For reasons, I need to work with arrays that can have zeros in their shapes. However, I am encountering an issue. Here's an example: import numpy as np arr = np.array([[]]) assert arr.shape == (1,0) arr.reshape((1,0)) # no problem (nothing changes) arr.reshape((-1,0)) # ValueError: cannot reshape array of size 0 into shape (0) I always thought that -1 for a reshape operation means the product of all the remaining dimensions, i.e. 1 in this case. Is this a bug or am I not understanding how this should work? Continue reading...
