sympy.stats.Weibull() in Python

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