python数据结构之二叉树的统计与转换实例_python教程-查字典教程网
python数据结构之二叉树的统计与转换实例
python数据结构之二叉树的统计与转换实例
发布时间:2017-01-07 来源:查字典编辑
摘要:一、获取二叉树的深度就是二叉树最后的层次,如下图:实现代码:复制代码代码如下:defgetheight(self):'''获取二叉树深度''...

一、获取二叉树的深度

就是二叉树最后的层次,如下图:

实现代码:

复制代码 代码如下:

def getheight(self):

''' 获取二叉树深度 '''

return self.__get_tree_height(self.root)

def __get_tree_height(self, root):

if root is 0:

return 0

if root.left is 0 and root.right is 0:

return 1

else:

left = self.__get_tree_height(root.left)

right = self.__get_tree_height(root.right)

if left < right:

return right + 1

else:

return left + 1

二、叶子的统计

叶子就是二叉树的节点的 left 指针和 right 指针分别指向空的节点

复制代码 代码如下:

def getleafcount(self):

''' 获取二叉树叶子数 '''

return self.__count_leaf_node(self.root)

def __count_leaf_node(self, root):

res = 0

if root is 0:

return res

if root.left is 0 and root.right is 0:

res += 1

return res

if root.left is not 0:

res += self.__count_leaf_node(root.left)

if root.right is not 0:

res += self.__count_leaf_node(root.right)

return res

三、统计叶子的分支节点

与叶子节点相对的其他节点 left 和 right 的指针指向其他节点

复制代码 代码如下:

def getbranchcount(self):

''' 获取二叉树分支节点数 '''

return self.__get_branch_node(self.root)

def __get_branch_node(self, root):

if root is 0:

return 0

if root.left is 0 and root.right is 0:

return 0

else:

return 1 + self.__get_branch_node(root.left) + self.__get_branch_node(root.right)

四、二叉树左右树互换

复制代码 代码如下:

def replacelem(self):

''' 二叉树所有结点的左右子树相互交换 '''

self.__replace_element(self.root)

def __replace_element(self, root):

if root is 0:

return

root.left, root.right = root.right, root.left

self.__replace_element(root.left)

self.__replace_element(root.right)

这些方法和操作,都是运用递归。其实二叉树的定义也是一种递归。附上最后的完整代码:

复制代码 代码如下:

# -*- coding: utf - 8 - *-

class TreeNode(object):

def __init__(self, left=0, right=0, data=0):

self.left = left

self.right = right

self.data = data

class BinaryTree(object):

def __init__(self, root=0):

self.root = root

def is_empty(self):

if self.root is 0:

return True

else:

return False

def create(self):

temp = input('enter a value:')

if temp is '#':

return 0

treenode = TreeNode(data=temp)

if self.root is 0:

self.root = treenode

treenode.left = self.create()

treenode.right = self.create()

def preorder(self, treenode):

'前序(pre-order,NLR)遍历'

if treenode is 0:

return

print treenode.data

self.preorder(treenode.left)

self.preorder(treenode.right)

def inorder(self, treenode):

'中序(in-order,LNR'

if treenode is 0:

return

self.inorder(treenode.left)

print treenode.data

self.inorder(treenode.right)

def postorder(self, treenode):

'后序(post-order,LRN)遍历'

if treenode is 0:

return

self.postorder(treenode.left)

self.postorder(treenode.right)

print treenode.data

def preorders(self, treenode):

'前序(pre-order,NLR)非递归遍历'

stack = []

while treenode or stack:

if treenode is not 0:

print treenode.data

stack.append(treenode)

treenode = treenode.left

else:

treenode = stack.pop()

treenode = treenode.right

def inorders(self, treenode):

'中序(in-order,LNR) 非递归遍历'

stack = []

while treenode or stack:

if treenode:

stack.append(treenode)

treenode = treenode.left

else:

treenode = stack.pop()

print treenode.data

treenode = treenode.right

def postorders(self, treenode):

'后序(post-order,LRN)非递归遍历'

stack = []

pre = 0

while treenode or stack:

if treenode:

stack.append(treenode)

treenode = treenode.left

elif stack[-1].right != pre:

treenode = stack[-1].right

pre = 0

else:

pre = stack.pop()

print pre.data

# def postorders(self, treenode):

# '后序(post-order,LRN)非递归遍历'

# stack = []

# queue = []

# queue.append(treenode)

# while queue:

# treenode = queue.pop()

# if treenode.left:

# queue.append(treenode.left)

# if treenode.right:

# queue.append(treenode.right)

# stack.append(treenode)

# while stack:

# print stack.pop().data

def levelorders(self, treenode):

'层序(post-order,LRN)非递归遍历'

from collections import deque

if not treenode:

return

q = deque([treenode])

while q:

treenode = q.popleft()

print treenode.data

if treenode.left:

q.append(treenode.left)

if treenode.right:

q.append(treenode.right)

def getheight(self):

''' 获取二叉树深度 '''

return self.__get_tree_height(self.root)

def __get_tree_height(self, root):

if root is 0:

return 0

if root.left is 0 and root.right is 0:

return 1

else:

left = self.__get_tree_height(root.left)

right = self.__get_tree_height(root.right)

if left < right:

return right + 1

else:

return left + 1

def getleafcount(self):

''' 获取二叉树叶子数 '''

return self.__count_leaf_node(self.root)

def __count_leaf_node(self, root):

res = 0

if root is 0:

return res

if root.left is 0 and root.right is 0:

res += 1

return res

if root.left is not 0:

res += self.__count_leaf_node(root.left)

if root.right is not 0:

res += self.__count_leaf_node(root.right)

return res

def getbranchcount(self):

''' 获取二叉树分支节点数 '''

return self.__get_branch_node(self.root)

def __get_branch_node(self, root):

if root is 0:

return 0

if root.left is 0 and root.right is 0:

return 0

else:

return 1 + self.__get_branch_node(root.left) + self.__get_branch_node(root.right)

def replacelem(self):

''' 二叉树所有结点的左右子树相互交换 '''

self.__replace_element(self.root)

def __replace_element(self, root):

if root is 0:

return

root.left, root.right = root.right, root.left

self.__replace_element(root.left)

self.__replace_element(root.right)

node1 = TreeNode(data=1)

node2 = TreeNode(node1, 0, 2)

node3 = TreeNode(data=3)

node4 = TreeNode(data=4)

node5 = TreeNode(node3, node4, 5)

node6 = TreeNode(node2, node5, 6)

node7 = TreeNode(node6, 0, 7)

node8 = TreeNode(data=8)

root = TreeNode(node7, node8, 'root')

bt = BinaryTree(root)

print u'''

生成的二叉树

------------------------

root

7 8

6

2 5

1 3 4

-------------------------

'''

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