566. Reshape the Matrix
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
Solution
reshape-the-matrix.py
class Solution:
def matrixReshape(self, mat: List[List[int]], r: int, c: int) -> List[List[int]]:
rows, cols = len(mat), len(mat[0])
if rows * cols != c * r: return mat
res = [[0] * c for _ in range(r)]
index = 0
for i in range(rows):
for j in range(cols):
res[index // c][index % c] = mat[i][j]
index += 1
return res