Pypianoroll is an open source Python library for working with piano rolls. It provides essential tools for handling multitrack piano rolls, including efficient I/O as well as manipulation, visualization and evaluation tools.
- Manipulate multitrack piano rolls intuitively
- Visualize multitrack piano rolls beautifully
- Save and load multitrack piano rolls in a space-efficient format
- Parse MIDI files into multitrack piano rolls
- Write multitrack piano rolls into MIDI files
Our aim is to provide convenient classes for piano-roll matrix and MIDI-like track information (program number, track name, drum track indicator). Pypianoroll is also designed to provide efficient I/O for piano rolls, since piano rolls have long been considered an inefficient way to store music data due to the sparse nature.
To install Pypianoroll, please run pip install pypianoroll
. To build Pypianoroll from source, please download the source and run python setup.py install
.
Documentation is available here and as docstrings with the code.
Please cite the following paper if you use the code provided in this repository.
Hao-Wen Dong, Wen-Yi Hsiao, and Yi-Hsuan Yang, "Pypianoroll: Open Source Python Package for Handling Multitrack Pianorolls," in Late-Breaking Demos of the 19th International Society for Music Information Retrieval Conference (ISMIR), 2018.
[homepage]
[paper]
[poster]
[code]
[documentation]
Lakh Pianoroll Dataset (LPD) is a new multitrack piano roll dataset using Pypianoroll for efficient data I/O and to save space, which is used as the training dataset in our MuseGAN project.