random.choice for 2D array, bigger numbbers with higher probability?

Is there a way to randomly pick n-items from every row in a 2D array with the higher probability picking the bigger values w/o using a LOOP

random.choice() works only for 1D array...

F.e. if i have :

 q = np.random.random((10,10))

i can pick the max-2 in every row like this :

  np.sort(q,axis=1)[:,-2:]

what I want instead is to pick randomly 2 not always the max, but with higher probability the bigger numbers..