What is the efficient(probably vectorized with Matlab terminology) way to generate random number of zeros and ones with a specific proportion? Specially with Numpy?
As my case is special for 1/3, my code is:
import numpy as np  a=np.mod(np.multiply(np.random.randomintegers(0,2,size)),3)   But is there any built-in function that could handle this more effeciently at least for the situation of K/N where K and N are natural numbers?
Yet another approach, using np.random.choice:
>>> np.random.choice([0, 1], size=(10,), p=[1./3, 2./3]) array([0, 1, 1, 1, 1, 0, 0, 0, 0, 0]) 
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