David, the preferred way to custom plots seems to be passing an Axes
instance to the plotting function. Some tricks allow use of
pylab/pyplot style:
def custom_plot(x, y, axes=None):
...
if axes is None: axes = pyplot.gca()
axes.plot(x, y)
....
What you don't get this way is the axes.custom_plot(x, y) sintax,
which requires subclassing Axes. But doing this is not common and not
straighforward if you want it to work well with pyplot.subplot() and
the like.
Maybe monkey patching would work but well, you know... I never tried it anyway.
Goyo
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