Metadata-Version: 2.1
Name: pypianoroll
Version: 0.4.2
Summary: A python package for handling multi-track piano-rolls.
Home-page: https://github.com/salu133445/pypianoroll
Author: Hao-Wen Dong
Author-email: salu133445@gmail.com
License: UNKNOWN
Download-URL: https://github.com/salu133445/pypianoroll/archive/0.4.2.tar.gz
Project-URL: Documentation, https://salu133445.github.io/pypianoroll/
Description: Pypianoroll
        ===========
        
        A python package for handling multi-track piano-rolls.
        
        .. image:: https://badge.fury.io/py/pypianoroll.svg
           :target: https://badge.fury.io/py/pypianoroll
        .. image:: https://travis-ci.org/salu133445/pypianoroll.svg
           :target: https://travis-ci.org/salu133445/pypianoroll
        .. image:: https://coveralls.io/repos/github/salu133445/pypianoroll/badge.svg
           :target: https://coveralls.io/github/salu133445/pypianoroll
        .. image:: https://img.shields.io/badge/License-MIT-blue.svg
           :target: https://github.com/salu133445/musegan/blob/master/LICENSE.txt
        
        Features
        --------
        
        - handle piano-rolls of multiple tracks with metadata
        - utilities for manipulating piano-rolls
        - save to and load from .npz files using efficient sparse matrix format
        - parse from and write to MIDI files
        
        Installation
        ------------
        
        To install Pypianoroll from PYPI:
        
        .. code-block:: bash
        
            $ pip install pypianoroll
        
        To install Pypianoroll manually (please download the source code from either
        PYPI_ or Github_ first):
        
        .. code-block:: bash
        
            $ python setup.py install
        
        Documentation
        -------------
        
        Documentation is provided as docstrings with the code. An online version is
        also available here_.
        
        Citing
        ------
        
        Please cite the following paper if you use Pypianoroll in a published work:
        
        Hao-Wen Dong, Wen-Yi Hsiao, Li-Chia Yang and Yi-Hsuan Yang,
        "MuseGAN: Multi-track Sequential Generative Adversarial Networks for Symbolic
        Music Generation and Accompaniment,"
        in AAAI Conference on Artificial Intelligence (AAAI), 2018.
        
        .. _PYPI: https://pypi.python.org/pypi/pypianoroll
        .. _Github: https://github.com/salu133445/pypianoroll
        .. _here: https://salu133445.github.io/pypianoroll/
        
Keywords: music,audio,pianoroll,multitrack
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Topic :: Multimedia :: Sound/Audio
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python
Provides-Extra: plot
Provides-Extra: animation
Provides-Extra: pytest
