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 = 2a = 3l = 4 # Using sympy.stats.Weibull() method X = Weibull("x", a, l) gfg = density(X)(z) pprint(gfg) |
Output :
-16
—-
81
32*e
——–
81
