sympy.stats.Weibull() in Python

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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) 