Great data sets for Topological Data Analysis.
[![PyPI version](https://badge.fury.io/py/tadasets.svg)](https://badge.fury.io/py/tadasets) [![Build Status](https://travis-ci.org/scikit-tda/tadasets.svg?branch=master)](https://travis-ci.org/scikit-tda/tadasets) [![Codecov](https://codecov.io/gh/scikit-tda/tadasets/branch/master/graph/badge.svg)](https://codecov.io/gh/scikit-tda/tadasets) [![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
# TaDAsets 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
## Data generation
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||File type||Python version||Upload date||Hashes|
|Filename, size tadasets-0.0.1-py3-none-any.whl (3.2 kB)||File type Wheel||Python version py3||Upload date||Hashes View|
|Filename, size tadasets-0.0.1.tar.gz (3.1 kB)||File type Source||Python version None||Upload date||Hashes View|