[Numpy-discussion] Consider improving numpy.outer's behavior with zero-dimensional vectors

[Neil Girdhar]

Yes, I totally agree.  If I get started on the PR to deprecate np.outer,
maybe I can do it as part of the same PR?

On Wed, Apr 15, 2015 at 4:32 AM, Sebastian Berg <sebastian at sipsolutions.net>
wrote:

> Just a general thing, if someone has a few minutes, I think it would
> make sense to add the ufunc.reduce thing to all of these functions at
> least in the "See Also" or "Notes" section in the documentation.
>
> These special attributes are not that well known, and I think that might
> be a nice way to make it easier to find.
>
> - Sebastian
>
> On Di, 2015-04-14 at 22:18 -0400, Nathaniel Smith wrote:
> > I am, yes.
> >
> > On Apr 14, 2015 9:17 PM, "Neil Girdhar" <mistersheik at gmail.com> wrote:
> >         Ok, I didn't know that.  Are you at pycon by any chance?
> >
> >         On Tue, Apr 14, 2015 at 7:16 PM, Nathaniel Smith
> >         <njs at pobox.com> wrote:
> >                 On Tue, Apr 14, 2015 at 3:48 PM, Neil Girdhar
> >                 <mistersheik at gmail.com> wrote:
> >                 > Yes, I totally agree with you regarding np.sum and
> >                 np.product, which is why
> >                 > I didn't suggest np.add.reduce, np.multiply.reduce.
> >                 I wasn't sure whether
> >                 > cumsum and cumprod might be on the line in your
> >                 judgment.
> >
> >                 Ah, I see. I think we should treat them the same for
> >                 now -- all the
> >                 comments I made apply to a lesser or greater extent
> >                 (in particular,
> >                 cumsum and cumprod both do the thing where they
> >                 dispatch to .cumsum()
> >                 .cumprod() method).
> >
> >                 -n
> >
> >                 --
> >                 Nathaniel J. Smith -- http://vorpus.org
> >                 _______________________________________________
> >                 NumPy-Discussion mailing list
> >                 NumPy-Discussion at scipy.org
> >                 http://mail.scipy.org/mailman/listinfo/numpy-discussion
> >
> >
> >
> >
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