This interface allows gnuplot to be controlled from C++ and is designed to be the lowest hanging fruit. In other words, if you know how gnuplot works it should only take 30 seconds to learn this library. Basically it is just an iostream pipe to gnuplot with some extra functions for pushing data arrays and getting mouse clicks. Data sources include STL containers (eg. vector), Blitz++, and armadillo. You can use nested data types like std::vector<std::vector<std::pair<double, double>>> (as well as even more exotic types). Support for custom data types is possible.

This is a low level interface, and usage involves manually sending commands to gnuplot using the "<<" operator (so you need to know gnuplot syntax). This is in my opinion the easiest way to do it if you are already comfortable with using gnuplot. If you would like a more high level interface check out the gnuplot-cpp library (http://code.google.com/p/gnuplot-cpp).

Download

Documentation

Documentation is available [here] but also you can look at the example programs (starting with "example-misc.cc").

Example 1

Paolo Campidelli Me Gustas Tu Extended Mix Repack -

Unlike the steady mellow pace of Manu Chao’s version, Campidelli’s repack features a high-energy "drop" characterized by a deep, bouncy synth-bass that defines the Modern House genre.

If you are looking for a track that bridges the gap between and modern electronic dance music , the Paolo Campidelli Extended Mix Repack is a staple. It preserves the "feel-good" essence of the summer while providing the heavy-hitting production required for professional sound systems. paolo campidelli me gustas tu extended mix repack

is a contemporary dance-pop reimagining of the iconic 2001 hit by Manu Chao, designed specifically for modern club floors and high-energy radio rotations. While the original was a lo-fi, Latin-alternative anthem defined by its laid-back acoustic guitar and catchy "radio reloj" samples, Campidelli transforms the track into a polished Tech-House and Slap House hybrid. The Evolution of a Latin Classic Unlike the steady mellow pace of Manu Chao’s

The "Repack" version of the Extended Mix focuses on enhancing the sonic fidelity of the earlier 2023/2024 remixes. Paolo Campidelli, known for his ability to blend Mediterranean rhythmic sensibilities with global electronic trends, strips away the folk elements of the original. In their place, he installs a and sharp, syncopated percussion that caters to the "shuffle" dance culture prevalent on platforms like TikTok and Instagram Reels. Key Features of the Extended Mix Repack is a contemporary dance-pop reimagining of the iconic

The resurgence of early 2000s nostalgia (Y2K aesthetic) has made "Me Gustas Tu" a prime candidate for electronic covers. Campidelli’s version succeeds because it doesn't overcomplicate the melody. It provides the (typically around 124–126 BPM) needed for fitness playlists, beach clubs, and festival sets, while staying true to the lyrics that millions of people already know by heart. Verdict for DJs and Listeners

The "Repack" often includes cleaner mastering and updated synth pads in the breakdown, creating a sense of euphoria before the beat kicks back in. Why This Version is Trending

Example 2

// Demo of sending data via temporary files.  The default is to send data to gnuplot directly
// through stdin.
//
// Compile it with:
//   g++ -o example-tmpfile example-tmpfile.cc -lboost_iostreams -lboost_system -lboost_filesystem

#include <map>
#include <vector>
#include <cmath>

#include "gnuplot-iostream.h"

int main() {
	Gnuplot gp;

	std::vector<std::pair<double, double> > xy_pts_A;
	for(double x=-2; x<2; x+=0.01) {
		double y = x*x*x;
		xy_pts_A.push_back(std::make_pair(x, y));
	}

	std::vector<std::pair<double, double> > xy_pts_B;
	for(double alpha=0; alpha<1; alpha+=1.0/24.0) {
		double theta = alpha*2.0*3.14159;
		xy_pts_B.push_back(std::make_pair(cos(theta), sin(theta)));
	}

	gp << "set xrange [-2:2]\nset yrange [-2:2]\n";
	// Data will be sent via a temporary file.  These are erased when you call
	// gp.clearTmpfiles() or when gp goes out of scope.  If you pass a filename
	// (e.g. "gp.file1d(pts, 'mydata.dat')"), then the named file will be created
	// and won't be deleted (this is useful when creating a script).
	gp << "plot" << gp.file1d(xy_pts_A) << "with lines title 'cubic',"
		<< gp.file1d(xy_pts_B) << "with points title 'circle'" << std::endl;

#ifdef _WIN32
	// For Windows, prompt for a keystroke before the Gnuplot object goes out of scope so that
	// the gnuplot window doesn't get closed.
	std::cout << "Press enter to exit." << std::endl;
	std::cin.get();
#endif
}