我有一个数据帧df1,其时间序列如下:
1 2020-06-07T19:42:32.000-0700
3 2020-06-05T22:41:25.000-0700
6 2020-06-09T10:46:07.000-0700
7 2020-06-07T16:36:05.000-0700
8 2020-06-06T16:44:06.000-0700
11 2020-06-06T21:19:12.000-0700
12 2020-06-06T15:28:10.000-0700
13 2020-06-06T11:09:36.000-0700
15 2020-06-07T11:49:17.000-0700
21 2020-06-07T15:17:23.000-0700
23 2020-06-07T21:12:30.000-0700
28 2020-06-06T20:00:12.000-0700
Name: _time, dtype: object
和具有以下时间序列的数据帧df2:
0 2020-06-07T16:36:05.000-0700
1 2020-06-07T15:17:23.000-0700
9 2020-06-06T20:00:12.000-0700
12 2020-06-09T10:46:07.000-0700
14 2020-06-06T15:28:10.000-0700
15 2020-06-06T11:09:36.000-0700
16 2020-06-07T11:49:17.000-0700
20 2020-06-07T19:42:32.000-0700
21 2020-06-06T21:19:12.000-0700
22 2020-06-06T16:44:05.000-0700
25 2020-06-07T21:12:30.000-0700
26 2020-06-05T22:41:25.000-0700
Name: _time, dtype: object
尽管这些时间戳并不完全相似,但我想将每个数据帧中具有最接近编号的行配对。