matplotlib
diff --git a/‎examples/animation/README.txt
Copy file name to clipboard
+7Lines changed: 7 additions & 0 deletions b/‎examples/animation/README.txt
Copy file name to clipboard
+7Lines changed: 7 additions & 0 deletions
diff --git a/‎examples/api/README.txt
Copy file name to clipboardExpand all lines: examples/api/README.txt
+3Lines changed: 3 additions & 0 deletions b/‎examples/api/README.txt
Copy file name to clipboardExpand all lines: examples/api/README.txt
+3Lines changed: 3 additions & 0 deletions
diff --git a/‎examples/event_handling/README.txt
Copy file name to clipboardExpand all lines: examples/event_handling/README.txt
+3Lines changed: 3 additions & 0 deletions b/‎examples/event_handling/README.txt
Copy file name to clipboardExpand all lines: examples/event_handling/README.txt
+3Lines changed: 3 additions & 0 deletions
@@ -0,0 +1,7 @@
+matplotlib animations
+=====================
+
+There are a variety of techniques you can use to create dynamic plots,
+which I refer to as animations.  See the tutorial at
+http://www.scipy.org/Cookbook/Matplotlib/Animations for an
+introduction to the basic concepts
@@ -1,3 +1,6 @@
+matplotlib API
+==============
+
 These examples use the matplotlib api rather than the pylab/pyplot
 procedural state machine.  For robust, production level scripts, or
 for applications or web application servers, we recommend you use the
 
@@ -1,3 +1,6 @@
+matplotlib event handling
+=========================
+
 matplotlib supports event handling with a GUI neutral event model.  So
 you can connect to matplotlib events w/o knowledge of what user
 interface matplotlib will ultimately be plugged in to.  This has two