With the help of sympy.stats.Uniform() method, we can get the continuous random variable which represents the Uniform distribution.
Syntax :
sympy.stats.Uniform(name, left, right)
Where, left and right are real number, -oo < left, left < right < +ooReturn : Return the continuous random variable.
Example #1 :
In this example we can see that by using sympy.stats.Uniform() method, we are able to get the continuous random variable representing Uniform distribution by using this method.
# Import sympy and Uniform from sympy.stats import Uniform, density from sympy import Symbol, pprint   z = Symbol("z") a = Symbol("a", positive = True) b = Symbol("b", positive = True)   # Using sympy.stats.Uniform() method X = Uniform("x", a, b) gfg = density(X)(z)   pprint(gfg) |
Output :
/ 1
|—— for And(b >= z, a <= z)
<-a + b
|
\ 0 otherwise
Example #2 :
# Import sympy and Uniform from sympy.stats import Uniform, density from sympy import Symbol, pprint   z = 0.3a = -3b = 4  # Using sympy.stats.Uniform() method X = Uniform("x", a, b) gfg = density(X)(z)   pprint(gfg) |
Output :
1/7
