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Supprimer 'cedex_v1.py/cedex_v1.ipynb'

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m_galanth 2 years ago
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      cedex_v1.py/cedex_v1.ipynb

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cedex_v1.py/cedex_v1.ipynb
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{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"id": "218a3acb",
"metadata": {},
"outputs": [],
"source": [
"#Importer les librairies \n",
"import pandas as pd"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "c27a317c",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
" Code Postal / CEDEX Libellé Code INSEE Type de code \\\n",
"0 73350 CHAMPAGNY EN VANOISE 73071 Code Postal \n",
"1 67530 OTTROTT 67368 Code Postal \n",
"2 35190 ST DOMINEUC 35265 Code Postal \n",
"3 39120 PESEUX 39412 Code Postal \n",
"4 39200 LA RIXOUSE 39460 Code Postal \n",
"... ... ... ... ... \n",
"50598 97479 ST DENIS CEDEX 97411 Code CEDEX \n",
"50599 97489 ST DENIS CEDEX 97411 Code CEDEX \n",
"50600 97707 ST DENIS CEDEX 9 97411 Code CEDEX \n",
"50601 97717 ST DENIS CEDEX 9 97411 Code CEDEX \n",
"50602 97751 ST PIERRE CEDEX 97416 Code CEDEX \n",
"\n",
" Nom de la commune Nom du département \\\n",
"0 Champagny-en-Vanoise SAVOIE \n",
"1 Ottrott BAS-RHIN \n",
"2 Saint-Domineuc ILLE-ET-VILAINE \n",
"3 Peseux JURA \n",
"4 La Rixouse JURA \n",
"... ... ... \n",
"50598 Saint-Denis LA REUNION \n",
"50599 Saint-Denis LA REUNION \n",
"50600 Saint-Denis LA REUNION \n",
"50601 Saint-Denis LA REUNION \n",
"50602 Saint-Pierre LA REUNION \n",
"\n",
" NOM EPCI \\\n",
"0 CC Val Vanoise \n",
"1 CC des Portes de Rosheim \n",
"2 CC Bretagne Romantique \n",
"3 CA du Grand Dole \n",
"4 CC Haut-Jura Saint-Claude \n",
"... ... \n",
"50598 CA Intercommunale du Nord de la Réunion (Cinor) \n",
"50599 CA Intercommunale du Nord de la Réunion (Cinor) \n",
"50600 CA Intercommunale du Nord de la Réunion (Cinor) \n",
"50601 CA Intercommunale du Nord de la Réunion (Cinor) \n",
"50602 CA Civis (Communauté Intercommunale des Villes... \n",
"\n",
" Nom de la région \n",
"0 AUVERGNE-RHONE-ALPES \n",
"1 GRAND EST \n",
"2 BRETAGNE \n",
"3 BOURGOGNE-FRANCHE-COMTE \n",
"4 BOURGOGNE-FRANCHE-COMTE \n",
"... ... \n",
"50598 LA REUNION \n",
"50599 LA REUNION \n",
"50600 LA REUNION \n",
"50601 LA REUNION \n",
"50602 LA REUNION \n",
"\n",
"[50603 rows x 8 columns]\n"
]
}
],
"source": [
"#Ouvrir un fichier CSV\n",
"#Ajout d'un séparateur des colonnes \n",
"df = pd.read_csv (r'/Users/marinegalanth/Desktop/inondation_bdd/bd_inondation/cedex.csv',sep = ';')\n",
"print(df)"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "415f6eb1",
"metadata": {},
"outputs": [],
"source": [
"#Renommer les colonnes sélectionnées \n",
"df = df.rename(columns={'Code INSEE': 'codepostal', 'Libellé': 'libelle', 'Code Postal / CEDEX': 'cedex'})"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "abc56e1a",
"metadata": {},
"outputs": [],
"source": [
"df=df[[\"codepostal\",\"libelle\",\"cedex\"]]"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "6b6f3a1c",
"metadata": {},
"outputs": [],
"source": [
"#Créer un dataframe\n",
"df1 = pd.DataFrame(df)"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "ae19dadc",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>codepostal</th>\n",
" <th>libelle</th>\n",
" <th>cedex</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>73071</td>\n",
" <td>CHAMPAGNY EN VANOISE</td>\n",
" <td>73350</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>67368</td>\n",
" <td>OTTROTT</td>\n",
" <td>67530</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>35265</td>\n",
" <td>ST DOMINEUC</td>\n",
" <td>35190</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>39412</td>\n",
" <td>PESEUX</td>\n",
" <td>39120</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>39460</td>\n",
" <td>LA RIXOUSE</td>\n",
" <td>39200</td>\n",
" </tr>\n",
" <tr>\n",
" <th>...</th>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>50598</th>\n",
" <td>97411</td>\n",
" <td>ST DENIS CEDEX</td>\n",
" <td>97479</td>\n",
" </tr>\n",
" <tr>\n",
" <th>50599</th>\n",
" <td>97411</td>\n",
" <td>ST DENIS CEDEX</td>\n",
" <td>97489</td>\n",
" </tr>\n",
" <tr>\n",
" <th>50600</th>\n",
" <td>97411</td>\n",
" <td>ST DENIS CEDEX 9</td>\n",
" <td>97707</td>\n",
" </tr>\n",
" <tr>\n",
" <th>50601</th>\n",
" <td>97411</td>\n",
" <td>ST DENIS CEDEX 9</td>\n",
" <td>97717</td>\n",
" </tr>\n",
" <tr>\n",
" <th>50602</th>\n",
" <td>97416</td>\n",
" <td>ST PIERRE CEDEX</td>\n",
" <td>97751</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>50603 rows × 3 columns</p>\n",
"</div>"
],
"text/plain": [
" codepostal libelle cedex\n",
"0 73071 CHAMPAGNY EN VANOISE 73350\n",
"1 67368 OTTROTT 67530\n",
"2 35265 ST DOMINEUC 35190\n",
"3 39412 PESEUX 39120\n",
"4 39460 LA RIXOUSE 39200\n",
"... ... ... ...\n",
"50598 97411 ST DENIS CEDEX 97479\n",
"50599 97411 ST DENIS CEDEX 97489\n",
"50600 97411 ST DENIS CEDEX 9 97707\n",
"50601 97411 ST DENIS CEDEX 9 97717\n",
"50602 97416 ST PIERRE CEDEX 97751\n",
"\n",
"[50603 rows x 3 columns]"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df1"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "5121a02a",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"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": "3.9.7"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
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