Hi Fred, Pandas has a nice interface to PyTable if you still need it:
http://pandas.sourceforge.net/io.html#hdf5-pytables However, my intention was just to point you to pandas because it is really a powerful tool if you need to deal with tabular heterogenic data. It is also important to notice that there are plans in the numpy community to include/port "part" of this package directly in the codebase. This says a lot about how good it is... Best, Eraldo On Tue, Dec 13, 2011 at 9:01 PM, ferreirafm <ferreir...@lim12.fm.usp.br>wrote: > > Hi Eraldo, > Thanks for your suggestion. I was using pytables but give up after known > that some very useful capabilities are sold as a professional package. > However, it still useful to many printing and data manipulation and, also, > it can handle extremely large datasets (which is not my case.). > Regards, > Fred > > > Eraldo Pomponi wrote: > > > > I would suggest you to have a look at pandas > > (http://pandas.sourceforge.net/) > > . It was > > really helpful for me. It seems well suited for the type of data that you > > are working > > with. It has nice "brodcasting" capabilities to apply numpy functions to > a > > set column. > > http://pandas.sourceforge.net/basics.html#descriptive-statistics > > http://pandas.sourceforge.net/basics.html#function-application > > > > Cheers, > > Eraldo > > > > -- > View this message in context: > http://old.nabble.com/numpy.mean-problems-tp32945124p32970295.html > Sent from the Numpy-discussion mailing list archive at Nabble.com. > > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@scipy.org > http://mail.scipy.org/mailman/listinfo/numpy-discussion >
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