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gmaps

gmaps is a plugin for including interactive Google maps in the IPython Notebook.

Let's plot a heatmap of taxi pickups in San Francisco:

In [1]: import gmaps 
        import gmaps.datasets

# load a Numpy array of (latitude, longitude) pairs
In [2]: data = gmaps.datasets.load_dataset('taxi_rides')

In [3]: m = gmaps.Map()
        m.add_layer(gmaps.Heatmap(data=data))
        m

image

Installation

Dependencies

The current version of gmaps is only tested with IPython 4.2 or later and ipywidgets 5.1.3 or later. To upgrade to the latest versions, use:

$ pip install -U jupyter

Make sure that you have enabled widgets extensions to Jupyter:

$ jupyter nbextension enable --py --sys-prefix widgetsnbextension

Installing gmaps

Install the Python component using:

$ pip install gmaps

Then tell Jupyter to load the extension with:

$ jupyter nbextension enable --py gmaps

Development version

You must have NPM to install the development version. You can install NPM with your package manager.

You must also install gmaps in a virtual environment (or, at least, you must be able to run pip without root access).

Clone the git repository by running:

$ git clone https://github.com/pbugnion/gmaps.git

Change to the project's root directory and run:

$ pip install -e .

This will create a directory called static/ in the gmaps/ directory. This directory contains Javascript sources. Every time you change the Javascript sources, you will need to recompile this directory by re-running this command (despite everying being installed in editable mode).

You can then enable the extension in Jupyter:

$ jupyter nbextension install --py --symlink --user gmaps
$ jupyter nbextension enable --py --user gmaps

Documentation

Documentation for gmaps is available here.

Similar libraries

The current version of this library is inspired by the ipyleaflet notebook widget extension. This extension aims to provide much of the same functionality as gmaps, but for leaflet maps, not Google maps.

Issue reporting and contributing

Report issues using the github issue tracker.

Contributions are welcome. Read the CONTRIBUTING guide to learn how to contribute.

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Google maps for the IPython notebook.

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  • Python 63.1%
  • JavaScript 36.9%