LeetCode 0048. Rotate Image Solution in Java, Python, C++, JavaScript, Go & Rust | Explanation + Code

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0048. Rotate Image

Description

You are given an n x n 2D matrix representing an image, rotate the image by 90 degrees (clockwise).

You have to rotate the image in-place, which means you have to modify the input 2D matrix directly. DO NOT allocate another 2D matrix and do the rotation.

 

Example 1:

Input: matrix = [[1,2,3],[4,5,6],[7,8,9]]
Output: [[7,4,1],[8,5,2],[9,6,3]]

Example 2:

Input: matrix = [[5,1,9,11],[2,4,8,10],[13,3,6,7],[15,14,12,16]]
Output: [[15,13,2,5],[14,3,4,1],[12,6,8,9],[16,7,10,11]]

 

Constraints:

  • n == matrix.length == matrix[i].length
  • 1 <= n <= 20
  • -1000 <= matrix[i][j] <= 1000

Solutions

Solution 1: In-place Rotation

According to the problem requirements, we need to rotate matrix[i][j] to matrix[j][n - i - 1].

We can first flip the matrix upside down, i.e., swap matrix[i][j] with matrix[n - i - 1][j], and then flip the matrix along the main diagonal, i.e., swap matrix[i][j] with matrix[j][i]. This way, we can rotate matrix[i][j] to matrix[j][n - i - 1].

The time complexity is O(n^2), where n is the side length of the matrix. The space complexity is O(1).

PythonJavaC++GoTypeScriptRustJavaScriptC#
class Solution: def rotate(self, matrix: List[List[int]]) -> None: n = len(matrix) for i in range(n >> 1): for j in range(n): matrix[i][j], matrix[n - i - 1][j] = matrix[n - i - 1][j], matrix[i][j] for i in range(n): for j in range(i): matrix[i][j], matrix[j][i] = matrix[j][i], matrix[i][j](code-box)

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