pandas.Series.values — pandas 0.24.0rc1 documentation (original) (raw)
Series.
values
¶
Return Series as ndarray or ndarray-like depending on the dtype.
Returns: | arr : numpy.ndarray or ndarray-like |
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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]')