Features
1. It can compress data and reduce the use of memory space.
Process
2. Record the coordinates and values of the array elements.
3. The sparse array has 3 columns, namely rows, columns, and values. The number of rows is the number of different values in the original array plus 1;
array[0] records a set of row numbers and The number of columns, and the number of different values;
Then each row records a value and marks its own value under the rows and columns of the original array.
Example
public static void main(String[] args) { //创建一个原始的二维数组 //0:没有棋子,1:黑子,2:白子 int chessArr1[][] = new int[11][11]; //下面先固定二维数组的元素,后面可优化~ chessArr1[1][2] = 1; chessArr1[2][3] = 2; chessArr1[4][5] = 2; //输出原始的二维数组: System.out.println("原始的二维数组:"); printArray(chessArr1); //下面将二维数组转化为稀疏数组 //1.先遍历二维数组,得到非0数据的个数 int sum = 0; for (int i = 0; i < 11; i++) { for (int j = 0; j < 11; j++) { if (chessArr1[i][j] != 0) { sum++; } } } //2.创建对应的稀疏数组 int sparesArr[][] = new int[sum + 1][3]; //给稀疏数组赋值 sparesArr[0][0] = 11; sparesArr[0][1] = 11; sparesArr[0][2] = sum; //遍历二维数组,将非0的值存放在sparesArr中 int count = 0;//count 用于记录是第几个非0数据 for (int i = 0; i < 11; i++) { for (int j = 0; j < 11; j++) { if (chessArr1[i][j] != 0) { count++; sparesArr[count][0] = i; sparesArr[count][1] = j; sparesArr[count][2] = chessArr1[i][j]; } } } //输出稀疏数组的形式 System.out.println(); System.out.println("得到的稀疏数组为:"); printArray(sparesArr); System.out.println(); //下面将稀疏数组恢复成二维数组 //先读取稀疏数组的第一行元素,根据其数据,创建原始的二维数组 int chessArr2[][] = new int[sparesArr[0][0]][sparesArr[0][1]]; //读取稀疏数组后几行的元素(从第二行开始),并赋值给原始的二维数组即可 for (int i = 1; i < sparesArr.length; i++) { chessArr2[sparesArr[i][0]][sparesArr[i][1]] = sparesArr[i][2]; } //输出恢复后的二维数组 System.out.println(); System.out.println("恢复后的二维数组"); printArray(chessArr2); } //打印数组 public static void printArray(int[][] array) { for (int i = 0; i < array.length; i++) { for (int j = 0; j < array[0].length; j++) { System.out.printf("%d\t", array[i][j]); } System.out.println(); } }
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