On Thu, Feb 27, 2014 at 7:14 PM, Kris Kuhlman <[email protected]> wrote: > These IPython notebooks are great. I had some setup issues getting started > on my computer (conflicting MPI versions), but that is solved. There appear > to be some subtle differences between the version of pandas I have and what > you made the notebook with. I can't plot the results (NaN values in the > dataframes result in some errors), but this is not an important issue right > now. > > e.g., there is an issue with this line: > runtimes = runtimes.append({'N' : N, 'iterations' : iterations, 'mode' : > mode, 'suite' : suite, 'run time' : runtime}) > > pandas complains about needing "ignore_index=True" to do this operation
Maybe we have different versions of Pandas. > I know this is not the place to ask about pandas, but I thought I would > point that out. > > Thanks for providing these as an example. I just need to spend some more > time trying to understand the IPython notebook and parallel-calculation > framework, to see how I can apply things from these notebooks to what I want > to do. It is all pretty slick, but I am like a fish out of water when I > can't use my emacs keybindings :) Absolutely, I've asked about this and it hasn't been dealt with and it's really annoying. My browser mostly uses the emacs keybindings for most text entry, but this doesn't work in the IPython notebook. http://thread.gmane.org/gmane.comp.python.ipython.user/9728 You might be interested in a notebook I just wrote up. It uses Sumatra to record the simulations and then port the records into Pandas. It's a more sophisticated way to record the simulations. http://nbviewer.ipython.org/github/wd15/smt-demo/blob/master/demo.ipynb -- Daniel Wheeler _______________________________________________ fipy mailing list [email protected] http://www.ctcms.nist.gov/fipy [ NIST internal ONLY: https://email.nist.gov/mailman/listinfo/fipy ]
