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https://github.com/interactivetech/awesome-matplotlib

A curated list of awesome repos and tutorials to develop great matplotlib graphs and diagrams
https://github.com/interactivetech/awesome-matplotlib

List: awesome-matplotlib

data-science machine-learning matplotlib python visualization

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A curated list of awesome repos and tutorials to develop great matplotlib graphs and diagrams

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# awesome-matplotlib
A curated list of awesome repos and tutorials to develop great matplotlib graphs and diagrams

* [Matplotlib 3.0 Cookbook]( https://github.com/PacktPublishing/Matplotlib-3.0-Cookbook) - https://github.com/PacktPublishing/Matplotlib-3.0-Cookbook
* [matplotlib_for_papers]( https://github.com/jbmouret/matplotlib_for_papers) - Creating publication-quality figures with Matplotlib
* [matplotlib4papers](https://github.com/amarasovic/matplotlib4papers/) - Matplotlib examples to present results.
* [taming matplotlib](https://github.com/brohrer/taming_matplotlib) - Code and images for tutorials for getting the most out of Matplotlib
* [Official Matplotlib cheat sheets](https://github.com/matplotlib/cheatsheets/blob/master/cheatsheets-1.png) - Official Matplotlib cheat sheets.
* [matplotlib-tutorial](https://github.com/rougier/matplotlib-tutorial) - Matplotlib tutorial for beginner.
* [Navigating Matplotlib: Get matplotlib to do just what you want]( https://end-to-end-machine-learning.teachable.com/p/navigating-matplotlib-tutorial-how-to/)
* [Chapter 4: Developing Visualizations for Publishing Quality](https://github.com/PacktPublishing/Matplotlib-3.0-Cookbook/blob/master/Chapter04/Chapter%204%20-%20Developing%20Visualizations%20For%20Publishing%20Quality.ipynb)
* [Chapter 6: Plotting with Advanced Features](https://github.com/PacktPublishing/Matplotlib-3.0-Cookbook/blob/master/Chapter06/Chapter%206%20-%20Plotting%20with%20Advanced%20Features.ipynb)
* [Chapter 8: Saving the Figure in different formats](https://github.com/PacktPublishing/Matplotlib-3.0-Cookbook/blob/master/Chapter08/C[…]08%20-%20Saving%20the%20Figure%20in%20Different%20Formats.ipynb)
* [133. How to Navigate Matplotlib matplotlib course](https://e2eml.school/133)
* [Implementation of typographic and design principles in matplotlib and iPython notebook](https://nbviewer.jupyter.org/gist/olgabot/5357268)