Replacing sub array in Numpy array

[ThemePark]

Now it's on to multidimensional arrays.

The same rules are true for multidimensional cases.

import numpy as np
x=np.ones((2,2,2), dtype=np.float32)
z =  np.zeros((2,2,2), dtype=np.object)
z[0][0][0] = x
x[0][0][0] = 99
print(z)

Okay, truthfully I didn't realize you'd go that way. But what I mean by multidimensional arrays is that z[0][0][0] would not contain x, but x[0][0][0] and then the 99 would be shown in both arrays.

You can look at my other post too, it's the same problem I'm trying to solve.