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