Numpy random choice of tuples

If you want to specifically sample without replacement, you can try:

import random
choices = ((0,0,0),(1,1,1),(2,2,2),(3,3,3))
random.sample(choices, 2)

Use choice to choose the 1dim indices into the array, then index it.

In the example you provided, only the number of possible choices affects the nature of the choice, not the actual values (0, 255). Choosing indices is the 1dim problem choice knows how to handle.

choices = numpy.array([[0,0,0],[255,255,255]])
idx = numpy.random.choice(len(choices),4)
choices[idx]

Just adding this answer to provide a non-numpy based answer:

choices = ((0,0,0),(255,255,255))

from random import choice

print tuple(choice(choices) for _ in range(4))