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

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

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

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

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

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

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

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

RandomState.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