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Key benefits

Create high quality 2D plots by using Matplotlib productively

Incremental introduction to Matplotlib, from the ground up to advanced levels

Embed Matplotlib in GTK+, Qt, and wxWidgets applications as well as web sites to utilize them in Python applications

Deploy Matplotlib in web applications and expose it on the Web using popular web frameworks such as Pylons and Django

Get to grips with hands-on code and complete realistic case study examples along with highly informative plot screenshots

Description

Providing appealing plots and graphs is an essential part of various fields such as scientific research, data analysis, and so on. Matplotlib, the Python 2D plotting library, is used to produce publication-quality figures in a variety of hardcopy formats and interactive environments across platforms. This book explains creating various plots, histograms, power spectra, bar charts, error charts, scatter-plots and much more using the powerful Matplotlib library to get impressive out-of-the-box results. This book gives you a comprehensive tour of the key features of the Matplotlib Python 2D plotting library, right from the simplest concepts to the most advanced topics. You will discover how easy it is to produce professional-quality plots when you have this book to hand. The book introduces the library in steps. First come the basics: introducing what the library is, its important prerequisites (and terminology), installing and configuring Matplotlib, and going through simple plots such as lines, grids, axes, and charts. Then we start with some introductory examples, and move ahead by discussing the various programming styles that Matplotlib allows, and several key features. Further, the book presents an important section on embedding applications. You will be introduced to three of the best known GUI libraries 'GTK+, Qt, and wxWidgets' and presented with the steps to implement to include Matplotlib in an application written using each of them. You will learn through an incremental approach: from a simple example that presents the peculiarities of the GUI library, to more complex ones, using GUI designer tools. Because the Web permeates all of our activities, a part of the book is dedicated to showing how Matplotlib can be used in a web environment, and another section focuses on using Matplotlib with common Python web frameworks, namely, Pylons and Django. Last, but not least, you will go through real-world examples, where you will see some real situations in which you can use Matplotlib.

What you will learn

Exploit the interactive computing environment of IPython to its fullest in collaboration with Matplotlib

Learn line and point styles and master their customization, customization of axis ticks, and develop several plot types available in Matplotlib, such as histograms, bars, pie charts, polar charts, and so on

Explore Object Oriented Matplotlib and learn how to add subplots, multiple figures, additional and shared axes, logarithmic scaled axes, data plotting with tick formatting and locators, text properties, fonts, LaTeX typewriting, and contour plots

Get comfortable with Gladeóa RAD toolóto quickly design a GUI for GTK+ and embed Matplotlib into it

Make the most of Matplotlib within the wxWidgets framework, in particular using the wxPython bindings and design a GUI with wxGlade

Use the Qt Designer to draw a simple GUI and refer it to your Python code to fit your needs

Expose Matplotlib on the Web using CGI (through Apache mod_cgi), mod_python, Django, and Pylons in no time at all

Profit from the real-world examples by simply following the streamóidentify the data source, elaborate the data and generate the resulting plot

What do you get with Print?

Instant access to your digital copy whilst your Print order is Shipped

Paperback book shipped to your preferred address

Redeem a companion digital copy on all Print orders

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Frequently bought together

S$68.99

Interactive Applications using Matplotlib

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Total S$ 180.97

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Amazon verified reviews

John W. Shipman Mar 20, 2012

I've been teaching Python classes here at New Mexico Tech for15 years. Until now, all I could do in the Matplotlib unit isthrow some small examples at the students and then point themat the 800 pages of reference documentation and say "Here isdocumentation for the 10,000 tiny pieces of Matplotlib. Goodluck figuring out how to assemble them."Tosi's book is exactly what Matplotlib has needed for so long: aproper tutorial. He starts with the absolute basics: plot Yagainst X; add a title; add axis labels; plot two functions ofthe same variable; and so on, a progression that eases the newuser first into the features that most people will use.The writing is clear, and the examples constructed and explainedwell, with a nice balance of theory and practice.In particular I appreciate the shift in chapter 4 to a morePythonic, object-oriented approach. The author places Pylab inits proper context (great for playing around) but I agree thatfor serious production applications and modular design the objectapproach is the way to go.The only extremely minor quibbles I have are with the editing.None of the editorial crew seem to be native English speakers.Take for example the highly useful diagram on page 59, "Plottypes". This diagram helps you figure out what kind of plotfills your needs. However, the title is "Chart Suggestions -- ATought-Starter [sic]"; that should be "Thought-Starter". On thesame diagram, there are two references to "Tree Variables" thatprobably should be "Three variables".However, don't let that put you off. This is just the right bookfor people starting out. I found very few typos, and none ofthem reduced the book's usefulness.

Amazon Verified review

Haokoze Jan 09, 2018

シリアル通信を利用して、PICマイコンやArduinoからデータを読み取り、記録・表示するデータロガーを作ろうと奮闘してました。この本の後半はPyQt、Tkinter、WxPythonのGUIにMatplotlibのFigureを貼り付ける方法が具体的に書いてあり、とても参考になりました。この本だけで、Matplotlibの機能をすべて使いこなせる様になるわけではないでしょうが、私の場合はとても参考になったので星５にしました。英語ですが、中学生レベルの私でも読めます。オシロみたいなリアルタイムグラフ描画もQt上でできて、ちょっと自画自賛してます。

Bode Omoboya Jan 10, 2013

Really enjoyed this and it was very helpful!I will recommend to any upcoming Python developer, especially for students in research development!

christopher j. parrish Sep 27, 2017

Very helpful for my project

david t. Pitts Jan 29, 2014

I am into this language because of the 3D plotting abilities. I think that this will allow me to do some fantastic figures.

Matplotlib for Python Developers: Python developers who want to learn Matplotlib need look no further. This book covers it all with a practical approach including lots of code and images. Take this chance to learn 2D plotting through real-world examples.

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