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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 a widget container


A container is usually a box that groups controls/widgets together. You can imagine if you had a large form with many widgets; it would make it easier for the user if widgets are grouped into different containers like items.

How to do it...

We can use this script:

from ipywidgets import *
from IPython.display import display

slider = widgets.FloatSlider() 
message = widgets.Text(value='Hello World')

container = widgets.Box(children=[slider, message])
container.layout.border = '1px black solid'

display(container)

This results in a display:

The container box instantiates like other widgets. The difference is that we pass in the list of contained widgets in its constructor. Once constructed, we can add different adornments, such as a border. Then, like other graphical elements, we display the container, which automatically draws its contained widgets as well.

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