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.

Matplotlib for Python Developers

Starting
Sandro Tosi

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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Book Details

ISBN 139781847197900
Paperback308 pages

About This Book

  • 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

Who This Book Is 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.

Table of Contents

Chapter 1: Introduction to Matplotlib
Merits of Matplotlib
Matplotlib web sites and online documentation
Output formats and backends
About dependencies
Installing Matplotlib
Summary
Chapter 2: Getting Started with Matplotlib
First plots with Matplotlib
Multiline plots
Grid, axes, and labels
Titles and legends
A complete example
Saving plots to a file
Interactive navigation toolbar
IPython support
Configuring Matplotlib
Summary
Chapter 3: Decorate Graphs with Plot Styles and Types
Markers and line styles
Handling X and Y ticks
Plot types
Polar charts
Text inside figure, annotations, and arrows
Summary
Chapter 4: Advanced Matplotlib
Object-oriented versus MATLAB styles
Subplots
Plotting dates
Text properties, fonts, and LaTeX
Contour plots and image plotting
Summary
Chapter 5: Embedding Matplotlib in GTK+
A brief introduction to GTK+
Embedding a Matplotlib figure in a GTK+ window
Real-time plots update
Embedding Matplotlib in a Glade application
Summary
Chapter 6: Embedding Matplotlib in Qt 4
Brief introduction to Qt 4 and PyQt4
Embedding a Matplotlib figure in a Qt window
Real-time update of a Matplotlib graph
Embedding Matplotlib in a GUI made with Qt Designer
Summary
Chapter 7: Embedding Matplotlib in wxWidgets
Brief introduction to wxWidgets and wxPython
Embedding a Matplotlib figure in a wxFrame
Real-time plots update
Embedding Matplotlib in a GUI made with wxGlade
Summary
Chapter 8: Matplotlib for the Web
Matplotlib and CGI
Matplotlib and mod_python
Web Frameworks and MVC
Matplotlib and Django
Matplotlib and Pylons
Summary
Chapter 9: Matplotlib in the Real World
Plotting data from a database
Plotting data from the Web
Plotting data by parsing an Apache log file
Plotting data from a CSV file
Plotting extrapolated data using curve fitting
Tools using Matplotlib
Plotting geographical data
Summary

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 Glade—a RAD tool—to 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 stream—identify the data source, elaborate the data and generate the resulting plot

In Detail

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.

Authors

Table of Contents

Chapter 1: Introduction to Matplotlib
Merits of Matplotlib
Matplotlib web sites and online documentation
Output formats and backends
About dependencies
Installing Matplotlib
Summary
Chapter 2: Getting Started with Matplotlib
First plots with Matplotlib
Multiline plots
Grid, axes, and labels
Titles and legends
A complete example
Saving plots to a file
Interactive navigation toolbar
IPython support
Configuring Matplotlib
Summary
Chapter 3: Decorate Graphs with Plot Styles and Types
Markers and line styles
Handling X and Y ticks
Plot types
Polar charts
Text inside figure, annotations, and arrows
Summary
Chapter 4: Advanced Matplotlib
Object-oriented versus MATLAB styles
Subplots
Plotting dates
Text properties, fonts, and LaTeX
Contour plots and image plotting
Summary
Chapter 5: Embedding Matplotlib in GTK+
A brief introduction to GTK+
Embedding a Matplotlib figure in a GTK+ window
Real-time plots update
Embedding Matplotlib in a Glade application
Summary
Chapter 6: Embedding Matplotlib in Qt 4
Brief introduction to Qt 4 and PyQt4
Embedding a Matplotlib figure in a Qt window
Real-time update of a Matplotlib graph
Embedding Matplotlib in a GUI made with Qt Designer
Summary
Chapter 7: Embedding Matplotlib in wxWidgets
Brief introduction to wxWidgets and wxPython
Embedding a Matplotlib figure in a wxFrame
Real-time plots update
Embedding Matplotlib in a GUI made with wxGlade
Summary
Chapter 8: Matplotlib for the Web
Matplotlib and CGI
Matplotlib and mod_python
Web Frameworks and MVC
Matplotlib and Django
Matplotlib and Pylons
Summary
Chapter 9: Matplotlib in the Real World
Plotting data from a database
Plotting data from the Web
Plotting data by parsing an Apache log file
Plotting data from a CSV file
Plotting extrapolated data using curve fitting
Tools using Matplotlib
Plotting geographical data
Summary

Book Details

ISBN 139781847197900
Paperback308 pages
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