README_EN.md

566. Reshape the Matrix

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Description

In MATLAB, there is a handy function called reshape which can reshape an m x n matrix into a new one with a different size r x c keeping its original data.

You are given an m x n matrix mat and two integers r and c representing the number of rows and the number of columns of the wanted reshaped matrix.

The reshaped matrix should be filled with all the elements of the original matrix in the same row-traversing order as they were.

If the reshape operation with given parameters is possible and legal, output the new reshaped matrix; Otherwise, output the original matrix.

 

Example 1:

Input: mat = [[1,2],[3,4]], r = 1, c = 4
Output: [[1,2,3,4]]

Example 2:

Input: mat = [[1,2],[3,4]], r = 2, c = 4
Output: [[1,2],[3,4]]

 

Constraints:

• m == mat.length
• n == mat[i].length
• 1 <= m, n <= 100
• -1000 <= mat[i][j] <= 1000
• 1 <= r, c <= 300

Solutions

Python3

class Solution:
    def matrixReshape(self, nums: List[List[int]], r: int, c: int) -> List[List[int]]:
        m, n = len(nums), len(nums[0])
        if m * n != r * c:
            return nums
        res = [[0] * c for _ in range(r)]
        for x in range(m * n):
            res[x // c][x % c] = nums[x // n][x % n]
        return res

Java

class Solution {
    public int[][] matrixReshape(int[][] nums, int r, int c) {
        int m = nums.length, n = nums[0].length;
        if (m * n != r * c) return nums;
        int[][] res = new int[r][c];
        for (int i = 0; i < m * n; ++i) {
            res[i / c][i % c] = nums[i / n][i % n];
        }
        return res;
    }
}

TypeScrpt

function matrixReshape(mat: number[][], r: number, c: number): number[][] {
    let m = mat.length,
        n = mat[0].length;
    if (m * n != r * c) return mat;
    let ans = Array.from({ length: r }, v => new Array(c).fill(0));
    let k = 0;
    for (let i = 0; i < m; ++i) {
        for (let j = 0; j < n; ++j) {
            ans[Math.floor(k / c)][k % c] = mat[i][j];
            ++k;
        }
    }
    return ans;
}

Rust

impl Solution {
    pub fn matrix_reshape(mat: Vec<Vec<i32>>, r: i32, c: i32) -> Vec<Vec<i32>> {
        let r = r as usize;
        let c = c as usize;
        let m = mat.len();
        let n = mat[0].len();
        if m * n != r * c {
            return mat;
        }
        let mut i = 0;
        let mut j = 0;
        (0..r)
            .into_iter()
            .map(|_| {
                (0..c)
                    .into_iter()
                    .map(|_| {
                        let res = mat[i][j];
                        j += 1;
                        if j == n {
                            j = 0;
                            i += 1;
                        }
                        res
                    })
                    .collect()
            })
            .collect()
    }
}

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