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# pandas.Series.dt.timetz

Series.dt.timetz

  Returns numpy array of `datetime.time` objects with timezones.

  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)