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For example, a matrix X

>>> X
array([[ 0,  1,  2,  3,  4],
       [ 5, -1,  7,  8,  9]])

what is the meaning of >>> X[None,:]

array([[[ 0,  1,  2,  3,  4],
        [ 5, -1,  7,  8,  9]]])

So, it changes the dimension of the matrix respect to the None axis? Am I right? Thanks for any help.

Improve this question
3
  • That's not a list. That's a NumPy array. Commented Aug 15, 2017 at 20:53
  • sorry for my mistake. It is a numpy array. Commented Aug 15, 2017 at 20:54
  • It adds a dimension. X is 2d (2,5); X[None, :, :] is 3d (1,2,5). Commented Aug 16, 2017 at 1:03
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