DataFrame.get_values()
[source]
Return an ndarray after converting sparse values to dense.
This is the same as .values
for non-sparse data. For sparse data contained in a pandas.SparseArray
, the data are first converted to a dense representation.
Returns: |
numpy.ndarray Numpy representation of DataFrame |
---|
See also
values
pandas.SparseArray
>>> df = pd.DataFrame({'a': [1, 2], 'b': [True, False], ... 'c': [1.0, 2.0]}) >>> df a b c 0 1 True 1.0 1 2 False 2.0
>>> df.get_values() array([[1, True, 1.0], [2, False, 2.0]], dtype=object)
>>> df = pd.DataFrame({"a": pd.SparseArray([1, None, None]), ... "c": [1.0, 2.0, 3.0]}) >>> df a c 0 1.0 1.0 1 NaN 2.0 2 NaN 3.0
>>> df.get_values() array([[ 1., 1.], [nan, 2.], [nan, 3.]])
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Licensed under the 3-clause BSD License.
http://pandas.pydata.org/pandas-docs/version/0.23.4/generated/pandas.DataFrame.get_values.html