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Spiral Matrix Traversal in DSA Python - Cheat Sheet & Quick Revision

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Recall & Review
beginner
What is Spiral Matrix Traversal?
It is a way to visit all elements of a matrix by moving in a spiral order, starting from the top-left corner and moving right, down, left, and up repeatedly until all elements are visited.
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beginner
Which directions are followed in Spiral Matrix Traversal?
The directions followed are: right → down → left → up, repeated in this order until all elements are covered.
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intermediate
What variables help track the boundaries in Spiral Matrix Traversal?
Four variables track boundaries: top (start row), bottom (end row), left (start column), and right (end column). These shrink inward as we traverse the matrix.
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intermediate
Why do we update boundaries after each direction in Spiral Matrix Traversal?
Updating boundaries prevents revisiting elements. After moving right, top boundary moves down; after moving down, right boundary moves left; after moving left, bottom boundary moves up; after moving up, left boundary moves right.
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beginner
What is the time complexity of Spiral Matrix Traversal for an m x n matrix?
The time complexity is O(m * n) because every element in the matrix is visited exactly once.
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In Spiral Matrix Traversal, which direction do we move first?
ALeft
BDown
CRight
DUp
Which boundary is updated after moving right in Spiral Matrix Traversal?
ARight boundary moves left
BBottom boundary moves up
CLeft boundary moves right
DTop boundary moves down
What happens when the top boundary crosses the bottom boundary during traversal?
ATraversal ends
BContinue moving right
CReset boundaries
DMove up
What is the main purpose of tracking four boundaries in Spiral Matrix Traversal?
ATo avoid revisiting elements
BTo count elements
CTo sort the matrix
DTo find the largest element
How many times is each element visited in Spiral Matrix Traversal?
ANever
BOnce
CDepends on matrix size
DTwice
Explain how to perform Spiral Matrix Traversal on a 2D matrix.
Think about shrinking the edges inward as you move.
You got /4 concepts.
    Describe the role of the top, bottom, left, and right boundaries in Spiral Matrix Traversal.
    Boundaries act like walls closing in on the center.
    You got /4 concepts.

      Practice

      (1/5)
      1. What is the main idea behind Spiral Matrix Traversal?
      easy
      A. Traverse the matrix in a spiral order starting from the top-left corner
      B. Traverse the matrix row by row from left to right only
      C. Traverse the matrix column by column from top to bottom only
      D. Traverse the matrix diagonally from top-left to bottom-right

      Solution

      1. Step 1: Understand traversal pattern

        Spiral traversal means moving around the matrix edges and gradually moving inward in a circular pattern.
      2. Step 2: Identify starting point and direction

        It starts at the top-left corner and moves right, then down, then left, then up, repeating until all elements are visited.
      3. Final Answer:

        Traverse the matrix in a spiral order starting from the top-left corner -> Option A
      4. Quick Check:

        Spiral traversal = circular edge-wise movement [OK]
      Hint: Think of peeling an onion layer by layer in a circle [OK]
      Common Mistakes:
      • Confusing spiral with row-wise or column-wise traversal
      • Starting traversal from the wrong corner
      • Ignoring direction changes after each edge
      2. Which of the following Python code snippets correctly initializes the boundaries for spiral traversal of a matrix named matrix?
      easy
      A. top = 1; bottom = len(matrix); left = 1; right = len(matrix[0])
      B. top = 0; bottom = len(matrix) - 1; left = 0; right = len(matrix[0]) - 1
      C. top = 0; bottom = len(matrix); left = 0; right = len(matrix[0])
      D. top = 1; bottom = len(matrix) - 1; left = 1; right = len(matrix[0]) - 1

      Solution

      1. Step 1: Understand matrix boundaries

        For a matrix, top and left start at 0, bottom is last row index (length - 1), right is last column index (length - 1).
      2. Step 2: Check each option

        top = 0; bottom = len(matrix) - 1; left = 0; right = len(matrix[0]) - 1 correctly sets top=0, bottom=len(matrix)-1, left=0, right=len(matrix[0])-1 which matches the matrix indices.
      3. Final Answer:

        top = 0; bottom = len(matrix) - 1; left = 0; right = len(matrix[0]) - 1 -> Option B
      4. Quick Check:

        Boundary indices start at 0 and end at length-1 [OK]
      Hint: Remember Python indexing starts at 0, so subtract 1 for last index [OK]
      Common Mistakes:
      • Using length instead of length - 1 for bottom and right
      • Starting top or left at 1 instead of 0
      • Mixing row and column lengths
      3. What is the output of the following Python code?
      matrix = [
        [1, 2, 3],
        [4, 5, 6],
        [7, 8, 9]
      ]
      result = []
      top, bottom = 0, 2
      left, right = 0, 2
      while top <= bottom and left <= right:
          for i in range(left, right + 1):
              result.append(matrix[top][i])
          top += 1
          for i in range(top, bottom + 1):
              result.append(matrix[i][right])
          right -= 1
          for i in range(right, left - 1, -1):
              result.append(matrix[bottom][i])
          bottom -= 1
          for i in range(bottom, top - 1, -1):
              result.append(matrix[i][left])
          left += 1
      print(result)
      medium
      A. [1, 2, 3, 6, 9, 8, 7, 4, 5]
      B. [1, 2, 3, 6, 9, 8, 7, 5, 4]
      C. [1, 2, 3, 6, 9, 7, 8, 4, 5]
      D. [1, 2, 3, 6, 9, 8, 7, 4]

      Solution

      1. Step 1: Traverse top row left to right

        Elements: 1, 2, 3 added to result.
      2. Step 2: Traverse right column top to bottom

        Elements: 6, 9 added to result.
      3. Step 3: Traverse bottom row right to left

        Elements: 8, 7 added to result.
      4. Step 4: Traverse left column bottom to top

        Element: 4 added to result.
      5. Step 5: Inner layer traversal

        Only element 5 remains, added last.
      6. Final Answer:

        [1, 2, 3, 6, 9, 8, 7, 4, 5] -> Option A
      7. Quick Check:

        Spiral order = [1,2,3,6,9,8,7,4,5] [OK]
      Hint: Follow edges clockwise, then move inward layer by layer [OK]
      Common Mistakes:
      • Skipping the last inner element
      • Repeating elements or missing elements
      • Wrong direction in bottom or left traversal
      4. The following code attempts spiral traversal but produces an error. What is the main bug?
      matrix = [[1,2,3],[4,5,6],[7,8,9]]
      top, bottom = 0, 2
      left, right = 0, 2
      result = []
      while top <= bottom and left <= right:
          for i in range(left, right + 1):
              result.append(matrix[top][i])
          top += 1
          for i in range(top, bottom + 1):
              result.append(matrix[i][right])
          right -= 1
          for i in range(right, left - 1, -1):
              result.append(matrix[bottom][i])
          bottom -= 1
          for i in range(bottom, top - 1, -1):
              result.append(matrix[i][left])
          left += 1
      print(result)
      medium
      A. The code uses incorrect range in the first for loop
      B. The code uses wrong indices for left and right boundaries
      C. The code does not check if top <= bottom before traversing bottom row
      D. The code misses incrementing the left boundary

      Solution

      1. Step 1: Analyze loop conditions

        The while loop checks top <= bottom and left <= right before each full cycle.
      2. Step 2: Identify missing checks inside loop

        After updating top and right, the code traverses bottom row and left column without checking if top <= bottom or left <= right again, causing index errors when boundaries cross.
      3. Final Answer:

        The code does not check if top <= bottom before traversing bottom row -> Option C
      4. Quick Check:

        Boundary checks needed before each edge traversal [OK]
      Hint: Check boundaries before each edge traversal inside the loop [OK]
      Common Mistakes:
      • Assuming one boundary check per loop is enough
      • Not updating boundaries correctly
      • Ignoring empty or single-row/column matrices
      5. Given a rectangular matrix of size 3x4:
      matrix = [
        [1, 2, 3, 4],
        [5, 6, 7, 8],
        [9, 10, 11, 12]
      ]

      What is the spiral traversal output?
      hard
      A. [1, 2, 3, 4, 8, 12, 11, 10, 9, 6, 5, 7]
      B. [1, 2, 3, 4, 8, 12, 11, 10, 9, 5, 7, 6]
      C. ]6 ,7 ,5 ,9 ,01 ,11 ,21 ,8 ,4 ,3 ,2 ,1[
      D. [1, 2, 3, 4, 8, 12, 11, 10, 9, 5, 6, 7]

      Solution

      1. Step 1: Traverse top row left to right

        Elements: 1, 2, 3, 4 added.
      2. Step 2: Traverse right column top to bottom

        Elements: 8, 12 added.
      3. Step 3: Traverse bottom row right to left

        Elements: 11, 10, 9 added.
      4. Step 4: Traverse left column bottom to top

        Element: 5 added.
      5. Step 5: Traverse inner row left to right

        Elements: 6, 7 added.
      6. Final Answer:

        [1, 2, 3, 4, 8, 12, 11, 10, 9, 5, 6, 7] -> Option D
      7. Quick Check:

        Spiral order covers all elements layer by layer [OK]
      Hint: Follow edges clockwise, then move inward carefully for rectangular matrices [OK]
      Common Mistakes:
      • Mixing order of inner elements
      • Skipping or repeating elements in inner layers
      • Confusing left column traversal direction
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