import pandas as pd import psycopg2 as psy import getpass data = pd. read_csv (r'vgsales.csv') df = pd.DataFrame(data) df = df.drop_duplicates() co = None try: co = psy. connect(host='londres', database ='dbanperederi', user='anperederi', password = getpass.getpass("Mot de passe:")) curs = co.cursor() curs. execute ('''DROP TABLE IF EXISTS VGSales ;''') curs. execute ('''CREATE TABLE VGSales ( name varchar (160) , platform varchar(160) , year numeric (4), genre varchar (160) , publisher varchar (160) , na_sales numeric (5,2) DEFAULT 0, eu_sales numeric (5,2) DEFAULT 0, jp_sales numeric (5,2) DEFAULT 0, other_sales numeric (5,2) DEFAULT 0, global_sales numeric (5,2) DEFAULT 0 , PRIMARY KEY (name, platform, year) );''') for row in df.itertuples (): curs. execute ('''INSERT INTO VGSales VALUES (%s ,%s ,%s ,%s, %s ,%s ,%s ,%s, %s ,%s);''', (row.Name , row.Platform , row.Year , row.Genre , row.Publisher , row.NA_Sales , row.EU_Sales , row.JP_Sales , row.Other_Sales , row.Global_Sales )) #curs.execute('''UPDATE''') co.commit () curs.close () except (Exception , psy.DatabaseError ) as error : print ( error ) finally : if co is not None: co.close () """ Evolution du script: Ajout de la fonction drop_duplicates() pour supprimer les doublons dans le fichier csv. """