以下为原创代码,可以参考,但禁止转载!
@ author:yhr
#coding=utf-8
#__author__='YHR'
import copy
class TreeNode:
def __init__(self, x):
self.val = x
self.left = None
self.right = None
def findNumIndex( L, key):
# 找到L列表中,key的 index
length = len(L)
for _ in range(length):
if L[_] == key:
return _
return -1
def reConstructBinaryTree(pre, tin):
if len(pre) < 1 or len(tin) < 1:
return None
else:
pre = copy.deepcopy(pre);
tin = copy.deepcopy(tin)
headval = pre[0]
# get 左子树的tin:tinLeft and 右子树的tin:tinRight
tinHeadIndex = findNumIndex(tin, headval) # 找到父节点的 index
if tinHeadIndex > 0:
tinLeftTree = tin[0:tinHeadIndex]
else:
tinLeftTree = []
if tinHeadIndex < len(tin) - 1:
tinRightTree = tin[tinHeadIndex + 1:]
else:
tinRightTree = []
# get 左子树的pre:preleft and 右子树的pre:preRight
if len(tinLeftTree) >= 1:
preLeftTree = pre[1:1 + len(tinLeftTree)]
else:
preLeftTree = []
if len(tinRightTree) >= 1:
preRightTree = pre[1 + len(tinLeftTree):]
else:
preRightTree = []
parentNode = TreeNode(x=headval)
# left child tree
parentNode.left = reConstructBinaryTree(preLeftTree, tinLeftTree)
# right child tree
parentNode.right = reConstructBinaryTree(preRightTree, tinRightTree)
return parentNode
#coding=utf-8
#__author__='YHR'
class Solution:
def threeOrders(self, root):
# write code here
pass
def digui_pre_order(self, root):
# 头 左右
preorder = []
if root is not None:
preorder += [root.val]
preorder += (self.digui_pre_order(root.left))
preorder += (self.digui_pre_order(root.right))
else:
pass
return preorder
def digui_mid_order(self, root):
# 左 头 右
midorder = []
if root is not None:
midorder += self.digui_mid_order(root.left)
midorder += [root.val]
midorder += self.digui_mid_order(root.right)
else:
pass
return midorder
def digui_post_order(self, root):
# 左 右 头
postorder = []
if root is not None:
postorder += self.digui_post_order(root.left)
postorder += self.digui_post_order(root.right)
postorder += [root.val]
else:
pass
return postorder
#coding=utf-8
#__author__='YHR'
# ---------------------- no digui ---------------------
def nodigui_pre_order(self, root):
# 头 左右
stack=[]
pre_order = []
if root is None:
return pre_order
else:
stack.insert(0, root)
while len(stack) > 0:
node = stack.pop(0)
pre_order.append(node.val)
if node.right is not None:
stack.insert(0, node.right)
if node.left is not None:
stack.insert(0, node.left)
return pre_order
# 不需要递归
def nodigui_mid_order(self, root):
# 左 头 右
stack = []
mid_order = []
if root is None:
return mid_order
else:
top = root
stack.insert(0, top)
while len(stack) > 0 :
while top.left is not None:
stack.insert(0, top.left)
top = top.left
while len(stack)>0:
# while 直到出现 右孩子,或者出栈完毕为止,不走回头路即不走已经遍历过的左孩子
# 不加while的话,top弹出以后 如果此时是非叶子节点, 他没有right节点,存在左孩子
# 他就会继续压入他的左孩子。但是他的左孩子已经被压进去过了,就会循环
top = stack.pop(0)
mid_order.append(top.val)
if top.right is not None:
stack.insert(0, top.right)
top = top.right
break
return mid_order
def nodigui_post_order(self, root):
# 左 右 头
stack = []
post_order = []
if root is None:
return post_order
else:
top = [root, 1]
# top[1] 为遍历到top[0]的次数 count, 第一次遍历到它, count=1,入栈,遍历左孩子
# 第二次遍历到它, count=2 入栈,遍历右孩子
# count=2 时,再次遍历到他,表示第3次遍历到它, 终于可以真正出栈啦~~~
stack.insert(0, top)
while len(stack) > 0:
while top[0].left is not None:
new = [top[0].left, 1]
stack.insert(0, new)
top = new
while len(stack) > 0:
top = stack.pop(0)
if top[1] == 2:
post_order.append(top[0].val)
else:
top = [top[0], 2]
stack.insert(0, top)
if top[0].right is not None:
new = [top[0].right, 1]
stack.insert(0, new)
top = new
break
return post_order
def cengxuTraverse(root):
# 层序遍历
if root is None:
return []
else:
queue = []
cengxu = []
queue.append(root)
while len(queue) > 0:
node = queue.pop(0) # 弹出队首元素
cengxu.append(node.val)
if node.left is not None:
queue.append(node.left)
if node.right is not None:
queue.append(node.right)
return cengxu
#coding=utf-8
#__author__='YHR'
if __name__=='__main__':
pre, tin = [44,18,22,40,34,36,31,1,41,30,19,27,16,32,9,3,12,39,20,4,11,10,38,7,23,8,42,35,28,2,14,6,24,15,43,5,33,26,21,17,29,13,25,37],\
[40,31,36,34,22,18,30,19,41,32,16,27,1,3,12,9,4,20,39,11,44,23,42,8,7,35,28,38,10,15,24,43,26,33,5,6,14,2,29,17,13,21,25,37]
root = reConstructBinaryTree(pre, tin) #根据pre and tin 生成二叉树
print(cengxuTraverse(root))
s = Solution()
print(s.nodigui_pre_order(root))
print(s.nodigui_mid_order(root))
print(s.nodigui_post_order(root))