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