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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 cheatsheets — Visualization with Python

    Contribute # Issues, suggestions, or pull-requests gratefully accepted at matplotlib/cheatsheets

  3. Examples — Matplotlib 3.10.7 documentation

    This has two advantages: the code you write will be more portable, and Matplotlib events are aware of things like data coordinate space and which axes the event occurs in so you don't …

  4. Timeline with lines, dates, and text - Matplotlib

    Timeline with lines, dates, and text # How to create a simple timeline using Matplotlib release dates. Timelines can be created with a collection of dates and text. In this example, we show …

  5. Pyplot tutorial — Matplotlib 3.10.7 documentation

    An example of four plots with the same data and different scales for the y-axis is shown below.

  6. Tutorials — Matplotlib 3.10.7 documentation

    Download all examples in Python source code: tutorials_python.zip Download all examples in Jupyter notebooks: tutorials_jupyter.zip

  7. Animations using Matplotlib — Matplotlib 3.10.7 documentation

    The following table shows a few plotting methods, the artists they return and some commonly used set_* methods that update the underlying data. While updating data is the most common …

  8. The Python Graph Gallery: hundreds of python charts with …

    Jul 24, 2021 · The Python Graph Gallery is a website that displays hundreds of chart examples made with python. It goes from very basic to highly customized examples and is based on …

  9. History — Matplotlib 3.10.7 documentation

    Matplotlib is a library for making 2D plots of arrays in Python. Although it has its origins in emulating the MATLAB graphics commands, it is independent of MATLAB, and can be used in …

  10. Plot types — Matplotlib 3.10.7 documentation

    3D and volumetric data # Plots of three-dimensional (x, y, z), surface f (x, y) = z, and volumetric V x, y, z data using the mpl_toolkits.mplot3d library.