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 = 0.35sigma = 2  # Using sympy.stats.Rayleigh() method X = Rayleigh("x", sigma) gfg = density(X)(z)   pprint(gfg) |
Output :
0.0861703622690834
