kperlgl-jupyter
This is a simple jupyter widget for kepler.gl, an advanced geospatial visualization tool, to render large-scale interactive maps.
Package Install
Prerequisites
More links
Local Dev
Local Dev Installation for Classic Notebook
To develop this package against the classic notebook, run:
pip install -e .
(installs python package for development, runs npm install
and npm run build
)jupyter nbextension install --py --symlink --sys-prefix <python_package_name>
(symlinks static/
directory into <jupyter path>/nbextensions/<extension_name>/
). Now the notebook has access to the frontend code.jupyter nbextension enable --py --sys-prefix <python_package_name>
(copies <npm_package_name>.json
into <environment path>/etc/jupyter/nbconfig/notebook.d/
directory). Now the notebook will load your frontend code on page load.
Now make some changes to your source code. Then:
- After making Python code changes, restarting the notebook kernel will be enough to reflect changes
- After making JavaScript code changes:
cd js
npm run build
- Refresh browser to reflect changes
Local Dev Installation for JupyterLab
To develop this package against JupyterLab, run:
pip install -e .
(installs python package for development, runs npm install
and npm run build
)jupyter labextension install @jupyter-widgets/jupyterlab-manager
: this install lab widgets manager.jupyter labextension install js
: this installs the current labextension into JupyterLab and enables it.jupyter lab --watch
starts JupyterLab, but in --watch
mode: it will rebuild itself incrementally if it detects changes.
Now make some changes to your source code. Then:
-
After making Python code changes, restarting the notebook kernel will be enough to reflect changes
-
After making JavaScript code changes:
cd js
npm run build:lab
- Refresh browser to reflect changes
-
By default, the application will load from the JupyterLab staging directory (default is /share/jupyter/lab/staging. Check the correct version of @jupyter-widgets/jupyterlab-manager
and @jupyter-widgets/base
is install in yarn.lock
JupyterLab widget Dependencies
Install correct version of jupyterlab-manager based on your Jupyter Lab version. Make sure @jupyter-widgets/base
version in the widget does not conflict with requirements in jupyterlab-manager
.