ValueError: array is not broadcastable to correct shape

Question

I am probably missing something obvious but I am stuck on this:

Inside ipdb session I was able to reduce my problem to this:

ipdb> type(scores)
<class 'numpy.matrixlib.defmatrix.matrix'>
ipdb> scores.shape
(23073, 50)
ipdb> scores[np.arange(scores.shape[0]), np.zeros(scores.shape[0], dtype=np.int)] += 10
*** ValueError: array is not broadcastable to correct shape
ipdb> scores.dtype
dtype('float64')

I was not able to reproduce this problem with at simple example:

In [24]: a = np.matrix(np.zeros((6,4))
)

In [25]: a[np.arange(a.shape[0]), np.zeros(a.shape[0], dtype=np.int)] += 10

In [26]: a
Out[26]: 
matrix([[ 10.,   0.,   0.,   0.],
        [ 10.,   0.,   0.,   0.],
        [ 10.,   0.,   0.,   0.],
        [ 10.,   0.,   0.,   0.],
        [ 10.,   0.,   0.,   0.],
        [ 10.,   0.,   0.,   0.]])

In [27]: a.dtype
Out[27]: dtype('float64')

Any ideas what could be going on? What should I check?

Are you trying to add 10 to the first column? Try a[:,0] += 10. — Kyler Brown
– Kyler Brown, Commented Mar 11, 2015 at 16:17
I was trying to do something more complicated, I just kept simplifying and go the this. — Akavall
– Akavall, Commented Mar 11, 2015 at 16:18

Akavall · Accepted Answer · 2015-03-11 16:20:57Z

1

OK, I figured it out. On my local (simple example) I have numpy 1.9.0 and on remote (ipdb session) I have numpy 1.8.1

edited Mar 11, 2015 at 16:20

answered Mar 11, 2015 at 16:15

Akavall

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