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sympy.stats.Logarithmic() in Python
• Last Updated : 08 Jun, 2020

With the help of `sympy.stats.Logarithmic()` method, we can get the random variable representing the logarithmic distribution.

Syntax : `sympy.stats.Logarithmic(name, p)`
Return : Return the random variable.

Example #1 :
In this example we can see that by using `sympy.stats.Logarithmic()` method, we are able to get the random variable representing the logarithmic distribution by using this method.

 `# Import sympy and logarithmic ` `from` `sympy.stats ``import` `Logarithmic, density, E, variance ` `from` `sympy ``import` `Symbol, S ` ` `  `p ``=` `S.One ``/` `5` ` `  `# Using sympy.stats.Logarithmic() method ` `X ``=` `Logarithmic(``"x"``, p) ` `gfg ``=` `density(X)(``3``) ` ` `  `print``(gfg) `

Output :

-1/(375*log(4/5))

Example #2 :

 `# Import sympy and logarithmic ` `from` `sympy.stats ``import` `Logarithmic, density, E, variance ` `from` `sympy ``import` `Symbol, S ` ` `  `p ``=` `0.46` ` `  `# Using sympy.stats.Logarithmic() method ` `X ``=` `Logarithmic(``"x"``, p) ` `gfg ``=` `density(X)(``4``) ` ` `  `print``(gfg) `

Output :

0.0181660042052665

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