排序算法的python实现
几个排序算法
冒泡排序
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冒泡排序是比较简单的排序方法，它的思路是重复的走过要排序的序列，一次比较两个元素，如果顺序错误，就交换元素的位置，直到没有元素需要交换位置。
| 原 始 | 6 | 1 | 8 | 5 | 9 | 7 |
|---|---|---|---|---|---|---|
| 第一次 | 1 | 6 | 8 | 5 | 9 | 7 |
| 第二次 | 1 | 6 | 8 | 5 | 9 | 7 |
| 第三次 | 1 | 6 | 5 | 8 | 9 | 7 |
| 第四次 | 1 | 6 | 5 | 8 | 9 | 7 |
| 第五次 | 1 | 6 | 5 | 8 | 7 | 9 |
……
| 第N次 | 1 | 5 | 6 | 7 | 8 | 9 |
|---|
代码实现：
1.lst = [6,1,8,5,9,7]
2.for i in range(len(lst)-1):
3. for j in range(len(lst)-1):
4. if lst[j] > lst[j+1]:
5. tmp = lst[j]
6. lst[j] = lst[j+1]
7. lst[j+1] = tmp
8.print lst
选择排序
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" 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选择排序是从等待排序的数组里选择一个最小（或者最大）的元素，拿出来放入新的数组，直到取出全部元素。
| 原 始 | 6 | 1 | 8 | 5 | 9 | 7 | 3 |
|---|---|---|---|---|---|---|---|
| 第一次 | 1 | 6 | 8 | 5 | 9 | 7 | 3 |
| 第二次 | 1 | 3 | 8 | 5 | 9 | 7 | 6 |
| 第三次 | 1 | 3 | 5 | 8 | 9 | 7 | 6 |
| 第四次 | 1 | 3 | 5 | 6 | 9 | 7 | 8 |
| 第五次 | 1 | 3 | 5 | 6 | 7 | 9 | 8 |
| 第六次 | 1 | 3 | 5 | 6 | 7 | 8 | 9 |
每一次排序后最小的数组放在已排序的序列的最后
实现代码
1.lst = [6,1,8,5,9,7,3]
2.for i in range(len(lst)):
3. tmp = lst[i]
4. pos = i
5. for j in range(i+1,len(lst)):
6. if tmp > lst[j]:
7. tmp = lst[j]
8. pos = j
9. a_tmp = lst[i]
10. lst[i] = tmp
11. lst[pos] = a_tmp
12.
13.print lst
插入排序
aaarticlea/png;base64,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" 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插入排序是一种简单直观的排序算法，原理是通过构建有序序列，对于未排序的数据，在已排序的序列中从后想前扫描，找到相应位置后插入。插入排序通常采用in-place排序，即 只需要用到O(1) 的额外空间的排序。
算法描述：
- 从第一个元素开始，记该元素已经排序，
- 获取下一个元素作为新元素，在已经排序的序列中，从后向前扫描
- 如果该元素（已排序的序列中的元素）大于新元素，，则将该元素移到下一位置
- 重复步骤3， 直到找到已排序的元素小雨或等于新元素的位置
- 将心元素插入该位置
- 重复步骤2 ～步骤5 ，直到排序完成
在排序时，如果元素比较的操作代价比较大，可以采用二分查找，来减少操作。
实现代码：
1.lst = [6,1,8,5,9,7,2,4,6,9,2,32,45,76,8,3,3,4]
2.
3.for i in range(len(lst)):
4. for j in range(i,0,-1):
5. if lst[j-1] >lst[j]:
6. tmp = lst[j-1]
7. lst[j-1] = lst[j]
8. lst[j] = tmp
快速排序 quick sort
又称 划分交换排序;排序n个元素，需要Ο(n log n)次比较 ，最坏情况时需要，Ο(n2)次比较，但这种状况并不常见。
设 有序列 lst = [3,0,1,8,7,2,5,4,9,6] ， i= 0 j=9 k = lst[0]
| 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
|---|---|---|---|---|---|---|---|---|---|
| 3 | 0 | 1 | 8 | 7 | 2 | 5 | 4 | 9 | 6 |
| 2 | 0 | 1 | 8 | 7 | 3 | 5 | 4 | 9 | 6 |
| 2 | 0 | 1 | 3 | 7 | 8 | 5 | 4 | 9 | 6 |
| 2 | 0 | 1 | 3 | 7 | 8 | 5 | 4 | 9 | 6 |
- 以3为基准，从右向左找比 3 小的值 ,j–
- 找到第一个小于三的数字2， lst[i] lst[j]交换位置；
- 继续从右向左找比3小的数字，直到 i==j 此时第一趟 完成，3的当前位置为正确位置
- 此时大序列可分为两个小序列
sub_lst_01 = [2,0,1]
sub_lst_01 = [7,8,5,4,9,6]
按照第一趟排序的规则 对两个子序列进行排序，直到所有子序列长度为1。
从左向右找第一大于3的数字 8 ，交换 lst[i] lst[j]位置 i++
| 2 | 0 | 1 |
|---|---|---|
| 1 | 0 | 2 |
以2为基准，从右向左找比2小的值，找到数字1 比2小，交换两者位置
此时从左向右找比2大的数字，未找到，2的位置为排序后的正确位置
| 1 | 0 |
|---|---|
| 0 | 1 |
以1为基准，从右向左找比1小的数字，找到0比1小，交换两者位置
从左向右找比1 大的数字，未找到，1的位置为排序后的正确位置
0|
-|
此时序列只剩0 ，长度为1 ，0 的位置为排序后的正确位置
| 7 | 8 | 5 | 4 | 9 | 6 |
|---|---|---|---|---|---|
| 6 | 8 | 5 | 4 | 9 | 7 |
| 6 | 7 | 5 | 4 | 9 | 8 |
| 6 | 4 | 5 | 7 | 9 | 8 |
| . | . | . | . | . | . |
| 5 | 4 | 6 | . | 8 | 9 |
| 5 | 4 | . | . | . | . |
| 4 | 5 | 6 | 7 | 8 | 9 |
- 以7为基准，从右向左找到比7小的数字6，交换两者位置
- 从左向右查找到比7大的数字8 交换两者位置
- 从右向左找到比7小的数字4，交换两者位置
- 从左向右查找到比7大的数字，未找到，则7的位置为排序后的正确位置
产生两个子序列 [6,4,5] [8,9]
重复以上操作，直到所有的序列排序完成。
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