What is the best way to create a view that is composed of sections of many different arrays?
For example, imagine I had a = np.array(range(0, 12)).reshape(3, 4) b = np.array(range(12, 24)).reshape(3, 4) c = np.array(range(24, 36)).reshape(3, 4) v = multiview((3, 4)) #the idea of the following lines is that the 0th row of v is #a view on the first row of a. the same would hold true for #the 1st and 2nd row of v and the 0th rows of b and c, respectively v[0] = a[0] v[1] = b[0] v[2] = c[0] #change the underlying arrays a[0, 0] = 50 b[0, 0] = 51 c[0, 0] = 52 #I would want all these assertions to pass because the view #refers to the rows of a, b and c assert v[0, 0] == 50 assert v[1, 0] == 51 assert v[2, 0] == 52 Is there any way to do this? Thanks, bill
_______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
