x, y = np.meshgrid(np.arange(range_x), np.arange(range_y)) # np.savetxt('reshape_data.txt', x, delimiter=' ', fmt="%i") x_o = x - range_x / 2 y_o = y - range_y / 2 x_i = x - dx y_i = y - dy

这段代码的作用是创建一个平面网格，其中x和y的取值范围分别为0到range_x-1和0到range_y-1，然后将网格的中心移动到坐标系的原点，最后在x和y上分别减去dx和dy。其中，np.meshgrid()函数用于生成一个二维数组，np.arange()函数用于生成一个以0为起点，以指定长度为终点的等差数列。np.savetxt()函数用于将数据保存到文件中。

相关问题

range_x = 100 range_y=100 x, y = np.meshgrid(np.arange(range_x), np.arange(range_y)) # np.savetxt('reshape_data.txt', x, delimiter=' ', fmt="%i") x_o = x - range_x / 2 y_o = y - range_y / 2 x_i = x - dx y_i = y - dy 转C++

这段代码的C++实现如下：

int range_x = 100;
int range_y = 100;
vector<vector<int>> x(range_x, vector<int>(range_y));
vector<vector<int>> y(range_x, vector<int>(range_y));
for (int i = 0; i < range_x; i++) {
    for (int j = 0; j < range_y; j++) {
        x[i][j] = i;
        y[i][j] = j;
    }
}
vector<vector<int>> x_o(range_x, vector<int>(range_y));
vector<vector<int>> y_o(range_x, vector<int>(range_y));
vector<vector<int>> x_i(range_x, vector<int>(range_y));
vector<vector<int>> y_i(range_x, vector<int>(range_y));
for (int i = 0; i < range_x; i++) {
    for (int j = 0; j < range_y; j++) {
        x_o[i][j] = x[i][j] - range_x / 2;
        y_o[i][j] = y[i][j] - range_y / 2;
        x_i[i][j] = x[i][j] - dx;
        y_i[i][j] = y[i][j] - dy;
    }
}

其中，使用了vector来存储矩阵，通过双重循环遍历来实现numpy中的arange()函数的功能，最后分别计算了x_o、y_o、x_i和y_i。

x, y = np.meshgrid(np.arange(range_x), np.arange(range_y)) c++ Eigen::Tensor

The equivalent code in C++ using Eigen::Tensor would be:

#include <Eigen/Dense>
#include <unsupported/Eigen/CXX11/Tensor>

using namespace Eigen;

int main()
{
  int range_x = 10;
  int range_y = 5;

  Tensor<int, 2> x(range_x, range_y);
  Tensor<int, 2> y(range_x, range_y);

  for (int i = 0; i < range_x; ++i) {
    for (int j = 0; j < range_y; ++j) {
      x(i,j) = i;
      y(i,j) = j;
    }
  }

  // Do something with x and y tensors

  return 0;
}

This creates two `Tensor<int, 2>` objects named `x` and `y`, with dimensions `range_x` x `range_y`. The nested loops are used to initialize the values of the tensors. You can replace the loop with other initialization methods like `setConstant()`, `setRandom()`, or `setLinSpaced()`, depending on your needs.