How to do weighted random sample of categories in python
This might do what you want:
numpy.array([.3,.4,.3]).cumsum().searchsorted(numpy.random.sample(5))
Since nobody used the numpy.random.choice function, here's one that will generate what you need in a single, compact line:
numpy.random.choice(['a','b','c'], size = 20, p = [0.3,0.4,0.3])
import numpyn = 1000pairs = [(.3, 'a'), (.3, 'b'), (.4, 'c')]probabilities = numpy.random.multinomial(n, zip(*pairs)[0])result = zip(probabilities, zip(*pairs)[1])# [(299, 'a'), (299, 'b'), (402, 'c')][x[0] * x[1] for x in result]# ['aaaaaaaaaa', 'bbbbbbbbbbbbbbbbbbb', 'cccccccccccccccccccc']How exactly would you like to receive the results?