With the help of sympy.stats.Gumbel() method, we can get the continuous random variable which represents the gumbel distribution.
Syntax :
sympy.stats.Gumbel(name, beta, mu, minimum=False)
Where, If we set minimum is True than we can enable minimum distribution.
Return : Return the continuous random variable.
Example #1 :
In this example we can see that by using sympy.stats.Gumbel() method, we are able to get the continuous random variable representing gumbel distribution by using this method.
# Import sympy and gumbel from sympy.stats import Gumbel, density from sympy import Symbol, pprint   z = Symbol("z") mu = Symbol("mu") beta = Symbol("beta", positive = True)   # Using sympy.stats.Gumbel() method X = Gumbel("x", beta, mu) gfg = density(X)(z)   pprint(gfg) |
Output :
-(-mu + z)
———–
beta -mu + z
– e – ——-
beta
e
————————-
beta
Example #2 :
# Import sympy and gumbel from sympy.stats import Gumbel, density from sympy import Symbol, pprint   z = 0.4mu = 2beta = 4  # Using sympy.stats.Gumbel() method X = Gumbel("x", beta, mu) gfg = density(X)(z)   pprint(gfg) |
Output :
0.0839008899108612
