On Fri, 05 Jun 2015 13:11:13 +0000, Paul Appleby wrote: > (I'd have thought that id(a[1]) and id(b[1]) would be the same if they > were the same element via different "views", but the id's seem to change > according to rules that I can't fathom.)
First, a[1] and b[1] aren't views, they're scalars. Second, different views on the same data are different objects, they just share the same underlying data. Consider the case where the slice doesn't cover the entire range: > a = np.array([1,2,3]) > b = a[:2] > a array([1, 2, 3]) > b array([1, 2]) > id(a) 139682716078288 > id(b) 139682716078368 > b[0] = 99 > a array([99, 2, 3]) > b array([99, 2]) The case where a slice *does* cover the entire range isn't special; the resulting view is still a different object. -- https://mail.python.org/mailman/listinfo/python-list
