normalize multi dimensional numpy array

I have the following numpy array :

A = np.array([[1,2,3,4,5],
             [15,25,35,45,55]])

I would like to create a new array with the same shape by dividing each dimension by the last element of the dimension

The output desired would be :

B = np.array([[0.2,0.4,0.6,0.8,1],
              [0.27272727,0.45454545,0.63636364,0.81818182,1]])

Any idea ?

>Solution :

You mean this?

B = np.array([[A[i][j]/A[i][len(A[i])-1] for j in range(0,len(A[i]))] for i in range(0,len(A))])