From 204682cf26b9a9e6e2f0566d5e9155778b40596d Mon Sep 17 00:00:00 2001 From: Herbert Kruitbosch Date: Fri, 28 Sep 2018 12:28:54 +0200 Subject: [PATCH] cleanup notebooks Frysian dialect regions --- .gitignore | 5 + Readme.md | 24 +- data/free_speech_recordings_by_dialect.csv | 307 + data/free_speech_recordings_by_dialect.xlsx | Bin 0 -> 16129 bytes data/frysian_dialect_regions.geojson | 1 + data/picture_game_recordings_by_dialect.csv | 37054 ++++++++++++++++ data/picture_game_recordings_by_dialect.xlsx | Bin 0 -> 1333755 bytes ...ordings in 4 Frysian dialect regions.ipynb | 265 + 8 files changed, 37654 insertions(+), 2 deletions(-) create mode 100644 data/free_speech_recordings_by_dialect.csv create mode 100644 data/free_speech_recordings_by_dialect.xlsx create mode 100644 data/frysian_dialect_regions.geojson create mode 100644 data/picture_game_recordings_by_dialect.csv create mode 100644 data/picture_game_recordings_by_dialect.xlsx create mode 100644 notebooks/Group recordings in 4 Frysian dialect regions.ipynb diff --git a/.gitignore b/.gitignore index 95c6692..43fe957 100644 --- a/.gitignore +++ b/.gitignore @@ -1 +1,6 @@ data/all.txt +data/left_over.zip +__pycache__ +*.pyc +.idea/ +.ipynb_checkpoints/ diff --git a/Readme.md b/Readme.md index c61676b..9a99340 100644 --- a/Readme.md +++ b/Readme.md @@ -1,7 +1,8 @@ # Stimmen Fryslan +## Notebooks -# Extract Frysian dialect regions +### Extract Frysian dialect regions [notebook](notebooks/Dialect%20Regions%20from%20image.ipynb) @@ -9,4 +10,23 @@ Get polygons of dialect regions as mapped in this image ![dialect regions](data/dialects.png) -using image processing \ No newline at end of file +using image processing. + + +Results + + * [notebooks/dialect_regions.geojson](notebooks/dialect_regions.geojson) + +### Group recordings to Frysian dialect regions + +[notebook](notebooks/Group%20recordings%20in%204%20Frysian%20dialect%20regions.ipynb) + +Create spreadsheets with the recordings assigned to dialect regions. + +Results + + * [data/picture_game_recordings_by_dialect.csv](data/picture_game_recordings_by_dialect.csv) + * [data/picture_game_recordings_by_dialect.csv](data/picture_game_recordings_by_dialect.xlsx) + * [data/free_speech_recordings_by_dialect.xlsx](data/free_speech_recordings_by_dialect.csv) + * [data/free_speech_recordings_by_dialect.xlsx](data/free_speech_recordings_by_dialect.xlsx) + diff --git a/data/free_speech_recordings_by_dialect.csv b/data/free_speech_recordings_by_dialect.csv new file mode 100644 index 0000000..5633c23 --- /dev/null +++ b/data/free_speech_recordings_by_dialect.csv @@ -0,0 +1,307 @@ +,filename,dialect,boundary_distance +0,free_speech_recordings/Frysk/2017-07-05/fs_what-would-you-do-with-a-million-euros_88_lnyzs.wav,Waldfrysk,1.77631 +1,free_speech_recordings/Nederlands/2017-07-05/fs_what-would-you-do-with-a-million-euros_67_hwgru.wav,Waldfrysk,3.919238 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regions.ipynb new file mode 100644 index 0000000..5714e27 --- /dev/null +++ b/notebooks/Group recordings in 4 Frysian dialect regions.ipynb @@ -0,0 +1,265 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Group recordings in 4 Frysian dialect regions\n", + "\n", + " * Klaaifrysk\n", + " * Waldfrysk\n", + " * Sudwesthoeksk\n", + " * Noardhoeksk\n", + " \n", + "First run `Dialect Regions from image.ipynb`.\n", + "\n", + "![dialect regions](../data/dialects.png)" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "from math import floor\n", + "import json\n", + "import pandas\n", + "import MySQLdb\n", + "from collections import Counter\n", + "\n", + "from math import sqrt\n", + "import numpy as np\n", + "from shapely.geometry import shape, Point\n", + "from vincenty import vincenty\n", + "\n", + "from jupyter_progressbar import ProgressBar\n", + "\n", + "db = MySQLdb.connect(user='root', passwd='Nmmxhjgt1@', db='stimmen', charset='utf8')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Input\n", + "\n", + "Load the geojson with the dialect region and create shapely shapes." + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "scrolled": true + }, + "outputs": [], + "source": [ + "with open('dialect_regions.geojson', 'r') as f:\n", + " geojson = json.load(f)\n", + "\n", + "dialect_regions = [region['properties']['dialect'] for region in geojson['features']]" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "shapes = {\n", + " feature['properties']['dialect']: shape(feature['geometry'])\n", + " for feature in geojson['features']\n", + "}\n", + "\n", + "def regions_for(coordinate):\n", + " regions = {\n", + " region_name\n", + " for region_name, shape in shapes.items()\n", + " if shape.contains(Point(*coordinate))\n", + " }\n", + " return regions\n", + "\n", + "def distance_to_shape(shape, longitude, latitude):\n", + " ext = shape.exterior\n", + " p = ext.interpolate(ext.project(Point(longitude, latitude)))\n", + " return vincenty((latitude, longitude), (p.y, p.x))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Query and process\n", + "\n", + "Query all picture game and free speech recordings and assign the dialect region." + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "def dialect_regions_and_distance(data):\n", + " return[\n", + " {\n", + " 'dialects': [\n", + " {\n", + " 'dialect': dialect,\n", + " 'boundary_distance': distance_to_shape(shapes[dialect], longitude, latitude),\n", + " }\n", + " for dialect in regions_for((longitude, latitude))\n", + " ],\n", + " 'filename': filename,\n", + " }\n", + " for filename, (latitude, longitude) in ProgressBar(\n", + " data[['latitude', 'longitude']].iterrows(),\n", + " size=len(data)\n", + " )\n", + " ]" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "picture_games = pandas.read_sql('''\n", + "SELECT language.name as language, item.name as picture,\n", + " survey.user_lat as latitude, survey.user_lng as longitude,\n", + " survey.area_name as area, survey.country_name as country,\n", + " result.recording as filename,\n", + " result.submitted_at as date\n", + "FROM core_surveyresult as survey\n", + "INNER JOIN core_picturegameresult as result ON survey.id = result.survey_result_id\n", + "INNER JOIN core_language as language ON language.id = result.language_id\n", + "INNER JOIN core_picturegameitem as item\n", + " ON result.picture_game_item_id = item.id\n", + "''', db)\n", + "picture_games.set_index('filename', inplace=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "67ed3190256b447c81daf3df1f189318", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "VBox(children=(HBox(children=(FloatProgress(value=0.0, max=1.0), HTML(value='0s passed', placeholder='0…" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "dialect_region_per_picture_game = dialect_regions_and_distance(picture_games)" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "df = pandas.DataFrame([\n", + " [r['filename'], r['dialects'][0]['dialect'], r['dialects'][0]['boundary_distance']]\n", + " for r in dialect_region_per_picture_game\n", + " if len(r['dialects']) == 1\n", + "], columns = ['filename', 'dialect', 'boundary_distance'])\n", + "\n", + "df.to_excel('../data/picture_game_recordings_by_dialect.xlsx')\n", + "df.to_csv('../data/picture_game_recordings_by_dialect.csv')" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "free_speech_games = pandas.read_sql('''\n", + "SELECT language.name as language,\n", + " survey.user_lat as latitude, survey.user_lng as longitude,\n", + " survey.area_name as area, survey.country_name as country,\n", + " result.recording as filename,\n", + " result.submitted_at as date\n", + "FROM core_surveyresult as survey\n", + "INNER JOIN core_freespeechresult as result ON survey.id = result.survey_result_id\n", + "INNER JOIN core_language as language ON language.id = result.language_id\n", + "''', db)\n", + "free_speech_games.set_index('filename', inplace=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "201b0aed64e8494db603de15b560d919", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "VBox(children=(HBox(children=(FloatProgress(value=0.0, max=1.0), HTML(value='0s passed', placeholder='0…" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "dialect_region_per_free_speech = dialect_regions_and_distance(free_speech_games)" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [], + "source": [ + "df = pandas.DataFrame([\n", + " [r['filename'], r['dialects'][0]['dialect'], r['dialects'][0]['boundary_distance']]\n", + " for r in dialect_region_per_free_speech\n", + " if len(r['dialects']) == 1\n", + "], columns = ['filename', 'dialect', 'boundary_distance'])\n", + "\n", + "df.to_excel('../data/free_speech_recordings_by_dialect.xlsx')\n", + "df.to_csv('../data/free_speech_recordings_by_dialect.csv')" + ] + } + ], + "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": 1 +}

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