Mar 3, 2018 · Mar 3, 2018
diff --git a/doc/users/event_handling.rst b/doc/users/event_handling.rst
 Event handling and picking
 **************************

 matplotlib works with a number of user interface toolkits (wxpython,
 Matplotlib works with a number of user interface toolkits (wxpython,
 tkinter, qt4, gtk, and macosx) and in order to support features like
 interactive panning and zooming of figures, it is helpful to the
 developers to have an API for interacting with the figure via key
    fig.canvas.mpl_disconnect(cid)

 .. note::
   The canvas retains only weak references to the callbacks.  Therefore
   if a callback is a method of a class instance, you need to retain
   a reference to that instance.  Otherwise the instance will be
   garbage-collected and the callback will vanish.
   The canvas retains only weak references to instance methods used as
   callbacks.  Therefore, you need to retain a reference to instances owning
   such methods.  Otherwise the instance will be garbage-collected and the
   callback will vanish.

   This does not affect free functions used as callbacks.


 Here are the events that you can connect to, the class instances that
 are sent back to you when the event occurs, and the event descriptions
 are sent back to you when the event occurs, and the event descriptions:


 =======================  =============================================================================================
diff --git a/examples/event_handling/README.txt b/examples/event_handling/README.txt
 .. _event_handling_examples:

 EventHandling
 Eventhandling
 ==============

 Matplotlib supports event handling with a GUI neutral event model, so
 you can connect to Matplotlib events without knowledge of what user
 interface Matplotlib will ultimately be plugged in to.  This has two
 advantages: the code you write will be more portable, and Matplotlib
 events are aware of things like data coordinate space and which axes
 the event occurs in so you don't have to mess with low level
 transformation details to go from canvas space to data space.  Object
 picking examples are also included.
 Matplotlib supports :doc:`event handling</users/event_handling>` with a GUI
 neutral event model, so you can connect to Matplotlib events without knowledge
 of what user interface Matplotlib will ultimately be plugged in to.  This has
 two advantages: the code you write will be more portable, and Matplotlib events
 are aware of things like data coordinate space and which axes the event occurs
 in so you don't have to mess with low level transformation details to go from
 canvas space to data space.  Object picking examples are also included.
Original file line number	Diff line number	Diff line change
Expand Up		@@ -4,7 +4,7 @@
		Event handling and picking
		**************************

		matplotlib works with a number of user interface toolkits (wxpython,
		Matplotlib works with a number of user interface toolkits (wxpython,
		tkinter, qt4, gtk, and macosx) and in order to support features like
		interactive panning and zooming of figures, it is helpful to the
		developers to have an API for interacting with the figure via key
Expand DownExpand Up		@@ -47,14 +47,16 @@ disconnect the callback, just call::
		fig.canvas.mpl_disconnect(cid)

		.. note::
		The canvas retains only weak references to the callbacks. Therefore
		if a callback is a method of a class instance, you need to retain
		a reference to that instance. Otherwise the instance will be
		garbage-collected and the callback will vanish.
		The canvas retains only weak references to instance methods used as
		callbacks. Therefore, you need to retain a reference to instances owning
		such methods. Otherwise the instance will be garbage-collected and the
		callback will vanish.

		This does not affect free functions used as callbacks.


		Here are the events that you can connect to, the class instances that
		are sent back to you when the event occurs, and the event descriptions
		are sent back to you when the event occurs, and the event descriptions:


		======================= =============================================================================================
Expand Down
Original file line number	Diff line number	Diff line change
		@@ -1,13 +1,12 @@
		.. _event_handling_examples:

		EventHandling
		Eventhandling
		==============

		Matplotlib supports event handling with a GUI neutral event model, so
		you can connect to Matplotlib events without knowledge of what user
		interface Matplotlib will ultimately be plugged in to. This has two
		advantages: the code you write will be more portable, and Matplotlib
		events are aware of things like data coordinate space and which axes
		the event occurs in so you don't have to mess with low level
		transformation details to go from canvas space to data space. Object
		picking examples are also included.
		Matplotlib supports :doc:`event handling</users/event_handling>` with a GUI
		neutral event model, so you can connect to Matplotlib events without knowledge
		of what user interface Matplotlib will ultimately be plugged in to. This has
		two advantages: the code you write will be more portable, and Matplotlib events
		are aware of things like data coordinate space and which axes the event occurs
		in so you don't have to mess with low level transformation details to go from
		canvas space to data space. Object picking examples are also included.