voronoi-diagram | Interactive voronoi diagram | Data Visualization library

by svsem JavaScript Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(3)Vulnerabilities Install Support

kandi X-RAY | voronoi-diagram Summary

voronoi-diagram is a JavaScript library typically used in Analytics, Data Visualization, D3 applications. voronoi-diagram has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

Interactive voronoi diagram

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Support

voronoi-diagram has a low active ecosystem.

It has 43 star(s) with 4 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

voronoi-diagram has no issues reported. There are 3 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of voronoi-diagram is current.

Quality

voronoi-diagram has 0 bugs and 0 code smells.

Security

voronoi-diagram has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

voronoi-diagram code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

voronoi-diagram 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

voronoi-diagram releases are not available. You will need to build from source code and install.

voronoi-diagram saves you 16 person hours of effort in developing the same functionality from scratch.

It has 45 lines of code, 0 functions and 13 files.

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

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voronoi-diagram Key Features

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voronoi-diagram Examples and Code Snippets

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Community Discussions

Trending Discussions on voronoi-diagram

Voronoi cells - remove boundary lines

Fill color in single cells in a networkx graph

how to apply a three point triangle gradient in opencv?

QUESTION

Voronoi cells - remove boundary lines

Asked 2022-Mar-09 at 04:05

I would really appreciate it if someone can help me with the code below. I am trying to plot Voronoi cells for some random data points and I want to assign some colours. The to reproduce my work is provided below. As you can see in the plot, there are thick lines. I completely want to eliminate those lines. Is there any way to get rid of them? I want to fill the polygon but not have the line. Any recommendation is greatly appreciated.

I took most of the code from here

...

ANSWER

Answered 2022-Mar-09 at 04:05

You can pass linewidth=0 to plt.fill() to get rid of the lines.

Source https://stackoverflow.com/questions/71404030

QUESTION

Fill color in single cells in a networkx graph

Asked 2022-Jan-26 at 17:10

I've build a graph with networkx, that looks like this: Graph

I want to fill every singel cell with a specified color. The Graph was drawn by nx.draw_networkx_edges() (returns a LineCollection). I found a similar question here (Fill area between lines), but the solution in the comments, doesn't worked for me.

I've also used plt.fill_between with a simpler graph and manually set the values:

...

ANSWER

Answered 2022-Jan-26 at 17:10

Using the first code block from the question that shows filling the simpler graph, I constructed an example network. The edges are listed below:

Source https://stackoverflow.com/questions/70827077

QUESTION

how to apply a three point triangle gradient in opencv?

Asked 2020-May-18 at 06:52

Say we have a Delaunay-triangulation like this one:

produced from fillConvexPoly on getVoronoiFacetList

Inside there are triangles that can be obtained via getTriangleList. I want to draw Delaunay-triangulation like it is a smooth gradient image composed of triangles like this:

How to do such thing in opencv?

...

ANSWER

Answered 2020-May-18 at 06:52

In OpenCV, I do not believe that there is any readily available function to do that. You would have to loop over each pixel in the image and compute the barycentric (area) interpolation. See for example, https://codeplea.com/triangular-interpolation

However, in Python/Wand (based upon ImageMagick), you can do it as follows:

Source https://stackoverflow.com/questions/61854897

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

Vulnerabilities

No vulnerabilities reported

Install voronoi-diagram

You can download it from GitHub.

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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