working with 3-D Numpy array from PYTHON in MATLAB

I opened GRIB2 files as a 3-D Numpy array in python and I want to save the data in a .mat file so I can can use the data in my MATLAB model.

Assuming the 3-D Numpy array has a shape of (3, 2, 4), where the 3 is the depth, 2 is the row and 4 is the column.

I can save the data in .mat files using the command:

b = np.array([[[1,2,4,2],[3,4,6,0]],[[5,7,6,1],[7,8,0,9]], [[3,1,0,1],[1,0,5,9]]])

dict = {'B':b}

sio.savemat ('/Volumes/Converted files/test.mat',dict)

The challenge:

A 3-D array of (3,2,4) is read differently in MATLAB, it is interpreted as 3 = row, 2 = column and 4 = depth.

In MATLAB, the data should have the following form (2,4,3)

My question:

Please, how will I manipulate the data in MATLAB such that it will have same meaning ?

>> b(:,:,3) = [3,1,0,1; 1,0,5,9]

b(:,:,1) =

1 2 4 2

3 4 6 0

b(:,:,2) =

5 7 6 1

7 8 0 9

b(:,:,3) =

3 1 0 1

1 0 5 9

Thank you.

[Stephen23]

https://www.mathworks.com/help/matlab/ref/permute.html

[Telema Harry]

Thank you. This solved the problem