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.
# Import sympy and Laplace from sympy.stats import Laplace, density
from sympy import Symbol, pprint
z = Symbol("z")
mu = Symbol("mu", positive = True)
b = Symbol("b", positive = True)
# Using sympy.stats.Laplace() method X = Laplace("x", mu, b)
gfg = density(X)(z)
pprint(gfg) |
Output :
-|mu – z|
———-
b
e
———–
2*b
Example #2 :
# Import sympy and Laplace from sympy.stats import Laplace, density
from sympy import Symbol, pprint
z = 0.6
mu = 2
b = 2.5
# Using sympy.stats.Laplace() method X = Laplace("x", mu, b)
gfg = density(X)(z)
pprint(gfg) |
Output :
0.114241812769763