Hi, Based on the response I got from the MPL list (below) it seems that my pylab/MA is actually behaving as expected.
MA as a subclass of regular arrays sound like a great idea (see below)! Thanks, Teemu ---------- Forwarded Message ---------- Date: maanantai 27. marraskuu 2006 14:48 -0500 From: Pierre GM <[EMAIL PROTECTED]> To: matplotlib-users@lists.sourceforge.net Subject: Re: [Matplotlib-users] pylab/masked arrays issue on Intel Mac Pro When you type from MA import *, you overwrite the definition of 'array'. And surprisingly enough, a masked array in numpy.core.ma is an object independent of ndarray. Some functions such as swapaxes are not imported by MA (because they were not implemented for one reason or another): you then use the regular numpy function, which doesn't know how to deal with these 'masked arrays' objects. (I simplify a bit, here, but the gist is there) As you've noticed, the best solution is to use import MA. That way, you leave the original numpy namespace alone, and are sure to use only "MA-approved" functions. But you'll likely gonna have to use MA.sqrt, MA.log all over your code. And may run into problems with functions that don't handle masked arrays. Still, it's the cleanest solution (the "from blah import *" tend to be frowned upon these days anyway). An alternative solution is to try the new implementation of masked arrays I've been working on: with this implementation, masked arrays are subclasses of regular arrays, which simplifies life a lot.The source file is available here: http://projects.scipy.org/scipy/numpy/wiki/MaskedArray Note the disclaimer: it's still a work in progress (even if I use it everyday and it works fine) and you'll have to modify a line in the matplotlib source to make it work OK with matplotlib, which is a bit tedious I agree. But it works. And it's actively maintained. Hope it helps P. ---------- End Forwarded Message ---------- --On maanantai 27. marraskuu 2006 09:39 -0800 Christopher Barker <[EMAIL PROTECTED]> wrote: > Teemu Rinne wrote: > >> To my great surprise, I managed to compile scipy on Intel Mac Pro without >> too much trouble (sorting out gcc and python versions and missing fortran >> took awhile). My collection of packages seems to work now > > Is it a Universal build? WE really do need to get a complete set of > up-to-date: > > numpy > matplotlib > scipy > > that all work together. > >> but there still >> remains one (minor) issue with masked arrays. > > This looks like an MPL bug to me -- have you tested on other platforms? > I'd post to the MPL list. > > -Chris > > > -- > Christopher Barker, Ph.D. > Oceanographer > > Emergency Response Division > NOAA/NOS/OR&R (206) 526-6959 voice > 7600 Sand Point Way NE (206) 526-6329 fax > Seattle, WA 98115 (206) 526-6317 main reception > > [EMAIL PROTECTED] _______________________________________________ Pythonmac-SIG maillist - Pythonmac-SIG@python.org http://mail.python.org/mailman/listinfo/pythonmac-sig
