ndarray の要素への代入

import numpy as np

a0 = np.zeros((2,6,8), dtype=np.float64)
x  = np.array([-2*x for x in range(1, 4)])                       # 1x3 の行列
y  = np.array([[-2*(i+j) for j in range(3)] for i in range(4)])  # 4x3 の行列

print('a0(繧ｪ繝ｪ繧ｸ繝翫Ν) = ', a0)
a0[1,1:4,3] = x
print('a0(x繧剃ｻ｣蜈･)    = ', a0)
a0[0,0:4,0:3] = y
print('a0(y繧剃ｻ｣蜈･)    = ', a0)

a0(オリジナル) =  
[[[ 0.  0.  0.  0.  0.  0.  0.  0.]
  [ 0.  0.  0.  0.  0.  0.  0.  0.]
  [ 0.  0.  0.  0.  0.  0.  0.  0.]
  [ 0.  0.  0.  0.  0.  0.  0.  0.]
  [ 0.  0.  0.  0.  0.  0.  0.  0.]
  [ 0.  0.  0.  0.  0.  0.  0.  0.]]

 [[ 0.  0.  0.  0.  0.  0.  0.  0.]
  [ 0.  0.  0.  0.  0.  0.  0.  0.]
  [ 0.  0.  0.  0.  0.  0.  0.  0.]
  [ 0.  0.  0.  0.  0.  0.  0.  0.]
  [ 0.  0.  0.  0.  0.  0.  0.  0.]
  [ 0.  0.  0.  0.  0.  0.  0.  0.]]]


a0(xを代入)    =
[[[ 0.  0.  0.  0.  0.  0.  0.  0.]
  [ 0.  0.  0.  0.  0.  0.  0.  0.]
  [ 0.  0.  0.  0.  0.  0.  0.  0.]
  [ 0.  0.  0.  0.  0.  0.  0.  0.]
  [ 0.  0.  0.  0.  0.  0.  0.  0.]
  [ 0.  0.  0.  0.  0.  0.  0.  0.]]

 [[ 0.  0.  0.  0.  0.  0.  0.  0.]
  [ 0.  0.  0. -2.  0.  0.  0.  0.]
  [ 0.  0.  0. -4.  0.  0.  0.  0.]
  [ 0.  0.  0. -6.  0.  0.  0.  0.]
  [ 0.  0.  0.  0.  0.  0.  0.  0.]
  [ 0.  0.  0.  0.  0.  0.  0.  0.]]]


a0(yを代入)    =  
[[[  0.  -2.  -4.   0.   0.   0.   0.   0.]
  [ -2.  -4.  -6.   0.   0.   0.   0.   0.]
  [ -4.  -6.  -8.   0.   0.   0.   0.   0.]
  [ -6.  -8. -10.   0.   0.   0.   0.   0.]
  [  0.   0.   0.   0.   0.   0.   0.   0.]
  [  0.   0.   0.   0.   0.   0.   0.   0.]]

 [[  0.   0.   0.   0.   0.   0.   0.   0.]
  [  0.   0.   0.  -2.   0.   0.   0.   0.]
  [  0.   0.   0.  -4.   0.   0.   0.   0.]
  [  0.   0.   0.  -6.   0.   0.   0.   0.]
  [  0.   0.   0.   0.   0.   0.   0.   0.]
  [  0.   0.   0.   0.   0.   0.   0.   0.]]]