sympy.stats.Rademacher() function in Python

sympy.stats.Rayleigh() in Python

Last Updated : 08 Jun, 2020

With the help of sympy.stats.Rayleigh() method, we can get the continuous random variable which represents the rayleigh distribution.

Syntax : sympy.stats.Rayleigh(name, sigma)
Where, sigma are real number and sigma > 0.

Return : Return the continuous random variable.

Example #1 :
In this example we can see that by using sympy.stats.Rayleigh() method, we are able to get the continuous random variable representing rayleigh distribution by using this method.

# Import sympy and Rayleigh 
from sympy.stats import Rayleigh, density 
from sympy import Symbol, pprint 
  
z = Symbol("z") 
sigma = Symbol("sigma", positive = True) 
  
# Using sympy.stats.Rayleigh() method 
X = Rayleigh("x", sigma) 
gfg = density(X)(z) 
  
pprint(gfg) 

Output :

2
-z
——–
2
2*sigma
z*e
———–
2
sigma

Example #2 :

# Import sympy and Rayleigh 
from sympy.stats import Rayleigh, density 
from sympy import Symbol, pprint 
  
z = 0.35
sigma = 2
  
# Using sympy.stats.Rayleigh() method 
X = Rayleigh("x", sigma) 
gfg = density(X)(z) 
  
pprint(gfg) 

Output :

0.0861703622690834

sympy.stats.Rademacher() function in Python

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