我有一个数据框，其中包含重复的日期作为索引。其他列中的值为“ longitude”，“ latitude”和“ altitude”。数据框如下所示：
Index lon lat alt
2019-12-07 01:34:16.483601 -2.58 -107.609395 -29.976347 9019.0
2019-12-07 01:34:16.483601 3.77 -107.62478100000001 -29.979124 11158.0
2019-12-07 01:34:16.483601 3.82 -107.653606 -29.984322 15060.0
2019-12-07 01:34:16.483601 -2.02 -107.57474400000001 -29.970085 4610.0
2019-12-07 01:34:16.483601 29.62 -107.638236 -29.981551 13045.0
2019-12-07 01:34:16.859801 -0.99 -107.580839 -29.945495 4609.0
2019-12-07 01:34:16.859801 5.06 -107.675038 -29.962496 17076.0
2019-12-07 01:34:16.859801 -10.19 -107.56735499999999 -29.943056 2971.0
2019-12-07 01:34:16.859801 11.64 -107.62509600000001 -29.953492 10401.0
2019-12-07 01:34:16.859801 3.62 -107.619328 -29.952451 9646.0
2019-12-07 01:34:16.859801 6.06 -107.603939 -29.949671 7507.0
2019-12-07 01:34:16.859801 -1.54 -107.607787 -29.950366 8011.0
2019-12-07 01:34:17.236001 -5.84 -107.598477 -29.922998 6119.0
2019-12-07 01:34:17.236001 2.17 -107.60425000000001 -29.924041 6874.0
2019-12-07 01:34:17.612201 -38.43 -107.604602 -29.898415 6123.0
2019-12-07 01:34:17.988401 21.17 -107.63375500000001 -29.877999 9021.0
2019-12-07 01:34:17.988401 -0.27 -107.570255 -29.866514 713.0
2019-12-07 01:34:19.117001 13.77 -107.696124 -29.812198 15063.0
2019-12-07 01:34:19.493201 10.45 -107.598466 -29.768864 1340.0
2019-12-07 01:34:19.493201 11.1 -107.650375 -29.778255 8014.0
我想要拥有的是代替同一个索引使用许多行，而是想要拥有这样的东西：
Index lon lat alt
2019-12-07 01:34:16.483601 -2.58 -107.609395 -29.976347 9019.0
3.77 -107.62478100000001 -29.979124 11158.0
3.82 -107.653606 -29.984322 15060.0
-2.02 -107.57474400000001 -29.970085 4610.0
29.62 -107.638236 -29.981551 13045.0
2019-12-07 01:34:16.859801 -0.99 -107.580839 -29.945495 4609.0
5.06 -107.675038 -29.962496 17076.0
-10.19 -107.56735499999999 -29.943056 2971.0
11.64 -107.62509600000001 -29.953492 10401.0
3.62 -107.619328 -29.952451 9646.0
6.06 -107.603939 -29.949671 7507.0
-1.54 -107.607787 -29.950366 8011.0
2019-12-07 01:34:17.236001 -5.84 -107.598477 -29.922998 6119.0
2.17 -107.60425000000001 -29.924041 6874.0
2019-12-07 01:34:17.612201 -38.43 -107.604602 -29.898415 6123.0
2019-12-07 01:34:17.988401 21.17 -107.63375500000001 -29.877999 9021.0
-0.27 -107.570255 -29.866514 713.0
2019-12-07 01:34:19.117001 13.77 -107.696124 -29.812198 15063.0
2019-12-07 01:34:19.493201 10.45 -107.598466 -29.768864 1340.0
11.1 -107.650375 -29.778255 8014.0
我想要创建一个干净的数据框的最终目标是，我可以使用df.resample（“ 1min”）。asfreq（）进行升采样，同时又不能删除重复的索引，因此我不能使用 df.resample（“ 1min”）。asfreq（）
我不想使用groupby.mean（），因为我不想丢失三列的详细信息。有什么方法可以使用groupby并达到上述数据帧？ 任何建议和帮助，请多谢！谢谢！