[Numpy-discussion] Operation over multiple axes? (Or: Partial flattening?)
Tue Jul 29 14:08:49 CDT 2008
On Tue, Jul 29, 2008 at 09:24, Hans Meine
> 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
Yes, yes, and yes.
"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
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