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Description:

parchordsjupyter 0.1.1

parchords-jupyter

jupyter widget with parallel coords that enables interactive sonification
Installation
You can install using pip:
pip install parchords_jupyter

If you are using Jupyter Notebook 5.2 or earlier, you may also need to enable
the nbextension:
jupyter nbextension enable --py [--sys-prefix|--user|--system] parchords_jupyter

Development Installation
Create a dev environment:
conda create -n parchords_jupyter-dev -c conda-forge nodejs python jupyterlab
conda activate parchords_jupyter-dev

or
python -m venv venv
source venv/Scripts/activate
python -m pip install -U pip setuptools
pip install 'jupyterlab>=3.6.5,<4' jupyter-packaging # nodejs

For a development installation the version of the python package jupyterlab
and the npm package @jupyterlab/builder need to match.
Install the python. This will also build the TS package.
pip install -e ".[test, examples]"

When developing your extensions, you need to manually enable your extensions with the
notebook / lab frontend. For lab, this is done by the command:
jupyter labextension develop --overwrite .
npm run build

For classic notebook, you need to run:
jupyter nbextension install --sys-prefix --symlink --overwrite --py parchords_jupyter
jupyter nbextension enable --sys-prefix --py parchords_jupyter

Note that the --symlink flag doesn't work on Windows, so you will here have to run
the install command every time that you rebuild your extension. For certain installations
you might also need another flag instead of --sys-prefix, but we won't cover the meaning
of those flags here.
How to see your changes
Typescript:
If you use JupyterLab to develop then you can watch the source directory and run JupyterLab at the same time in different
terminals to watch for changes in the extension's source and automatically rebuild the widget.
# Watch the source directory in one terminal, automatically rebuilding when needed
npm run watch
# Run JupyterLab in another terminal
jupyter lab

After a change wait for the build to finish and then refresh your browser and the changes should take effect.
Python:
If you make a change to the python code then you will need to restart the notebook kernel to have it take effect.
Updating the version
To update the version, install tbump and use it to bump the version.
By default it will also create a tag.
pip install tbump
tbump <new-version>