How to eliminate a dummy dimension of ndarray?
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.
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.