RandomState.random_integers(low, high=None, size=None) Random integers of type np.int between low
RandomState.choice(a, size=None, replace=True, p=None) Generates a random sample from a given 1-D array
RandomState.negative_binomial(n, p, size=None) Draw samples from a negative binomial distribution
RandomState.rayleigh(scale=1.0, size=None) Draw samples from a Rayleigh distribution. The
RandomState.noncentral_chisquare(df, nonc, size=None) Draw samples from a noncentral chi-square
numpy.random.get_state() Return a tuple representing the internal state of the generator. For more details, see
RandomState.logseries(p, size=None) Draw samples from a logarithmic series distribution. Samples are
numpy.random.shuffle(x) Modify a sequence in-place by shuffling its contents.
numpy.random.standard_gamma(shape, size=None) Draw samples from a standard Gamma distribution. Samples are
numpy.random.standard_exponential(size=None) Draw samples from the standard exponential distribution.
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