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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Example 2

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: What starts as a niche search term can quickly evolve into a mainstream cultural reference. Navigating Trending Content Safely

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: Content that feels like it belongs to a "moment" or a specific creator community often generates higher search volume. : What starts as a niche search term

: Trending content under this keyword often resonates with a specific demographic looking for authenticity or specific entertainment styles. : Trending content under this keyword often resonates

When exploring rapidly rising search terms like , it is important for users to: