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.
# Import sympy and poisson from sympy.stats import Poisson, density, E, variance from sympy import Symbol, simplify # Using sympy.stats.Poisson() method rate = Symbol("lambda", positive = True) X = Poisson("x", rate) gfg = density(X)(4) print(gfg) |
Output :
lambda**4*exp(-lambda)/24
Example #2 :
# Import sympy and poisson from sympy.stats import Poisson, density, E, variance from sympy import Symbol, simplify # Using sympy.stats.Poisson() method rate = Symbol("lambda", positive = True) X = Poisson("x", rate) gfg = density(X)(6) print(gfg) |
Output :
lambda**6*exp(-lambda)/720