Permutation and Combination in Python

Python provides built-in methods to work with permutations and combinations using the itertools module. These are helpful in problems involving arrangement (order matters) and selection (order doesn’t matter) of elements.

Let's explore them one by one:

Permutation

A permutation is an arrangement of elements where the order matters. For example, (1, 2) and (2, 1) are two different permutations.
Python offers the permutations() method in the itertools module to generate these.

Example 1: Get All Permutations of a List

from itertools import permutations

perm = permutations([1, 2, 3])

for i in perm:
    print(i)

(1, 2, 3)
(1, 3, 2)
(2, 1, 3)
(2, 3, 1)
(3, 1, 2)
(3, 2, 1)

Explanation: permutations([1, 2, 3]) returns all possible orderings (3! = 6 permutations).

Example 2: Permutations of Specific Length

We can also generate permutations of a specific length r.

from itertools import permutations

perm = permutations([1, 2, 3], 2)

for i in perm:
    print(i)

(1, 2)
(1, 3)
(2, 1)
(2, 3)
(3, 1)
(3, 2)

Explanation: permutations([1, 2, 3], 2) returns 2-length ordered arrangements (nPr = 6).

Combination

A combination is a way to select elements where the order does not matter. For example, (1, 2) and (2, 1) are considered the same combination.
Python offers the combinations() method for this purpose.

Example 1: Get All Combinations of Length 2

from itertools import combinations

comb = combinations([1, 2, 3], 2)

for i in comb:
    print(i)

(1, 2)
(1, 3)
(2, 3)

Explanation:

• combinations([1, 2, 3], 2) returns all 2-element subsets without regard to order.
• Duplicates are avoided (e.g., (2,1) is not separate from (1,2)).

Example 2: Combinations from an Unsorted List 

from itertools import combinations

comb = combinations([2, 1, 3], 2)

for i in comb:
    print(i)

(2, 1)
(2, 3)
(1, 3)

Explanation:

• combinations([2, 1, 3], 2) preserves the input order in output combinations.
• Elements are treated uniquely based on their position in the list.

Example 5: Combinations with Repetition

Use combinations_with_replacement() to allow repeated elements in combinations.

from itertools import combinations_with_replacement

comb = combinations_with_replacement([1, 2, 3], 2)

for i in comb:
    print(i)

(1, 1)
(1, 2)
(1, 3)
(2, 2)
(2, 3)
(3, 3)

Explanation: combinations_with_replacement([1, 2, 3], 2) includes combinations like (1, 1), allowing repetition.

Related articles:

• itertools module
• lists

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Article Tags :

• Combinatorial
• Python
• DSA
• permutation

Practice Tags :

• Combinatorial
• permutation
• python