Matplotlib for Python Developers -- Matplotlib for Python Developers -- Credits -- About the Author -- About the Reviewers -- Preface -- What this book covers -- What you need for this book -- Who this book is for -- Conventions -- Reader feedback -- Customer support -- Errata -- Piracy -- Questions -- 1. Introduction to Matplotlib -- Merits of Matplotlib -- Matplotlib web sites and online documentation -- Output formats and backends -- Output formats -- Backends -- About dependencies -- Build dependencies -- Installing Matplotlib -- Installing Matplotlib on Linux -- Installing Matplotlib on Windows -- Installing Matplotlib on Mac OS X -- Installing Matplotlib using packaged Python distributions -- Installing Matplotlib from source code -- Testing our installation -- Summary -- 2. Getting Started with Matplotlib -- First plots with Matplotlib -- Multiline plots -- A brief introduction to NumPy arrays -- Grid, axes, and labels -- Adding a grid -- Handling axes -- Adding labels -- Titles and legends -- Adding a title -- Adding a legend -- A complete example -- Saving plots to a file -- Interactive navigation toolbar -- IPython support -- Controlling the interactive mode -- Suppressing functions output -- Configuring Matplotlib -- Configuration files -- Configuring through the Python code -- Selecting backend from code -- Summary -- 3. Decorate Graphs with Plot Styles and Types -- Markers and line styles -- Control colors -- Specifying styles in multiline plots -- Control line styles -- Control marker styles -- Finer control with keyword arguments -- Handling X and Y ticks -- Plot types -- Histogram charts -- Error bar charts -- Bar charts -- Pie charts -- Scatter plots -- Polar charts -- Navigation Toolbar with polar plots -- Control radial and angular grids -- Text inside figure, annotations, and arrows -- Text inside figure -- Annotations.

Arrows -- Summary -- 4. Advanced Matplotlib -- Object-oriented versus MATLAB styles -- A brief introduction to Matplotlib objects -- Our first (simple) example of OO Matplotlib -- Subplots -- Multiple figures -- Additional Y (or X) axes -- Logarithmic axes -- Share axes -- Plotting dates -- Date formatting -- Axes formatting with axes tick locators and formatters -- Custom formatters and locators -- Text properties, fonts, and LaTeX -- Fonts -- Using LaTeX formatting -- Mathtext -- External TeX renderer -- Contour plots and image plotting -- Contour plots -- Image plotting -- Summary -- 5. Embedding Matplotlib in GTK+ -- A brief introduction to GTK+ -- Introduction to GTK+ signal system -- Embedding a Matplotlib figure in a GTK+ window -- Including a navigation toolbar -- Real-time plots update -- Embedding Matplotlib in a Glade application -- Designing the GUI using Glade -- Code to use Glade GUI -- Summary -- 6. Embedding Matplotlib in Qt 4 -- Brief introduction to Qt 4 and PyQt4 -- Embedding a Matplotlib figure in a Qt window -- Including a navigation toolbar -- Real-time update of a Matplotlib graph -- Embedding Matplotlib in a GUI made with Qt Designer -- Designing the GUI using Qt Designer -- Code to use the Qt Designer GUI -- Introduction to signals and slots -- Returning to the example -- Summary -- 7. Embedding Matplotlib in wxWidgets -- Brief introduction to wxWidgets and wxPython -- Embedding a Matplotlib figure in a wxFrame -- Including a navigation toolbar -- Real-time plots update -- Embedding Matplotlib in a GUI made with wxGlade -- Summary -- 8. Matplotlib for the Web -- Matplotlib and CGI -- What is CGI -- Configuring Apache for CGI execution -- Simple CGI example -- Matplotlib in a CGI script -- Passing parameters to a CGI script -- Matplotlib and mod_python -- What is mod_python -- Apache configuration for mod_python.

Matplotlib in a mod_python example -- Matplotlib and mod_python's Python Server Pages -- Web Frameworks and MVC -- Matplotlib and Django -- What is Django -- Matplotlib in a Django application -- Matplotlib and Pylons -- What is Pylons -- Matplotlib in a Pylons application -- Summary -- 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 -- NetworkX -- Mpmath -- Plotting geographical data -- First example -- Using satellite background -- Plot data over a map -- Plotting shapefiles with Basemap -- Summary.