[wxWidgets.git] / wxPython / demo / PyPlot.py


import  wx
import  wx.lib.plot

################################################################\
# Where's the code???                                           |
#                                                               |
# wx.lib.plot.py came with its own excellent demo built in,     |
# for testing purposes, but it serves quite well to demonstrate |
# the code and classes within, so we are simply borrowing that  |
# code for the demo. Please load up wx.lib.plot.py for a review |
# of the code itself. The demo/test is at the bottom of         |
# the file, as expected.                                        |
################################################################/

#---------------------------------------------------------------------------

class TestPanel(wx.Panel):
    def __init__(self, parent, log):
        self.log = log
        wx.Panel.__init__(self, parent, -1)

        b = wx.Button(self, -1, "Show the PyPlot sample", (50,50))
        self.Bind(wx.EVT_BUTTON, self.OnButton, b)


    def OnButton(self, evt):
        win = wx.lib.plot.TestFrame(self, -1, "PlotCanvas Demo")
        win.Show()

#---------------------------------------------------------------------------


def runTest(frame, nb, log):
    win = TestPanel(nb, log)
    return win


#----------------------------------------------------------------------

overview = """\
<html><body>
<center><h2>PyPlot</h2></center>

This demo illustrates the features of the new PyPlot modules, found
in wx.lib.plot.py. All methods and functions are documented clearly
therein; only the overview is included here.

<p>
PyPlot is an improvement over wxPlotCanvas, which is now deprecated.
If you are using wxPlotCanvas now, please make plans to migrate in
anticipation of the time that wxPlotCanvas disappears completely.

<p>
The demo illustrates four different plot styles (with appropriate
variations on fonts, etc, to show how flexible it is) as well as
provides you with a means to tinker with all the features that
come with the class itself.

<p><ul>
<li>File Menu

    <ul>
    <li>Page Setup

        <p>This allows you to set up how the plot will be printed. This
        is built into the library itself.
       
    <li>Print Preview

        <p>As you might expect, this allows you to preview how the plot
        will look when printed, in light of the page setup you may
        have selected above.
        
    <li>Print
    
        <p>Surprise! It prints the current plot to your printer! :-)
        
    <li>Save Plot
    
        <p>That's right, the library even provides you with the means
        to export the plotted data out to a graphics file. Several
        formats are allowed for, basically any image class that
        supports saving.
    </ul>
    
<li>Plot Menu

    <ul>
    <li>Plot 1 ... Plot 5
     
        <p>Different data with different plot formats, including one empty
        plot.
         
    <li>Enable Zoom
    
        <p>If Zoom is enabled, you can rubber-band select an area of the
        plot to examine it in detail using the left mouse button. Right
        mouse button zooms back out. This is automatically supported
        by the library, all you have to do is turn it on.
        
    <li>Enable Grid
    
        <p>Plots can have different styles of grids, and and these grids can
        be turned on or off as needed.
        
    <li>Enable Legend
    
        <p>Plot can have legends or not, the contents which are definable 
        by you.
    </ul>
</ul>
        
<HR><pre>
%s</pre>
</body></html>
""" % wx.lib.plot.__doc__


if __name__ == '__main__':
    import sys,os
    import run
    run.main(['', os.path.basename(sys.argv[0])] + sys.argv[1:])
Commit	Line	Data
9d6685e2 RD	1
	2	import wx
	3	import wx.lib.plot
	4
	5	################################################################\
	6	# Where's the code??? \|
	7	# \|
	8	# wx.lib.plot.py came with its own excellent demo built in, \|
	9	# for testing purposes, but it serves quite well to demonstrate \|
	10	# the code and classes within, so we are simply borrowing that \|
60d8ee39	11	# code for the demo. Please load up wx.lib.plot.py for a review \|
9d6685e2 RD	12	# of the code itself. The demo/test is at the bottom of \|
	13	# the file, as expected. \|
	14	################################################################/
	15
5523df9f RD	16	#---------------------------------------------------------------------------
	17
	18	class TestPanel(wx.Panel):
	19	def __init__(self, parent, log):
	20	self.log = log
	21	wx.Panel.__init__(self, parent, -1)
	22
	23	b = wx.Button(self, -1, "Show the PyPlot sample", (50,50))
	24	self.Bind(wx.EVT_BUTTON, self.OnButton, b)
	25
	26
	27	def OnButton(self, evt):
	28	win = wx.lib.plot.TestFrame(self, -1, "PlotCanvas Demo")
	29	win.Show()
	30
	31	#---------------------------------------------------------------------------
	32
9d6685e2 RD	33
9d6685e2 RD	34	def runTest(frame, nb, log):
5523df9f RD	35	win = TestPanel(nb, log)
	36	return win
	37
9d6685e2 RD	38
	39	#----------------------------------------------------------------------
	40
	41	overview = """\
	42	<html><body>
	43	<center><h2>PyPlot</h2></center>
	44
	45	This demo illustrates the features of the new PyPlot modules, found
	46	in wx.lib.plot.py. All methods and functions are documented clearly
	47	therein; only the overview is included here.
	48
	49	<p>
	50	PyPlot is an improvement over wxPlotCanvas, which is now deprecated.
	51	If you are using wxPlotCanvas now, please make plans to migrate in
	52	anticipation of the time that wxPlotCanvas disappears completely.
	53
	54	<p>
	55	The demo illustrates four different plot styles (with appropriate
	56	variations on fonts, etc, to show how flexible it is) as well as
	57	provides you with a means to tinker with all the features that
	58	come with the class itself.
	59
	60	<p><ul>
	61	<li>File Menu
	62
	63	<ul>
	64	<li>Page Setup
	65
60d8ee39	66	<p>This allows you to set up how the plot will be printed. This
9d6685e2 RD	67	is built into the library itself.
	68
	69	<li>Print Preview
	70
60d8ee39	71	<p>As you might expect, this allows you to preview how the plot
9d6685e2 RD	72	will look when printed, in light of the page setup you may
	73	have selected above.
	74
	75	<li>Print
	76
653d2f0c	77	<p>Surprise! It prints the current plot to your printer! :-)
9d6685e2 RD	78
	79	<li>Save Plot
	80
60d8ee39	81	<p>That's right, the library even provides you with the means
9d6685e2 RD	82	to export the plotted data out to a graphics file. Several
	83	formats are allowed for, basically any image class that
	84	supports saving.
	85	</ul>
	86
	87	<li>Plot Menu
	88
	89	<ul>
	90	<li>Plot 1 ... Plot 5
	91
60d8ee39	92	<p>Different data with different plot formats, including one empty
9d6685e2 RD	93	plot.
	94
	95	<li>Enable Zoom
	96
60d8ee39	97	<p>If Zoom is enabled, you can rubber-band select an area of the
9d6685e2 RD	98	plot to examine it in detail using the left mouse button. Right
	99	mouse button zooms back out. This is automatically supported
	100	by the library, all you have to do is turn it on.
	101
	102	<li>Enable Grid
	103
60d8ee39	104	<p>Plots can have different styles of grids, and and these grids can
9d6685e2 RD	105	be turned on or off as needed.
	106
	107	<li>Enable Legend
	108
60d8ee39	109	<p>Plot can have legends or not, the contents which are definable
9d6685e2 RD	110	by you.
	111	</ul>
	112	</ul>
	113
	114	<HR><pre>
	115	%s</pre>
	116	</body></html>
	117	""" % wx.lib.plot.__doc__
	118
	119
	120	if __name__ == '__main__':
	121	import sys,os
	122	import run
8eca4fef	123	run.main(['', os.path.basename(sys.argv[0])] + sys.argv[1:])
9d6685e2	124