p253591
/
stimmenfryslan
1
0
Fork 0
Code Issues Pull Requests Releases Wiki Activity
stimmenfryslan/notebooks/Frysian pronunciation distr...

1294 lines
9.3 MiB
Plaintext
Raw Permalink Normal View History

readme
2019-03-19 13:33:38 +01:00
{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Frysian pronunciation distribution maps\n",
"\n",
"Each map displays the pronounciation distribution of one word in Frysian municipalities or neighborhoods. These municipality or neighborhood regions are defined by the CBS data and processed in\n",
"\n",
" * Segment Provinces in Wijken and Gemeentes.ipynb \n",
" * Show Province Segmentations.ipynb\n",
"\n",
"Each region is filled with one bar per pronunciation. The area of a bar is proportional to the represented pronunciation."
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"········\n"
]
}
],
"source": [
"# Enable portforwording from 3307 locally to 3306 on the stimmen database machine\n",
"# ssh -L 3307:127.0.0.1:3306 stimmen.housing.rug.nl\n",
"\n",
"import pandas\n",
"import MySQLdb\n",
"\n",
"from getpass import getpass\n",
"\n",
"if 'mysql_password' not in globals():\n",
" mysql_password = getpass()\n",
"\n",
"db = MySQLdb.connect(host='127.0.0.1', port=3307, user='stimmen', passwd=mysql_password, db='stimmen', charset='utf8')"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [],
"source": [
"import sys\n",
"sys.path.append('../')\n",
"\n",
"import glob\n",
"import numpy\n",
"import json\n",
"\n",
"import folium\n",
"\n",
"from stimmen.geojson import inject_geojson_regions_into_dataframe\n",
"from stimmen.folium import pronunciation_bars, save_map, bar_map_css, FoliumCSS\n",
"from stimmen.latitude_longitude import reverse_latitude_longitude\n",
"from IPython.display import display, Image\n",
"from ipy_table import make_table\n",
"\n",
"from shapely.geometry import shape, box\n",
"from shapely.ops import cascaded_union\n",
"\n",
"from pygeoif.geometry import mapping\n",
"from folium import Polygon\n",
"\n",
"%matplotlib notebook\n",
"from matplotlib import pyplot\n",
"from skimage.io import imread\n",
"\n",
"from jupyter_progressbar import ProgressBar"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Load regions\n",
"\n",
"Loads regions from the publically available CBS paritionings of the Netherlands."
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"def get_regions_and_styling(level):\n",
" \"\"\"Load a specific granularity of regions, in particular municipalities\n",
" (gemeentes) or neighborhoods (wijken) and get a function to style maps\n",
" suitable for saving to png\"\"\"\n",
" assert level in {'gemeentes', 'wijken'}\n",
" with open('../data/Friesland_{level}.geojson'.format(level=level)) as f:\n",
" regions = json.load(f)\n",
"\n",
" union_of_all_municipalities = cascaded_union([\n",
" shape(feature['geometry'])\n",
" for feature in regions['features']\n",
" ])\n",
"\n",
" # allows for creating a semi-transpartent background of regions outside of Fryslan, to avoid crowded maps\n",
" background = box(2, 40, 10, 60).difference(union_of_all_municipalities)\n",
"\n",
" def add_image_styling_to_map(map_):\n",
" \"\"\" Add styling for png-images to the map:\n",
" - white background around Fryslan\n",
" - black legend with colored square markers\n",
" - bigger fonts\n",
" - legend on top, complete width of the image, spread across several columns\"\"\"\n",
" \n",
" # semi-transparent white background\n",
" Polygon(\n",
" reverse_latitude_longitude(mapping(background)['coordinates']),\n",
" fill_color='#fff', color='#000000', fill_opacity=0.8\n",
" ).add_to(map_)\n",
" \n",
" # bigger font in the legend\n",
" bar_map_css(legend_fontsize='45pt', attribution_fontsize='25pt').add_to(m)\n",
" \n",
" # black legend text, but with a colored square marker\n",
" # legend of several columns spanning accross the entire image width.\n",
" FoliumCSS(\"\"\"\n",
" .leaflet-control-container .leaflet-control-layers-overlays label span.blackable.blackable.blackable {\n",
" color: black;\n",
" }\n",
" .leaflet-top .leaflet-control.leaflet-control.leaflet-control {\n",
" margin: 0;\n",
" border: 0;\n",
" border-radius: 0;\n",
" }\n",
" .leaflet-control-layers { width: 100%; }\n",
" .leaflet-control-container .leaflet-control-layers-overlays {\n",
" flex-wrap: wrap;}\n",
" .leaflet-control-container .leaflet-control-layers-overlays label {\n",
" width: 470px; display: inline-block; font-family: Garamond;\n",
" }\n",
" \"\"\").add_to(map_)\n",
" return regions, add_image_styling_to_map"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Get prediction quiz responses"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
"# Answers to how participants state a word should be pronounces.\n",
"\n",
"answers = pandas.read_sql('''\n",
"SELECT prediction_quiz_id, user_lat, user_lng, question_text, answer_text\n",
"FROM core_surveyresult as survey\n",
"INNER JOIN core_predictionquizresult as result ON survey.id = result.survey_result_id\n",
"INNER JOIN core_predictionquizresultquestionanswer as answer\n",
" ON result.id = answer.prediction_quiz_id\n",
"WHERE\n",
" survey.submitted_at >= '2017-09-17'\n",
" AND result.submitted_at >= '2017-09-17'\n",
"''', db)\n",
"\n",
"answers['question_text'] = answers['question_text'].map(lambda x: x.replace('\"', '').replace('*', ''))\n",
"\n",
"answers['answer_text'] = answers['answer_text'].map(lambda x: x[x.find('('):x.find(')')][1:])"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Create pronunciation distribution maps"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {
"scrolled": true
},
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "a3b85dd823f546c98a02ce815e250991",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"VBox(children=(HBox(children=(FloatProgress(value=0.0, max=1.0), HTML(value='<b>0</b>s passed', placeholder='0…"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "a61b6e04038745ce89bd091f0f5e52c0",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"VBox(children=(HBox(children=(FloatProgress(value=0.0, max=1.0), HTML(value='<b>0</b>s passed', placeholder='0…"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "3123fc82e6494d419da06b0b32290105",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"VBox(children=(HBox(children=(FloatProgress(value=0.0, max=1.0), HTML(value='<b>0</b>s passed', placeholder='0…"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "f498dc7a624c46efada8d83096d60e2f",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"VBox(children=(HBox(children=(FloatProgress(value=0.0, max=1.0), HTML(value='<b>0</b>s passed', placeholder='0…"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"maps = {'wijken': {}, 'gemeentes': {}}\n",
"\n",
"for region_granularity in maps.keys():\n",
" regions, add_image_styling_to_map = get_regions_and_styling(\n",
" region_granularity)\n",
" \n",
" region_name_property = {\n",
" 'gemeentes':'gemeente_naam',\n",
" 'wijken':'gemeente_en_wijk_naam'\n",
" }[region_granularity]\n",
" \n",
" answers = inject_geojson_regions_into_dataframe(\n",
" regions, answers,\n",
" latitude_column='user_lat', longitude_column='user_lng',\n",
" region_name_property=region_name_property,\n",
" region_name_column='region'\n",
" )\n",
" \n",
" for word_index, (word, word_rows) in enumerate(ProgressBar(answers.groupby('question_text'))):\n",
" m = folium.Map(\n",
" (53.15936723072875 + 0.06, 5.618661585181898 + 0.15),\n",
" zoom_control = False,\n",
" tiles='stamentoner', zoom_start=10,\n",
" )\n",
"\n",
" # pronunciation colors bars in the map\n",
" for pronunciation, feature_group in pronunciation_bars(\n",
" regions, word_rows,\n",
" region_name_property=region_name_property,\n",
" region_name_column='region',\n",
" group_column='answer_text',\n",
" cutoff_percentage=0.1,\n",
" normalize_area=True,\n",
" progress_bar=word_index == 0,\n",
" area_adjust_resolution=100\n",
" ).items():\n",
" feature_group.add_to(m)\n",
" \n",
" # black border around each region\n",
" for feature in regions['features']:\n",
" folium.Polygon(\n",
" reverse_latitude_longitude(feature['geometry']['coordinates']),\n",
" fill_color=None, color='#000000'\n",
" ).add_to(m)\n",
" \n",
" # pronunciation legend\n",
" folium.map.LayerControl('topright', collapsed=False).add_to(m)\n",
"\n",
" m.save('../maps/bar-maps/{}_{}.html'.format(region_granularity, word))\n",
" \n",
" add_image_styling_to_map(m)\n",
" m.zoom_start = 11\n",
" \n",
" filename = '../images/bar-maps/{}_{}.png'.format(region_granularity, word)\n",
" save_map(\n",
" m, filename,\n",
" resolution=(2050, 2000), headless=True\n",
" )\n",
" maps[region_granularity][word] = filename"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Example answers\n",
"\n",
"To create the maps, to aforementioned code assigned regions to the pronounciation based on the longitude and latitude as provided in the survey and in which polygon of the geojson that falls. `inject_geojson_regions_into_dataframe` is used for this. Notice the `region` columns in the next table. Also notice that the region changes for both iterations of the outermost for-loop, as this represents different granularities of the regions\n",
"\n",
"`pronunciation_bars` can use the dataframe and geojson to create the colored regions as shown on the maps below."
]
},
{
"cell_type": "code",
"execution_count": 8,
"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>prediction_quiz_id</th>\n",
" <th>user_lat</th>\n",
" <th>user_lng</th>\n",
" <th>question_text</th>\n",
" <th>answer_text</th>\n",
" <th>region</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>362</td>\n",
" <td>53.237237</td>\n",
" <td>5.512835</td>\n",
" <td>borst (lichaamsdeel)</td>\n",
" <td>bwɑst</td>\n",
" <td>Waadhoeke</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>362</td>\n",
" <td>53.237237</td>\n",
" <td>5.512835</td>\n",
" <td>gegaan</td>\n",
" <td>gonən</td>\n",
" <td>Waadhoeke</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>362</td>\n",
" <td>53.237237</td>\n",
" <td>5.512835</td>\n",
" <td>gezet</td>\n",
" <td>sɛt</td>\n",
" <td>Waadhoeke</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>362</td>\n",
" <td>53.237237</td>\n",
" <td>5.512835</td>\n",
" <td>geel</td>\n",
" <td>ɡeɪl</td>\n",
" <td>Waadhoeke</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>362</td>\n",
" <td>53.237237</td>\n",
" <td>5.512835</td>\n",
" <td>bij (insect)</td>\n",
" <td>bɛi</td>\n",
" <td>Waadhoeke</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" prediction_quiz_id user_lat user_lng question_text answer_text \\\n",
"0 362 53.237237 5.512835 borst (lichaamsdeel) bwɑst \n",
"1 362 53.237237 5.512835 gegaan gonən \n",
"2 362 53.237237 5.512835 gezet sɛt \n",
"3 362 53.237237 5.512835 geel ɡeɪl \n",
"4 362 53.237237 5.512835 bij (insect) bɛi \n",
"\n",
" region \n",
"0 Waadhoeke \n",
"1 Waadhoeke \n",
"2 Waadhoeke \n",
"3 Waadhoeke \n",
"4 Waadhoeke "
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"answers.head()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Result\n",
"\n",
"Illustrations of the resulting distribution maps for eacht word andboth region granularities. Eacht region is colored proportionally to the relative pronunciation occurance. This way the one color indicates the use of a specific pronunciation across Fryslan."
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {
"scrolled": false
},
"outputs": [
{
"data": {
"application/javascript": [
"/* Put everything inside the global mpl namespace */\n",
"window.mpl = {};\n",
"\n",
"\n",
"mpl.get_websocket_type = function() {\n",
" if (typeof(WebSocket) !== 'undefined') {\n",
" return WebSocket;\n",
" } else if (typeof(MozWebSocket) !== 'undefined') {\n",
" return MozWebSocket;\n",
" } else {\n",
" alert('Your browser does not have WebSocket support.' +\n",
" 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
" 'Firefox 4 and 5 are also supported but you ' +\n",
" 'have to enable WebSockets in about:config.');\n",
" };\n",
"}\n",
"\n",
"mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
" this.id = figure_id;\n",
"\n",
" this.ws = websocket;\n",
"\n",
" this.supports_binary = (this.ws.binaryType != undefined);\n",
"\n",
" if (!this.supports_binary) {\n",
" var warnings = document.getElementById(\"mpl-warnings\");\n",
" if (warnings) {\n",
" warnings.style.display = 'block';\n",
" warnings.textContent = (\n",
" \"This browser does not support binary websocket messages. \" +\n",
" \"Performance may be slow.\");\n",
" }\n",
" }\n",
"\n",
" this.imageObj = new Image();\n",
"\n",
" this.context = undefined;\n",
" this.message = undefined;\n",
" this.canvas = undefined;\n",
" this.rubberband_canvas = undefined;\n",
" this.rubberband_context = undefined;\n",
" this.format_dropdown = undefined;\n",
"\n",
" this.image_mode = 'full';\n",
"\n",
" this.root = $('<div/>');\n",
" this._root_extra_style(this.root)\n",
" this.root.attr('style', 'display: inline-block');\n",
"\n",
" $(parent_element).append(this.root);\n",
"\n",
" this._init_header(this);\n",
" this._init_canvas(this);\n",
" this._init_toolbar(this);\n",
"\n",
" var fig = this;\n",
"\n",
" this.waiting = false;\n",
"\n",
" this.ws.onopen = function () {\n",
" fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
" fig.send_message(\"send_image_mode\", {});\n",
" if (mpl.ratio != 1) {\n",
" fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
" }\n",
" fig.send_message(\"refresh\", {});\n",
" }\n",
"\n",
" this.imageObj.onload = function() {\n",
" if (fig.image_mode == 'full') {\n",
" // Full images could contain transparency (where diff images\n",
" // almost always do), so we need to clear the canvas so that\n",
" // there is no ghosting.\n",
" fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
" }\n",
" fig.context.drawImage(fig.imageObj, 0, 0);\n",
" };\n",
"\n",
" this.imageObj.onunload = function() {\n",
" fig.ws.close();\n",
" }\n",
"\n",
" this.ws.onmessage = this._make_on_message_function(this);\n",
"\n",
" this.ondownload = ondownload;\n",
"}\n",
"\n",
"mpl.figure.prototype._init_header = function() {\n",
" var titlebar = $(\n",
" '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
" 'ui-helper-clearfix\"/>');\n",
" var titletext = $(\n",
" '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
" 'text-align: center; padding: 3px;\"/>');\n",
" titlebar.append(titletext)\n",
" this.root.append(titlebar);\n",
" this.header = titletext[0];\n",
"}\n",
"\n",
"\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
"\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._init_canvas = function() {\n",
" var fig = this;\n",
"\n",
" var canvas_div = $('<div/>');\n",
"\n",
" canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
"\n",
" function canvas_keyboard_event(event) {\n",
" return fig.key_event(event, event['data']);\n",
" }\n",
"\n",
" canvas_div.keydown('key_press', canvas_keyboard_event);\n",
" canvas_div.keyup('key_release', canvas_keyboard_event);\n",
" this.canvas_div = canvas_div\n",
" this._canvas_extra_style(canvas_div)\n",
" this.root.append(canvas_div);\n",
"\n",
" var canvas = $('<canvas/>');\n",
" canvas.addClass('mpl-canvas');\n",
" canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
"\n",
" this.canvas = canvas[0];\n",
" this.context = canvas[0].getContext(\"2d\");\n",
"\n",
" var backingStore = this.context.backingStorePixelRatio ||\n",
"\tthis.context.webkitBackingStorePixelRatio ||\n",
"\tthis.context.mozBackingStorePixelRatio ||\n",
"\tthis.context.msBackingStorePixelRatio ||\n",
"\tthis.context.oBackingStorePixelRatio ||\n",
"\tthis.context.backingStorePixelRatio || 1;\n",
"\n",
" mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
"\n",
" var rubberband = $('<canvas/>');\n",
" rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
"\n",
" var pass_mouse_events = true;\n",
"\n",
" canvas_div.resizable({\n",
" start: function(event, ui) {\n",
" pass_mouse_events = false;\n",
" },\n",
" resize: function(event, ui) {\n",
" fig.request_resize(ui.size.width, ui.size.height);\n",
" },\n",
" stop: function(event, ui) {\n",
" pass_mouse_events = true;\n",
" fig.request_resize(ui.size.width, ui.size.height);\n",
" },\n",
" });\n",
"\n",
" function mouse_event_fn(event) {\n",
" if (pass_mouse_events)\n",
" return fig.mouse_event(event, event['data']);\n",
" }\n",
"\n",
" rubberband.mousedown('button_press', mouse_event_fn);\n",
" rubberband.mouseup('button_release', mouse_event_fn);\n",
" // Throttle sequential mouse events to 1 every 20ms.\n",
" rubberband.mousemove('motion_notify', mouse_event_fn);\n",
"\n",
" rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
" rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
"\n",
" canvas_div.on(\"wheel\", function (event) {\n",
" event = event.originalEvent;\n",
" event['data'] = 'scroll'\n",
" if (event.deltaY < 0) {\n",
" event.step = 1;\n",
" } else {\n",
" event.step = -1;\n",
" }\n",
" mouse_event_fn(event);\n",
" });\n",
"\n",
" canvas_div.append(canvas);\n",
" canvas_div.append(rubberband);\n",
"\n",
" this.rubberband = rubberband;\n",
" this.rubberband_canvas = rubberband[0];\n",
" this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
" this.rubberband_context.strokeStyle = \"#000000\";\n",
"\n",
" this._resize_canvas = function(width, height) {\n",
" // Keep the size of the canvas, canvas container, and rubber band\n",
" // canvas in synch.\n",
" canvas_div.css('width', width)\n",
" canvas_div.css('height', height)\n",
"\n",
" canvas.attr('width', width * mpl.ratio);\n",
" canvas.attr('height', height * mpl.ratio);\n",
" canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
"\n",
" rubberband.attr('width', width);\n",
" rubberband.attr('height', height);\n",
" }\n",
"\n",
" // Set the figure to an initial 600x600px, this will subsequently be updated\n",
" // upon first draw.\n",
" this._resize_canvas(600, 600);\n",
"\n",
" // Disable right mouse context menu.\n",
" $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
" return false;\n",
" });\n",
"\n",
" function set_focus () {\n",
" canvas.focus();\n",
" canvas_div.focus();\n",
" }\n",
"\n",
" window.setTimeout(set_focus, 100);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('<div/>')\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items) {\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) {\n",
" // put a spacer in here.\n",
" continue;\n",
" }\n",
" var button = $('<button/>');\n",
" button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
" 'ui-button-icon-only');\n",
" button.attr('role', 'button');\n",
" button.attr('aria-disabled', 'false');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
"\n",
" var icon_img = $('<span/>');\n",
" icon_img.addClass('ui-button-icon-primary ui-icon');\n",
" icon_img.addClass(image);\n",
" icon_img.addClass('ui-corner-all');\n",
"\n",
" var tooltip_span = $('<span/>');\n",
" tooltip_span.addClass('ui-button-text');\n",
" tooltip_span.html(tooltip);\n",
"\n",
" button.append(icon_img);\n",
" button.append(tooltip_span);\n",
"\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" var fmt_picker_span = $('<span/>');\n",
"\n",
" var fmt_picker = $('<select/>');\n",
" fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
" fmt_picker_span.append(fmt_picker);\n",
" nav_element.append(fmt_picker_span);\n",
" this.format_dropdown = fmt_picker[0];\n",
"\n",
" for (var ind in mpl.extensions) {\n",
" var fmt = mpl.extensions[ind];\n",
" var option = $(\n",
" '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
" fmt_picker.append(option)\n",
" }\n",
"\n",
" // Add hover states to the ui-buttons\n",
" $( \".ui-button\" ).hover(\n",
" function() { $(this).addClass(\"ui-state-hover\");},\n",
" function() { $(this).removeClass(\"ui-state-hover\");}\n",
" );\n",
"\n",
" var status_bar = $('<span class=\"mpl-message\"/>');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"}\n",
"\n",
"mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
" // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
" // which will in turn request a refresh of the image.\n",
" this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
"}\n",
"\n",
"mpl.figure.prototype.send_message = function(type, properties) {\n",
" properties['type'] = type;\n",
" properties['figure_id'] = this.id;\n",
" this.ws.send(JSON.stringify(properties));\n",
"}\n",
"\n",
"mpl.figure.prototype.send_draw_message = function() {\n",
" if (!this.waiting) {\n",
" this.waiting = true;\n",
" this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
" }\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" var format_dropdown = fig.format_dropdown;\n",
" var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
" fig.ondownload(fig, format);\n",
"}\n",
"\n",
"\n",
"mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
" var size = msg['size'];\n",
" if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
" fig._resize_canvas(size[0], size[1]);\n",
" fig.send_message(\"refresh\", {});\n",
" };\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
" var x0 = msg['x0'] / mpl.ratio;\n",
" var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
" var x1 = msg['x1'] / mpl.ratio;\n",
" var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
" x0 = Math.floor(x0) + 0.5;\n",
" y0 = Math.floor(y0) + 0.5;\n",
" x1 = Math.floor(x1) + 0.5;\n",
" y1 = Math.floor(y1) + 0.5;\n",
" var min_x = Math.min(x0, x1);\n",
" var min_y = Math.min(y0, y1);\n",
" var width = Math.abs(x1 - x0);\n",
" var height = Math.abs(y1 - y0);\n",
"\n",
" fig.rubberband_context.clearRect(\n",
" 0, 0, fig.canvas.width, fig.canvas.height);\n",
"\n",
" fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
" // Updates the figure title.\n",
" fig.header.textContent = msg['label'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
" var cursor = msg['cursor'];\n",
" switch(cursor)\n",
" {\n",
" case 0:\n",
" cursor = 'pointer';\n",
" break;\n",
" case 1:\n",
" cursor = 'default';\n",
" break;\n",
" case 2:\n",
" cursor = 'crosshair';\n",
" break;\n",
" case 3:\n",
" cursor = 'move';\n",
" break;\n",
" }\n",
" fig.rubberband_canvas.style.cursor = cursor;\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_message = function(fig, msg) {\n",
" fig.message.textContent = msg['message'];\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
" // Request the server to send over a new figure.\n",
" fig.send_draw_message();\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
" fig.image_mode = msg['mode'];\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Called whenever the canvas gets updated.\n",
" this.send_message(\"ack\", {});\n",
"}\n",
"\n",
"// A function to construct a web socket function for onmessage handling.\n",
"// Called in the figure constructor.\n",
"mpl.figure.prototype._make_on_message_function = function(fig) {\n",
" return function socket_on_message(evt) {\n",
" if (evt.data instanceof Blob) {\n",
" /* FIXME: We get \"Resource interpreted as Image but\n",
" * transferred with MIME type text/plain:\" errors on\n",
" * Chrome. But how to set the MIME type? It doesn't seem\n",
" * to be part of the websocket stream */\n",
" evt.data.type = \"image/png\";\n",
"\n",
" /* Free the memory for the previous frames */\n",
" if (fig.imageObj.src) {\n",
" (window.URL || window.webkitURL).revokeObjectURL(\n",
" fig.imageObj.src);\n",
" }\n",
"\n",
" fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
" evt.data);\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
" else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
" fig.imageObj.src = evt.data;\n",
" fig.updated_canvas_event();\n",
" fig.waiting = false;\n",
" return;\n",
" }\n",
"\n",
" var msg = JSON.parse(evt.data);\n",
" var msg_type = msg['type'];\n",
"\n",
" // Call the \"handle_{type}\" callback, which takes\n",
" // the figure and JSON message as its only arguments.\n",
" try {\n",
" var callback = fig[\"handle_\" + msg_type];\n",
" } catch (e) {\n",
" console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
" return;\n",
" }\n",
"\n",
" if (callback) {\n",
" try {\n",
" // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
" callback(fig, msg);\n",
" } catch (e) {\n",
" console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
" }\n",
" }\n",
" };\n",
"}\n",
"\n",
"// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
"mpl.findpos = function(e) {\n",
" //this section is from http://www.quirksmode.org/js/events_properties.html\n",
" var targ;\n",
" if (!e)\n",
" e = window.event;\n",
" if (e.target)\n",
" targ = e.target;\n",
" else if (e.srcElement)\n",
" targ = e.srcElement;\n",
" if (targ.nodeType == 3) // defeat Safari bug\n",
" targ = targ.parentNode;\n",
"\n",
" // jQuery normalizes the pageX and pageY\n",
" // pageX,Y are the mouse positions relative to the document\n",
" // offset() returns the position of the element relative to the document\n",
" var x = e.pageX - $(targ).offset().left;\n",
" var y = e.pageY - $(targ).offset().top;\n",
"\n",
" return {\"x\": x, \"y\": y};\n",
"};\n",
"\n",
"/*\n",
" * return a copy of an object with only non-object keys\n",
" * we need this to avoid circular references\n",
" * http://stackoverflow.com/a/24161582/3208463\n",
" */\n",
"function simpleKeys (original) {\n",
" return Object.keys(original).reduce(function (obj, key) {\n",
" if (typeof original[key] !== 'object')\n",
" obj[key] = original[key]\n",
" return obj;\n",
" }, {});\n",
"}\n",
"\n",
"mpl.figure.prototype.mouse_event = function(event, name) {\n",
" var canvas_pos = mpl.findpos(event)\n",
"\n",
" if (name === 'button_press')\n",
" {\n",
" this.canvas.focus();\n",
" this.canvas_div.focus();\n",
" }\n",
"\n",
" var x = canvas_pos.x * mpl.ratio;\n",
" var y = canvas_pos.y * mpl.ratio;\n",
"\n",
" this.send_message(name, {x: x, y: y, button: event.button,\n",
" step: event.step,\n",
" guiEvent: simpleKeys(event)});\n",
"\n",
" /* This prevents the web browser from automatically changing to\n",
" * the text insertion cursor when the button is pressed. We want\n",
" * to control all of the cursor setting manually through the\n",
" * 'cursor' event from matplotlib */\n",
" event.preventDefault();\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" // Handle any extra behaviour associated with a key event\n",
"}\n",
"\n",
"mpl.figure.prototype.key_event = function(event, name) {\n",
"\n",
" // Prevent repeat events\n",
" if (name == 'key_press')\n",
" {\n",
" if (event.which === this._key)\n",
" return;\n",
" else\n",
" this._key = event.which;\n",
" }\n",
" if (name == 'key_release')\n",
" this._key = null;\n",
"\n",
" var value = '';\n",
" if (event.ctrlKey && event.which != 17)\n",
" value += \"ctrl+\";\n",
" if (event.altKey && event.which != 18)\n",
" value += \"alt+\";\n",
" if (event.shiftKey && event.which != 16)\n",
" value += \"shift+\";\n",
"\n",
" value += 'k';\n",
" value += event.which.toString();\n",
"\n",
" this._key_event_extra(event, name);\n",
"\n",
" this.send_message(name, {key: value,\n",
" guiEvent: simpleKeys(event)});\n",
" return false;\n",
"}\n",
"\n",
"mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
" if (name == 'download') {\n",
" this.handle_save(this, null);\n",
" } else {\n",
" this.send_message(\"toolbar_button\", {name: name});\n",
" }\n",
"};\n",
"\n",
"mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
" this.message.textContent = tooltip;\n",
"};\n",
"mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
"\n",
"mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
"\n",
"mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
" // Create a \"websocket\"-like object which calls the given IPython comm\n",
" // object with the appropriate methods. Currently this is a non binary\n",
" // socket, so there is still some room for performance tuning.\n",
" var ws = {};\n",
"\n",
" ws.close = function() {\n",
" comm.close()\n",
" };\n",
" ws.send = function(m) {\n",
" //console.log('sending', m);\n",
" comm.send(m);\n",
" };\n",
" // Register the callback with on_msg.\n",
" comm.on_msg(function(msg) {\n",
" //console.log('receiving', msg['content']['data'], msg);\n",
" // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
" ws.onmessage(msg['content']['data'])\n",
" });\n",
" return ws;\n",
"}\n",
"\n",
"mpl.mpl_figure_comm = function(comm, msg) {\n",
" // This is the function which gets called when the mpl process\n",
" // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
"\n",
" var id = msg.content.data.id;\n",
" // Get hold of the div created by the display call when the Comm\n",
" // socket was opened in Python.\n",
" var element = $(\"#\" + id);\n",
" var ws_proxy = comm_websocket_adapter(comm)\n",
"\n",
" function ondownload(figure, format) {\n",
" window.open(figure.imageObj.src);\n",
" }\n",
"\n",
" var fig = new mpl.figure(id, ws_proxy,\n",
" ondownload,\n",
" element.get(0));\n",
"\n",
" // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
" // web socket which is closed, not our websocket->open comm proxy.\n",
" ws_proxy.onopen();\n",
"\n",
" fig.parent_element = element.get(0);\n",
" fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
" if (!fig.cell_info) {\n",
" console.error(\"Failed to find cell for figure\", id, fig);\n",
" return;\n",
" }\n",
"\n",
" var output_index = fig.cell_info[2]\n",
" var cell = fig.cell_info[0];\n",
"\n",
"};\n",
"\n",
"mpl.figure.prototype.handle_close = function(fig, msg) {\n",
" var width = fig.canvas.width/mpl.ratio\n",
" fig.root.unbind('remove')\n",
"\n",
" // Update the output cell to use the data from the current canvas.\n",
" fig.push_to_output();\n",
" var dataURL = fig.canvas.toDataURL();\n",
" // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
" // the notebook keyboard shortcuts fail.\n",
" IPython.keyboard_manager.enable()\n",
" $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
" fig.close_ws(fig, msg);\n",
"}\n",
"\n",
"mpl.figure.prototype.close_ws = function(fig, msg){\n",
" fig.send_message('closing', msg);\n",
" // fig.ws.close()\n",
"}\n",
"\n",
"mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
" // Turn the data on the canvas into data in the output cell.\n",
" var width = this.canvas.width/mpl.ratio\n",
" var dataURL = this.canvas.toDataURL();\n",
" this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
"}\n",
"\n",
"mpl.figure.prototype.updated_canvas_event = function() {\n",
" // Tell IPython that the notebook contents must change.\n",
" IPython.notebook.set_dirty(true);\n",
" this.send_message(\"ack\", {});\n",
" var fig = this;\n",
" // Wait a second, then push the new image to the DOM so\n",
" // that it is saved nicely (might be nice to debounce this).\n",
" setTimeout(function () { fig.push_to_output() }, 1000);\n",
"}\n",
"\n",
"mpl.figure.prototype._init_toolbar = function() {\n",
" var fig = this;\n",
"\n",
" var nav_element = $('<div/>')\n",
" nav_element.attr('style', 'width: 100%');\n",
" this.root.append(nav_element);\n",
"\n",
" // Define a callback function for later on.\n",
" function toolbar_event(event) {\n",
" return fig.toolbar_button_onclick(event['data']);\n",
" }\n",
" function toolbar_mouse_event(event) {\n",
" return fig.toolbar_button_onmouseover(event['data']);\n",
" }\n",
"\n",
" for(var toolbar_ind in mpl.toolbar_items){\n",
" var name = mpl.toolbar_items[toolbar_ind][0];\n",
" var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
" var image = mpl.toolbar_items[toolbar_ind][2];\n",
" var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
"\n",
" if (!name) { continue; };\n",
"\n",
" var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
" button.click(method_name, toolbar_event);\n",
" button.mouseover(tooltip, toolbar_mouse_event);\n",
" nav_element.append(button);\n",
" }\n",
"\n",
" // Add the status bar.\n",
" var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
" nav_element.append(status_bar);\n",
" this.message = status_bar[0];\n",
"\n",
" // Add the close button to the window.\n",
" var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
" var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
" button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
" button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
" buttongrp.append(button);\n",
" var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
" titlebar.prepend(buttongrp);\n",
"}\n",
"\n",
"mpl.figure.prototype._root_extra_style = function(el){\n",
" var fig = this\n",
" el.on(\"remove\", function(){\n",
"\tfig.close_ws(fig, {});\n",
" });\n",
"}\n",
"\n",
"mpl.figure.prototype._canvas_extra_style = function(el){\n",
" // this is important to make the div 'focusable\n",
" el.attr('tabindex', 0)\n",
" // reach out to IPython and tell the keyboard manager to turn it's self\n",
" // off when our div gets focus\n",
"\n",
" // location in version 3\n",
" if (IPython.notebook.keyboard_manager) {\n",
" IPython.notebook.keyboard_manager.register_events(el);\n",
" }\n",
" else {\n",
" // location in version 2\n",
" IPython.keyboard_manager.register_events(el);\n",
" }\n",
"\n",
"}\n",
"\n",
"mpl.figure.prototype._key_event_extra = function(event, name) {\n",
" var manager = IPython.notebook.keyboard_manager;\n",
" if (!manager)\n",
" manager = IPython.keyboard_manager;\n",
"\n",
" // Check for shift+enter\n",
" if (event.shiftKey && event.which == 13) {\n",
" this.canvas_div.blur();\n",
" event.shiftKey = false;\n",
" // Send a \"J\" for go to next cell\n",
" event.which = 74;\n",
" event.keyCode = 74;\n",
" manager.command_mode();\n",
" manager.handle_keydown(event);\n",
" }\n",
"}\n",
"\n",
"mpl.figure.prototype.handle_save = function(fig, msg) {\n",
" fig.ondownload(fig, null);\n",
"}\n",
"\n",
"\n",
"mpl.find_output_cell = function(html_output) {\n",
" // Return the cell and output element which can be found *uniquely* in the notebook.\n",
" // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
" // IPython event is triggered only after the cells have been serialised, which for\n",
" // our purposes (turning an active figure into a static one), is too late.\n",
" var cells = IPython.notebook.get_cells();\n",
" var ncells = cells.length;\n",
" for (var i=0; i<ncells; i++) {\n",
" var cell = cells[i];\n",
" if (cell.cell_type === 'code'){\n",
" for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
" var data = cell.output_area.outputs[j];\n",
" if (data.data) {\n",
" // IPython >= 3 moved mimebundle to data attribute of output\n",
" data = data.data;\n",
" }\n",
" if (data['text/html'] == html_output) {\n",
" return [cell, data, j];\n",
" }\n",
" }\n",
" }\n",
" }\n",
"}\n",
"\n",
"// Register the function which deals with the matplotlib target/channel.\n",
"// The kernel may be null if the page has been refreshed.\n",
"if (IPython.notebook.kernel != null) {\n",
" IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
"}\n"
],
"text/plain": [
"<IPython.core.display.Javascript object>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"<img src=\"data:image/png;base64,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
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"pyplot.rcParams['figure.figsize'] = (15, 80)\n",
"axes = pyplot.subplots(len(answers['question_text'].unique()), 2)[1].T\n",
"\n",
"for i, (granualiry, maps_) in enumerate(maps.items()):\n",
" axes[i, 0].set_title(granualiry)\n",
" for j, (word, map_) in enumerate(maps_.items()):\n",
" axes[i, j].imshow(imread(map_))\n",
" axes[i, j].set_xticks([]); axes[i, j].set_yticks([])\n",
" axes[0, j].set_ylabel(word)\n",
"\n",
"pyplot.tight_layout()"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [],
"source": [
"with open('../maps/bar-maps/index.html', 'w') as f:\n",
" f.write('<html><head></head><body>' + \n",
" '<br/>\\n'.join(\n",
" '\\t<a href=\"{}\">{}<a>'.format(fn, fn[:-5].replace('_', ' '))\n",
" for fn in sorted(\n",
" glob.glob('../maps/bar-maps/*.html')\n",
" )\n",
" for fn in [fn[len('../maps/bar-maps/'):]]\n",
" ) + \"</body></html>\")"
]
}
],
"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": "3.6.5"
}
},
"nbformat": 4,
"nbformat_minor": 2
}