<-- Home

Tiktok Window (480p)

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

To retrieve the source code from git: 
git clone https://github.com/dstahlke/gnuplot-iostream.git

Documentation

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

Example 1

The "TikTok window" refers to the unique way TikTok presents content to its users. Unlike traditional social media platforms, which prioritize content from accounts users follow, TikTok's algorithm-driven "For You" page (FYP) serves users a curated feed of videos from a diverse range of creators, often with surprising and engaging results. This approach has created a new paradigm for content consumption, where users are exposed to a vast array of perspectives, ideas, and talents, often in a serendipitous manner.

Example 2

Tiktok Window (480p)

The "TikTok window" refers to the unique way TikTok presents content to its users. Unlike traditional social media platforms, which prioritize content from accounts users follow, TikTok's algorithm-driven "For You" page (FYP) serves users a curated feed of videos from a diverse range of creators, often with surprising and engaging results. This approach has created a new paradigm for content consumption, where users are exposed to a vast array of perspectives, ideas, and talents, often in a serendipitous manner.

<-- Home