pandas.Series.values — pandas 2.3.0 documentation (original) (raw)

property Series.values[source]#

Return Series as ndarray or ndarray-like depending on the dtype.

Returns:

numpy.ndarray or ndarray-like

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]')