# python排序算法大全

1、插入排序

Python

def insert_sort(lists):
# 插入排序
count = len(lists)
for i in range(1, count):
key = lists[i]
j = i – 1
while j >= 0:
if lists[j] > key:
lists[j + 1] = lists[j]
lists[j] = key
j -= 1
return lists
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def insert_sort(lists):
# 插入排序
count = len(lists)
for i in range(1, count):
key = lists[i]
j = i – 1
while j >= 0:
if lists[j] > key:
lists[j + 1] = lists[j]
lists[j] = key
j -= 1
return lists
2、希尔排序

Python

def shell_sort(lists):
# 希尔排序
count = len(lists)
step = 2
group = count / step
while group > 0:
for i in range(0, group):
j = i + group
while j < count: k = j - group key = lists[j] while k >= 0:
if lists[k] > key:
lists[k + group] = lists[k]
lists[k] = key
k -= group
j += group
group /= step
return lists

def shell_sort(lists):
# 希尔排序
count = len(lists)
step = 2
group = count / step
while group > 0:
for i in range(0, group):
j = i + group
while j < count: k = j - group key = lists[j] while k >= 0:
if lists[k] > key:
lists[k + group] = lists[k]
lists[k] = key
k -= group
j += group
group /= step
return lists
3、冒泡排序

Python

def bubble_sort(lists):
# 冒泡排序
count = len(lists)
for i in range(0, count):
for j in range(i + 1, count):
if lists[i] > lists[j]:
lists[i], lists[j] = lists[j], lists[i]
return lists

def bubble_sort(lists):
# 冒泡排序
count = len(lists)
for i in range(0, count):
for j in range(i + 1, count):
if lists[i] > lists[j]:
lists[i], lists[j] = lists[j], lists[i]
return lists
4、快速排序

Python

def quick_sort(lists, left, right):
# 快速排序
if left >= right:
return lists
key = lists[left]
low = left
high = right
while left < right: while left < right and lists[right] >= key:
right -= 1
lists[left] = lists[right]
while left < right and lists[left] <= key: left += 1 lists[right] = lists[left] lists[right] = key quick_sort(lists, low, left - 1) quick_sort(lists, left + 1, high) return lists def quick_sort(lists, left, right): # 快速排序 if left >= right:
return lists
key = lists[left]
low = left
high = right
while left < right: while left < right and lists[right] >= key:
right -= 1
lists[left] = lists[right]
while left < right and lists[left] <= key: left += 1 lists[right] = lists[left] lists[right] = key quick_sort(lists, low, left - 1) quick_sort(lists, left + 1, high) return lists 5、直接选择排序 基本思想：第1趟，在待排序记录r1 ~ r[n]中选出最小的记录，将它与r1交换；第2趟，在待排序记录r2 ~ r[n]中选出最小的记录，将它与r2交换；以此类推，第i趟在待排序记录r[i] ~ r[n]中选出最小的记录，将它与r[i]交换，使有序序列不断增长直到全部排序完毕。 代码演示 Python def select_sort(lists): # 选择排序 count = len(lists) for i in range(0, count): min = i for j in range(i + 1, count): if lists[min] > lists[j]:
min = j
lists[min], lists[i] = lists[i], lists[min]
return lists

def select_sort(lists):
# 选择排序
count = len(lists)
for i in range(0, count):
min = i
for j in range(i + 1, count):
if lists[min] > lists[j]:
min = j
lists[min], lists[i] = lists[i], lists[min]
return lists
6、堆排序

Python

def adjust_heap(lists, i, size):
lchild = 2 * i + 1
rchild = 2 * i + 2
max = i
if i < size / 2: if lchild < size and lists[lchild] > lists[max]:
max = lchild
if rchild < size and lists[rchild] > lists[max]:
max = rchild
if max != i:
lists[max], lists[i] = lists[i], lists[max]

def build_heap(lists, size):
for i in range(0, (size/2))[::-1]:

def heap_sort(lists):
size = len(lists)
build_heap(lists, size)
for i in range(0, size)[::-1]:
lists[0], lists[i] = lists[i], lists[0]

def adjust_heap(lists, i, size):
lchild = 2 * i + 1
rchild = 2 * i + 2
max = i
if i < size / 2: if lchild < size and lists[lchild] > lists[max]:
max = lchild
if rchild < size and lists[rchild] > lists[max]:
max = rchild
if max != i:
lists[max], lists[i] = lists[i], lists[max]

def build_heap(lists, size):
for i in range(0, (size/2))[::-1]:

def heap_sort(lists):
size = len(lists)
build_heap(lists, size)
for i in range(0, size)[::-1]:
lists[0], lists[i] = lists[i], lists[0]
7、归并排序

Python

def merge(left, right):
i, j = 0, 0
result = []