Great data sets for Topological Data Analysis.
Data sets apt for Topological Data Analysis. This project is a part of scikit-tda.
At SoCG 2018, there was discussion about the need for data sets for two main purposes
- Benchmarking new algorithms
- Demonstrating benefits of TDA
We provide constructors for some synthetic data sets that are popular in development and testing of TDA techniques.
- Klein Bottle
- Swiss Roll
Setup and Usage
You can install from Pypi
pip install tadasets
or from source
git clone https://github.com/scikit-tda/tadasets cd tadasets pip install -e .
Examples of usage is
import tadasets data = tadasets.sphere(n=1000, r=10) tadasets.plot3d(data)
import tadasets data = tadasets.swiss_roll(n=1000, r=10) tadasets.plot3d(data)
This package is in the very early stages of development. As I think of shapes and data sets, I add them. If you have ideas, please do suggest them in an issue and submit a pull request! All contributions are welcome.
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
|Filename, size & hash SHA256 hash help||File type||Python version||Upload date|
|tadasets-0.0.3-py3-none-any.whl (4.2 kB) Copy SHA256 hash SHA256||Wheel||py3||Jul 30, 2018|
|tadasets-0.0.3.tar.gz (4.1 kB) Copy SHA256 hash SHA256||Source||None||Jul 30, 2018|