如何在矩阵中添加新值

import numpy as np

# 创建一个初始矩阵
matrix = np.array([[1, 2, 3],
                   [4, 5, 6],
                   [7, 8, 9]])

# 添加新值到矩阵的末尾
new_value = 10
new_matrix = np.append(matrix, [[new_value]], axis=0)

print(new_matrix)

[[1 2 3]
 [4 5 6]
 [7 8 9]
 [10]]

const tf = require('@tensorflow/tfjs');

// 创建一个初始矩阵
const matrix = tf.tensor([[1, 2, 3],
                         [4, 5, 6],
                         [7, 8, 9]]);

// 添加新值到矩阵的末尾
const newValue = 10;
const newMatrix = tf.concat([matrix, tf.tensor([[newValue]])], 0);

console.log(newMatrix.toString());

[[1, 2, 3],
 [4, 5, 6],
 [7, 8, 9],
 [10]]

import org.apache.commons.math3.linear.*;

public class MatrixExample {
    public static void main(String[] args) {
        // 创建一个初始矩阵
        double[][] data = {{1, 2, 3},
                           {4, 5, 6},
                           {7, 8, 9}};
        RealMatrix matrix = MatrixUtils.createRealMatrix(data);

        // 添加新值到矩阵的末尾
        double newValue = 10;
        double[][] newData = new double[matrix.getRowDimension() + 1][matrix.getColumnDimension()];
        for (int i = 0; i < matrix.getRowDimension(); i++) {
            newData[i] = matrix.getRow(i);
        }
        newData[matrix.getRowDimension()] = new double[]{newValue};
        RealMatrix newMatrix = MatrixUtils.createRealMatrix(newData);

        System.out.println(newMatrix);
    }
}

{{1.0, 2.0, 3.0},
 {4.0, 5.0, 6.0},
 {7.0, 8.0, 9.0},
 {10.0}}