[Numpy] Load date/time from .txt to 'datetime64' type.

[water]

I have date/time data in .txt file likes below format:

2024-2-27, 0:0:0
2024-2-27, 3:7:2
2024-2-27, 4:11:3
2024-2-27, 6:3:5
2024-2-27, 13:10:6
2024-2-27, 20:20:7
2024-2-27, 21:30:9
2024-2-27, 22:40:10
2024-2-27, 23:50:12

I want to load that use numpy.loadtxt() and convert to 'datetime64' type, but 'datetime64' type require string format likes below:

numpy.array(['2020-02-27T15:23:07'], dtype = 'datetime64[s]')

so I must fill some '0', and concatenate date and time use 'T'?

# fill '0'
2024-02-27, 00:00:00
2024-02-27, 03:07:02
2024-02-27, 04:11:03
2024-02-27, 06:03:05
2024-02-27, 13:10:06
2024-02-27, 20:20:07
2024-02-27, 21:30:09
2024-02-27, 22:40:10
2024-02-27, 23:50:12

# concatenate use 'T'
2024-02-27T00:00:00
2024-02-27T03:07:02
2024-02-27T04:11:03
2024-02-27T06:03:05
2024-02-27T13:10:06
2024-02-27T20:20:07
2024-02-27T21:30:09
2024-02-27T22:40:10
2024-02-27T23:50:12

Is it have simply way to do that?