从下面的字典中考虑DATAFAFRAM.其中两列是“datetime”、“date\u at\u,需要哪个值”。我想创建一个新列,其中包含datetime列的值,作为列表/系列,这些列表/系列的日期与“date_at_which_value_is_needed”列中的值相同。有没有办法不用循环就能做到这一点
{'datetime': {667: Timestamp('2019-11-08 10:00:00+0000', tz='UTC'),
673: Timestamp('2019-11-08 16:00:00+0000', tz='UTC'),
679: Timestamp('2019-11-08 22:00:00+0000', tz='UTC'),
685: Timestamp('2019-11-09 04:00:00+0000', tz='UTC'),
691: Timestamp('2019-11-11 10:00:00+0000', tz='UTC'),
697: Timestamp('2019-11-11 16:00:00+0000', tz='UTC'),
703: Timestamp('2019-11-11 22:00:00+0000', tz='UTC'),
709: Timestamp('2019-11-12 04:00:00+0000', tz='UTC'),
715: Timestamp('2019-11-12 10:00:00+0000', tz='UTC'),
721: Timestamp('2019-11-12 16:00:00+0000', tz='UTC'),
727: Timestamp('2019-11-12 22:00:00+0000', tz='UTC'),
733: Timestamp('2019-11-13 04:00:00+0000', tz='UTC'),
739: Timestamp('2019-11-13 10:00:00+0000', tz='UTC'),
745: Timestamp('2019-11-13 16:00:00+0000', tz='UTC'),
751: Timestamp('2019-11-13 22:00:00+0000', tz='UTC'),
757: Timestamp('2019-11-14 04:00:00+0000', tz='UTC'),
763: Timestamp('2019-11-14 10:00:00+0000', tz='UTC'),
769: Timestamp('2019-11-14 16:00:00+0000', tz='UTC'),
775: Timestamp('2019-11-14 22:00:00+0000', tz='UTC'),
780: Timestamp('2019-11-15 04:00:00+0000', tz='UTC')},
'date_at_which_value_is_needed': {667: Timestamp('2019-11-05 00:00:00+0000', tz='UTC'),
673: Timestamp('2019-11-05 00:00:00+0000', tz='UTC'),
679: Timestamp('2019-11-05 00:00:00+0000', tz='UTC'),
685: Timestamp('2019-11-06 00:00:00+0000', tz='UTC'),
691: Timestamp('2019-11-06 00:00:00+0000', tz='UTC'),
697: Timestamp('2019-11-06 00:00:00+0000', tz='UTC'),
703: Timestamp('2019-11-06 00:00:00+0000', tz='UTC'),
709: Timestamp('2019-11-07 00:00:00+0000', tz='UTC'),
715: Timestamp('2019-11-07 00:00:00+0000', tz='UTC'),
721: Timestamp('2019-11-07 00:00:00+0000', tz='UTC'),
727: Timestamp('2019-11-07 00:00:00+0000', tz='UTC'),
733: Timestamp('2019-11-08 00:00:00+0000', tz='UTC'),
739: Timestamp('2019-11-08 00:00:00+0000', tz='UTC'),
745: Timestamp('2019-11-08 00:00:00+0000', tz='UTC'),
751: Timestamp('2019-11-08 00:00:00+0000', tz='UTC'),
757: Timestamp('2019-11-11 00:00:00+0000', tz='UTC'),
763: Timestamp('2019-11-11 00:00:00+0000', tz='UTC'),
769: Timestamp('2019-11-11 00:00:00+0000', tz='UTC'),
775: Timestamp('2019-11-11 00:00:00+0000', tz='UTC'),
780: Timestamp('2019-11-12 00:00:00+0000', tz='UTC')},
'c': {667: 64.6475,
673: 65.005,
679: 65.0075,
685: 65.0075,
691: 65.0225,
697: 65.5875,
703: 65.6,
709: 65.5625,
715: 65.355,
721: 65.475,
727: 65.425,
733: 65.0375,
739: 65.9017,
745: 66.1875,
751: 66.15,
757: 66.075,
763: 65.695,
769: 65.625,
775: 65.66,
780: 65.9525}}
例如,对于最后一行(索引780),新列将包含以下列表:
[Timestamp('2019-11-12 04:00:00+0000', tz='UTC'), Timestamp('2019-11-12 10:00:00+0000', tz='UTC'), Timestamp('2019-11-12 16:00:00+0000', tz='UTC'), Timestamp('2019-11-12 22:00:00+0000', tz='UTC')]
试试这个:
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