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 = 1.2a = 3 # Using sympy.stats.Maxwell() method X = Maxwell("x", a) gfg = density(X)(z) pprint(gfg) |
Output :
0.0492328718072872*\/ 2
————————
____
\/ pi
