Skip to main content

NURBS 2D/3D curve and surface evaluation library in native Python

Project description

DOI RTD TRAVISCI APPVEYOR LANDSCAPEIO WAFFLEIO

Description

NURBS-Python provides Non-Uniform Rational B-Spline (NURBS) surface and 2D/3D curve data structures and computation algorithms in native Python. The library is fully object-oriented and does not depend on any external libraries.

Features

The package contains 4 modules:

  • geomdl.BSpline contains Non-Uniform B-Spline (NUBS) evaluation and storage functionality

  • geomdl.NURBS contains Non-Uniform Rational B-Spline (NURBS) evaluation and storage functionality

  • geomdl.CPGen contains simple control points grid generation algorithms

  • geomdl.utilities contains helper functions for generating and manipulating knot vectors and control points

geomdl.BSpline and geomdl.NURBS modules contain 3 classes for geometric evaluation:

  • Curve for evaluating 3D curves

  • Curve2D for evaluating 2D curves

  • Surface for evaluating surfaces

geomdl.CPGen module contains 2 classes for grid generation:

  • Grid for generating inputs for geomdl.BSpline.Surface class

  • GridWeighted for generating inputs for geomdl.NURBS.Surface class

The package also contains an experimental visualization module for plotting generated curves and surfaces. Please see the Examples repository for more details on how to use NURBS-Python and example scripts.

Further Reading

License

NURBS-Python is licensed under The MIT License.

Project details


Download files

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

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

NURBS_Python-3.0.15-py2.py3-none-any.whl (34.0 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file NURBS_Python-3.0.15-py2.py3-none-any.whl.

File metadata

File hashes

Hashes for NURBS_Python-3.0.15-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 1bd9a10b50961020cb5f2f4442ff19bf6d166a123562250a4c59845fcf8c5a50
MD5 80d2f47b2f8856eda8d5d5f17fc72109
BLAKE2b-256 02b79c8882013a3cb3ea34e11956bab96266e6495d1c70e1e09d68484f101201

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