The Python frozenset() function is used to handle immutable set data types. A commonly used set in Python is a collection that efficiently manages non-duplicating data. However, because a set is mutable, this mutability can cause problems in certain situations. To address these issues, frozenset was introduced. In this post, we will explore Python’s frozenset(), how it can be utilized, and what to keep in mind when using it.
Table of Contents
What is frozenset()?
frozenset() is an immutable set data type provided by Python. While its basic usage and properties are similar to set, unlike set, it cannot be modified after creation. This means that you cannot add or remove elements once a frozenset is created.
Basic Usage
frozenset() can be used in the following format:
fs = frozenset([1, 2, 3, 4])
print(fs)The result of this code will be shown in the following figure. frozenset() takes iterable objects such as lists, tuples, or strings and converts them into an immutable set.

Why frozenset() is Useful
A set is mutable, which means it cannot be hashed(unhashable). Being hashable means that a data type has a unique value and does not change, making it suitable for use as a dictionary key or as an element in other sets. In contrast, frozenset is immutable, so it is hashable and can be used as a dictionary key or a set element. Thanks to this property, frozenset enables more stable data management.
Key Methods of frozenset()
Although frozenset() is immutable and you cannot modify its data, it does offer several useful methods. These methods are the same as those provided by set:
union(): Union
The union operation combines two sets into a new one. You can use the union() method with frozenset as well.
fs1 = frozenset([1, 2, 3, 4])
fs2 = frozenset([3, 4, 5, 6])
result = fs1.union(fs2)
print(result)
union() methodintersection(): Intersection
An intersection returns the elements that are common between two sets.
fs1 = frozenset([1, 2, 3, 4])
fs2 = frozenset([2, 3, 4, 5, 6])
result = fs1.intersection(fs2)
print(result)
intersection() methoddifference(): Difference
The difference returns the elements from the first set that are not present in the second set.
fs1 = frozenset([1, 2, 3, 4])
fs2 = frozenset([2, 3, 4, 5])
result = fs1.difference(fs2)
print(result)
difference() methodissubset(), issuperset(): Subset and Superset
With frozenset(), you can check whether one set is a subset or a superset of another set.
fs1 = frozenset([1, 2])
fs2 = frozenset([1, 2, 3, 4, 5])
print(fs1.issubset(fs2))
print(fs2.issuperset(fs1))
issubset() and supersets with issuperset()Points of Caution
When using frozenset, there are several important points to keep in mind:
Immutability Limitations
Since frozenset is immutable, you cannot modify its values once it’s created. Therefore, if you need to add or remove data, you should not use frozenset. For instance, attempting to use the add() or remove() methods will result in an error.
Hashability
frozenset is hashable due to its immutability, which is advantageous in some cases. However, using frozenset may not always be appropriate. For example, if you frequently need to modify the data, frozenset can be cumbersome. In such cases, a mutable set is a better option.
Use Cases of frozenset()
frozenset can be effectively used in the following scenarios:
Using as a Dictionary Key
Since dictionary keys must be hashable, you can use a frozenset as a key instead of a mutable set.
my_dict = {frozenset([1, 2, 3]): "value"}
print(my_dict)
Using as an Element in Another Set
Because frozenset is hashable, it can be used as an element in another set.
nested_set = {frozenset([1, 2]), frozenset([3, 4])}
print(nested_set)
In this way, frozenset is highly useful when you need stable and immutable data management.
Summary
Python frozenset() is a handy tool in Python for providing an immutable set. While it has the limitation of being unmodifiable, it is highly useful when you need hashable and stable data management. It can be used as a dictionary key or as an element in a set, and it supports various set operations such as intersections, unions, and differences.
Therefore, when you don’t need to modify data, consider actively using frozenset. It can help prevent errors related to mutability and improve the overall stability of your code.