sympy.stats.Chi() in Python

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

Syntax : sympy.stats.Chi(name, k) Where, k is number of degree of freedom. Return : Return the continuous random variable.

Example #1 : In this example we can see that by using sympy.stats.Chi() method, we are able to get the continuous random variable representing the chi distribution by using this method. Python3 1=1

# Import sympy and chi
from sympy.stats import Chi, density, E
from sympy import Symbol, simplify

k = Symbol("k", integer = True)
z = Symbol("z")

# Using sympy.stats.Chi() method
X = Chi("x", k)
gfg = density(X)(z)

print(gfg)

Output :

2**(1 - k/2)*z**(k - 1)*exp(-z**2/2)/gamma(k/2)

Example #2 : Python3 1=1

# Import sympy and chi
from sympy.stats import Chi, density, E
from sympy import Symbol, simplify

k = 3
z = 2

# Using sympy.stats.Chi() method
X = Chi("x", k)
gfg = density(X)(z)

print(gfg)

Output :

4*sqrt(2)*exp(-2)/sqrt(pi)