[Numpy-discussion] [Numpy-svn] aada93: ENH: Add 'subok' parameter to PyArray_NewLikeArray...

Sebastian Haase seb.haase@gmail....
Tue Mar 15 14:25:19 CDT 2011


On Tue, Mar 15, 2011 at 7:22 PM,  <noreply@github.com> wrote:
> Branch: refs/heads/master
> Home:   https://github.com/numpy/numpy
>
> Commit: aada93306acfb4e2eb816faf32652edf8825cf45
>    https://github.com/numpy/numpy/commit/aada93306acfb4e2eb816faf32652edf8825cf45
> Author: Mark Wiebe <mwwiebe@gmail.com>
> Date:   2011-03-15 (Tue, 15 Mar 2011)
>
> Changed paths:
>  M doc/source/reference/c-api.array.rst
>  M numpy/add_newdocs.py
>  M numpy/core/numeric.py
>  M numpy/core/src/multiarray/convert.c
>  M numpy/core/src/multiarray/ctors.c
>  M numpy/core/src/multiarray/multiarraymodule.c
>  M numpy/core/src/umath/ufunc_object.c
>  M numpy/core/tests/test_numeric.py
>
> Log Message:
> -----------
> ENH: Add 'subok' parameter to PyArray_NewLikeArray, np.empty_like, np.zeros_like, and np.ones_like
>
> This way, the sub-type can be avoided if necessary. This helps mitigate,
> but doesn't fix, ticket #1753, by allowing "b = np.empty_like(a, subok=False)".
>
I'm really not in a position to comment on the depths of the numpy API,
but my understanding of np.<any>_like( ... )  was that it would create always
"normal" ndarrays just taking shape and dtype from the given array.
So what should the interpretation of "subok" be ?
Can you elaborate ... ?

Thanks,
Sebastian Haase


More information about the NumPy-Discussion mailing list