Hashable composite keys using frozenset: Python code example

Python Frozenset Views Data Type: Exercise-9 with Solution

Write a Python program that uses a frozenset as a key in a dictionary to create a hashable composite key for more complex data structures.

Sample Solution:

Code:

def main():
    emp1 = {"name": "Bernardetta Frigg", "age": 20, "country": "Spain"}
    emp2 = {"name": "Fadhili Lilah", "age": 22, "country": "France"}
    emp3 = {"name": "Abbe Ivan", "age": 21, "country": "USA"}

    employees_data = {
        frozenset(emp1.items()): emp1,
        frozenset(emp2.items()): emp2,
        frozenset(emp3.items()): emp3
    }
    
    for key, value in employees_data.items():
        print("Key:", key)
        print("Value:", value)
        print()

if __name__ == "__main__":
    main()

Output:

Key: frozenset({('name', 'Bernardetta Frigg'), ('country', 'Spain'), ('age', 20)})
Value: {'name': 'Bernardetta Frigg', 'age': 20, 'country': 'Spain'}

Key: frozenset({('age', 22), ('country', 'France'), ('name', 'Fadhili Lilah')})
Value: {'name': 'Fadhili Lilah', 'age': 22, 'country': 'France'}

Key: frozenset({('country', 'USA'), ('age', 21), ('name', 'Abbe Ivan')})
Value: {'name': 'Abbe Ivan', 'age': 21, 'country': 'USA'}

In the exercise above, we have a dictionary 'employees_data' that uses frozenset instances as keys. Each frozenset key is created from the "items()" function of a dictionary representing employee data, where each employee's name, age and country are stored.

The program prints each key-value pair from the 'employees_data' dictionary. As a result of using frozenset keys, we create hashable composite keys that can uniquely identify complex data structures, such as dictionaries.

Flowchart:

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