Color palettes for scientific purposes
Project description
ArtSciColor
Creating a python package with color palettes and utilities for their use in matplotlib, seaborn, plotly, and others.
:construction: WORK IN PROGRESS :construction:
R users or Python users who don't want to install the package but still want to use the palettes, can download them in CSV form from the dataset's permalink!
Installation
The package is available through pypi, so it can be installed by running:
pip install ArtSciColor
Usage
To use a color palette simply load the package and run:
import ArtSciColor as art
hexPalette = art.getSwatch(SWATCH_ID)
where the SWATCH_ID
should match one of the palettes available in our package (see the following section for more info).
Available Swatches
Have a look at currently-available palettes by selecting your favorite artist or category, and use one through its ID
!
Art
Miro, Nolde, Kirchner, Warhol, Monet, Picasso
Movies
Gaming
Splatoon1, Splatoon2, Splatoon3
Other
Full dataframe in CSV for available for download here!
Author and Notes
This package was initially inspired by Blake R Mills' R packages (MoMA Colors and MetBrewer).
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file ArtSciColor-0.1.5.4.tar.gz
.
File metadata
- Download URL: ArtSciColor-0.1.5.4.tar.gz
- Upload date:
- Size: 50.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.4
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | c0cae5d7fe4409f41ebea17b2a82f53c2234e072b40485045d301a0c9f7b84a0 |
|
MD5 | 0428379ffdb724a86cbad6e3edd7ff8e |
|
BLAKE2b-256 | 875ce71bf593f55e593f6d75eeab3c381d0d5c8c14394665b3154d5bebb327ca |
File details
Details for the file ArtSciColor-0.1.5.4-py3-none-any.whl
.
File metadata
- Download URL: ArtSciColor-0.1.5.4-py3-none-any.whl
- Upload date:
- Size: 48.2 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.4
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | a6a1e9a902d81cf70a439a863a12695bc9fd35c9393852a4f00cf13d5d4ffb63 |
|
MD5 | 1546667d4236ef24a3c4dd6b7430c741 |
|
BLAKE2b-256 | 2b847fc7e8321c2508cb45c7c84e103e26e373ed4b9a8ee242fe1e4f3a191844 |