410 lines
10 MiB
Plaintext
410 lines
10 MiB
Plaintext
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{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Bar Maps per word for Pronounciation Occurence in Frysian Municipalities\n",
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"\n",
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"Each map displays the pronounciation occurence in Frysian municipalities for one word. Each municiplaity region is filled with one bar per pronunciation. The area of a bar is proportional to the represented pronunciation."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {},
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"outputs": [],
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"source": [
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"import sys\n",
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"sys.path.append('../')\n",
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"\n",
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"import pandas\n",
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"import MySQLdb\n",
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"import numpy\n",
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"import json\n",
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"\n",
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"db = MySQLdb.connect(user='root', passwd='Nmmxhjgt1@', db='stimmen', charset='utf8')\n",
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"\n",
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"%matplotlib notebook\n",
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"import folium\n",
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"from stimmen.geojson import inject_geojson_regions_into_dataframe\n",
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"from stimmen.folium import pronunciation_bars\n",
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"from stimmen.latitude_longitude import reverse_latitude_longitude\n",
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"from IPython.display import display"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"metadata": {},
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"outputs": [],
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"source": [
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"with open('../data/Friesland_gemeentes.geojson') as f:\n",
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" regions = json.load(f)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"metadata": {},
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"outputs": [],
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"source": [
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"# Answers to how participants state a word should be pronounces.\n",
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"\n",
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"answers = pandas.read_sql('''\n",
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"SELECT prediction_quiz_id, user_lat, user_lng, question_text, answer_text\n",
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"FROM core_surveyresult as survey\n",
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"INNER JOIN core_predictionquizresult as result ON survey.id = result.survey_result_id\n",
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"INNER JOIN core_predictionquizresultquestionanswer as answer\n",
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" ON result.id = answer.prediction_quiz_id\n",
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"''', db)\n",
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"\n",
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"answers = inject_geojson_regions_into_dataframe(\n",
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" regions, answers,\n",
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" latitude_column='user_lat', longitude_column='user_lng',\n",
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" region_name_property='gemeente_naam',\n",
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" region_name_column='region'\n",
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")\n",
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"\n",
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"zero_latlng_questions = {\n",
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" q\n",
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" for q, row in answers.groupby('question_text').agg('std').iterrows()\n",
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" if row['user_lat'] == 0 and row['user_lng'] == 0\n",
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"}\n",
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"answers = answers[answers['question_text'].map(lambda x: x not in zero_latlng_questions)]\n",
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"\n",
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"answers['question_text'] = answers['question_text'].map(lambda x: x.replace('\"', '').replace('*', ''))\n",
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"\n",
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"answers['answer_text'] = answers['answer_text'].map(lambda x: x[x.find('('):x.find(')')][1:])"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 6,
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"metadata": {
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"scrolled": false
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},
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"outputs": [
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{
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"data": {
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"application/vnd.jupyter.widget-view+json": {
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"model_id": "7722c5b30a4d4ee38bb4fb3077715b6f",
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"version_major": 2,
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"version_minor": 0
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},
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"text/plain": [
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"VBox(children=(HBox(children=(FloatProgress(value=0.0, max=1.0), HTML(value='<b>0</b>s passed', placeholder='0…"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"../stimmen/folium.py:139: RuntimeWarning: invalid value encountered in true_divide\n",
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" group_percentages = np.array(group_occurrences) / len(region_rows)\n",
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"../stimmen/folium.py:140: RuntimeWarning: invalid value encountered in true_divide\n",
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" group_boundaries = np.cumsum((0,) + group_occurrences) / len(region_rows)\n"
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]
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},
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{
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"data": {
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"text/html": [
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],
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"<folium.folium.Map at 0x7f2ccd1d7b38>"
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]
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},
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"metadata": {},
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},
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{
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],
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]
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},
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"metadata": {},
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"output_type": "display_data"
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"<div style=\"width:100%;\"><div style=\"position:relative;width:100%;height:0;padding-bottom:60%;\"><iframe src=\"data:text/html;charset=utf-8;base64,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
|
||
|
],
|
||
|
"text/plain": [
|
||
|
"<folium.folium.Map at 0x7f2ccd0f04a8>"
|
||
|
]
|
||
|
},
|
||
|
"metadata": {},
|
||
|
"output_type": "display_data"
|
||
|
}
|
||
|
],
|
||
|
"source": [
|
||
|
"for word_index, (word, word_rows) in enumerate(answers.groupby('question_text')):\n",
|
||
|
" m = folium.Map(\n",
|
||
|
" (word_rows['user_lat'].median(), word_rows['user_lng'].median()),\n",
|
||
|
" tiles='stamentoner', zoom_start=10)\n",
|
||
|
"\n",
|
||
|
" for pronunciation, feature_group in pronunciation_bars(\n",
|
||
|
" regions, word_rows,\n",
|
||
|
" region_name_property='gemeente_naam',\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",
|
||
|
" ).items():\n",
|
||
|
" feature_group.add_to(m)\n",
|
||
|
" \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",
|
||
|
" folium.map.LayerControl('topright', collapsed=False).add_to(m)\n",
|
||
|
" display(m)\n",
|
||
|
" m.save('../maps/bar-maps/{}.html'.format(word))"
|
||
|
]
|
||
|
},
|
||
|
{
|
||
|
"cell_type": "code",
|
||
|
"execution_count": 7,
|
||
|
"metadata": {},
|
||
|
"outputs": [],
|
||
|
"source": [
|
||
|
"import glob\n",
|
||
|
"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
|
||
|
}
|