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

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In 2026, the entertainment and popular media landscape is shifting from a model of content volume high-quality engagement intentionality

As we look forward, the conversation around better entertainment is also becoming an ethical one. Audiences are starting to favor media companies and creators who prioritize:

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The Premium on Human Touch: Authenticity has become a premium asset. In response, some content providers are positioning human-made productions as "premium offerings" to foster genuine emotional connections. New Dimensions of Storytelling

Silas pulled a dusty, handwritten notebook from under a floorboard. It was a diary from 2024. "It’s not optimized," he warned. "The pacing is slow. The ending is depressing. There’s no twist every ten minutes." In 2026, the entertainment and popular media landscape

The responsibility for this shift does not rest solely with studios and streaming giants. We, the audience, are the ultimate gatekeepers. The relentless demand for volume has given us a wasteland of mediocre options. A demand for quality would do the opposite. This means actively seeking out smaller, independent productions; subscribing to a film festival’s online pass; reading a novel instead of waiting for the adaptation; listening to a boundary-pushing podcast from a public radio station. It means turning off the algorithm’s recommendation and letting our own curiosity be the guide. It means having the courage to be bored for a moment, to stop the infinite scroll, and to commit to a piece of art that might be challenging, slow, or strange.

The Shift from Passive Consumption to Active Curation

The era of three TV channels and a Friday night trip to Blockbuster is over. Today’s audience is a curator. With the rise of streaming, podcasts, YouTube essays, and social media discourse, viewers don't just consume content—they analyze, recommend, and critique it in real-time. This has forced creators to move away from formulaic "content filler" toward premium, high-agency storytelling. The Premium on Human Touch : Authenticity has

The entertainment industry faces several challenges, including:

The Role of the Audience

Better entertainment cannot exist solely through creator will. It requires an active audience willing to pay for quality (not just pirate it), recommend niche gems, and unsubscribe from mediocrity. Streaming services are finally learning that retention comes from distinctive libraries—not the largest ones. That’s why A24, Neon, and even niche platforms like Mubi and Shudder are thriving.

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
}