I've been giving matplotlib (0.85) a spin, as a front end for
'exploring' scientific simulation results. Now I've got the data in and
had a play, there's been a few things which have confused me somewhat
about the API/features:
* Is there the equivalent of [axes].set_ydata(), but for contours or other 3d-data plots?
* pcolor seems slow, and for some reason it defaults to automatically selecting a different (overly large) automatic axis-range than contour[f] - even if it has the X&Y data. I have an irregular mesh, so I'm not sure that imshow will work properly on its own, even if I set the data range in some way.
* For some reason my install leaves me with pylab windows which have no
proper icons in the bottom button bar. I've set MATPLOTLIBDATA and
PYTHONPATH, since I installed the modules into a subdir of my home
* Closing the pylab windows using the window-manager results in the
python process continuing - should this be calling some function to
interrupt the show() function? (I'm running GTK/GTKAgg if its relevant)
Nevertheless, even with these annoyances, I'm quite happy with the results so far - it is perhaps already simpler than the system I had been using previously, and has taken very little time to get to grips with
Having said that, I'm not entirely clear whether pylab is intended to be
'the' interface to matplotlib, or just a simplified front-end - it seems
quite confusing from reading some of the online documents.
Thanks for matplotlib, (I'll think of other things to ask, in time!)