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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

Linking widgets together


We saw individual widget use earlier. We will now link widgets in the following examples.

How to do it...

We can link together two widgets using code like this:

import ipywidgets as widgets

floatTextBox = widgets.FloatText()
floatSlider = widgets.FloatSlider()
display(floatTextBox,floatSlider)

widgetLink = widgets.jslink((floatTextBox, 'value'), (floatSlider, 'value'))

It produces a display of both widgets linked together. If you move the slider, then the textbox value will be updated and vice versa:

How it works...

We can link two widgets together using a call to widgets.jslink. Whenever one widget changes (in an attribute such as value), we can have another widget take that new value for itself and re-display it.

The key to this feature is the js in the method signature. Under the hood, we are using javascript event processing based on changes to the value of the objects. Of course, the actual display of the text value and moving the slider control is part of ipywidgets...

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