Repository files navigation

This tutorial is a complete re-imagining of how one should teach usersthe matplotlib library. Hopefully, this tutorial may serve as inspirationfor future restructuring of the matplotlib documentation. Plus, I have someideas of how to improve this tutorial.

Please fork and contribute back improvements! Feel free to use this tutorialfor conferences and other opportunities for training.

The tutorial can be viewed onnbviewer:

• Part 0: Introduction To NumPy
• Part 1: Overview of Matplotlib
• Part 2: Plotting Methods
• Part 3: How To Speak MPL
• Part 4: Limits, Legends, and Layouts
• Part 5: Artists
• Part 6: mpl_toolkits

All you need is matplotlib (v1.5 or greater) and jupyter installed.You can use your favorite Python package installer for this:

conda install matplotlib jupytergit clone https://github.com/matplotlib/AnatomyOfMatplotlib.gitcd AnatomyOfMatplotlibjupyter notebook

A browser window should appear and you can verify that everything works as expected by clicking on theTest Install.ipynb notebook. There, you will see a "code cell" that you can execute. Run it, and you should see a very simple line plot, indicating that all is well.