How to eliminate a dummy dimension of ndarray?

Question

How can I eliminate a dummy dimension in python numpy ndarray?
For example, suppose that A.shape = (0, 1325, 3),
then how can eliminate '0' dimension so that A.shape = (1325,3).

Both 'np.sqeeze(A)' or 'A.reshape(A.shape[1:])' don't work.

Answer 1

You can't eliminate that 0 dimension. A dimension of length 0 is not a "dummy" dimension. It really means length 0. Since the total number of elements in the array (which you can check with a.size ) is the product of the shape attribute, an array with shape (0, 1325, 3) contains 0 elements, while an array with shape (1325, 3) contains 3975 elements. If there was a way to eliminate the 0 dimension, where would that data come from?

If your array is supposed to contain data, then you probably need to look at how that array was created in the first place.