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Dec 22, 2025
#hashmap
#frequency

49. Group Anagrams

Given an array of strings strs, group the anagrams together. You can return the answer in any order.

Example 1:

Input: strs = ["eat","tea","tan","ate","nat","bat"]

Output: [["bat"],["nat","tan"],["ate","eat","tea"]]

Explanation:

  • There is no string in strs that can be rearranged to form "bat".
    • The strings "nat" and "tan" are anagrams as they can be rearranged to form each other.
      • The strings "ate", "eat", and "tea" are anagrams as they can be rearranged to form each other.

        Example 2:

        Input: strs = [""]

        Output: [[""]]

        Example 3:

        Input: strs = ["a"]

        Output: [["a"]]

        • 1 <= strs.length <= 104
          • 0 <= strs[i].length <= 100
            • strs[i] consists of lowercase English letters.

              Constraints:

              Notes

              Intuition

              Anagrams have identical character frequencies. By using the frequency distribution as a key, all anagrams will hash to the same bucket.

              Implementation

              Use a hashmap where keys represent frequency distributions and values are lists of anagrams. For each string, build a 26-element frequency array. Use this as the key to group strings together. Finally, collect all the values from the map as the result.

              Edge-cases

              Python doesn't allow lists as dictionary keys. Convert the frequency array to a tuple or comma-separated string to make it hashable.

              • Time: O(n * k) — where n is the number of strings and k is the maximum string length
                • Space: O(n * k) — storing all strings in the hashmap

                  Complexity

                  Solution

                  1from typing import List 2class Solution: 3 def groupAnagrams(self, strs: List[str]) -> List[List[str]]: 4 map = {} 5 for s in strs: 6 freq = [0] * 26 7 for c in s: 8 freq[ord(c) - ord('a')] += 1 9 10 freq_str = ",".join([str(f) for f in freq]) 11 if freq_str in map: 12 map[freq_str].append(s) 13 else: 14 map[freq_str] = [s] 15 16 ans = [] 17 for key in map: 18 ans.append(map[key]) 19 20 return ans 21 22 23 24 25if __name__ == "__main__": 26 # Include one-off tests here or debugging logic that can be run by running this file 27 # e.g. print(solution.two_sum([1, 2, 3, 4], 3)) 28 solution = Solution() 29 print(solution.groupAnagrams(["eat", "tea", "tan", "ate", "nat", "bat"])) 30