LeetCode Majority Element
Problem
Given an array of size n, find the majority element. The majority element is the element that appears more than ⌊ n/2 ⌋ times.
You may assume that the array is non-empty and the majority element always exist in the array.
找到数组中重复出现次数超过数组长度⌊ n/2 ⌋ 的元素
Python 实现
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
# Given an array of size n, find the majority element. The majority element is the element that appears more than ⌊ n/2 ⌋ times.
#
# You may assume that the array is non-empty and the majority element always exist in the array.
#author li.hzh
class Solution:
def majorityElement(self, nums):
"""
:type nums: List[int]
:rtype: int
"""
target = len(nums) // 2
if target == 0:
return nums[0]
map = {}
for val in nums:
if val in map:
map[val] += 1
if map[val] > target:
return val
else:
map[val] = 1
def majorityElement_sort(self, nums):
"""
:type nums: List[int]
:rtype: int
"""
nums.sort()
return nums[len(nums)//2]
print(Solution().majorityElement_sort([8,8,7,7,7]))
分析
给出两种方法,一种就是利用map保存值及其对应出现的次数。最直接的想法了。
不过这道题,有个比较巧的思路。就是如果一个元素出现的次数超过一半,那么排序后,[n/2]位的元素,一定是该元素。我觉得这个可能是出题者的意图吧。于是有了解法二。
所有代码已上传至Github:https://github.com/lihongzheshuai/yummy-code
GESP 学习专题站:GESP WIKI
"luogu-"系列题目可在洛谷题库进行在线评测。
"bcqm-"系列题目可在编程启蒙题库进行在线评测。
欢迎加入:Java、C++、Python技术交流QQ群(982860385),大佬免费带队,有问必答
欢迎加入:C++ GESP/CSP认证学习QQ频道,考试资源总结汇总
欢迎加入:C++ GESP/CSP学习交流QQ群(688906745),考试认证学员交流,互帮互助
本文由作者按照 CC BY-NC-SA 4.0 进行授权
