A python interface for generating drum sheet music through code
Project description
What is it?
PyDrumScore is a Python library for generating drum sheet music through code. It aims to provide a lean interface, relying on core Python features and data types. This allows the user to programatically bypass the relative complexity of modern scoring softwares, whose features often go beyond the scope of what is needed to create drum sheet music.
How does it work?
Two things are needed for the score generator:
- The score metadata, such as its title, its author, or the year it was created.
- A list of measures that represent the music being played.
The user's sole responsability is to fill these objects inside a python file. See here a complete example for a classic drum beat.
""" basic_beat.py """
# Import pydrumscore
import pydrumscore as pds
# Enter relevant metadata
metadata = pds.Metadata(
workTitle = "BasicBeat"
)
# Measures of the song; fill this!
measures = []
# Add a measure
measures += pds.Measure(
bd = [1, 3], # Bass drum on 1 and 3
sd = [2, 4], # Snare on 2 and 4
hh = pds.note_range(1, pds.end(), 1/2) # Hi-hat from 1 to measure end,
# each lasting half a beat
)
Afterwards, simply call the exporter with:
pydrumscore basic_beat
The song module will be imported, and the contents of the metadata
and measures
objects will be converted to an uncompressed MuseScore file under the title BasicBeat.mscx. That's it! You can now open this file in MuseScore, from which you can review the results and export to a PDF file. Support for the MusicXML format is planned.
Installation
Using pip (recommended)
PyDrumScore is distributed as a pure Python package, in the form of a wheel distribution hosted on PyPI.
It can thus be downloaded with pip
, by simply executing in your Python environment:
pip install pydrumscore
This will install PyDrumScore and all its dependencies in your active Python environment. Note that it is good practice to use virtual environments when installing packages; see this guide for a good primer on the concept.
Manual install
It is possible to download the package content by hand through the project page. The .whl distribution, which is a zip file, can then be uncompressed and added to the environment. Note, however, that this does not handle the package dependencies like pip
would; you will need to install them individually in your environment as well.
MuseScore plugin
The PyDrumScore package also contains a plugin for MuseScore to refresh modified files with a single button. This allows for a proper workflow for using MuseScore as a viewer to PyDrumScore. To set it up, see the tutorial on MuseScore's page. Make sure the plugin is added to your MuseScore plugins folder, and that it is enabled and has a shortcut.
Tutorials and examples
See the test folder for examples of fully transcribed songs. Stay tuned for upcoming video tutorials as well.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file pydrumscore-0.0.6.tar.gz
.
File metadata
- Download URL: pydrumscore-0.0.6.tar.gz
- Upload date:
- Size: 617.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.16
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 8df5ce5709d7b5315b4f659043c0ff09d649fd171ebd05103209bfdc9c8924e9 |
|
MD5 | dd91af4e87b375c01f4970e04e44384a |
|
BLAKE2b-256 | b765b07b4e7f40dc20227febddb48522d0c1f75d3e9cebf7e42d9c604b164ebd |
File details
Details for the file pydrumscore-0.0.6-py3-none-any.whl
.
File metadata
- Download URL: pydrumscore-0.0.6-py3-none-any.whl
- Upload date:
- Size: 96.6 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.16
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 28f5f165db2a6357b0310ce19f54380babab414d654f2c6cc2e16ccfe9befb39 |
|
MD5 | 3fae3f89b8b707ee0646440e0482cd16 |
|
BLAKE2b-256 | 9b2a05f089e0b7632c274f6696956b43e3467182b16e6ed8062b8f51d0793b4e |