MatrixFlipper created by dubpirate - https://repl.it/@dubpirate/MatrixFlipper

main.py

import numpy as np

lmin = -3 # (0 - (layers/2 round down))
lmax = 3  # layers/2 round down

# Creates a 4x4 Matrix where every object is a tuple: (x, y) <- Tuple
matrix = np.zeros((4, 4), dtype=tuple)

# Fill the matrix with the tuples corrosponding to the x, y, values.
for x in range(0, 4):
  for y in range(0, 4):
    matrix[x][y] = (x, y)

# layer(matrix) draws the matrix in layers.
def layer(matrix):
  for layer in range(0, 7):
    vis = []
    #print("\n layer {0}".format(layer))
    x = min(layer, lmax)
    y = max(lmin + layer, 0)
    xto = y

    while x >= xto:
      vis.append(matrix[x][y])
      #print("Coords: {0}".format(matrix[x, y]))
      x -= 1
      y += 1

    print("Layer {0}: {1}".format(layer, vis))


print(" North:")
print("In Matrix form: \n{0}".format(matrix))
print("In layers: ")
layer(matrix)

print("\n East:")
matrix = np.rot90(matrix)
print("In Matrix form: \n{0}".format(matrix))
print("In layers: ")
layer(matrix)

print("\n South")
matrix = np.rot90(matrix)
print("In Matrix form: \n{0}".format(matrix))
print("In layers: ")
layer(matrix)

print("\n West")
matrix = np.rot90(matrix)
print("In Matrix form: \n{0}".format(matrix))
print("In layers: ")
layer(matrix)

Hello there! This is a gist of a program I wrote to rotate matrices that represent a game board for a project last year for my Computer Science Degree. In the end we didn't use python, but it was helpful to use numpy to visualise what was happening to the matrix as its rotated.