sympy.stats.Laplace() in python
With the help of sympy.stats.Laplace()
method, we can get the continuous random variable which represents the laplace distribution.
Syntax : sympy.stats.Laplace(name, mu, b)
Where, mu and b are real number and mu, b > 0.
Return : Return the continuous random variable.
Example #1 :
In this example we can see that by using sympy.stats.Laplace()
method, we are able to get the continuous random variable representing laplace distribution by using this method.
from sympy.stats import Laplace, density
from sympy import Symbol, pprint
z = Symbol( "z" )
mu = Symbol( "mu" , positive = True )
b = Symbol( "b" , positive = True )
X = Laplace( "x" , mu, b)
gfg = density(X)(z)
pprint(gfg)
|
Output :
-|mu – z|
———-
b
e
———–
2*b
Example #2 :
from sympy.stats import Laplace, density
from sympy import Symbol, pprint
z = 0.6
mu = 2
b = 2.5
X = Laplace( "x" , mu, b)
gfg = density(X)(z)
pprint(gfg)
|
Output :
0.114241812769763
Last Updated :
05 Jun, 2020
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