是否将vector<vector<double> >转换为特征矩阵？

import numpy as np

# 假设vector是一个包含vector<vector<double>>的列表
vector = [[1.0, 2.0, 3.0], [4.0, 5.0, 6.0], [7.0, 8.0, 9.0]]

# 将vector转换为特征矩阵
feature_matrix = np.array(vector)

print(feature_matrix)

#include <iostream>
#include <vector>

int main() {
    // 假设vector是一个包含vector<vector<double>>的向量
    std::vector<std::vector<double>> vector = {{1.0, 2.0, 3.0}, {4.0, 5.0, 6.0}, {7.0, 8.0, 9.0}};

    // 获取vector的行数和列数
    int rows = vector.size();
    int cols = vector[0].size();

    // 创建特征矩阵
    std::vector<std::vector<double>> feature_matrix(rows, std::vector<double>(cols));

    // 将vector转换为特征矩阵
    for (int i = 0; i < rows; i++) {
        for (int j = 0; j < cols; j++) {
            feature_matrix[i][j] = vector[i][j];
        }
    }

    // 打印特征矩阵
    for (int i = 0; i < rows; i++) {
        for (int j = 0; j < cols; j++) {
            std::cout << feature_matrix[i][j] << " ";
        }
        std::cout << std::endl;
    }

    return 0;
}