https://github.com/matplotlib/AnatomyOfMatplotlib

Anatomy of Matplotlib -- tutorial developed for the SciPy conference
https://github.com/matplotlib/AnatomyOfMatplotlib

Last synced: 3 days ago
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Anatomy of Matplotlib -- tutorial developed for the SciPy conference

• Host: GitHub
• URL: https://github.com/matplotlib/AnatomyOfMatplotlib
• Owner: matplotlib
• License: other
• Created: 2013-06-26T19:58:50.000Z (almost 11 years ago)
• Default Branch: master
• Last Pushed: 2021-08-14T00:05:27.000Z (almost 3 years ago)
• Last Synced: 2024-04-14T01:46:25.099Z (2 months ago)
• Language: Jupyter Notebook
• Homepage:
• Size: 1.12 MB
• Stars: 1,193
• Watchers: 84
• Forks: 597
• Open Issues: 5
• Metadata Files:
  • Readme: README.md

Lists

• awesome-stars - AnatomyOfMatplotlib - - tutorial developed for the SciPy conference | matplotlib | 1198 | (Jupyter Notebook)
• my-awesome-stars - matplotlib/AnatomyOfMatplotlib - Anatomy of Matplotlib -- tutorial developed for the SciPy conference (Jupyter Notebook)

README

        
# Introduction

This tutorial is a complete re-imagining of how one should teach users

the matplotlib library. Hopefully, this tutorial may serve as inspiration

for future restructuring of the matplotlib documentation. Plus, I have some

ideas of how to improve this tutorial.

Please fork and contribute back improvements! Feel free to use this tutorial

for conferences and other opportunities for training.

The tutorial can be viewed on [nbviewer](http://nbviewer.jupyter.org):

* [Part 0: Introduction To NumPy](http://nbviewer.jupyter.org/github/matplotlib/AnatomyOfMatplotlib/blob/master/AnatomyOfMatplotlib-Part0-Intro2NumPy.ipynb)

* [Part 1: Overview of Matplotlib](http://nbviewer.jupyter.org/github/matplotlib/AnatomyOfMatplotlib/blob/master/AnatomyOfMatplotlib-Part1-Figures_Subplots_and_layouts.ipynb)

* [Part 2: Plotting Methods](http://nbviewer.jupyter.org/github/matplotlib/AnatomyOfMatplotlib/blob/master/AnatomyOfMatplotlib-Part2-Plotting_Methods_Overview.ipynb)

* [Part 3: How To Speak MPL](http://nbviewer.jupyter.org/github/matplotlib/AnatomyOfMatplotlib/blob/master/AnatomyOfMatplotlib-Part3-HowToSpeakMPL.ipynb)

* [Part 4: Limits, Legends, and Layouts](http://nbviewer.jupyter.org/github/matplotlib/AnatomyOfMatplotlib/blob/master/AnatomyOfMatplotlib-Part4-Limits_Legends_and_Layouts.ipynb)

* [Part 5: Artists](http://nbviewer.jupyter.org/github/matplotlib/AnatomyOfMatplotlib/blob/master/AnatomyOfMatplotlib-Part5-Artists.ipynb)

* [Part 6: mpl_toolkits](http://nbviewer.jupyter.org/github/matplotlib/AnatomyOfMatplotlib/blob/master/AnatomyOfMatplotlib-Part6-mpl_toolkits.ipynb)

# Installation

All you need is matplotlib (v1.5 or greater) and jupyter installed.

You can use your favorite Python package installer for this:

```bash

conda install matplotlib jupyter

git clone https://github.com/matplotlib/AnatomyOfMatplotlib.git

cd AnatomyOfMatplotlib

jupyter notebook

```

A browser window should appear and you can verify that everything works as expected by clicking on the `Test 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.