sympy.stats.Levy() in python

sympy.stats.Maxwell() in python

Last Updated : 05 Jun, 2020

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

Syntax : sympy.stats.Maxwell(name, a) Where, a is real number and a > 0. Return : Return the continuous random variable.

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

Python3 1=1

# Import sympy and Maxwell
from sympy.stats import Maxwell, density
from sympy import Symbol, pprint

z = Symbol("z")
a = Symbol("a", positive = True)

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

pprint(gfg)

Output :

2 -z ---- 2 ___ 2 2*a \/ 2 *z *e -------------- ____ 3 \/ pi *a

Example #2 :

Python3 1=1

# Import sympy and Maxwell
from sympy.stats import Maxwell, density
from sympy import Symbol, pprint

z = 1.2
a = 3

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

pprint(gfg)

Output :

0.0492328718072872*\/ 2 ------------------------ ____ \/ pi

sympy.stats.Levy() in python

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