Владимир Куц

>>> a = numpy.array([0,1,1,0,1,1,1,0,0,1])
>>> numpy.sum(a==1)
6
>>> numpy.sum(a==0)
4

import numpy as np

A = [[1,2], [3,4]]

def pad_el(el): 
    return np.stack( 
        ( 
            np.zeros(3), 
            np.pad([el], 1, mode='constant'), 
            np.zeros(3) 
        ), axis=1)

out_array = []
for i in range(len(A)): 
    row = [] 
    for j in range(len(A[i])):
        if len(row) == 0:
            row = pad_el(A[i][j])
        else:
            row = np.block([row, pad_el(A[i][j])])
    if len(out_array) == 0:
        out_array = row
    else:
        out_array = np.vstack((out_array, row))
print(out_array)

[[0. 0. 0. 0. 0. 0.]
 [0. 1. 0. 0. 2. 0.]
 [0. 0. 0. 0. 0. 0.]
 [0. 0. 0. 0. 0. 0.]
 [0. 3. 0. 0. 4. 0.]
 [0. 0. 0. 0. 0. 0.]]

[[0. 0. 0. 0. 0. 0. 0. 0. 0.]
 [0. 1. 0. 0. 2. 0. 0. 3. 0.]
 [0. 0. 0. 0. 0. 0. 0. 0. 0.]
 [0. 0. 0. 0. 0. 0. 0. 0. 0.]
 [0. 3. 0. 0. 4. 0. 0. 5. 0.]
 [0. 0. 0. 0. 0. 0. 0. 0. 0.]
 [0. 0. 0. 0. 0. 0. 0. 0. 0.]
 [0. 6. 0. 0. 7. 0. 0. 8. 0.]
 [0. 0. 0. 0. 0. 0. 0. 0. 0.]]