我有一个非常简单的Pandas数据框,其中包含一个索引(TimedeltaIndex类型)和一个名为TotalVolume的列.
@H_301_6@>> print(df) TotalVolume ... 09:00:00 143846.153846 09:05:00 84353.846154 09:10:00 46946.153846 09:15:00 46765.384615 09:20:00 53076.923077 09:25:00 31642.307692 09:30:00 48269.230769 ...
我希望能够以09:00:00查询这本词典,并获得143846.153846.有关信息,这是索引的结构:
@H_301_6@>> print(df.index) TimedeltaIndex(['07:00:00','07:05:00','07:10:00','07:15:00','07:20:00','07:25:00','07:30:00','07:35:00','07:40:00','07:45:00','07:50:00','07:55:00','08:00:00','08:05:00','08:10:00','08:15:00','08:20:00','08:25:00','08:30:00','08:35:00','08:40:00','08:45:00','08:50:00','08:55:00','09:00:00','09:05:00','09:10:00','09:15:00','09:20:00','09:25:00','09:30:00','09:35:00','09:40:00','09:45:00','09:50:00','09:55:00','10:00:00','10:05:00','10:10:00','10:15:00','10:20:00','10:25:00','10:30:00','10:35:00','10:40:00','10:45:00','10:50:00','10:55:00','11:00:00','11:05:00','11:10:00','11:15:00','11:20:00','11:25:00','11:30:00','11:35:00','11:40:00','11:45:00','11:50:00','11:55:00','12:00:00','12:05:00','12:10:00','12:15:00','12:20:00','12:25:00','12:30:00','12:35:00','12:40:00','12:45:00','12:50:00','12:55:00','13:00:00','13:05:00','13:10:00','13:15:00','13:20:00','13:25:00','13:30:00','13:35:00','13:40:00','13:45:00','13:50:00','13:55:00','14:00:00','14:05:00','14:10:00','14:15:00','14:20:00','14:25:00','14:30:00','14:35:00','14:40:00','14:45:00','14:50:00','14:55:00','15:00:00'],dtype='timedelta64[ns]',freq=None)
当我做,
@H_301_6@print(df['09:00:00'])
我有
@H_301_6@ TotalVolume 09:00:00 143846.153846 09:05:00 84353.846154 09:10:00 46946.153846 09:15:00 46765.384615 09:20:00 53076.923077 09:25:00 31642.307692 09:30:00 48269.230769 09:35:00 35715.384615 09:40:00 38576.923077 09:45:00 37211.538462 09:50:00 41803.846154 09:55:00 37503.846154
似乎过滤器没有按照我的意愿工作.它在09:05:00正常工作.
什么是最虔诚的方式呢?
最佳答案
对我来说工作
loc
:
@H_301_6@print (df) TotalVolume 09:00:00 143846.153846 09:05:00 84353.846154 09:10:00 46946.153846 09:15:00 46765.384615 09:20:00 53076.923077 09:25:00 31642.307692 09:30:00 48269.230769 print (df.index) TimedeltaIndex(['09:00:00','09:30:00'],freq=None) print(df.loc['09:00:00','TotalVolume']) 143846.153846 print(df.loc['0 day 09:00:00','TotalVolume']) 143846.153846 print(df.loc['09:00:00']) TotalVolume 143846.153846 Name: 0 days 09:00:00,dtype: float64
但:
@H_301_6@print(df['09:05:00'])
KeyError: ’09:05:00′
和:
@H_301_6@print(df['09:05:00':'09:20:00']) TotalVolume 09:05:00 84353.846154 09:10:00 46946.153846 09:15:00 46765.384615 09:20:00 53076.923077