Hi guys, This library was mentioned on the scipy mailing list today: http://code.google.com/p/pandas/ It looks VERY interesting, as it seems to exist somewhere between the 'time series' and 'data series' modes of thought -- which I would argue is where simulation data lives, too. There was a talk on it at PyCon earlier this week: http://us.pycon.org/2010/conference/schedule/event/50/ (the talk: http://pycon.blip.tv/file/3261331 ) I haven't watched it yet, but the slides and documentation are very interesting. It integrates with MPL, NumPy, etc etc, and provides a number of running-functions for things like running medians and whatnot. I'm going to try running some of my analysis for my current project in this, and if it works out, I think we should consider it as a basis for some more extensive time-domain calculations. -Matt