On Sep 13, 3:18 pm, John Ladasky <john_lada...@sbcglobal.net> wrote: > In my leisure time, I would like to dig deeper into the issue of why > object identities are not guaranteed for elements in numpy arrays... > with elements of type "float", at least, I thought this would be > trivial.
Unlike Python lists, numpy arrays don't store objects. It stores the underlying number, not the object containing the number. So whenever you get a value from a numpy array, Python (usually) has to create a new object for it. Carl Banks -- http://mail.python.org/mailman/listinfo/python-list
