Transpose array and actually reorder memory

Question

I have a 3-D NumPy array, e.g.

a = np.random.random((2,3,5))

I would like to transpose the last two axes, i.e.

b = a.transpose(0,2,1)

However, I do not want a view with twiddled strides! I want to actually copy the array and reorder it in memory. What is the best way to achieve this?

Answer 1

The copy() method will reorder to C-contiguous order by default:

b = a.transpose(0,2,1).copy()