Series.values
pandas.Series.values
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Series.values
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Return Series as ndarray or ndarray-like depending on the dtype
Returns: arr : 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.d