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sympy.stats.Zeta() in Python

sympy.stats.Uniform() in Python

Last Updated : 08 Jun, 2020

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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

sympy.stats.Zeta() in Python

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Jitender_1998

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Article Tags :

Python
Python SymPy-Stats
SymPy

Practice Tags :

python

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