Given the root of a binary tree, return the level order traversal of its nodes' values. (i.e., from left to right, level by level).
Example 1:

Input: root = [3,9,20,null,null,15,7] Output: [[3],[9,20],[15,7]]
Example 2:
Input: root = [1] Output: [[1]]
Example 3:
Input: root = [] Output: []
Constraints:
- The number of nodes in the tree is in the range
[0, 2000]. -1000 <= Node.val <= 1000
My Solution:
# 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 levelOrder(self, root: Optional[TreeNode]) -> List[List[int]]: if not root: return [] level_list = [] def levelTraverse(root, level): try: level_list[level].append(root.val) except IndexError: level_list.append([root.val]) if root.left: levelTraverse(root.left, level + 1) if root.right: levelTraverse(root.right, level + 1) levelTraverse(root, 0) return level_list

ChatGPT's Solution:
from collections import deque # 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 levelOrder(self, root: Optional[TreeNode]) -> List[List[int]]: if not root: return [] res = [] queue = deque([root]) while queue: level = [] for _ in range(len(queue)): # Process all nodes at the current level node = queue.popleft() level.append(node.val) if node.left: queue.append(node.left) if node.right: queue.append(node.right) res.append(level) return res


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