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)
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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)
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Output :
0.0861703622690834