Make Index.all compatible with numpy.all

[pauldmccarthy]

• closes #xxxx
• tests added / passed
• Ensure all linting tests pass, see here for how to run them
• whatsnew entry

Due to a bug in my own code, I discovered that pandas.Index objects cannot be passed to the numpy.all function:

In [1]: import numpy as np

In [2]: import pandas as pd

In [3]: idx = pd.Int64Index([1,2,3,4,5])

In [4]: np.all(idx)
---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
<ipython-input-4-597ac8c43e48> in <module>
----> 1 np.all(idx)

<__array_function__ internals> in all(*args, **kwargs)

~/venvs/funpack.venv/lib/python3.7/site-packages/numpy/core/fromnumeric.py in all(a, axis, out, keepdims, where)
   2437     """
   2438     return _wrapreduction(a, np.logical_and, 'all', axis, None, out,
-> 2439                           keepdims=keepdims, where=where)
   2440
   2441

~/venvs/funpack.venv/lib/python3.7/site-packages/numpy/core/fromnumeric.py in _wrapreduction(obj, ufunc, method, axis, dtype, out, **kwargs)
     83                 return reduction(axis=axis, dtype=dtype, out=out, **passkwargs)
     84             else:
---> 85                 return reduction(axis=axis, out=out, **passkwargs)
     86
     87     return ufunc.reduce(obj, axis, dtype, out, **passkwargs)

TypeError: all() got an unexpected keyword argument 'axis'

Using this PR as precedent, the fix is quite straightforward.

[jreback]

move to 1.3 Bug Fixes in reshaping section, add the PR number as the issue number, can you reference np.all here I think :func:numpy.all works or similar

[jreback]

can you add the issue number as a comment

[jreback]

can you move this near other tests similar to def test_any_all

[jreback]

can you parameterize over Index & Series

[jreback]

can you parameterize over Index & Series

[pauldmccarthy]

@jreback Requested changes made - thanks!

[jreback]

thanks @pauldmccarthy very nice!