On Tue, Mar 27, 2007 at 05:54:05PM -0400, Pierre GM wrote:
> On Tuesday 27 March 2007 17:42:18 Glen W. Mabey wrote:
> > However, using a memmap for the mask value seems to load the entire
> > object into memory, even if it is already of type bool.
> >
> > How hard would it be to change that behavior?
>
> Oh, I have no idea about that...
Anyone else care to comment on this?
> > Also, it seems that median() is not implemented on masked arrays?
>
> Great minds meet, I just uploaded some very basic stats functions for the new
> implementation of masked array in the scipy SVN.
Whoa. You didn't mean numpy SVN, I take it. So, will numpy.median not
ever take into account the mask?
And, how recently did you upload them? I updated scipy today and I
still get:
In [41]:scipy.stats.median( ma_data[100:,1] )
Out[41]:1989792384.0
In [42]:numpy.median( ma_data[100:,1].filled() )
Out[42]:1989792384.0
In [43]:ma_data[100:,1]
Out[43]:
array(data =
[ 8829714. -1000000. 7007859. ..., 3921109.5 3815157. 4447688. ],
mask =
[False True False ..., False False False],
fill_value=-1000000.0)
> > Is there some method for a masked array like ravel() but that only
> > includes the non-masked values?
>
> Yep, compressed().
Perfect. Thank you.
--
Glen W. Mabey
"Happiness in marriage and parenthood can exceed a thousand times any
other happiness."
-- James Esdras Faust
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