On undefined, Charles R Harris <[EMAIL PROTECTED]> wrote: > > On Wed, Apr 2, 2008 at 4:30 PM, Robert Kern <[EMAIL PROTECTED]> wrote: > > > > On undefined, Charles R Harris <[EMAIL PROTECTED]> wrote: > > > Hi All, > > > > > > I think it would enhance broadcasting if functions like sum, mean, etc > > > didn't change the number of dimensions. For example, suppose one wanted > to > > > subtract the mean along dimension 2 from the same axis of the original > > > array, then something like > > > > > > In [44]: a = ones((2,3,4,5)) > > > > > > In [45]: a -= a.mean(2) > > > > > > would do the trick. Similar modifications might also suit functions of > the > > > argmax, argmin, argsort type and allow a common argtake function that > would > > > allow one to take along a specified axis, making easy something that is > > > somewhat complicated at the moment. > > > > > > The main drawback that I see is that scalars would no longer be 0D, but > that > > > could be special cased as scalars will broadcast correctly no matter the > > > ndim. > > > > -1 > > > > I really don't want to see this amount of code breakage, even in 1.1. > > Add another keyword argument if you wish, but don't break the current > > API. > > Apart from that, what do you think of the idea? I currently spend more > effort than I like doing newaxis magic.
It's fine. I don't encounter the use case all that frequently, so personally, I want it as new functionality rather than changing the old functionality. -- Robert Kern "I have come to believe that the whole world is an enigma, a harmless enigma that is made terrible by our own mad attempt to interpret it as though it had an underlying truth." -- Umberto Eco _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
