numpy.random.RandomState
========================
.. currentmodule:: numpy.random
.. autoclass:: RandomState
   :undoc-members:


Methods
-------
.. autosummary::
   :toctree:


   ~RandomState.beta
   ~RandomState.binomial
   ~RandomState.bytes
   ~RandomState.chisquare
   ~RandomState.choice
   ~RandomState.dirichlet
   ~RandomState.exponential
   ~RandomState.f
   ~RandomState.gamma
   ~RandomState.geometric
   ~RandomState.get_state
   ~RandomState.gumbel
   ~RandomState.hypergeometric
   ~RandomState.laplace
   ~RandomState.logistic
   ~RandomState.lognormal
   ~RandomState.logseries
   ~RandomState.multinomial
   ~RandomState.multivariate_normal
   ~RandomState.negative_binomial
   ~RandomState.noncentral_chisquare
   ~RandomState.noncentral_f
   ~RandomState.normal
   ~RandomState.pareto
   ~RandomState.permutation
   ~RandomState.poisson
   ~RandomState.power
   ~RandomState.rand
   ~RandomState.randint
   ~RandomState.randn
   ~RandomState.random_integers
   ~RandomState.random_sample
   ~RandomState.rayleigh
   ~RandomState.seed
   ~RandomState.set_state
   ~RandomState.shuffle
   ~RandomState.standard_cauchy
   ~RandomState.standard_exponential
   ~RandomState.standard_gamma
   ~RandomState.standard_normal
   ~RandomState.standard_t
   ~RandomState.tomaxint
   ~RandomState.triangular
   ~RandomState.uniform
   ~RandomState.vonmises
   ~RandomState.wald
   ~RandomState.weibull
   ~RandomState.zipf





Attributes
----------
.. autosummary::
  :toctree:


   ~RandomState.poisson_lam_max