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Jupyter Cookbook

You're reading from   Jupyter Cookbook Over 75 recipes to perform interactive computing across Python, R, Scala, Spark, JavaScript, and more

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Product type Paperback
Published in Apr 2018
Publisher Packt
ISBN-13 9781788839440
Length 238 pages
Edition 1st Edition
Languages
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Author (1):
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Dan Toomey Dan Toomey
Author Profile Icon Dan Toomey
Dan Toomey
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Toc

Table of Contents (12) Chapters Close

Preface 1. Installation and Setting up the Environment FREE CHAPTER 2. Adding an Engine 3. Accessing and Retrieving Data 4. Visualizing Your Analytics 5. Working with Widgets 6. Jupyter Dashboards 7. Sharing Your Code 8. Multiuser Jupyter 9. Interacting with Big Data 10. Jupyter Security 11. Jupyter Labs

Using ipyleaflet widgets


ipyleaflet is described as a bridge for producing interactive maps in a Jupyter Notebook. This means we can put a map into a Notebook and allow the user to scroll around to a different point of view with this widget.

The documentation on the maps used is sparse. I have found a reasonable example in the following points. Finally, looking at the source code for the widget on GitHub, there are a few dozen maps visible that the widget knows about and which can be pulled in.

Getting ready

We can install the widget using a conda command:

conda install -c conda-forge ipyleaflet

ipyleaflets can be installed with pip as well.

Once completed, we can reference ipyleaflet in a Notebook.

How to do it...

We are using a detailed worldwide street map from Esri. The Notebook statements are:

from ipyleaflet import *
m = Map(zoom=4, basemap=basemaps.Esri.WorldStreetMap)
m
m.zoom

This generates the first image of the west coast of Africa. I navigated to the streets of Boston for the shot.

How...

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