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sympy.stats.Laplace() in python

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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



Last Updated : 05 Jun, 2020
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