scipy.stats.sampling.NumericalInverseHermite.
rvs#
- NumericalInverseHermite.rvs(size=None, random_state=None)#
- Sample from the distribution. - Parameters:
- sizeint or tuple, optional
- The shape of samples. Default is - Nonein 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 - RandomStateinstance is used, seeded with random_state. If random_state is already a- Generatoror- RandomStateinstance then that instance is used.
 
- Returns:
- rvsarray_like
- A NumPy array of random variates.