pandas.Series.dt.date

Series.dt.date

Returns numpy array of python datetime.date objects.

Namely, the date part of Timestamps without time and timezone information.

See also

DatetimeIndex.time

Returns numpy array of datetime.time objects. The time part of the Timestamps.

DatetimeIndex.year

The year of the datetime.

DatetimeIndex.month

The month as January=1, December=12.

DatetimeIndex.day

The day of the datetime.

Examples

For Series:

>>> s = pd.Series(["1/1/2020 10:00:00+00:00", "2/1/2020 11:00:00+00:00"])
>>> s = pd.to_datetime(s)
>>> s
0   2020-01-01 10:00:00+00:00
1   2020-02-01 11:00:00+00:00
dtype: datetime64[s, UTC]
>>> s.dt.date
0    2020-01-01
1    2020-02-01
dtype: object

For DatetimeIndex:

>>> idx = pd.DatetimeIndex(
...     ["1/1/2020 10:00:00+00:00", "2/1/2020 11:00:00+00:00"]
... )
>>> idx.date
array([datetime.date(2020, 1, 1), datetime.date(2020, 2, 1)], dtype=object)