[Numpy-discussion] bug in numpy.where?
Fri Jul 27 15:21:08 CDT 2012
On 07/27/2012 09:10 PM, Benjamin Root wrote:
> On Fri, Jul 27, 2012 at 3:58 PM, Andreas Mueller
> <firstname.lastname@example.org <mailto:email@example.com>> wrote:
> Hi Everybody.
> The bug is that no error is raised, right?
> The docs say
> where(condition, [x, y])
> x, y : array_like, optional
> Values from which to choose. `x` and `y` need to have the same
> shape as `condition`
> In the example you gave, x was a scalar.
> Hmm, that is incorrect, I believe. I have used a scalar before.
> Maybe it works because a scalar is broadcastable to the same shape as
> any other N-dim array?
> If so, then the wording of that docstring needs to be fixed.
> No, I think Christopher hit it on the head. For whatever reason, the
> endian-ness somewhere is not being respected and causes a byte-swapped
> version to show up. How that happens, though, is beyond me.
Well, if you use np.repeat(max_net, 3) instead of max_net, it works as
So if you use the function as documented, it does the right thing.
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