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https://github.com/bast/polygenerator
Generates random simple polygons.
https://github.com/bast/polygenerator
polygons python random
Last synced: 2 months ago
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Generates random simple polygons.
- Host: GitHub
- URL: https://github.com/bast/polygenerator
- Owner: bast
- License: mit
- Created: 2021-09-24T11:47:18.000Z (over 3 years ago)
- Default Branch: main
- Last Pushed: 2021-09-26T12:41:06.000Z (over 3 years ago)
- Last Synced: 2024-10-31T12:50:44.408Z (3 months ago)
- Topics: polygons, python, random
- Language: Python
- Homepage:
- Size: 597 KB
- Stars: 11
- Watchers: 2
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
[![license](https://img.shields.io/badge/license-%20MIT-blue.svg)](LICENSE)
[![test status](https://github.com/bast/polygenerator/workflows/Test/badge.svg)](https://github.com/bast/polygenerator/actions)
[![link to PyPI](https://badge.fury.io/py/polygenerator.svg)](https://badge.fury.io/py/polygenerator)# polygenerator
Generates random simple polygons. This can be useful to test computational
geometry algorithms.## Installation
```
$ pip install polygenerator
```## API
There are 3 functions and each returns a list of (x, y) tuples:
- `random_convex_polygon(num_points)`
- `random_polygon(num_points)`
- `random_star_shaped_polygon(num_points)`All polygons are generated to be **counterclockwise**. You can reverse the order
outside if you need the points in clockwise order.The generated polygon is made to fit the bounding box (0.0, 0.0) ... (1.0, 1.0)
and you can then scale and translate it to where you need it.## Example
```python
from polygenerator import (
random_polygon,
random_star_shaped_polygon,
random_convex_polygon,
)from plot import plot_polygon
# this is just so that you can reproduce the same results
import random
random.seed(5)polygon = random_polygon(num_points=20)
print(polygon)
# [(0.752691110661913, 0.948158571633034), (0.7790276993942304, 0.05437135270534656), ..., (0.633385213909564, 0.7365967958574935)]plot_polygon(polygon, "random_polygon.png")
```
![random polygon](img/random_polygon.png)```python
polygon = random_star_shaped_polygon(num_points=20)
plot_polygon(polygon, "random_star_shaped_polygon.png")
```
![random star shaped polygon](img/random_star_shaped_polygon.png)```python
polygon = random_convex_polygon(num_points=20)
plot_polygon(polygon, "random_convex_polygon.png")
```
![random convex polygon](img/random_convex_polygon.png)## Notes
- For the generation of a concave/general polygon, algorithms with better
scaling exist but this was good enough for me since for testing I did not
need polygons with more than 100 points. Improvements welcome.