D_9*_*268 2 c++ csv matrix eigen
我尝试将一个大的cvs文件读入Eigen Matrix,在发现有问题的代码下面,它无法检测cvs文件中的每行\n在矩阵中创建多行.(它用单行读取整个文件).不确定代码有什么问题.谁能在这里建议?我也在寻找一种有效的方法来读取10k行和1k cols的csv文件.不太确定下面的代码是最有效的方法吗?非常感谢你的评论.
#include <stdio.h>
#include <stdlib.h>
#include <iostream>
#include <fstream>
#include <istream> //DataFile.fail() function
#include <vector>
#include <set>
#include <string>
using namespace std;
#include <Eigen/Core>
#include <Eigen/Dense>
using namespace Eigen;
void readCSV(istream &input, vector< vector<string> > &output)
{
int a = 0;
int b = 0;
string csvLine;
// read every line from the stream
while( std::getline(input, csvLine) )
{
istringstream csvStream(csvLine);
vector<string> csvColumn;
MatrixXd mv;
string csvElement;
// read every element from the line that is seperated by commas
// and put it into the vector or strings
while( getline(csvStream, csvElement, ' ') )
{
csvColumn.push_back(csvElement);
//mv.push_back(csvElement);
b++;
}
output.push_back(csvColumn);
a++;
}
cout << "a : " << a << " b : " << b << endl; //a doen't detect '\n'
}
int main(int argc, char* argv[])
{
cout<< "ELM" << endl;
//Testing to load dataset from file.
fstream file("Sample3.csv", ios::in);
if(!file.is_open())
{
cout << "File not found!\n";
return 1;
}
MatrixXd m(3,1000);
// typedef to save typing for the following object
typedef vector< vector<string> > csvVector;
csvVector csvData;
readCSV(file, csvData);
// print out read data to prove reading worked
for(csvVector::iterator i = csvData.begin(); i != csvData.end(); ++i)
{
for(vector<string>::iterator j = i->begin(); j != i->end(); ++j)
{
m(i,j) = *j;
cout << *j << ", ";
}
cout << "\n";
}
}
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我还将附上一个示例cvs文件.https://onedrive.live.com/redir?resid=F1507EBE7BF1C5B!117&authkey=!AMzCnpBqxUyF1BA&ithint=file%2ccsv
use*_*269 14
这是你可以实际复制粘贴的东西
编写自己的"解析器"
优点:轻巧且可定制
缺点:可定制
#include <Eigen/Dense>
#include <vector>
#include <fstream>
using namespace Eigen;
template<typename M>
M load_csv (const std::string & path) {
std::ifstream indata;
indata.open(path);
std::string line;
std::vector<double> values;
uint rows = 0;
while (std::getline(indata, line)) {
std::stringstream lineStream(line);
std::string cell;
while (std::getline(lineStream, cell, ',')) {
values.push_back(std::stod(cell));
}
++rows;
}
return Map<const Matrix<typename M::Scalar, M::RowsAtCompileTime, M::ColsAtCompileTime, RowMajor>>(values.data(), rows, values.size()/rows);
}
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用法:
MatrixXd A = load_csv<MatrixXd>("C:/Users/.../A.csv");
Matrix3d B = load_csv<Matrix3d>("C:/Users/.../B.csv");
VectorXd v = load_csv<VectorXd>("C:/Users/.../v.csv");
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使用armadillo库的解析器
优点:支持其他格式,而不仅仅是csv
缺点:额外的依赖
#include <armadillo>
template <typename M>
M load_csv_arma (const std::string & path) {
arma::mat X;
X.load(path, arma::csv_ascii);
return Eigen::Map<const M>(X.memptr(), X.n_rows, X.n_cols);
}
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Luc*_*dyt -4
这将正确读取 csv 文件:
std::ifstream indata;
indata.open(filename);
std::string line;
while (getline(indata, line))
{
std::stringstream lineStream(line);
std::string cell;
while (std::getline(lineStream, cell, ','))
{
//Process cell
}
}
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编辑:此外,由于您的 csv 充满了数字,std::stod一旦您希望将它们视为这样,请确保使用或等效的转换。