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).

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Documentation

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

Example 1

As the applause erupted, Lila exhaled. “It worked.” The DT20EngWinCPK project became a flagship success for NovaTech. Lila received praise not just for her coding, but for her relentless curiosity. She learned that even in the digital age, the smallest details—like a misplaced comma—could unravel the greatest innovations.

As the team celebrated, the future of engineering education had never looked brighter. In the world of technology, success is less about flawless code and more about resilience, teamwork, and the courage to question the unexplained—even when the problem defies logic. 🚀

First, I should think about a setting, possibly a tech or game-related environment. Maybe a developer team working on a project called "DT20EngWinCPK" that's reaching a crucial stage. The story could follow their challenges and triumphs as they prepare for the release.

Example 2

Dt20engwincpk New May 2026