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Matplotlib for Python Developers
Matplotlib for Python Developers

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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Profile Icon Sandro Tosi
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₱1873.79 ₱2081.99
Full star icon Full star icon Full star icon Half star icon Empty star icon 3.2 (23 Ratings)
eBook Nov 2009 308 pages 1st Edition
eBook
₱1873.79 ₱2081.99
Paperback
₱2602.99
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Free Trial
Arrow left icon
Profile Icon Sandro Tosi
Arrow right icon
₱1873.79 ₱2081.99
Full star icon Full star icon Full star icon Half star icon Empty star icon 3.2 (23 Ratings)
eBook Nov 2009 308 pages 1st Edition
eBook
₱1873.79 ₱2081.99
Paperback
₱2602.99
Subscription
Free Trial
eBook
₱1873.79 ₱2081.99
Paperback
₱2602.99
Subscription
Free Trial

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Matplotlib for Python Developers

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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.

Who is this book for?

This book is essentially for Python developers who have a good knowledge of Python; no knowledge of Matplotlib is required. You will be creating 2D plots using Matplotlib in no time at all.

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

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Nov 09, 2009
Length: 308 pages
Edition : 1st
Language : English
ISBN-13 : 9781847197917
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Product Details

Publication date : Nov 09, 2009
Length: 308 pages
Edition : 1st
Language : English
ISBN-13 : 9781847197917
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Tools :

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Frequently bought together


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Table of Contents

9 Chapters
Introduction to Matplotlib Chevron down icon Chevron up icon
Getting Started with Matplotlib Chevron down icon Chevron up icon
Decorate Graphs with Plot Styles and Types Chevron down icon Chevron up icon
Advanced Matplotlib Chevron down icon Chevron up icon
Embedding Matplotlib in GTK+ Chevron down icon Chevron up icon
Embedding Matplotlib in Qt 4 Chevron down icon Chevron up icon
Embedding Matplotlib in wxWidgets Chevron down icon Chevron up icon
Matplotlib for the Web Chevron down icon Chevron up icon
Matplotlib in the Real World Chevron down icon Chevron up icon

Customer reviews

Top Reviews
Rating distribution
Full star icon Full star icon Full star icon Half star icon Empty star icon 3.2
(23 Ratings)
5 star 21.7%
4 star 26.1%
3 star 17.4%
2 star 21.7%
1 star 13%
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John W. Shipman Mar 20, 2012
Full star icon Full star icon Full star icon Full star icon Full star icon 5
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 Amazon
Haokoze Jan 09, 2018
Full star icon Full star icon Full star icon Full star icon Full star icon 5
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。
Amazon Verified review Amazon
Bode Omoboya Jan 10, 2013
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Really enjoyed this and it was very helpful!I will recommend to any upcoming Python developer, especially for students in research development!
Amazon Verified review Amazon
christopher j. parrish Sep 27, 2017
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Very helpful for my project
Amazon Verified review Amazon
david t. Pitts Jan 29, 2014
Full star icon Full star icon Full star icon Full star icon Full star icon 5
I am into this language because of the 3D plotting abilities. I think that this will allow me to do some fantastic figures.
Amazon Verified review Amazon
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