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#!/usr/bin/env python
"""
Copyright (C) Jeremy O'Donoghue, 2003
License: This work is licensed under the PSF. A copy should be included
with this source code, and is also available at
http://www.python.org/psf/license.html
This is a sample showing how to embed a matplotlib figure in a wxPanel,
and update the contents whenever a timer event occurs. It is inspired
by the GTK script dynamic_demo.py, by John Hunter (should be supplied with
this file) but I have assumed that you may wish to embed a figure inside
your own arbitrary frame, which makes the code slightly more complicated.
It goes without saying that you can update the display on any event, not
just a timer...
Should you require a toolbar and navigation, inspire yourself from
embedding_in_wx.py, which provides these features.
Modification History:
$Log$
Revision 1.7 2005/06/15 20:24:56 jdh2358
syncing for 82
Revision 1.6 2004/10/26 18:08:13 astraw
Converted to use new NavigationToolbar2 (from old Toolbar).
Revision 1.5 2004/06/26 06:37:20 astraw
Trivial bugfix to eliminate IndexError
Revision 1.4 2004/05/03 12:12:26 jdh2358
added bang header to examples
Revision 1.3 2004/03/08 22:17:20 jdh2358
* Fixed embedding_in_wx and dynamic_demo_wx examples
* Ported build to darwin
* Tk:
removed default figman=None from nav toolbar since it needs the
figman
fixed close bug
small changes to aid darwin build
Revision 1.2 2004/02/26 20:22:58 jaytmiller
Added the "numerix" Numeric/numarray selector module enabling matplotlib
to work with either numarray or Numeric. See matplotlib.numerix.__doc__.
Revision 1.1 2003/12/30 17:22:09 jodonoghue
First version of dynamic_demo for backend_wx
"""
import matplotlib
matplotlib.use('WX')
from matplotlib.backends.backend_wx import FigureCanvasWx,\
FigureManager, NavigationToolbar2Wx
from matplotlib.figure import Figure
import numpy
from wx import *
TIMER_ID = NewId()
class PlotFigure(Frame):
def __init__(self):
Frame.__init__(self, None, -1, "Test embedded wxFigure")
self.fig = Figure((5,4), 75)
self.canvas = FigureCanvasWx(self, -1, self.fig)
self.toolbar = NavigationToolbar2Wx(self.canvas)
self.toolbar.Realize()
# On Windows, default frame size behaviour is incorrect
# you don't need this under Linux
tw, th = self.toolbar.GetSizeTuple()
fw, fh = self.canvas.GetSizeTuple()
self.toolbar.SetSize(Size(fw, th))
# Create a figure manager to manage things
self.figmgr = FigureManager(self.canvas, 1, self)
# Now put all into a sizer
sizer = BoxSizer(VERTICAL)
# This way of adding to sizer allows resizing
sizer.Add(self.canvas, 1, LEFT|TOP|GROW)
# Best to allow the toolbar to resize!
sizer.Add(self.toolbar, 0, GROW)
self.SetSizer(sizer)
self.Fit()
EVT_TIMER(self, TIMER_ID, self.onTimer)
def init_plot_data(self):
a = self.fig.add_subplot(111)
self.ind = numpy.arange(60)
tmp = []
for i in range(60):
tmp.append(numpy.sin((self.ind+i)*numpy.pi/15))
self.X = numpy.array(tmp)
self.lines = a.plot(self.X[:,0],'o')
self.count = 0
def GetToolBar(self):
# You will need to override GetToolBar if you are using an
# unmanaged toolbar in your frame
return self.toolbar
def onTimer(self, evt):
self.count += 1
if self.count >= 60: self.count = 0
self.lines[0].set_data(self.ind, self.X[:,self.count])
self.canvas.draw()
self.canvas.gui_repaint()
if __name__ == '__main__':
app = PySimpleApp()
frame = PlotFigure()
frame.init_plot_data()
# Initialise the timer - wxPython requires this to be connected to the
# receivicng event handler
t = Timer(frame, TIMER_ID)
t.Start(100)
frame.Show()
app.MainLoop()
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