https://github.com/mbhall88/cud

Color Universal Design colourblind-friendly python matplotlib palette
https://github.com/mbhall88/cud

color-palette color-universal-design colour colour-palette colourblind matplotlib python

Last synced: 7 months ago
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Color Universal Design colourblind-friendly python matplotlib palette

• Host: GitHub
• URL: https://github.com/mbhall88/cud
• Owner: mbhall88
• License: unlicense
• Created: 2024-02-07T03:07:47.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2024-03-25T22:41:43.000Z (over 1 year ago)
• Last Synced: 2025-03-11T03:40:49.688Z (7 months ago)
• Topics: color-palette, color-universal-design, colour, colour-palette, colourblind, matplotlib, python
• Language: Python
• Homepage:
• Size: 127 KB
• Stars: 2
• Watchers: 1
• Forks: 1
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# Color Universal Design colourblind-friendly python matplotlib palette

This repository contains a python file [`cud.py`](./cud.py) which contains a dictionary, list, and associated function for creating a palette based on the [Color Universal Design][cud].

|-|Hex|Color |

|---|---|---|

|![#000000](https://placehold.co/15x15/000000/000000.png) |`#000000` | Black |

|![#e69f00](https://placehold.co/15x15/e69f00/e69f00.png) |`#e69f00` | Orange |

|![#56b4e9](https://placehold.co/15x15/56b4e9/56b4e9.png) |`#56b4e9` | Skyblue |

|![#009e73](https://placehold.co/15x15/009e73/009e73.png) |`#009e73` | Bluish Green |

|![#f0e442](https://placehold.co/15x15/f0e442/f0e442.png) |`#f0e442` | Yellow |

|![#0072b2](https://placehold.co/15x15/0072b2/0072b2.png) |`#0072b2` | Blue |

|![#d55e00](https://placehold.co/15x15/d55e00/d55e00.png) |`#d55e00` | Vermilion |

|![#cc79a7](https://placehold.co/15x15/cc79a7/cc79a7.png) |`#cc79a7` | Redish Purple |

## Usage

Copy and paste the contents of `cud.py` into your project and use the `cud()` function as follows.

The standard 8-colour palette

```python

palette = cud()

plot_colourtable(palette)

```

![standard palette](./imgs/standard.png)

Or you can offset and start from the second colour

```python

palette = cud(start=1)

plot_colourtable(palette)

```

![offset palette](./imgs/offset.png)

Or only select three colours

```python

palette = cud(n=3)

plot_colourtable(palette)

```

![three palette](./imgs/three.png)

See [`utils.py`](./utils.py) for the code used to generate the above plots.

A common usecase for such a palette would be with [`seaborn`][seaborn]

```python

import seaborn as sns

sns.set_theme(style="whitegrid")

penguins = sns.load_dataset("penguins")

palette = cud()

# Draw a nested barplot by species and sex

g = sns.catplot(

    data=penguins, kind="bar",

    x="species", y="body_mass_g", hue="sex",

    errorbar="sd", alpha=.6, height=6,

    palette=palette

)

g.despine(left=True)

g.set_axis_labels("", "Body mass (g)")

g.legend.set_title("")

```

![seaborn palette](./imgs/seaborn.png)

[cud]: https://jfly.uni-koeln.de/color/

[seaborn]:https://seaborn.pydata.org