sympy.stats.Nakagami() in python

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

Syntax : sympy.stats.Nakagami(name, mu, omega)
Where, mu and omega are real number and mu > 1/2, omega > 0.
Return : Return the continuous random variable.

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

# Import sympy and Nakagami
from sympy.stats import Nakagami, density
from sympy import Symbol, pprint

z = Symbol("z")
mu = Symbol("mu", positive = True)
omega = Symbol("omega", positive = True)

# Using sympy.stats.Nakagami() method
X = Nakagami("x", mu, omega)
gfg = density(X)(z)

pprint(gfg)

Output :

2
-mu*z
——-
mu -mu 2*mu – 1 omega
2*mu *omega *z *e
———————————-
Gamma(mu)

Example #2 :

# Import sympy and Nakagami
from sympy.stats import Nakagami, density
from sympy import Symbol, pprint

z = 1.1
mu = 0.5
omega = 4

# Using sympy.stats.Nakagami() method
X = Nakagami("x", mu, omega)
gfg = density(X)(z)

pprint(gfg)

Output :

0.342943855019384