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76
.ipynb_checkpoints/Professionals_Sort-checkpoint.ipynb
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76
.ipynb_checkpoints/Professionals_Sort-checkpoint.ipynb
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{
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"cells": [
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{
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"cell_type": "code",
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"source": [
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"import pandas as pd\n",
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"import csv\n",
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"filename = 'Table_Réf_Professionnels_250430'\n",
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"df = pd.read_csv(\"H:\\\\Mon Drive\\\\Ziwig Health\\\\Tables de Réf\\\\Professionnels\\\\\"+filename+\".csv\", sep='|', doublequote=False, quoting=csv.QUOTE_NONE,dtype=str, na_values='', keep_default_na=False)\n",
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"df.columns"
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],
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"metadata": {
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"collapsed": false,
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"jupyter": {
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"is_executing": true
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}
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},
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"outputs": [],
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"execution_count": null
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},
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{
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"cell_type": "code",
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"source": [
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"df.shape"
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],
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"metadata": {
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"collapsed": false
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},
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"outputs": [],
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"execution_count": null
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},
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{
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"cell_type": "code",
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"source": [
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"df_sorted = df.sort_values([\"Identifiant PP\", \"Nom d'exercice\", \"Prénom d'exercice\", 'Libellé profession', 'Libellé savoir-faire', 'Bureau cedex (coord. structure)', 'Numéro Voie (coord. structure)', 'Indice répétition voie (coord. structure)', 'Libellé type de voie (coord. structure)', 'Libellé Voie (coord. structure)' , 'Mention distribution (coord. structure)', 'Téléphone (coord. structure)'])"
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],
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"metadata": {
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"collapsed": false
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},
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"outputs": [],
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"execution_count": null
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},
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{
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"cell_type": "code",
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"source": [
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"df_sorted.to_csv(\"H:\\\\Mon Drive\\\\Ziwig Health\\\\Tables de Réf\\\\Professionnels\\\\\"+filename+\"-sorted.csv\", sep='|', index=False, doublequote=False, quoting=csv.QUOTE_NONE, lineterminator='\\n')"
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],
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"metadata": {
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"collapsed": false
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},
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"outputs": [],
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"execution_count": null
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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 (ipykernel)",
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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": "3.8.12"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 4
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}
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6
.ipynb_checkpoints/Untitled-checkpoint.ipynb
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6
.ipynb_checkpoints/Untitled-checkpoint.ipynb
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@@ -0,0 +1,6 @@
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{
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"cells": [],
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"metadata": {},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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