Python 熊猫：重复列值n次，并滚动到未来日期 我有一个如下所示的数据帧：

此数据集包含2021-01-01 00:00:00到2021-01-04 23:59:00的分钟级别值

“时间”列的类型为“datetime64[ns]”。“值”列的类型为“float64”

我想向前滚动（即重复）这4天的分钟数据6次，这样我将得到一个包含28天分钟级数据的伪数据集。它看起来是这样的：

• 在熊猫身上实现这一点的优雅方式是什么

• 是否有一种方法可以将操作包装到函数中，以便我可以调整我希望数据向前滚动的次数（n）（在上面的情况下，n=6），其余的将通过

• 比如说,

• 如果n=1，我将获得数据，直到2021-01-08

• 如果n=2，我将获得数据，直到2021-01-12

非常感谢你的帮助

+---------------------+-------+
| time                | value |
+---------------------+-------+
| 2020-01-01 00:00:00 | 90    |
+---------------------+-------+
| 2020-01-01 00:01:00 | 80    |
+---------------------+-------+
| 2021-01-01 00:02:00 | 75    |
+---------------------+-------+
| ...                 | ...   |
+---------------------+-------+
| 2021-01-04 23:57:00 | 100   |
+---------------------+-------+
| 2021-01-04 23:58:00 | 110   |
+---------------------+-------+
| 2021-01-04 23:59:00 | 120   |
+---------------------+-------+

+---------------------+-------+
| time                | value |
+---------------------+-------+
| 2020-01-01 00:00:00 | 90    |
+---------------------+-------+
| 2020-01-01 00:01:00 | 80    |
+---------------------+-------+
| 2021-01-01 00:02:00 | 75    |
+---------------------+-------+
| ...                 | ...   |
+---------------------+-------+
| 2021-01-04 23:57:00 | 100   |
+---------------------+-------+
| 2021-01-04 23:58:00 | 110   |
+---------------------+-------+
| 2021-01-04 23:59:00 | 120   |
+---------------------+-------+
| 2020-01-05 00:00:00 | 90    |
+---------------------+-------+
| 2020-01-05 00:01:00 | 80    |
+---------------------+-------+
| 2021-01-05 00:02:00 | 75    |
+---------------------+-------+
| ...                 | ...   |
+---------------------+-------+
| 2021-01-08 23:57:00 | 100   |
+---------------------+-------+
| 2021-01-08 23:58:00 | 110   |
+---------------------+-------+
| 2021-01-08 23:59:00 | 120   |
+---------------------+-------+
| ...                 | ...   |
+---------------------+-------+
| ...                 | ...   |
+---------------------+-------+
| 2020-01-25 00:00:00 | 90    |
+---------------------+-------+
| 2020-01-25 00:01:00 | 80    |
+---------------------+-------+
| 2021-01-25 00:02:00 | 75    |
+---------------------+-------+
| ...                 | ...   |
+---------------------+-------+
| 2021-01-28 23:57:00 | 100   |
+---------------------+-------+
| 2021-01-28 23:58:00 | 110   |
+---------------------+-------+
| 2021-01-28 23:59:00 | 120   |
+---------------------+-------+