IPython/Jupyter notebook module for Vega 5, and Vega-Lite 3. Notebooks with embedded visualizations can be viewed on GitHub and nbviewer. If you use JupyterLab (not the notebook), you don't need to install this extension since JupyterLab comes with built-in support for Vega and Vega-Lite.
Available on pypi and Conda Forge as vega
.
To install vega
and its dependencies from the Python Package Index using
pip
, use the following commands:
pip install jupyter pandas vega
pip install --upgrade notebook # need jupyter_client >= 4.2 for sys-prefix below
jupyter nbextension install --sys-prefix --py vega # not needed in notebook >= 5.3
If you use conda, you probably already have the latest versions of the notebook and pandas installed. To install vega
extension run:
conda install vega
To install from source, make sure you have jupyter
and pandas
installed,
then download this repository and run
python setup.py install
Once the package is installed, run
jupyter notebook
to launch the Jupyter notebook server, and use vega
within the notebook.
See the example notebooks for Vega-Lite and Vega.
To run the notebooks yourself, you need to get the file cars.json
.
Install requirements: pip install -r requirements.txt
Symlink files instead of copying files:
python setup.py develop
jupyter nbextension install --py --symlink vega # not needed in notebook >= 5.3
Run kernel: jupyter notebook
To rebuild the javascript continuously, run yarn watch
.
Publish a new version to pypi with python3 setup.py sdist upload
.
- Update the javascript dependendencies by changing
package.json
(e.g. with ncu) - Run
yarn
- Rebuild the javascript with
yarn build
- Make sure that everything still works (launch notebook and try the examples)
- Update the version number in
package.json
and__index__.py
and add a git tag git push
- Run
python setup.py sdist upload
to update https://pypi.python.org/pypi/vega