RandomState.vonmises(mu, kappa, size=None) Draw samples from a von Mises distribution. Samples are drawn
numpy.random.lognormal(mean=0.0, sigma=1.0, size=None) Draw samples from a log-normal distribution. Draw samples
RandomState.permutation(x) Randomly permute a sequence, or return a permuted range. If x
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
RandomState.standard_t(df, size=None) Draw samples from a standard Student?s t distribution with df
numpy.random.choice(a, size=None, replace=True, p=None) Generates a random sample from a given 1-D array
numpy.random.normal(loc=0.0, scale=1.0, size=None) Draw random samples from a normal (Gaussian) distribution. The
numpy.random.ranf(size=None) Return random floats in the half-open interval [0.0, 1.0). Results are from the ?continuous
Page 10 of 10