Print a Binary Tree in Vertical Order | Set 1

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Given a binary tree, print it vertically. The following example illustrates vertical order traversal.

           1
        /    \
       2      3
      / \    / \
     4   5  6   7
             \   \
              8   9 
               
              
The output of print this tree vertically will be:
4
2
1 5 6
3 8
7
9

The idea is to traverse the tree once and get the minimum and maximum horizontal distance with respect to root. For the tree shown above, minimum distance is -2 (for node with value 4) and maximum distance is 3 (For node with value 9).
Once we have maximum and minimum distances from root, we iterate for each vertical line at distance minimum to maximum from root, and for each vertical line traverse the tree and print the nodes which lie on that vertical line.
Algorithm:

// min --> Minimum horizontal distance from root
// max --> Maximum horizontal distance from root
// hd  --> Horizontal distance of current node from root 
findMinMax(tree, min, max, hd)
     if tree is NULL then return;
 
     if hd is less than min then
           *min = hd;
     else if hd is greater than max then
           *max = hd;
 
     findMinMax(tree->left, min, max, hd-1);
     findMinMax(tree->right, min, max, hd+1);

 
printVerticalLine(tree, line_no, hd)
     if tree is NULL then return;
 
     if hd is equal to line_no, then
           print(tree->data);
     printVerticalLine(tree->left, line_no, hd-1);
     printVerticalLine(tree->right, line_no, hd+1);

Implementation:
Following is the implementation of above algorithm.

C++

#include <iostream>
using namespace std;
 
// A node of binary tree
struct Node
{
    int data;
    struct Node *left, *right;
};
 
// A utility function to create a new Binary Tree node
Node* newNode(int data)
{
    Node *temp = new Node;
    temp->data = data;
    temp->left = temp->right = NULL;
    return temp;
}
 
// A utility function to find min and max distances with respect
// to root.
void findMinMax(Node *node, int *min, int *max, int hd)
{
    // Base case
    if (node == NULL) return;
 
    // Update min and max
    if (hd < *min)  *min = hd;
    else if (hd > *max) *max = hd;
 
    // Recur for left and right subtrees
    findMinMax(node->left, min, max, hd-1);
    findMinMax(node->right, min, max, hd+1);
}
 
// A utility function to print all nodes on a given line_no.
// hd is horizontal distance of current node with respect to root.
void printVerticalLine(Node *node, int line_no, int hd)
{
    // Base case
    if (node == NULL) return;
 
    // If this node is on the given line number
    if (hd == line_no)
        cout << node->data << " ";
 
    // Recur for left and right subtrees
    printVerticalLine(node->left, line_no, hd-1);
    printVerticalLine(node->right, line_no, hd+1);
}
 
// The main function that prints a given binary tree in
// vertical order
void verticalOrder(Node *root)
{
    // Find min and max distances with resepect to root
    int min = 0, max = 0;
    findMinMax(root, &min, &max, 0);
 
    // Iterate through all possible vertical lines starting
    // from the leftmost line and print nodes line by line
    for (int line_no = min; line_no <= max; line_no++)
    {
        printVerticalLine(root, line_no, 0);
        cout << endl;
    }
}
 
// Driver program to test above functions
int main()
{
    // Create binary tree shown in above figure
    Node *root = newNode(1);
    root->left = newNode(2);
    root->right = newNode(3);
    root->left->left = newNode(4);
    root->left->right = newNode(5);
    root->right->left = newNode(6);
    root->right->right = newNode(7);
    root->right->left->right = newNode(8);
    root->right->right->right = newNode(9);
 
    cout << "Vertical order traversal is \n";
    verticalOrder(root);
 
    return 0;
}

Java

// Java program to print binary tree in reverse order
  
// A binary tree node
class Node 
{
    int data;
    Node left, right;
  
    Node(int item) 
    {
        data = item;
        left = right = null;
    }
}
  
class Values 
{
    int max, min;
}
  
class BinaryTree 
{
    Node root;
    Values val = new Values();
  
    // A utility function to find min and max distances with respect
    // to root.
    void findMinMax(Node node, Values min, Values max, int hd) 
    {
        // Base case
        if (node == null) 
            return;
  
        // Update min and max
        if (hd < min.min) 
            min.min = hd;
        else if (hd > max.max) 
            max.max = hd;
  
        // Recur for left and right subtrees
        findMinMax(node.left, min, max, hd - 1);
        findMinMax(node.right, min, max, hd + 1);
    }
  
    // A utility function to print all nodes on a given line_no.
    // hd is horizontal distance of current node with respect to root.
    void printVerticalLine(Node node, int line_no, int hd) 
    {
        // Base case
        if (node == null) 
            return;
  
        // If this node is on the given line number
        if (hd == line_no) 
            System.out.print(node.data + " ");        
  
        // Recur for left and right subtrees
        printVerticalLine(node.left, line_no, hd - 1);
        printVerticalLine(node.right, line_no, hd + 1);
    }
  
    // The main function that prints a given binary tree in
    // vertical order
    void verticalOrder(Node node) 
    {
        // Find min and max distances with resepect to root
        findMinMax(node, val, val, 0);
  
        // Iterate through all possible vertical lines starting
        // from the leftmost line and print nodes line by line
        for (int line_no = val.min; line_no <= val.max; line_no++) 
        {
            printVerticalLine(node, line_no, 0);
            System.out.println("");
        }
    }
  
    // Driver program to test the above functions
    public static void main(String args[]) 
    {
        BinaryTree tree = new BinaryTree();
  
        /* Let us construct the tree shown in above diagram */
        tree.root = new Node(1);
        tree.root.left = new Node(2);
        tree.root.right = new Node(3);
        tree.root.left.left = new Node(4);
        tree.root.left.right = new Node(5);
        tree.root.right.left = new Node(6);
        tree.root.right.right = new Node(7);
        tree.root.right.left.right = new Node(8);
        tree.root.right.right.right = new Node(9);
  
        System.out.println("vertical order traversal is :");
        tree.verticalOrder(tree.root);
    }
}
  
// This code has been contributed by Mayank Jaiswal

Python3

# Program to print binary tree in vertical order
 
# A binary tree
class Node:
    # Constructor to create a new node
    def __init__(self, key):
        self.data = key 
        self.left = None
        self.right = None
 
# A utility function to find min and max distances with
# respect to root 
def findMinMax(node, minimum, maximum, hd):
     
    # Base Case
    if node is None:
        return
     
    # Update min and max
    if hd < minimum[0] :
        minimum[0] = hd
    elif hd > maximum[0]:
        maximum[0] = hd
 
    # Recur for left and right subtrees
    findMinMax(node.left, minimum, maximum, hd-1)
    findMinMax(node.right, minimum, maximum, hd+1)
 
# A utility function to print all nodes on a given line_no
# hd is horizontal distance of current node with respect to root
def printVerticalLine(node, line_no, hd):
     
    # Base Case
    if node is None:
        return
     
    # If this node is on the given line number
    if hd == line_no:
        print (node.data,end=" ")
 
    # Recur for left and right subtrees
    printVerticalLine(node.left, line_no, hd-1)
    printVerticalLine(node.right, line_no, hd+1)
 
def verticalOrder(root):
     
    # Find min and max distances with respect to root
    minimum = [0]
    maximum = [0]
    findMinMax(root, minimum, maximum, 0)
 
    # Iterate through all possible lines starting 
    # from the leftmost line and print nodes line by line
    for line_no in range(minimum[0], maximum[0]+1):
        printVerticalLine(root, line_no, 0)
        print()
          
 
# Driver program to test above function
root = Node(1)
root.left = Node(2)
root.right = Node(3)
root.left.left = Node(4)
root.left.right = Node(5)
root.right.left = Node(6)
root.right.right = Node(7)
root.right.left.right = Node(8)
root.right.right.right = Node(9)
 
print ("Vertical order traversal is")
verticalOrder(root)
 
# This code is contributed by Nikhil Kumar Singh(nickzuck_007)

C#

// C# program to print binary tree in reverse order
using System;
 
// A binary tree node
public class Node 
{
    public int data;
    public Node left, right;
 
    public Node(int item) 
    {
        data = item;
        left = right = null;
    }
}
 
class Values 
{
    public int max, min;
}
 
public class BinaryTree 
{
    Node root;
    Values val = new Values();
 
    // A utility function to find min and
    //  max distances with respect to root.
    void findMinMax(Node node, Values min,
                    Values max, int hd) 
    {
        // Base case
        if (node == null) 
            return;
 
        // Update min and max
        if (hd < min.min) 
            min.min = hd;
        else if (hd > max.max) 
            max.max = hd;
 
        // Recur for left and right subtrees
        findMinMax(node.left, min, max, hd - 1);
        findMinMax(node.right, min, max, hd + 1);
    }
 
    // A utility function to print 
    // all nodes on a given line_no.
    // hd is horizontal distance of 
    // current node with respect to root.
    void printVerticalLine(Node node, 
                            int line_no, int hd) 
    {
        // Base case
        if (node == null) 
            return;
 
        // If this node is on the given line number
        if (hd == line_no) 
            Console.Write(node.data + " ");     
 
        // Recur for left and right subtrees
        printVerticalLine(node.left, line_no, hd - 1);
        printVerticalLine(node.right, line_no, hd + 1);
    }
 
    // The main function that prints 
    // a given binary tree in vertical order
    void verticalOrder(Node node) 
    {
        // Find min and max distances with resepect to root
        findMinMax(node, val, val, 0);
 
        // Iterate through all possible 
        // vertical lines starting from the
        // leftmost line and print nodes line by line
        for (int line_no = val.min; line_no <= val.max; line_no++) 
        {
            printVerticalLine(node, line_no, 0);
            Console.WriteLine("");
        }
    }
 
    // Driver code
    public static void Main() 
    {
        BinaryTree tree = new BinaryTree();
 
        /* Let us construct the tree
        shown in above diagram */
        tree.root = new Node(1);
        tree.root.left = new Node(2);
        tree.root.right = new Node(3);
        tree.root.left.left = new Node(4);
        tree.root.left.right = new Node(5);
        tree.root.right.left = new Node(6);
        tree.root.right.right = new Node(7);
        tree.root.right.left.right = new Node(8);
        tree.root.right.right.right = new Node(9);
 
        Console.WriteLine("vertical order traversal is :");
        tree.verticalOrder(tree.root);
    }
}
 
/* This code is contributed PrinciRaj1992 */

Javascript

<script>
 
    // JavaScript program to print binary tree
    // in reverse order
     
    class Node
    {
        constructor(item) {
           this.left = null;
           this.right = null;
           this.data = item;
        }
    }
     
    let root, min = 0, max = 0;
    
    // A utility function to find min and
    // max distances with respect
    // to root.
    function findMinMax(node, hd) 
    {
        // Base case
        if (node == null) 
            return;
    
        // Update min and max
        if (hd < min) 
            min = hd;
        else if (hd > max) 
            max = hd;
    
        // Recur for left and right subtrees
        findMinMax(node.left, hd - 1);
        findMinMax(node.right, hd + 1);
    }
    
    // A utility function to print all nodes on a given line_no.
    // hd is horizontal distance of 
    // current node with respect to root.
    function printVerticalLine(node, line_no, hd) 
    {
        // Base case
        if (node == null) 
            return;
    
        // If this node is on the given line number
        if (hd == line_no) 
            document.write(node.data + " ");        
    
        // Recur for left and right subtrees
        printVerticalLine(node.left, line_no, hd - 1);
        printVerticalLine(node.right, line_no, hd + 1);
    }
    
    // The main function that prints a given binary tree in
    // vertical order
    function verticalOrder(node) 
    {
        // Find min and max distances with resepect to root
        findMinMax(node, 0);
    
        // Iterate through all possible vertical lines starting
        // from the leftmost line and print nodes line by line
        for (let line_no = min; line_no <= max; line_no++) 
        {
            printVerticalLine(node, line_no, 0);
            document.write("</br>");
        }
    }
     
    /* Let us construct the tree shown in above diagram */
    root = new Node(1);
    root.left = new Node(2);
    root.right = new Node(3);
    root.left.left = new Node(4);
    root.left.right = new Node(5);
    root.right.left = new Node(6);
    root.right.right = new Node(7);
    root.right.left.right = new Node(8);
    root.right.right.right = new Node(9);
 
    document.write("Vertical order traversal is :" + "</br>");
    verticalOrder(root);
     
</script>

Output

Vertical order traversal is 
4 
2 
1 5 6 
3 8 
7 
9

Time Complexity: Time complexity of above algorithm is O(w*n) where w is width of Binary Tree and n is number of nodes in Binary Tree. In worst case, the value of w can be O(n) (consider a complete tree for example) and time complexity can become O(n²).

Auxiliary Space: O(1), as we are not using any extra space.
This problem can be solved more efficiently using the technique discussed in this post. We will soon be discussing complete algorithm and implementation of more efficient method.
This article is contributed by Shalki Agarwal. Please write comments if you find anything incorrect, or you want to share more information about the topic discussed above

Method -2 – More Optimized Method: (With MinHeaps)

self-made image by Balakrishnan R

Algorithm:

So here we need the traversal in a customized way.

If we number the vertical lines in such numbering as per the above image.

We need the Traversal in Ascending order of vertical lines, IF SAME Ascending Order of Level, IF SAME Levelorder Traversal ordering.

So we Need 4 parameters = Vertical Line Index, Level Index, Level order traversal (BFS) Number, Value of Node.

Vertical Index Numbering = start with 0 in the root.

IF u go left v=v-1

IF u go right v = v+1 (Look at the diagram to get deeper idea on why it is?)

Level Index = start with 0 in the root.

Just make l = l+1, as left or right we are going down only.

So with the above modification do level order traversal and store the popped nodes in the MINHEAP.

Then simply pop from MINHEAP and print it.

When u go to next vertical line, then print a newline as needed.

NOTE:

MinHeap, why? As we need Ascending order, minimum thing first at the top.

we used pair<pair<int,int>,pair<int,int>> to store all 4 parameters {{ },{ }}

C++

#include <bits/stdc++.h>
using namespace std;
#define Nii pair<Node*, pair<int, int>>
#define ppi pair<pair<int,int>,pair<int,int>>
 
// A node of binary tree
struct Node
{
    int data;
    struct Node *left, *right;
};
   
// A utility function to create a new Binary Tree node
Node* newNode(int data)
{
    Node *temp = new Node;
    temp->data = data;
    temp->left = temp->right = NULL;
    return temp;
}
//Function to find the vertical order traversal of Binary Tree.
void verticalOrder(Node *root)
{
   
  queue<Nii> qu; //node, vertical, level
  priority_queue<ppi,vector<ppi>,greater<ppi>> minH;
  //Vertical, Level, BFSNo, Val
 
  int v = 0;
  int l = 0;
  qu.push({root,{v,l}});
 
  //LEVEL order traversal
  while(!qu.empty()){
    int s = qu.size();
    int i = 0;
 
    while(i<s){
      Node* node = qu.front().first;
      v = qu.front().second.first;
      l = qu.front().second.second;
      //Vertical indx , Levelindx , BFSNo, Val - Insertion
      minH.push({{v,l},{i,node->data}});
      qu.pop();
      if(node->left !=NULL) qu.push({node->left,{v-1,l+1}});
      if(node->right !=NULL) qu.push({node->right,{v+1,l+1}});
 
      i++;
    }
 
  }
 
   while(!minH.empty()){
        int vi = minH.top().first.first;
        cout<< minH.top().second.second<<" ";
        minH.pop();
        if(vi!=minH.top().first.first) cout<<"\n";
    }
            
}
 
int main()
{
    // Create binary tree shown in above figure
    Node *root = newNode(1);
    root->left = newNode(2);
    root->right = newNode(3);
    root->left->left = newNode(4);
    root->left->right = newNode(5);
    root->right->left = newNode(6);
    root->right->right = newNode(7);
    root->right->left->right = newNode(8);
    root->right->right->right = newNode(9);
   
    cout << "Vertical order traversal is \n";
    verticalOrder(root);
   
    return 0;
}
 
//Code Done by Balakrishnan R (rbkraj000)

C#

using System;
using System.Collections.Generic;
 
// Node class definition
public class Node {
  public int data;
  public Node left, right;
}
 
public class VerticalOrderTraversal {
 
  // Driver code
  static void Main()
  {
    // Create binary tree shown in above figure
    Node root = newNode(1);
    root.left = newNode(2);
    root.right = newNode(3);
    root.left.left = newNode(4);
    root.left.right = newNode(5);
    root.right.left = newNode(6);
    root.right.right = newNode(7);
    root.right.left.right = newNode(8);
    root.right.right.right = newNode(9);
 
    Console.WriteLine("Vertical order traversal is ");
    VerticalOrder(root);
  }
 
  // A utility function to create a new Binary Tree node
  static Node newNode(int data)
  {
    Node temp = new Node();
    temp.data = data;
    temp.left = temp.right = null;
    return temp;
  }
 
  // Function to find the vertical order traversal of
  // Binary Tree.
  static void VerticalOrder(Node root)
  {
    Queue<Tuple<Node, Tuple<int, int> > > qu
      = new Queue<Tuple<Node, Tuple<int, int> > >();
    // node, vertical, level
    var minH = new SortedSet<
      Tuple<Tuple<int, int>, Tuple<int, int> > >();
     
    // Vertical, Level, BFSNo, Val
    int v = 0;
    int l = 0;
    qu.Enqueue(new Tuple<Node, Tuple<int, int> >(
      root, new Tuple<int, int>(v, l)));
 
    // LEVEL order traversal
    while (qu.Count != 0) {
      int s = qu.Count;
      int i = 0;
 
      while (i < s) {
        Node node = qu.Peek().Item1;
        v = qu.Peek().Item2.Item1;
        l = qu.Peek().Item2.Item2;
 
        // Vertical indx, Levelindx, BFSNo, Val -
        // Insertion
        minH.Add(new Tuple<Tuple<int, int>,
                 Tuple<int, int> >(
                   new Tuple<int, int>(v, l),
                   new Tuple<int, int>(i, node.data)));
 
        qu.Dequeue();
        if (node.left != null)
          qu.Enqueue(
          new Tuple<Node, Tuple<int, int> >(
            node.left, new Tuple<int, int>(
              v - 1, l + 1)));
        if (node.right != null)
          qu.Enqueue(
          new Tuple<Node, Tuple<int, int> >(
            node.right, new Tuple<int, int>(
              v + 1, l + 1)));
 
        i++;
      }
    }
 
    while (minH.Count != 0) {
      int vi = minH.Min.Item1.Item1;
      Console.Write(minH.Min.Item2.Item2 + " ");
      minH.Remove(minH.Min);
      if (minH.Count != 0
          && vi != minH.Min.Item1.Item1)
        Console.WriteLine();
    }
  }
}

Java

import java.util.LinkedList;
import java.util.Queue;
import java.util.SortedSet;
import java.util.TreeSet;
 
// Tuple class definition
class Tuple<T1, T2> {
 
    // Data members
    public final T1 first;
    public final T2 second;
 
    // Constructor
    public Tuple(T1 item1, T2 item2)
    {
        this.first = item1;
        this.second = item2;
    }
}
 
// Node class definition
class Node {
    public int data;
    public Node left, right;
}
 
class VerticalOrderTraversal {
 
    // Driver code
    public static void main(String[] args)
    {
        // Create binary tree shown in above figure
        Node root = newNode(1);
        root.left = newNode(2);
        root.right = newNode(3);
        root.left.left = newNode(4);
        root.left.right = newNode(5);
        root.right.left = newNode(6);
        root.right.right = newNode(7);
        root.right.left.right = newNode(8);
        root.right.right.right = newNode(9);
 
        System.out.println("Vertical order traversal is ");
        verticalOrder(root);
    }
 
    // A utility function to create a new Binary Tree node
    public static Node newNode(int data)
    {
        Node temp = new Node();
        temp.data = data;
        temp.left = temp.right = null;
        return temp;
    }
 
    // Function to find the vertical order traversal of
    // Binary Tree.
    public static void verticalOrder(Node root)
    {
        Queue<Tuple<Node, Tuple<Integer, Integer> > > qu
            = new LinkedList<>();
        // node, vertical, level
        SortedSet<Tuple<Tuple<Integer, Integer>,
                        Tuple<Integer, Integer> > > minH
            = new TreeSet<>((o1, o2) -> {
                  if (o1.first.first.equals(
                          o2.first.first)) {
                      if (o1.first.second.equals(
                              o2.first.second)) {
                          return o1.second.first.compareTo(
                              o2.second.first);
                      }
                      return o1.first.second.compareTo(
                          o2.first.second);
                  }
                  return o1.first.first.compareTo(
                      o2.first.first);
              });
 
        // Vertical, Level, BFSNo, Val
        int v = 0;
        int l = 0;
        qu.add(new Tuple<Node, Tuple<Integer, Integer> >(
            root, new Tuple<Integer, Integer>(v, l)));
 
        // LEVEL order traversal
        while (!qu.isEmpty()) {
            int s = qu.size();
            int i = 0;
 
            while (i < s) {
                Node node = qu.peek().first;
                v = qu.peek().second.first;
                l = qu.peek().second.second;
 
                // Vertical indx, Levelindx, BFSNo, Val -
                // Insertion
                minH.add(
                    new Tuple<Tuple<Integer, Integer>,
                              Tuple<Integer, Integer> >(
                        new Tuple<Integer, Integer>(v, l),
                        new Tuple<Integer, Integer>(
                            i, node.data)));
 
                qu.remove();
                if (node.left != null)
                    qu.add(
                        new Tuple<Node,
                                  Tuple<Integer, Integer> >(
                            node.left,
                            new Tuple<Integer, Integer>(
                                v - 1, l + 1)));
                if (node.right != null)
                    qu.add(
                        new Tuple<Node,
                                  Tuple<Integer, Integer> >(
                            node.right,
                            new Tuple<Integer, Integer>(
                                v + 1, l + 1)));
 
                i++;
            }
        }
         
          // If the minHeap is not empty
        while (!minH.isEmpty()) {
            int vi = minH.first().first.first;
            System.out.print(minH.first().second.second
                             + " ");
            minH.remove(minH.first());
            if (!minH.isEmpty()
                && vi != minH.first().first.first)
                System.out.println();
        }
    }
}

Python3

from typing import Tuple
import queue
import heapq
 
# Tuple class definition
class Tuple:
 
    # Data members
    def __init__(self, item1, item2):
        self.first = item1
        self.second = item2
     
    def __lt__(self, other):
        return (self.first, self.second) < (other.first, other.second)
 
# Node class definition
class Node:
    def __init__(self):
        self.data = 0
        self.left = None
        self.right = None
 
class VerticalOrderTraversal:
 
    # Driver code
    @staticmethod
    def main():
        # Create binary tree shown in above figure
        root = VerticalOrderTraversal.newNode(1)
        root.left = VerticalOrderTraversal.newNode(2)
        root.right = VerticalOrderTraversal.newNode(3)
        root.left.left = VerticalOrderTraversal.newNode(4)
        root.left.right = VerticalOrderTraversal.newNode(5)
        root.right.left = VerticalOrderTraversal.newNode(6)
        root.right.right = VerticalOrderTraversal.newNode(7)
        root.right.left.right = VerticalOrderTraversal.newNode(8)
        root.right.right.right = VerticalOrderTraversal.newNode(9)
 
        print("Vertical order traversal is ")
        VerticalOrderTraversal.verticalOrder(root)
 
    # A utility function to create a new Binary Tree node
    @staticmethod
    def newNode(data):
        temp = Node()
        temp.data = data
        temp.left = temp.right = None
        return temp
 
    # Function to find the vertical order traversal of
    # Binary Tree.
    @staticmethod
    def verticalOrder(root):
        qu = queue.Queue()
        # node, vertical, level
        minH = []
 
        # Vertical, Level, BFSNo, Val
        v = 0
        l = 0
        qu.put(Tuple(root, Tuple(v, l)))
 
        # LEVEL order traversal
        while not qu.empty():
            s = qu.qsize()
            i = 0
 
            while i < s:
                node = qu.queue[0].first
                v = qu.queue[0].second.first
                l = qu.queue[0].second.second
 
                # Vertical indx, Levelindx, BFSNo, Val -
                # Insertion
                heapq.heappush(
                    minH,
                    Tuple(
                        Tuple(v, l),
                        Tuple(i, node.data)
                    )
                )
 
                qu.get()
                if node.left != None:
                    qu.put(
                        Tuple(
                            node.left,
                            Tuple(v - 1, l + 1)
                        )
                    )
                if node.right != None:
                    qu.put(
                        Tuple(
                            node.right,
                            Tuple(v + 1, l + 1)
                        )
                    )
 
                i += 1
 
        # If the minHeap is not empty
        while len(minH) > 0:
            vi = minH[0].first.first
            print(minH[0].second.second, end=" ")
            heapq.heappop(minH)
            if len(minH) > 0 and vi != minH[0].first.first:
                print()
 
# Driver code
if __name__ == '__main__':
    VerticalOrderTraversal.main()

Javascript

// Node class definition
class Node {
  constructor(data) {
    this.data = data;
    this.left = null;
    this.right = null;
  }
}
 
function verticalOrderTraversal() {
  // Create binary tree shown in above figure
  const root = newNode(1);
  root.left = newNode(2);
  root.right = newNode(3);
  root.left.left = newNode(4);
  root.left.right = newNode(5);
  root.right.left = newNode(6);
  root.right.right = newNode(7);
  root.right.left.right = newNode(8);
  root.right.right.right = newNode(9);
 
  process.stdout.write("Vertical order traversal is \n");
  verticalOrder(root);
}
 
// A utility function to create a new Binary Tree node
function newNode(data) {
  const temp = new Node();
  temp.data = data;
  temp.left = temp.right = null;
  return temp;
}
 
// Function to find the vertical order traversal of Binary Tree.
function verticalOrder(root) {
  const queue = [];
  const minHeap = new Map();
  let v = 0;
  let l = 0;
  queue.push([root, [v, l]]);
 
  // LEVEL order traversal
  while (queue.length !== 0) {
    const s = queue.length;
 
    for (let i = 0; i < s; i++) {
      const [node, [v, l]] = queue.shift();
 
      // Vertical indx, Levelindx, BFSNo, Val -
      // Insertion
      const key = `${v},${l}`;
      const value = [i, node.data];
      if (!minHeap.has(key)) {
        minHeap.set(key, []);
      }
      minHeap.get(key).push(value);
 
      if (node.left !== null) {
        queue.push([node.left, [v - 1, l + 1]]);
      }
      if (node.right !== null) {
        queue.push([node.right, [v + 1, l + 1]]);
      }
    }
  }
 
  for (const [key, values] of [...minHeap.entries()].sort(
      function([a_k, a_v], [b_k, b_v])
      {
          let a = parseInt(a_k.split(",")[0])
          let b = parseInt(b_k.split(",")[0])
          return a - b;
      }
      )) {
    for (const value of values) {
      process.stdout.write(value[1] + " ");
    }
    process.stdout.write(" \n");
  }
}
 
verticalOrderTraversal();

Output

Vertical order traversal is 
4 
2 
1 5 6 
3 8 
7 
9

Time Complexity: O(N*LogN) Time

Reason:

Normal Level Order (BFS) Traversal takes O(N).
But here we are pushing into MinHeap – Single push O(LogN).
So Overall O(N*LogN).
Also while popping out from minHeap O(N*LogN).

Auxiliary Space: O(N)

Reason:

The queue will have max at Last Level O(N/2) = O(N).
The heap also stores all the nodes at a point, so O(N).

N is the Size of the Binary Tree. (Total no. of nodes)

The above Method-2 Idea, Algorithm, and Code are done by Balakrishnan R (rbkraj000 – GFG ID). If you like zambiatek and would like to contribute, you can also write an article using write.zambiatek.com or mail your article to review-team@zambiatek.com. See your article appearing on the zambiatek main page and help other Geeks.

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