Brent Pedersen wrote: > On Mon, Oct 27, 2008 at 1:56 PM, Robert Kern <[EMAIL PROTECTED]> wrote: >> On Mon, Oct 27, 2008 at 15:54, Erik Tollerud <[EMAIL PROTECTED]> wrote: >>> Is there any straightforward way of notifying on change of a numpy >>> array that leaves the numpy arrays still efficient? >> Not currently, no. >> >> -- >> 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://projects.scipy.org/mailman/listinfo/numpy-discussion >> > > out of curiosity, > would something like this affect efficiency (and/or work): > > class Notify(numpy.ndarray): > def __setitem__(self, *args): > self.notify(*args) > return super(Notify, self).__setitem__(*args) > > def notify(self, *args): > print 'notify:', args > > > with also overriding setslice?
I haven't given this much thought, but you'd also likely need to do this for the infix operators (+=, etc.). Ryan -- Ryan May Graduate Research Assistant School of Meteorology University of Oklahoma _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
