Interactive Applications Using Matplotlib

by Benjamin V. Root (Author)

6 ratings

ISBN-13: 978-1783988846

ISBN-10: 1783988843

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Don't just see your data, experience it!

About This Book

Bring your users and your data closer with interactive visualizations using Matplotlib and Python
Create user interfaces from scratch without needing a GUI toolkit, or insert new visualizations into your existing applications
Pick up interactive aspects of Matplotlib and learn how widgets can be used to interact visually with data

Who This Book Is For

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.

What You Will Learn

Add keymaps, mouse button actions, and custom events to your application
Build and record animations of your plots
Enhance your data display with buttons,sliders, and other widgets
Insert Matplotlib figures into any GUI application
Create a session recorder for your application
Learn about Matplotlib's event handler to add custom events
See Matplotlib as more than just a plotting library

In Detail

Matplotlib makes it easy to generate plots, histograms, power spectra, bar charts, error charts, and other kinds of plots, with just a few lines of code.

Interactive Applications Using Matplotlib will teach you how to turn your plots into fully interactive applications for data exploration and information synthesis. After being introduced to the plotting library, you'll learn how to create simple figures and come to grips with how they work. After these first steps, we will start work on a weather radar application.

Next, you will learn about Matplotlib's event handler to add not only keymaps and mouse actions but also custom events, enabling our radar application to transition from a simple visualization tool into a useful severe storm tracking application, complete with animations and widgets. The book will conclude with enhancements from the GUI toolkit of your choice.

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Product details

Publisher ‏ : ‎ Packt Publishing (March 24, 2015)
Language ‏ : ‎ English
Paperback ‏ : ‎ 174 pages
ISBN-10 ‏ : ‎ 1783988843
ISBN-13 ‏ : ‎ 978-1783988846
Item Weight ‏ : ‎ 10.9 ounces
Dimensions ‏ : ‎ 7.5 x 0.4 x 9.25 inches

Best Sellers Rank: #963,886 in Books (See Top 100 in Books)
- #635 in Data Modeling & Design (Books)
- #645 in Computer Graphics
- #847 in Graphics & Multimedia Programming

Customer Reviews:
6 ratings

Customer reviews

5 star		37%
4 star		23%
3 star		19%
2 star 0% (0%)		0%
1 star		22%

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Sanjay Mishra

Cuts through the noise

Reviewed in the United States on December 30, 2019

Verified Purchase

If you need to quickly produce graphs and charts and explore data, this is the book for you.

You could possibly get the same information from user manuals, blog posts and such like given enough time, but this book makes it easy to grasp the information and be quickly productive.

Helpful

Phu ta

It's alright for beginners, who's interested in making weather apps

Reviewed in the United States on February 18, 2016

Verified Purchase

I think the overall content is okay, good for beginners who want to learned to develop interactive Python app. Keep in mind that specifically builds up a weather application in Matplotlib. So depend on your interest, it may or may not be helpful.

One person found this helpful

Helpful

Juan Nunez-Iglesias

Great way to get started with GUI programming

Reviewed in the United States on April 3, 2018

I highly recommend Ben's book. I fumbled around for a long time with minor interactive matplotlib features. Then I read his book and it completely clarified my mental model of mpl interactivity and, indeed, of GUIs in general.

Here's an excerpt that describes my story quite well:

"""
Indeed, given that the primary audience for Matplotlib is scientific programmers for whom GUIs are, at best, an afterthought, Matplotlib provides a gradual curve to create full-fledged GUI applications. For simple GUI tasks, one can go quite far with Matplotlib without ever having to adopt a GUI platform. And, as we will see in the next chapter, taking those final steps into a GUI application would not require getting rid of any existing code.
"""

If you're a scientist looking to add a bit of interactivity to your data, or to move from a purely command-line interface to providing some graphical interactivity and control, this is a fantastic book to start with. Even if you end up using some newer frameworks such as Bokeh, the ideas in this book about GUI loops and callbacks will be useful forever.

Helpful

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Philip H

Worst book I have ever read

Reviewed in the United Kingdom on September 15, 2018

Verified Purchase

A few pages on plotting; the rest of the book is junk. I would ask for my money back if I could!

Dr. Andrew G. Meigs

Five Stars

Reviewed in the United Kingdom on February 4, 2016

Verified Purchase

Good book, but a bit short. Nice tidbits throughout.

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Interactive Applications Using Matplotlib

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About This Book

Who This Book Is For

What You Will Learn

In Detail

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