pandas.DatetimeIndex.to_pydatetime

DatetimeIndex.to_pydatetime(*args, **kwargs)[source]

Return an ndarray of datetime.datetime objects.

Returns:

numpy.ndarray

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)