Poisson disc sampling

Poisson disc sampling in arbitrary dimensions using Bridson's algorithm, implemented in python using numpy and scipy.

Generates so-called "blue noise" that prevents clustering by ensuring each two points are at least radius apart.

Implementation is located in poisson_disc.py, while poisson_disc_sampling.ipynb contains some examples.

Available through PyPI as poisson_disc, https://pypi.org/project/poisson-disc/

Metadata

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Source distribution for poisson-disc 0.2.1
File	Size	Uploaded
poisson_disc-0.2.1.tar.gz	3.7 kB	Feb 5, 2021	Details

Table of built distributions (wheels) for poisson-disc 0.2.1
File	Interpreter	ABI	Platform	Reset
poisson_disc-0.2.1-py3-none-any.whl 4.6 kB Feb 5, 2021	Python 3	none	any	Details

Total release size: 8.3 kB

Download URL	poisson_disc-0.2.1.tar.gz
Size	3.7 kB
Tags	Source
SHA-256 checksum How to use checksums	`ce27112eabf1bbf3ad1b28a15005d31bfff8f45390bcdfd20f8ae0aceae2b0b4`
BLAKE2b-256 checksum How to use checksums	`bda15cf94da9eb526be07d5544b9ca3f15e3961c527facf78556db9d5ff6b64a`
Upload date	Feb 5, 2021
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`poetry/1.1.4 CPython/3.7.9 Linux/5.4.0-65-generic`

Download URL	poisson_disc-0.2.1-py3-none-any.whl
Size	4.6 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`158ee3f471018cf0d4c1cbd4bd6432fd66c7d56785a91e6234eefbf71e55a599`
BLAKE2b-256 checksum How to use checksums	`cf6d61237b115905fbb7ad525d04acf5f621c7bff1dd7550041d4b399ce64790`
Upload date	Feb 5, 2021
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`poetry/1.1.4 CPython/3.7.9 Linux/5.4.0-65-generic`