冒泡, 选择, 归并, 快排, 计数, 插入 排序

跳舞演示排序 https://zhuanlan.zhihu.com/p/49271189

1. 冒泡排序

时间复杂度: O(n^2)
空间复杂度: O(1)

def bubble_sort(nums):
    for i in range(len(nums) - 1):
        for j in range(len(nums) - i - 1):
            if nums[j] > nums[j + 1]:
                nums[j], nums[j + 1] = nums[j + 1], nums[j]

2. 选择排序

时间复杂度: O(n^2)
空间复杂度: O(1)

def select_sort(lis):
    for i in range(len(lis)-1):
        min_loc = i
        for j in range(i + 1, len(lis)):
            if lis[j] < lis[min_loc]:
                min_loc = j
        if min_loc != i:
            lis[i], lis[min_loc] = lis[min_loc], lis[i]

3. 归并排序

时间复杂度: O(nlogn)
空间复杂度: O(n)

# 分离后的有序列表合并
def marge(nums, left, mid, right):
    i = left
    j = mid + 1
    ltmp = []

    # 取出两个列表的第一个值, 对比, 小的放到新的列表中, 再往后挪一位继续
    while i <= mid and j <= right: 
        if nums[i] < nums[j]:
            ltmp.append(nums[i])
            i=i+1
        else:
            ltmp.append(nums[j])
            j=j+1

    # 下面两个while循环处理当其中一个列表数据处理完成后另一个列表剩下的数据
    while i <= mid:
        ltmp.append(nums[i])
        i+=1
    while j <=right:
        ltmp.append(nums[j])
        j+=1
    # 将新列表覆值盖原列表值
    nums[left:right+1]=ltmp

# 拆分列表
def mergesort(nums, left, right):
    if left < right:
        mid = (left + right) // 2
        mergesort(nums, left, mid)
        mergesort(nums, mid + 1, right)
        marge(nums, left, mid, right)

# left 为最左边的索引值
# mid  为切分点(中间)的索引值
# right为最右边的索引值

4. 快速排序

时间复杂度: O(nlogn)
空间复杂度: O(1)

def partition(nums, left, right):
    tmp = nums[left]
    while left < right:
        while left < right and tmp <= nums[right]:
            right -= 1
        nums[left] = nums[right]

        while left < right and tmp >= nums[left]:
            left += 1
        nums[right] = nums[left]

    nums[left] = tmp
    return left

def quick_sort(nums, left, right):
    if left < right:
        mid = partition(nums, left, right)
        quick_sort(nums, left, mid-1)
        quick_sort(nums, mid + 1, right)

5. 计数排序

时间复杂度: O(nlogn)
空间复杂度: O(1)

def count_sort(li, max_num):
    count = [0 for i in range(max_num + 1)]
    for num in li:
        count[num] += 1
    i = 0
    for num,m in enumerate(count):
        for j in range(m):
            li[i] = num
            i += 1

6. 插入排序

时间复杂度: O(n^2)
空间复杂度: O(1)

def insert_sort(li):
    for i in range(1, len(li)):
        tmp = li[i] 
        j = i - 1 
        while j >= 0 and tmp < li[j]:
            li[j + 1] = li[j]
            j = j - 1
        li[j + 1] = tmp