sympy.stats.Coin() in Python

sympy.stats.Dagum() in python

Last Updated : 05 Jun, 2020

With the help of sympy.stats.Dagum() method, we can get the continuous random variable representing the dagum distribution.

Syntax : sympy.stats.Dagum(name, p, a, b) Where, p, a and b are real number greater than 0. Return : Return continuous random variable.

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

Python3 1=1

# Import sympy and Dagum
from sympy.stats import Dagum, density
from sympy import Symbol

p = Symbol("p", integer = True, positive = True)
a = Symbol("a", integer = True, positive = True)
b = Symbol("b", integer = True, positive = True)
z = Symbol("z")

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

pprint(gfg)

Output :

-p - 1 a*p / a \ /z\ |/z\ | a*p*|-| *||-| + 1| \b/ \\b/ / --------------------------- z

Example #2 :

Python3 1=1

# Import sympy and Dagum
from sympy.stats import Dagum, density
from sympy import Symbol

p = 3
a = 2
b = 5
z = 0.4

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

pprint(gfg)

Output :

3.83308692944853e-6

sympy.stats.Coin() in Python

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