The question is the inverse of this question. I\'m looking for a generic method to from the original big array from small arrays:
array([[[ 0, 1, 2],
Here is a solution that one can use if someone is wishing to create tiles of a matrix:
from itertools import product
import numpy as np
def tiles(arr, nrows, ncols):
"""
If arr is a 2D array, the returned list contains nrowsXncols numpy arrays
with each array preserving the "physical" layout of arr.
When the array shape (rows, cols) are not divisible by (nrows, ncols) then
some of the array dimensions can change according to numpy.array_split.
"""
rows, cols = arr.shape
col_arr = np.array_split(range(cols), ncols)
row_arr = np.array_split(range(rows), nrows)
return [arr[r[0]: r[-1]+1, c[0]: c[-1]+1]
for r, c in product(row_arr, col_arr)]