I am trying to parse a simple CSV file, with data in a format such as:
20.5,20.5,20.5,0.794145,4.05286,0.792519,1
20.5,30.5,20.5,0.753669,3.91888,0.749897,1
20.5,40.5,20.5,0.701055,3.80348,0.695326,1
So, a very simple and fixed format file. I am storing each column of this data into a STL vector. As such I've tried to stay the C++ way using the standard library, and my implementation within a loop looks something like:
string field;
getline(file,line);
stringstream ssline(line);
getline( ssline, field, ',' );
stringstream fs1(field);
fs1 >> cent_x.at(n);
getline( ssline, field, ',' );
stringstream fs2(field);
fs2 >> cent_y.at(n);
getline( ssline, field, ',' );
stringstream fs3(field);
fs3 >> cent_z.at(n);
getline( ssline, field, ',' );
stringstream fs4(field);
fs4 >> u.at(n);
getline( ssline, field, ',' );
stringstream fs5(field);
fs5 >> v.at(n);
getline( ssline, field, ',' );
stringstream fs6(field);
fs6 >> w.at(n);
The problem is, this is extremely slow (there are over 1 million rows per data file), and seems to me to be a bit inelegant. Is there a faster approach using the standard library, or should I just use stdio functions? It seems to me this entire code block would reduce to a single fscanf call.
Thanks in advance!