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  1. Matplotlib — Visualization with Python

    Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python. Matplotlib makes easy things easy and hard things possible. Create publication quality …

  2. Matplotlib documentation — Matplotlib 3.10.7 documentation

    Cheatsheets Matplotlib 3.10.7 documentation # Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations. Install # pip pip install matplotlib conda conda …

  3. Examples — Matplotlib 3.10.7 documentation

    Currently Matplotlib supports PyQt/PySide, PyGObject, Tkinter, and wxPython. When embedding Matplotlib in a GUI, you must use the Matplotlib API directly rather than the pylab/pyplot …

  4. Pyplot tutorial — Matplotlib 3.10.7 documentation

    Please also see Quick start guide for an overview of how Matplotlib works and Matplotlib Application Interfaces (APIs) for an explanation of the trade-offs between the supported user …

  5. Tutorials — Matplotlib 3.10.7 documentation

    Tutorials # This page contains a few tutorials for using Matplotlib. For the old tutorials, see below. For shorter examples, see our examples page. You can also find external resources and a …

  6. Quick start guide — Matplotlib 3.10.7 documentation

    Matplotlib can handle plotting arrays of dates and arrays of strings, as well as floating point numbers. These get special locators and formatters as appropriate.

  7. Getting started — Matplotlib 3.10.7 documentation

    (Source code, 2x.png, png) If a plot does not show up please check Troubleshooting. Where to go next # Check out Plot types to get an overview of the types of plots you can create with …

  8. Using Matplotlib — Matplotlib 3.10.7 documentation

    Using Matplotlib # Quick start guide A simple example Parts of a Figure Types of inputs to plotting functions Coding styles Styling Artists Labelling plots Axis scales and ticks Color mapped data …

  9. Installation — Matplotlib 3.10.7 documentation

    If you would like to contribute to Matplotlib or otherwise need to install the latest development code, please follow the instructions in Setting up Matplotlib for development.

  10. Plot types — Matplotlib 3.10.7 documentation

    Plot types # Overview of many common plotting commands provided by Matplotlib. See the gallery for more examples and the tutorials page for longer examples.