On Wed, Apr 15, 2015 at 6:08 PM, <[email protected]> wrote: > On Wed, Apr 15, 2015 at 5:31 PM, Neil Girdhar <[email protected]> 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, <[email protected]> wrote: >>> >>> On Wed, Apr 15, 2015 at 7:35 AM, Neil Girdhar <[email protected]> >>> 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 >>> > <[email protected]> >>> > 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" <[email protected]> >>> >> > 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 >>> >> > <[email protected]> wrote: >>> >> > On Tue, Apr 14, 2015 at 3:48 PM, Neil Girdhar >>> >> > <[email protected]> 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 >>> >> > [email protected] >>> >> > >>> >> > http://mail.scipy.org/mailman/listinfo/numpy-discussion >>> >> > >>> >> > >>> >> > >>> >> > >>> >> > _______________________________________________ >>> >> > NumPy-Discussion mailing list >>> >> > [email protected] >>> >> > http://mail.scipy.org/mailman/listinfo/numpy-discussion >>> >> > >>> >> > _______________________________________________ >>> >> > NumPy-Discussion mailing list >>> >> > [email protected] >>> >> > http://mail.scipy.org/mailman/listinfo/numpy-discussion >>> >> >>> >> >>> >> _______________________________________________ >>> >> NumPy-Discussion mailing list >>> >> [email protected] >>> >> http://mail.scipy.org/mailman/listinfo/numpy-discussion >>> >> >>> > >>> > >>> > _______________________________________________ >>> > NumPy-Discussion mailing list >>> > [email protected] >>> > http://mail.scipy.org/mailman/listinfo/numpy-discussion >>> > >>> >>> >>> 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 >>> _______________________________________________ >>> NumPy-Discussion mailing list >>> [email protected] >>> http://mail.scipy.org/mailman/listinfo/numpy-discussion >> >> >> >> _______________________________________________ >> NumPy-Discussion mailing list >> [email protected] >> http://mail.scipy.org/mailman/listinfo/numpy-discussion >> _______________________________________________ NumPy-Discussion mailing list [email protected] http://mail.scipy.org/mailman/listinfo/numpy-discussion
