python数据结构的排序算法

def bubble_sort(blist):
    count = len(blist)
    for i in range(0, count):
        for j in range(i + 1, count):
            if blist[i] > blist[j]:
                blist[i], blist[j] = blist[j], blist[i]
    return blist

def quick_sort(qlist):
    if qlist == []:
        return []
    else:
        qfirst = qlist[0]
        qless = quick_sort([l for l in qlist[1:] if l < qfirst])
        qmore = quick_sort([m for m in qlist[1:] if m >= qfirst])
        return qless + [qfirst] + qmore

二、插入排序

1、简单插入排序（逐个插入到前面的有序数中）

（1）算法思想
        插入排序的基本操作就是将一个数据插入到已经排好序的有序数据中，从而得到一个新的、个数加一的有序数据，算法适用于少量数据的排序；首先将第一个作为已经排好序的，然后每次从后的取出插入到前面并排序

（2）python实现代码

（2）python实现代码
def insert_sort(ilist):
    for i in range(len(ilist)):
        for j in range(i):
            if ilist[i] < ilist[j]:
                ilist.insert(j, ilist.pop(i))
                break
    return ilist

2、希尔排序（从大范围到小范围进行比较-交换）

（1）算法思想
        先取一个正整数 d1，以 d1 间隔分组，先对每个分组内的元素使用插入排序操作，重复上述分组和直接插入排序操作；直至 di = 1，即所有记录放进一个组中排序为止。

 （2）python实现代码

def shell_sort(slist):
    gap = len(slist)
    while gap > 1:
        gap = gap // 2
        for i in range(gap, len(slist)):
            for j in range(i % gap, i, gap):
                if slist[i] < slist[j]:
                    slist[i], slist[j] = slist[j], slist[i]
    return slist

def select_sort(slist):
    for i in range(len(slist) - 1):
        x = i
        for j in range(i, len(slist)):
            if slist[j] < slist[x]:
                x = j
        slist[i], slist[x] = slist[x], slist[i]
    return slist

import math 
def heap_sort(a):
    al = len(a) 
    def heapify(a, i):
        left = 2 * i + 1
        right = 2 * i + 2
        largest = i
        if left < al and a[left] > a[largest]:
            largest = left
        if right < al and a[right] > a[largest]:
            largest = right
        if largest != i:
            a[i], a[largest] = a[largest], a[i]
            heapify(a, largest)
    # 建堆
    for i in range(math.floor(len(a) / 2), -1, -1):
        heapify(a, i) 
    # 不断调整堆：根与最后一个元素
    for i in range(len(a) - 1, 0, -1):
        a[0], a[i] = a[i], a[0]
        al -= 1
        heapify(a, 0)
    return a

def merge_sort(a):
    if(len(a)<2):
        return a
    middle = len(a)//2
    left, right = a[0:middle], a[middle:]
    return merge(merge_sort(left), merge_sort(right)) 
def merge(left,right):
    result = []
    while left and right:
        if left[0] <= right[0]:
            result.append(left.pop(0));
        else:
            result.append(right.pop(0));
    while left:
        result.append(left.pop(0));
    while right:
        result.append(right.pop(0));
    return result

def countingSort(arr, maxValue):
    bucketLen = maxValue+1
    bucket = [0]*bucketLen
    sortedIndex =0
    arrLen = len(arr)
    for i in range(arrLen):
        if not bucket[arr[i]]:
            bucket[arr[i]]=0
        bucket[arr[i]]+=1
    for j in range(bucketLen):
        while bucket[j]>0:
            arr[sortedIndex] = j
            sortedIndex+=1
            bucket[j]-=1
    return arr

def bucketSort(nums):
    bucket=[0]*(max(nums)-min(nums)+1)
    for i in range(len(nums)):
        bucket[nums[i]-min(nums)]+=1
    tmp=[]
    for i in range(len(bucket)):
        if bucket[i]!=0:
            tmp+=[min(nums)+i]*bucket[i]
    return tmp

def radix_sort(array):
    bucket, digit = [[]], 0
    while len(bucket[0]) != len(array):
        bucket = [[], [], [], [], [], [], [], [], [], []]
        for i in range(len(array)):
            num = (array[i] // 10 ** digit) % 10
            bucket[num].append(array[i])
        array.clear()
        for i in range(len(bucket)):
            array += bucket[i]
        digit += 1
    return array