文件: root - text - article - 2020 - 02 - top-k-frequent-words.txt
标签: 每日算法题, 算法, 数据结构, 面试题, Daily Interview Problem, Data Structures and Algorithms, Computer Programming, Python, | 英文 | 主页 | 类别: 计算机科学 | 546 次阅读, 22204 次搜索 | 102 个单词
| 浏览 | 博客存档
标签: 每日算法题, 算法, 数据结构, 面试题, Daily Interview Problem, Data Structures and Algorithms, Computer Programming, Python, | 英文 | 主页 | 类别: 计算机科学 | 546 次阅读, 22204 次搜索 | 102 个单词
| 浏览 | 博客存档
Hi, here's your problem today. This problem was recently asked by AirBNB:
Given a non-empty list of words, return the k most frequent words. The output should be sorted from highest to lowest frequency, and if two words have the same frequency, the word with lower alphabetical order comes first. Input will contain only lower-case letters.
Example:
Input: ["daily", "interview", "pro", "pro", "for", "daily", "pro", "problems"], k = 2
Output: ["pro", "daily"]
标签: 每日算法题, 算法, 数据结构, 面试题, Daily Interview Problem, Data Structures and Algorithms, Computer Programming, Python, | 英文 | 主页 | 类别: 计算机科学 | 546 次阅读, 22204 次搜索 | 102 个单词 Given a non-empty list of words, return the k most frequent words. The output should be sorted from highest to lowest frequency, and if two words have the same frequency, the word with lower alphabetical order comes first. Input will contain only lower-case letters.
Example:
Input: ["daily", "interview", "pro", "pro", "for", "daily", "pro", "problems"], k = 2
Output: ["pro", "daily"]
class Solution(object):
def topKFrequent(self, words, k):
# Fill this in.
words = ["daily", "interview", "pro", "pro", "for", "daily", "pro", "problems"]
k = 2
print(Solution().topKFrequent(words, k))
# ['pro', 'daily']
猜您喜欢...
- Fix Brackets
- [Daily Problem] Witness of The Tall People
- Maximum In A Stack
- Daily Interview Puzzle: Minimum Size Subarray Sum
- Daily Interview Problem: Merge List Of Number Into Ranges
- Spreadsheet Column Title
- Making a Height Balanced Binary Search Tree
- Consecutive Ones
- Daily Interview Problem: Largest Product of 3 Elements I
- Daily Interview Problem: Find the k-th Largest Element in a List
©2006~2024 牛排过熟 - 0.00887 秒 - 2292.488 KB/s - 27 在线 内存: 493.3 KB
18:54:01 up 13 days, 18:33, 2 users, load average: 0.98, 0.86, 0.73 - 服务器 PHP 版本号: 7.4.33
牛排怎么做才好吃? | <meta name="机器人" content="索引, 跟踪">
18:54:01 up 13 days, 18:33, 2 users, load average: 0.98, 0.86, 0.73 - 服务器 PHP 版本号: 7.4.33
评论 (0)
读写完全 - 一般 - 最小 - 表格 - 所有评论 - 统计
当前页暂时没有评论。