Numpy: how delete rows common to 2 matrices

Question

problem is very simple: I have two 2d np.array and I want to get a third array that only contains the rows that are not in common with the latter twos.

for example:

X = np.array([[0,1],[1,2],[4,5],[5,6],[8,9],[9,10]])
Y = np.array([[5,6],[9,10]])

Z = function(X,Y)
Z = array([[0, 1],
          [1, 2],
          [4, 5],
          [8, 9]])

I tried np.delete(X,Y,axis=0) but it doesn't work...

Answer 1

Z = np.vstack(row for row in X if row not in Y)