On Monday 24 July 2006 12:23, Travis Oliphant wrote: > Sebastian Haase wrote: > > Hi, > > I have a (medical) image file. > > I wrote a nice interface based on memmap using numarray. > > The class design I used was essentially to return a numarray array > > object with a new "custom" attribute giving access to special > > information about the base file. > > > > Now with numpy I noticed that a numpy object does not allow adding new > > attributes !! (How is this ? Why ?) > > > > Travis already suggested (replying to one of my last postings) to create > > a new sub class of numpy.ndarray. > > > > But how do I initialize an object of my new class to be "basically > > identically to" an existing ndarray object ? > > Normally I could do > > class B(N.ndarray): > > pass > > a=N.arange(10) > > a.__class__ = B > > > > BUT I get this error: > > #>>> a.__class__ = B > > Traceback (most recent call last): > > File "<input>", line 1, in ? > > TypeError: __class__ assignment: only for heap types > > > > What is a "heap type" ? Why ? How can I do what I want ? > > A heap type is one created in Python (i.e. not builtin with C). > > You should be able to do > > a = a.view(B) > > -Travis Thanks - (I'm just replying because I assume your helpful answer was mistakenly sent to me only and did not make it to the list)
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