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# sympy.stats.Weibull() in Python

• Last Updated : 08 Jun, 2020

With the help of `sympy.stats.Weibull()` method, we can get the continuous random variable which represents the Weibull distribution.

Syntax : `sympy.stats.Weibull(name, alpha, beta)`
Where, alpha and beta are real number.

Return : Return the continuous random variable.

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

 `# Import sympy and Weibull``from` `sympy.stats ``import` `Weibull, density``from` `sympy ``import` `Symbol, pprint`` ` `z ``=` `Symbol(``"z"``)``a ``=` `Symbol(``"a"``, positive ``=` `True``)``l ``=` `Symbol(``"l"``, positive ``=` `True``)`` ` `# Using sympy.stats.Weibull() method``X ``=` `Weibull(``"x"``, a, l)``gfg ``=` `density(X)(z)`` ` `pprint(gfg)`

Output :

l
/z\
l – 1 -|-|
/z\ \a/
l*|-| *e
\a/
—————–
a

Example #2 :

 `# Import sympy and Weibull``from` `sympy.stats ``import` `Weibull, density``from` `sympy ``import` `Symbol, pprint`` ` `z ``=` `2``a ``=` `3``l ``=` `4`` ` `# Using sympy.stats.Weibull() method``X ``=` `Weibull(``"x"``, a, l)``gfg ``=` `density(X)(z)`` ` `pprint(gfg)`

Output :

-16
—-
81
32*e
——–
81

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