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

Neil Girdhar mistersheik at gmail.com
Wed Apr 15 18:16:18 EDT 2015


I don't understand.  Are you at pycon by any chance?

On Wed, Apr 15, 2015 at 6:12 PM, <josef.pktd at gmail.com> wrote:

> On Wed, Apr 15, 2015 at 6:08 PM,  <josef.pktd at gmail.com> wrote:
> > On Wed, Apr 15, 2015 at 5:31 PM, Neil Girdhar <mistersheik at gmail.com>
> wrote:
> >> Does it work for you to set
> >>
> >> outer = np.multiply.outer
> >>
> >> ?
> >>
> >> It's actually faster on my machine.
> >
> > I assume it does because np.corrcoeff uses it, and it's the same type
> > of use cases.
> > However, I'm not using it very often (I prefer broadcasting), but I've
> > seen it often enough when reviewing code.
> >
> > This is mainly to point out that it could be a popular function (that
> > maybe shouldn't be deprecated)
> >
> > https://github.com/search?utf8=%E2%9C%93&q=np.outer
> > 416914
>
> After thinking another minute:
>
> I think it should not be deprecated, it's like toepliz. We can use it
> also to normalize 2d arrays where columns and rows are different not
> symmetric as in the corrcoef case.
>
> Josef
>
>
> >
> > Josef
> >
> >
> >>
> >> On Wed, Apr 15, 2015 at 5:29 PM, <josef.pktd at gmail.com> wrote:
> >>>
> >>> On Wed, Apr 15, 2015 at 7:35 AM, Neil Girdhar <mistersheik at gmail.com>
> >>> wrote:
> >>> > 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
> >>> >> >
> >>> >> >
> >>> >> >
> >>> >> >
> >>> >> >         _______________________________________________
> >>> >> >         NumPy-Discussion mailing list
> >>> >> >         NumPy-Discussion at scipy.org
> >>> >> >         http://mail.scipy.org/mailman/listinfo/numpy-discussion
> >>> >> >
> >>> >> > _______________________________________________
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> >>> >>
> >>> >>
> >>> >> _______________________________________________
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> >>> >>
> >>> >
> >>> >
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> >>> >
> >>>
> >>>
> >>> I'm just looking at this thread.
> >>>
> >>> I see outer used quite often
> >>>
> >>> corrcoef = cov / np.outer(std, std)
> >>>
> >>> (even I use it sometimes instead of
> >>> cov / std[:,None] / std
> >>>
> >>> Josef
> >>> _______________________________________________
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> >>> http://mail.scipy.org/mailman/listinfo/numpy-discussion
> >>
> >>
> >>
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