scipy.stats.sampling.NumericalInversePolynomial.rvs#

NumericalInversePolynomial.rvs(size=None, random_state=None)#

Sample from the distribution.

Parameters:

sizeint or tuple, optional: The shape of samples. Default is None in which case a scalar sample is returned.
random_state{None, int, numpy.random.Generator,: numpy.random.RandomState}, optional

A NumPy random number generator or seed for the underlying NumPy random number generator used to generate the stream of uniform random numbers. If random_state is None (or np.random), random_state provided during initialization is used. If random_state is an int, a new RandomState instance is used, seeded with random_state. If random_state is already a Generator or RandomState instance then that instance is used.

Returns: