Great data sets for Topological Data Analysis.
Project description
TaDAsets
Data sets apt for Topological Data Analysis. This project is a part of scikit-tda.
Motivation
At SoCG 2018, there was discussion about the need for data sets for two main purposes
- Benchmarking new algorithms
- Demonstrating benefits of TDA
Data generation
We provide constructors for some synthetic data sets that are popular in development and testing of TDA techniques.
- Torus
- 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)
or
import tadasets
data = tadasets.swiss_roll(n=1000, r=10)
tadasets.plot3d(data)
Contributions
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.
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
tadasets-0.0.3.tar.gz
(4.1 kB
view hashes)