https://github.com/warrenweckesser/voronoiz

Functions for generating Voronoi diagrams with alternate metrics.
https://github.com/warrenweckesser/voronoiz

manhattan-distance python voronoi voronoi-diagram

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Functions for generating Voronoi diagrams with alternate metrics.

• Host: GitHub
• URL: https://github.com/warrenweckesser/voronoiz
• Owner: WarrenWeckesser
• License: mit
• Created: 2021-10-20T16:35:10.000Z (almost 3 years ago)
• Default Branch: main
• Last Pushed: 2024-09-06T18:53:28.000Z (27 days ago)
• Last Synced: 2024-09-06T22:16:20.340Z (27 days ago)
• Topics: manhattan-distance, python, voronoi, voronoi-diagram
• Language: Python
• Homepage:
• Size: 996 KB
• Stars: 2
• Watchers: 3
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.txt

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README

        
voronoiz

--------

Some functions for computing Voronoi diagrams for points in the

plane for metrics other than the Euclidean metric.

* `voronoi_l1` creates Voronoi cells (polygons) for a set of points

  using the L1 metric (also known as the city-block metric,

  the Manhattan metric, or the taxicab metric). The function

  requires the Shapely library (https://pypi.org/project/Shapely/).

* `voronoi_grid` is for displaying a Voronoi diagram as an image.

  It samples a grid of points and generates an array of integers

  that indicate the index in the given `points` array that is

  closest to the grid point.  It uses `scipy.spatial.distance.cdist`

  to compute the distance, so any metric provided by that function

  can be used.  `voronoi_grid` requires SciPy.

Demonstration code is in `examples/voronoi_demo.py`.  When that file

is run, it generates these plots of the result of `voronoi_l1` and

`voronoi_grid` applied to a random  set of points:

![](https://github.com/WarrenWeckesser/voronoiz/blob/main/examples/demo_fig1.png)

![](https://github.com/WarrenWeckesser/voronoiz/blob/main/examples/demo_fig2.png)

![](https://github.com/WarrenWeckesser/voronoiz/blob/main/examples/demo_fig3.png)