[Numpy-discussion] summing over more than one axis
Thu Aug 19 09:57:19 CDT 2010
On Thu, Aug 19, 2010 at 10:12 AM, Angus McMorland <email@example.com> wrote:
> Another rank-generic approach is to use apply_over_axes (you get a
> different shape to the result this way):
> a = np.random.randint(20, size=(4,3,5))
> b = np.apply_over_axes(np.sum, a, [1,2]).flat
> assert( np.all( b == a.sum(axis=2).sum(axis=1) ) )
Thanks for the responses! This looks like what I've been looking for.
There's really a lot to numpy. It's very powerful and I feel like
I've only scratched the surface.
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