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.
New code should use the
betamethod of a
default_rng()instance instead; see random-quick-start.
- 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), then
m * n * ksamples are drawn. If size is
None(default), a single value is returned if
bare both scalars. Otherwise,
np.broadcast(a, b).sizesamples are drawn.
- outndarray or scalar
Drawn samples from the parameterized beta distribution.
which should be used for new code.