With the help of sympy.stats.Gompertz()
method, we can get the continuous random variable representing the Gompertz distribution.
Syntax :
sympy.stats.Gompertz(name, b, eta)
Where, b and eta denotes the real number.
Return : Return continuous random variable.
Example #1 :
In this example we can see that by using sympy.stats.Gompertz()
method, we are able to get the continuous random variable which represents the Gompertz distribution by using this method.
# Import sympy and Gompertz from sympy.stats import Gompertz, density from sympy import Symbol b = Symbol( "b" , integer = True , positive = True ) eta = Symbol( "eta" , integer = True , positive = True ) z = Symbol( "z" ) # Using sympy.stats.Gompertz() method X = Gompertz( "x" , b, eta) gfg = density(X)(z) pprint(gfg) |
Output :
b*z
eta b*z -eta*e
b*eta*e *e *e
Example #2 :
# Import sympy and Gompertz from sympy.stats import Gompertz, density from sympy import Symbol b = 2 eta = 4 z = 2 # Using sympy.stats.Gompertz() method X = Gompertz( "x" , b, eta) gfg = density(X)(z) pprint(gfg) |
Output :
4
8 -4*e
8*e *e