What is the fastest way to put the first axis behind the last one? [numpy]

Question

Let us look at this stupid example with a N0 x N1 x ... x Nm dimensional array, such as

import numpy as np
x = np.random.random([N0,N1,...,Nm]) 

Now I want the N0 dimension to be behind the last one, i.e.

np.swapaxis np.swapaxis(np.swapaxis(x, 0,1),1,2) ... # swapping m times

I tried with np.rollaxis, but this seems to be the wrong function. In the end, I want to have an array with shape (N1,N2,N3,...,Nm,N0).

Any nice ideas?

Answer 1

I tried with np.rollaxis, but this seems to be the wrong function.

No, it's the right function.

x = numpy.rollaxis(x, 0, x.ndim)