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. | ################################################################/ #---------------------------------------------------------------------- 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 #---------------------------------------------------------------------- overview = """\

PyPlot

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.

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.

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.

File Menu
- Page Setup
  This allows you to set up how the plot will be printed. This is built into the library itself.
- Print Preview
  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.
- Print
  Suprise! It prints the current plot to your printer! :-)
- Save Plot
  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.
Plot Menu
- Plot 1 ... Plot 5
  Different data with different plot formats, including one empty plot.
- Enable Zoom
  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.
- Enable Grid
  Plots can have different styles of grids, and and these grids can be turned on or off as needed.
- Enable Legend
  Plot can have legends or not, the contents which are definable by you.

%s

""" % wx.lib.plot.__doc__ if __name__ == '__main__': import sys,os import run run.main(['', os.path.basename(sys.argv[0])])