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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


With this chapter, we reached the culmination of our adventure through the advanced topics in the world of matplotlib. Many of the topics covered in the latter half of this book crossed into other domains, as is often the case with the advanced usage of any software. These topics explored systems that did not have a direct and obvious connection with the narrow scope of matplotlib as a library. Rather, they reflected the usage patterns that are requested of software engineers working on real-world problems.

This bears further reflection. Often, computing problems in both research settings and start-ups are initially tackled quickly to get the results and examine the data as soon as possible. The next round of usage might require the addition of a bit more functionality or some other code tweaks. After a few months, you may be in any of the following situations:

  • You may end up with one or two functions of enormous size with no obvious or clear path towards something that would be more...

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