针对以下问题的 numpy arrays 的迭代

Question

i have 3 numpy arrays a,c and m, i want a loop which takes every element from a,c,m in each loop. For example in first iteration it takes 4,3,6 and executes z=(a*2+c)%m five times then in second it takes 5,5,5 and execute same expression 5 times. i want random number generation. see code below

a = [[4, 5, 1], [4, 3, 1], [6, 7, 2]]

c = [[3, 5, 1], [4, 3, 1], [6, 7, 2]]

m = [[6, 5, 1], [4, 3, 1], [6, 7, 2]]

for i in range(0, 5):
    z = (a * 2 + c) % m

Answer 1

for i, j, k in zip(a, c, m):
    for l, n, o in zip(i, j, k):
        for i in range(0,5)
            z=(a*2+c)%m

Answer 2

it = np.nditer(a, flags=['multi_index'])
for x in it:
  print("%d%d%d "%(a[it.multi_index],c[it.multi_index],m[it.multi_index]))

Answer 3

I don't know the reason why you want to extract the elements from those matrix, this is a simple solution:

for i in range(a.shape[1]):
  for j in range(b.shape[0]):
    print([a[i,j], b[i,j], c[i,j]])

If you are interested in doing advanced operations with them like matrix multiplication,..., I recommend you to use the slice techniques offerd by Numpy.