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. -- 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
