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Date |
Author |
Commit |
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animation
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2009-08-23
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jdh2358
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[r7542]
Merged revisions 7536,7541 via svnmerge from
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api
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2009-08-08
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efiring
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[r7434]
Merged revisions 7428-7433 via svnmerge from
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axes_grid
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2009-08-09
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leejjoon
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[r7437]
retrieve a sample image using cbook.get_sample_...
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event_handling
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2009-08-22
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jdh2358
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[r7524]
Merged revisions 7489-7490,7498-7502,7506,7517,...
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misc
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2009-08-22
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jdh2358
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[r7524]
Merged revisions 7489-7490,7498-7502,7506,7517,...
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mplot3d
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2009-08-22
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jdh2358
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[r7524]
Merged revisions 7489-7490,7498-7502,7506,7517,...
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pylab_examples
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2009-08-20
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jdh2358
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[r7511]
make autodateformatter customizable
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tests
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2009-08-04
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jdh2358
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[r7346]
Merged revisions 7323-7326,7328-7331,7334-7337,...
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units
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2009-02-24
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jrevans
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[r6930]
Updated to reflect updated unit conversion inte...
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user_interfaces
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2009-08-05
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jdh2358
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[r7384]
fixed typo in sample data examples
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widgets
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2008-11-20
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efiring
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[r6425]
Fix specification of gray level in slider_demo;...
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README.txt
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2008-06-03
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jdh2358
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[r5378]
updated readme
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Read Me
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)
* 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_examples - the 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