gemseo.uncertainty.distributions.scipy.uniform module#

The SciPy-based uniform distribution.

class SPUniformDistribution(minimum=0.0, maximum=1.0, settings=None)[source]#

Bases: SPDistribution

The SciPy-based uniform distribution.

Examples

>>> from gemseo.uncertainty.distributions.scipy.distribution import (
...     SPDistribution,
... )
>>> distribution = SPDistribution("expon", {"loc": 3, "scale": 1 / 2.0})
>>> print(distribution)
expon(loc=3, scale=0.5)

Initialize self. See help(type(self)) for accurate signature.

Parameters:

  • minimum (float) --

    The minimum of the uniform random variable.

    By default it is set to 0.0.

  • maximum (float) --

    The maximum of the uniform random variable.

    By default it is set to 1.0.

  • settings (SPUniformDistribution_Settings | None) -- The settings of the distributions. If set, the other arguments are ignored. If None, the other arguments are used instead.

Settings#

alias of SPUniformDistribution_Settings