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.kern@gmail.com> wrote:
On Sat, May 23, 2009 at 16:47, David Warde-Farley <dwf@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