import numpy as np
import pandas as pd

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