With the help of sympy.stats.Pareto() method, we can get the continuous random variable which represents the Pareto distribution.
Syntax :
sympy.stats.Pareto(name, xm, alpha)
Where, xm and alpha are real number and xm, alpha > 0.
Return : Return the continuous random variable.
Example #1 :
In this example we can see that by using sympy.stats.Pareto() method, we are able to get the continuous random variable representing pareto distribution by using this method.
# Import sympy and Pareto from sympy.stats import Pareto, density from sympy import Symbol, pprint   z = Symbol("z") xm = Symbol("xm", positive = True) alpha = Symbol("alpha", positive = True)   # Using sympy.stats.Pareto() method X = Pareto("x", xm, alpha) gfg = density(X)(z)   pprint(gfg) |
Output :
alpha -alpha – 1
alpha*xm *z
Example #2 :
# Import sympy and Pareto from sympy.stats import Pareto, density from sympy import Symbol, pprint   z = 2.1xm = 1alpha = 2.4  # Using sympy.stats.Pareto() method X = Pareto("x", xm, alpha) gfg = density(X)(z)   pprint(gfg) |
Output :
0.192604149590925
