np数组转化成 c++可读取的数组操作

将python处理好的数据转到同维度数组

import numpy as np
# result为一个二维数组
result = np.array([[1, 2, 3,5, 6, 3]])

# 写入文件
np.savetxt("result2", result)
 # 读取文件
 dataset = np.loadtxt('result2.npy')

import numpy as np
# result为一个二维数组
result = np.array([[1, 2, 3,5, 6, 3]])

# 写入文件
np.save("result2", result)
 # 读取文件
 dataset = np.load('result2')

转载内容
C++读取numpy数据二进制文件 作者：pan_jinquan

def save_bin(data, bin_file, dtype="double"):
    """
    C++int对应Python np.intc
    C++float对应Python np.single
    C++double对应Python np.double
    :param data:
    :param bin_file:
    :param dtype:
    :return:
    """
    data = data.astype(np.double)
    data.astype(dtype).tofile(bin_file)

 
def load_bin(bin_file, shape=None, dtype="double"):
    """
    :param bin_file:
    :param dtype:
    :return:
    """
    data = np.fromfile(bin_file, dtype=dtype)
    if shape:
        data = np.reshape(data, shape)
    return data
 
if __name__ == "__main__":
    bin_file = "data.bin"
    shape = (2, 5)
    data1 = np.arange(10, 20).reshape(shape)
    save_bin(data1, bin_file)
    data2 = load_bin(bin_file, shape)
    print(data1)
    print(data2)
 

#include 
#include 
using namespace std;
 
int main()
{
  int row=2;
  int col=5;
  double fnum[row][col] = {0};
  ifstream in("bin/data.bin", ios::in | ios::binary);
  in.read((char *) &fnum, sizeof fnum);
  cout << in.gcount() << " bytes readn";
  // show values read from file
  for(int i=0; i