2023-04-19 15:27:00 +02:00
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import pandas
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import os
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from sklearn.model_selection import train_test_split
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CUTOFF = os.environ['CUTOFF']
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# READ DATA
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video_games = pandas.read_csv('Video_Games_Sales_as_at_22_Dec_2016.csv',
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engine='python',
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encoding='ISO-8859-1',
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sep=',')
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# DROP NA FIELDS
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video_games = video_games.dropna()
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# CUT OFF DATASET TO X LINES
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video_games = video_games.sample(CUTOFF)
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X, Y = video_games, video_games
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# SPLIT BETWEEN DEV, TRAINS, AND TEST
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X_train, X_temp, Y_train, Y_temp = train_test_split(X, Y, test_size=0.3, random_state=1)
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X_dev, X_test, Y_dev, Y_test = train_test_split(X_temp, Y_temp, test_size=0.3, random_state=1)
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X_train.to_csv('X_train.csv', index=False)
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X_dev.to_csv('X_dev.csv', index=False)
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X_test.to_csv('X_test.csv', index=False)
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2023-04-18 22:45:32 +02:00
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