Data_cleaning/Values.py

import pandas as pd
import numpy as np
import csv

#Afficher les tableaux de données
table = pd.read_csv("C:\Users\luigg\Data_cleaning\Table_final.csv")
table.head(5)

#Remplacer les valeurs des lignes

Replace_values = {0: 'Non', 1: 'Oui'}

table = table.replace({"engagement_manifeste_imp
                        ","engagement_data_imp
                        ","prelevements_eaux_souterraines_pre
                        ","prelevements_mer_pre
                        ": replace_values})

table.head(5)