How can I reshape a 3D NumPy array into a 2D array, while utilizing the data along axis 2 to upscale? e.g. 3D array with shape [2,2,4]:
array_3d = [[[ 1 2 3 4]
[ 5 6 7 8]]
[[ 9 10 11 12]
[13 14 15 16]]]
reshape to 2D array with shape [4, 4]:
reshaped_array = [[ 1 2 5 6]
[ 3 4 7 8]
[ 9 10 13 14]
[11 12 15 16]]
I've attempted this approach:
reshaped_array = array_3d.swapaxes(1, 2).reshape(-1, array_3d.shape[1])
But I got:
[[ 1 5]
[ 2 6]
[ 3 7]
[ 4 8]
[ 9 13]
[10 14]
[11 15]
[12 16]]
