Fetching latest commit…
Cannot retrieve the latest commit at this time.
|Failed to load latest commit information.|
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 procedures like "plot" or "title" to modify the current figure. These examples are included in the "pylab_examples" 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) * axes_grid - Examples related to the AxesGrid toolkit * 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 * mplot3d - 3D examples * pylab_examples - the interface to matplotlib similar to matlab * tests - tests used by matplotlib developers to check functionality (These tests are still sometimes useful, but mostly developers should use the nosetests which perform automatic image comparison.) * 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 * widgets - Examples using interactive widgets