{ "cells": [ { "metadata": { "ExecuteTime": { "end_time": "2025-08-19T22:45:53.794236Z", "start_time": "2025-08-19T22:45:51.445477Z" } }, "cell_type": "code", "source": [ "%%time\n", "import polars as pd\n", "import csv\n", "folder = \"E:\\\\Ziwig Drive\\\\Ziwig Health\\\\Tables de Réf\\\\Professionnels\\\\\"\n", "input_file = \"Table_Réf_Professionnels_250815.txt\"\n", "output_file = \"Table_Réf_Professionnels_inconsistencies\"\n", "output_extension = \".csv\"\n", "df = pd.read_csv(f\"{folder}{input_file}\",\n", " separator='|',\n", " quote_char=None,\n", " null_values='',\n", " infer_schema_length=0) # Read all columns as strings\n", "df = df.with_row_index('index')\n", "df.columns\n" ], "id": "58db5082e27759f7", "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "CPU times: total: 13 s\n", "Wall time: 2.33 s\n" ] }, { "data": { "text/plain": [ "['index',\n", " \"Type d'identifiant PP\",\n", " 'Identifiant PP',\n", " 'Identification nationale PP',\n", " \"Code civilité d'exercice\",\n", " \"Libellé civilité d'exercice\",\n", " 'Code civilité',\n", " 'Libellé civilité',\n", " \"Nom d'exercice\",\n", " \"Prénom d'exercice\",\n", " 'Code profession',\n", " 'Libellé profession',\n", " 'Code catégorie professionnelle',\n", " 'Libellé catégorie professionnelle',\n", " 'Code type savoir-faire',\n", " 'Libellé type savoir-faire',\n", " 'Code savoir-faire',\n", " 'Libellé savoir-faire',\n", " 'Code mode exercice',\n", " 'Libellé mode exercice',\n", " 'Numéro SIRET site',\n", " 'Numéro SIREN site',\n", " 'Numéro FINESS site',\n", " 'Numéro FINESS établissement juridique',\n", " 'Identifiant technique de la structure',\n", " 'Raison sociale site',\n", " 'Enseigne commerciale site',\n", " 'Complément destinataire (coord. structure)',\n", " 'Complément point géographique (coord. structure)',\n", " 'Numéro Voie (coord. structure)',\n", " 'Indice répétition voie (coord. structure)',\n", " 'Code type de voie (coord. structure)',\n", " 'Libellé type de voie (coord. structure)',\n", " 'Libellé Voie (coord. structure)',\n", " 'Mention distribution (coord. structure)',\n", " 'Bureau cedex (coord. structure)',\n", " 'Code postal (coord. structure)',\n", " 'Code commune (coord. structure)',\n", " 'Libellé commune (coord. structure)',\n", " 'Code pays (coord. structure)',\n", " 'Libellé pays (coord. structure)',\n", " 'Téléphone (coord. structure)',\n", " 'Téléphone 2 (coord. structure)',\n", " 'Télécopie (coord. structure)',\n", " 'Adresse e-mail (coord. structure)',\n", " 'Code Département (structure)',\n", " 'Libellé Département (structure)',\n", " 'Ancien identifiant de la structure',\n", " \"Autorité d'enregistrement\",\n", " \"Code secteur d'activité\",\n", " \"Libellé secteur d'activité\",\n", " 'Code section tableau pharmaciens',\n", " 'Libellé section tableau pharmaciens',\n", " 'Code rôle',\n", " 'Libellé rôle',\n", " 'Code genre activité',\n", " 'Libellé genre activité',\n", " '']" ] }, "execution_count": 57, "metadata": {}, "output_type": "execute_result" } ], "execution_count": 57 }, { "metadata": { "ExecuteTime": { "end_time": "2025-08-19T22:45:54.952210Z", "start_time": "2025-08-19T22:45:53.873718Z" } }, "cell_type": "code", "source": [ "%%time\n", "df1 = (\n", " df.with_columns(\n", " (pd.col(\"Nom d'exercice\") + \" \" + pd.col(\"Prénom d'exercice\")).alias(\"Nom_Prénom\")\n", " )\n", " .with_columns(\n", " pd.col(\"Nom_Prénom\").n_unique().over(\"Identifiant PP\").alias(\"Count\")\n", " )\n", " .filter(pd.col(\"Count\") > 1)\n", " .sort([\"Identifiant PP\", \"index\"])\n", " .select(\"index\", \"Identifiant PP\", \"Count\", \"Nom d'exercice\", \"Prénom d'exercice\")\n", ")\n", "df1\n" ], "id": "7d9b7562c09955", "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "CPU times: total: 4.83 s\n", "Wall time: 1.07 s\n" ] }, { "data": { "text/plain": [ "shape: (9_108, 5)\n", "┌─────────┬────────────────┬───────┬────────────────┬───────────────────┐\n", "│ index ┆ Identifiant PP ┆ Count ┆ Nom d'exercice ┆ Prénom d'exercice │\n", "│ --- ┆ --- ┆ --- ┆ --- ┆ --- │\n", "│ u32 ┆ str ┆ u32 ┆ str ┆ str │\n", "╞═════════╪════════════════╪═══════╪════════════════╪═══════════════════╡\n", "│ 1352933 ┆ 10000034180 ┆ 2 ┆ DUWAT-GEORGES ┆ GHISLAINE │\n", "│ 1352934 ┆ 10000034180 ┆ 2 ┆ GEORGES ┆ GHISLAINE │\n", "│ 261 ┆ 10000040062 ┆ 2 ┆ MEYER ┆ Nicolas │\n", "│ 262 ┆ 10000040062 ┆ 2 ┆ MEYER ┆ Nicolas │\n", "│ 811196 ┆ 10000040062 ┆ 2 ┆ MEYER ┆ NICOLAS │\n", "│ … ┆ … ┆ … ┆ … ┆ … │\n", "│ 2162425 ┆ 10111110721 ┆ 2 ┆ BARREAU ┆ Nadège │\n", "│ 268237 ┆ 10111112636 ┆ 2 ┆ GIRAUDET ┆ MEGGIE │\n", "│ 1892318 ┆ 10111112636 ┆ 2 ┆ GIRAUDET ┆ Meggie │\n", "│ 269544 ┆ 10111320304 ┆ 2 ┆ Sengel ┆ Coralie │\n", "│ 1352396 ┆ 10111320304 ┆ 2 ┆ SENGEL ┆ Coralie │\n", "└─────────┴────────────────┴───────┴────────────────┴───────────────────┘" ], "text/html": [ "
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indexIdentifiant PPCountNom d'exercicePrénom d'exercice
u32stru32strstr
1352933"10000034180"2"DUWAT-GEORGES""GHISLAINE"
1352934"10000034180"2"GEORGES""GHISLAINE"
261"10000040062"2"MEYER""Nicolas"
262"10000040062"2"MEYER""Nicolas"
811196"10000040062"2"MEYER""NICOLAS"
……………
2162425"10111110721"2"BARREAU""Nadège"
268237"10111112636"2"GIRAUDET""MEGGIE"
1892318"10111112636"2"GIRAUDET""Meggie"
269544"10111320304"2"Sengel""Coralie"
1352396"10111320304"2"SENGEL""Coralie"
" ] }, "execution_count": 58, "metadata": {}, "output_type": "execute_result" } ], "execution_count": 58 }, { "metadata": { "ExecuteTime": { "end_time": "2025-08-19T22:45:55.090712Z", "start_time": "2025-08-19T22:45:55.072647Z" } }, "cell_type": "code", "source": [ "df1.write_csv(f\"{folder}{output_file}-Names_Variations_Strict{output_extension}\",\n", " separator='|',\n", " quote_style=\"never\",\n", " line_terminator='\\n')\n" ], "id": "c418a6ea7abd77b", "outputs": [], "execution_count": 59 }, { "metadata": { "ExecuteTime": { "end_time": "2025-08-19T22:45:56.962873Z", "start_time": "2025-08-19T22:45:55.259223Z" } }, "cell_type": "code", "source": [ "%%time\n", "df2 = (\n", " df.with_columns(\n", " (pd.col(\"Nom d'exercice\").str.to_lowercase() + \" \" + pd.col(\"Prénom d'exercice\").str.to_lowercase()).alias(\"Nom_Prénom\")\n", " )\n", " .with_columns(\n", " pd.col(\"Nom_Prénom\").n_unique().over(\"Identifiant PP\").alias(\"Count\")\n", " )\n", " .filter(pd.col(\"Count\") > 1)\n", " .sort([\"Identifiant PP\", \"index\"])\n", " .select(\"index\", \"Identifiant PP\", \"Count\", \"Nom d'exercice\", \"Prénom d'exercice\")\n", ")\n", "df2\n" ], "id": "9d94b716364356c7", "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "CPU times: total: 5.06 s\n", "Wall time: 1.68 s\n" ] }, { "data": { "text/plain": [ "shape: (5_426, 5)\n", "┌─────────┬────────────────┬───────┬────────────────┬───────────────────┐\n", "│ index ┆ Identifiant PP ┆ Count ┆ Nom d'exercice ┆ Prénom d'exercice │\n", "│ --- ┆ --- ┆ --- ┆ --- ┆ --- │\n", "│ u32 ┆ str ┆ u32 ┆ str ┆ str │\n", "╞═════════╪════════════════╪═══════╪════════════════╪═══════════════════╡\n", "│ 1352933 ┆ 10000034180 ┆ 2 ┆ DUWAT-GEORGES ┆ GHISLAINE │\n", "│ 1352934 ┆ 10000034180 ┆ 2 ┆ GEORGES ┆ GHISLAINE │\n", "│ 1353009 ┆ 10000046051 ┆ 2 ┆ STUDER ┆ AGNES │\n", "│ 1623173 ┆ 10000046051 ┆ 2 ┆ JURION ┆ AGNES │\n", "│ 270462 ┆ 10000101518 ┆ 2 ┆ BARREYRE ┆ SANDRINE │\n", "│ … ┆ … ┆ … ┆ … ┆ … │\n", "│ 1619731 ┆ 10110987236 ┆ 2 ┆ ROGIER ┆ MATHILDE │\n", "│ 808810 ┆ 10111077417 ┆ 2 ┆ DOUVIER ┆ FRANCETTE │\n", "│ 2161999 ┆ 10111077417 ┆ 2 ┆ D'ELLOY ┆ FRANCETTE │\n", "│ 538415 ┆ 10111110721 ┆ 2 ┆ ROCHEPEAU ┆ Nadège │\n", "│ 2162425 ┆ 10111110721 ┆ 2 ┆ BARREAU ┆ Nadège │\n", "└─────────┴────────────────┴───────┴────────────────┴───────────────────┘" ], "text/html": [ "
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indexIdentifiant PPCountNom d'exercicePrénom d'exercice
u32stru32strstr
1352933"10000034180"2"DUWAT-GEORGES""GHISLAINE"
1352934"10000034180"2"GEORGES""GHISLAINE"
1353009"10000046051"2"STUDER""AGNES"
1623173"10000046051"2"JURION""AGNES"
270462"10000101518"2"BARREYRE""SANDRINE"
……………
1619731"10110987236"2"ROGIER""MATHILDE"
808810"10111077417"2"DOUVIER""FRANCETTE"
2161999"10111077417"2"D'ELLOY""FRANCETTE"
538415"10111110721"2"ROCHEPEAU""Nadège"
2162425"10111110721"2"BARREAU""Nadège"
" ] }, "execution_count": 60, "metadata": {}, "output_type": "execute_result" } ], "execution_count": 60 }, { "metadata": { "ExecuteTime": { "end_time": "2025-08-19T22:45:57.433036Z", "start_time": "2025-08-19T22:45:57.417970Z" } }, "cell_type": "code", "source": [ "df2.write_csv(f\"{folder}{output_file}-Names_Variations_Insensitive{output_extension}\",\n", " separator='|',\n", " quote_style=\"never\",\n", " line_terminator='\\n')\n" ], "id": "18aab4499103491a", "outputs": [], "execution_count": 61 }, { "metadata": { "ExecuteTime": { "end_time": "2025-08-19T22:46:02.915526Z", "start_time": "2025-08-19T22:45:57.710258Z" } }, "cell_type": "code", "source": [ "%%time\n", "df3 = (\n", " df\n", " .with_columns(\n", " (\n", " (pd.col(\"Nom d'exercice\") + \" \" + pd.col(\"Prénom d'exercice\"))\n", " .str.to_lowercase()\n", " # Normalisation des accents\n", " .str.replace_all(\"à|á|â|ã|ä|å\", \"a\", literal=False)\n", " .str.replace_all(\"ç\", \"c\", literal=False)\n", " .str.replace_all(\"è|é|ê|ë\", \"e\", literal=False)\n", " .str.replace_all(\"ì|í|î|ï\", \"i\", literal=False)\n", " .str.replace_all(\"ñ\", \"n\", literal=False)\n", " .str.replace_all(\"ò|ó|ô|õ|ö\", \"o\", literal=False)\n", " .str.replace_all(\"ù|ú|û|ü\", \"u\", literal=False)\n", " .str.replace_all(\"ý|ÿ\", \"y\", literal=False)\n", " # Remplacement des caractères non-alphanumériques et nettoyage des espaces\n", " .str.replace_all(r\"[^a-z0-9\\\\s]\", \" \", literal=False)\n", " .str.replace_all(r\"\\\\s+\", \" \", literal=False)\n", " .str.strip_chars()\n", " ).alias(\"Nom_Prénom_Nettoyé\")\n", " )\n", " .with_columns(\n", " pd.col(\"Nom_Prénom_Nettoyé\").n_unique().over(\"Identifiant PP\").alias(\"Count\")\n", " )\n", " .filter(pd.col(\"Count\") > 1)\n", " .sort([\"Identifiant PP\", \"index\"])\n", " .select(\"index\", \"Identifiant PP\", \"Count\", \"Nom d'exercice\", \"Prénom d'exercice\", \"Nom_Prénom_Nettoyé\")\n", ")\n", "df3\n" ], "id": "8e4e3e22f16fea1c", "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "CPU times: total: 8.59 s\n", "Wall time: 5.19 s\n" ] }, { "data": { "text/plain": [ "shape: (3_584, 6)\n", "┌─────────┬────────────────┬───────┬────────────────┬───────────────────┬─────────────────────────┐\n", "│ index ┆ Identifiant PP ┆ Count ┆ Nom d'exercice ┆ Prénom d'exercice ┆ Nom_Prénom_Nettoyé │\n", "│ --- ┆ --- ┆ --- ┆ --- ┆ --- ┆ --- │\n", "│ u32 ┆ str ┆ u32 ┆ str ┆ str ┆ str │\n", "╞═════════╪════════════════╪═══════╪════════════════╪═══════════════════╪═════════════════════════╡\n", "│ 1352933 ┆ 10000034180 ┆ 2 ┆ DUWAT-GEORGES ┆ GHISLAINE ┆ duwat georges ghislaine │\n", "│ 1352934 ┆ 10000034180 ┆ 2 ┆ GEORGES ┆ GHISLAINE ┆ georges ghislaine │\n", "│ 1353009 ┆ 10000046051 ┆ 2 ┆ STUDER ┆ AGNES ┆ studer agnes │\n", "│ 1623173 ┆ 10000046051 ┆ 2 ┆ JURION ┆ AGNES ┆ jurion agnes │\n", "│ 270462 ┆ 10000101518 ┆ 2 ┆ BARREYRE ┆ SANDRINE ┆ barreyre sandrine │\n", "│ … ┆ … ┆ … ┆ … ┆ … ┆ … │\n", "│ 1619731 ┆ 10110987236 ┆ 2 ┆ ROGIER ┆ MATHILDE ┆ rogier mathilde │\n", "│ 808810 ┆ 10111077417 ┆ 2 ┆ DOUVIER ┆ FRANCETTE ┆ douvier francette │\n", "│ 2161999 ┆ 10111077417 ┆ 2 ┆ D'ELLOY ┆ FRANCETTE ┆ d elloy francette │\n", "│ 538415 ┆ 10111110721 ┆ 2 ┆ ROCHEPEAU ┆ Nadège ┆ rochepeau nadege │\n", "│ 2162425 ┆ 10111110721 ┆ 2 ┆ BARREAU ┆ Nadège ┆ barreau nadege │\n", "└─────────┴────────────────┴───────┴────────────────┴───────────────────┴─────────────────────────┘" ], "text/html": [ "
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indexIdentifiant PPCountNom d'exercicePrénom d'exerciceNom_Prénom_Nettoyé
u32stru32strstrstr
1352933"10000034180"2"DUWAT-GEORGES""GHISLAINE""duwat georges ghislaine"
1352934"10000034180"2"GEORGES""GHISLAINE""georges ghislaine"
1353009"10000046051"2"STUDER""AGNES""studer agnes"
1623173"10000046051"2"JURION""AGNES""jurion agnes"
270462"10000101518"2"BARREYRE""SANDRINE""barreyre sandrine"
………………
1619731"10110987236"2"ROGIER""MATHILDE""rogier mathilde"
808810"10111077417"2"DOUVIER""FRANCETTE""douvier francette"
2161999"10111077417"2"D'ELLOY""FRANCETTE""d elloy francette"
538415"10111110721"2"ROCHEPEAU""Nadège""rochepeau nadege"
2162425"10111110721"2"BARREAU""Nadège""barreau nadege"
" ] }, "execution_count": 62, "metadata": {}, "output_type": "execute_result" } ], "execution_count": 62 }, { "metadata": { "ExecuteTime": { "end_time": "2025-08-19T22:46:03.290835Z", "start_time": "2025-08-19T22:46:03.280259Z" } }, "cell_type": "code", "source": [ "df3.write_csv(f\"{folder}{output_file}-Names_Variations_Normalized{output_extension}\",\n", " separator='|',\n", " quote_style=\"never\",\n", " line_terminator='\\n')\n" ], "id": "aab2ae2e91a7190c", "outputs": [], "execution_count": 63 }, { "metadata": { "ExecuteTime": { "end_time": "2025-08-19T22:46:07.814563Z", "start_time": "2025-08-19T22:46:03.493442Z" } }, "cell_type": "code", "source": [ "%%time\n", "all_columns = df.columns\n", "start_col = 'Raison sociale site'\n", "end_col = \"Libellé secteur d'activité\"\n", "start_col_index = all_columns.index(start_col)\n", "end_col_index = all_columns.index(end_col)\n", "site_info_cols = all_columns[start_col_index : end_col_index + 1]\n", "if \"Autorité d'enregistrement\" in site_info_cols:\n", " site_info_cols.remove(\"Autorité d'enregistrement\")\n", "\n", "df4 = (\n", " df\n", " .filter(pd.col('Numéro FINESS site').is_null())\n", " .filter(\n", " pd.col('Numéro SIRET site').is_not_null() | pd.col('Identifiant technique de la structure').is_not_null()\n", " )\n", " .with_columns(\n", " pd.coalesce(\n", " pd.col('Numéro SIRET site'),\n", " pd.col('Identifiant technique de la structure')\n", " ).alias('Site_Identifier')\n", " )\n", " .with_columns(\n", " pd.struct(site_info_cols).n_unique().over(['Identifiant PP', 'Site_Identifier']).alias('Site_Info_Variations_Count')\n", " )\n", " .filter(pd.col('Site_Info_Variations_Count') > 1)\n", " .sort(['Identifiant PP', 'Site_Identifier', 'index'])\n", " .select(['index', \n", " 'Identifiant PP', \n", " 'Site_Identifier', \n", " 'Numéro SIRET site', \n", " 'Identifiant technique de la structure', \n", " 'Site_Info_Variations_Count'] + site_info_cols)\n", ")\n", "df4" ], "id": "3c2f2bb5fc3c2a5e", "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "CPU times: total: 18.1 s\n", "Wall time: 4.29 s\n" ] }, { "data": { "text/plain": [ "shape: (98, 31)\n", "┌─────────┬────────────┬───────────┬───────────┬───┬───────────┬───────────┬───────────┬───────────┐\n", "│ index ┆ Identifian ┆ Site_Iden ┆ Numéro ┆ … ┆ Libellé ┆ Ancien ┆ Code ┆ Libellé │\n", "│ --- ┆ t PP ┆ tifier ┆ SIRET ┆ ┆ Départeme ┆ identifia ┆ secteur ┆ secteur │\n", "│ u32 ┆ --- ┆ --- ┆ site ┆ ┆ nt (struc ┆ nt de la ┆ d'activit ┆ d'activit │\n", "│ ┆ str ┆ str ┆ --- ┆ ┆ ture… ┆ struc… ┆ é ┆ é │\n", "│ ┆ ┆ ┆ str ┆ ┆ --- ┆ --- ┆ --- ┆ --- │\n", "│ ┆ ┆ ┆ ┆ ┆ str ┆ str ┆ str ┆ str │\n", "╞═════════╪════════════╪═══════════╪═══════════╪═══╪═══════════╪═══════════╪═══════════╪═══════════╡\n", "│ 270597 ┆ 1000011638 ┆ 309802205 ┆ 309802205 ┆ … ┆ null ┆ 330980220 ┆ SA28 ┆ Asso et │\n", "│ ┆ 3 ┆ 00505 ┆ 00505 ┆ ┆ ┆ 500505 ┆ ┆ orga huma │\n", "│ ┆ ┆ ┆ ┆ ┆ ┆ ┆ ┆ nitaire │\n", "│ 1353470 ┆ 1000011638 ┆ 309802205 ┆ 309802205 ┆ … ┆ null ┆ 330980220 ┆ SA28 ┆ Asso et │\n", "│ ┆ 3 ┆ 00505 ┆ 00505 ┆ ┆ ┆ 500505 ┆ ┆ orga huma │\n", "│ ┆ ┆ ┆ ┆ ┆ ┆ ┆ ┆ nitaire │\n", "│ 4214 ┆ 1000053630 ┆ 180035024 ┆ 180035024 ┆ … ┆ null ┆ 318003502 ┆ SA24 ┆ Organisme │\n", "│ ┆ 9 ┆ 02369 ┆ 02369 ┆ ┆ ┆ 402369 ┆ ┆ de │\n", "│ ┆ ┆ ┆ ┆ ┆ ┆ ┆ ┆ Sécurité │\n", "│ ┆ ┆ ┆ ┆ ┆ ┆ ┆ ┆ Sociale │\n", "│ 1627221 ┆ 1000053630 ┆ 180035024 ┆ 180035024 ┆ … ┆ null ┆ 318003502 ┆ SA24 ┆ Organisme │\n", "│ ┆ 9 ┆ 02369 ┆ 02369 ┆ ┆ ┆ 402369 ┆ ┆ de │\n", "│ ┆ ┆ ┆ ┆ ┆ ┆ ┆ ┆ Sécurité │\n", "│ ┆ ┆ ┆ ┆ ┆ ┆ ┆ ┆ Sociale │\n", "│ 816501 ┆ 1000066718 ┆ 180035024 ┆ 180035024 ┆ … ┆ null ┆ 318003502 ┆ SA24 ┆ Organisme │\n", "│ ┆ 7 ┆ 02369 ┆ 02369 ┆ ┆ ┆ 402369 ┆ ┆ de │\n", "│ ┆ ┆ ┆ ┆ ┆ ┆ ┆ ┆ Sécurité │\n", "│ ┆ ┆ ┆ ┆ ┆ ┆ ┆ ┆ Sociale │\n", "│ … ┆ … ┆ … ┆ … ┆ … ┆ … ┆ … ┆ … ┆ … │\n", "│ 532248 ┆ 1011059216 ┆ 880859350 ┆ 880859350 ┆ … ┆ null ┆ 388085935 ┆ SA32 ┆ Fab. │\n", "│ ┆ 8 ┆ 00014 ┆ 00014 ┆ ┆ ┆ 000014 ┆ ┆ Exploit. │\n", "│ ┆ ┆ ┆ ┆ ┆ ┆ ┆ ┆ Import. │\n", "│ ┆ ┆ ┆ ┆ ┆ ┆ ┆ ┆ Méd. DM │\n", "│ 1344743 ┆ 1011059749 ┆ 130008006 ┆ 130008006 ┆ … ┆ null ┆ 313000800 ┆ SA24 ┆ Organisme │\n", "│ ┆ 8 ┆ 00038 ┆ 00038 ┆ ┆ ┆ 600038 ┆ ┆ de │\n", "│ ┆ ┆ ┆ ┆ ┆ ┆ ┆ ┆ Sécurité │\n", "│ ┆ ┆ ┆ ┆ ┆ ┆ ┆ ┆ Sociale │\n", "│ 2156205 ┆ 1011059749 ┆ 130008006 ┆ 130008006 ┆ … ┆ null ┆ 313000800 ┆ SA24 ┆ Organisme │\n", "│ ┆ 8 ┆ 00038 ┆ 00038 ┆ ┆ ┆ 600038 ┆ ┆ de │\n", "│ ┆ ┆ ┆ ┆ ┆ ┆ ┆ ┆ Sécurité │\n", "│ ┆ ┆ ┆ ┆ ┆ ┆ ┆ ┆ Sociale │\n", "│ 1618789 ┆ 1011091034 ┆ 180035024 ┆ 180035024 ┆ … ┆ null ┆ 318003502 ┆ SA24 ┆ Organisme │\n", "│ ┆ 5 ┆ 01098 ┆ 01098 ┆ ┆ ┆ 401098 ┆ ┆ de │\n", "│ ┆ ┆ ┆ ┆ ┆ ┆ ┆ ┆ Sécurité │\n", "│ ┆ ┆ ┆ ┆ ┆ ┆ ┆ ┆ Sociale │\n", "│ 1889827 ┆ 1011091034 ┆ 180035024 ┆ 180035024 ┆ … ┆ null ┆ 318003502 ┆ SA24 ┆ Organisme │\n", "│ ┆ 5 ┆ 01098 ┆ 01098 ┆ ┆ ┆ 401098 ┆ ┆ de │\n", "│ ┆ ┆ ┆ ┆ ┆ ┆ ┆ ┆ Sécurité │\n", "│ ┆ ┆ ┆ ┆ ┆ ┆ ┆ ┆ Sociale │\n", "└─────────┴────────────┴───────────┴───────────┴───┴───────────┴───────────┴───────────┴───────────┘" ], "text/html": [ "
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…………………………………………………………………………………
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" ] }, "execution_count": 64, "metadata": {}, "output_type": "execute_result" } ], "execution_count": 64 }, { "metadata": { "ExecuteTime": { "end_time": "2025-08-19T22:46:07.974271Z", "start_time": "2025-08-19T22:46:07.943280Z" } }, "cell_type": "code", "source": [ "df4.write_csv(f\"{folder}{output_file}-Sites_Variations{output_extension}\",\n", " separator='|',\n", " quote_style=\"never\",\n", " line_terminator='\\n')\n" ], "id": "c1fd01e419f4ccc9", "outputs": [], "execution_count": 65 }, { "metadata": { "ExecuteTime": { "end_time": "2025-08-19T22:46:12.781888Z", "start_time": "2025-08-19T22:46:08.306776Z" } }, "cell_type": "code", "source": [ "%%time\n", "df5 = (\n", " df\n", " .filter(pd.col('Numéro FINESS site').is_null())\n", " .filter(\n", " pd.col('Numéro SIRET site').is_not_null() | pd.col('Identifiant technique de la structure').is_not_null()\n", " )\n", " .with_columns(\n", " pd.coalesce(\n", " pd.col('Numéro SIRET site'),\n", " pd.col('Identifiant technique de la structure')\n", " ).alias('Site_Identifier')\n", " )\n", " .with_columns(\n", " pd.struct(site_info_cols).n_unique().over(['Site_Identifier']).alias('Site_Info_Variations_Count')\n", " )\n", " .filter(pd.col('Site_Info_Variations_Count') > 1)\n", " .sort(['Site_Identifier', 'index'])\n", " .select(['index', \n", " 'Identifiant PP', \n", " 'Site_Identifier', \n", " 'Numéro SIRET site', \n", " 'Identifiant technique de la structure', \n", " 'Site_Info_Variations_Count'] + site_info_cols)\n", ")\n", "df5\n" ], "id": "7838523925fc85ee", "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "CPU times: total: 19.8 s\n", "Wall time: 4.43 s\n" ] }, { "data": { "text/plain": [ "shape: (4_190, 31)\n", "┌─────────┬────────────┬───────────┬───────────┬───┬───────────┬───────────┬───────────┬───────────┐\n", "│ index ┆ Identifian ┆ Site_Iden ┆ Numéro ┆ … ┆ Libellé ┆ Ancien ┆ Code ┆ Libellé │\n", "│ --- ┆ t PP ┆ tifier ┆ SIRET ┆ ┆ Départeme ┆ identifia ┆ secteur ┆ secteur │\n", "│ u32 ┆ --- ┆ --- ┆ site ┆ ┆ nt (struc ┆ nt de la ┆ d'activit ┆ d'activit │\n", "│ ┆ str ┆ str ┆ --- ┆ ┆ ture… ┆ struc… ┆ é ┆ é │\n", "│ ┆ ┆ ┆ str ┆ ┆ --- ┆ --- ┆ --- ┆ --- │\n", "│ ┆ ┆ ┆ ┆ ┆ str ┆ str ┆ str ┆ str │\n", "╞═════════╪════════════╪═══════════╪═══════════╪═══╪═══════════╪═══════════╪═══════════╪═══════════╡\n", "│ 127508 ┆ 1010000229 ┆ 056501711 ┆ 056501711 ┆ … ┆ null ┆ 305650171 ┆ SA32 ┆ Fab. │\n", "│ ┆ 3 ┆ 00115 ┆ 00115 ┆ ┆ ┆ 100115 ┆ ┆ Exploit. │\n", "│ ┆ ┆ ┆ ┆ ┆ ┆ ┆ ┆ Import. │\n", "│ ┆ ┆ ┆ ┆ ┆ ┆ ┆ ┆ Méd. DM │\n", "│ 285182 ┆ 1000180676 ┆ 056501711 ┆ 056501711 ┆ … ┆ null ┆ 305650171 ┆ SA32 ┆ Fab. │\n", "│ ┆ 8 ┆ 00115 ┆ 00115 ┆ ┆ ┆ 100115 ┆ ┆ Exploit. │\n", "│ ┆ ┆ ┆ ┆ ┆ ┆ ┆ ┆ Import. │\n", "│ ┆ ┆ ┆ ┆ ┆ ┆ ┆ ┆ Méd. DM │\n", "│ 466100 ┆ 1010480041 ┆ 056501711 ┆ 056501711 ┆ … ┆ null ┆ 305650171 ┆ SA32 ┆ Fab. │\n", "│ ┆ 1 ┆ 00115 ┆ 00115 ┆ ┆ ┆ 100115 ┆ ┆ Exploit. │\n", "│ ┆ ┆ ┆ ┆ ┆ ┆ ┆ ┆ Import. │\n", "│ ┆ ┆ ┆ ┆ ┆ ┆ ┆ ┆ Méd. DM │\n", "│ 722626 ┆ 1010368715 ┆ 056501711 ┆ 056501711 ┆ … ┆ null ┆ 305650171 ┆ SA32 ┆ Fab. │\n", "│ ┆ 7 ┆ 00115 ┆ 00115 ┆ ┆ ┆ 100115 ┆ ┆ Exploit. │\n", "│ ┆ ┆ ┆ ┆ ┆ ┆ ┆ ┆ Import. │\n", "│ ┆ ┆ ┆ ┆ ┆ ┆ ┆ ┆ Méd. DM │\n", "│ 826390 ┆ 1000179659 ┆ 056501711 ┆ 056501711 ┆ … ┆ null ┆ 305650171 ┆ SA32 ┆ Fab. │\n", "│ ┆ 7 ┆ 00115 ┆ 00115 ┆ ┆ ┆ 100115 ┆ ┆ Exploit. │\n", "│ ┆ ┆ ┆ ┆ ┆ ┆ ┆ ┆ Import. │\n", "│ ┆ ┆ ┆ ┆ ┆ ┆ ┆ ┆ Méd. DM │\n", "│ … ┆ … ┆ … ┆ … ┆ … ┆ … ┆ … ┆ … ┆ … │\n", "│ 793647 ┆ 1010986940 ┆ 984526194 ┆ 984526194 ┆ … ┆ null ┆ 398452619 ┆ SA09 ┆ Exercice │\n", "│ ┆ 3 ┆ 00019 ┆ 00019 ┆ ┆ ┆ 400019 ┆ ┆ en │\n", "│ ┆ ┆ ┆ ┆ ┆ ┆ ┆ ┆ Société │\n", "│ 1500531 ┆ 1010129326 ┆ 984526194 ┆ 984526194 ┆ … ┆ null ┆ 398452619 ┆ SA09 ┆ Exercice │\n", "│ ┆ 3 ┆ 00019 ┆ 00019 ┆ ┆ ┆ 400019 ┆ ┆ en │\n", "│ ┆ ┆ ┆ ┆ ┆ ┆ ┆ ┆ Société │\n", "│ 1852947 ┆ 1010801513 ┆ 984526194 ┆ 984526194 ┆ … ┆ null ┆ 398452619 ┆ SA09 ┆ Exercice │\n", "│ ┆ 1 ┆ 00019 ┆ 00019 ┆ ┆ ┆ 400019 ┆ ┆ en │\n", "│ ┆ ┆ ┆ ┆ ┆ ┆ ┆ ┆ Société │\n", "│ 1571945 ┆ 1010723524 ┆ 998823504 ┆ 998823504 ┆ … ┆ null ┆ 399882350 ┆ SA11 ┆ Entrepris │\n", "│ ┆ 3 ┆ 30834 ┆ 30834 ┆ ┆ ┆ 430834 ┆ ┆ e │\n", "│ ┆ ┆ ┆ ┆ ┆ ┆ ┆ ┆ d'intérim │\n", "│ 1590681 ┆ 1010869303 ┆ 998823504 ┆ 998823504 ┆ … ┆ null ┆ 399882350 ┆ SA11 ┆ Entrepris │\n", "│ ┆ 6 ┆ 30834 ┆ 30834 ┆ ┆ ┆ 430834 ┆ ┆ e │\n", "│ ┆ ┆ ┆ ┆ ┆ ┆ ┆ ┆ d'intérim │\n", "└─────────┴────────────┴───────────┴───────────┴───┴───────────┴───────────┴───────────┴───────────┘" ], "text/html": [ "
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" ] }, "execution_count": 66, "metadata": {}, "output_type": "execute_result" } ], "execution_count": 66 }, { "metadata": { "ExecuteTime": { "end_time": "2025-08-19T22:46:13.670911Z", "start_time": "2025-08-19T22:46:13.655386Z" } }, "cell_type": "code", "source": [ "df5.write_csv(f\"{folder}{output_file}-Sites_Variations_Global{output_extension}\",\n", " separator='|',\n", " quote_style=\"never\",\n", " line_terminator='\\n')\n" ], "id": "416184f32f973a71", "outputs": [], "execution_count": 67 }, { "metadata": { "ExecuteTime": { "end_time": "2025-08-19T22:46:17.023811Z", "start_time": "2025-08-19T22:46:14.032470Z" } }, "cell_type": "code", "source": [ "%%time\n", "df6 = (\n", " df\n", " .with_columns(\n", " pd.coalesce(\n", " pd.col('Numéro FINESS site'),\n", " pd.col('Numéro SIRET site'),\n", " pd.col('Identifiant technique de la structure')\n", " ).alias('Site_Identifier_Global')\n", " )\n", " .filter(pd.col('Site_Identifier_Global').is_not_null())\n", " .with_columns(\n", " pd.struct([\n", " \"Libellé profession\",\n", " \"Libellé savoir-faire\",\n", " \"Libellé mode exercice\",\n", " \"Libellé rôle\",\n", " \"Libellé genre activité\"\n", " ]).n_unique().over([\"Identifiant PP\", \"Site_Identifier_Global\"]).alias(\"Activites_Count\")\n", " )\n", " .filter(pd.col(\"Activites_Count\") > 1)\n", " .sort([\"Identifiant PP\", \"Site_Identifier_Global\", \"index\"])\n", " .select([\n", " \"index\",\n", " \"Identifiant PP\",\n", " \"Site_Identifier_Global\",\n", " \"Numéro FINESS site\",\n", " \"Numéro SIRET site\",\n", " \"Identifiant technique de la structure\",\n", " \"Activites_Count\",\n", " \"Libellé profession\",\n", " \"Libellé savoir-faire\",\n", " \"Libellé mode exercice\",\n", " \"Libellé rôle\",\n", " \"Libellé genre activité\"\n", " ])\n", ")\n", "df6\n" ], "id": "84549f83ce5e92f", "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "CPU times: total: 11 s\n", "Wall time: 2.96 s\n" ] }, { "data": { "text/plain": [ "shape: (25_389, 12)\n", "┌─────────┬────────────┬───────────┬───────────┬───┬───────────┬───────────┬───────────┬───────────┐\n", "│ index ┆ Identifian ┆ Site_Iden ┆ Numéro ┆ … ┆ Libellé ┆ Libellé ┆ Libellé ┆ Libellé │\n", "│ --- ┆ t PP ┆ tifier_Gl ┆ FINESS ┆ ┆ savoir-fa ┆ mode ┆ rôle ┆ genre │\n", "│ u32 ┆ --- ┆ obal ┆ site ┆ ┆ ire ┆ exercice ┆ --- ┆ activité │\n", "│ ┆ str ┆ --- ┆ --- ┆ ┆ --- ┆ --- ┆ str ┆ --- │\n", "│ ┆ ┆ str ┆ str ┆ ┆ str ┆ str ┆ ┆ str │\n", "╞═════════╪════════════╪═══════════╪═══════════╪═══╪═══════════╪═══════════╪═══════════╪═══════════╡\n", "│ 1352840 ┆ 1000001797 ┆ 130786445 ┆ 130786445 ┆ … ┆ null ┆ Salarié ┆ Salarié ┆ Activité │\n", "│ ┆ 9 ┆ ┆ ┆ ┆ ┆ ┆ en poste ┆ standard │\n", "│ ┆ ┆ ┆ ┆ ┆ ┆ ┆ fixe ┆ de soin │\n", "│ ┆ ┆ ┆ ┆ ┆ ┆ ┆ ┆ ou d… │\n", "│ 1893982 ┆ 1000001797 ┆ 130786445 ┆ 130786445 ┆ … ┆ null ┆ Salarié ┆ Fonction ┆ Activité │\n", "│ ┆ 9 ┆ ┆ ┆ ┆ ┆ ┆ non ┆ standard │\n", "│ ┆ ┆ ┆ ┆ ┆ ┆ ┆ définie ┆ de soin │\n", "│ ┆ ┆ ┆ ┆ ┆ ┆ ┆ ┆ ou d… │\n", "│ 270269 ┆ 1000007028 ┆ 397840901 ┆ null ┆ … ┆ null ┆ Salarié ┆ Salarié ┆ Activité │\n", "│ ┆ 3 ┆ 00011 ┆ ┆ ┆ ┆ ┆ en poste ┆ standard │\n", "│ ┆ ┆ ┆ ┆ ┆ ┆ ┆ fixe ┆ de soin │\n", "│ ┆ ┆ ┆ ┆ ┆ ┆ ┆ ┆ ou d… │\n", "│ 811380 ┆ 1000007028 ┆ 397840901 ┆ null ┆ … ┆ null ┆ Salarié ┆ Fonction ┆ Activité │\n", "│ ┆ 3 ┆ 00011 ┆ ┆ ┆ ┆ ┆ non ┆ non │\n", "│ ┆ ┆ ┆ ┆ ┆ ┆ ┆ définie ┆ soignante │\n", "│ 540586 ┆ 1000008684 ┆ 860012228 ┆ 860012228 ┆ … ┆ null ┆ Salarié ┆ Salarié ┆ Activité │\n", "│ ┆ 2 ┆ ┆ ┆ ┆ ┆ ┆ en poste ┆ standard │\n", "│ ┆ ┆ ┆ ┆ ┆ ┆ ┆ fixe ┆ de soin │\n", "│ ┆ ┆ ┆ ┆ ┆ ┆ ┆ ┆ ou d… │\n", "│ … ┆ … ┆ … ┆ … ┆ … ┆ … ┆ … ┆ … ┆ … │\n", "│ 538572 ┆ 1011112354 ┆ 970400016 ┆ 970400016 ┆ … ┆ null ┆ Salarié ┆ Salarié ┆ Activité │\n", "│ ┆ 2 ┆ ┆ ┆ ┆ ┆ ┆ en poste ┆ standard │\n", "│ ┆ ┆ ┆ ┆ ┆ ┆ ┆ fixe ┆ de soin │\n", "│ ┆ ┆ ┆ ┆ ┆ ┆ ┆ ┆ ou d… │\n", "│ 538882 ┆ 1011125299 ┆ 250006954 ┆ 250006954 ┆ … ┆ null ┆ Salarié ┆ Salarié ┆ Activité │\n", "│ ┆ 4 ┆ ┆ ┆ ┆ ┆ ┆ en poste ┆ standard │\n", "│ ┆ ┆ ┆ ┆ ┆ ┆ ┆ fixe ┆ de soin │\n", "│ ┆ ┆ ┆ ┆ ┆ ┆ ┆ ┆ ou d… │\n", "│ 2162932 ┆ 1011125299 ┆ 250006954 ┆ 250006954 ┆ … ┆ null ┆ Salarié ┆ Salarié ┆ Activité │\n", "│ ┆ 4 ┆ ┆ ┆ ┆ ┆ ┆ en poste ┆ standard │\n", "│ ┆ ┆ ┆ ┆ ┆ ┆ ┆ fixe ┆ de soin │\n", "│ ┆ ┆ ┆ ┆ ┆ ┆ ┆ ┆ ou d… │\n", "│ 2163446 ┆ 1011129312 ┆ 490540218 ┆ 490540218 ┆ … ┆ null ┆ Salarié ┆ Salarié ┆ Activité │\n", "│ ┆ 1 ┆ ┆ ┆ ┆ ┆ ┆ en poste ┆ standard │\n", "│ ┆ ┆ ┆ ┆ ┆ ┆ ┆ fixe ┆ de soin │\n", "│ ┆ ┆ ┆ ┆ ┆ ┆ ┆ ┆ ou d… │\n", "│ 2163447 ┆ 1011129312 ┆ 490540218 ┆ 490540218 ┆ … ┆ null ┆ Salarié ┆ Cadre de ┆ Activité │\n", "│ ┆ 1 ┆ ┆ ┆ ┆ ┆ ┆ santé de ┆ non │\n", "│ ┆ ┆ ┆ ┆ ┆ ┆ ┆ proximité ┆ soignante │\n", "└─────────┴────────────┴───────────┴───────────┴───┴───────────┴───────────┴───────────┴───────────┘" ], "text/html": [ "
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2162932"10111252994""250006954""250006954""26250176000264""F250006954"2"Psychologue"null"Salarié""Salarié en poste fixe""Activité standard de soin ou d…
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2163447"10111293121""490540218""490540218""77568873211159""F490540218"2"Infirmier"null"Salarié""Cadre de santé de proximité""Activité non soignante"
" ] }, "execution_count": 68, "metadata": {}, "output_type": "execute_result" } ], "execution_count": 68 }, { "metadata": { "ExecuteTime": { "end_time": "2025-08-19T22:46:17.851427Z", "start_time": "2025-08-19T22:46:17.796168Z" } }, "cell_type": "code", "source": [ "df6.write_csv(f\"{folder}{output_file}-Multiple_Activities_Per_Site{output_extension}\",\n", " separator='|',\n", " quote_style=\"never\",\n", " line_terminator='\\n')\n" ], "id": "6f7025a7c08b54b4", "outputs": [], "execution_count": 69 }, { "metadata": { "ExecuteTime": { "end_time": "2025-08-19T22:46:19.535052Z", "start_time": "2025-08-19T22:46:18.015194Z" } }, "cell_type": "code", "source": [ "%%time\n", "df7 = (\n", " df\n", " .with_columns(\n", " pd.col(\"Libellé profession\").n_unique().over(\"Identifiant PP\").alias(\"Profession_Count\")\n", " )\n", " .filter(pd.col(\"Profession_Count\") > 1)\n", " .sort([\"Identifiant PP\", \"index\"])\n", " .select([\n", " \"index\",\n", " \"Identifiant PP\",\n", " \"Profession_Count\",\n", " \"Libellé profession\",\n", " \"Libellé savoir-faire\"\n", " ])\n", ")\n", "df7\n" ], "id": "b18d9ba71ba63d9d", "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "CPU times: total: 5.33 s\n", "Wall time: 1.5 s\n" ] }, { "data": { "text/plain": [ "shape: (88_845, 5)\n", "┌─────────┬────────────────┬──────────────────┬────────────────────┬──────────────────────┐\n", "│ index ┆ Identifiant PP ┆ Profession_Count ┆ Libellé profession ┆ Libellé savoir-faire │\n", "│ --- ┆ --- ┆ --- ┆ --- ┆ --- │\n", "│ u32 ┆ str ┆ u32 ┆ str ┆ str │\n", "╞═════════╪════════════════╪══════════════════╪════════════════════╪══════════════════════╡\n", "│ 74 ┆ 10000013150 ┆ 2 ┆ Médecin ┆ Psychiatrie │\n", "│ 269913 ┆ 10000013150 ┆ 2 ┆ Psychothérapeute ┆ null │\n", "│ 1352840 ┆ 10000017979 ┆ 2 ┆ Ostéopathe ┆ null │\n", "│ 1893982 ┆ 10000017979 ┆ 2 ┆ Sage-Femme ┆ null │\n", "│ 811125 ┆ 10000029966 ┆ 2 ┆ Sage-Femme ┆ null │\n", "│ … ┆ … ┆ … ┆ … ┆ … │\n", "│ 1352396 ┆ 10111320304 ┆ 2 ┆ Psychothérapeute ┆ null │\n", "│ 269545 ┆ 10111320379 ┆ 2 ┆ Psychothérapeute ┆ null │\n", "│ 810601 ┆ 10111320379 ┆ 2 ┆ Psychologue ┆ null │\n", "│ 539711 ┆ 10111321468 ┆ 2 ┆ Psychothérapeute ┆ null │\n", "│ 1352414 ┆ 10111321468 ┆ 2 ┆ Psychologue ┆ null │\n", "└─────────┴────────────────┴──────────────────┴────────────────────┴──────────────────────┘" ], "text/html": [ "
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74"10000013150"2"Médecin""Psychiatrie"
269913"10000013150"2"Psychothérapeute"null
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811125"10000029966"2"Sage-Femme"null
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1352396"10111320304"2"Psychothérapeute"null
269545"10111320379"2"Psychothérapeute"null
810601"10111320379"2"Psychologue"null
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" ] }, "execution_count": 70, "metadata": {}, "output_type": "execute_result" } ], "execution_count": 70 }, { "metadata": { "ExecuteTime": { "end_time": "2025-08-19T22:46:19.893214Z", "start_time": "2025-08-19T22:46:19.851765Z" } }, "cell_type": "code", "source": [ "df7.write_csv(f\"{folder}{output_file}-Multiple_Professions{output_extension}\",\n", " separator='|',\n", " quote_style=\"never\",\n", " line_terminator='\\n')\n" ], "id": "85be468fd3f461d1", "outputs": [], "execution_count": 71 } ], "metadata": { "kernelspec": { "name": "python3", "language": "python", "display_name": "Python 3 (ipykernel)" } }, "nbformat": 4, "nbformat_minor": 5 }