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  • License MIT

This is a simple jupyter widget for kepler.gl, an advanced geo-spatial visualization tool, to render large-scale interactive maps.

Package Exports

  • keplergl-jupyter
  • keplergl-jupyter/babel/index.js

This package does not declare an exports field, so the exports above have been automatically detected and optimized by JSPM instead. If any package subpath is missing, it is recommended to post an issue to the original package (keplergl-jupyter) to support the "exports" field. If that is not possible, create a JSPM override to customize the exports field for this package.

Readme

keplergl-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 keplergl
    (symlinks static/ 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

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.