Ok, I understand that my thought on making hdf5 the standard save/load format for numpy was a bit naive. If it would have been easy it would already have been done. Thanks for the insights Robert.
Well anyhow, I will continue with my little module and see where it goes. I will start a new thread in the pyTables list to discuss the steps needed to be taken to add pyhdf5io to the pyTables project. Thanks to everyone who took part in this discussion. /Albert On Sat, May 23, 2009 at 23:56, Robert Kern <robert.k...@gmail.com> wrote: > On Sat, May 23, 2009 at 16:47, David Warde-Farley <d...@cs.toronto.edu> wrote: >> >> On 23-May-09, at 4:59 PM, Robert Kern wrote: >> >>>> Otherwise it will just work the way it does now. >>> >>> That would cause difficulties. Now the format of your data depends on >>> whether or not you have a package installed. That's not a very good >>> level of control. >> >> Sorry, I wasn't clear. What I meant was, if hdf5pickle isn't detected >> you could just refuse to save anything that's not a numpy array. > > Ah, good. That makes much more sense. :-) > > -- > Robert Kern > > "I have come to believe that the whole world is an enigma, a harmless > enigma that is made terrible by our own mad attempt to interpret it as > though it had an underlying truth." > -- Umberto Eco > _______________________________________________ > Numpy-discussion mailing list > Numpy-discussion@scipy.org > http://mail.scipy.org/mailman/listinfo/numpy-discussion > _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
