# Definition for a binary tree node.
# class TreeNode(object):
# def __init__(self, x):
# self.val = x
# self.left = None
# self.right = None
class Solution(object):
# def inorderTraversal(self, root):
# """
# :type root: TreeNode
# :rtype: List[int]
# """
# # recursively
# res = []
# self.do_inorderTraversal(res, root)
# return res
#
# def do_inorderTraversal(self, res, curr):
# if curr is None:
# return
# if curr.left is not None:
# self.do_inorderTraversal(res, curr.left)
# res.append(curr.val)
# if curr.right is not None:
# self.do_inorderTraversal(res, curr.right)
# def inorderTraversal(self, root):
# # iteratively, but break the tree
# res = []
# if root is None:
# return res
# queue = [root]
# while len(queue) > 0:
# curr = queue.pop(0)
# if curr.left is None and curr.right is None:
# res.append(curr.val)
# else:
# if curr.right is not None:
# queue.insert(0, curr.right)
# curr.right = None
# queue.insert(0, curr)
# if curr.left is not None:
# queue.insert(0, curr.left)
# curr.left = None
# return res
# def inorderTraversal(self, root):
# res = []
# stack = []
# while root is not None:
# stack.append(root)
# root = root.left
# while root is None:
# if len(stack) == 0:
# return res
# root = stack.pop()
# res.append(root.val)
# root = root.right
# return res
def inorderTraversal(self, root):
if root is None:
return []
res = []
stack = [root]
while len(stack) > 0:
curr = stack.pop()
if not isinstance(curr, TreeNode):
res.append(curr)
continue
if curr.right is not None:
stack.append(curr.right)
stack.append(curr.val)
if curr.left is not None:
stack.append(curr.left)
return res
Download Binary Tree Inorder Traversal.pyLeetcode 094 Binary Tree Inorder Traversal problem solution in python3 with explanation. This is the best place to expand your knowledge and get prepared for your next interview.
self.val = x
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