brainpy.math.random: Random Number Generations

Random Sampling Functions

seed	Sets a new random seed.
split_key	Create a new seed from the current seed.
split_keys	Create multiple seeds from the current seed.
default_rng	rtype: RandomState
rand	Random values in a given shape.
randint	Return random integers from low (inclusive) to high (exclusive).
random_integers	Random integers of type np.int_ between low and high, inclusive.
randn	Return a sample (or samples) from the "standard normal" distribution.
random	Return random floats in the half-open interval [0.0, 1.0).
random_sample	Return random floats in the half-open interval [0.0, 1.0).
ranf	This is an alias of random_sample.
sample	This is an alias of random_sample.
choice	Generates a random sample from a given 1-D array
permutation	Randomly permute a sequence, or return a permuted range.
shuffle	Modify a sequence in-place by shuffling its contents.
beta	Draw samples from a Beta distribution.
exponential	Draw samples from an exponential distribution.
gamma	Draw samples from a Gamma distribution.
gumbel	Draw samples from a Gumbel distribution.
laplace	Draw samples from the Laplace or double exponential distribution with specified location (or mean) and scale (decay).
logistic	Draw samples from a logistic distribution.
normal	Draw random samples from a normal (Gaussian) distribution.
pareto	Draw samples from a Pareto II or Lomax distribution with specified shape.
poisson	Draw samples from a Poisson distribution.
standard_cauchy	Draw samples from a standard Cauchy distribution with mode = 0.
standard_exponential	Draw samples from the standard exponential distribution.
standard_gamma	Draw samples from a standard Gamma distribution.
standard_normal	Draw samples from a standard Normal distribution (mean=0, stdev=1).
standard_t	Draw samples from a standard Student's t distribution with df degrees of freedom.
uniform	Draw samples from a uniform distribution.
truncated_normal	Sample truncated standard normal random values with given shape and dtype.
bernoulli	Sample Bernoulli random values with given shape and mean.
lognormal	Draw samples from a log-normal distribution.
binomial	Draw samples from a binomial distribution.
chisquare	Draw samples from a chi-square distribution.
dirichlet	Draw samples from the Dirichlet distribution.
geometric	Draw samples from the geometric distribution.
f	Draw samples from an F distribution.
hypergeometric	Draw samples from a Hypergeometric distribution.
logseries	Draw samples from a logarithmic series distribution.
multinomial	Draw samples from a multinomial distribution.
multivariate_normal	Draw random samples from a multivariate normal distribution.
negative_binomial	Draw samples from a negative binomial distribution.
noncentral_chisquare	Draw samples from a noncentral chi-square distribution.
noncentral_f	Draw samples from the noncentral F distribution.
power	Draws samples in [0, 1] from a power distribution with positive exponent a - 1.
rayleigh	Draw samples from a Rayleigh distribution.
triangular	Draw samples from the triangular distribution over the interval [left, right].
vonmises	Draw samples from a von Mises distribution.
wald	Draw samples from a Wald, or inverse Gaussian, distribution.
weibull	Draw samples from a Weibull distribution.
weibull_min	Sample from a Weibull distribution.
zipf	Draw samples from a Zipf distribution.
maxwell	Sample from a one sided Maxwell distribution.
t	Sample Student’s t random values.
orthogonal	Sample uniformly from the orthogonal group O(n).
loggamma	Sample log-gamma random values.
categorical	Sample random values from categorical distributions.
rand_like	Similar to rand_like in torch.
randint_like	Similar to randint_like in torch.
randn_like	Similar to randn_like in torch.

Random Generator

RandomState	RandomState that track the random generator state.
Generator	alias of RandomState
DEFAULT	RandomState that track the random generator state.