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API DesignReshapingConcat, Merge/Join, Stack/Unstack, ExplodeConcat, Merge/Join, Stack/Unstack, Explode
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Description
Code Sample, a copy-pastable example if possible
>>> df = pd.DataFrame([1], columns=['A'])
>>> df
A
0 1
>>> df.squeeze()
1
>>> type(df.squeeze())
numpy.int64
>>> df.squeeze(axis=1) # Only want to squeeze a single dimension, i.e. into a series
...
ValueError: the 'axis' parameter is not supported in the pandas implementation of squeeze()
Problem description
np.squeeze
supports axis
parameter and this comment in the source implies it should eventually be implemented.
Expected Output
>>> df.squeeze(axis=1) # Squeeze a single dimension, i.e. into a series
0 1
Name: A, dtype: int64
>>> df.squeeze(axis=0)
A 1
Name: 0, dtype: int64
Output of pd.show_versions()
pandas: 0.19.0+416.ge1390cd
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API DesignReshapingConcat, Merge/Join, Stack/Unstack, ExplodeConcat, Merge/Join, Stack/Unstack, Explode