Explain this 4D numpy array indexing intuitively

Question

x = np.random.randn(4, 3, 3, 2)
print(x[1,1])

output:
[[ 1.68158825 -0.03701415]
[ 1.0907524  -1.94530359]
[ 0.25659178  0.00475093]]

I am python n

Answer 1

A 2D array is a matrix : an array of arrays.

A 4D array is basically a matrix of matrices:

Specifying one index gives you an array of matrices:

>>> x[1]
array([[[-0.37387191, -0.19582887],
        [-2.88810217, -0.8249608 ],
        [-0.46763329,  1.18628611]],

       [[-1.52766397, -0.2922034 ],
        [ 0.27643125, -0.87816021],
        [-0.49936658,  0.84011388]],

       [[ 0.41885001,  0.16037164],
        [ 1.21510322,  0.01923682],
        [ 0.96039904, -0.22761806]]])

Specifying two indices gives you a matrix:

>>> x[1, 1]
array([[-1.52766397, -0.2922034 ],
       [ 0.27643125, -0.87816021],
       [-0.49936658,  0.84011388]])

Specifying three indices gives you an array:

>>> x[1, 1, 1]
array([ 0.27643125, -0.87816021])

Specifying four indices gives you a single element:

>>> x[1, 1, 1, 1]
-0.87816021212791107

x[1,1] gives you the small matrix that was saved in the 2nd column of the 2nd row of the large matrix.