grid1D[row*col];
grid2D[row][col];
for(int i = 0; i < row; ++i)
for(int j = 0; j < col; ++j)
grid1D[i * col + j] = grid2D[i][j];
import numpy as np
twoDAry = [6.4],[5.9],[5.5],[5.3],[5.1],[4.9],[4.5],[4.5],[4.5],[4.3],[4.2],[3.8],[3.5],[2.8],[2.8],[2.8]
twoDAry = np.array(twoDAry)
print(twoDAry.reshape(1, -1)[0])
# Output
# [6.4 5.9 5.5 5.3 5.1 4.9 4.5 4.5 4.5 4.3 4.2 3.8 3.5 2.8 2.8 2.8]
arr2d = [[arr1d[i+j*width] for i in range(width)] for j in range(height)]
# Python code to demonstrate
# flattening a 2d numpy array
# into 1d array
import numpy as np
ini_array1 = np.array([[1, 2, 3], [2, 4, 5], [1, 2, 3]])
# printing initial arrays
print("initial array", str(ini_array1))
# Multiplying arrays
result = ini_array1.flatten()
# printing result
print("New resulting array: ", result)
public static int mode(int[][] arr)
{
int[] oneDArray = new int[arr.length * arr.length];
for(int i = 0; i < arr.length; i ++)
{
for(int s = 0; s < arr.length; s ++)
{
oneDArray[(i * arr.length) + s] = arr[i][s];
}
}
}
int array[width * height];
int SetElement(int row, int col, int value)
{
array[width * row + col] = value;
}
public static int mode(int[][] arr) {
List<Integer> list = new ArrayList<Integer>();
for (int i = 0; i < arr.length; i++) {
// tiny change 1: proper dimensions
for (int j = 0; j < arr[i].length; j++) {
// tiny change 2: actually store the values
list.add(arr[i][j]);
}
}
// now you need to find a mode in the list.
// tiny change 3, if you definitely need an array
int[] vector = new int[list.size()];
for (int i = 0; i < vector.length; i++) {
vector[i] = list.get(i);
}
}