[Numpy-discussion] Are masked arrays slower for processing than ndarrays?

Matt Knox mattknox.ca at gmail.com
Wed May 13 20:07:03 EDT 2009


> Robert Kern <robert.kern <at> gmail.com> writes:
>
> seterr() uses thread-local storage.

Oh. I stand corrected. Ignore my earlier objections then.

> Pierre GM <pgmdevlist <at> gmail.com> writes:
>
> Also, importing numpy.ma currently calls numpy.seterr(all='ignore')  
> anyway...

hmm. While this doesn't affect me personally... I wonder if everyone is aware of
this. Importing modules generally shouldn't have side effects either I would
think. Has this always been the case for the masked array module?

- Matt




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