Random sampling (dpnp.random)

Simple random data

dpnp.random.rand	Random values in a given shape.
dpnp.random.randn	Return a sample (or samples) from the "standard normal" distribution.
dpnp.random.randint	Return random integers from low (inclusive) to high (exclusive).
dpnp.random.random_integers	Random integers between low and high, inclusive.
dpnp.random.random_sample	Return random floats in the half-open interval [0.0, 1.0).
dpnp.random.random	Return random floats in the half-open interval [0.0, 1.0).
dpnp.random.ranf	Return random floats in the half-open interval [0.0, 1.0).
dpnp.random.sample	Return random floats in the half-open interval [0.0, 1.0).
dpnp.random.choice	Generates a random sample from a given 1-D array.
dpnp.random.bytes	Return random bytes.

Permutations

dpnp.random.shuffle	Modify a sequence in-place by shuffling its contents.
dpnp.random.permutation	Randomly permute a sequence, or return a permuted range.

Distributions

dpnp.random.beta	Draw samples from a Beta distribution.
dpnp.random.binomial	Draw samples from a binomial distribution.
dpnp.random.chisquare	Draw samples from a chi-square distribution.
dpnp.random.dirichlet	Draw samples from the Dirichlet distribution.
dpnp.random.exponential	Draw samples from an exponential distribution.
dpnp.random.f	Draw samples from an F distribution.
dpnp.random.gamma	Draw samples from a Gamma distribution.
dpnp.random.geometric	Draw samples from the geometric distribution.
dpnp.random.gumbel	Draw samples from a Gumbel distribution.
dpnp.random.hypergeometric	Draw samples from a Hypergeometric distribution.
dpnp.random.laplace	Draw samples from the Laplace or double exponential distribution with specified location (or mean) and scale (decay).
dpnp.random.logistic	Draw samples from a logistic distribution.
dpnp.random.lognormal	Draw samples from a log-normal distribution.
dpnp.random.logseries	Draw samples from a logarithmic series distribution.
dpnp.random.multinomial	Draw samples from a multinomial distribution.
dpnp.random.multivariate_normal	Draw random samples from a multivariate normal distribution.
dpnp.random.negative_binomial	Draw samples from a negative binomial distribution.
dpnp.random.noncentral_chisquare	Draw samples from a non-central chi-square distribution.
dpnp.random.noncentral_f	Draw samples from the non-central F distribution.
dpnp.random.normal	Draw random samples from a normal (Gaussian) distribution.
dpnp.random.pareto	Draw samples from a Pareto II or Lomax distribution with specified shape.
dpnp.random.poisson	Draw samples from a Poisson distribution.
dpnp.random.power	Draws samples in [0, 1] from a power distribution with positive exponent a - 1.
dpnp.random.rayleigh	Draw samples from a Rayleigh distribution.
dpnp.random.standard_cauchy	Draw samples from a standard Cauchy distribution with mode = 0.
dpnp.random.standard_exponential	Draw samples from the standard exponential distribution.
dpnp.random.standard_gamma	Draw samples from a standard Gamma distribution.
dpnp.random.standard_normal	Draw samples from a standard Normal distribution (mean=0, stdev=1).
dpnp.random.standard_t	Draw samples from a standard Student’s t distribution with df degrees of freedom.
dpnp.random.triangular	Draw samples from the triangular distribution over the interval [left, right].
dpnp.random.uniform	Draw samples from a uniform distribution.
dpnp.random.vonmises	Draw samples from a von Mises distribution.
dpnp.random.wald	Draw samples from a Wald, or inverse Gaussian, distribution.
dpnp.random.weibull	Draw samples from a Weibull distribution.
dpnp.random.zipf	Returns an array of samples drawn from the Zipf distribution.

Random generator

dpnp.random.RandomState	A container for the Mersenne Twister pseudo-random number generator.
dpnp.random.seed	Reseed a legacy MT19937 random number generator engine.