sympy.stats.Poisson() in Python
Last Updated :
13 May, 2022
With the help of sympy.stats.Poisson()
method, we can get the random variable representing the poisson distribution.
Syntax : sympy.stats.Poisson(name, lambda)
Return : Return the random variable.
Example #1 :
In this example we can see that by using sympy.stats.Poisson()
method, we are able to get the random variable representing poisson distribution by using this method.
from sympy.stats import Poisson, density, E, variance
from sympy import Symbol, simplify
rate = Symbol( "lambda" , positive = True )
X = Poisson( "x" , rate)
gfg = density(X)( 4 )
print (gfg)
|
Output :
lambda**4*exp(-lambda)/24
Example #2 :
from sympy.stats import Poisson, density, E, variance
from sympy import Symbol, simplify
rate = Symbol( "lambda" , positive = True )
X = Poisson( "x" , rate)
gfg = density(X)( 6 )
print (gfg)
|
Output :
lambda**6*exp(-lambda)/720
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