Description

Given a string s, sort it in decreasing order based on the frequency of the characters. The frequency of a character is the number of times it appears in the string.

Return the sorted string. If there are multiple answers, return any of them.

Example 1:

Input: s = “tree” Output: “eert” Explanation: ‘e’ appears twice while ‘r’ and ‘t’ both appear once. So ‘e’ must appear before both ‘r’ and ‘t’. Therefore “eetr” is also a valid answer.

Example 2:

Input: s = “cccaaa” Output: “aaaccc” Explanation: Both ‘c’ and ‘a’ appear three times, so both “cccaaa” and “aaaccc” are valid answers. Note that “cacaca” is incorrect, as the same characters must be together.

Example 3:

Input: s = “Aabb” Output: “bbAa” Explanation: “bbaA” is also a valid answer, but “Aabb” is incorrect. Note that ‘A’ and ‘a’ are treated as two different characters.

Constraints:

  • 1 <= s.length <= 5 * 105
  • s consists of uppercase and lowercase English letters and digits.

Code

Sorting

Time Complexity: , Space Complexity:

class Solution {
public:
    string frequencySort(string s) {
       unordered_map<char, int> m;
       for(auto c: s) {
           m[c]++;
       } 
 
       sort(s.begin(), s.end(), [&](const char& a, const char& b) {return m[a] == m[b] ? a < b : m[a] > m[b];});
 
       return s;
    }
};

frequency 相同時,字母順序沒有規定。

但是不能寫成以下的形式,反例:s = "aaaolol",當 o, l 頻率相同時,下面的寫法就不會將他們交換位置,就會返回 s = "aaaolol",但是我們期望的是 s = "aaaooll" 或是 s = "aaalloo"

sort(s.begin(), s.end(), [&](const char& a, const char& b) {return m[a] > m[b];});

Sorting (Bucket Sort)

Time Complexity: , Space Complexity:

class Solution {
public:
    string frequencySort(string s) {
        int n = s.size();
        vector<vector<char>> bucket(n + 1);
        unordered_map<char, int> mp;
        for(auto ch: s) {
            mp[ch]++;
        }
 
        for(auto it = mp.begin(); it != mp.end(); it++) {
            bucket[it->second].push_back(it->first);
        }
 
        string answer = "";
        for(int freq = n; freq >= 1; freq--) {
            for(char c: bucket[freq]) {
                answer.append(freq, c);
            }
        }
 
        return answer;
 
    }
};

Heap

類似 Top K Frequent WordsTop K Frequent Elements 中的作法。

Time Complexity: , where is the number of distinct element. `

class Solution {
public:
    string frequencySort(string s) {
        unordered_map<char, int> mp;
        priority_queue<pair<char, int>, vector<pair<char, int>>, comp> pq;
 
        for(auto ch: s) {
            mp[ch]++;
        }
 
        for(auto it = mp.begin(); it != mp.end(); it++) {
            pq.push(make_pair(it->first, it->second));
        }
 
        string answer = "";
        while(!pq.empty()) {
            for(int i = 0; i < pq.top().second; i++)
                answer += pq.top().first;
            pq.pop();
        }
 
        return answer;
 
    }
 
private:
    struct comp {
        bool operator() (const pair<char, int>& p1, const pair<char, int>& p2) {
            if(p1.second != p2.second) return p1.second < p2.second;
            return p1.first > p2.first;
        }
    };
};

Source