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 = 1.1mu = 0.5omega = 4  # Using sympy.stats.Nakagami() method X = Nakagami("x", mu, omega) gfg = density(X)(z)   pprint(gfg) |
Output :
0.342943855019384
