Given a string, sort it in decreasing order based on the frequency of characters.
Example 1:
Input: "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: "cccaaa" Output: "cccaaa" Explanation: Both 'c' and 'a' appear three times, so "aaaccc" is also a valid answer. Note that "cacaca" is incorrect, as the same characters must be together.
Example 3:
Input: "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.
這道題是按字符出現頻率排序字符串,題目難度爲Medium。
首先統計每個字符出現的次數,後續處理思路有很多種,這裏藉助桶排序的方法來方便最終字符串的構築。具體代碼:
class Solution {
public:
string frequencySort(string s) {
vector<int> freq(256, 0);
vector<string> bucket(s.size()+1, "");
string ret = "";
for(auto ch:s) ++freq[ch];
for(int i=0; i<256; ++i)
bucket[freq[i]] += string(freq[i], i);
for(int i=bucket.size()-1; i>0; --i)
ret += bucket[i];
return ret;
}
};
統計完每個字符出現的次數後,將次數相同的字符放在同一個桶中,最終從大到小遍歷所有桶即可得出排序後的字符串,時間複雜度爲O(n)。
這道題和第347題非常相似,大家可以順便看下第347題(傳送門)。同理這裏也可以用堆來進行處理,依據字符出現次數入堆,然後依次從堆中取出各字符即可得出最終結果。由於需要建堆,時間複雜度爲O(nlogn)。具體代碼:
class Solution {
public:
string frequencySort(string s) {
vector<int> freq(256, 0);
priority_queue<pair<int, char>> heap;
string ret = "";
for(auto ch:s) ++freq[ch];
for(int i=0; i<256; ++i)
if(freq[i]) heap.push(make_pair(freq[i], i));
while(!heap.empty()) {
pair<int, char> p = heap.top();
ret += string(p.first, p.second);
heap.pop();
}
return ret;
}
};