pandas.DatetimeIndex.to_pydatetime#

DatetimeIndex.to_pydatetime()[source]#

Return an ndarray of datetime.datetime objects.

Returns:

numpy.ndarray: An ndarray of datetime.datetime objects.

See also

DatetimeIndex.to_julian_date: Converts Datetime Array to float64 ndarray of Julian Dates.

Examples

>>> idx = pd.date_range("2018-02-27", periods=3)
>>> idx.to_pydatetime()
array([datetime.datetime(2018, 2, 27, 0, 0),
       datetime.datetime(2018, 2, 28, 0, 0),
       datetime.datetime(2018, 3, 1, 0, 0)], dtype=object)