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周度数据处理删除全为空的列

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jingboyitiji 2025-05-28 17:00:09 +08:00
parent 1ae576454c
commit a3b1beeb0f
1 changed files with 3 additions and 3 deletions
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6
lib/dataread.py
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@ -941,9 +941,9 @@ def zhoududatachuli(df_zhibiaoshuju, df_zhibiaoliebiao, datecol='date', end_time
# 删除预测列空值的行
''' 工作日缺失，如果删除，会影响预测结果，导致统计准确率出错 '''
# df = df.dropna(subset=['y'])
# config.logger.info(f'删除预测列为空值的行后数据量：{df.shape}')
# df = df.dropna(axis=1, how='all')
# config.logger.info(f'删除全为空值的列后数据量：{df.shape}')
config.logger.info(f'删除预测列为空值的行后数据量：{df.shape}')
df = df.dropna(axis=1, how='all')
config.logger.info(f'删除全为空值的列后数据量：{df.shape}')
df.to_csv(os.path.join(dataset, '未填充的特征数据.csv'), index=False)
# 去掉指标列表中的columns_to_drop的行
df_zhibiaoliebiao = df_zhibiaoliebiao[df_zhibiaoliebiao['指标名称'].isin(