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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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