With the help of sympy.stats.Trapezoidal() method, we can get the continuous random variable which represents the Trapezoidal distribution by using this method.
Syntax :
sympy.stats.Trapezoidal(name, a, b, c, d)
Where, a, b, c and d are real number.
Return : Return the continuous random variable.
Example #1 :
In this example we can see that by using sympy.stats.Trapezoidal() method, we are able to get the continuous random variable representing Trapezoidal distribution by using this method.
# Import sympy and Trapezoidal from sympy.stats import Trapezoidal, density from sympy import Symbol, pprint   z = Symbol("z") a = Symbol("a", positive = True) b = Symbol("b", positive = True) c = Symbol("c", positive = True) d = Symbol("d", positive = True)   # Using sympy.stats.Trapezoidal() method X = Trapezoidal("x", a, b, c, d) gfg = density(X)(z)   pprint(gfg) |
Output :
/ -2*a + 2*z
|————————- for And(a z)
|(-a + b)*(-a – b + c + d)
|
| 2
| ————– for And(b z)
= z, c <= z)
|(-c + d)*(-a – b + c + d)
|
\ 0 otherwise
Example #2 :
# Import sympy and Trapezoidal from sympy.stats import Trapezoidal, density from sympy import Symbol, pprint   z = 0.43a = 2b = 4c = 5d = 8  # Using sympy.stats.Trapezoidal() method X = Trapezoidal("x", a, b, c, d) gfg = density(X)(z)   pprint(gfg) |
Output :
0
