[LeetCode] 566. Reshape the Matrix_Easy

Posted

tags:

篇首语:本文由小常识网(cha138.com)小编为大家整理,主要介绍了[LeetCode] 566. Reshape the Matrix_Easy相关的知识,希望对你有一定的参考价值。

In MATLAB, there is a very useful function called ‘reshape‘, which can reshape a matrix into a new one with different size but keep its original data.

You‘re given a matrix represented by a two-dimensional array, and two positive integers r and c representing the row number and column number of the wanted reshaped matrix, respectively.

The reshaped matrix need to 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: 
nums = 
[[1,2],
 [3,4]]
r = 1, c = 4
Output: 
[[1,2,3,4]]
Explanation:
The row-traversing of nums is [1,2,3,4]. The new reshaped matrix is a 1 * 4 matrix, fill it row by row by using the previous list.

 

Example 2:

Input: 
nums = 
[[1,2],
 [3,4]]
r = 2, c = 4
Output: 
[[1,2],
 [3,4]]
Explanation:
There is no way to reshape a 2 * 2 matrix to a 2 * 4 matrix. So output the original matrix.

 

Note:

  1. The height and width of the given matrix is in range [1, 100].
  2. The given r and c are all positive.

 

利用queue, 如果lr*lc == r*c的话.

 

Code

class Solution:
    def reshapeMatrix(self, nums, r, c):
        lr, lc = len(nums), len(nums[0])
        if lr*lc != r*c: return nums
        ans, queue = [[0]*c for _ in range(c)], collections.deque()
        for i in range(lr):
            for j in range(lc):
                queue.append(nums[i][j])
        for i in range(r):
            for j in range(c):
                ans[i][j] = queue.popleft()
        return ans

 



以上是关于[LeetCode] 566. Reshape the Matrix_Easy的主要内容,如果未能解决你的问题,请参考以下文章

LeetCode - 566. Reshape the Matrix

LeetCode 566. Reshape the Matrix (重塑矩阵)

[LeetCode] 566. Reshape the Matrix_Easy

566. Reshape the Matrix - LeetCode

Leetcode566. Reshape the Matrix

leetcode 566 Reshape the Matrix 重塑矩阵