ggsci for Python 
ggsci for Python offers a collection of plotnine color palettes inspired by scientific journals, data visualization libraries, science fiction movies, and TV shows.
Installation
You can install py-ggsci from PyPI:
pip install ggsci
Or install the development version from GitHub:
git clone https://github.com/nanxstats/py-ggsci.git
cd py-ggsci
python3 -m pip install -e .
Related projects
ggsci is also available in other programming languages:
1 maintainer
Release files for ggsci 2.2.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| ggsci-2.2.1.tar.gz | 52.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| ggsci-2.2.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 105.8 kB
Release files / ggsci-2.2.1.tar.gz
| Download URL | ggsci-2.2.1.tar.gz |
|---|---|
| Size | 52.4 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
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Release files / ggsci-2.2.1-py3-none-any.whl
| Download URL | ggsci-2.2.1-py3-none-any.whl |
|---|---|
| Size | 53.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
uv/0.12.11 {"installer":{"name":"uv","version":"0.12.11","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"macOS","version":null,"id":null,"libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":null}
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