After seeing John Hunter's talking this morning at SciPy, where he
showed displaying the results of matplotlib.animation.Animation in the
IPython notebook (and having not seen Animation's "save" function
before) I tested it out myself. It worked quite nicely for local,
scripted jobs. Thanks!
Anyway, one of the most common use cases I have is to distribute data
to workers, where typically each worker does their own analysis,
visualization, and then dumps the resultant Matplotlib figure to disk,
where I assemble them by hand. It would be really awesome to be able
to use the matplotlib animation framework from within this, during the
normal reduction phase.
Is there a simple way to either pass in a list of filenames to the
animation process (looks like the _make_movie function might be a good
candidate) in a forward-compatible way, or a simple way to read in an
image from disk and make the entirety of a figure that image? It
seems like either of these would work -- the former, so that I could
hand assemble, and the latter so that we could write a "func" for
FuncAnimation that would simply stream back the on-disk files.
Thanks for any ideas,