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Wed, 08 Mar 2017 19:05:36 -0800

On Wed, Mar 8, 2017 at 9:48 PM, Juan Nunez-Iglesias <jni.s...@gmail.com>
wrote:

> I was a bit surprised to discover that both meshgrid nor mgrid return
> fully instantiated arrays, when simple broadcasting (ie with stride=0 for
> other axes) is functionally identical and happens much, much faster.
>
>

Take a look at ogrid:
https://docs.scipy.org/doc/numpy/reference/generated/numpy.ogrid.html

Warren


I wrote my own function to do this:
>
>
> *def broadcast_mgrid(arrays):*
> *    shape = tuple(map(len, arrays))*
> *    ndim = len(shape)*
> *    result = []*
> *    for i, arr in enumerate(arrays, start=1):*
> *        reshaped = np.broadcast_to(arr[[...] + [np.newaxis] * (ndim -
> i)],*
> *                                   shape)*
> *        result.append(reshaped)*
> *    return result*
>
>
> For even a modest-sized 512 x 512 grid, this version is close to 100x
> faster:
>
>
> *In [154]: %timeit th.broadcast_mgrid((np.arange(512), np.arange(512)))*
> *10000 loops, best of 3: 25.9 s per loop*
>
> *In [156]: %timeit np.meshgrid(np.arange(512), np.arange(512))*
> *100 loops, best of 3: 2.02 ms per loop*
>
> *In [157]: %timeit np.mgrid[:512, :512]*
> *100 loops, best of 3: 4.84 ms per loop*
>
>
> Is there a conscious design decision as to why this isnt what
> meshgrid/mgrid do already? Or would a PR be welcome to do this?
>
> Thanks,
>
> Juan.
>
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