dask.dataframe.Series.dt.timetz

dask.dataframe.Series.dt.timetz¶

dataframe.Series.dt.timetz¶

Returns numpy array of datetime.time objects 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.

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[ns, 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)

dask.dataframe.Series.dt.time

dask.dataframe.Series.dt.tz