nums.core.array.random module

class nums.core.array.random.NumsRandomState(cm, seed)[source]

Bases: object

beta(a, b, shape=None, block_shape=None, dtype=None)[source]

binomial(n, p, shape=None, block_shape=None, dtype=None)[source]

chisquare(df, shape=None, block_shape=None, dtype=None)[source]

exponential(scale=1.0, shape=None, block_shape=None, dtype=None)[source]

f(dfnum, dfden, shape=None, block_shape=None, dtype=None)[source]

gamma(k, theta, shape=None, block_shape=None, dtype=None)[source]

geometric(p, shape=None, block_shape=None, dtype=None)[source]

gumbel(loc=0.0, scale=1.0, shape=None, block_shape=None, dtype=None)[source]

hypergeometric(ngood, nbad, nsample, shape=None, block_shape=None, dtype=None)[source]

integers(low, high=None, shape=None, block_shape=None, dtype=None, endpoint=False)[source]

laplace(loc=0.0, scale=1.0, shape=None, block_shape=None, dtype=None)[source]

logistic(loc=0.0, scale=1.0, shape=None, block_shape=None, dtype=None)[source]

lognormal(mean=0.0, sigma=1.0, shape=None, block_shape=None, dtype=None)[source]

logseries(p, shape=None, block_shape=None, dtype=None)[source]

negative_binomial(n, p, shape=None, block_shape=None, dtype=None)[source]

noncentral_chisquare(df, nonc, shape=None, block_shape=None, dtype=None)[source]

noncentral_f(dfnum, dfden, nonc, shape=None, block_shape=None, dtype=None)[source]

normal(loc=0.0, scale=1.0, shape=None, block_shape=None, dtype=None)[source]

numpy()[source]

pareto(a, shape=None, block_shape=None, dtype=None)[source]

permutation(size, block_size)[source]

poisson(lam=1.0, shape=None, block_shape=None, dtype=None)[source]

power(a, shape=None, block_shape=None, dtype=None)[source]

random(shape=None, block_shape=None, dtype=None)[source]

rayleigh(scale=1.0, shape=None, block_shape=None, dtype=None)[source]

seed(seed=None)[source]

standard_cauchy(shape=None, block_shape=None, dtype=None)[source]

standard_t(df, shape=None, block_shape=None, dtype=None)[source]

triangular(left, mode, right, shape=None, block_shape=None, dtype=None)[source]

uniform(low=0.0, high=1.0, shape=None, block_shape=None, dtype=None)[source]

vonmises(mu, kappa, shape=None, block_shape=None, dtype=None)[source]

wald(mean, scale, shape=None, block_shape=None, dtype=None)[source]

weibull(a, shape=None, block_shape=None, dtype=None)[source]

zipf(a, shape=None, block_shape=None, dtype=None)[source]