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Learning Jupyter

You're reading from   Learning Jupyter Select, Share, Interact and Integrate with Jupyter Notebook

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Product type Paperback
Published in Nov 2016
Publisher Packt
ISBN-13 9781785884870
Length 238 pages
Edition 1st Edition
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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 (11) Chapters Close

Preface 1. Introduction to Jupyter FREE CHAPTER 2. Jupyter Python Scripting 3. Jupyter R Scripting 4. Jupyter Julia Scripting 5. Jupyter JavaScript Coding 6. Interactive Widgets 7. Sharing and Converting Jupyter Notebooks 8. Multiuser Jupyter Notebooks 9. Jupyter Scala 10. Jupyter and Big Data

Widgets


There is another package of widgets, called ipywidgets, that has all of the standard controls that you might want to use, with many optional parameters available to customize your display.

Progress bar widget

One of the widgets available in this package displays a progress bar to the user. Take the following script:

import ipywidgets as widgets
widgets.FloatProgress(
    value=45,
    min=0,
    max=100,
    step=5,
    description='Percent:',
)

This would display our progress bar as shown here:

Listbox widget

We could also use the list box widget, called as Dropdown, in this script:

import ipywidgets as widgets
from IPython.display import display
w = widgets.Dropdown(
    options={'Pen': 7732, 'Pencil': 102, 'Pad': 33331},
    description='Item:',
)
display(w)
w.value

This script will display a list box to the user with the displayed values of Pen, Pencil, and Pad. When the user selects one of the values, the associated value is returned to the w variable, which we display:

Text...

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