comments | difficulty | edit_url | tags | |||||||
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Medium |
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Given an array of strings words
and an integer k
, return the k
most frequent strings.
Return the answer sorted by the frequency from highest to lowest. Sort the words with the same frequency by their lexicographical order.
Example 1:
Input: words = ["i","love","leetcode","i","love","coding"], k = 2 Output: ["i","love"] Explanation: "i" and "love" are the two most frequent words. Note that "i" comes before "love" due to a lower alphabetical order.
Example 2:
Input: words = ["the","day","is","sunny","the","the","the","sunny","is","is"], k = 4 Output: ["the","is","sunny","day"] Explanation: "the", "is", "sunny" and "day" are the four most frequent words, with the number of occurrence being 4, 3, 2 and 1 respectively.
Constraints:
1 <= words.length <= 500
1 <= words[i].length <= 10
words[i]
consists of lowercase English letters.k
is in the range[1, The number of unique words[i]]
Follow-up: Could you solve it in O(n log(k))
time and O(n)
extra space?
class Solution:
def topKFrequent(self, words: List[str], k: int) -> List[str]:
cnt = Counter(words)
return sorted(cnt, key=lambda x: (-cnt[x], x))[:k]
class Solution {
public List<String> topKFrequent(String[] words, int k) {
Map<String, Integer> cnt = new HashMap<>();
for (String v : words) {
cnt.put(v, cnt.getOrDefault(v, 0) + 1);
}
PriorityQueue<String> q = new PriorityQueue<>((a, b) -> {
int d = cnt.get(a) - cnt.get(b);
return d == 0 ? b.compareTo(a) : d;
});
for (String v : cnt.keySet()) {
q.offer(v);
if (q.size() > k) {
q.poll();
}
}
LinkedList<String> ans = new LinkedList<>();
while (!q.isEmpty()) {
ans.addFirst(q.poll());
}
return ans;
}
}
class Solution {
public:
vector<string> topKFrequent(vector<string>& words, int k) {
unordered_map<string, int> cnt;
for (auto& v : words) ++cnt[v];
vector<string> ans;
for (auto& [key, _] : cnt) ans.emplace_back(key);
sort(ans.begin(), ans.end(), [&](const string& a, const string& b) -> bool {
return cnt[a] == cnt[b] ? a < b : cnt[a] > cnt[b];
});
ans.erase(ans.begin() + k, ans.end());
return ans;
}
};
func topKFrequent(words []string, k int) []string {
cnt := map[string]int{}
for _, v := range words {
cnt[v]++
}
ans := []string{}
for v := range cnt {
ans = append(ans, v)
}
sort.Slice(ans, func(i, j int) bool {
a, b := ans[i], ans[j]
return cnt[a] > cnt[b] || cnt[a] == cnt[b] && a < b
})
return ans[:k]
}