diff options
Diffstat (limited to 'numpy')
| -rw-r--r-- | numpy/random/__init__.py | 62 | ||||
| -rw-r--r-- | numpy/random/info.py | 138 |
2 files changed, 55 insertions, 145 deletions
diff --git a/numpy/random/__init__.py b/numpy/random/__init__.py index 82aefce5f..965ab5ea9 100644 --- a/numpy/random/__init__.py +++ b/numpy/random/__init__.py @@ -6,17 +6,15 @@ Random Number Generation ==================== ========================================================= Utility functions ============================================================================== -random Uniformly distributed values of a given shape. +random_sample Uniformly distributed floats over ``[0, 1)``. +random Alias for `random_sample`. bytes Uniformly distributed random bytes. random_integers Uniformly distributed integers in a given range. -random_sample Uniformly distributed floats in a given range. -random Alias for random_sample -ranf Alias for random_sample -sample Alias for random_sample -choice Generate a weighted random sample from a given array-like permutation Randomly permute a sequence / generate a random sequence. shuffle Randomly permute a sequence in place. seed Seed the random number generator. +choice Random sample from 1-D array. + ==================== ========================================================= ==================== ========================================================= @@ -90,9 +88,55 @@ from __future__ import division, absolute_import, print_function import warnings -# To get sub-modules -from .info import __doc__, __all__ - +__all__ = [ + 'beta', + 'binomial', + 'bytes', + 'chisquare', + 'choice', + 'dirichlet', + 'exponential', + 'f', + 'gamma', + 'geometric', + 'get_state', + 'gumbel', + 'hypergeometric', + 'laplace', + 'logistic', + 'lognormal', + 'logseries', + 'multinomial', + 'multivariate_normal', + 'negative_binomial', + 'noncentral_chisquare', + 'noncentral_f', + 'normal', + 'pareto', + 'permutation', + 'poisson', + 'power', + 'rand', + 'randint', + 'randn', + 'random_integers', + 'random_sample', + 'rayleigh', + 'seed', + 'set_state', + 'shuffle', + 'standard_cauchy', + 'standard_exponential', + 'standard_gamma', + 'standard_normal', + 'standard_t', + 'triangular', + 'uniform', + 'vonmises', + 'wald', + 'weibull', + 'zipf' +] with warnings.catch_warnings(): warnings.filterwarnings("ignore", message="numpy.ndarray size changed") diff --git a/numpy/random/info.py b/numpy/random/info.py index be9c8d9bd..b9fd7f26a 100644 --- a/numpy/random/info.py +++ b/numpy/random/info.py @@ -1,139 +1,5 @@ -""" -======================== -Random Number Generation -======================== - -==================== ========================================================= -Utility functions -============================================================================== -random_sample Uniformly distributed floats over ``[0, 1)``. -random Alias for `random_sample`. -bytes Uniformly distributed random bytes. -random_integers Uniformly distributed integers in a given range. -permutation Randomly permute a sequence / generate a random sequence. -shuffle Randomly permute a sequence in place. -seed Seed the random number generator. -choice Random sample from 1-D array. - -==================== ========================================================= - -==================== ========================================================= -Compatibility functions -============================================================================== -rand Uniformly distributed values. -randn Normally distributed values. -ranf Uniformly distributed floating point numbers. -randint Uniformly distributed integers in a given range. -==================== ========================================================= - -==================== ========================================================= -Univariate distributions -============================================================================== -beta Beta distribution over ``[0, 1]``. -binomial Binomial distribution. -chisquare :math:`\\chi^2` distribution. -exponential Exponential distribution. -f F (Fisher-Snedecor) distribution. -gamma Gamma distribution. -geometric Geometric distribution. -gumbel Gumbel distribution. -hypergeometric Hypergeometric distribution. -laplace Laplace distribution. -logistic Logistic distribution. -lognormal Log-normal distribution. -logseries Logarithmic series distribution. -negative_binomial Negative binomial distribution. -noncentral_chisquare Non-central chi-square distribution. -noncentral_f Non-central F distribution. -normal Normal / Gaussian distribution. -pareto Pareto distribution. -poisson Poisson distribution. -power Power distribution. -rayleigh Rayleigh distribution. -triangular Triangular distribution. -uniform Uniform distribution. -vonmises Von Mises circular distribution. -wald Wald (inverse Gaussian) distribution. -weibull Weibull distribution. -zipf Zipf's distribution over ranked data. -==================== ========================================================= - -==================== ========================================================= -Multivariate distributions -============================================================================== -dirichlet Multivariate generalization of Beta distribution. -multinomial Multivariate generalization of the binomial distribution. -multivariate_normal Multivariate generalization of the normal distribution. -==================== ========================================================= - -==================== ========================================================= -Standard distributions -============================================================================== -standard_cauchy Standard Cauchy-Lorentz distribution. -standard_exponential Standard exponential distribution. -standard_gamma Standard Gamma distribution. -standard_normal Standard normal distribution. -standard_t Standard Student's t-distribution. -==================== ========================================================= - -==================== ========================================================= -Internal functions -============================================================================== -get_state Get tuple representing internal state of generator. -set_state Set state of generator. -==================== ========================================================= - -""" from __future__ import division, absolute_import, print_function -depends = ['core'] +from .. import __doc__ -__all__ = [ - 'beta', - 'binomial', - 'bytes', - 'chisquare', - 'choice', - 'dirichlet', - 'exponential', - 'f', - 'gamma', - 'geometric', - 'get_state', - 'gumbel', - 'hypergeometric', - 'laplace', - 'logistic', - 'lognormal', - 'logseries', - 'multinomial', - 'multivariate_normal', - 'negative_binomial', - 'noncentral_chisquare', - 'noncentral_f', - 'normal', - 'pareto', - 'permutation', - 'poisson', - 'power', - 'rand', - 'randint', - 'randn', - 'random_integers', - 'random_sample', - 'rayleigh', - 'seed', - 'set_state', - 'shuffle', - 'standard_cauchy', - 'standard_exponential', - 'standard_gamma', - 'standard_normal', - 'standard_t', - 'triangular', - 'uniform', - 'vonmises', - 'wald', - 'weibull', - 'zipf' -] +depends = ['core'] |