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