib */\n",
" event.preventDefault();\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" // Handle any extra behaviour associated with a key event\n",
"}\n",
"\n",
"mpl.figure.prototype.key_event = function(event, name) {\n",
"\n",
" // Prevent repeat events\n",
" if (name == 'key_press')\n",
" {\n",
" if (event.which === this._key)\n",
" return;\n",
" else\n",
" this._key = event.which;\n",
" }\n",
" if (name == 'key_release')\n",
" this._key = null;\n",
"\n",
" var value = '';\n",
" if (event.ctrlKey && event.which != 17)\n",
" value += \"ctrl+\";\n",
" if (event.altKey && event.which != 18)\n",
" value += \"alt+\";\n",
" if (event.shiftKey && event.which != 16)\n",
" value += \"shift+\";\n",
"\n",
" value += 'k';\n",
" value += event.which.toString();\n",
"\n",
" this._key_event_extra(event, name);\n",
"\n",
" this.send_message(name, {key: value,\n",
" guiEvent: simpleKeys(event)});\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
" if (name == 'download') {\n",
" this.handle_save(this, null);\n",
" } else {\n",
" this.send_message(\"toolbar_button\", {name: name});\n",
" }\n",
"};\n",
"\n",
"mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
" this.message.textContent = tooltip;\n",
"};\n",
"mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
"\n",
"mpl.extensions = [\"eps\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\n",
"\n",
"mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
" // Create a \"websocket\"-like object which calls the given IPython comm\n",
" // object with the appropriate methods. Currently this is a non binary\n",
" // socket, so there is still some room for performance tuning.\n",
" var ws = {};\n",
"\n",
" ws.close = function() {\n",
" comm.close()\n",
" };\n",
" ws.send = function(m) {\n",
" //console.log('sending', m);\n",
" comm.send(m);\n",
" };\n",
" // Register the callback with on_msg.\n",
" comm.on_msg(function(msg) {\n",
" //console.log('receiving', msg['content']['data'], msg);\n",
" // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
" ws.onmessage(msg['content']['data'])\n",
" });\n",
" return ws;\n",
"}\n",
"\n",
"mpl.mpl_figure_comm = function(comm, msg) {\n",
" // This is the function which gets called when the mpl process\n",
" // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
"\n",
" var id = msg.content.data.id;\n",
" // Get hold of the div created by the display call when the Comm\n",
" // socket was opened in Python.\n",
" var element = $(\"#\" + id);\n",
" var ws_proxy = comm_websocket_adapter(comm)\n",
"\n",
" function ondownload(figure, format) {\n",
" window.open(figure.imageObj.src);\n",
" }\n",
"\n",
" var fig = new mpl.figure(id, ws_proxy,\n",
" ondownload,\n",
" element.get(0));\n",
"\n",
" // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
" // web socket which is closed, not our websocket->open comm proxy.\n",
" ws_proxy.onopen();\n",
"\n",
" fig.parent_element = element.get(0);\n",
" fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
" if (!fig.cell_info) {\n",
" console.error(\"Failed to find cell for figure\", id, fig);\n",
" return;\n",
" }\n",
"\n",
" var output_index = fig.cell_info[2]\n",
" var cell = fig.cell_info[0];\n",
"\n",
"};\n",
"\n",
"mpl.figure.prototype.handle_close = function(fig, msg) {\n",
" var width = fig.canvas.width/mpl.ratio\n",
" fig.root.unbind('remove')\n",
"\n",
" // Update the output cell to use the data from the current canvas.\n",
" fig.push_to_output();\n",
" var dataURL = fig.canvas.toDataURL();\n",
" // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
" // the notebook keyboard shortcuts fail.\n",
" IPython.keyboard_manager.enable()\n",
" $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
" fig.close_ws(fig, msg);\n",
"}\n",
"\n",
"mpl.figure.prototype.close_ws = function(fig, msg){\n",
" fig.send_message('closing', msg);\n",
" // fig.ws.close()\n",
"}\n",
"\n",
"mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
" // Turn the data on the canvas into data in the output cell.\n",
" var width = this.canvas.width/mpl.ratio\n",
" var dataURL = this.canvas.toDataURL();\n",
" this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Tell IPython that the notebook contents must change.\n",
" IPython.notebook.set_dirty(true);\n",
" this.send_message(\"ack\", {});\n",
" var fig = this;\n",
" // Wait a second, then push the new image to the DOM so\n",
" // that it is saved nicely (might be nice to debounce this).\n",
" setTimeout(function () { fig.push_to_output() }, 1000);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('<div/>')\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items){\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) { continue; };\n",
"\n",
" var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" // Add the status bar.\n",
" var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"\n",
" // Add the close button to the window.\n",
" var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
" var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
" button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
" button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
" buttongrp.append(button);\n",
" var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
" titlebar.prepend(buttongrp);\n",
"}\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(el){\n",
" var fig = this\n",
" el.on(\"remove\", function(){\n",
"\tfig.close_ws(fig, {});\n",
" });\n",
"}\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(el){\n",
" // this is important to make the div 'focusable\n",
" el.attr('tabindex', 0)\n",
" // reach out to IPython and tell the keyboard manager to turn it's self\n",
" // off when our div gets focus\n",
"\n",
" // location in version 3\n",
" if (IPython.notebook.keyboard_manager) {\n",
" IPython.notebook.keyboard_manager.register_events(el);\n",
" }\n",
" else {\n",
" // location in version 2\n",
" IPython.keyboard_manager.register_events(el);\n",
" }\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" var manager = IPython.notebook.keyboard_manager;\n",
" if (!manager)\n",
" manager = IPython.keyboard_manager;\n",
"\n",
" // Check for shift+enter\n",
" if (event.shiftKey && event.which == 13) {\n",
" this.canvas_div.blur();\n",
" event.shiftKey = false;\n",
" // Send a \"J\" for go to next cell\n",
" event.which = 74;\n",
" event.keyCode = 74;\n",
" manager.command_mode();\n",
" manager.handle_keydown(event);\n",
" }\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" fig.ondownload(fig, null);\n",
"}\n",
"\n",
"\n",
"mpl.find_output_cell = function(html_output) {\n",
" // Return the cell and output element which can be found *uniquely* in the notebook.\n",
" // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
" // IPython event is triggered only after the cells have been serialised, which for\n",
" // our purposes (turning an active figure into a static one), is too late.\n",
" var cells = IPython.notebook.get_cells();\n",
" var ncells = cells.length;\n",
" for (var i=0; i<ncells; i++) {\n",
" var cell = cells[i];\n",
" if (cell.cell_type === 'code'){\n",
" for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
" var data = cell.output_area.outputs[j];\n",
" if (data.data) {\n",
" // IPython >= 3 moved mimebundle to data attribute of output\n",
" data = data.data;\n",
" }\n",
" if (data['text/html'] == html_output) {\n",
" return [cell, data, j];\n",
" }\n",
" }\n",
" }\n",
" }\n",
"}\n",
"\n",
"// Register the function which deals with the matplotlib target/channel.\n",
"// The kernel may be null if the page has been refreshed.\n",
"if (IPython.notebook.kernel != null) {\n",
" IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
"}\n"
],
"text/plain": [
"<IPython.core.display.Javascript object>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"<div id='46683c32-eb4f-4526-b617-e197e8697fea'></div>"
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{
"name": "stderr",
"output_type": "stream",
"text": [
"/home/walch/.local/lib/python3.6/site-packages/dask/array/numpy_compat.py:28: RuntimeWarning: invalid value encountered in true_divide\n",
" x = np.divide(x1, x2, out)\n"
]
},
{
"ename": "NameError",
"evalue": "name 'SIS_gr' is not defined",
"output_type": "error",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)",
"\u001b[0;32m<ipython-input-30-0eb145d16a63>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m 11\u001b[0m \u001b[0;31m# SIS_gr = group_data(SIS_df)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 12\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 13\u001b[0;31m \u001b[0mplot_array\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mSIS_gr\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mSIS\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 14\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 15\u001b[0m \u001b[0;31m# prepare data\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;31mNameError\u001b[0m: name 'SIS_gr' is not defined"
]
}
],
"source": [
"plt.figure(figsize = (20, 12))\n",
"for i, year in enumerate(range(2004, 2005)):\n",
"\n",
" fp = '/work/hyenergy/raw/MeteoSwiss_satellite/raw_data/global/msg.SIS.H_ch02.lonlat_%d*.nc' %year\n",
" SIS_df = load_data(fp)\n",
"\n",
" SIS_df = change_timestamp(SIS_df)\n",
" solpos = get_solpos(SIS_df)\n",
" SIS_df = round_solpos(SIS_df, solpos)\n",
" SIS_gr = group_data(SIS_df)\n",
"\n",
" plot_array = SIS_gr.SIS\n",
" \n",
" # prepare data\n",
" data = plot_array.T.values\n",
" # theta = np.append(plot_array.aspect_round * np.pi / 180, 2*np.pi) + (0.5 * ASP_ROUND * np.pi / 180)\n",
" theta = plot_array.azimuth * np.pi / 180 - (0.5 * RND * np.pi / 180)\n",
" tilts = plot_array.apparent_zenith\n",
"\n",
" X, Y = np.meshgrid( theta, tilts )\n",
"\n",
" # SET PROPERTIES\n",
" ax = plt.subplot(3, 4, i+1, projection='polar')\n",
" ax.set_theta_zero_location('N')\n",
" ax.set_theta_direction(-1)\n",
" ax.set_ylim((0, 90))\n",
" ax.set_title('%d' %year)\n",
"\n",
" plt.pcolor(X, Y, data, vmax = 750)\n",
" cb = plt.colorbar() # extend = get_cbar_extent( data, VMIN, VMAX )\n",
" cb.set_label('Global solar radiation (W/m2)')\n",
"\n",
" # FORMATTING\n",
" xticks = ['N', 'NE', 'E', 'SE', 'S', 'SW', 'W', 'NW']\n",
" ax.set_xticklabels( xticks )\n",
" # ax.text(10,120, 'Sun zenith')\n",
" ax.set_rlabel_position(20) # get radial labels away from plotted line\n",
" #yticks = [str(int(tilt)) + '°' for tilt in ax.get_yticks()]\n",
" #ax.set_yticklabels( yticks )\n",
"\n",
"plt.tight_layout()\n",
"plt.show()\n",
"# plt.savefig('GHI_years_max.png', dpi = 300) "
]
},
{
"cell_type": "code",
"execution_count": 48,
"metadata": {},
"outputs": [
{
"data": {
"application/javascript": [
"/* Put everything inside the global mpl namespace */\n",
"window.mpl = {};\n",
"\n",
"\n",
"mpl.get_websocket_type = function() {\n",
" if (typeof(WebSocket) !== 'undefined') {\n",
" return WebSocket;\n",
" } else if (typeof(MozWebSocket) !== 'undefined') {\n",
" return MozWebSocket;\n",
" } else {\n",
" alert('Your browser does not have WebSocket support.' +\n",
" 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
" 'Firefox 4 and 5 are also supported but you ' +\n",
" 'have to enable WebSockets in about:config.');\n",
" };\n",
"}\n",
"\n",
"mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
" this.id = figure_id;\n",
"\n",
" this.ws = websocket;\n",
"\n",
" this.supports_binary = (this.ws.binaryType != undefined);\n",
"\n",
" if (!this.supports_binary) {\n",
" var warnings = document.getElementById(\"mpl-warnings\");\n",
" if (warnings) {\n",
" warnings.style.display = 'block';\n",
" warnings.textContent = (\n",
" \"This browser does not support binary websocket messages. \" +\n",
" \"Performance may be slow.\");\n",
" }\n",
" }\n",
"\n",
" this.imageObj = new Image();\n",
"\n",
" this.context = undefined;\n",
" this.message = undefined;\n",
" this.canvas = undefined;\n",
" this.rubberband_canvas = undefined;\n",
" this.rubberband_context = undefined;\n",
" this.format_dropdown = undefined;\n",
"\n",
" this.image_mode = 'full';\n",
"\n",
" this.root = $('<div/>');\n",
" this._root_extra_style(this.root)\n",
" this.root.attr('style', 'display: inline-block');\n",
"\n",
" $(parent_element).append(this.root);\n",
"\n",
" this._init_header(this);\n",
" this._init_canvas(this);\n",
" this._init_toolbar(this);\n",
"\n",
" var fig = this;\n",
"\n",
" this.waiting = false;\n",
"\n",
" this.ws.onopen = function () {\n",
" fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
" fig.send_message(\"send_image_mode\", {});\n",
" if (mpl.ratio != 1) {\n",
" fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
" }\n",
" fig.send_message(\"refresh\", {});\n",
" }\n",
"\n",
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" // Full images could contain transparency (where diff images\n",
" // almost always do), so we need to clear the canvas so that\n",
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" fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
" }\n",
" fig.context.drawImage(fig.imageObj, 0, 0);\n",
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"\n",
" this.imageObj.onunload = function() {\n",
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"\n",
" this.ws.onmessage = this._make_on_message_function(this);\n",
"\n",
" this.ondownload = ondownload;\n",
"}\n",
"\n",
"mpl.figure.prototype._init_header = function() {\n",
" var titlebar = $(\n",
" '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
" 'ui-helper-clearfix\"/>');\n",
" var titletext = $(\n",
" '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
" 'text-align: center; padding: 3px;\"/>');\n",
" titlebar.append(titletext)\n",
" this.root.append(titlebar);\n",
" this.header = titletext[0];\n",
"}\n",
"\n",
"\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
"\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._init_canvas = function() {\n",
" var fig = this;\n",
"\n",
" var canvas_div = $('<div/>');\n",
"\n",
" canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
"\n",
" function canvas_keyboard_event(event) {\n",
" return fig.key_event(event, event['data']);\n",
" }\n",
"\n",
" canvas_div.keydown('key_press', canvas_keyboard_event);\n",
" canvas_div.keyup('key_release', canvas_keyboard_event);\n",
" this.canvas_div = canvas_div\n",
" this._canvas_extra_style(canvas_div)\n",
" this.root.append(canvas_div);\n",
"\n",
" var canvas = $('<canvas/>');\n",
" canvas.addClass('mpl-canvas');\n",
" canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
"\n",
" this.canvas = canvas[0];\n",
" this.context = canvas[0].getContext(\"2d\");\n",
"\n",
" var backingStore = this.context.backingStorePixelRatio ||\n",
"\tthis.context.webkitBackingStorePixelRatio ||\n",
"\tthis.context.mozBackingStorePixelRatio ||\n",
"\tthis.context.msBackingStorePixelRatio ||\n",
"\tthis.context.oBackingStorePixelRatio ||\n",
"\tthis.context.backingStorePixelRatio || 1;\n",
"\n",
" mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
"\n",
" var rubberband = $('<canvas/>');\n",
" rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
"\n",
" var pass_mouse_events = true;\n",
"\n",
" canvas_div.resizable({\n",
" start: function(event, ui) {\n",
" pass_mouse_events = false;\n",
" },\n",
" resize: function(event, ui) {\n",
" fig.request_resize(ui.size.width, ui.size.height);\n",
" },\n",
" stop: function(event, ui) {\n",
" pass_mouse_events = true;\n",
" fig.request_resize(ui.size.width, ui.size.height);\n",
" },\n",
" });\n",
"\n",
" function mouse_event_fn(event) {\n",
" if (pass_mouse_events)\n",
" return fig.mouse_event(event, event['data']);\n",
" }\n",
"\n",
" rubberband.mousedown('button_press', mouse_event_fn);\n",
" rubberband.mouseup('button_release', mouse_event_fn);\n",
" // Throttle sequential mouse events to 1 every 20ms.\n",
" rubberband.mousemove('motion_notify', mouse_event_fn);\n",
"\n",
" rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
" rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
"\n",
" canvas_div.on(\"wheel\", function (event) {\n",
" event = event.originalEvent;\n",
" event['data'] = 'scroll'\n",
" if (event.deltaY < 0) {\n",
" event.step = 1;\n",
" } else {\n",
" event.step = -1;\n",
" }\n",
" mouse_event_fn(event);\n",
" });\n",
"\n",
" canvas_div.append(canvas);\n",
" canvas_div.append(rubberband);\n",
"\n",
" this.rubberband = rubberband;\n",
" this.rubberband_canvas = rubberband[0];\n",
" this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
" this.rubberband_context.strokeStyle = \"#000000\";\n",
"\n",
" this._resize_canvas = function(width, height) {\n",
" // Keep the size of the canvas, canvas container, and rubber band\n",
" // canvas in synch.\n",
" canvas_div.css('width', width)\n",
" canvas_div.css('height', height)\n",
"\n",
" canvas.attr('width', width * mpl.ratio);\n",
" canvas.attr('height', height * mpl.ratio);\n",
" canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
"\n",
" rubberband.attr('width', width);\n",
" rubberband.attr('height', height);\n",
" }\n",
"\n",
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" // upon first draw.\n",
" this._resize_canvas(600, 600);\n",
"\n",
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" $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
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" });\n",
"\n",
" function set_focus () {\n",
" canvas.focus();\n",
" canvas_div.focus();\n",
" }\n",
"\n",
" window.setTimeout(set_focus, 100);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('<div/>')\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items) {\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) {\n",
" // put a spacer in here.\n",
" continue;\n",
" }\n",
" var button = $('<button/>');\n",
" button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
" 'ui-button-icon-only');\n",
" button.attr('role', 'button');\n",
" button.attr('aria-disabled', 'false');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
"\n",
" var icon_img = $('<span/>');\n",
" icon_img.addClass('ui-button-icon-primary ui-icon');\n",
" icon_img.addClass(image);\n",
" icon_img.addClass('ui-corner-all');\n",
"\n",
" var tooltip_span = $('<span/>');\n",
" tooltip_span.addClass('ui-button-text');\n",
" tooltip_span.html(tooltip);\n",
"\n",
" button.append(icon_img);\n",
" button.append(tooltip_span);\n",
"\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" var fmt_picker_span = $('<span/>');\n",
"\n",
" var fmt_picker = $('<select/>');\n",
" fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
" fmt_picker_span.append(fmt_picker);\n",
" nav_element.append(fmt_picker_span);\n",
" this.format_dropdown = fmt_picker[0];\n",
"\n",
" for (var ind in mpl.extensions) {\n",
" var fmt = mpl.extensions[ind];\n",
" var option = $(\n",
" '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
" fmt_picker.append(option)\n",
" }\n",
"\n",
" // Add hover states to the ui-buttons\n",
" $( \".ui-button\" ).hover(\n",
" function() { $(this).addClass(\"ui-state-hover\");},\n",
" function() { $(this).removeClass(\"ui-state-hover\");}\n",
" );\n",
"\n",
" var status_bar = $('<span class=\"mpl-message\"/>');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"}\n",
"\n",
"mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
" // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
" // which will in turn request a refresh of the image.\n",
" this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
"}\n",
"\n",
"mpl.figure.prototype.send_message = function(type, properties) {\n",
" properties['type'] = type;\n",
" properties['figure_id'] = this.id;\n",
" this.ws.send(JSON.stringify(properties));\n",
"}\n",
"\n",
"mpl.figure.prototype.send_draw_message = function() {\n",
" if (!this.waiting) {\n",
" this.waiting = true;\n",
" this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
" }\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" var format_dropdown = fig.format_dropdown;\n",
" var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
" fig.ondownload(fig, format);\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
" var size = msg['size'];\n",
" if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
" fig._resize_canvas(size[0], size[1]);\n",
" fig.send_message(\"refresh\", {});\n",
" };\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
" var x0 = msg['x0'] / mpl.ratio;\n",
" var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
" var x1 = msg['x1'] / mpl.ratio;\n",
" var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
" x0 = Math.floor(x0) + 0.5;\n",
" y0 = Math.floor(y0) + 0.5;\n",
" x1 = Math.floor(x1) + 0.5;\n",
" y1 = Math.floor(y1) + 0.5;\n",
" var min_x = Math.min(x0, x1);\n",
" var min_y = Math.min(y0, y1);\n",
" var width = Math.abs(x1 - x0);\n",
" var height = Math.abs(y1 - y0);\n",
"\n",
" fig.rubberband_context.clearRect(\n",
" 0, 0, fig.canvas.width, fig.canvas.height);\n",
"\n",
" fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
" // Updates the figure title.\n",
" fig.header.textContent = msg['label'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
" var cursor = msg['cursor'];\n",
" switch(cursor)\n",
" {\n",
" case 0:\n",
" cursor = 'pointer';\n",
" break;\n",
" case 1:\n",
" cursor = 'default';\n",
" break;\n",
" case 2:\n",
" cursor = 'crosshair';\n",
" break;\n",
" case 3:\n",
" cursor = 'move';\n",
" break;\n",
" }\n",
" fig.rubberband_canvas.style.cursor = cursor;\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_message = function(fig, msg) {\n",
" fig.message.textContent = msg['message'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
" // Request the server to send over a new figure.\n",
" fig.send_draw_message();\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
" fig.image_mode = msg['mode'];\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Called whenever the canvas gets updated.\n",
" this.send_message(\"ack\", {});\n",
"}\n",
"\n",
"// A function to construct a web socket function for onmessage handling.\n",
"// Called in the figure constructor.\n",
"mpl.figure.prototype._make_on_message_function = function(fig) {\n",
" return function socket_on_message(evt) {\n",
" if (evt.data instanceof Blob) {\n",
" /* FIXME: We get \"Resource interpreted as Image but\n",
" * transferred with MIME type text/plain:\" errors on\n",
" * Chrome. But how to set the MIME type? It doesn't seem\n",
" * to be part of the websocket stream */\n",
" evt.data.type = \"image/png\";\n",
"\n",
" /* Free the memory for the previous frames */\n",
" if (fig.imageObj.src) {\n",
" (window.URL || window.webkitURL).revokeObjectURL(\n",
" fig.imageObj.src);\n",
" }\n",
"\n",
" fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
" evt.data);\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
" else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
" fig.imageObj.src = evt.data;\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
"\n",
" var msg = JSON.parse(evt.data);\n",
" var msg_type = msg['type'];\n",
"\n",
" // Call the \"handle_{type}\" callback, which takes\n",
" // the figure and JSON message as its only arguments.\n",
" try {\n",
" var callback = fig[\"handle_\" + msg_type];\n",
" } catch (e) {\n",
" console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
" return;\n",
" }\n",
"\n",
" if (callback) {\n",
" try {\n",
" // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
" callback(fig, msg);\n",
" } catch (e) {\n",
" console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
" }\n",
" }\n",
" };\n",
"}\n",
"\n",
"// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
"mpl.findpos = function(e) {\n",
" //this section is from http://www.quirksmode.org/js/events_properties.html\n",
" var targ;\n",
" if (!e)\n",
" e = window.event;\n",
" if (e.target)\n",
" targ = e.target;\n",
" else if (e.srcElement)\n",
" targ = e.srcElement;\n",
" if (targ.nodeType == 3) // defeat Safari bug\n",
" targ = targ.parentNode;\n",
"\n",
" // jQuery normalizes the pageX and pageY\n",
" // pageX,Y are the mouse positions relative to the document\n",
" // offset() returns the position of the element relative to the document\n",
" var x = e.pageX - $(targ).offset().left;\n",
" var y = e.pageY - $(targ).offset().top;\n",
"\n",
" return {\"x\": x, \"y\": y};\n",
"};\n",
"\n",
"/*\n",
" * return a copy of an object with only non-object keys\n",
" * we need this to avoid circular references\n",
" * http://stackoverflow.com/a/24161582/3208463\n",
" */\n",
"function simpleKeys (original) {\n",
" return Object.keys(original).reduce(function (obj, key) {\n",
" if (typeof original[key] !== 'object')\n",
" obj[key] = original[key]\n",
" return obj;\n",
" }, {});\n",
"}\n",
"\n",
"mpl.figure.prototype.mouse_event = function(event, name) {\n",
" var canvas_pos = mpl.findpos(event)\n",
"\n",
" if (name === 'button_press')\n",
" {\n",
" this.canvas.focus();\n",
" this.canvas_div.focus();\n",
" }\n",
"\n",
" var x = canvas_pos.x * mpl.ratio;\n",
" var y = canvas_pos.y * mpl.ratio;\n",
"\n",
" this.send_message(name, {x: x, y: y, button: event.button,\n",
" step: event.step,\n",
" guiEvent: simpleKeys(event)});\n",
"\n",
" /* This prevents the web browser from automatically changing to\n",
" * the text insertion cursor when the button is pressed. We want\n",
" * to control all of the cursor setting manually through the\n",
" * 'cursor' event from matplotlib */\n",
" event.preventDefault();\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" // Handle any extra behaviour associated with a key event\n",
"}\n",
"\n",
"mpl.figure.prototype.key_event = function(event, name) {\n",
"\n",
" // Prevent repeat events\n",
" if (name == 'key_press')\n",
" {\n",
" if (event.which === this._key)\n",
" return;\n",
" else\n",
" this._key = event.which;\n",
" }\n",
" if (name == 'key_release')\n",
" this._key = null;\n",
"\n",
" var value = '';\n",
" if (event.ctrlKey && event.which != 17)\n",
" value += \"ctrl+\";\n",
" if (event.altKey && event.which != 18)\n",
" value += \"alt+\";\n",
" if (event.shiftKey && event.which != 16)\n",
" value += \"shift+\";\n",
"\n",
" value += 'k';\n",
" value += event.which.toString();\n",
"\n",
" this._key_event_extra(event, name);\n",
"\n",
" this.send_message(name, {key: value,\n",
" guiEvent: simpleKeys(event)});\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
" if (name == 'download') {\n",
" this.handle_save(this, null);\n",
" } else {\n",
" this.send_message(\"toolbar_button\", {name: name});\n",
" }\n",
"};\n",
"\n",
"mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
" this.message.textContent = tooltip;\n",
"};\n",
"mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
"\n",
"mpl.extensions = [\"eps\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\n",
"\n",
"mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
" // Create a \"websocket\"-like object which calls the given IPython comm\n",
" // object with the appropriate methods. Currently this is a non binary\n",
" // socket, so there is still some room for performance tuning.\n",
" var ws = {};\n",
"\n",
" ws.close = function() {\n",
" comm.close()\n",
" };\n",
" ws.send = function(m) {\n",
" //console.log('sending', m);\n",
" comm.send(m);\n",
" };\n",
" // Register the callback with on_msg.\n",
" comm.on_msg(function(msg) {\n",
" //console.log('receiving', msg['content']['data'], msg);\n",
" // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
" ws.onmessage(msg['content']['data'])\n",
" });\n",
" return ws;\n",
"}\n",
"\n",
"mpl.mpl_figure_comm = function(comm, msg) {\n",
" // This is the function which gets called when the mpl process\n",
" // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
"\n",
" var id = msg.content.data.id;\n",
" // Get hold of the div created by the display call when the Comm\n",
" // socket was opened in Python.\n",
" var element = $(\"#\" + id);\n",
" var ws_proxy = comm_websocket_adapter(comm)\n",
"\n",
" function ondownload(figure, format) {\n",
" window.open(figure.imageObj.src);\n",
" }\n",
"\n",
" var fig = new mpl.figure(id, ws_proxy,\n",
" ondownload,\n",
" element.get(0));\n",
"\n",
" // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
" // web socket which is closed, not our websocket->open comm proxy.\n",
" ws_proxy.onopen();\n",
"\n",
" fig.parent_element = element.get(0);\n",
" fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
" if (!fig.cell_info) {\n",
" console.error(\"Failed to find cell for figure\", id, fig);\n",
" return;\n",
" }\n",
"\n",
" var output_index = fig.cell_info[2]\n",
" var cell = fig.cell_info[0];\n",
"\n",
"};\n",
"\n",
"mpl.figure.prototype.handle_close = function(fig, msg) {\n",
" var width = fig.canvas.width/mpl.ratio\n",
" fig.root.unbind('remove')\n",
"\n",
" // Update the output cell to use the data from the current canvas.\n",
" fig.push_to_output();\n",
" var dataURL = fig.canvas.toDataURL();\n",
" // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
" // the notebook keyboard shortcuts fail.\n",
" IPython.keyboard_manager.enable()\n",
" $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
" fig.close_ws(fig, msg);\n",
"}\n",
"\n",
"mpl.figure.prototype.close_ws = function(fig, msg){\n",
" fig.send_message('closing', msg);\n",
" // fig.ws.close()\n",
"}\n",
"\n",
"mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
" // Turn the data on the canvas into data in the output cell.\n",
" var width = this.canvas.width/mpl.ratio\n",
" var dataURL = this.canvas.toDataURL();\n",
" this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Tell IPython that the notebook contents must change.\n",
" IPython.notebook.set_dirty(true);\n",
" this.send_message(\"ack\", {});\n",
" var fig = this;\n",
" // Wait a second, then push the new image to the DOM so\n",
" // that it is saved nicely (might be nice to debounce this).\n",
" setTimeout(function () { fig.push_to_output() }, 1000);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('<div/>')\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items){\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) { continue; };\n",
"\n",
" var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" // Add the status bar.\n",
" var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"\n",
" // Add the close button to the window.\n",
" var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
" var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
" button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
" button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
" buttongrp.append(button);\n",
" var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
" titlebar.prepend(buttongrp);\n",
"}\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(el){\n",
" var fig = this\n",
" el.on(\"remove\", function(){\n",
"\tfig.close_ws(fig, {});\n",
" });\n",
"}\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(el){\n",
" // this is important to make the div 'focusable\n",
" el.attr('tabindex', 0)\n",
" // reach out to IPython and tell the keyboard manager to turn it's self\n",
" // off when our div gets focus\n",
"\n",
" // location in version 3\n",
" if (IPython.notebook.keyboard_manager) {\n",
" IPython.notebook.keyboard_manager.register_events(el);\n",
" }\n",
" else {\n",
" // location in version 2\n",
" IPython.keyboard_manager.register_events(el);\n",
" }\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" var manager = IPython.notebook.keyboard_manager;\n",
" if (!manager)\n",
" manager = IPython.keyboard_manager;\n",
"\n",
" // Check for shift+enter\n",
" if (event.shiftKey && event.which == 13) {\n",
" this.canvas_div.blur();\n",
" event.shiftKey = false;\n",
" // Send a \"J\" for go to next cell\n",
" event.which = 74;\n",
" event.keyCode = 74;\n",
" manager.command_mode();\n",
" manager.handle_keydown(event);\n",
" }\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" fig.ondownload(fig, null);\n",
"}\n",
"\n",
"\n",
"mpl.find_output_cell = function(html_output) {\n",
" // Return the cell and output element which can be found *uniquely* in the notebook.\n",
" // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
" // IPython event is triggered only after the cells have been serialised, which for\n",
" // our purposes (turning an active figure into a static one), is too late.\n",
" var cells = IPython.notebook.get_cells();\n",
" var ncells = cells.length;\n",
" for (var i=0; i<ncells; i++) {\n",
" var cell = cells[i];\n",
" if (cell.cell_type === 'code'){\n",
" for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
" var data = cell.output_area.outputs[j];\n",
" if (data.data) {\n",
" // IPython >= 3 moved mimebundle to data attribute of output\n",
" data = data.data;\n",
" }\n",
" if (data['text/html'] == html_output) {\n",
" return [cell, data, j];\n",
" }\n",
" }\n",
" }\n",
" }\n",
"}\n",
"\n",
"// Register the function which deals with the matplotlib target/channel.\n",
"// The kernel may be null if the page has been refreshed.\n",
"if (IPython.notebook.kernel != null) {\n",
" IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
"}\n"
],
"text/plain": [
"<IPython.core.display.Javascript object>"
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\" width=\"640\">"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.figure()\n",
"# prepare data\n",
"data = SIS_gr.SIS.values\n",
"# theta = np.append(plot_array.aspect_round * np.pi / 180, 2*np.pi) + (0.5 * ASP_ROUND * np.pi / 180)\n",
"theta = SIS_gr.index.values * np.pi / 180\n",
"\n",
"# SET PROPERTIES\n",
"ax = plt.subplot(projection='polar') # \n",
"ax.set_theta_zero_location('N')\n",
"ax.set_theta_direction(-1)\n",
"ax.set_title('Annual total GHI ($kWh/m2$) in %d' %year)\n",
"\n",
"plt.bar(theta, data, width=5 * np.pi/180)\n",
"\n",
"# FORMATTING\n",
"xticks = ['N', 'NE', 'E', 'SE', 'S', 'SW', 'W', 'NW']\n",
"ax.set_xticklabels( xticks )\n",
"\n",
"plt.tight_layout()\n",
"plt.show()\n"
]
},
{
"cell_type": "code",
"execution_count": 54,
"metadata": {
"scrolled": false
},
"outputs": [
{
"data": {
"application/javascript": [
"/* Put everything inside the global mpl namespace */\n",
"window.mpl = {};\n",
"\n",
"\n",
"mpl.get_websocket_type = function() {\n",
" if (typeof(WebSocket) !== 'undefined') {\n",
" return WebSocket;\n",
" } else if (typeof(MozWebSocket) !== 'undefined') {\n",
" return MozWebSocket;\n",
" } else {\n",
" alert('Your browser does not have WebSocket support.' +\n",
" 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
" 'Firefox 4 and 5 are also supported but you ' +\n",
" 'have to enable WebSockets in about:config.');\n",
" };\n",
"}\n",
"\n",
"mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
" this.id = figure_id;\n",
"\n",
" this.ws = websocket;\n",
"\n",
" this.supports_binary = (this.ws.binaryType != undefined);\n",
"\n",
" if (!this.supports_binary) {\n",
" var warnings = document.getElementById(\"mpl-warnings\");\n",
" if (warnings) {\n",
" warnings.style.display = 'block';\n",
" warnings.textContent = (\n",
" \"This browser does not support binary websocket messages. \" +\n",
" \"Performance may be slow.\");\n",
" }\n",
" }\n",
"\n",
" this.imageObj = new Image();\n",
"\n",
" this.context = undefined;\n",
" this.message = undefined;\n",
" this.canvas = undefined;\n",
" this.rubberband_canvas = undefined;\n",
" this.rubberband_context = undefined;\n",
" this.format_dropdown = undefined;\n",
"\n",
" this.image_mode = 'full';\n",
"\n",
" this.root = $('<div/>');\n",
" this._root_extra_style(this.root)\n",
" this.root.attr('style', 'display: inline-block');\n",
"\n",
" $(parent_element).append(this.root);\n",
"\n",
" this._init_header(this);\n",
" this._init_canvas(this);\n",
" this._init_toolbar(this);\n",
"\n",
" var fig = this;\n",
"\n",
" this.waiting = false;\n",
"\n",
" this.ws.onopen = function () {\n",
" fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
" fig.send_message(\"send_image_mode\", {});\n",
" if (mpl.ratio != 1) {\n",
" fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
" }\n",
" fig.send_message(\"refresh\", {});\n",
" }\n",
"\n",
" this.imageObj.onload = function() {\n",
" if (fig.image_mode == 'full') {\n",
" // Full images could contain transparency (where diff images\n",
" // almost always do), so we need to clear the canvas so that\n",
" // there is no ghosting.\n",
" fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
" }\n",
" fig.context.drawImage(fig.imageObj, 0, 0);\n",
" };\n",
"\n",
" this.imageObj.onunload = function() {\n",
" fig.ws.close();\n",
" }\n",
"\n",
" this.ws.onmessage = this._make_on_message_function(this);\n",
"\n",
" this.ondownload = ondownload;\n",
"}\n",
"\n",
"mpl.figure.prototype._init_header = function() {\n",
" var titlebar = $(\n",
" '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
" 'ui-helper-clearfix\"/>');\n",
" var titletext = $(\n",
" '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
" 'text-align: center; padding: 3px;\"/>');\n",
" titlebar.append(titletext)\n",
" this.root.append(titlebar);\n",
" this.header = titletext[0];\n",
"}\n",
"\n",
"\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
"\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._init_canvas = function() {\n",
" var fig = this;\n",
"\n",
" var canvas_div = $('<div/>');\n",
"\n",
" canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
"\n",
" function canvas_keyboard_event(event) {\n",
" return fig.key_event(event, event['data']);\n",
" }\n",
"\n",
" canvas_div.keydown('key_press', canvas_keyboard_event);\n",
" canvas_div.keyup('key_release', canvas_keyboard_event);\n",
" this.canvas_div = canvas_div\n",
" this._canvas_extra_style(canvas_div)\n",
" this.root.append(canvas_div);\n",
"\n",
" var canvas = $('<canvas/>');\n",
" canvas.addClass('mpl-canvas');\n",
" canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
"\n",
" this.canvas = canvas[0];\n",
" this.context = canvas[0].getContext(\"2d\");\n",
"\n",
" var backingStore = this.context.backingStorePixelRatio ||\n",
"\tthis.context.webkitBackingStorePixelRatio ||\n",
"\tthis.context.mozBackingStorePixelRatio ||\n",
"\tthis.context.msBackingStorePixelRatio ||\n",
"\tthis.context.oBackingStorePixelRatio ||\n",
"\tthis.context.backingStorePixelRatio || 1;\n",
"\n",
" mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
"\n",
" var rubberband = $('<canvas/>');\n",
" rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
"\n",
" var pass_mouse_events = true;\n",
"\n",
" canvas_div.resizable({\n",
" start: function(event, ui) {\n",
" pass_mouse_events = false;\n",
" },\n",
" resize: function(event, ui) {\n",
" fig.request_resize(ui.size.width, ui.size.height);\n",
" },\n",
" stop: function(event, ui) {\n",
" pass_mouse_events = true;\n",
" fig.request_resize(ui.size.width, ui.size.height);\n",
" },\n",
" });\n",
"\n",
" function mouse_event_fn(event) {\n",
" if (pass_mouse_events)\n",
" return fig.mouse_event(event, event['data']);\n",
" }\n",
"\n",
" rubberband.mousedown('button_press', mouse_event_fn);\n",
" rubberband.mouseup('button_release', mouse_event_fn);\n",
" // Throttle sequential mouse events to 1 every 20ms.\n",
" rubberband.mousemove('motion_notify', mouse_event_fn);\n",
"\n",
" rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
" rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
"\n",
" canvas_div.on(\"wheel\", function (event) {\n",
" event = event.originalEvent;\n",
" event['data'] = 'scroll'\n",
" if (event.deltaY < 0) {\n",
" event.step = 1;\n",
" } else {\n",
" event.step = -1;\n",
" }\n",
" mouse_event_fn(event);\n",
" });\n",
"\n",
" canvas_div.append(canvas);\n",
" canvas_div.append(rubberband);\n",
"\n",
" this.rubberband = rubberband;\n",
" this.rubberband_canvas = rubberband[0];\n",
" this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
" this.rubberband_context.strokeStyle = \"#000000\";\n",
"\n",
" this._resize_canvas = function(width, height) {\n",
" // Keep the size of the canvas, canvas container, and rubber band\n",
" // canvas in synch.\n",
" canvas_div.css('width', width)\n",
" canvas_div.css('height', height)\n",
"\n",
" canvas.attr('width', width * mpl.ratio);\n",
" canvas.attr('height', height * mpl.ratio);\n",
" canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
"\n",
" rubberband.attr('width', width);\n",
" rubberband.attr('height', height);\n",
" }\n",
"\n",
" // Set the figure to an initial 600x600px, this will subsequently be updated\n",
" // upon first draw.\n",
" this._resize_canvas(600, 600);\n",
"\n",
" // Disable right mouse context menu.\n",
" $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
" return false;\n",
" });\n",
"\n",
" function set_focus () {\n",
" canvas.focus();\n",
" canvas_div.focus();\n",
" }\n",
"\n",
" window.setTimeout(set_focus, 100);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('<div/>')\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items) {\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) {\n",
" // put a spacer in here.\n",
" continue;\n",
" }\n",
" var button = $('<button/>');\n",
" button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
" 'ui-button-icon-only');\n",
" button.attr('role', 'button');\n",
" button.attr('aria-disabled', 'false');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
"\n",
" var icon_img = $('<span/>');\n",
" icon_img.addClass('ui-button-icon-primary ui-icon');\n",
" icon_img.addClass(image);\n",
" icon_img.addClass('ui-corner-all');\n",
"\n",
" var tooltip_span = $('<span/>');\n",
" tooltip_span.addClass('ui-button-text');\n",
" tooltip_span.html(tooltip);\n",
"\n",
" button.append(icon_img);\n",
" button.append(tooltip_span);\n",
"\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" var fmt_picker_span = $('<span/>');\n",
"\n",
" var fmt_picker = $('<select/>');\n",
" fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
" fmt_picker_span.append(fmt_picker);\n",
" nav_element.append(fmt_picker_span);\n",
" this.format_dropdown = fmt_picker[0];\n",
"\n",
" for (var ind in mpl.extensions) {\n",
" var fmt = mpl.extensions[ind];\n",
" var option = $(\n",
" '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
" fmt_picker.append(option)\n",
" }\n",
"\n",
" // Add hover states to the ui-buttons\n",
" $( \".ui-button\" ).hover(\n",
" function() { $(this).addClass(\"ui-state-hover\");},\n",
" function() { $(this).removeClass(\"ui-state-hover\");}\n",
" );\n",
"\n",
" var status_bar = $('<span class=\"mpl-message\"/>');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"}\n",
"\n",
"mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
" // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
" // which will in turn request a refresh of the image.\n",
" this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
"}\n",
"\n",
"mpl.figure.prototype.send_message = function(type, properties) {\n",
" properties['type'] = type;\n",
" properties['figure_id'] = this.id;\n",
" this.ws.send(JSON.stringify(properties));\n",
"}\n",
"\n",
"mpl.figure.prototype.send_draw_message = function() {\n",
" if (!this.waiting) {\n",
" this.waiting = true;\n",
" this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
" }\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" var format_dropdown = fig.format_dropdown;\n",
" var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
" fig.ondownload(fig, format);\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
" var size = msg['size'];\n",
" if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
" fig._resize_canvas(size[0], size[1]);\n",
" fig.send_message(\"refresh\", {});\n",
" };\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
" var x0 = msg['x0'] / mpl.ratio;\n",
" var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
" var x1 = msg['x1'] / mpl.ratio;\n",
" var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
" x0 = Math.floor(x0) + 0.5;\n",
" y0 = Math.floor(y0) + 0.5;\n",
" x1 = Math.floor(x1) + 0.5;\n",
" y1 = Math.floor(y1) + 0.5;\n",
" var min_x = Math.min(x0, x1);\n",
" var min_y = Math.min(y0, y1);\n",
" var width = Math.abs(x1 - x0);\n",
" var height = Math.abs(y1 - y0);\n",
"\n",
" fig.rubberband_context.clearRect(\n",
" 0, 0, fig.canvas.width, fig.canvas.height);\n",
"\n",
" fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
" // Updates the figure title.\n",
" fig.header.textContent = msg['label'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
" var cursor = msg['cursor'];\n",
" switch(cursor)\n",
" {\n",
" case 0:\n",
" cursor = 'pointer';\n",
" break;\n",
" case 1:\n",
" cursor = 'default';\n",
" break;\n",
" case 2:\n",
" cursor = 'crosshair';\n",
" break;\n",
" case 3:\n",
" cursor = 'move';\n",
" break;\n",
" }\n",
" fig.rubberband_canvas.style.cursor = cursor;\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_message = function(fig, msg) {\n",
" fig.message.textContent = msg['message'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
" // Request the server to send over a new figure.\n",
" fig.send_draw_message();\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
" fig.image_mode = msg['mode'];\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Called whenever the canvas gets updated.\n",
" this.send_message(\"ack\", {});\n",
"}\n",
"\n",
"// A function to construct a web socket function for onmessage handling.\n",
"// Called in the figure constructor.\n",
"mpl.figure.prototype._make_on_message_function = function(fig) {\n",
" return function socket_on_message(evt) {\n",
" if (evt.data instanceof Blob) {\n",
" /* FIXME: We get \"Resource interpreted as Image but\n",
" * transferred with MIME type text/plain:\" errors on\n",
" * Chrome. But how to set the MIME type? It doesn't seem\n",
" * to be part of the websocket stream */\n",
" evt.data.type = \"image/png\";\n",
"\n",
" /* Free the memory for the previous frames */\n",
" if (fig.imageObj.src) {\n",
" (window.URL || window.webkitURL).revokeObjectURL(\n",
" fig.imageObj.src);\n",
" }\n",
"\n",
" fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
" evt.data);\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
" else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
" fig.imageObj.src = evt.data;\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
"\n",
" var msg = JSON.parse(evt.data);\n",
" var msg_type = msg['type'];\n",
"\n",
" // Call the \"handle_{type}\" callback, which takes\n",
" // the figure and JSON message as its only arguments.\n",
" try {\n",
" var callback = fig[\"handle_\" + msg_type];\n",
" } catch (e) {\n",
" console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
" return;\n",
" }\n",
"\n",
" if (callback) {\n",
" try {\n",
" // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
" callback(fig, msg);\n",
" } catch (e) {\n",
" console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
" }\n",
" }\n",
" };\n",
"}\n",
"\n",
"// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
"mpl.findpos = function(e) {\n",
" //this section is from http://www.quirksmode.org/js/events_properties.html\n",
" var targ;\n",
" if (!e)\n",
" e = window.event;\n",
" if (e.target)\n",
" targ = e.target;\n",
" else if (e.srcElement)\n",
" targ = e.srcElement;\n",
" if (targ.nodeType == 3) // defeat Safari bug\n",
" targ = targ.parentNode;\n",
"\n",
" // jQuery normalizes the pageX and pageY\n",
" // pageX,Y are the mouse positions relative to the document\n",
" // offset() returns the position of the element relative to the document\n",
" var x = e.pageX - $(targ).offset().left;\n",
" var y = e.pageY - $(targ).offset().top;\n",
"\n",
" return {\"x\": x, \"y\": y};\n",
"};\n",
"\n",
"/*\n",
" * return a copy of an object with only non-object keys\n",
" * we need this to avoid circular references\n",
" * http://stackoverflow.com/a/24161582/3208463\n",
" */\n",
"function simpleKeys (original) {\n",
" return Object.keys(original).reduce(function (obj, key) {\n",
" if (typeof original[key] !== 'object')\n",
" obj[key] = original[key]\n",
" return obj;\n",
" }, {});\n",
"}\n",
"\n",
"mpl.figure.prototype.mouse_event = function(event, name) {\n",
" var canvas_pos = mpl.findpos(event)\n",
"\n",
" if (name === 'button_press')\n",
" {\n",
" this.canvas.focus();\n",
" this.canvas_div.focus();\n",
" }\n",
"\n",
" var x = canvas_pos.x * mpl.ratio;\n",
" var y = canvas_pos.y * mpl.ratio;\n",
"\n",
" this.send_message(name, {x: x, y: y, button: event.button,\n",
" step: event.step,\n",
" guiEvent: simpleKeys(event)});\n",
"\n",
" /* This prevents the web browser from automatically changing to\n",
" * the text insertion cursor when the button is pressed. We want\n",
" * to control all of the cursor setting manually through the\n",
" * 'cursor' event from matplotlib */\n",
" event.preventDefault();\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" // Handle any extra behaviour associated with a key event\n",
"}\n",
"\n",
"mpl.figure.prototype.key_event = function(event, name) {\n",
"\n",
" // Prevent repeat events\n",
" if (name == 'key_press')\n",
" {\n",
" if (event.which === this._key)\n",
" return;\n",
" else\n",
" this._key = event.which;\n",
" }\n",
" if (name == 'key_release')\n",
" this._key = null;\n",
"\n",
" var value = '';\n",
" if (event.ctrlKey && event.which != 17)\n",
" value += \"ctrl+\";\n",
" if (event.altKey && event.which != 18)\n",
" value += \"alt+\";\n",
" if (event.shiftKey && event.which != 16)\n",
" value += \"shift+\";\n",
"\n",
" value += 'k';\n",
" value += event.which.toString();\n",
"\n",
" this._key_event_extra(event, name);\n",
"\n",
" this.send_message(name, {key: value,\n",
" guiEvent: simpleKeys(event)});\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
" if (name == 'download') {\n",
" this.handle_save(this, null);\n",
" } else {\n",
" this.send_message(\"toolbar_button\", {name: name});\n",
" }\n",
"};\n",
"\n",
"mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
" this.message.textContent = tooltip;\n",
"};\n",
"mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
"\n",
"mpl.extensions = [\"eps\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\n",
"\n",
"mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
" // Create a \"websocket\"-like object which calls the given IPython comm\n",
" // object with the appropriate methods. Currently this is a non binary\n",
" // socket, so there is still some room for performance tuning.\n",
" var ws = {};\n",
"\n",
" ws.close = function() {\n",
" comm.close()\n",
" };\n",
" ws.send = function(m) {\n",
" //console.log('sending', m);\n",
" comm.send(m);\n",
" };\n",
" // Register the callback with on_msg.\n",
" comm.on_msg(function(msg) {\n",
" //console.log('receiving', msg['content']['data'], msg);\n",
" // Pass the mpl event to the overriden (by mpl) onmessage function.\n",
" ws.onmessage(msg['content']['data'])\n",
" });\n",
" return ws;\n",
"}\n",
"\n",
"mpl.mpl_figure_comm = function(comm, msg) {\n",
" // This is the function which gets called when the mpl process\n",
" // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
"\n",
" var id = msg.content.data.id;\n",
" // Get hold of the div created by the display call when the Comm\n",
" // socket was opened in Python.\n",
" var element = $(\"#\" + id);\n",
" var ws_proxy = comm_websocket_adapter(comm)\n",
"\n",
" function ondownload(figure, format) {\n",
" window.open(figure.imageObj.src);\n",
" }\n",
"\n",
" var fig = new mpl.figure(id, ws_proxy,\n",
" ondownload,\n",
" element.get(0));\n",
"\n",
" // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
" // web socket which is closed, not our websocket->open comm proxy.\n",
" ws_proxy.onopen();\n",
"\n",
" fig.parent_element = element.get(0);\n",
" fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
" if (!fig.cell_info) {\n",
" console.error(\"Failed to find cell for figure\", id, fig);\n",
" return;\n",
" }\n",
"\n",
" var output_index = fig.cell_info[2]\n",
" var cell = fig.cell_info[0];\n",
"\n",
"};\n",
"\n",
"mpl.figure.prototype.handle_close = function(fig, msg) {\n",
" var width = fig.canvas.width/mpl.ratio\n",
" fig.root.unbind('remove')\n",
"\n",
" // Update the output cell to use the data from the current canvas.\n",
" fig.push_to_output();\n",
" var dataURL = fig.canvas.toDataURL();\n",
" // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
" // the notebook keyboard shortcuts fail.\n",
" IPython.keyboard_manager.enable()\n",
" $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
" fig.close_ws(fig, msg);\n",
"}\n",
"\n",
"mpl.figure.prototype.close_ws = function(fig, msg){\n",
" fig.send_message('closing', msg);\n",
" // fig.ws.close()\n",
"}\n",
"\n",
"mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
" // Turn the data on the canvas into data in the output cell.\n",
" var width = this.canvas.width/mpl.ratio\n",
" var dataURL = this.canvas.toDataURL();\n",
" this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Tell IPython that the notebook contents must change.\n",
" IPython.notebook.set_dirty(true);\n",
" this.send_message(\"ack\", {});\n",
" var fig = this;\n",
" // Wait a second, then push the new image to the DOM so\n",
" // that it is saved nicely (might be nice to debounce this).\n",
" setTimeout(function () { fig.push_to_output() }, 1000);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('<div/>')\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items){\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) { continue; };\n",
"\n",
" var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" // Add the status bar.\n",
" var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"\n",
" // Add the close button to the window.\n",
" var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
" var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
" button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
" button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
" buttongrp.append(button);\n",
" var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
" titlebar.prepend(buttongrp);\n",
"}\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(el){\n",
" var fig = this\n",
" el.on(\"remove\", function(){\n",
"\tfig.close_ws(fig, {});\n",
" });\n",
"}\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(el){\n",
" // this is important to make the div 'focusable\n",
" el.attr('tabindex', 0)\n",
" // reach out to IPython and tell the keyboard manager to turn it's self\n",
" // off when our div gets focus\n",
"\n",
" // location in version 3\n",
" if (IPython.notebook.keyboard_manager) {\n",
" IPython.notebook.keyboard_manager.register_events(el);\n",
" }\n",
" else {\n",
" // location in version 2\n",
" IPython.keyboard_manager.register_events(el);\n",
" }\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" var manager = IPython.notebook.keyboard_manager;\n",
" if (!manager)\n",
" manager = IPython.keyboard_manager;\n",
"\n",
" // Check for shift+enter\n",
" if (event.shiftKey && event.which == 13) {\n",
" this.canvas_div.blur();\n",
" event.shiftKey = false;\n",
" // Send a \"J\" for go to next cell\n",
" event.which = 74;\n",
" event.keyCode = 74;\n",
" manager.command_mode();\n",
" manager.handle_keydown(event);\n",
" }\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" fig.ondownload(fig, null);\n",
"}\n",
"\n",
"\n",
"mpl.find_output_cell = function(html_output) {\n",
" // Return the cell and output element which can be found *uniquely* in the notebook.\n",
" // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
" // IPython event is triggered only after the cells have been serialised, which for\n",
" // our purposes (turning an active figure into a static one), is too late.\n",
" var cells = IPython.notebook.get_cells();\n",
" var ncells = cells.length;\n",
" for (var i=0; i<ncells; i++) {\n",
" var cell = cells[i];\n",
" if (cell.cell_type === 'code'){\n",
" for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
" var data = cell.output_area.outputs[j];\n",
" if (data.data) {\n",
" // IPython >= 3 moved mimebundle to data attribute of output\n",
" data = data.data;\n",
" }\n",
" if (data['text/html'] == html_output) {\n",
" return [cell, data, j];\n",
" }\n",
" }\n",
" }\n",
" }\n",
"}\n",
"\n",
"// Register the function which deals with the matplotlib target/channel.\n",
"// The kernel may be null if the page has been refreshed.\n",
"if (IPython.notebook.kernel != null) {\n",
" IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
"}\n"
],
"text/plain": [
"<IPython.core.display.Javascript object>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"<img 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],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"/home/walch/.local/lib/python3.6/site-packages/dask/array/numpy_compat.py:28: RuntimeWarning: invalid value encountered in true_divide\n",
" x = np.divide(x1, x2, out)\n",
"/home/walch/.local/lib/python3.6/site-packages/dask/array/numpy_compat.py:28: RuntimeWarning: invalid value encountered in true_divide\n",
" x = np.divide(x1, x2, out)\n",
"/home/walch/.local/lib/python3.6/site-packages/dask/array/numpy_compat.py:28: RuntimeWarning: invalid value encountered in true_divide\n",
" x = np.divide(x1, x2, out)\n",
"/home/walch/.local/lib/python3.6/site-packages/dask/array/numpy_compat.py:28: RuntimeWarning: invalid value encountered in true_divide\n",
" x = np.divide(x1, x2, out)\n",
"/home/walch/.local/lib/python3.6/site-packages/dask/array/numpy_compat.py:28: RuntimeWarning: invalid value encountered in true_divide\n",
" x = np.divide(x1, x2, out)\n",
"/home/walch/.local/lib/python3.6/site-packages/dask/array/numpy_compat.py:28: RuntimeWarning: invalid value encountered in true_divide\n",
" x = np.divide(x1, x2, out)\n",
"/home/walch/.local/lib/python3.6/site-packages/dask/array/numpy_compat.py:28: RuntimeWarning: invalid value encountered in true_divide\n",
" x = np.divide(x1, x2, out)\n",
"/home/walch/.local/lib/python3.6/site-packages/dask/array/numpy_compat.py:28: RuntimeWarning: invalid value encountered in true_divide\n",
" x = np.divide(x1, x2, out)\n",
"/home/walch/.local/lib/python3.6/site-packages/dask/array/numpy_compat.py:28: RuntimeWarning: invalid value encountered in true_divide\n",
" x = np.divide(x1, x2, out)\n",
"/home/walch/.local/lib/python3.6/site-packages/dask/array/numpy_compat.py:28: RuntimeWarning: invalid value encountered in true_divide\n",
" x = np.divide(x1, x2, out)\n",
"/home/walch/.local/lib/python3.6/site-packages/dask/array/numpy_compat.py:28: RuntimeWarning: invalid value encountered in true_divide\n",
" x = np.divide(x1, x2, out)\n",
"/home/walch/.local/lib/python3.6/site-packages/dask/array/numpy_compat.py:28: RuntimeWarning: invalid value encountered in true_divide\n",
" x = np.divide(x1, x2, out)\n"
]
}
],
"source": [
"plt.figure(figsize = (20, 12))\n",
"RND = 22.5\n",
"for i, year in enumerate(range(2004, 2016)):\n",
"\n",
" fp = '/work/hyenergy/raw/MeteoSwiss_satellite/raw_data/global/msg.SIS.H_ch02.lonlat_%d*.nc' %year\n",
" SIS_df = load_data(fp)\n",
"\n",
" SIS_df = change_timestamp(SIS_df)\n",
" solpos = get_solpos(SIS_df)\n",
" SIS_df = round_solpos(SIS_df, solpos, rnd_azimuth = RND)\n",
" \n",
" # group only by azimuth angle, obtain average kWh/m2 in each azimuth direction \n",
" good_solpos = SIS_df[SIS_df.apparent_zenith <= 90]\n",
" SIS_gr = good_solpos.groupby('azimuth').sum()/1000\n",
" \n",
" # prepare data\n",
" data = SIS_gr.SIS.values\n",
" # theta = np.append(plot_array.aspect_round * np.pi / 180, 2*np.pi) + (0.5 * ASP_ROUND * np.pi / 180)\n",
" theta = SIS_gr.index.values * np.pi / 180\n",
"\n",
" # SET PROPERTIES\n",
" ax = plt.subplot(3, 4, i+1, projection='polar')\n",
" ax.set_theta_zero_location('N')\n",
" ax.set_theta_direction(-1)\n",
" # ax.set_ylim((0, 90))\n",
" ax.set_title('Annual total GHI ($kWh/m2$) in %d' %year)\n",
"\n",
" plt.bar(theta, data, width=RND * np.pi/180)\n",
"\n",
" # FORMATTING\n",
" xticks = ['N', 'NE', 'E', 'SE', 'S', 'SW', 'W', 'NW']\n",
" ax.set_xticklabels( xticks )\n",
" # ax.text(10,120, 'Sun zenith')\n",
" # ax.set_rlabel_position(20) # get radial labels away from plotted line\n",
" #yticks = [str(int(tilt)) + '°' for tilt in ax.get_yticks()]\n",
" #ax.set_yticklabels( yticks )\n",
"\n",
"plt.tight_layout()\n",
"plt.show()\n",
"plt.savefig('GHI_hist_225.png', dpi = 300) "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Play with solar time"
]
},
{
"cell_type": "code",
"execution_count": 108,
"metadata": {},
"outputs": [],
"source": [
"ts = pd.date_range(start='2010-06-15 04:00', end='2010-06-15 19:00', freq='60s')"
]
},
{
"cell_type": "code",
"execution_count": 111,
"metadata": {},
"outputs": [],
"source": [
"solpos = get_solarposition(ts, LAT, LON)"
]
},
{
"cell_type": "code",
"execution_count": 119,
"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>apparent_zenith</th>\n",
" <th>zenith</th>\n",
" <th>apparent_elevation</th>\n",
" <th>elevation</th>\n",
" <th>azimuth</th>\n",
" <th>equation_of_time</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>2010-06-15 11:28:00</th>\n",
" <td>23.497708</td>\n",
" <td>23.505023</td>\n",
" <td>66.502292</td>\n",
" <td>66.494977</td>\n",
" <td>180.258255</td>\n",
" <td>-0.457997</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" apparent_zenith zenith apparent_elevation \\\n",
"2010-06-15 11:28:00 23.497708 23.505023 66.502292 \n",
"\n",
" elevation azimuth equation_of_time \n",
"2010-06-15 11:28:00 66.494977 180.258255 -0.457997 "
]
},
"execution_count": 119,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"closest_timestamp = solpos[abs(solpos.azimuth - 180) < 0.30]\n",
"closest_timestamp"
]
},
{
"cell_type": "code",
"execution_count": 124,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"DatetimeIndex(['2010-06-15 12:00:54.602880'], dtype='datetime64[ns]', freq=None)"
]
},
"execution_count": 124,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"solar_time = closest_timestamp.index + pd.Timedelta(LON/15, unit = 'h')\n",
"solar_time"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": 192,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<xarray.Dataset>\n",
"Dimensions: (lat: 103, lon: 241, time: 24)\n",
"Coordinates:\n",
" * lon (lon) float32 5.75 5.77083 5.79167 ... 10.7292 10.75\n",
" * lat (lat) float32 45.75 45.7708 ... 47.8542 47.875\n",
" * time (time) datetime64[ns] 2015-05-15 ... 2015-05-15T23:00:00\n",
"Data variables:\n",
" geographic_projection |S1 ...\n",
" SIS (time, lat, lon) float32 ...\n",
"Attributes:\n",
" Title: The HelioMont Surface Solar Radiation Process...\n",
" Summary: Composited surface states, cloud properties a...\n",
" Institution: Federal Office of Meteorology and Climatology...\n",
" References: Reto Stockli (2013). The HelioMont Surface So...\n",
" Conventions: CF-1.5\n",
" Metadata_Conventions: Unidata Dataset Discovery v1.0\n",
" Digital_Object_Identifier: not assigned\n",
" Creator_Name: Reto Stockli\n",
" Creator_Email: reto.stoeckli@meteoswiss.ch\n",
" Creator_Url: http://www.meteoswiss.ch"
]
},
"execution_count": 192,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"xr.open_dataset('/work/hyenergy/raw/MeteoSwiss_satellite/raw_data/global/msg.SIS.H_ch02.lonlat_20150515000000.nc')"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.1"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
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