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28 lines
1.6 KiB
28 lines
1.6 KiB
1 year ago
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import numpy as np
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import pandas as pd
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if __name__ == '__main__':
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lt = pd.read_csv(r'E:\Data\Research\Projects\matching_dependency\datasets\TMDB-TVDB\tmdb.csv',
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encoding='ISO-8859-1', sep=',')
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rt = pd.read_csv(r'E:\Data\Research\Projects\matching_dependency\datasets\TMDB-TVDB\tvdb.csv',
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encoding='ISO-8859-1', sep=',')
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mapping = pd.read_csv(r'E:\Data\Research\Projects\matching_dependency\datasets\TMDB-TVDB\gt.csv',
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encoding='ISO-8859-1', sep=',')
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# 删除列
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# lt.drop(columns=['numberOfSeasons', 'numberOfEpisodes', 'birthDate', 'last_air_date', 'release_year', 'runtime',
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# 'genre_list', 'origin_country'], inplace=True)
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# rt.drop(columns=['job'], inplace=True)
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# 列名调整
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# rt = rt.rename(columns={'birthDate': 'birthYear', 'release_year': 'startYear',
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# 'last_air_date': 'endYear', 'runtime': 'runtimeMinutes'})
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# 列顺序调整
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# rt = rt[['id', 'title', 'name', 'episodeNumber', 'seasonNumber', 'birthYear', 'endYear', 'startYear', 'genre_list',
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# 'runtimeMinutes']]
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# lt.to_csv(r'E:\Data\Research\Projects\matching_dependency\datasets\TMDB-TVDB\tmdb.csv', sep=',', index=False, header=True, quoting=1)
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# rt.to_csv(r'E:\Data\Research\Projects\matching_dependency\datasets\TMDB-TVDB\tvdb.csv', sep=',', index=False, header=True, quoting=1)
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# mapping.to_csv(r'E:\Data\Research\Projects\matching_dependency\datasets\TMDB-TVDB\gt.csv',
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# sep=',', index=False, header=True, quoting=1)
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print(1)
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