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

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

numpy.random.logistic(loc=0.0, scale=1.0, size=None) Draw samples from a logistic distribution. Samples are drawn

RandomState.hypergeometric(ngood, nbad, nsample, size=None) Draw samples from a Hypergeometric distribution

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

RandomState.random_sample(size=None) Return random floats in the half-open interval [0.0, 1.0). Results

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

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

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

numpy.random.standard_t(df, size=None) Draw samples from a standard Student?s t distribution with df degrees