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@@ -28,13 +28,13 @@ def cal_compose_score(score_hour_path, score_24h_path, merge_score_path):
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print(f"score_merge_df shape: {score_merge_df.shape}")
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score_merge_df['score1'] = score_merge_df['24h_score1'] + score_merge_df['hour_score1']
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score_merge_df['score2'] = score_merge_df['24h_score1'] + score_merge_df['hour_score2']
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- score_merge_df['score3'] = score_merge_df['24h_score1'] + score_merge_df['hour_score3']
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+ # score_merge_df['score3'] = score_merge_df['24h_score1'] + score_merge_df['hour_score3']
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score_merge_df['score4'] = score_merge_df['24h_score1'] + score_merge_df['hour_score4']
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score_merge_df['score5'] = score_merge_df['24h_score1'] + score_merge_df['hour_score5']
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# print(score_merge_df)
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print(f"score_merge_df shape: {score_merge_df.shape}")
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score_merge_df.to_csv(merge_score_path, index=False)
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- score_df = score_merge_df[['videoid', 'score1', 'score2', 'score3', 'score4', 'score5']]
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+ score_df = score_merge_df[['videoid', 'score1', 'score2', 'score4', 'score5']]
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print(f"score_df shape: {score_merge_df.shape}")
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return score_df
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