A comprehensive library for creating static, animated, and interactive visualizations in Python.
Matplotlib
- Python
- Graphiques 2D, Graphiques en 3D, IA et apprentissage automatique, Analyse des données, Mathématiques
- Apprentissage profond, Conception interactive, Machine Learning, Logiciel, Statistical Analysis, Expérience utilisateur (UX), Interface utilisateur (UI)
Caractéristiques :
- 2D plotting (line, scatter, bar, hist, pie, etc.), 3D plotting capabilities, image display, customizable plot elements (labels, titles, legends, colors, styles), support for various output formats (PNG, PDF, SVG, EPS), interactive features, large ecosystem of extension libraries.
Prix :
- Gratuit
- Highly versatile and customizable, produces publication-quality plots, large community and extensive documentation, de facto standard for plotting in Python for many users.
- Can have a steep learning curve for complex plots or fine-grained customization, API can sometimes feel inconsistent or complex, default styles might look dated without customization.
Idéal pour :
- Scientists, engineers, data analysts, and anyone needing to create a wide variety of static, animated, or interactive visualizations in Python.