With the help of sympy.stats.Triangular() method, we can get the continuous random variable which represents the triangular distribution.
Syntax :
sympy.stats.Triangular(name, a, b, c)
Where, a, b and c are real number.Return : Return the continuous random variable.
Example #1 :
In this example we can see that by using sympy.stats.Triangular() method, we are able to get the continuous random variable representing Triangular distribution by using this method.
# Import sympy and Triangular from sympy.stats import Triangular, density from sympy import Symbol, pprint   z = Symbol("z") a = Symbol("a", positive = True) b = Symbol("b", positive = True) c = Symbol("c", positive = True)   # Using sympy.stats.Triangular() method X = Triangular("x", a, b, c) gfg = density(X)(z)   pprint(gfg) |
Output :
/ -2*a + 2*z
|—————– for And(a z)
|(-a + b)*(-a + c)
|
| 2
| —— for c = z
= z, c < z)
|(-a + b)*(b – c)
|
\ 0 otherwise
Example #2 :
# Import sympy and Triangular from sympy.stats import Triangular, density from sympy import Symbol, pprint   z = 5a = 1.2b = 1.3c = 1.27  # Using sympy.stats.Triangular() method X = Triangular("x", a, b, c) gfg = density(X)(z)   pprint(gfg) |
Output :
0
