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..) Thanks, Sebastian Haase _______________________________________________ NumPy-Discussion mailing list [email protected] http://mail.scipy.org/mailman/listinfo/numpy-discussion
