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A Jupyter widget for dynamic Leaflet maps

pip install ipyleaflet

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Requires Python

>=3.8

ipyleaflet

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A Jupyter / Leaflet bridge enabling interactive maps in the Jupyter notebook.

Usage

Selecting a basemap for a leaflet map:

Basemap Screencast

Loading a geojson map:

GeoJSON Screencast

Making use of leafletjs primitives:

Primitives Screencast

Using the splitmap control:

Splitmap Screencast

Displaying velocity data on the top of a map:

Velocity Screencast

Choropleth layer:

Choropleth Screencast

Widget control

Widget Control

Installation

Using conda:

conda install -c conda-forge ipyleaflet

Using pip:

pip install ipyleaflet

Installation from sources

For a development installation (requires yarn, you can install it with conda install -c conda-forge yarn):

git clone https://github.com/jupyter-widgets/ipyleaflet.git
cd ipyleaflet
(cd python/jupyter_leaflet; pip install -e .)
(cd python/ipyleaflet; pip install -e .)

For developing with JupyterLab:

jupyter labextension develop --overwrite jupyter_leaflet

Documentation

To get started with using ipyleaflet, check out the full documentation

https://ipyleaflet.readthedocs.io/

License

We use a shared copyright model that enables all contributors to maintain the copyright on their contributions.

This software is licensed under the MIT license. See the LICENSE file for details.

Related projects

The ipyleaflet repository includes the jupyter-leaflet npm package, which is a front-end component, and the ipyleaflet python package which is the backend for the Python Jupyter kernel.

Similarly, the xleaflet project provides a backend to jupyter-leaflet for the "xeus-cling" C++ Jupyter kernel.

Xleaflet Screencast