Sympy stats.JointRV() in Python

With the help of sympy.stats.JointRV() method, we can get the continuous joint random variable which represents the Von Mises distribution.

Syntax : sympy.stats.JointRV(name, pdf)
Return : Return the continuous joint random variable.

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

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

z = Symbol("z")
pdf = 2 * pi * z

# Using sympy.stats.JointRV() method
X = JointRV("x", pdf)
gfg = density(X)

pprint(gfg)

Output :

JointDistributionHandmade(Lambda((), 2*pi*z), FiniteSet(()))

Example #2 :

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

z = 3
pdf = 2 * pi * z

# Using sympy.stats.JointRV() method
X = JointRV("x", pdf)
gfg = density(X)

pprint(gfg)

Output :

6*pi