John, I think it would be a good Idea to beef up the two
> scales example by adding a second plot were the y axes
> were independent while the x axis is shared. This is a
> more common use of two scales.
Now you've confused me. In two_scales.py, the x axis *is shared* and
there are two independent y axes. I agree that this is the common use
case for multiple scales on the same axes, but that is what two_scales
Do you mean something like examples/ganged_plots.py by chance?