Matplotlib — Visualization with Python
Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python. It provides an object-oriented API for embedding plots into applications using general-purpose GUI toolkits like Tkinter, wxPython, Qt, or GTK. It is widely used in the scientific computing community for data visualization.
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Key Features of the Site
Wide range of plot types
Supports a variety of plot types including line, bar, scatter, histogram, and more.
Customizable plots
Offers extensive customization options for plots, including colors, markers, line styles, and fonts.
Interactive plots
Enables the creation of interactive plots that can be zoomed, panned, and updated in real-time.
Export to many file formats
Plots can be exported to a wide range of file formats, including PNG, PDF, SVG, and EPS.
Integration with Jupyter Notebooks
Seamlessly integrates with Jupyter Notebooks for an interactive data analysis experience.
Support for LaTeX
Includes support for LaTeX for rendering mathematical expressions and symbols in plots.
Extensive documentation
Provides comprehensive documentation, including tutorials, examples, and API reference.
Active community
Backed by an active community of developers and users who contribute to its development and support.
Cross-platform
Runs on multiple platforms including Windows, macOS, and Linux.
Open source
Matplotlib is open source, released under the Matplotlib License.
Similar Sites and Competitors to matplotlib.org
Additional information
License
Matplotlib is released under the Matplotlib License, a permissive open-source license.
Development
The development of Matplotlib is supported by NumFOCUS, a nonprofit that supports open-source scientific computing.
Dependencies
Matplotlib depends on NumPy for numerical operations and supports integration with other Python libraries like Pandas and SciPy.
Extensions
There are several extensions and third-party packages that enhance Matplotlib's capabilities, such as Seaborn for statistical plots and Basemap for geographical plotting.
Usage
Matplotlib is used in a wide range of applications, from academic research to commercial data analysis, for creating publication-quality figures.
HTTP headers
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