Audiolize your data
A python package to represent data using musical notes.
pip install audiorepr
import pandas as pd from audiorepr import audiolize ecdc = "https://gist.githubusercontent.com/emptymalei/90869e811b4aa118a7d28a5944587a64/raw/1534670c8a3859ab3a6ae8e9ead6795248a3e664/ecdc%2520covid%252019%2520data" df = pd.read_csv(ecdc) audiolize.audiolizer(df, target="ecdc-covid19-by-date.midi", pitch_columns=["DE", "AT", "FR"])
- By default, we use a min-max mapper to map the data onto midi notes 16 to 96. You can easily write your own mapper or simply map your own data on to the range [0, 126].
- The specified pandas dataframe columns will be mapped onto different tracks.
audiolize.audiolizeralso accepts numpy array or list as data input.
Play the output midi file using the player of your choice.
Linux): a midi play in your terminal.
Mac): free software by Apple. GarageBand allows you to change tune the audio by changing the volumes, instruments, tempo, etc.
- Create a new environment:
conda create -n audiorepr python=3.7 pip
- Instal requirements:
pip install -r requirements
The documentation is generated through sphinx.
The generated documentation is located inside
To update the documentation, update the
.rst files in the
Publishing to PYPI service:
python setup.py sdist bdist_wheel
- Test upload:
python -m twine upload --repository testpypi dist/*
python -m twine upload dist/*
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Hashes for audiorepr-0.0.2-py3-none-any.whl