I don't understand. Are you at pycon by any chance? On Wed, Apr 15, 2015 at 6:12 PM, <[email protected]> wrote:
> 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 >
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