There are three steps before using pydeck:
- Install the library via pip or conda
- Get a Mapbox API token
- Enable pydeck for Jupyter Lab or Jupyter Notebook
Note: It is best practice to run this command in a virtual environment.
pip install pydeck
conda install -c conda-forge pydeck
To add basemap tiles, you must get a Mapbox API key, which you can do by registering for Mapbox via this link. You should then create a new public API token.
Mapbox tiles are free for a rather high level of usage. You can learn more about Mapbox tokens via their documentation.
If you set a MAPBOX_API_KEY
environment variable, pydeck will detect it. This way, you do not need to specify the Mapbox token in your source code.
Jupyter allows for more complex server/client interactions. You or your system administrator must enable pydeck for use in Jupyter. Binary data transportation, data selection, and updating data over time interactively only work if pydeck is enabled for use in a Jupyter environments.
To enable pydeck for Jupyter Notebook:
jupyter nbextension install --sys-prefix --symlink --overwrite --py pydeck
jupyter nbextension enable --sys-prefix --py pydeck
To enable pydeck for Jupyter Lab:
jupyter labextension install @jupyter-widgets/jupyterlab-manager
jupyter labextension install @deck.gl/jupyter-widget
Currently while you can install pydeck in Google Collab via pip, it is not enabled for server use there.
If you want to install the library from its source:
git clone https://github.com/uber/deck.gl
cd deck.gl/bindings/pydeck
make pre-init
. env/bin/activate
make init
make prepare-jupyter
You can run the local tests to verify that the installation worked via make test
.
Please note that if you are installing a pydeck prerelease, you may have to specify a specific version of @deck.gl/jupyter-widget
to install for JupyterLab. You can read this version from pydeck itself.
DECKGL_SEMVER=`python -c "import pydeck; print(pydeck.frontend_semver.DECKGL_SEMVER)"`
jupyter labextension install @deck.gl/jupyter-widget@$DECKGL_SEMVER