>>> df = pd.DataFrame(
...     {
...         "hours": ["0hr", "128hr", "0hr", "64hr", "64hr", "128hr"],
...         "mins": ["10mins", "40mins", "40mins", "40mins", "10mins", "10mins"],
...         "value": [10, 20, 30, 40, 50, 60],
...     }
... )
>>> df
   hours    mins  value
0    0hr  10mins     10
1  128hr  40mins     20
2    0hr  40mins     30
3   64hr  40mins     40
4   64hr  10mins     50
5  128hr  10mins     60
>>> from natsort import index_natsorted
>>> df.sort_values(
...     by=["hours", "mins"],
...     key=lambda x: np.argsort(index_natsorted(x)),
... )
   hours    mins  value
0    0hr  10mins     10
2    0hr  40mins     30
3   64hr  40mins     40
4   64hr  10mins     50
1  128hr  40mins     20
5  128hr  10mins     60