A comprehensive library for creating static, animated, and interactive visualizations in Python.
Matplotlib
- Python
- Gráficos 2D, Gráficos 3D, IA y aprendizaje automático, Análisis de datos, Matemáticas
- Aprendizaje profundo, Diseño interactivo, Aprendizaje automático, Software, Análisis estadístico, Experiencia de usuario (UX), Interfaz de usuario (UI)
Características:
- 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.
Precios:
- Gratis
- 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.
Ideal para:
- Scientists, engineers, data analysts, and anyone needing to create a wide variety of static, animated, or interactive visualizations in Python.