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sympy.stats.Logistic() in python

  • Last Updated : 05 Jun, 2020

With the help of sympy.stats.Logistic() method, we can get the continuous random variable which represents the logistic distribution.

Syntax : sympy.stats.Logistic(name, mu, s)
Where, mu and s are real number and mu, s > 0.
Return : Return the continuous random variable.

Example #1 :
In this example we can see that by using sympy.stats.Logistic() method, we are able to get the continuous random variable representing logistic distribution by using this method.




# Import sympy and Logistic
from sympy.stats import Logistic, density
from sympy import Symbol, pprint
  
z = Symbol("z")
mu = Symbol("mu", positive = True)
s = Symbol("s", positive = True)
  
# Using sympy.stats.Logistic() method
X = Logistic("x", mu, s)
gfg = density(X)(z)
  
pprint(gfg)

Output :



mu – z
——
s
e
—————-
2
/ mu – z \
| —— |
| s |
s*\e + 1/

Example #2 :




# Import sympy and Logistic
from sympy.stats import Logistic, density
from sympy import Symbol, pprint
  
z = 0.3
mu = 5
s = 1.3
  
# Using sympy.stats.Logistic() method
X = Logistic("x", mu, s)
gfg = density(X)(z)
  
pprint(gfg)

Output :

0.0196269669241977

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