103 lines
2.6 KiB
Plaintext
103 lines
2.6 KiB
Plaintext
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{
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"cells": [
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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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"source": [
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"from glob import glob\n",
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"\n",
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"import os"
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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": 16,
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"metadata": {},
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"outputs": [],
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"source": [
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"waves = [\n",
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" wave\n",
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" for location in os.listdir('data')\n",
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" for date in os.listdir(os.path.join('data', location))\n",
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" for wave in os.listdir(os.path.join('data', location, date))\n",
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"]\n",
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"assert len(waves) == len(set(waves)), \"Not all filenames are unique :(\""
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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": 25,
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"metadata": {},
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"outputs": [],
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"source": [
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"for location in os.listdir('data'):\n",
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" for date in os.listdir(os.path.join('data', location)):\n",
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" for wave in os.listdir(os.path.join('data', location, date)):\n",
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" source = os.path.join('data', location, date, wave)\n",
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" destination = os.path.join('per_word', wave.split('_')[1])\n",
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" if not os.path.isdir(destination):\n",
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" os.mkdir(destination)\n",
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" os.rename(source, os.path.join(destination, wave))"
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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": 26,
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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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"\n",
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"data = pandas.read_csv('/home/herbert/picture-game-result-export.csv', delimiter=';')\n",
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"data['Filename'] = [x.split('/')[-1] for x in data['Opname']]"
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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": 52,
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"metadata": {},
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"outputs": [],
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"source": [
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"for word in os.listdir('per_word'):\n",
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" for wave in os.listdir(os.path.join('per_word', word)):\n",
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" source = os.path.join('per_word', word, wave)\n",
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" if wave not in relevant:\n",
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" destination = os.path.join('per_word', word, 'irrelevant_accent_' + wave)\n",
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" os.rename(source, destination)"
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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": 63,
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"metadata": {},
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"outputs": [],
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"source": [
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"data.to_excel('/home/herbert/picture-game-result-export-filename.xlsx')"
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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": "3.5.2"
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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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