sympy.stats.Uniform() in Python

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 < +oo

Return : 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 = 0.3
a = -3
b = 4

# Using sympy.stats.Uniform() method
X = Uniform("x", a, b)
gfg = density(X)(z)

pprint(gfg)

Output :

1/7