Leetcode 1093. 大样本统计
题目
我们对 0 到 255 之间的整数进行采样,并将结果存储在数组 count 中:count[k] 就是整数 k 的采样个数。
我们以 浮点数 数组的形式,分别返回样本的最小值、最大值、平均值、中位数和众数。其中,众数是保证唯一的。
我们先来回顾一下中位数的知识:
如果样本中的元素有序,并且元素数量为奇数时,中位数为最中间的那个元素;
如果样本中的元素有序,并且元素数量为偶数时,中位数为中间的两个元素的平均值。
示例 1:
输入:count = [0,1,3,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
输出:[1.00000,3.00000,2.37500,2.50000,3.00000]
示例 2:
输入:count = [0,4,3,2,2,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
输出:[1.00000,4.00000,2.18182,2.00000,1.00000]
思路
- 最小值, 最大值就是看第一个count不是0和最后一个count不是0的数字
- 平均数, 众数一边扫描即可
- 中位数可以分别记录中间2个数字的数值, 判断到中间的方法为idx >= cnt / 2 - 1, idx为当前扫描的个数, cnt为总共多少个数字
- 最后说一句, 其实代码可以优化到只用一个循环, 但是比较麻烦所以就用了一堆循环来写
代码
class Solution:
def sampleStats(self, count):
res, length = [], len(count)
# 最小值
for i in range(length):
if count[i] != 0:
res.append(float(i))
break
# 最大值
for i in range(length - 1, -1, -1):
if count[i] != 0:
res.append(float(i))
break
# 平均值, 众数
sum, cnt, mode_cnt, mode = 0, 0, 0, 0
for i in range(length):
sum = sum + i * count[i]
cnt = cnt + count[i]
if count[i] > mode_cnt:
mode_cnt = count[i]
mode = i
# 中位数
idx, middle_1, middle_2 = -1, -1, -1
for i in range(length):
if count[i] != 0:
idx = idx + count[i]
if idx >= cnt / 2 - 1:
if middle_1 == -1:
middle_1 = i
if idx >= cnt / 2:
if middle_2 == -1:
middle_2 = i
break
middle = (middle_1 + middle_2) / 2 if cnt % 2 == 0 else middle_2
res.extend([sum / cnt, middle, mode])
return res