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

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

numpy.random.multivariate_normal(mean, cov[, size]) Draw random samples from a multivariate normal distribution

numpy.random.lognormal(mean=0.0, sigma=1.0, size=None) Draw samples from a log-normal distribution. Draw samples

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

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

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

RandomState.noncentral_f(dfnum, dfden, nonc, size=None) Draw samples from the noncentral F distribution

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