With the help of sympy.stats.ChiSquared() method, we can get the continuous random variable representing the chi-squared distribution.
Syntax :
sympy.stats.ChiSquared(name, k)
Return : Return the continuous random variable.
Example #1 :
In this example we can see that by using sympy.stats.ChiSquared() method, we are able to get the continuous random variable which represents the chi-squared distribution by using this method.
# Import sympy and chisquared from sympy.stats import ChiSquared, density from sympy import Symbol   k = Symbol("k", integer = True, positive = True) z = Symbol("z")   # Using sympy.stats.ChiSquared() method X = ChiSquared("x", k) gfg = density(X)(z)   pprint(gfg) |
Output :
-k k -z
— – – 1 —
2 2 2
2 *z *e
—————-
/k\
Gamma|-|
\2/
Example #2 :
# Import sympy and chisquared from sympy.stats import ChiSquared, density from sympy import Symbol   k = 3z = 2  # Using sympy.stats.ChiSquared() method X = ChiSquared("x", k) gfg = density(X)(z)   pprint(gfg) |
Output :
-1
e
——
____
\/ pi
