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

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

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

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

RandomState.multivariate_normal(mean, cov[, size]) Draw random samples from a multivariate normal

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

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

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

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