x = [6,1,4,5,6,6,7,8,9,2,3,4,5]
#冒泡排序 bubble sort
#重复地走访过要排序的数列,一次比较两个元素,如果它们的顺序错误就把它们交换过来
def bubblesort(nums):
for i in range(len(nums)):
for j in range(len(nums)-1):
if nums[j] > nums[j+1]:
nums[j], nums[j+1] = nums[j+1],nums[j]
return nums
print(bubblesort(x))
#选择排序 selection sort
#首先在未排序序列中找到最小(大)元素,存放到排序序列的起始位置,然后,再从剩余未排序元素中继续寻找最小(大)元素,然后放到已排序序列的末尾。以此类推,直到所有元素均排序完毕。
def selectionsort(nums):
for i in range(len(nums)):
mins = i
for j in range(mins+1, len(nums)):
if nums[j] < nums[mins]:
nums[mins], nums[i] = nums[i], nums[mins]
return nums
print(selectionsort(x))
#插入排序 insertion sort
#通过构建有序序列,对于未排序数据,在已排序序列中从后向前扫描,找到相应位置并插入。
def insertionsort(nums):
for i in range(1, len(nums)):
for j in range(i):
if nums[i] >= nums[j] and nums[i] < nums[j+1]:
loc = nums[i]
for k in range(j+1, len(nums)-1):
nums[k+1] = nums[k]
nums[j] = loc
return nums
print(insertionsort(x))
#快排 quick sort link: https://wiki.jikexueyuan.com/project/easy-learn-algorithm/fast-sort.html
def partition(arr, low, high):
i = low # 最小元素索引
pivot = arr[high]
for j in range(low, high):
# 当前元素小于或等于 pivot
if arr[j] <= pivot:
arr[i], arr[j] = arr[j], arr[i]
i = i + 1
arr[i], arr[high] = arr[high], arr[i]
return i
# arr[] --> 排序数组
# low --> 起始索引
# high --> 结束索引
# 快速排序函数
def quickSort(arr, low, high):
if low < high:
pi = partition(arr, low, high)
quickSort(arr, low, pi - 1)
quickSort(arr, pi + 1, high)
quickSort(x, 0, len(x)-1)
print("排序后的数组:")
print(x)