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 = 2.1
xm = 1
alpha = 2.4
# Using sympy.stats.Pareto() method X = Pareto( "x" , xm, alpha)
gfg = density(X)(z)
pprint(gfg) |
Output :
0.192604149590925