numpy.random.beta¶

numpy.random.
beta
(a, b, size=None)¶ Draw samples from a Beta distribution.
The Beta distribution is a special case of the Dirichlet distribution, and is related to the Gamma distribution. It has the probability distribution function
where the normalization, B, is the beta function,
It is often seen in Bayesian inference and order statistics.
Note
New code should use the
beta
method of adefault_rng()
instance instead; see randomquickstart. Parameters
 afloat or array_like of floats
Alpha, positive (>0).
 bfloat or array_like of floats
Beta, positive (>0).
 sizeint or tuple of ints, optional
Output shape. If the given shape is, e.g.,
(m, n, k)
, thenm * n * k
samples are drawn. If size isNone
(default), a single value is returned ifa
andb
are both scalars. Otherwise,np.broadcast(a, b).size
samples are drawn.
 Returns
 outndarray or scalar
Drawn samples from the parameterized beta distribution.
See also
Generator.beta
which should be used for new code.