[Numpy-discussion] is it a bug?
Thu Mar 12 20:07:04 CDT 2009
On Thu, Mar 12, 2009 at 01:34, Stéfan van der Walt <firstname.lastname@example.org> wrote:
> 2009/3/12 Robert Kern <email@example.com>:
>>> idx = np.array([0,1])
>>> e = x[0,:,idx]
>>> print e.shape
>>> #-----> return (2,3). I think the right answer should be (3,2). Is
>>> # it a bug here? my numpy version is 1.2.1.
>> It's certainly weird, but it's working as designed. Fancy indexing via
>> arrays is a separate subsystem from indexing via slices. Basically,
>> fancy indexing decides the outermost shape of the result (e.g. the
>> leftmost items in the shape tuple). If there are any sliced axes, they
>> are *appended* to the end of that shape tuple.
> This was my understanding, but now I see:
> In : x = np.random.random([4,5,6,7])
> In : idx = np.array([1,2])
> In : x[:, idx, idx, :].shape
> Out: (4, 2, 7)
Hmm. Well, your guess is as good as mine at this point.
"I have come to believe that the whole world is an enigma, a harmless
enigma that is made terrible by our own mad attempt to interpret it as
though it had an underlying truth."
-- Umberto Eco
More information about the Numpy-discussion