[Numpy-discussion] Operation over multiple axes? (Or: Partial flattening?)

Stéfan van der Walt stefan@sun.ac...
Tue Jul 29 14:47:52 CDT 2008

2008/7/29 Hans Meine <meine@informatik.uni-hamburg.de>:
> 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[3])).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
> docstring?

That's correct, and yes -- it should!  Would you like to document it
yourself?  If you register on


I'll give you editor's access.


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