pandas.arrays.DatetimeArray#
- class pandas.arrays.DatetimeArray(values, dtype=None, freq=_NoDefault.no_default, copy=False)[source]#
- Pandas ExtensionArray for tz-naive or tz-aware datetime data. - Warning - DatetimeArray is currently experimental, and its API may change without warning. In particular, - DatetimeArray.dtypeis expected to change to always be an instance of an- ExtensionDtypesubclass.- Parameters:
- valuesSeries, Index, DatetimeArray, ndarray
- The datetime data. - For DatetimeArray values (or a Series or Index boxing one), dtype and freq will be extracted from values. 
- dtypenumpy.dtype or DatetimeTZDtype
- Note that the only NumPy dtype allowed is ‘datetime64[ns]’. 
- freqstr or Offset, optional
- The frequency. 
- copybool, default False
- Whether to copy the underlying array of values. 
 
 - Examples - >>> pd.arrays.DatetimeArray(pd.DatetimeIndex(['2023-01-01', '2023-01-02']), ... freq='D') <DatetimeArray> ['2023-01-01 00:00:00', '2023-01-02 00:00:00'] Length: 2, dtype: datetime64[ns] - Attributes - None - Methods - None