Skip to content

Drop in Unidata matplotlib workshop notebook #37

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
merged 13 commits into from
Jun 15, 2021
2 changes: 2 additions & 0 deletions _toc.yml
Original file line number Diff line number Diff line change
Expand Up @@ -35,6 +35,8 @@
- file: core/overview
- file: core/numpy
- file: core/matplotlib
sections:
- file: core/matplotlib/matplotlib
- file: core/cartopy
- file: core/datetime
- file: core/pandas
Expand Down
12 changes: 12 additions & 0 deletions core/matplotlib.md
Original file line number Diff line number Diff line change
Expand Up @@ -5,3 +5,15 @@ This content is under construction!
```

This section will contain tutorials on basic plotting with [matplotlib](https://matplotlib.org).

From the [Matplotlib documentation](https://matplotlib.org) "Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python."

Matplotlib is the go-to library for plotting within python, with numerous packages and libraries using matplotlib as a base to build off of. If you were to learn a single plotting tool to keep in your toolbox, this is the package.

The key feature to matplotlib is its extensibility and the [extensive documentation](https://matplotlib.org/stable/contents.html) available to the community.

Currently, we provide a basic introduction to matplotlib, but at a later date, we will add:

- Legend and annotation customization
- Customizing layouts
- Interactive and 3D plotting
Loading