Matplot++

A C++ Graphics Library for Data Visualization

Data visualization can help programmers and scientists identify trends in their data and efficiently communicate these results with their peers. Modern C++ is being used for a variety of scientific applications, and this environment can benefit considerably from graphics libraries that attend the typical design goals toward scientific data visualization. Besides the option of exporting results to other environments, the customary alternatives in C++ are either non-dedicated libraries that depend on existing user interfaces or bindings to other languages. Matplot++ is a graphics library for data visualization that provides interactive plotting, means for exporting plots in high-quality formats for scientific publications, a compact syntax consistent with similar libraries, dozens of plot categories with specialized algorithms, multiple coding styles, and supports generic backends.

[READ THE DOCUMENTATION FOR A QUICK START AND EXAMPLES](https://alandefreitas.github.io/matplotplusplus/)

Table of Contents

• Gallery
• Integration
• Package Managers
• CMake
• Install
• Plot Types
• Line Plots
• Data Distribution
• Discrete Data
• Geography
• Polar Plots
• Contour Plots
• Vector Fields
• Surfaces
• Graphs
• Images
• Annotations
• Text
• Text with Arrow
• Rectangle
• Filled Polygon
• Ellipse
• Textbox
• Arrow
• Line
• Appearance
• Labels
• Axis
• Grid
• Multiplot
• Colormaps
• Camera
• Figure Object
• Line Specs
• Axes Object
• Clear Axes
• Exporting
• Saving (Manually)
• Saving (Programatically)
• Coding styles
• Member vs. Free-standing Functions
• Reactive vs. Quiet Figures
• Method Chaining
• Ranges
• Common Utilities
• Backends
• Motivation and Details
• Community
• Get Involved
• Ideas and Roadmap
• Contributing Guidelines
• Contributors
• References

Gallery

Complete Gallery

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