import numpy as np

data = np.array([

    [[10, 10, 10], [0, 10, 10], [0, 10, 0]],

    [[20, 0, 20], [20, 20, 0], [0, 20, 20]],

    [[0, 30, 30], [30, 0, 30], [0, 30, 30]],

])

columns_to_replace = [0, 1]

value_to_replace = 1000

# Create a boolean mask for the zeros

mask = data[:, columns_to_replace, :] == 0

# Use the mask to replace the zeros with the desired value

data[:, columns_to_replace, :][mask] = value_to_replace

print(data)

[[[  10   10   10]

[1000   10   10]

[   0   10    0]]

[[  20 1000   20]

[  20   20 1000]

[   0   20   20]]

[[1000   30   30]

[  30 1000   30]

[   0   30   30]]]