scipy.stats.rv_continuous() is a continuous random variable class which is meant for sub-classing. It is a base class for constructing specific distribution from continuous random variables. This class can't directly be used as a distribution.
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.Code #1 : Using "rv_continuous class".
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)
Output :
0.05399096651318806
