numpy.random.noncentral_chisquare(df, nonc, size=None) Draw samples from a noncentral chi-square distribution

RandomState.seed(seed=None) Seed the generator. This method is called when

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

numpy.random.ranf(size=None) Return random floats in the half-open interval [0.0, 1.0). Results are from the ?continuous

RandomState.normal(loc=0.0, scale=1.0, size=None) Draw random samples from a normal (Gaussian) distribution.

numpy.random.bytes(length) Return random bytes.

RandomState.rand(d0, d1, ..., dn) Random values in a given shape. Create an array of the given shape and

numpy.random.randn(d0, d1, ..., dn) Return a sample (or samples) from the ?standard normal? distribution. If positive

numpy.random.choice(a, size=None, replace=True, p=None) Generates a random sample from a given 1-D array

RandomState.power(a, size=None) Draws samples in [0, 1] from a power distribution with positive exponent a - 1