#Importation des données dont nous aurons besoin from typing import List import pandas as pd import numpy as np import requests import csv import re #Afficher les tableaux de données datafram : pd.read_csv("C:\\Users\\luigg\\Data_cleaning\\Table_final.csv") datafram.head(5) #Supprimer les colonnes inutilisées ou non pertinentes to_drop : [''identifiant ','adresse ','commune ','coordonnees_x ','coordonnees_y ','code_epsg ','code_ape ','libelle_ape ','code_eprtr ','libelle_eprtr ','sigleUniteLegale_imp ','activitePrincipaleUniteLegale_imp ','Catégorie_entreprise_imp ','numeroVoieEtablissement_imp ','typeVoieEtablissement_imp ','libelleVoieEtablissement_imp ','libelleCommuneEtablissement_imp ','codeCommuneEtablissement_imp ','adresse_imp ','geo_imp ','com_code_imp ','code_commune_imp ','Code Officiel_EPCI_imp ','Code_Officiel_region_imp ','codenaffix_imp ','Intitule_NAF_imp ','groupe_imp ','division_imp ','nom_etablissement_tndan ','code_operation_eliminatio_valorisation_tndan ','libelle_operation_eliminatio_valorisation_tndan ','code_departement_tndan ','pays_tndan ','pays_pdan ','code_dechet_pdan ','libelle_dechet_pdan ','quantite_pdan ','unite_pdan ','code_operation_eliminatio_valorisation_pndan ','libelle_operation_eliminatio_valorisation_pndan ','code_departement_pndan ','pays_pndan ','code_dechet_pndan ','libelle_dechet_pndan ','quantite_pndan ','unite_pndan ','code_operation_eliminatio_valorisation_tdan ','libelle_operation_eliminatio_valorisation_tdan ','code_departement_tdan ','pays_tdan ','code_dechet_tdan ','libelle_dechet_tdan '] datafram.drop(to_drop, inplace = True, axis = 1) datafram.head(5)