Assuming that I have the following matrix/array:
array([[0, 0, 1, 1, 1],
[0, 0, 1, 0, 1],
[1, 1, 0, 1, 1],
[1, 0, 1, 0, 0],
[1, 1
I found a solution to do what I want (though it is expensive):
a2 = deepcopy(a1)
first = randint(0, 5, 10)
second = randint(0, 5, 10)
for i in range(len(first)):
a = deepcopy(a2)
a2[first[i],:] = a[second[i],:]
a2[second[i],:] = a[first[i],:]
for i in range(len(first)):
a = deepcopy(a2)
a2[:,first[i]] = a[:,second[i]]
a2[:,second[i]] = a[:,first[i]]
Basically, I am doing 10 random switches. However, I need to copy the matrix many times. Anyway, a2 now represents a graph which is isomorphic with a1.