294 lines
10 KiB
Plaintext
294 lines
10 KiB
Plaintext
{
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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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"# Geographical pronunciation statistics"
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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": 12,
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"metadata": {},
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"outputs": [],
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"source": [
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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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"from matplotlib import pyplot\n",
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"import folium\n",
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"from IPython.display import display\n",
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"from shapely.geometry import Polygon, MultiPolygon, shape, Point\n",
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"from jsbutton import JsButton\n",
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"from jupyter_progressbar import ProgressBar\n",
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"from collections import defaultdict\n",
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"from ipy_table import make_table\n",
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"from html import escape\n",
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"\n",
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"import numpy as np\n",
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"import matplotlib.pyplot as plt\n",
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"from matplotlib.colors import LogNorm\n",
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"from sklearn import mixture\n",
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"from skimage.measure import find_contours\n",
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"from collections import Counter\n",
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"from random import shuffle"
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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": 13,
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"metadata": {},
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"outputs": [],
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"source": [
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"# Borders of Frysian municipalities\n",
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"\n",
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"with open('Friesland_AL8.GeoJson') as f:\n",
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" gemeentes = 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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"coords = [feature['geometry'] for feature in gemeentes['features']]\n",
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"coords_folium = [[[[c__[::-1] for c__ in c_] for c_ in c] for c in coords_['coordinates']] for coords_ in coords]\n",
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"shapes = [shape(coords_) for coords_ in coords]\n",
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"gemeente_names = [feature['properties']['name'] for feature in gemeentes['features']]\n",
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"\n",
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"def get_gemeente(point):\n",
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" for i, shape in enumerate(shapes):\n",
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" if shape.contains(point):\n",
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" return i\n",
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" return -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": 4,
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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)"
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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": 5,
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"metadata": {},
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"outputs": [],
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"source": [
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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_filtered = answers[answers['question_text'].map(lambda x: x not in zero_latlng_questions)]"
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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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"outputs": [
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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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"/home/herbert/.virtualenvs/stimmenfryslan/lib/python3.6/site-packages/ipykernel_launcher.py:10: SettingWithCopyWarning: \n",
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"A value is trying to be set on a copy of a slice from a DataFrame.\n",
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"Try using .loc[row_indexer,col_indexer] = value instead\n",
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"\n",
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"See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
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" # Remove the CWD from sys.path while we load stuff.\n"
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]
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}
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],
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"source": [
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"# Takes approximately 2 minutes\n",
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"\n",
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"gemeente_map = {\n",
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" (lng, lat): get_gemeente(Point(lng, lat))\n",
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" for lng, lat in set(zip(answers_filtered['user_lng'], answers_filtered['user_lat']))\n",
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"}\n",
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"\n",
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"answers_filtered['gemeente'] = [\n",
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" gemeente_map[(lng, lat)]\n",
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" for lat, lng in zip(answers_filtered['user_lat'], answers_filtered['user_lng'])\n",
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"]"
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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": 8,
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"metadata": {},
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"outputs": [
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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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"/home/herbert/.virtualenvs/stimmenfryslan/lib/python3.6/site-packages/ipykernel_launcher.py:2: SettingWithCopyWarning: \n",
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"A value is trying to be set on a copy of a slice from a DataFrame.\n",
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"Try using .loc[row_indexer,col_indexer] = value instead\n",
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"\n",
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"See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
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" \n"
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]
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}
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],
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"source": [
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"answers_filtered['question_text_url'] = answers_filtered['question_text'].map(\n",
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" lambda x: x.replace('\"', '').replace('*', ''))"
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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": 9,
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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": "e48eb24f5c43434bad4241d4bea53074",
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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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"source": [
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"cmap = pyplot.get_cmap('YlOrRd')\n",
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"\n",
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"for question, rows in ProgressBar(\n",
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" answers_filtered.groupby('question_text_url'),\n",
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" size=len(answers_filtered['question_text_url'].unique())\n",
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"):\n",
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" m = folium.Map((rows['user_lat'].median(), rows['user_lng'].median()), tiles=None, zoom_start=9)\n",
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" pecentage_labels = folium.FeatureGroup(name='pecentages', overlay=True)\n",
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" order = [a for _, a in sorted((\n",
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" (r['user_lat'], answer)\n",
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" for answer, r in rows.groupby('answer_text').count().iterrows()\n",
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" ), reverse=True)]\n",
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" gemeente_normalizer = {\n",
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" gemeente: r['user_lat']\n",
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" for gemeente, r in rows.groupby('gemeente').count().iterrows()\n",
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" }\n",
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" for answer_text in order:\n",
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" rows_ = rows[rows['answer_text'] == answer_text]\n",
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" if (rows_['gemeente'] >= 0).sum() <= 0:\n",
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" continue\n",
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"\n",
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" spread = {\n",
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" gemeente: r['user_lat']\n",
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" for gemeente, r in rows_.groupby('gemeente').count().iterrows()\n",
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" if gemeente >= 0\n",
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" }\n",
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" n_answers = sum(spread.values())\n",
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" \n",
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" name = '{} ({})'.format(answer_text, n_answers)\n",
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" group = folium.FeatureGroup(name=name, overlay=False)\n",
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" folium.TileLayer(tiles='stamentoner').add_to(group)\n",
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" \n",
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" max_value = max(value / gemeente_normalizer[gemeente] for gemeente, value in spread.items())\n",
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" for gemeente, gemeente_name in enumerate(gemeente_names):\n",
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" if gemeente in spread:\n",
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" value = spread[gemeente]\n",
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" percentage = value / gemeente_normalizer[gemeente]\n",
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" color_value = percentage / max_value\n",
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" color = '#%02x%02x%02x' % tuple(int(255 * c) for c in cmap(color_value)[:3])\n",
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" \n",
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" polygon = folium.Polygon(coords_folium[gemeente], fill_color=color, fill_opacity=0.8,\n",
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" color='#555555', popup='{} ({}, {}%)'.format(gemeente_name, value, round(100*percentage)))\n",
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" centroid = shapes[gemeente].centroid\n",
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" centroid = (centroid.y, centroid.x)\n",
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"# folium.Circle(centroid, color='green', radius=200).add_to(group)\n",
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" folium.map.Marker(\n",
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" [shapes[gemeente].centroid.y, shapes[gemeente].centroid.x],\n",
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" icon=folium.DivIcon(\n",
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" icon_size=(50, 24),\n",
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" icon_anchor=(25, 12),\n",
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" html='<div class=\"percentage-label\" style=\"font-size: 12pt; background-color: rgba(255,255,255,0.8); border-radius: 12px; text-align: center;\">{:d}%</div>'.format(int(100 * percentage)),\n",
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" )\n",
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" ).add_to(group)\n",
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" else:\n",
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" polygon = folium.Polygon(coords_folium[gemeente], fill_color=None, fill_opacity=0, color='#555555')\n",
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" polygon.add_to(group)\n",
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" group.add_to(m)\n",
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" pecentage_labels.add_to(m)\n",
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" folium.map.LayerControl('topright', collapsed=False).add_to(m)\n",
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" JsButton(\n",
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" title='<i class=\"fas fa-tags\"></i>',\n",
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" function=\"\"\"\n",
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" function(btn, map){\n",
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" $('.percentage-label').toggle();\n",
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" }\n",
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" \"\"\"\n",
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" ).add_to(m)\n",
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"# display(m)\n",
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" m.save('maps/heatmaps/{}.html'.format(question))\n",
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"# break"
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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": 11,
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"metadata": {},
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"outputs": [],
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"source": [
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"import glob\n",
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"with open('maps/heatmaps/index.html', 'w') as f:\n",
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" f.write('<html><head></head><body>' + \n",
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" '<br/>\\n'.join(\n",
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" '\\t<a href=\"http://herbertkruitbosch.com/pronunciation_maps/{}\">{}<a>'.format(fn[5:], fn[14:-5].replace('_', ' '))\n",
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" for fn in sorted(\n",
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" glob.glob('maps/heatmaps/*.html')\n",
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" )\n",
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" ) + \"</body></html>\")"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.6.5"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}
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