This is a simple jupyter widget for kepler.gl, an advanced geospatial visualization tool, to render large-scale interactive maps.
Prerequisites
More links
To develop this package against the classic notebook, run:
-
pip install -e .
(installs python package for development, runsnpm install
andnpm run build
) -
jupyter nbextension install --py --symlink --sys-prefix keplergl
(symlinksstatic/
directory into<jupyter path>/nbextensions/keplergl/
). Now the notebook has access to the frontend code. -
jupyter nbextension enable --py --sys-prefix keplergl
(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
To develop this package against JupyterLab, run:
-
pip install -e .
(installs python package for development, runsnpm install
andnpm 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 inyarn.lock
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
.