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sympy.stats.Exponential() in python

Last Updated : 05 Jun, 2020
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With the help of sympy.stats.Exponential() method, we can get the continuous random variable representing the exponential distribution.

Syntax : sympy.stats.Exponential(name, rate)
Return : Return continuous random variable.

Example #1 :
In this example we can see that by using sympy.stats.Exponential() method, we are able to get the continuous random variable which represents the Exponential distribution by using this method.




# Import sympy and Exponential
from sympy.stats import Exponential, density
from sympy import Symbol
  
rate = Symbol("rate", integer = True, positive = True)
z = Symbol("z")
  
# Using sympy.stats.Exponential() method
X = Exponential("x", rate)
gfg = density(X)(z)
  
pprint(gfg)


Output :

-rate*z
rate*e

Example #2 :




# Import sympy and Exponential
from sympy.stats import Exponential, density
from sympy import Symbol
  
rate = 5
z = 0.5
  
# Using sympy.stats.Exponential() method
X = Exponential("x", rate)
gfg = density(X)(z)
  
pprint(gfg)


Output :

0.410424993119494


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