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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 an interactive widget


interactive is another set of widgets in the ipywidget library. They are specifically built to expect to call upon a handler when the value changes.

How to do it...

We can use this script:

def mycheckfunction(x):
    print(x)
    return x

interactive_checkbox = interactive(mycheckfunction, x=False)
interactive_checkbox

This results in this display:

Here, as we click on the checkbox, the value of the box changes and the corresponding value is printed in the display.

How it works...

The constructor for the interactive widget has the first argument as the name of the handler to use when the value changes. The second argument is the default value. In this case, we have a checkbox, so the value is False. It could be True as well.

When you click on the box the value changes, triggering a call to the handler. The handler prints out the current value of the box.

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