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- numpy.random.Generator.binomial
...e structure Random sampling (numpy.random) Random Generator numpy.random.Generator.binomial...
- numpy.random.Generator.binomial (Python method, in numpy.random.Generator.binomial)
- C API for random
...uble mode, double right) npy_int64 random_poisson(bitgen_t *bitgen_state, double lam) npy_int64 random_negative_binomial(bitgen_t *bitgen_state, double n, double p) type binomial_t typedef struct s_binomial_t { int has_binomia...
- NumPy 1.16.4 Release Notes
...application of log to random floating point numbers, the stream may change when sampling from np.random.beta, np.random.binomial, np.random.laplace, np.random.logistic, np.random.logseries or np.random.multinomial if a 0 is generated in the...
- NumPy 1.17.0 Release Notes
...Due to bugs in the application of log to random floating point numbers, the stream may change when sampling from beta, binomial, laplace, logistic, logseries or multinomial if a 0 is generated in the underlying MT19937 random stream. Ther...
- NumPy 1.9.0 Release Notes
...ld be a deprecation involved, but no external code making use of the old baseclass could be found. Using numpy.random.binomial may change the RNG state vs. numpy < 1.9 A bug in one of the algorithms to generate a binomial random variate h...
- numpy.random.binomial
...ule structure Random sampling (numpy.random) Legacy random generation numpy.random.binomial...
- numpy.random.Generator.binomial
...e structure Random sampling (numpy.random) Random Generator numpy.random.Generator.binomial...
- numpy.random.Generator.hypergeometric
...ution describes the distribution of black balls in the drawn sample. Note that this distribution is very similar to the binomial distribution, except that in this case, samples are drawn without replacement, whereas in the Binomial case sam...
- numpy.random.Generator.multinomial
...one) Draw samples from a multinomial distribution. The multinomial distribution is a multivariate generalization of the binomial distribution. Take an experiment with one of p possible outcomes. An example of such an experiment is throwin...
- numpy.random.Generator.negative_binomial
...re Random sampling (numpy.random) Random Generator numpy.random.Generator.negative_binomial...
- numpy.random.Generator.poisson
...ator.poisson(lam=1.0, size=None) Draw samples from a Poisson distribution. The Poisson distribution is the limit of the binomial distribution for large N. Parameters: lamfloat or array_like of floatsExpected number of events occurring in...
- numpy.random.hypergeometric
...ution describes the distribution of black balls in the drawn sample. Note that this distribution is very similar to the binomial distribution, except that in this case, samples are drawn without replacement, whereas in the Binomial case sam...
- numpy.random.multinomial
...one) Draw samples from a multinomial distribution. The multinomial distribution is a multivariate generalization of the binomial distribution. Take an experiment with one of p possible outcomes. An example of such an experiment is throwin...
- numpy.random.negative_binomial
...ture Random sampling (numpy.random) Legacy random generation numpy.random.negative_binomial...
- numpy.random.poisson
...ndom.poisson(lam=1.0, size=None) Draw samples from a Poisson distribution. The Poisson distribution is the limit of the binomial distribution for large N. Note New code should use the poisson method of a Generator instance instead; please...
- numpy.random.RandomState.binomial
...e Random sampling (numpy.random) Legacy random generation numpy.random.RandomState.binomial...
- numpy.random.RandomState.hypergeometric
...ution describes the distribution of black balls in the drawn sample. Note that this distribution is very similar to the binomial distribution, except that in this case, samples are drawn without replacement, whereas in the Binomial case sam...
- numpy.random.RandomState.multinomial
...one) Draw samples from a multinomial distribution. The multinomial distribution is a multivariate generalization of the binomial distribution. Take an experiment with one of p possible outcomes. An example of such an experiment is throwin...
- numpy.random.RandomState.negative_binomial
...Random sampling (numpy.random) Legacy random generation numpy.random.RandomState.negative_binomial...
- numpy.random.RandomState.poisson
...tate.poisson(lam=1.0, size=None) Draw samples from a Poisson distribution. The Poisson distribution is the limit of the binomial distribution for large N. Note New code should use the poisson method of a Generator instance instead; please...
- numpy.random.Generator.negative_binomial (Python method, in numpy.random.Generator.negative_binomial)
- Performance