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# 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[us, 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)