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lava/matplotlib-cpp

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Matplotlib Cpp

matplotlib-cpp is a header-only C++ library and wrapper that enables the creation of 2D and 3D visualizations by calling Matplotlib functions directly from C++ code. It serves as a plotting interface for generating line plots, bar graphs, and surface charts using a Python-based backend.

The library is designed as a lightweight integration that provides plotting capabilities without requiring a complex build process or compiled binaries.

It covers a range of visualization capabilities, including multi-dimensional data rendering, vector field plotting, and the arrangement of multiple subplots. The toolkit also supports the production of dynamic animations and the export of generated visualizations as image files.

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Features

  • C++ Visualization - Enables high-performance 2D and 3D data plotting directly within C++ applications.
  • Matplotlib C++ Wrappers - Provides a header-only C++ interface to create 2D and 3D visualizations using the Matplotlib backend.
  • 2D Plot Constructors - Provides programmatic construction of 2D and 3D charts, including line, surface, and quiver plots.
  • Python-C Interfaces - Provides a thin interface layer mapping C++ calls to a Python-based plotting backend.
  • Python-from-C Invocations - Provides the mechanism to invoke Python plotting functions from within a compiled C++ environment.
  • C Function Bindings - Maps C++ method signatures to Python module functions to mirror the external plotting API.
  • Native Object Wrapping - Wraps C++ data structures into Python objects for processing by the Matplotlib plotting engine.
  • Animated Data Representations - Produces moving visualizations that update over time to illustrate changing data trends.
  • Animated Visualizations - Creates moving visualizations by updating plot data over time to illustrate dynamic processes.
  • Three-Dimensional Visualizations - Visualizes three-dimensional functions and data structures using a specialized programming interface.
  • Data Plotting Workflows - Facilitates the creation of high-quality scientific 2D and 3D graphical representations of numerical data.
  • Vector Field Visualizations - Produces quiver plots to represent directional data and vector fields in a coordinate system.
  • Scientific Plot Exporters - Saves generated visualizations as image files in various formats for external distribution.
  • Header-Only Libraries - Implemented as a header-only library to eliminate the need for separate compilation and linking steps.
  • Python Code Generators - Converts C++ function calls into formatted strings evaluated as Python code by the embedded interpreter.
  • Mathematical Visualization - Visualizes mathematical functions and vector fields using quiver plots and 3D rendering.
  • Subplot Grid Layouts - Organizes multiple charts into a single figure using grid layouts or coordinate-based positioning.
  • Data Visualization - Wrapper for the Python matplotlib plotting library.
  • Mathematics and Statistics - C++ plotting library based on matplotlib.
4,760 stars·1,183 forks·C++·MIT·15 views

Star history

Star history chart for lava/matplotlib-cppStar history chart for lava/matplotlib-cpp

Frequently asked questions

What does lava/matplotlib-cpp do?

matplotlib-cpp is a header-only C++ library and wrapper that enables the creation of 2D and 3D visualizations by calling Matplotlib functions directly from C++ code. It serves as a plotting interface for generating line plots, bar graphs, and surface charts using a Python-based backend.

What are the main features of lava/matplotlib-cpp?

The main features of lava/matplotlib-cpp are: C++ Visualization, Matplotlib C++ Wrappers, 2D Plot Constructors, Python-C Interfaces, Python-from-C Invocations, C Function Bindings, Native Object Wrapping, Animated Data Representations.

What are some open-source alternatives to lava/matplotlib-cpp?

Open-source alternatives to lava/matplotlib-cpp include: alandefreitas/matplotplusplus — This C++ data visualization library is a scientific plotting framework used to create 2D and 3D charts, network… makieorg/makie.jl — Makie.jl is a high-performance Julia data visualization library and hardware-accelerated plotting engine used to… matplotlib/matplotlib — Matplotlib is a Python data visualization library and 2D plotting engine used to generate publication-quality figures… crazyguitar/pysheeet — pysheeet is a technical reference library providing a curated collection of code snippets and implementation patterns… margelo/react-native-graph — This project is a cross-platform mobile graphing library designed for rendering high-performance animated line charts… dataarts/webgl-globe — webgl-globe is a WebGL globe visualization library and geospatial renderer used to display latitude and longitude…

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