pandas.Series.dt#

Series.dt()[source]#

Accessor object for Series values’ datetime-like, timedelta and period properties.

See also

DatetimeIndex

Index of datetime64 data.

Examples

>>> dates = pd.Series(
...     ["2024-01-01", "2024-01-15", "2024-02-5"], dtype="datetime64[ns]"
... )
>>> dates.dt.day
0     1
1    15
2     5
dtype: int32
>>> dates.dt.month
0    1
1    1
2    2
dtype: int32

>>> dates = pd.Series(
...     ["2024-01-01", "2024-01-15", "2024-02-5"], dtype="datetime64[ns, UTC]"
... )
>>> dates.dt.day
0     1
1    15
2     5
dtype: int32
>>> dates.dt.month
0    1
1    1
2    2
dtype: int32