From: Sebastian H. <ha...@ms...> - 2006-07-23 03:39:27
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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 ? Thanks, Sebastian Haase |