NicePlots

A collection of nice styles and helper functions for matplotlib

How do I install?

NicePlots can be pip installed directly from PyPI

pip install niceplots

If you want to make changes

• Clone this repository, then enter the folder in the command line terminal.
• Enter pip install -e . within the niceplots folder.

Font installation

As of v2.6.0, NicePlots now comes packaged with the fonts required for its custom styles, so you don't need to install them yourself.

How do I get set up?

• import matplotlib.pyplot as plt and import niceplots at the top of a file where you would like to use any function defined in this package.
• Use plt.style.use(niceplots.get_style()) to set some defaults for nice-looking plots. You can also try passing different styles to get_style(), such as NicePlots' "james-dark" or any of matplotlib's styles (see the function's documentation for a full list of available NicePlots styles).
• Take advantage of NicePlots' helper functions, including (but not limited to) adjust_spines, horiz_bar, and plot_nested_pie, which are all documented in the examples gallery.
• Admire your beautiful data.

Do you have docs?

Sort of, you can find our examples gallery and API documentation here

Help, my old NicePlots code doesn't work anymore!

We made a couple of changes to the API in version 2.0.0, most of them can be fixed with a simple find and replace. Check the release notes for more details.

Contribution guidelines

Make any changes you see fit. Please fork your own version and submit a pull request.

Who do I talk to?

Please post questions and suggestions to either the issues (if it's concerning a bug) or discussions tab on the NicePlots GitHub repo.