mplscience

Matplotlib style for scientific publications. This style keeps things pretty simple and aims to make moderate improvements to the base matplotlib style. It also sets things like the PDF font type to make it easier to interact with figures in Adobe Illustrator. Open the tutorial in Colab to see examples. mplscience is compatible with all Matplotlib-based packages, including Seaborn.

Usage

To install:

pip install mplscience

To use:

import mplscience
import seaborn as sns

mplscience.available_styles()
mplscience.set_style()
df = sns.load_dataset("anscombe")
sns.scatterplot(x="x", y="y", hue="dataset", data=df)

If you're using Seaborn, you may want to run sns.reset_orig() first to clear Seaborn-specific styling. You can also use the reset_current parameter of mplscience functions to reset any custom styling like this:

mplscience.set_style(reset_current=True)

The style can also be using in a context like this:

import mplscience

with mplscience.style_context():
    plt.plot(x, y)