RandomState.logistic(loc=0.0, scale=1.0, size=None) Draw samples from a logistic distribution. Samples

RandomState.poisson(lam=1.0, size=None) Draw samples from a Poisson distribution. The Poisson distribution

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

RandomState.standard_cauchy(size=None) Draw samples from a standard Cauchy distribution with mode =

RandomState.standard_gamma(shape, size=None) Draw samples from a standard Gamma distribution. Samples

numpy.random.gumbel(loc=0.0, scale=1.0, size=None) Draw samples from a Gumbel distribution. Draw samples from a

numpy.random.beta(a, b, size=None) Draw samples from a Beta distribution. The Beta distribution is a special case

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

RandomState.tomaxint(size=None) Random integers between 0 and sys.maxint, inclusive. Return

numpy.random.standard_normal(size=None) Draw samples from a standard Normal distribution (mean=0, stdev=1).