lava/matplotlib-cpp
Matplotlib Cpp
matplotlib-cpp est une bibliothèque C++ header-only et un wrapper qui permet la création de visualisations 2D et 3D en appelant des fonctions Matplotlib directement depuis du code C++. Il sert d'interface de traçage pour générer des graphiques en courbes, des graphiques en barres et des graphiques de surface en utilisant un backend basé sur Python.
La bibliothèque est conçue comme une intégration légère qui fournit des capacités de traçage sans nécessiter un processus de build complexe ou des binaires compilés.
Elle couvre une gamme de capacités de visualisation, incluant le rendu de données multidimensionnelles, le tracé de champs vectoriels et l'agencement de multiples sous-graphiques. La boîte à outils prend également en charge la production d'animations dynamiques et l'exportation des visualisations générées sous forme de fichiers image.
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.
