Skip to main content

A Lean Persistent Homology Library for Python

Project description

PyPI version Build Status codecov License: LGPL v3

Ripser

Ripser is now a Python class implemented in the Scikit-learn style. It is easy to install, only requires that you have Cython installed first. It is even easier to use.

For the C++ library, see Ripser/ripser.

Details from the old readme can be found here.

Setup

Installation requires Cython, and currently must be installed from source. An example of how to install is

pip install Cython
pip install Ripser

We use matplotlib for generating persistence diagrams

Usage

import numpy as np
from ripser import Rips
r = Rips()

data = np.random.random((100,2))
diagram = r.fit_transform(data)
r.plot(diagram)

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for ripser, version 0.2.1
Filename, size File type Python version Upload date Hashes
Filename, size ripser-0.2.1-cp36-cp36m-macosx_10_12_x86_64.whl (53.6 kB) File type Wheel Python version cp36 Upload date Hashes View hashes
Filename, size ripser-0.2.1.tar.gz (64.1 kB) File type Source Python version None Upload date Hashes View hashes

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page