In this post, we are going to solve the Binary Tree Inorder Traversal Leetcode Solution problem of Leetcode. This Leetcode problem is done in many programming languages like C++, Java, and Python.

Problem
Given the root
of a binary tree, return the inorder traversal of its nodes’ values.
Example 1:

Input: root = [1,null,2,3] Output: [1,3,2]
Example 2:
Input: root = [] Output: []
Example 3:
Input: root = [1] Output: [1]
Constraints:
- The number of nodes in the tree is in the range
[0, 100]
. -100 <= Node.val <= 100
Follow up: Recursive solution is trivial, could you do it iteratively?
Now, let’s see the leetcode solution of Binary Tree Inorder Traversal Leetcode Solution.
Binary Tree Inorder Traversal Leetcode Solution in Python
class Solution: def inorderTraversal(self, root: Optional[TreeNode]) -> List[int]: ans = [] stack = [] while root or stack: while root: stack.append(root) root = root.left root = stack.pop() ans.append(root.val) root = root.right return ans
Binary Tree Inorder Traversal Leetcode Solution in CPP
class Solution { public: vector<int> inorderTraversal(TreeNode* root) { vector<int> ans; stack<TreeNode*> stack; while (root || !stack.empty()) { while (root) { stack.push(root); root = root->left; } root = stack.top(), stack.pop(); ans.push_back(root->val); root = root->right; } return ans; } };
Binary Tree Inorder Traversal Leetcode Solution in Java
class Solution { public List<Integer> inorderTraversal(TreeNode root) { List<Integer> ans = new ArrayList<>(); Deque<TreeNode> stack = new ArrayDeque<>(); while (root != null || !stack.isEmpty()) { while (root != null) { stack.push(root); root = root.left; } root = stack.pop(); ans.add(root.val); root = root.right; } return ans; } }
Note: This problem Binary Tree Inorder Traversal is generated by Leetcode but the solution is provided by Chase2learn This tutorial is only for Educational and Learning purposes.