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

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

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

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

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

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

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

numpy.random.normal(loc=0.0, scale=1.0, size=None) Draw random samples from a normal (Gaussian) distribution. The