What's New in Matplotlib 3.6.0

This page summarizes the projects mentioned and recommended in the original post on news.ycombinator.com

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  • matplotlib-tutorial

    Matplotlib tutorial for beginner

  • I had the same problem until I found this tutorial:

    https://github.com/rougier/matplotlib-tutorial

    If you wan something deeper the same person has written a book:

    https://github.com/rougier/scientific-visualization-book

  • scientific-visualization-book

    An open access book on scientific visualization using python and matplotlib

  • I had the same problem until I found this tutorial:

    https://github.com/rougier/matplotlib-tutorial

    If you wan something deeper the same person has written a book:

    https://github.com/rougier/scientific-visualization-book

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

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  • seaborn

    Statistical data visualization in Python

  • The "I'll fix it later" aesthetic of matplotlib is addressed well by seaborn []. It is based on matplotlib, but it tends to do the right things, and it works gracefully with Pandas. The killer feature for me in Seaborn is "sns.despine()".

    [] https://seaborn.pydata.org

  • pyx

    Repository of PyX, a Python package for the creation of PostScript, PDF, and SVG files.

  • The PyX's github repo [0] shows fairly low activity recently. The last commit was on November 21, 2021 (almost a year ago). I am curious whether PyX is in a maintenance mode?

    [0] https://github.com/pyx-project/pyx

  • plotnine

    A Grammar of Graphics for Python

  • Python is my daily driver, but I briefly experimented with R and had a delightful experience with ggplot2. The ‘grammar of graphics’ was hard to leave behind when I switched back to Python, until I heard about Plotnine [1], which brings much of the same grammar and functionality to Python. It’s built on Matplotlib and a few other common libraries like Pandas.

    [1] https://plotnine.readthedocs.io/en/stable/

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NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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