import pandas as pd import psycopg2 as psy import getpass co = None try: co = psy.connect (host='londres', database ='dbanperederi', user='anperederi', password = getpass.getpass ("Mot de passe:")) df = pd.read_sql('''SELECT * FROM VGSales ;''', con=co) print(df) except (Exception , psy. DatabaseError ) as error : print ( error ) finally : if co is not None: co. close () #======================RESULTAT======================# """ name platform year genre ... eu_sales jp_sales other_sales global_sales 0 Wii Sports Wii 2006.0 Sports ... 29.02 3.77 8.46 82.74 1 Super Mario Bros. NES 1985.0 Platform ... 3.58 6.81 0.77 40.24 2 Wii Sports Resort Wii 2009.0 Sports ... 11.01 3.28 2.96 33.00 3 Tetris GB 1989.0 Puzzle ... 2.26 4.22 0.58 30.26 4 New Super Mario Bros. DS 2006.0 Platform ... 9.23 6.50 2.90 30.01 .. ... ... ... ... ... ... ... ... ... 16591 K-1 Grand Prix PS 1999.0 Fighting ... 0.01 0.00 0.00 0.02 16592 Carmageddon: Max Damage XOne 2016.0 Action ... 0.01 0.00 0.00 0.02 16593 The Ultimate Battle of the Sexes Wii 2010.0 Misc ... 0.01 0.00 0.00 0.02 16594 Help Wanted: 50 Wacky Jobs (jp sales) Wii 2008.0 Simulation ... 0.01 0.01 0.00 0.02 16595 SCORE International Baja 1000: The Official Game PS2 2008.0 Racing ... 0.00 0.00 0.00 0.00 [16596 rows x 10 columns] """