Does this new MA class allow masking of rearray like arrays? The numpy (1.0b5) version does not seem to. e.g.
from numpy import * desc = [('name','S30'),('age',int8),('weight',float32)] a = array([('Bill',31,260.0),('Fred', 15, 145.0)], dtype=desc) print a[0] print a['name'] a2 = ma.array([('Bill',31,260.0),('Fred', 15, 145.0)], dtype=desc, mask=ma.nomask) print a2[0] print a2['name'] a3 = ma.array([('Bill',31,260.0),('Fred', 15, 145.0)], dtype=desc, mask=[[True,False,False],[False,False, False]]) print a3[0] print a3['name'] -- output ('Bill', 31, 260.0) [Bill Fred] ('Bill', 31, 260.0) [Bill Fred] Traceback (most recent call last): File "D:\eclipse\Table\scripts\testrecarray.py", line 12, in ? a3 = ma.array([('Bill',31,260.0),('Fred', 15, 145.0)], dtype=desc, mask=[[True,False,False],[False,False, False]]) File "C:\Python23\Lib\site-packages\numpy\core\ma.py", line 592, in __init__ raise MAError, "Mask and data not compatible." numpy.core.ma.MAError: Mask and data not compatible. On 10/16/06, Pierre GM <[EMAIL PROTECTED]> wrote: > Folks, > I just posted on the scipy/developers zone wiki > (http://projects.scipy.org/scipy/numpy/wiki/MaskedArray) a reimplementation > of the masked_array mopdule, motivated by some problems I ran into while > subclassing MaskedArray. > > The main differences with the initial numpy.core.ma package are that > MaskedArray is now a subclass of ndarray and that the _data section can now > be any subclass of ndarray (well, it should work in most cases, some tweaking > might required here and there). Apart from a couple of issues listed below, > the behavior of the new MaskedArray class reproduces the old one. It is quite > likely to be significantly slower, though: I was more interested in a clear > organization than in performance, so I tended to use wrappers liberally. I'm > sure we can improve that rather easily. > > The new module, along with a test suite and some utilities, are available > here: > http://projects.scipy.org/scipy/numpy/attachment/wiki/MaskedArray/maskedarray.py > http://projects.scipy.org/scipy/numpy/attachment/wiki/MaskedArray/masked_testutils.py > http://projects.scipy.org/scipy/numpy/attachment/wiki/MaskedArray/test_maskedarray.py > > Please note that it's still a work in progress (even if it seems to work quite > OK when I use it). Suggestions, comments, improvements and general feedback > are more than welcome ! > > ------------------------------------------------------------------------- > Using Tomcat but need to do more? Need to support web services, security? > Get stuff done quickly with pre-integrated technology to make your job easier > Download IBM WebSphere Application Server v.1.0.1 based on Apache Geronimo > http://sel.as-us.falkag.net/sel?cmd=lnk&kid=120709&bid=263057&dat=121642 > _______________________________________________ > Numpy-discussion mailing list > Numpy-discussion@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/numpy-discussion > ------------------------------------------------------------------------- Using Tomcat but need to do more? Need to support web services, security? Get stuff done quickly with pre-integrated technology to make your job easier Download IBM WebSphere Application Server v.1.0.1 based on Apache Geronimo http://sel.as-us.falkag.net/sel?cmd=lnk&kid=120709&bid=263057&dat=121642 _______________________________________________ Numpy-discussion mailing list Numpy-discussion@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/numpy-discussion