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.
# 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 :
# Import sympy and chi from sympy.stats import Chi, density, E from sympy import Symbol, simplify   k = 3z = 2  # Using sympy.stats.Chi() method X = Chi("x", k) gfg = density(X)(z)   print(gfg) |
Output :
4*sqrt(2)*exp(-2)/sqrt(pi)
