[Numpy-discussion] use of concatenate with subclass of ndarray

Pierre GM pgmdevlist@gmail....
Wed Mar 28 12:25:53 CDT 2007


On Wednesday 28 March 2007 12:42:52 Bryce Hendrix wrote:
> Thanks Pierre, works like a charm. One question though, how is defining
> a class attribute in __new__ any more thread-safe?

It's not, of course, and that's why it shouldn't be used. However, it's quite 
convenient and easier to use, and do you really need thread-safe objects ?
In your example, if "yourdefaultunit" takes some simple value, you could use 
that value directly instead of the class attributes, which could be slightly 
messier to read but definitely thread-safe. 

The second aspect about initialization is that when a ndarray is viewed as one 
of its subclasses, the actual memory space has already been allocated, so 
there's no call to __new__. Instead, you have to rely on __array_finalize__ 
to initialize the attributes specific to your subclass.


More information about the Numpy-discussion mailing list