git-svn-id: https://svn.wxwidgets.org/svn/wx/wxWidgets/trunk@25140 c3d73ce0-8a6f-49c7-b76d-6d57e0e08775
		
			
				
	
	
		
			111 lines
		
	
	
		
			3.3 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
			
		
		
	
	
			111 lines
		
	
	
		
			3.3 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.py.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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def runTest(frame, nb, log):
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    # Loading the demo class directly from the library's
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    # test code.
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    win = wx.lib.plot.TestFrame(nb, -1, "PlotCanvas Demo")
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    frame.otherWin = win
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    return None
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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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        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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        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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        Suprise! It prints the current plot to your printer! :-)
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    <li>Save Plot
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        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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        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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        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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        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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        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])])
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