- API reference
- pandas arrays, scalars, and data types
- pandas.array...
pandas.arrays.DatetimeArray#
- classpandas.arrays.DatetimeArray(values,dtype=None,freq=<no_default>,copy=False)[source]#
Pandas ExtensionArray for tz-naive or tz-aware datetime data.
Warning
DatetimeArray is currently experimental, and its API may changewithout warning. In particular,
DatetimeArray.dtype
isexpected to change to always be an instance of anExtensionDtype
subclass.- Parameters:
- valuesSeries, Index, DatetimeArray, ndarray
The datetime data.
For DatetimeArrayvalues (or a Series or Index boxing one),dtype andfreq will be extracted fromvalues.
- 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.
Attributes
None
Methods
None
Examples
>>>pd.arrays.DatetimeArray._from_sequence(...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]
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