Robert Kern wrote:
> David Huard wrote:
>
>> Hi,
>>
>> Is there an elegant way to reduce an array but conserve the reduced
>> dimension ?
>>
>> Currently,
>> >>> a = random.random((10,10,10))
>> >>> a.sum(1).shape
>> (10,10)
>>
>> but i'd like to keep (10,1,10) so I can do a/a.sum(1) directly.
>>
>
> def nonreducing_reducer(reducing_func, arr, axis):
> reduced = reducing_func(arr, axis=axis)
> shape = list(reduced.shape)
> axis = axis % len(arr.shape)
> shape.insert(axis, 1)
> reduced.shape = tuple(shape)
> return reduced
>
>
> I think.
>
>
Alternatively (untested):
def nonreducing_reducer(reducing_func, arr, axis):
return reducing_func(arr.swapaxis(0, axis), axis=0)[newaxis].swapaxis(0,
axis)
Adding some vertical whitespace probably wouldn't hurt for readability I
suppose.
-tim
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