numpy.random.gumbel(loc=0.0, scale=1.0, size=None) Draw samples from a Gumbel distribution. Draw samples from a

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

RandomState.tomaxint(size=None) Random integers between 0 and sys.maxint, inclusive. Return

RandomState.standard_gamma(shape, size=None) Draw samples from a standard Gamma distribution. Samples

numpy.random.set_state(state) Set the internal state of the generator from a tuple. For use if one has reason

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

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.geometric(p, size=None) Draw samples from the geometric distribution. Bernoulli trials are experiments

numpy.random.wald(mean, scale, size=None) Draw samples from a Wald, or inverse Gaussian, distribution. As the scale