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.
# 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
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