[Numpy-discussion] bug in numpy.where?
Fri Jul 27 15:36:02 CDT 2012
On Fri, Jul 27, 2012 at 4:10 PM, Benjamin Root <firstname.lastname@example.org> wrote:
> On Fri, Jul 27, 2012 at 3:58 PM, Andreas Mueller <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.
> Ben Root
It may have something to do with the dtype size as well. The problem seen
net = np.zeros(3, dtype='>f4')
net = np.zeros(3, dtype='>f8')
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