sympy.stats.Exponential() in python Last Updated : 05 Jun, 2020 Comments Improve Suggest changes Like Article Like Report 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. Python3 1=1 # 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 : Python3 1=1 # 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 Comment More infoAdvertise with us J jitender_1998 Follow Improve Article Tags : Python SymPy Python SymPy-Stats Practice Tags : python Similar Reads Python Tutorial - Learn Python Programming Language Python is one of the most popular programming languages. It’s simple to use, packed with features and supported by a wide range of libraries and frameworks. Its clean syntax makes it beginner-friendly. 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