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

RandomState.geometric(p, size=None) Draw samples from the geometric distribution. Bernoulli trials

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

RandomState.random_integers(low, high=None, size=None) Random integers of type np.int between low

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

numpy.random.logseries(p, size=None) Draw samples from a logarithmic series distribution. Samples are drawn from

numpy.random.get_state() Return a tuple representing the internal state of the generator. For more details, see

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