[Numpy-discussion] Operation over multiple axes? (Or: Partial flattening?)
Tue Jul 29 09:24:27 CDT 2008
On Dienstag 29 Juli 2008, Stéfan van der Walt wrote:
> > One way to achieve this is partial flattening, which I did like this:
> > dat.reshape((numpy.prod(dat.shape[:3]), dat.shape)).sum(0)
> > Is there a more elegant way to do this?
> That looks like a good way to do it. You can clean it up ever so slightly:
> x.reshape([-1, x.shape[-1]]).sum(axis=0)
Thanks, that looks more elegant indeed. I am not sure if I've read about -1
in shapes before. I assume it represents "the automatically determined rest"
and may only appear once? Should this be documented in the reshape
Ciao, / / .o.
/ / ANS ooo
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