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You're reading from  Learning Jupyter

Product typeBook
Published inNov 2016
Reading LevelIntermediate
PublisherPackt
ISBN-139781785884870
Edition1st Edition
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Author (1)
Dan Toomey
Dan Toomey
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Dan Toomey

Dan Toomey has been developing application software for over 20 years. He has worked in a variety of industries and companies, in roles from sole contributor to VP/CTO-level. For the last few years, he has been contracting for companies in the eastern Massachusetts area. Dan has been contracting under Dan Toomey Software Corp. Dan has also written R for Data Science, Jupyter for Data Sciences, and the Jupyter Cookbook, all with Packt.
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Interactive widget


There is also an interactive widget. The interactive widget works like the interact widget, but does not display the user input control until called upon directly by the script. This would be useful if you had some calculations that had to be performed for the parameters of the widget display, or even if you wanted to decide whether you needed a control at runtime.

For example, we could have the following script (similar to the preceding script):

from ipywidgets import interactive
def myfunction(x):
    return x
w = interactive(myfunction, x= "Hello World ");
from IPython.display import display
display(w)

There are a couple of changes to the script:

  • We are referencing the interactive widget

  • The interactive function returns a widget, rather than immediately displaying a value

  • We must script the display of the widget ourselves

If we run this script, it looks very similar to the result of the previous script:

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Learning Jupyter
Published in: Nov 2016Publisher: PacktISBN-13: 9781785884870

Author (1)

author image
Dan Toomey

Dan Toomey has been developing application software for over 20 years. He has worked in a variety of industries and companies, in roles from sole contributor to VP/CTO-level. For the last few years, he has been contracting for companies in the eastern Massachusetts area. Dan has been contracting under Dan Toomey Software Corp. Dan has also written R for Data Science, Jupyter for Data Sciences, and the Jupyter Cookbook, all with Packt.
Read more about Dan Toomey