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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
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
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
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
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/