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Mastering Matplotlib

Mastering Matplotlib

By : Duncan M. McGreggor, Duncan M McGreggor
3.5 (8)
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Mastering Matplotlib

Mastering Matplotlib

3.5 (8)
By: Duncan M. McGreggor, Duncan M McGreggor

Overview of this book

If you are a scientist, programmer, software engineer, or student who has working knowledge of matplotlib and now want to extend your usage of matplotlib to plot complex graphs and charts and handle large datasets, then this book is for you.
Table of Contents (11 chapters)
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10
Index

Summary

In this chapter, we covered details on event systems, event loops, and how these relate to matplotlib. We also covered details on event types in matplotlib and ways to employ them to build interactive plots

The first area comprised of the background, which helped us appreciate the inner workings of matplotlib's event system. It also armed us with the knowledge that avoids confusion between the GUI toolkit event loops that matplotlib ties to and the matplotlib event loops that power the ability of the canvas to respond to the events on plots.

There are even more examples of plot interaction in the notebook for this chapter. So, be sure to check out the repository for extra goodies.

In the next chapter, we will take a new direction. Instead of low-level internals, we will focus on high-level operations and data analysis.

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