sympy.stats.ExGaussian() in python Last Updated : 05 Jun, 2020 Summarize Comments Improve Suggest changes Share Like Article Like Report With the help of sympy.stats.ExGaussian() method, we can get the continuous random variable representing the exponentially modified gaussian distribution. Syntax : sympy.stats.ExGaussian(name, mean, std, rate) Return : Return continuous random variable. Example #1 : In this example we can see that by using sympy.stats.ExGaussian() method, we are able to get the continuous random variable which represents the Exponentially modified Gaussian distribution by using this method. Python3 1=1 # Import sympy and ExGaussian from sympy.stats import ExGaussian, density from sympy import Symbol mean = Symbol("mean", integer = True, positive = True) std = Symbol("std", integer = True, positive = True) rate = Symbol("rate", integer = True, positive = True) z = Symbol("z") # Using sympy.stats.ExGaussian() method X = ExGaussian("x", mean, std, rate) gfg = density(X)(z) pprint(gfg) Output : / 2 \ rate*\2*mean + rate*std - 2*z/ ------------------------------- / ___ / 2 \\ 2 |\/ 2 *\mean + rate*std - z/| rate*e *erfc|----------------------------| \ 2*std / ------------------------------------------------------------------------ 2 Example #2 : Python3 1=1 # Import sympy and ExGaussian from sympy.stats import ExGaussian, density from sympy import Symbol mean = 22 std = 21 rate = 7 z = 0.4 # Using sympy.stats.ExGaussian() method X = ExGaussian("x", mean, std, rate) gfg = density(X)(z) pprint(gfg) Output : / ___\ 3.50044639861837e+4758*erfc\74.0142857142857*\/ 2 / Comment More infoAdvertise with us Next Article sympy.stats.ExGaussian() in python 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. 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