evaplot

An up-to-date and slimmed down library for opinionated plotting styles with seaborn and matplotlib.

Installation

pip install evaplot

Quick Start

import evaplot
import seaborn as sns
import matplotlib.pyplot as plt

# Apply a style (downloads fonts on first use)
evaplot.set_style("evaplot_rc")

# Use seaborn/matplotlib as usual
fig, ax = plt.subplots()
sns.barplot(data=my_data, x="category", y="value", ax=ax)
plt.show()

Styles

evaplot ships six styles, each using a different Google Font (downloaded automatically on first import):

Style Font
evaplot_rc Roboto Condensed
evaplot_fsc Fira Sans Condensed
evaplot_j Jost
evaplot_m Montserrat
evaplot_sg Space Grotesk
evaplot_tw Titillium Web

Gallery

evaplot_rc — Roboto Condensed

evaplot_rc style example

Other styles

evaplot_fsc — Fira Sans Condensed

evaplot_fsc style example

evaplot_j — Jost

evaplot_j style example

evaplot_m — Montserrat

evaplot_m style example

evaplot_sg — Space Grotesk

evaplot_sg style example

evaplot_tw — Titillium Web

evaplot_tw style example

Helper Functions

set_cat_palette

Sets the categorical color palette based on the number of categories. Uses dark2 for n ≤ 8 and vivid for larger sets. Returns the full palette as a list of hex strings you can reuse directly for annotations, custom patches, or other matplotlib elements.

colors = evaplot.set_cat_palette(n=5)
# colors → ["#1b9e77", "#d95f02", ...]

# Annotate each bar with its hex color
for i, bar in enumerate(ax.patches):
    ax.text(
        bar.get_x() + bar.get_width() / 2,
        bar.get_height(),
        colors[i],
        ha="center", va="bottom",
        color=colors[i], fontsize=8,
    )

set_cat_palette demo

rotate_xticklabels

Rotates x-axis tick labels to prevent overlap on busy categorical axes. Works on individual Axes objects and on every panel of a FacetGrid by iterating g.axes.flat.

# single axes
evaplot.rotate_xticklabels(ax, rotation=45)

# every panel in a FacetGrid
for ax in g.axes.flat:
    evaplot.rotate_xticklabels(ax, rotation=45)

rotate_xticklabels demo

move_legend

Moves a seaborn legend with sensible bottom-centered defaults.

evaplot.move_legend(ax_or_facetgrid, bbox_to_anchor=(0.5, -0.15), loc="upper center", ncol=3)

move_legend demo

adjust_layout

Adjusts subplot spacing and applies tight_layout in one call. Pass g.fig for a seaborn FacetGrid, or omit fig to operate on the current figure.

evaplot.adjust_layout(fig=fig, hspace=0.35, wspace=0.3)

adjust_layout demo

set_facet_col_titles

Simplifies FacetGrid column titles using a template string. By default strips the verbose "col = value" prefix.

evaplot.set_facet_col_titles(g, "{col_name}")
Before After
set_facet_col_titles before set_facet_col_titles after

API Reference

Function Description
set_style(style, n) Apply an evaplot style and categorical palette
set_cat_palette(n) Set categorical palette (dark2 for n ≤ 8, vivid otherwise); returns hex color list
rotate_xticklabels(ax, rotation, ha) Rotate x-axis tick labels
move_legend(obj, bbox_to_anchor, loc, ncol, ...) Move a seaborn legend with opinionated defaults
adjust_layout(fig, hspace, wspace, bottom, rect) Adjust subplot spacing and apply tight_layout
set_facet_col_titles(g, template) Set FacetGrid column title template
show_installed_fonts() List font families in evaplot's font cache
update_matplotlib_fonts() Register all cached fonts with matplotlib
download_googlefont(font, add_to_cache) Download a Google Font to the cache

Credits

evaplot builds on opinionated by Maximilian Noichl.

Noichl, M. (2023). Opinionated: Simple, Clean Stylesheets for Plotting with Matplotlib and Seaborn (Version 0.0.2.8) [Computer software]. https://doi.org/10.5281/zenodo.8329780

License

MPLv2 License

Project links

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Avatar for evamaxfield from gravatar.com evamaxfield

Credits

Author: Eva Maxfield Brown

GitHub Statistics

Data verified by PyPI on Aug 19, 2026
The GitHub source repository was provided by the project maintainers and verified by PyPI at the time of upload. Stars, forks, and open issues/PRs are derived from that repository and have not been independently verified.

License

MPLv2 License

Requires

Python >=3.12

Provides Extra

dev

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