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.
3 maintainers
Metadata
3 maintainers
Release files for tadasets 0.0.4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
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| tadasets-0.0.4.tar.gz | 6.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| tadasets-0.0.4-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 13.2 kB
Release files / tadasets-0.0.4.tar.gz
| Download URL | tadasets-0.0.4.tar.gz |
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| Size | 6.2 kB |
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Release files / tadasets-0.0.4-py3-none-any.whl
| Download URL | tadasets-0.0.4-py3-none-any.whl |
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| Size | 7.1 kB |
| Tags | Python 3 |
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