numpy.random.hypergeometric(ngood, nbad, nsample, size=None) Draw samples from a Hypergeometric distribution.

numpy.random.f(dfnum, dfden, size=None) Draw samples from an F distribution. Samples are drawn from an F distribution

numpy.random.vonmises(mu, kappa, size=None) Draw samples from a von Mises distribution. Samples are drawn from

RandomState.dirichlet(alpha, size=None) Draw samples from the Dirichlet distribution. Draw size

numpy.random.get_state() Return a tuple representing the internal state of the generator. For more details, see

RandomState.negative_binomial(n, p, size=None) Draw samples from a negative binomial distribution

RandomState.rayleigh(scale=1.0, size=None) Draw samples from a Rayleigh distribution. The

RandomState.choice(a, size=None, replace=True, p=None) Generates a random sample from a given 1-D array

numpy.random.standard_exponential(size=None) Draw samples from the standard exponential distribution.

numpy.random.logseries(p, size=None) Draw samples from a logarithmic series distribution. Samples are drawn from