pandas.Series.values — pandas 3.0.1 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 ['a', 'a', 'b', 'c'] Length: 4, dtype: str

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

Timezone aware datetime data is converted to UTC:

pd.Series(pd.date_range("20130101", periods=3, tz="US/Eastern")).values array(['2013-01-01T05:00:00.000000', '2013-01-02T05:00:00.000000', '2013-01-03T05:00:00.000000'], dtype='datetime64[us]')