In our last two examples, numpy assumed that a[0,:] was the first vector, a[1,:] the second, and a[2,:] the third. Numpy.cross has an optional argument axisa that allows us to specify which axis defines the vectors. So,
>>> a=np.array([[1,1,1],[0,1,0],[1,0,-1]])
>>> b=np.array([0...