Numpy use one array as mask for another array

I am trying to do these steps in NumPy. It was easy to do this with python list sort(), and argsort().

How do I do this in Numpy?

a = np.array([10,30,20,40,50])a_sorted = np.array([10,20,30,40,50])

Get mask of a_sorted

b = np.array(['one','three','two','four','five'])

Apply the mask to b

Expected array sorted according to a_sorted:

b_sorted = np.array(['one','two','three','four','five'])