I have a pandas dataframe with a column like:
In [96]: data['difference']
Out[96]:
0 NaT
1 1 days 21:34:30
2 0 days 16:57:36
3 0 days 00:16:51
4 0 days 15:52:38
5 0 days 14:19:34
6 0 days 02:54:46
7 1 days 04:21:28
8 0 days 01:58:55
9 0 days 10:30:35
10 0 days 07:53:04
....
Name: difference, dtype: timedelta64[ns]
I want to create next to it a column with integers corresponding to the days values in this column.
This should convert your timedelta64[ns]
type to float64
representing days:
data['difference'].astype('timedelta64[D]')