With the help of sympy.stats.Reciprocal() method, we can get the continuous random variable which represents the Reciprocal distribution.
Syntax :
sympy.stats.Reciprocal(name, a, b)
Where, a and b are real number and a, b > 0.Return : Return the continuous random variable.
Example #1 :
In this example we can see that by using sympy.stats.Reciprocal() method, we are able to get the continuous random variable representing reciprocal distribution by using this method.
# Import sympy and Reciprocal from sympy.stats import Reciprocal, density from sympy import Symbol, pprint z = Symbol("z") a = Symbol("a", positive = True) b = Symbol("b", positive = True) # Using sympy.stats.Reciprocal() method X = Reciprocal("x", a, b) gfg = density(X)(z) print(gfg) |
Output :
1/(x*(-log(a) + log(b)))
Example #2 :
# Import sympy and Reciprocal from sympy.stats import Reciprocal, density from sympy import Symbol, pprint z = 0.35a = 1b = 2 # Using sympy.stats.Reciprocal() method X = Reciprocal("x", a, b) gfg = density(X)(z) print(gfg) |
Output :
0.0861703622690834
