delta/python-packages/numpy.git/numpy/core/_methods.py, branch v1.10.0rc2

STY: PEP8 fixes for numpy/core/*.py

2015-07-05T18:18:26+00:00

ENH: avoid keyword arguments for some ufunc.reduce wrappers

2014-05-15T21:52:43+00:00

PyArg_ParseTupleAndKeywords is pretty slow for keywords as it needs to
create python strings first. Using positional arguments avoids this and
gains 15-20% performance for small reductions.

BUG: Fix mean, var, std methods for object arrays.

2014-02-10T18:07:17+00:00

This takes care to preserve the object type for scalar returns and
fixes the error that resulted when the scalar did not have a dtype
attribute.

Closes #4063.

MAINT: typo

2013-10-19T16:35:18+00:00

BUG: Make ndarray.{var, std} work for scalars.

2013-10-04T22:07:38+00:00

STY: Giant whitespace cleanup.

2013-08-18T17:20:45+00:00

Now is as good a time as any with open PR's at a low.

ENH: Make var and std methods raise error when ddof too big.

2013-08-13T04:33:56+00:00

Currently the results may be infinite or negative. Instead, raise a
ValueError in this case.

BUG: Make mean, sum, var, std methods return correct scalar type.

2013-08-13T04:33:56+00:00

The return type could differ depending on whether or not the value
was a scalar.

MAINT: Clean up core/_methods.py and core/fromnumeric.py

2013-08-13T04:33:55+00:00

Use issubclass instead of issubdtype.
Add some blank lines.
Remove trailing whitespace.
Remove uneeded float casts since true_divide is default.
Clean up documentation a bit.

MAINT: Separate nan functions into their own module.

2013-08-13T04:33:55+00:00

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