[Numpy-discussion] numpy.ma.MaskedArray.min() makes a copy?
Sebastian Berg
sebastian@sipsolutions....
Tue Sep 18 14:24:56 CDT 2012
On Tue, 2012-09-18 at 08:42 -1000, Eric Firing wrote:
> On 2012/09/18 7:40 AM, Benjamin Root wrote:
> >
> >
> > On Fri, Sep 7, 2012 at 12:05 PM, Nathaniel Smith <njs@pobox.com
> > <mailto:njs@pobox.com>> wrote:
> >
> > On 7 Sep 2012 14:38, "Benjamin Root" <ben.root@ou.edu
> > <mailto:ben.root@ou.edu>> wrote:
> > >
> > > An issue just reported on the matplotlib-users list involved a
> > user who ran out of memory while attempting to do an imshow() on a
> > large array. While this wouldn't be totally unexpected, the user's
> > traceback shows that they ran out of memory before any actual
> > building of the image occurred. Memory usage sky-rocketed when
> > imshow() attempted to determine the min and max of the image. The
> > input data was a masked array, and it appears that the
> > implementation of min() for masked arrays goes something like this
> > (paraphrasing here):
> > >
> > > obj.filled(inf).min()
> > >
> > > The idea is that any masked element is set to the largest
> > possible value for their dtype in a copied array of itself, and then
> > a min() is performed on that copied array. I am assuming that max()
> > does the same thing.
> > >
> > > Can this be done differently/more efficiently? If the "filled"
> > approach has to be done, maybe it would be a good idea to make the
> > copy in chunks instead of all at once? Ideally, it would be nice to
> > avoid the copying altogether and utilize some of the special
> > iterators that Mark Weibe created last year.
> >
> > I think what you're looking for is where= support for ufunc.reduce.
> > This isn't implemented yet but at least it's straightforward in
> > principle... otherwise I don't know anything better than
> > reimplementing .min() by hand.
> >
> > -n
> >
> >
> >
> > Yes, it was the where= support that I was thinking of. I take it that
> > it was pulled out of the 1.7 branch with the rest of the NA stuff?
>
> The where= support was left in:
> http://docs.scipy.org/doc/numpy/reference/ufuncs.html
>
It seems though that the keyword argument is still missing from the
ufunc help (`help(np.add)` and individual `np.info(np.add)`) though.
> See also get_ufunc_arguments in ufunc_object.c.
>
> Eric
>
>
> >
> > Ben Root
> >
> >
> >
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> >
>
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