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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Michel Bras ’s Essential Cuisine is much more than a collection of recipes; it is a foundational culinary manifesto that has shaped modern gastronomy. First published in 2002, this book captures the soul of the Aubrac region in France through the eyes of a chef who elevated seasonal, vegetable-forward cooking to an art form decades before it became a global trend. The Philosophy of the Aubrac

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Bras pioneered the asymmetrical, free-form plating style that mimics natural landscapes, moving away from the rigid, geometric structures of classical French service.

Essential Cuisine by Michel Bras remains a cornerstone of culinary literature. Whether read through a rare physical copy or a sought-after digital PDF, its pages offer an timeless masterclass in respecting nature, simplifying flavors, and cooking with profound emotion. This public link is valid for 7 days

The recipes within the book require a high level of technical precision and an understanding of foundational culinary science:

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The structure often feels personal, offering insights into why he chose a specific combination, rather than just how to make it. Why Essential Cuisine is Essential for Modern Cooks

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
}