RandomState.uniform(low=0.0, high=1.0, size=None) Draw samples from a uniform distribution. Samples are

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

RandomState.zipf(a, size=None) Draw samples from a Zipf distribution. Samples are drawn from a Zipf distribution

numpy.random.gamma(shape, scale=1.0, size=None) Draw samples from a Gamma distribution. Samples are drawn from a

RandomState.multinomial(n, pvals, size=None) Draw samples from a multinomial distribution. The multinomial

numpy.random.zipf(a, size=None) Draw samples from a Zipf distribution. Samples are drawn from a Zipf distribution

numpy.random.laplace(loc=0.0, scale=1.0, size=None) Draw samples from the Laplace or double exponential distribution with

RandomState.pareto(a, size=None) Draw samples from a Pareto II or Lomax distribution with specified shape.

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

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