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  • Book Overview & Buying Interactive Applications using Matplotlib
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Interactive Applications using Matplotlib

Interactive Applications using Matplotlib

3.3 (6)
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Interactive Applications using Matplotlib

Interactive Applications using Matplotlib

3.3 (6)

Overview of this book

This book is intended for Python programmers who want to do more than just see their data. Experience with GUI toolkits is not required, so this book can be an excellent complement to other GUI programming resources.
Table of Contents (7 chapters)
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The big event


What is the purpose of interactive plotting? Why is it important for Matplotlib to provide this feature? It is important because you want to interact with your data. What you plot in the figure is a visual representation of your data, and giving it interactivity brings that data an extra step closer to the real world by providing your users the means to interact with that data in a more physically intuitive manner. It is all about data exploration.

So far, for our project, we have only developed the means to display our storm and radar data. While we could simply use these viewers and then manually edit the associated shapefile, it would not be practical. We should be able to provide users the means to interrogate their data. To do this, we will use pick_event to add the ability to select and deselect some tracks. As a simple example, we will make a track thicker when it is selected and make it thinner when it is deselected (or simply, selected again). Let's build upon the track...

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Interactive Applications using Matplotlib
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