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sympy.stats.Reciprocal() in Python

Last Updated : 08 Jun, 2020
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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 = 0.35
a = 1
b = 2
  
# Using sympy.stats.Reciprocal() method
X = Reciprocal("x", a, b)
gfg = density(X)(z)
  
print(gfg)


Output :

0.0861703622690834



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