459 lines
12 KiB
Plaintext
459 lines
12 KiB
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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"# Geographical pronunciation tables, simple example\n",
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"\n",
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"Simple example to create gabmap files for two words with few pronunciations an two regions."
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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 json\n",
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"import copy\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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"from shapely.geometry import shape, Point\n",
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"\n",
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"from gabmap import create_gabmap_dataframes\n",
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"\n",
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"from stimmen.geojson import merge_features"
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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_wijken.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": "markdown",
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"metadata": {},
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"source": [
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"## Load and simplify"
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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 pronounced\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": 4,
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"metadata": {},
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"outputs": [],
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"source": [
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"regions_simple = merge_features(copy.deepcopy(regions),\n",
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" condition=lambda feature: feature['properties']['GM_NAAM'] == 'Heerenveen',\n",
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")\n",
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"\n",
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"regions_simple = merge_features(\n",
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" regions_simple,\n",
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" condition=lambda feature: feature['properties']['GM_NAAM'] == 'Leeuwarden',\n",
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")\n",
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"regions_simple['features'] = regions_simple['features'][-2:]\n",
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"\n",
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"regions_simple['features'][0]['properties']['name'] = 'Heerenveen'\n",
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"regions_simple['features'][1]['properties']['name'] = 'Leeuwarden'"
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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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"answers_simple = answers[\n",
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" (answers['question_text'] == '\"blad\" (aan een boom)') |\n",
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" (answers['question_text'] == '\"vis\"')\n",
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"].copy()\n",
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"\n",
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"answers_simple['question_text'] = answers_simple['question_text'].map(\n",
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" lambda x: x.replace('\"', '').replace('*', ''))\n",
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"\n",
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"answers_simple['answer_text'] = answers_simple['answer_text'].map(\n",
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" 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": "markdown",
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"metadata": {},
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"source": [
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"Two words, boom and vis, with each 4 and 2 pronunciations"
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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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"data": {
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"text/html": [
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"<div>\n",
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"<style scoped>\n",
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" .dataframe tbody tr th:only-of-type {\n",
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" vertical-align: middle;\n",
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" }\n",
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"\n",
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" .dataframe tbody tr th {\n",
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" vertical-align: top;\n",
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" }\n",
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"\n",
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" .dataframe thead th {\n",
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" text-align: right;\n",
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" }\n",
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"</style>\n",
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"<table border=\"1\" class=\"dataframe\">\n",
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" <thead>\n",
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" <tr style=\"text-align: right;\">\n",
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" <th></th>\n",
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" <th>answer_text</th>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>question_text</th>\n",
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" <th></th>\n",
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" </tr>\n",
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" </thead>\n",
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" <tbody>\n",
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" <tr>\n",
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" <th>blad (aan een boom)</th>\n",
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" <td>4</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>vis</th>\n",
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" <td>2</td>\n",
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" </tr>\n",
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" </tbody>\n",
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"</table>\n",
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"</div>"
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],
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"text/plain": [
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" answer_text\n",
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"question_text \n",
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"blad (aan een boom) 4\n",
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"vis 2"
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]
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},
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"execution_count": 6,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"answers_simple.groupby('question_text').agg({'answer_text': lambda x: len(set(x))})"
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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": 7,
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"metadata": {},
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"outputs": [],
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"source": [
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"centroids_example, pronunciations_example, counts_example = create_gabmap_dataframes(\n",
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" regions_simple, answers_simple,\n",
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" latitude_column='user_lat', longitude_column='user_lng',\n",
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" word_column='question_text', pronunciation_column='answer_text',\n",
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" region_name_property='name'\n",
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")"
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]
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},
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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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"## Resulting tables\n",
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"\n",
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"Stored as tab separated files for gabmap"
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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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"data": {
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"text/html": [
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"<div>\n",
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"<style scoped>\n",
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" .dataframe tbody tr th:only-of-type {\n",
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" vertical-align: middle;\n",
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" }\n",
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"\n",
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" .dataframe tbody tr th {\n",
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" vertical-align: top;\n",
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" }\n",
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"\n",
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" .dataframe thead th {\n",
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" text-align: right;\n",
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" }\n",
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"</style>\n",
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"<table border=\"1\" class=\"dataframe\">\n",
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" <thead>\n",
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" <tr style=\"text-align: right;\">\n",
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" <th></th>\n",
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" <th>latitude</th>\n",
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" <th>longitude</th>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>#name</th>\n",
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" <th></th>\n",
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" <th></th>\n",
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" </tr>\n",
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" </thead>\n",
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" <tbody>\n",
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" <tr>\n",
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" <th>Heerenveen</th>\n",
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" <td>52.996076</td>\n",
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" <td>5.977925</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>Leeuwarden</th>\n",
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" <td>53.169940</td>\n",
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" <td>5.797613</td>\n",
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" </tr>\n",
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" </tbody>\n",
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"</table>\n",
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"</div>"
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],
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"text/plain": [
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" latitude longitude\n",
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"#name \n",
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"Heerenveen 52.996076 5.977925\n",
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"Leeuwarden 53.169940 5.797613"
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]
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},
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"execution_count": 8,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"centroids_example"
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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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"outputs": [
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{
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"data": {
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"text/html": [
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"<div>\n",
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"<style scoped>\n",
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" .dataframe tbody tr th:only-of-type {\n",
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" vertical-align: middle;\n",
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" }\n",
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"\n",
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" .dataframe tbody tr th {\n",
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" vertical-align: top;\n",
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" }\n",
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"\n",
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" .dataframe thead th {\n",
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" text-align: right;\n",
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" }\n",
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"</style>\n",
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"<table border=\"1\" class=\"dataframe\">\n",
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" <thead>\n",
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" <tr style=\"text-align: right;\">\n",
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" <th></th>\n",
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" <th>blad (aan een boom)</th>\n",
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" <th>vis</th>\n",
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" </tr>\n",
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" <tr>\n",
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" <th></th>\n",
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" <th></th>\n",
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" <th></th>\n",
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" </tr>\n",
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" </thead>\n",
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" <tbody>\n",
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" <tr>\n",
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" <th>Heerenveen</th>\n",
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" <td>blet / blɑt / blɔd / blɛ:t</td>\n",
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" <td>fisk / fɪs</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>Leeuwarden</th>\n",
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" <td>blet / blɑt / blɔd / blɛ:t</td>\n",
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" <td>fisk / fɪs</td>\n",
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" </tr>\n",
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" </tbody>\n",
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"</table>\n",
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"</div>"
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],
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"text/plain": [
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" blad (aan een boom) vis\n",
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" \n",
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"Heerenveen blet / blɑt / blɔd / blɛ:t fisk / fɪs\n",
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"Leeuwarden blet / blɑt / blɔd / blɛ:t fisk / fɪs"
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]
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},
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"execution_count": 9,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"pronunciations_example"
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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": 10,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/html": [
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"\n",
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" text-align: right;\n",
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" }\n",
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"</style>\n",
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"<table border=\"1\" class=\"dataframe\">\n",
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" <thead>\n",
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" <tr style=\"text-align: right;\">\n",
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" <th></th>\n",
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" <th>blad (aan een boom): blet</th>\n",
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" <th>blad (aan een boom): blɑt</th>\n",
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" <th>blad (aan een boom): blɔd</th>\n",
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" <th>blad (aan een boom): blɛ:t</th>\n",
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" <th>vis: fisk</th>\n",
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" <th>vis: fɪs</th>\n",
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" </tr>\n",
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" <tr>\n",
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" <th></th>\n",
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" <th></th>\n",
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" <th></th>\n",
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" <th></th>\n",
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" <th></th>\n",
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" <th></th>\n",
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" <th></th>\n",
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" </tr>\n",
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" </thead>\n",
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" <tbody>\n",
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" <tr>\n",
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" <th>Heerenveen</th>\n",
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" <td>31.654676</td>\n",
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" <td>2.158273</td>\n",
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" <td>2.158273</td>\n",
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" <td>64.028777</td>\n",
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" <td>52.517986</td>\n",
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" <td>47.482014</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>Leeuwarden</th>\n",
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" <td>7.865169</td>\n",
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" <td>7.022472</td>\n",
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" <td>8.707865</td>\n",
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" <td>76.404494</td>\n",
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" <td>75.000000</td>\n",
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" <td>25.000000</td>\n",
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" </tr>\n",
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" </tbody>\n",
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"</table>\n",
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"</div>"
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],
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"text/plain": [
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" blad (aan een boom): blet blad (aan een boom): blɑt \\\n",
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" \n",
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"Heerenveen 31.654676 2.158273 \n",
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"Leeuwarden 7.865169 7.022472 \n",
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"\n",
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" blad (aan een boom): blɔd blad (aan een boom): blɛ:t vis: fisk \\\n",
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" \n",
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"Heerenveen 2.158273 64.028777 52.517986 \n",
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"Leeuwarden 8.707865 76.404494 75.000000 \n",
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"\n",
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" vis: fɪs \n",
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" \n",
|
|||
|
"Heerenveen 47.482014 \n",
|
|||
|
"Leeuwarden 25.000000 "
|
|||
|
]
|
|||
|
},
|
|||
|
"execution_count": 10,
|
|||
|
"metadata": {},
|
|||
|
"output_type": "execute_result"
|
|||
|
}
|
|||
|
],
|
|||
|
"source": [
|
|||
|
"counts_example"
|
|||
|
]
|
|||
|
},
|
|||
|
{
|
|||
|
"cell_type": "code",
|
|||
|
"execution_count": 11,
|
|||
|
"metadata": {},
|
|||
|
"outputs": [],
|
|||
|
"source": [
|
|||
|
"pronunciations_example.to_csv('../data/Pronunciations_example.gabmap.tsv', sep='\\t')\n",
|
|||
|
"counts_example.to_csv('../data/Pronunciation_percentages_example.gabmap.tsv', sep='\\t')\n",
|
|||
|
"centroids_example.to_csv('../data/Centroids_example.gabmap.tsv', sep='\\t', columns=['longitude', 'latitude'])\n",
|
|||
|
"with open('../data/Gabmap_example.geojson', 'w') as f:\n",
|
|||
|
" json.dump(regions_simple, f)"
|
|||
|
]
|
|||
|
}
|
|||
|
],
|
|||
|
"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
|
|||
|
}
|