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

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

RandomState.chisquare(df, size=None) Draw samples from a chi-square distribution. When df

numpy.random.seed(seed=None) Seed the generator. This method is called when

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

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

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

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

RandomState.lognormal(mean=0.0, sigma=1.0, size=None) Draw samples from a log-normal distribution. Draw

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