Skip to main content

Package to perform calculations using the Huzita-Justin axioms for 2-dimensional origami

Project description

Origametry

Python package to perform calculations using the Huzita-Justin axioms for 2-dimensional origami

Installation

pip install origametry

Getting Started

From only a few starting points, you can generate complex sequences of folds

from origametry import Point, fold, show

point_1 = Point(0, 0)
point_2 = Point(2, 1)

# axiom 2: point onto point
line = fold(point_1, point_2)

# axiom 5: point onto line through another point (2 solutions)
creases = fold(point_1, line, point_2, point_2)

And view your resulting crease pattern

show(point_1, point_2, line, creases=creases)

example plot

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

origametry-0.0.6.tar.gz (15.2 kB view details)

Uploaded Source

Built Distribution

origametry-0.0.6-py3-none-any.whl (15.9 kB view details)

Uploaded Python 3

File details

Details for the file origametry-0.0.6.tar.gz.

File metadata

  • Download URL: origametry-0.0.6.tar.gz
  • Upload date:
  • Size: 15.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.8.10

File hashes

Hashes for origametry-0.0.6.tar.gz
Algorithm Hash digest
SHA256 9a1973891a12f69d106b3cff144632a16d5648ff8f47aa60549db0b1897a7c49
MD5 d2093e801ed255d428f7fe78af97f184
BLAKE2b-256 a596cfd150398a402831def032b7da019f8fc88f5fec99634ef24729a1c124b6

See more details on using hashes here.

File details

Details for the file origametry-0.0.6-py3-none-any.whl.

File metadata

  • Download URL: origametry-0.0.6-py3-none-any.whl
  • Upload date:
  • Size: 15.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.8.10

File hashes

Hashes for origametry-0.0.6-py3-none-any.whl
Algorithm Hash digest
SHA256 b219ceb4567b8962c6aa72267efef48e5894ae4ea38b3010d0c4c10418682c82
MD5 e41b4194977d67e755e0351efd5696de
BLAKE2b-256 18fe6c6e4eb32925a91dc1c3d028d7ff0ed27a4775772fa5ca7d222ab2cf842e

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page