[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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