NURBS-Python | Object-oriented pure Python B-Spline and NURBS library | Development Tools library

by orbingol Python Version: 3.9.0 License: MIT

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | NURBS-Python Summary

NURBS-Python is a Python library typically used in Utilities, Development Tools applications. NURBS-Python has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install NURBS-Python' or download it from GitHub, PyPI.

Object-oriented pure Python B-Spline and NURBS library

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Support

NURBS-Python has a low active ecosystem.

It has 455 star(s) with 138 fork(s). There are 40 watchers for this library.

It had no major release in the last 12 months.

There are 40 open issues and 98 have been closed. On average issues are closed in 52 days. There are 7 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of NURBS-Python is 3.9.0

Quality

NURBS-Python has 0 bugs and 0 code smells.

Security

NURBS-Python has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

NURBS-Python code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

NURBS-Python is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

NURBS-Python releases are available to install and integrate.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

NURBS-Python saves you 5131 person hours of effort in developing the same functionality from scratch.

It has 10729 lines of code, 991 functions and 58 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed NURBS-Python and discovered the below as its top functions. This is intended to give you an instant insight into NURBS-Python implemented functionality, and help decide if they suit your requirements.

Insert knot
Finds the span between the knot vector
Find the multiplicity of a knot vector
Flips a list of control points
Removes knot from the object
Calculates the coefficient of the knot removal
Calculate the coefficient of knot removal
R Remove knot removal
R Fix surfaces for multiple surfaces
Return the degree operations of a spline geometry
Render the plot
Decorator to cache lru_cache
Render plot
Imports a mesh object from a file
Animate the surface
Render the surface
Rotate object
Approximate the curve
R Split the surface of the surface
R Split the surface of a surface
Imports a text file
Return a list of Geometry objects corresponding to the input geometry
Refine a knot vector
Trim a surface trims
Compute the surface of the surface
Render the plot

Get all kandi verified functions for this library.

NURBS-Python Key Features

No Key Features are available at this moment for NURBS-Python.

NURBS-Python Examples and Code Snippets

No Code Snippets are available at this moment for NURBS-Python.

Community Discussions

Trending Discussions on NURBS-Python

What is a generic data structure for bezier curves or b-splines?

Python: Rotate plane (set of points) to match new normal vector using scipy.spatial.transform.Rotation

QUESTION

What is a generic data structure for bezier curves or b-splines?

Asked 2021-Feb-27 at 19:43

I am wondering how you would model arbitrarily complex Bézier curves. I am not quite understanding the underlying abstraction yet of what a bezier curve is fundamentally composed of, as there are too many equations. I would like to have a generic struct that defines a bezier curve. The SVG path gives many examples of the types of curves you can create. They include linear, cubic, and quadratic bezier curves.

If a B-spline is a better generic model, then that would be fine to use too. I am not familiar with those yet tho. Difference between bezier segment and b-spline. I guess "a B-spline curve is a curve that consists of Bezier curves as segments", so that is what I am looking for.

SVG docs say:

Cubic Béziers take in two control points for each point.

Several Bézier curves can be stringed together to create extended, smooth shapes. Often, the control point on one side of a point will be a reflection of the control point used on the other side to keep the slope constant. In this case, a shortcut version of the cubic Bézier can be used, designated by the command S (or s).

The other type of Bézier curve, the quadratic curve called with Q, is actually a simpler curve than the cubic one. It requires one control point which determines the slope of the curve at both the start point and the end point. It takes two parameters: the control point and the end point of the curve.

Arcs and NURBS (non-uniform rational B-splines) are more complex than just plain bezier curves, but it would be nice if the model could be generalized enough to include these as well. Basically I would like a generic model of bezier curves/b-splines/nurbs to use in a drawing/graphics framework, and not sure what that would be.

Must each bezier class be implemented separately, or can they be combined into one generic class?
If separate, are they each basically just an array of control points?

So basically I start to think:

...

ANSWER

Answered 2021-Feb-27 at 18:15

The most generic data structure for a Bezier curve is simply one that contains an array of control points. The degree of the Bezier curve is the number of control points - 1. So, linear, quadratic and cubic Bezier curves can all use the same data structure with difference in number of control points.

For B-spline curve, the generic data structure will contain

Degree (D)
Number of control points (N)
Array of control points
Knot sequence.

The knot sequence is simply a "double[ ]" of length = N+D+1. The knot values need to be in non-decreasing order.

Source https://stackoverflow.com/questions/66398441

QUESTION

Python: Rotate plane (set of points) to match new normal vector using scipy.spatial.transform.Rotation

Asked 2020-Sep-10 at 20:06

So I'm currently trying to take slices on a plane orthogonal to a spline. Direction doesn't really matter too much since I'm using the points to interpolate 3D scans

I'm mainly unsure about the rotmat method (this is a stripped down version of my class, technically a NURBS-Python surface derived class), where I'm rotating the plane mesh from a flat x/y plane (all z=0) to match the new normal vector (tangent of the spline, stored in the der variable).

Anyone have an idea how to rotate a set of points to go from one normal vector to another? The angle around the axis of the new vector doesn't matter than much to me.

(sorry for vg, kind of an obscure library but somewhat convenient actually):

...

ANSWER

Answered 2020-Sep-10 at 20:06

I think I ended up producing something that seems to work in the end:

Source https://stackoverflow.com/questions/63287960

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install NURBS-Python

You can install using 'pip install NURBS-Python' or download it from GitHub, PyPI.
You can use NURBS-Python like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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