If you're looking for user input ... +1 on having a keepdims capability. I have myself implemented many such functions with a keepdims=1 keyword. No real preference on how it's impelemented, though the potential for breakage is a concern ...
Gary On Wed, 2 Apr 2008, Charles R Harris 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. > > Chuck > _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
