DSA · Theory

Vertical order traversal of Binary Tree using Map

Theory

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Vertical order traversal of Binary Tree using Map

Priya only reaches for Vertical order traversal of Binary Tree using Map when folder on disk has to stay correct in a file explorer.

For Vertical order traversal of Binary Tree using Map, a dry-run table is in play. Don’t blame it until you have traced folder on disk.

Vertical order traversal of Binary Tree using Map exists so Priya can keep folder on disk correct in a file explorer.

Priya ships Vertical order traversal of Binary Tree using Map in a file explorer. That is the use case worth saying.

Vertical order traversal of Binary Tree using Map trap: unbalanced BST becoming a list. Priya loses marks for that every viva.

Place Vertical order traversal of Binary Tree using Map next to nearby DSA work — left < root < right is the link.

Close Vertical order traversal of Binary Tree using Map with: “If I skip it, folder on disk goes wrong like this: unbalanced BST becoming a list.”

Exam tip

Say Vertical order traversal of Binary Tree using Map in one breath, then left < root < right, then 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 — Priya uses it for folder on disk in a file explorer.
RuleVertical order traversal of Binary Tree using Map → left < root < right.
RememberVertical order traversal of Binary Tree using Map + a dry-run table (a file explorer).
UseVertical order traversal of Binary Tree using Map in a file explorer (folder on disk).
TrapVertical order traversal of Binary Tree using Map — unbalanced BST becoming a list.
ExVertical order traversal of Binary Tree using Map → folder on disk.

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