import wx
-import wx.lib.plot
+
+hadImportError = False
+try:
+ import wx.lib.plot
+except ImportError:
+ hadImportError = True
+
################################################################\
# 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.py.plot.py for a review |
+# 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):
- # Loading the demo class directly from the library's
- # test code.
- win = wx.lib.plot.TestFrame(nb, -1, "PlotCanvas Demo")
- frame.otherWin = win
- return None
+ if not hadImportError:
+ win = TestPanel(nb, log)
+ else:
+ from Main import MessagePanel
+ win = MessagePanel(nb, """\
+This demo requires the Numeric or numarray module,
+which could not be imported. It probably is not installed
+(it's not part of the standard Python distribution). See the
+Python site (http://www.python.org) for information on
+downloading source or binaries.""",
+ 'Sorry', wx.ICON_WARNING)
+
+ return win
+
#----------------------------------------------------------------------
-overview = """\
+if hadImportError:
+ overview = ""
+else:
+ overview = """\
<html><body>
<center><h2>PyPlot</h2></center>
<ul>
<li>Page Setup
- This allows you to set up how the plot will be printed. This
+ <p>This allows you to set up how the plot will be printed. This
is built into the library itself.
<li>Print Preview
- As you might expect, this allows you to preview how the plot
+ <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
- Suprise! It prints the current plot to your printer! :-)
+ <p>Surprise! It prints the current plot to your printer! :-)
<li>Save Plot
- That's right, the library even provides you with the means
+ <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 1 ... Plot 5
- Different data with different plot formats, including one empty
+ <p>Different data with different plot formats, including one empty
plot.
<li>Enable Zoom
- If Zoom is enabled, you can rubber-band select an area of the
+ <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
- Plots can have different styles of grids, and and these grids can
+ <p>Plots can have different styles of grids, and and these grids can
be turned on or off as needed.
<li>Enable Legend
- Plot can have legends or not, the contents which are definable
+ <p>Plot can have legends or not, the contents which are definable
by you.
</ul>
</ul>
if __name__ == '__main__':
import sys,os
import run
- run.main(['', os.path.basename(sys.argv[0])])
+ run.main(['', os.path.basename(sys.argv[0])] + sys.argv[1:])
projects / wxWidgets.git / blobdiff