Given a binary tree, return the bottom-up level order traversal of its nodes' values. (ie, from left to right, level by level from leaf to root).
For example:
Given binary tree [3,9,20,null,null,15,7]
,
3
/ \
9 20
/ \
15 7
return its bottom-up level order traversal as:
[
[15,7],
[9,20],
[3]
]
code1还是102. Binary Tree Level Order Traversal的套路emmmm
code2是dfs的思路,很机智,太久没写了手生要多练!
# Definition for a binary tree node.
# class TreeNode:
# def __init__(self, x):
# self.val = x
# self.left = None
# self.right = None
class Solution:
def levelOrderBottom(self, root):
"""
:type root: TreeNode
:rtype: List[List[int]]
"""
result = []
if root is None:
return result
node = root
stack = []
stack2 = []
levelstack = []
numstack = []
stack.append(node)
stack2.append(0)
while stack:
node = stack.pop(0)
node_level = stack2.pop(0)
if node.left:
stack.append(node.left)
stack2.append(node_level+1)
if node.right:
stack.append(node.right)
stack2.append(node_level+1)
numstack.append(node.val)
levelstack.append(node_level)
max_level = max(levelstack)
for i in range(0,max_level+1):
result.append([])
max_depth = max(levelstack)
for i,c in enumerate(numstack):
result[max_depth-levelstack[i]].append(c)
return result
# Definition for a binary tree node.
# class TreeNode:
# def __init__(self, x):
# self.val = x
# self.left = None
# self.right = None
def dfs(root,level,res):
if root is None:
return
if level > len(res):
res.insert(0,[])
res[-level].append(root.val)
if root.left:
dfs(root.left,level+1,res)
if root.right:
dfs(root.right,level+1,res)
class Solution:
def levelOrderBottom(self, root):
"""
:type root: TreeNode
:rtype: List[List[int]]
"""
res = []
if root is None:
return res
dfs(root,1,res)
return res