5523df9f4b
git-svn-id: https://svn.wxwidgets.org/svn/wx/wxWidgets/trunk@28743 c3d73ce0-8a6f-49c7-b76d-6d57e0e08775
125 lines
3.6 KiB
Python
125 lines
3.6 KiB
Python
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import wx
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import wx.lib.plot
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################################################################\
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# Where's the code??? |
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# |
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# wx.lib.plot.py came with its own excellent demo built in, |
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# for testing purposes, but it serves quite well to demonstrate |
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# the code and classes within, so we are simply borrowing that |
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# code for the demo. Please load up wx.lib.plot.py for a review |
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# of the code itself. The demo/test is at the bottom of |
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# the file, as expected. |
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################################################################/
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#---------------------------------------------------------------------------
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class TestPanel(wx.Panel):
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def __init__(self, parent, log):
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self.log = log
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wx.Panel.__init__(self, parent, -1)
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b = wx.Button(self, -1, "Show the PyPlot sample", (50,50))
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self.Bind(wx.EVT_BUTTON, self.OnButton, b)
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def OnButton(self, evt):
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win = wx.lib.plot.TestFrame(self, -1, "PlotCanvas Demo")
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win.Show()
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#---------------------------------------------------------------------------
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def runTest(frame, nb, log):
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win = TestPanel(nb, log)
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return win
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#----------------------------------------------------------------------
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overview = """\
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<html><body>
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<center><h2>PyPlot</h2></center>
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This demo illustrates the features of the new PyPlot modules, found
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in wx.lib.plot.py. All methods and functions are documented clearly
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therein; only the overview is included here.
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<p>
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PyPlot is an improvement over wxPlotCanvas, which is now deprecated.
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If you are using wxPlotCanvas now, please make plans to migrate in
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anticipation of the time that wxPlotCanvas disappears completely.
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<p>
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The demo illustrates four different plot styles (with appropriate
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variations on fonts, etc, to show how flexible it is) as well as
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provides you with a means to tinker with all the features that
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come with the class itself.
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<p><ul>
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<li>File Menu
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<ul>
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<li>Page Setup
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<p>This allows you to set up how the plot will be printed. This
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is built into the library itself.
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<li>Print Preview
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<p>As you might expect, this allows you to preview how the plot
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will look when printed, in light of the page setup you may
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have selected above.
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<li>Print
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<p>Surprise! It prints the current plot to your printer! :-)
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<li>Save Plot
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<p>That's right, the library even provides you with the means
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to export the plotted data out to a graphics file. Several
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formats are allowed for, basically any image class that
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supports saving.
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</ul>
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<li>Plot Menu
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<ul>
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<li>Plot 1 ... Plot 5
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<p>Different data with different plot formats, including one empty
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plot.
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<li>Enable Zoom
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<p>If Zoom is enabled, you can rubber-band select an area of the
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plot to examine it in detail using the left mouse button. Right
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mouse button zooms back out. This is automatically supported
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by the library, all you have to do is turn it on.
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<li>Enable Grid
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<p>Plots can have different styles of grids, and and these grids can
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be turned on or off as needed.
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<li>Enable Legend
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<p>Plot can have legends or not, the contents which are definable
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by you.
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</ul>
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</ul>
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<HR><pre>
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%s</pre>
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</body></html>
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""" % wx.lib.plot.__doc__
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if __name__ == '__main__':
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import sys,os
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import run
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run.main(['', os.path.basename(sys.argv[0])] + sys.argv[1:])
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