'''Hi, I use the following program in a simulation class
> to demonstrate the niftyness of matplotlib. The
> combination of Python, Numeric, and matplotlib really
> makes a great set of tools for biologists who are largely
> non-programmers these days. Thanks.
Great -- do you have class notes? I will be using the same
combination in a class I am teaching to biologists this fall and am
working on a manuscript with Fernando Perez, basically an introduction
to scientific computing in python.
> I just did a big upgrade from 0.6-before pylab to
> 0.80. This is the only tested program that didn't produce
> the same results before and after:
> Attached are matlab and pylab png files.
Take a look at the release notes at
http://matplotlib.sf.net/whats_new.html for release 0.72. We improved
the way we do multiscale axes and shared axis axes, and the interface
changed somewhat. See examples/shared_axis_demo.py,
examples/two_scales.py and examples/ganged_plots.py. The examples are
available in a zip file on the website.
> Is there another way of doing this that gets back to the
> original output?
Yes
ax1 = subplot(111)
t = arange(0.01, 10.0, 0.01)
s1 = exp(t)
plot(t, s1, 'b-')
xlabel('time (s)')
ylabel('exp')
ax2 = twinx() ### <- this is the new way
s2 = sin(2*pi*t)
plot(t, s2, 'r.')
ylabel('sin')
> Also, is it just my imagination, or does 0.8 take longer
> to display graphs than previous versions. I haven't done
> any formal timing, but the delay seems longer.
I hope it's your imagination 
JDH