extract_array(obj: 'object', extract_numpy: 'bool' = False, extract_range: 'bool' = False) -> 'Any | ArrayLike'
For all other types, :None:None:`obj` is just returned as is.
For Series / Index, the underlying ExtensionArray is unboxed.
Whether to extract the ndarray from a PandasArray.
If we have a RangeIndex, return range._values if True (which is a materialized integer ndarray), otherwise return unchanged.
Extract the ndarray or ExtensionArray from a Series or Index.
>>> extract_array(pd.Series(['a', 'b', 'c'], dtype='category')) ['a', 'b', 'c'] Categories (3, object): ['a', 'b', 'c']
Other objects like lists, arrays, and DataFrames are just passed through.
This example is valid syntax, but we were not able to check execution>>> extract_array([1, 2, 3]) [1, 2, 3]
For an ndarray-backed Series / Index the ndarray is returned.
This example is valid syntax, but we were not able to check execution>>> extract_array(pd.Series([1, 2, 3])) array([1, 2, 3])
To extract all the way down to the ndarray, pass extract_numpy=True
.
>>> extract_array(pd.Series([1, 2, 3]), extract_numpy=True) array([1, 2, 3])See :
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pandas.core.construction.extract_array
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