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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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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 ipywidgets


ipywidgets is a set of widgets produced as part of the Jupyter project. As such, I would expect their use and number to increase with the project's popularity.

Getting ready

ipywidgets can also be installed with conda using:

conda install -c conda-forge ipywidgets

There are pip install commands available as well.

  • Using an ipywidget

I picked the radio button widget as an example.

How to do it...

We can use this code:

import ipywidgets as widgets

widgets.RadioButtons(
 options=['red', 'green', 'blue'],
 description='Balloon color:',
 disabled=False
)

This displays as:

How it works...

All of the individual widgets work the same:

  • Import the reference of the widget type you want to use
  • Instantiate the widget using its parameters
  • Optionally add handling to take a new value from the widget

In this example, we are using the Python convention of importing the entire library and calling it widgets. Then we use a specific widget type by referencing it via the dot notation. Each of the widget types...

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