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目录1.前序遍历2.中序遍历3.后序遍历4.测试5.结果6.补充6.1N叉树前序遍历记忆点: 前序:VLR中序:LVR后序:LRV 举例: 一颗二叉树如下图所示: 则它的前序、中
记忆点:
举例:
一颗二叉树如下图所示:
则它的前序、中序、后序遍历流程如下图所示:
class Solution:
def preorderTraversal(self, root: Treenode):
def preorder(root: TreeNode):
if not root:
return
res.append(root.val)
preorder(root.left)
preorder(root.right)
res = []
preorder(root)
return res
class Solution:
def inorderTraversal(self, root: TreeNode):
def inorder(root: TreeNode):
if not root:
return
inorder(root.left)
res.append(root.val)
inorder(root.right)
res = []
inorder(root)
return res
class Solution:
def postorderTraversal(self, root: TreeNode):
def postorder(root: TreeNode):
if not root:
return
postorder(root.left)
res.append(root.val)
postorder(root.right)
res = []
postorder(root)
return res
class TreeNode:
def __init__(self, val=0, left=None, right=None):
self.val = val
self.left = left
self.right = right
# 用列表递归创建二叉树
def createTree(root,list_n,i):
if i <len(list_n):
if list_n[i] == 'null':
return None
else:
root = TreeNode(val = list_n[i])
root.left = createTree(root.left,list_n,2*i+1)
root.right = createTree(root.right,list_n,2*i+2)
return root
return root
class Solution:
def preorderTraversal(self, root: TreeNode): # 前序
def preorder(root: TreeNode):
if not root:
return
res.append(root.val)
preorder(root.left)
preorder(root.right)
res = []
preorder(root)
return res
def inorderTraversal(self, root: TreeNode): # 中序
def inorder(root: TreeNode):
if not root:
return
inorder(root.left)
res.append(root.val)
inorder(root.right)
res = []
inorder(root)
return res
def postorderTraversal(self, root: TreeNode): # 后序
def postorder(root: TreeNode):
if not root:
return
postorder(root.left)
postorder(root.right)
res.append(root.val)
res = []
postorder(root)
return res
if __name__ == "__main__":
root = TreeNode()
list_n = [1,2,3,4,5,6,7,8,'null',9,10]
root = createTree(root,list_n,0)
s = Solution()
res_pre = s.preorderTraversal(root)
res_in = s.inorderTraversal(root)
res_post = s.postorderTraversal(root)
print(res_pre)
print(res_in)
print(res_post)
"""
# Definition for a Node.
class Node:
def __init__(self, val=None, children=None):
self.val = val
self.children = children
"""
class Solution:
def postorder(self, root: 'Node') -> List[int]:
def seq(root):
if not root:
return
res.append(root.val)
for child in root.children:
seq(child)
res = []
seq(root)
return res
N叉树后序遍历
"""
# Definition for a Node.
class Node:
def __init__(self, val=None, children=None):
self.val = val
self.children = children
"""
class Solution:
def postorder(self, root: 'Node') -> List[int]:
def seq(root):
if not root:
return
for child in root.children:
seq(child)
res.append(root.val)
res = []
seq(root)
return res
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本文标题: Python 递归式实现二叉树前序,中序,后序遍历
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