pypubfigs is a Python package for creating publication-ready figures with colorblind-friendly palettes and themes for matplotlib/seaborn.
If you found pypubfigs helpful, please cite: ggpubfigs: Colorblind-Friendly Color Palettes and ggplot2 Graphic System Extensions for Publication-Quality Scientific Figures. DOI: 10.1128/MRA.00871-21
Guide
Install
Quick Start
Color Palettes
Table of Hex Codes
Themes
FAQ
Change Log
Versioning
Acknowledgements
Install
pip install pypubfigs
Quick Start
These quick-start examples demonstrate theme and palette usage.
import seaborn as sns
import matplotlib.pyplot as plt
from pypubfigs import friendly_pal, theme_big_simple
# Apply theme and palette
theme_big_simple()
sns.set_palette(friendly_pal("ito_seven"))
# Plot
tips = sns.load_dataset("tips")
sns.barplot(x="day", y="total_bill", hue="sex", data=tips)
plt.show()
import matplotlib.pyplot as plt
from pypubfigs import friendly_pal, theme_big_grid
theme_big_grid()
palette = friendly_pal("bright_seven")
x = [1, 2, 3, 4]
y1 = [10, 20, 25, 30]
y2 = [30, 23, 15, 5]
plt.bar(x, y1, color=palette[0], label="Group 1")
plt.bar(x, y2, bottom=y1, color=palette[1], label="Group 2")
plt.legend()
plt.show()
Color Palettes
All palettes are colorblind-friendly.
from pypubfigs import friendly_pal
# Discrete
friendly_pal("contrast_three")
# Continuous
friendly_pal("contrast_three", n=50, type="continuous")
Table of Hex Codes
| Palettes | Colors used |
|---|---|
| bright_seven | #4477AA, #228833, #AA3377, #BBBBBB, #66CCEE, #CCBB44, #EE6677 |
| contrast_three | #004488, #BB5566, #DDAA33 |
| vibrant_seven | #0077BB, #EE7733, #33BBEE, #CC3311, #009988, #EE3377, #BBBBBB |
| muted_nine | #332288, #117733, #CC6677, #88CCEE, #999933, #882255, #44AA99, #DDCC77, #AA4499 |
| nickel_five | #648FFF, #FE6100, #785EF0, #FFB000, #DC267F |
| ito_seven | #0072B2, #D55E00, #009E73, #CC79A7, #56B4E9, #E69F00, #F0E442 |
| ibm_five | #648FFF, #785EF0, #DC267F, #FE6100, #FFB000 |
| wong_eight | #E69F00, #56B4E9, #009E73, #F0E442, #0072B2, #D55E00, #CC79A7, #000000 |
| tol_eight | #332288, #117733, #44AA99, #88CCEE, #DDCC77, #CC6677, #AA4499, #882255 |
| zesty_four | #F5793A, #A95AA1, #85C0F9, #0F2080 |
| retro_four | #601A4A, #EE442F, #63ACBE, #F9F4EC |
| tableau_ten | #4E79A7, #F28E2B, #E15759, #76B7B2, #59A14F, #EDC948, #B07AA1, #FF9DA7, #9C755F, #BAB0AC |
| glasbey_twelve | #0000FF, #FF0000, #00FF00, #000033, #FF00B6, #005300, #FFD300, #009FFF, #9A4D42, #00FFBE, #783FC1, #1F9698 |
| viridis_eight | #440154, #46337E, #365C8D, #277F8E, #1FA187, #4AC16D, #9FDA3A, #FDE725 |
| cividis_eight | #00204D, #16396D, #4B546C, #6C6E72, #8E8A79, #B3A772, #DBC761, #FFEA46 |
Themes
Publication-ready themes
theme_simple()theme_big_simple()theme_grid()theme_big_grid()theme_grey()
Presentation-ready themes
theme_black()theme_blue()theme_red()
import seaborn as sns
import matplotlib.pyplot as plt
from pypubfigs import friendly_pal, theme_black
theme_black()
sns.set_palette(friendly_pal("bright_seven"))
tips = sns.load_dataset("tips")
sns.scatterplot(data=tips, x="total_bill", y="tip", hue="day")
plt.title("Seaborn example with theme_black()")
plt.show()
FAQ
Can I submit color palettes or themes to be incorporated into pypubfigs?
Yes. Submissions are encouraged. Please reach out via Bluesky or contact information.
Change Log
1.1.3 (2026-02-24)
- Added new palettes:
tableau_ten,glasbey_twelve,viridis_eight, andcividis_eight. - Updated README palette table and usage examples.
- Added tests for palette and theme behavior.
1.1.2
- Strengthened theme/grid behavior consistency.
- Expanded automated tests.
1.1.1 and earlier
- Initial release series for Python parity with ggpubfigs themes and palettes.
Acknowledgements
- This package is the Python counterpart of ggpubfigs.
- Palette and theme design are based on the original ggpubfigs publication and implementation.
1 maintainer
Metadata
1 maintainer
Release files for pypubfigs 1.1.3
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Total release size: 14.1 kB
Release files / pypubfigs-1.1.3.tar.gz
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