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Deal with subclasses of ndarray, like pandas.Series and matrix.
Subclasses may not define the new keyword keepdims or deal
gracefully with ufuncs in all their forms. This is solved by
throwing the problem onto the np.sum, np.any, etc. functions
that have ugly hacks to deal with the problem.
Settle handling of all-nan slices.
nanmax, nanmin -- Raise warning, return NaN for slice.
nanargmax, nanargmin -- Raise ValueError.
nansum -- Return 0 for slice.
nanmean, nanvar, nanstd -- Raise warning, return NaN for slice.
Make NaN functions work for scalar arguments.
This may seem silly, but it removes a check for special cases.
Update tests
Deal with new all-nan handling.
Test with matrix class as example of subclass without keepdims.
Test with scalar arguments.
Fix nanvar issue reported in #3860.
Closes #3860 #3850
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Run autopep8 over the test files in numpy/lib/test and make fixes
to the result.
Also remove Python5 workaround.
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Make this happen and remove test parts dependent on numpy version
< 1.9. Fixes test failures in numpy after 1.8 branch.
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Run the 2to3 ws_comma fixer on *.py files. Some lines are now too long
and will need to be broken at some point. OTOH, some lines were already
too long and need to be broken at some point. Now seems as good a time
as any to do this with open PRs at a minimum.
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Fix typos and clarify some explanations. Document the changes in the return
values of nanargmin and nanargmax for all-NaN slices in the 1.8.0 release
notes.
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New files lib/nanfunctions.py and lib/tests/test_nanfunctions.py are
added and both the previous and new nan functions and tests are moved
into them.
The existing nan functions moved from lib/function_base are:
nansum, nanmin, nanmax, nanargmin, nanargmax
The added nan functions moved from core/numeric are:
nanmean, nanvar, nanstd
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