On Nov 12, 2009, at 4:47 AM, Sebastian Haase wrote: > On Thu, Nov 12, 2009 at 10:38 AM, Sebastian Haase <[email protected]> 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 ?
Nothing so far, I think... >> do I need to subclass ndarray to make such a ndarray_with_dict Why go for a full dictionary ? But anyway, yes, subclassing might be the fastest solution for you >> >> (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..) What kind of issues ? Anyhow, by now I'm sure you already googled "numpy subclassing" and checked the first two entries (one in the documentation, one on the cookbook). The examples given should be clear enough , but let me know if you have any problem. Cheers P. _______________________________________________ NumPy-Discussion mailing list [email protected] http://mail.scipy.org/mailman/listinfo/numpy-discussion
