Leetcode 314: Binary Tree Vertical Order Traversal

314. Binary Tree Vertical Order Traversal 

  • Total Accepted: 13025
  • Total Submissions: 38434
  • Difficulty: Medium
  • Contributors: Admin

Given a binary tree, return the vertical order traversal of its nodes’ values. (ie, from top to bottom, column by column).

If two nodes are in the same row and column, the order should be from left to right.

Examples:

  1. Given binary tree [3,9,20,null,null,15,7],
       3
      /\
     /  \
     9  20
        /\
       /  \
      15   7
    

    return its vertical order traversal as:

    [
      [9],
      [3,15],
      [20],
      [7]
    ]
    
  2. Given binary tree [3,9,8,4,0,1,7],
         3
        /\
       /  \
       9   8
      /\  /\
     /  \/  \
     4  01   7
    

    return its vertical order traversal as:

    [
      [4],
      [9],
      [3,0,1],
      [8],
      [7]
    ]
    
  3. Given binary tree [3,9,8,4,0,1,7,null,null,null,2,5] (0’s right child is 2 and 1’s left child is 5),
         3
        /\
       /  \
       9   8
      /\  /\
     /  \/  \
     4  01   7
        /\
       /  \
       5   2
    

    return its vertical order traversal as:

    [
      [4],
      [9,5],
      [3,0,1],
      [8,2],
      [7]
    ]
    
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Code

# Definition for a binary tree node.
# class TreeNode(object):
#     def __init__(self, x):
#         self.val = x
#         self.left = None
#         self.right = None

from collections import defaultdict, deque

class Solution(object):
    def verticalOrder(self, root):
        """
        :type root: TreeNode
        :rtype: List[List[int]]
        """
        if root is None:
            return []

        d = defaultdict(list)
        l = deque([(root,0)])
     
        while l:
            n, v = l.popleft()
            d[v].append(n.val)
            if n.left: 
                l.append((n.left, v-1))
            if n.right: 
                l.append((n.right, v+1))

        res = []
        for k in sorted(d.keys()):
            res.append(d[k])
        
        return res

 

Idea

Use BFS to traverse nodes. Since result must take O(N) space anyway, I don’t think there is much room to improve. 

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