I just reworked the examples directory to make it more approachable and hopefully more usable. The README is included below. As you have time, please add more examples ot the "api" directory either by translating existing pylab examples or writing new ones. This has been a long standing complaint among users that it is difficult to get going with the API, so more examples will help. backend_driver has been reloaded to a tests dir.
matplotlib examples =================== There are a variety of ways to use matplotlib, and most of them are illustrated in the examples in this directory. Probably the most common way people use matplotlib is with the procedural interface, which follows the matlab/IDL/mathematica approach of using simple proceedures like "plot" or "title" to modify the current figure. These examples are included in the "pylab" directory. If you want to write more robust scripts, eg for production use or in a web application server, you will probably want to use the matplotlib API for full control. These examples are found in the "api" directory. Below is a brief description of the different directories found here: * animation - dynamic plots, see the tutorial at http://www.scipy.org/Cookbook/Matplotlib/Animations * api - working with the matplotlib API directory. See the doc/artist_api_tut.txt in the matplotlib src directory ((PDF at http://matplotlib.sf.net/pycon) * data - some data files we use in the examples * event_handling - how to interact with your figure, mouse presses, key presses, object picking, etc. See the event handling tutorial in the "doc" directory of the source distribution (PDF at http://matplotlib.sf.net/pycon) * misc - some miscellaneous examples. some demos for loading and working with record arrays * pylab - the proceedural interface to matplotlib similar to matlab * tests - tests used by matplotlib developers to check functionality * units - working with unit data an custom types in matplotlib * user_interfaces - using matplotlib in a GUI application, eg TkInter, WXPython, pygtk, pyqt or FLTK widgets ------------------------------------------------------------------------- This SF.net email is sponsored by: Microsoft Defy all challenges. Microsoft(R) Visual Studio 2008. http://clk.atdmt.com/MRT/go/vse0120000070mrt/direct/01/ _______________________________________________ Matplotlib-devel mailing list Matplotlib-devel@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-devel