Problem Description
Given the root of a binary tree, return the zigzag level order traversal of its nodes' values. (i.e., from left to right, then right to left for the next level and alternate between).
Examples
Example 1: Input: root = [3,9,20,null,null,15,7] Output: [[3],[20,9],[15,7]] Example 2: Input: root = [1] Output: [[1]] Example 3: Input: root = [] Output: []
Python 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
from collections import deque
def zigzagLevelOrder(root: Optional[TreeNode]) -> List[List[int]]:
if not root:
return []
result = []
queue = deque([root])
left_to_right = True
while queue:
level_size = len(queue)
current_level = []
for _ in range(level_size):
node = queue.popleft()
# Add to current level based on direction
if left_to_right:
current_level.append(node.val)
else:
current_level.insert(0, node.val)
if node.left:
queue.append(node.left)
if node.right:
queue.append(node.right)
result.append(current_level)
left_to_right = not left_to_right
return result
Java Solution
/**
* Definition for a binary tree node.
* public class TreeNode {
* int val;
* TreeNode left;
* TreeNode right;
* TreeNode() {}
* TreeNode(int val) { this.val = val; }
* TreeNode(int val, TreeNode left, TreeNode right) {
* this.val = val;
* this.left = left;
* this.right = right;
* }
* }
*/
class Solution {
public List> zigzagLevelOrder(TreeNode root) {
List> result = new ArrayList<>();
if (root == null) {
return result;
}
Queue queue = new LinkedList<>();
queue.offer(root);
boolean leftToRight = true;
while (!queue.isEmpty()) {
int levelSize = queue.size();
LinkedList currentLevel = new LinkedList<>();
for (int i = 0; i < levelSize; i++) {
TreeNode node = queue.poll();
// Add to current level based on direction
if (leftToRight) {
currentLevel.add(node.val);
} else {
currentLevel.addFirst(node.val);
}
if (node.left != null) {
queue.offer(node.left);
}
if (node.right != null) {
queue.offer(node.right);
}
}
result.add(currentLevel);
leftToRight = !leftToRight;
}
return result;
}
}
C++ Solution
/**
* Definition for a binary tree node.
* struct TreeNode {
* int val;
* TreeNode *left;
* TreeNode *right;
* TreeNode() : val(0), left(nullptr), right(nullptr) {}
* TreeNode(int x) : val(x), left(nullptr), right(nullptr) {}
* TreeNode(int x, TreeNode *left, TreeNode *right) : val(x), left(left), right(right) {}
* };
*/
class Solution {
public:
vector> zigzagLevelOrder(TreeNode* root) {
vector> result;
if (!root) {
return result;
}
queue queue;
queue.push(root);
bool leftToRight = true;
while (!queue.empty()) {
int levelSize = queue.size();
vector currentLevel(levelSize);
for (int i = 0; i < levelSize; i++) {
TreeNode* node = queue.front();
queue.pop();
// Add to current level based on direction
int index = leftToRight ? i : levelSize - 1 - i;
currentLevel[index] = node->val;
if (node->left) {
queue.push(node->left);
}
if (node->right) {
queue.push(node->right);
}
}
result.push_back(currentLevel);
leftToRight = !leftToRight;
}
return result;
}
};
JavaScript Solution
/**
* Definition for a binary tree node.
* function TreeNode(val, left, right) {
* this.val = (val===undefined ? 0 : val)
* this.left = (left===undefined ? null : left)
* this.right = (right===undefined ? null : right)
* }
*/
/**
* @param {TreeNode} root
* @return {number[][]}
*/
var zigzagLevelOrder = function(root) {
if (!root) {
return [];
}
const result = [];
const queue = [root];
let leftToRight = true;
while (queue.length) {
const levelSize = queue.length;
const currentLevel = [];
for (let i = 0; i < levelSize; i++) {
const node = queue.shift();
// Add to current level based on direction
if (leftToRight) {
currentLevel.push(node.val);
} else {
currentLevel.unshift(node.val);
}
if (node.left) {
queue.push(node.left);
}
if (node.right) {
queue.push(node.right);
}
}
result.push(currentLevel);
leftToRight = !leftToRight;
}
return result;
};
C# Solution
/**
* Definition for a binary tree node.
* public class TreeNode {
* public int val;
* public TreeNode left;
* public TreeNode right;
* public TreeNode(int val=0, TreeNode left=null, TreeNode right=null) {
* this.val = val;
* this.left = left;
* this.right = right;
* }
* }
*/
public class Solution {
public IList> ZigzagLevelOrder(TreeNode root) {
IList> result = new List>();
if (root == null) {
return result;
}
Queue queue = new Queue();
queue.Enqueue(root);
bool leftToRight = true;
while (queue.Count > 0) {
int levelSize = queue.Count;
LinkedList currentLevel = new LinkedList();
for (int i = 0; i < levelSize; i++) {
TreeNode node = queue.Dequeue();
// Add to current level based on direction
if (leftToRight) {
currentLevel.AddLast(node.val);
} else {
currentLevel.AddFirst(node.val);
}
if (node.left != null) {
queue.Enqueue(node.left);
}
if (node.right != null) {
queue.Enqueue(node.right);
}
}
result.Add(currentLevel.ToList());
leftToRight = !leftToRight;
}
return result;
}
}
Complexity Analysis
- Time Complexity: O(n) where n is the number of nodes in the tree
- Space Complexity: O(w) where w is the maximum width of the tree
Solution Explanation
This solution uses breadth-first search with alternating direction:
- Key concept:
- Level-by-level traversal
- Alternate direction
- Queue-based approach
- Algorithm steps:
- Process each level
- Track direction
- Add nodes accordingly
- Switch direction
Key points:
- Handle empty tree
- Maintain zigzag order
- Efficient insertion
- Level tracking