大家好,我最近在重学数据结构与算法这门课,顺手整理了10大经典排序算法的Python实现,并配有动画加以理解,建议收藏起来慢慢食用~
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好了,废话少说,上干货 !

1. 冒泡排序

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def bubbleSort(arr):
for i in range(1, len(arr)):
for j in range(0, len(arr)-i):
if arr[j] > arr[j+1]:
arr[j], arr[j + 1] = arr[j + 1], arr[j]
return arr

2. 选择排序

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def selectionSort(arr):
for i in range(len(arr) - 1):
# 记录最小数的索引
minIndex = i
for j in range(i + 1, len(arr)):
if arr[j] < arr[minIndex]:
minIndex = j
# i 不是最小数时,将 i 和最小数进行交换
if i != minIndex:
arr[i], arr[minIndex] = arr[minIndex], arr[i]
return arr

3. 插入排序

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def insertionSort(arr):
for i in range(len(arr)):
preIndex = i-1
current = arr[i]
while preIndex >= 0 and arr[preIndex] > current:
arr[preIndex+1] = arr[preIndex]
preIndex-=1
arr[preIndex+1] = current
return arr

4. 希尔排序

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def shellSort(arr):
import math
gap=1
while(gap < len(arr)/3):
gap = gap*3+1
while gap > 0:
for i in range(gap,len(arr)):
temp = arr[i]
j = i-gap
while j >=0 and arr[j] > temp:
arr[j+gap]=arr[j]
j-=gap
arr[j+gap] = temp
gap = math.floor(gap/3)
return arr

5. 归并排序

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def mergeSort(arr):
import math
if(len(arr)<2):
return arr
middle = math.floor(len(arr)/2)
left, right = arr[0:middle], arr[middle:]
return merge(mergeSort(left), mergeSort(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

6. 快速排序

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#这里给出快排的单边循环法
def quickSort(arr, left=None, right=None):
left = 0 if not isinstance(left,(int, float)) else left
right = len(arr)-1 if not isinstance(right,(int, float)) else right
if left < right:
partitionIndex = partition(arr, left, right)
quickSort(arr, left, partitionIndex-1)
quickSort(arr, partitionIndex+1, right)
return arr

def partition(arr, left, right):
pivot = left
index = pivot+1
i = index
while i <= right:
if arr[i] < arr[pivot]:
swap(arr, i, index)
index+=1
i+=1
swap(arr,pivot,index-1)
return index-1

def swap(arr, i, j):
arr[i], arr[j] = arr[j], arr[i]

7. 堆排序

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def buildMaxHeap(arr):
import math
for i in range(math.floor(len(arr)/2),-1,-1):
heapify(arr,i)

def heapify(arr, i):
left = 2*i+1
right = 2*i+2
largest = i
if left < arrLen and arr[left] > arr[largest]:
largest = left
if right < arrLen and arr[right] > arr[largest]:
largest = right

if largest != i:
swap(arr, i, largest)
heapify(arr, largest)

def swap(arr, i, j):
arr[i], arr[j] = arr[j], arr[i]

def heapSort(arr):
global arrLen
arrLen = len(arr)
buildMaxHeap(arr)
for i in range(len(arr)-1,0,-1):
swap(arr,0,i)
arrLen -=1
heapify(arr, 0)
return arr

8. 计数排序

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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

9. 桶排序

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def bucketSort(array):
bucket = []

# Create empty buckets
for i in range(len(array)):
bucket.append([])

# Insert elements into their respective buckets
for j in array:
index_b = int(10 * j)
bucket[index_b].append(j)

# Sort the elements of each bucket
for i in range(len(array)):
bucket[i] = sorted(bucket[i])

# Get the sorted elements
k = 0
for i in range(len(array)):
for j in range(len(bucket[i])):
array[k] = bucket[i][j]
k += 1
return array

10. 基数排序

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def radix(arr):
digit = 0
max_digit = 1
max_value = max(arr)
#找出列表中最大的位数
while 10**max_digit < max_value:
max_digit = max_digit + 1

while digit < max_digit:
temp = [[] for i in range(10)]
for i in arr:
#求出每一个元素的个、十、百位的值
t = int((i/10**digit)%10)
temp[t].append(i)

coll = []
for bucket in temp:
for i in bucket:
coll.append(i)

arr = coll
digit = digit + 1

return arr

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最后用一张图来总结以上排序算法的特点:
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参考: