dask.dataframe.Series.dt.timetz#
- dataframe.Series.dt.timetz#
Returns numpy array of
datetime.timeobjects with timezones.This docstring was copied from pandas.core.indexes.accessors.CombinedDatetimelikeProperties.timetz.
Some inconsistencies with the Dask version may exist.
The time part of the Timestamps.
See also
DatetimeIndex.timeReturns numpy array of
datetime.timeobjects. The time part of the Timestamps.DatetimeIndex.tzReturn the timezone.
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[us, UTC] >>> s.dt.timetz 0 10:00:00+00:00 1 11:00:00+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.timetz array([datetime.time(10, 0, tzinfo=datetime.timezone.utc), datetime.time(11, 0, tzinfo=datetime.timezone.utc)], dtype=object)