numpy.random.standard_normal(size=None) Draw samples from a standard Normal distribution (mean=0, stdev=1).
RandomState.tomaxint(size=None) Random integers between 0 and sys.maxint, inclusive. Return
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.beta(a, b, size=None) Draw samples from a Beta distribution. The Beta distribution is a special case
RandomState.logistic(loc=0.0, scale=1.0, size=None) Draw samples from a logistic distribution. Samples
RandomState.gamma(shape, scale=1.0, size=None) Draw samples from a Gamma distribution. Samples are drawn
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.random_sample(size=None) Return random floats in the half-open interval [0.0, 1.0). Results
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