How to mirror a numpy matrix on y=-x axis?

Asked Jan 22 '19 at 21:35

Active Jan 22 '19 at 21:35

Viewed 92 times

Pretent I have a numpy array loaded with vectors as so:

import numpy as np

a = np.array([0, 1, 2, 3],
             [0, 0, 4, 5],
             [0, 0, 0, 6],
             [0, 0, 0, 0])

How can I mirror the array on y=-x axis to look as so?

>>a
[[0, 1, 2, 3],
 [1, 0, 4, 5],
 [2, 4, 0, 6],
 [3, 5, 6, 0]]

asked Jan 22 '19 at 21:35

callmeGuy

2

What, like `a + a.T`? – cs95 Jan 22 '19 at 21:36
coldspeed yes, like that. is it really a duplicate? either way, I would mark your answer as correct if posted as solution – callmeGuy Jan 22 '19 at 21:43
1

Yes, your question does not need the diagonal to be cleared but otherwise they are more or less the same. – cs95 Jan 22 '19 at 21:58

0 Answers0