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

Robert Kern writes:

seterr() uses thread-local storage.

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

Pierre GM 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