Data_cleaning/Colonnes.py

#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)