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# 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.

 `# 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 :

 `# 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

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