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Vertical order traversal of Binary Tree using Map

Theory

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Vertical order traversal of Binary Tree using Map

Vertical order traversal of Binary Tree using Map is a DSA topic. In plain words you use it for folder on disk in a file explorer. Don’t start with a slogan — start with that picture.

Smallest example: left < root < right. Type it, run it, and say what you see. If you can do that from memory, you know Vertical order traversal of Binary Tree using Map.

From the example next to this theory: Vertical order traversal of Binary Tree using Map — inorder walks left → node → right (sorted order for a BST).

Trap — unbalanced BST becoming a list. Fix that before you talk about advanced DSA.

Viva — what is Vertical order traversal of Binary Tree using Map? Then show left < root < right. Then name the trap.

Exam tip

What is Vertical order traversal of Binary Tree using Map? Show this: left < root < right. Trap: unbalanced BST becoming a list.

Example

class Node:
    def __init__(self, val, left=None, right=None):
        self.val, self.left, self.right = val, left, right

def inorder(n):
    if not n:
        return []
    return inorder(n.left) + [n.val] + inorder(n.right)

root = Node(2, Node(1), Node(3))
print(inorder(root))

Vertical order traversal of Binary Tree using Map — inorder walks left → node → right (sorted order for a BST).

Short notes

DefVertical order traversal of Binary Tree using Map — folder on disk in a file explorer.
Ruleleft < root < right
Trapunbalanced BST becoming a list
Usea file explorer

class Node: def __init__(self, val, left=None, right=None): self.val, self.left, self.right = val, left, right def inorder(n): if not n: return [] return inorder(n.left) + [n.val] + inorder(n.right) root = Node(2, Node(1), Node(3)) print(inorder(root))

Vertical order traversal of Binary Tree using Map

Example

Short notes

Questions

Vertical order traversal of Binary Tree using Map

Example

Short notes

Questions