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Mastering Matplotlib 2.x

You're reading from   Mastering Matplotlib 2.x Effective Data Visualization techniques with Python

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Product type Paperback
Published in Nov 2018
Publisher Packt
ISBN-13 9781789617696
Length 214 pages
Edition 1st Edition
Languages
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Author (1):
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Benjamin Walter Keller Benjamin Walter Keller
Author Profile Icon Benjamin Walter Keller
Benjamin Walter Keller
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Toc

Interactive plots in the Jupyter Notebook

This section describes the installation and enabling of the ipywidgets module and how to use and customize the different widgets.

How to install and enable the ipywidgets module

Before getting started, we will have to install ipywidgets. We will use the pip install ipywidgets command to do this. After this has been successfully installed, we need to enable the extension within the Jupyter Notebook. To do that, use the jupyter nb extension enable - -py widgetsnbextension command, which will enable the widgets to interact with the Jupyter Notebook.

Begin as usual by importing and setting up the Matplotlib environment, including the ipywidgets module, the interactive, fixed, and interact_manual...

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