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Commitcbc4229

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rcomermeeseeksmachine
authored andcommitted
Backport PR#28739: Tweak interactivity docs wording (and fix capitalization).
1 parentd04b2f6 commitcbc4229

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‎galleries/users_explain/figure/event_handling.rst

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@@ -251,7 +251,8 @@ is created every time a mouse is pressed::
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def __call__(self, event):
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print('click', event)
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if event.inaxes!=self.line.axes: return
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if event.inaxes != self.line.axes:
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return
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self.xs.append(event.xdata)
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self.ys.append(event.ydata)
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self.line.set_data(self.xs, self.ys)
@@ -277,17 +278,19 @@ event.ydata)``. In addition to the ``LocationEvent`` attributes, it also has:
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Draggable rectangle exercise
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----------------------------
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Write draggable rectangle class that is initialized with a
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Writeadraggable rectangle class that is initialized with a
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`.Rectangle` instance but will move its ``xy``
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location when dragged. Hint: you will need to store the original
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``xy`` location of the rectangle which is stored as rect.xy and
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location when dragged.
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Hint: You will need to store the original
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``xy`` location of the rectangle which is stored as ``rect.xy`` and
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connect to the press, motion and release mouse events. When the mouse
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is pressed, check to see if the click occurs over your rectangle (see
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`.Rectangle.contains`) and if it does, store
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the rectangle xy and the location of the mouse click in datacoords.
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the rectangle xy and the location of the mouse click in datacoordinates.
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In the motion event callback, compute the deltax and deltay of the
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mouse movement, and add those deltas to the origin of the rectangle
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you stored. The redraw the figure. On the button release event, just
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you stored, then redraw the figure. On the button release event, just
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reset all the button press data you stored as None.
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Here is the solution::

‎galleries/users_explain/figure/interactive.rst

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@@ -10,7 +10,7 @@
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Interactive figures
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===================
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When working with data, interactivitycan be invaluable. The pan/zoom and
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Interactivitycan be invaluable when exploring plots. The pan/zoom and
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mouse-location tools built into the Matplotlib GUI windows are often sufficient, but
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you can also use the event system to build customized data exploration tools.
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‎galleries/users_explain/figure/interactive_guide.rst

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@@ -236,7 +236,7 @@ which would poll for new data and update the figure at 1Hz.
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.. _spin_event_loop:
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Explicitly spinning the eventLoop
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Explicitly spinning the eventloop
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----------------------------------
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..autosummary::

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