Problem
You are given a 0-indexed 1-dimensional (1D) integer array original
, and two integers, m
and n
. You are tasked with creating a 2-dimensional (2D) array with m
rows and n
columns using all the elements from original
.
The elements from indices 0
to n - 1
(inclusive) of original
should form the first row of the constructed 2D array, the elements from indices n
to 2 * n - 1
(inclusive) should form the second row of the constructed 2D array, and so on.
Return an m x n
2D array constructed according to the above procedure, or an empty 2D array if it is impossible.
Examples
Example 1:
$$ original = \begin{bmatrix} 1 & 2 & 3 & 4 \end{bmatrix} $$ $$ output = \begin{bmatrix} 1 & 2 \\ 3 & 4 \end{bmatrix} $$
Input: original = [1,2,3,4], m = 2, n = 2
Output:[[1,2],[3,4]]
Explanation: The constructed 2D array should contain 2 rows and 2 columns.
The first group of n=2 elements in original, [1,2], becomes the first row in the constructed 2D array.
The second group of n=2 elements in original, [3,4], becomes the second row in the constructed 2D array.
Example 2:
Input: original = [1,2,3], m = 1, n = 3
Output:[[1,2,3]]
Explanation: The constructed 2D array should contain 1 row and 3 columns.
Put all three elements in original into the first row of the constructed 2D array.
Example 3:
Input: original = [1,2], m = 1, n = 1
Output: []
Explanation: There are 2 elements in original.
It is impossible to fit 2 elements in a 1x1 2D array, so return an empty 2D array.
Solution
Video Explanation
Please refer the video for more explanation:
Method 1 - Index mapping with number of columns
Here are the steps we can take:
- Step 1: Check if it’s possible to construct the 2D array - Before proceeding, we check if the length of the
original
array is equal to (m * n
). If it’s not, it means that we cannot reshape the 1D array into the specified 2D array dimensions, so we return an empty 2D array. - Step 2: Fill the 2D array with elements from original
- If the check passes, we proceed to initialize a 2D array
result
with dimensions ( m \times n ). - We iterate through the
original
array and for each indexi
, calculate the corresponding row (i / n
) and column (i % n
) in the 2D array. - We then place the element from
original[i]
intoresult[row][col]
.
- If the check passes, we proceed to initialize a 2D array
Code
Java
public class Solution {
public int[][] construct2DArray(int[] original, int m, int n) {
// Step 1: Check if it's possible to construct the 2D array
if (original.length != m * n) {
return new int[0][0]; // Return an empty 2D array
}
int[][] ans = new int[m][n];
// Step 2: Fill the 2D array with elements from 'original'
for (int i = 0; i < original.length; i++) {
int row = i / n;
int col = i % n;
ans[row][col] = original[i];
}
return ans;
}
}
Python
def construct2DArray(original, m, n):
# Step 1: Check if it's possible to construct the 2D array
if len(original) != m * n:
return []
# Step 2: Initialize the 2D array
ans = [[0] * n for _ in range(m)]
# Step 3: Fill the 2D array with elements from 'original'
for i in range(len(original)):
row = i // n
col = i % n
ans[row][col] = original[i]
return ans
Complexity
- ⏰ Time complexity:
O(N)
whereN = m*n
is number of elements in the original array - 🧺 Space complexity:
O(N)
because we create new matrix of sizeO(m*n)
but this is not an extra space.
Method 2 - Looping on output matrix and using index from original
Code
Java
class Solution {
public int[][] construct2DArray(int[] original, int m, int n) {
if (m * n != original.length) {
return new int[0][0];
}
int[][] ans = new int[m][n];
int idx = 0;
for (int i = 0; i < m; ++i) {
for (int j = 0; j < n; ++j) {
ans[i][j] = original[idx++];
}
}
return ans;
}
}
Method 3 - Looping on output matrix and mapping index
Code
Java
class Solution {
public int[][] construct2DArray(int[] original, int m, int n) {
if (m * n != original.length) {
return new int[0][0];
}
int[][] ans = new int[m][n];
for (int i = 0; i < m; i++) {
for (int j = 0; j < n; j++) {
ans[i][j] = original[i * n + j];
}
}
return ans;
}
}