On Tuesday 16 June 2009 21:29:29 Nathaniel Echols wrote:
> I'm attempting to plot the distribution of bond angles in protein
> structures (the best-known example:
> http://en.wikipedia.org/wiki/Ramachandran_plot).  I have the raw data as a
> collection of x,y,z data, where x and y are integers between -180 and 180,
> and z is a floating-point value.  (Right now, this data is pure Python
> objects, but I can convert it to NumPy arrays if that would be easier.)  I
> would like to plot this as a continuous color map inside a wxPython window,
> and also overlay the discreet data points for a separate protein.  It
> doesn't really matter what combination of colors I use for this - there
> appear to be many built-in color maps that would be suitable.  I'm pretty
> sure this is possible, based on looking at the examples, but I have no clue
> how to go about this - it doesn't help that all of the examples appear to
> use the pylab interface.  Any suggestions? thanks,
> Nat

Hi Nat

For embedding matplotlib in wx you can have a look at the examples 
embedding_in_wx*.py on 
http://matplotlib.sourceforge.net/examples/user_interfaces/ .

Furthermore you can have a look a the screenshots/examples of imshow and 
contourf for the background and plot / scatter for the discrete data points. 
These functions are included in pylab and also available as methods of an 
axes instance, e.g.
self.axes = self.figure.add_subplot(111)
self.axes.contourf(X, Y, Z)
# and
self.axes.plot(x, y)

best regards Matthias

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