@property<EOL><INDENT>def values(self):<DEDENT>
return self._data.external_values()<EOL>
Return Series as ndarray or ndarray-like depending on the dtype.

.. warning::

   We recommend using :attr:`Series.array` or
   :meth:`Series.to_numpy`, depending on whether you need
   a reference to the underlying data or a NumPy array.

Returns
-------
numpy.ndarray or ndarray-like

See Also
--------
Series.array : Reference to the underlying data.
Series.to_numpy : A NumPy array representing the underlying data.

Examples
--------
>>> pd.Series([1, 2, 3]).values
array([1, 2, 3])

>>> pd.Series(list('aabc')).values
array(['a', 'a', 'b', 'c'], dtype=object)

>>> pd.Series(list('aabc')).astype('category').values
[a, a, b, c]
Categories (3, object): [a, b, c]

Timezone aware datetime data is converted to UTC:

>>> pd.Series(pd.date_range('20130101', periods=3,
...                         tz='US/Eastern')).values
array(['2013-01-01T05:00:00.000000000',
       '2013-01-02T05:00:00.000000000',
       '2013-01-03T05:00:00.000000000'], dtype='datetime64[ns]')