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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)
Buy this Book

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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Preface
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Preface
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What this book covers
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What you need for this book
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Who this book is for
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Conventions
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Reader feedback
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Customer support
Free Chapter
1
1. Introducing Interactive Plotting
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1. Introducing Interactive Plotting
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Installing Matplotlib
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Show() your work
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Interactive navigation
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Interactive plotting
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Scripted plotting
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Getting help
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From front to backend
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The Matplotlib figure-artist hierarchy
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Summary
2
2. Using Events and Callbacks
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2. Using Events and Callbacks
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Making the connection
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The big event
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Breaking up is the easiest thing to do
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Keymapping
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Picking
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Data editing
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User events
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Editor events
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Summary
3
3. Animations
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3. Animations
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A short history
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The fastest draw in the west
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The animation module
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Advanced animations
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Saving animations
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Summary
4
4. Widgets
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4. Widgets
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Built-in widgets
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Third-party tools
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Summary
5
5. Embedding Matplotlib
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5. Embedding Matplotlib
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The revelation
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Through a glass, darkly
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Bars, menus, and sliders – four ways
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Matplotlib in your app
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Summary
6
Index
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Index

Chapter 3. Animations

 

Animation can explain whatever the mind of man can conceive

 
 --Walt Disney

More so than a static plot, an animation is innately interactive. It is much closer to how we take in the physical world, and therefore our minds can often assimilate its message in more meaningful ways. Another advantage of an animation is that it provides a convenient third dimension in which to display your data. So, rather than trying to cram all of your information into a single static plot you can spread out your data along this orthogonal axis, thereby reducing clutter. To put it another way, if a picture is worth a thousand words, then how many words must a whole movie of pictures be worth?

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