On Thu, Nov 12, 2009 at 10:38 AM, Sebastian Haase <seb.ha...@gmail.com> wrote: > Hi, > > I hope my subject line is not entirely incomprehensible: > I remember there was a discussion (some time ago) that every ndarray > instance should get an extra dictionary (or just a "hook" for it, to > minimize the memory foot print) for "application specific" / > "auxiliary" data. > What is the current state on this ? > > The issue at hand is, that my image analysis development platform > supports various file types by now, and I usually load images straight > into an ndarray (e.g. using PIL for standard types). > This is fine for most needs depending only on the pixel values. > However, now I would like to save images back after performing some > operation on it. > So it would be nice if I could "attach" the original filename to the > respective ndarray. > Is this possible with standard ndarray (using the mentioned dictionary > attribute) > or > do I need to subclass ndarray to make such a ndarray_with_dict > ? > > (For the latter it would be very helpful to get a hint on how to make > such a "minimal" ndarray-subclass . I remember some issues involving > some special __new__ methods, that I don't entirely remember by > heard..) > I found the thread I was thinking of in the archive: http://www.mail-archive.com/numpy-discussion@scipy.org/msg11898.html
However, what was the outcome ... ? Sebastian Haase _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
