numpy.random.random_integers(low, high=None, size=None) Random integers of type np.int between low

numpy.random.permutation(x) Randomly permute a sequence, or return a permuted range. If x is a

numpy.random.binomial(n, p, size=None) Draw samples from a binomial distribution. Samples are drawn from a binomial

class numpy.random.RandomState Container for the Mersenne Twister pseudo-random number generator.

RandomState.binomial(n, p, size=None) Draw samples from a binomial distribution. Samples are drawn from

numpy.random.triangular(left, mode, right, size=None) Draw samples from the triangular distribution. The triangular

RandomState.triangular(left, mode, right, size=None) Draw samples from the triangular distribution. The

numpy.random.randint(low, high=None, size=None, dtype='l') Return random integers from low (inclusive) to

RandomState.weibull(a, size=None) Draw samples from a Weibull distribution. Draw samples from a 1-parameter

numpy.random.random_sample(size=None) Return random floats in the half-open interval [0.0, 1.0). Results