Skip to content

Latest commit

 

History

History
115 lines (79 loc) · 2.16 KB

File metadata and controls

115 lines (79 loc) · 2.16 KB

中文文档

Description

Given a matrix A, return the transpose of A.

The transpose of a matrix is the matrix flipped over it's main diagonal, switching the row and column indices of the matrix.


 

Example 1:

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

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

Example 2:

Input: [[1,2,3],[4,5,6]]

Output: [[1,4],[2,5],[3,6]]

 

Note:

  1. 1 <= A.length <= 1000
  2. 1 <= A[0].length <= 1000

Solutions

Python3

class Solution:
    def transpose(self, matrix: List[List[int]]) -> List[List[int]]:
        m, n = len(matrix), len(matrix[0])
        res = [[0] * m for _ in range(n)]
        for i in range(n):
            for j in range(m):
                res[i][j] = matrix[j][i]
        return res

Java

class Solution {
    public int[][] transpose(int[][] matrix) {
        int m = matrix.length, n = matrix[0].length;
        int[][] res = new int[n][m];
        for (int i = 0; i < n; ++i) {
            for (int j = 0; j < m; ++j) {
                res[i][j] = matrix[j][i];
            }
        }
        return res;
    }
}

JavaScript

/**
 * @param {number[][]} matrix
 * @return {number[][]}
 */
var transpose = function (matrix) {
  const m = matrix.length,
    n = matrix[0].length;
  let res = [];
  for (let i = 0; i < n; ++i) {
    res[i] = [];
    for (let j = 0; j < m; ++j) {
      res[i][j] = matrix[j][i];
    }
  }
  return res;
};

...