Python实现的几个常用排序算法实例
前段时间为准备百度面试恶补的东西，虽然最后还是被刷了，还是把那几天的“战利品”放点上来，算法一直是自己比较薄弱的地方，以后还要更加努力啊。
下面用Python实现了几个常用的排序，如快速排序，选择排序，以及二路并归排序等等。
def directInsertSort(seq):
""" 直接插入排序 """
size = len(seq)
for i in range(1,size):
tmp, j = seq[i], i
while j > 0 and tmp < seq[j-1]:
seq[j], j = seq[j-1], j-1
seq[j] = tmp
return seq
def directSelectSort(seq):
""" 直接选择排序 """
size = len(seq)
for i in range(0,size - 1):
k = i;j = i+1
while j < size:
if seq[j] < seq[k]:
k = j
j += 1
seq[i],seq[k] = seq[k],seq[i]
return seq
def bubbleSort(seq):
"""冒泡排序"""
size = len(seq)
for i in range(1,size):
for j in range(0,size-i):
if seq[j+1] < seq[j]:
seq[j+1],seq[j] = seq[j],seq[j+1]
return seq
def _divide(seq, low, high):
"""快速排序划分函数"""
tmp = seq[low]
while low != high:
while low < high and seq[high] >= tmp: high -= 1
if low < high:
seq[low] = seq[high]
low += 1
while low < high and seq[low] <= tmp: low += 1
if low < high:
seq[high] = seq[low]
high -= 1
seq[low] = tmp
return low
def _quickSort(seq, low, high):
"""快速排序辅助函数"""
if low >= high: return
mid = _divide(seq, low, high)
_quickSort(seq, low, mid - 1)
_quickSort(seq, mid + 1, high)
def quickSort(seq):
"""快速排序包裹函数"""
size = len(seq)
_quickSort(seq, 0, size - 1)
return seq
def merge(seq, left, mid, right):
tmp = []
i, j = left, mid
while i < mid and j <= right:
if seq[i] < seq[j]:
tmp.append(seq[i])
i += 1
else:
tmp.append(seq[j])
j += 1
if i < mid: tmp.extend(seq[i:])
if j <= right: tmp.extend(seq[j:])
seq[left:right+1] = tmp[0:right-left+1]
def _mergeSort(seq, left, right):
if left == right:
return
else:
mid = (left + right) / 2
_mergeSort(seq, left, mid)
_mergeSort(seq, mid + 1, right)
merge(seq, left, mid+1, right)
#二路并归排序
def mergeSort(seq):
size = len(seq)
_mergeSort(seq, 0, size - 1)
return seq
if __name__ == '__main__':
s = [random.randint(0,100) for i in range(0,20)]
print s
print "\n"
print directSelectSort(copy(s))
print directInsertSort(copy(s))
print bubbleSort(copy(s))
print quickSort(copy(s))
print mergeSort(copy(s))
运行结果如下：
[8, 10, 26, 28, 29, 32, 45, 47, 47, 51, 56, 61, 64, 69, 76, 81, 84, 88, 91, 95]
[8, 10, 26, 28, 29, 32, 45, 47, 47, 51, 56, 61, 64, 69, 76, 81, 84, 88, 91, 95]
[8, 10, 26, 28, 29, 32, 45, 47, 47, 51, 56, 61, 64, 69, 76, 81, 84, 88, 91, 95]
[8, 10, 26, 28, 29, 32, 45, 47, 47, 51, 56, 61, 64, 69, 76, 81, 84, 88, 91, 95]
[8, 10, 26, 28, 29, 32, 45, 47, 47, 51, 56, 61, 64, 69, 76, 81, 84, 88, 91, 95]
数据分析咨询请扫描二维码
