1. 二叉树的层序遍历
(102) 给你二叉树的根节点
root,返回其节点值的 层序遍历 。 (即逐层地,从左到右访问所有节点)。输入:root = [3,9,20,null,null,15,7] 输出:[[3],[9,20],[15,7]]
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
```python
# Definition for a binary tree node.
# class TreeNode:
# def __init__(self, val=0, left=None, right=None):
# self.val = val
# self.left = left
# self.right = right
class Solution:
def levelOrder1(self, root: Optional[TreeNode]) -> List[List[int]]:
if root is None:
return []
cur = [root]
res = []
while cur:
child = []
res_ = []
for node in cur:
res_.append(node.val)
if node.left:
child.append(node.left)
if node.right:
child.append(node.right)
res.append(res_)
cur = child
return res
def levelOrder(self, root: Optional[TreeNode]) -> List[List[int]]:
if root is None:
return []
cur = deque([root])
res = []
while cur:
# child = []
res_ = []
for _ in range(len(cur)):
node = cur.popleft()
res_.append(node.val)
if node.left:
cur.append(node.left)
if node.right:
cur.append(node.right)
res.append(res_)
# cur = child
return res
2. 二叉树的锯齿形层序遍历
给你二叉树的根节点
root,返回其节点值的 锯齿形层序遍历 。(即先从左往右,再从右往左进行下一层遍历,以此类推,层与层之间交替进行)。输入:root = [3,9,20,null,null,15,7] 输出:[[3],[20,9],[15,7]]
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
```python
# Definition for a binary tree node.
# class TreeNode:
# def __init__(self, val=0, left=None, right=None):
# self.val = val
# self.left = left
# self.right = right
class Solution:
def zigzagLevelOrder(self, root: Optional[TreeNode]) -> List[List[int]]:
if root is None:
return []
cur = deque([root])
res = []
flag = True
while(cur) :
res_ = []
for _ in range(len(cur)):
node = cur.popleft()
res_.append(node.val)
if node.left:
cur.append(node.left)
if node.right:
cur.append(node.right)
res.append(res_ if flag else res_[::-1])
flag = not flag
return res
3. 找树左下角的值
(513)给定一个二叉树的 根节点
root,请找出该二叉树的 最底层 最左边 节点的值。假设二叉树中至少有一个节点。
输入: root = [2,1,3] 输出: 1
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
```python
# Definition for a binary tree node.
# class TreeNode:
# def __init__(self, val=0, left=None, right=None):
# self.val = val
# self.left = left
# self.right = right
class Solution:
def findBottomLeftValue(self, root: Optional[TreeNode]) -> int:
q = deque([root])
while q:
node = q.popleft()
if node.right:
q.append(node.right)
if node.left:
q.append(node.left)
return node.val