On Wed, Apr 15, 2015 at 5:31 PM, Neil Girdhar <mistersh...@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 Josef > > On Wed, Apr 15, 2015 at 5:29 PM, <josef.p...@gmail.com> wrote: >> >> On Wed, Apr 15, 2015 at 7:35 AM, Neil Girdhar <mistersh...@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 >> > <sebast...@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" <mistersh...@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 >> >> > <n...@pobox.com> wrote: >> >> > On Tue, Apr 14, 2015 at 3:48 PM, Neil Girdhar >> >> > <mistersh...@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@scipy.org >> >> > >> >> > http://mail.scipy.org/mailman/listinfo/numpy-discussion >> >> > >> >> > >> >> > >> >> > >> >> > _______________________________________________ >> >> > NumPy-Discussion mailing list >> >> > NumPy-Discussion@scipy.org >> >> > http://mail.scipy.org/mailman/listinfo/numpy-discussion >> >> > >> >> > _______________________________________________ >> >> > NumPy-Discussion mailing list >> >> > NumPy-Discussion@scipy.org >> >> > http://mail.scipy.org/mailman/listinfo/numpy-discussion >> >> >> >> >> >> _______________________________________________ >> >> NumPy-Discussion mailing list >> >> NumPy-Discussion@scipy.org >> >> http://mail.scipy.org/mailman/listinfo/numpy-discussion >> >> >> > >> > >> > _______________________________________________ >> > NumPy-Discussion mailing list >> > NumPy-Discussion@scipy.org >> > 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 >> NumPy-Discussion@scipy.org >> http://mail.scipy.org/mailman/listinfo/numpy-discussion > > > > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@scipy.org > http://mail.scipy.org/mailman/listinfo/numpy-discussion > _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
