Python &引用;“爆炸”;(或重新采样)具有间隔索引的数据帧/序列
我有一个IntervalIndex系列Python &引用;“爆炸”;(或重新采样)具有间隔索引的数据帧/序列,python,pandas,Python,Pandas,我有一个IntervalIndex系列 | | sq | |:-------------------------------------------|-------:| | (2020-02-03 09:40:00, 2020-02-03 9:50:00] | 286747 | | (2020-02-03 10:55:00, 2020-02-03 11:10:00] | 617961 | | (202
| | sq |
|:-------------------------------------------|-------:|
| (2020-02-03 09:40:00, 2020-02-03 9:50:00] | 286747 |
| (2020-02-03 10:55:00, 2020-02-03 11:10:00] | 617961 |
| (2020-02-03 11:05:00, 2020-02-03 11:20:00] | 471782 |
我想把它分解成5分钟的间隔(重叠),就像我在常规日期/时间索引上使用重采样一样。预期结果:
| | sq |
|:-------------------------------------------|-------:|
| (2020-02-03 09:40:00, 2020-02-03 9:45:00] | 286747 |
| (2020-02-03 09:45:00, 2020-02-03 9:50:00] | 286747 |
| (2020-02-03 10:55:00, 2020-02-03 11:00:00] | 617961 |
| (2020-02-03 11:00:00, 2020-02-03 11:05:00] | 617961 |
| (2020-02-03 10:05:00, 2020-02-03 11:10:00] | 617961 |
| (2020-02-03 11:05:00, 2020-02-03 11:10:00] | 471782 |
| (2020-02-03 11:10:00, 2020-02-03 11:15:00] | 471782 |
| (2020-02-03 11:15:00, 2020-02-03 11:20:00] | 471782 |
有几种方法可以做与此问题类似的事情: