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pyalluv

matplotlib based tool for the visualization of alluvial diagrams.

https://github.com/j-i-l/pyalluv

Science Score: 54.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ✓
    CITATION.cff file
    Found CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ○
    DOI references
  • ✓
    Academic publication links
    Links to: zenodo.org
  • ○
    Committers with academic emails
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (6.8%) to scientific vocabulary

Keywords

clustering matplotlib python temporal-networks timeseries-analysis visualization
Last synced: 4 months ago · JSON representation ·

Repository

matplotlib based tool for the visualization of alluvial diagrams.

Basic Info
  • Host: GitHub
  • Owner: j-i-l
  • License: gpl-3.0
  • Language: Python
  • Default Branch: master
  • Homepage: https://pyalluv.rtfd.io/
  • Size: 83 KB
Statistics
  • Stars: 6
  • Watchers: 2
  • Forks: 2
  • Open Issues: 3
  • Releases: 2
Topics
clustering matplotlib python temporal-networks timeseries-analysis visualization
Created over 6 years ago · Last pushed about 2 years ago
Metadata Files
Readme Funding License Citation

README.rst 

=======
pyAlluv
=======
.. image:: https://readthedocs.org/projects/pyalluv/badge/?version=latest
   :target: https://pyalluv.readthedocs.io/en/latest/?badge=latest
   :alt: Documentation Status

.. image:: https://zenodo.org/badge/184264168.svg
   :target: https://zenodo.org/badge/latestdoi/184264168

Package to draw alluvial plots with matplotlib.

.. figure:: docs/_static/life_cycles.png

    Alluvialdiagram illustrating life-cycle events in a dynamic community.
    source: `life_cycle_events.py`_ 

.. _life_cycle_events.py: examples/life_cycle_events.py

To get started checkout the `documentation `_.

.. inclusion-marker-do-not-remove

Installation
=============

You can get the latest version with

.. code-block:: console

    pip install --upgrade --no-deps git+https://github.com/j-i-l/pyalluv.git
    

Examples
=========

.. exclusion-marker-do-not-remove

See `life_cycle_events.py `_

Documentation
==============

http://pyalluv.rtfd.io/

Owner

  • Name: Jonas I. Liechti
  • Login: j-i-l
  • Kind: user
  • Location: CH
  • Company: @t4d-gmbh

Physicist, Data Scientist (PhD), System Engineer and Coding Enthusiast

Citation (CITATION.cff) 

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
- family-names: "Liechti"
  given-names: "Jonas"
  orcid: "https://orcid.org/0000-0003-3447-3060"
title: "pyAlluv: Alluvial diagrams in python"
version: 0.1.1
doi: 10.5281/zenodo.3678351
date-released: 2020-02-21
url: "https://github.com/j-i-l/pyAlluv"

GitHub Events

Total
Last Year

Committers

Last synced: about 1 year ago

All Time
  • Total Commits: 38
  • Total Committers: 1
  • Avg Commits per committer: 38.0
  • Development Distribution Score (DDS): 0.0
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Jonas I Liechti j****i@p****h 38
Committer Domains (Top 20 + Academic)
protonmail.ch: 1

Issues and Pull Requests

Last synced: about 1 year ago

All Time
  • Total issues: 4
  • Total pull requests: 4
  • Average time to close issues: 22 minutes
  • Average time to close pull requests: 7 minutes
  • Total issue authors: 1
  • Total pull request authors: 1
  • Average comments per issue: 0.0
  • Average comments per pull request: 0.0
  • Merged pull requests: 3
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
  • j-i-l (4)
Pull Request Authors
  • j-i-l (4)
Top Labels
Issue Labels
enhancement (2) good first issue (1) bug (1)
Pull Request Labels

Dependencies

setup.py pypi
  • matplotlib *