pandas.Series.dt.time — pandas 3.0.0.dev0+2102.g839747c3f6 documentation (original) (raw)

Series.dt.time[source]#

Returns numpy array of datetime.time objects.

The time part of the Timestamps.

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.time 0 10:00:00 1 11:00:00 dtype: object

For DatetimeIndex:

idx = pd.DatetimeIndex( ... ["1/1/2020 10:00:00+00:00", "2/1/2020 11:00:00+00:00"] ... ) idx.time array([datetime.time(10, 0), datetime.time(11, 0)], dtype=object)