scipy stats.rv_continuous() | Python

Parameters : moment : [int] moment calculation to use: 0 for pdf, 1 for ppf. Default = 1 a : [float] Lower bound for distribution. Default is -ve infinity. b : [float] Upper bound for distribution. Default is +ve infinity. xtol : [float] tolerance for fixed point calculation for ppf name : [str] Name of the instance. Used to construct the default e.g. for distributions badvalue : [object] Default is np.nan. Value in a result arrays that indicates a value that for which some argument restriction is violated. logname : [str] Used as part of theFirst line of the docstring. extradoc : [str] Used as the last part of the docstring shapes : [str] Shape of the distribution. Return : Continuous Random Variable Distribution.

def sample(self, size = 1, random_state = None):
    
        """
        Return a sample from PDF - Probability Distribution Function.
        calling - rv_continuous class.

        """
        
        return self._rv.rvs(size = size, random_state = random_state) 

from scipy.stats import rv_continuous
import numpy as np

class gaussian_gen(rv_continuous):
    '''Gaussian distribution'''
    def _pdf(self, x):
        return np.exp(-x**2 / 2.) / np.sqrt(2.0 * np.pi)
    
gaussian = gaussian_gen(name = 'gaussian')

x = 2.0
gaussian._pdf(x)

0.05399096651318806