根据每个组的每个进程的开始和结束时间对 DataFrame 进行采样 - Pandas [重复]

Question

我有一个数据框，其中有以下列：

Group   |  Process  |  StartTime          |  EndTime            |
-----------------------------------------------------------------
  1     |     A     | 2023-01-01 10:09:18 | 2023-01-01 11:19:28 |
  1     |     B     | 2023-01-01 11:29:01 | 2023-01-01 19:29:00 |
  1     |     C     | 2023-01-01 19:56:11 | 2023-01-02 01:09:10 |
  2     |     A     | 2023-02-14 23:54:11 | 2023-02-15 04:01:14 |
  2     |     B     | 2023-02-14 05:56:11 | 2023-02-14 09:00:20 |
  2     |     D     | 2023-02-14 10:16:01 | 2023-02-14 21:06:30 |

我想要做的就是对于每个组，我想以 1 分钟的频率重新采样数据帧，包括开始时间和结束时间。

对于前。对于流程 A 的第 1 组，我将有从 01-01-2023 10:09 到 11:20 开始的行，以 1 分钟的频率采样，即 df.resample('1T')

Group   |  Process      | Sample Timestamp    |  StartTime          |  EndTime           |
    --------------------------------------------------------------------------------------
      1     |     A     | 2023-01-01 10:09:00 | 2023-01-01 10:09:18 | 2023-01-01 11:19:28|
      1     |     A     | 2023-01-01 10:10:00 | 2023-01-01 10:09:18 | 2023-01-01 11:19:28| 
      1     |     A     | 2023-01-01 10:11:00 | 2023-01-01 10:09:18 | 2023-01-01 11:19:28| 
      ....  |    ...    |  ...                |    ...              |   ...              |
      1     |     A     | 2023-01-01 11:18:00 | 2023-01-01 10:09:18 | 2023-01-01 11:19:28|
      1     |     A     | 2023-01-01 11:19:00 | 2023-01-01 10:09:18 | 2023-01-01 11:19:28|
      1     |     B     | 2023-01-01 11:29:00 | 2023-01-01 11:29:01 | 2023-01-01 19:29:00|
      1     |     B     | 2023-01-01 11:30:00 | 2023-01-01 11:29:01 | 2023-01-01 19:29:00|
      ....  |     ...   |    ...              |     ...             |   ...              |
      1     |     B     | 2023-01-01 19:28:00 | 2023-01-01 11:29:01 | 2023-01-01 19:29:00|
      1     |     B     | 2023-01-01 19:29:00 | 2023-01-01 11:29:01 | 2023-01-01 19:29:00|
      < same for Process C and other Groups as well>

作为参考，我在这里尝试了这段代码：Reference Code

但不幸的是，我无法按每个小组实施。

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