Francesc Alted wrote:
> > > Numexpr is a fast numerical expression evaluator for NumPy. With
> > > it, expressions that operate on arrays (like "3*a+4*b") are
> > > accelerated and use less memory than doing the same calculation in
> > > Python.
>
> > Please pardon my ignorance as I know this pro
I have implemented an iterative gaussian smoothing approach that is
working well for my purposes. My approach uses a median filter to
populate the initial values and then runs a few passes with gaussian
smoothing. This works very well for the missing values that I care
about within the f
On Sat, Jan 17, 2009 at 11:44 PM, Robert Kern wrote:
> On Sat, Jan 17, 2009 at 22:35, Darren Dale wrote:
> >
> > On Sat, Jan 17, 2009 at 11:23 PM, Robert Kern
> wrote:
> >>
> >> On Sat, Jan 17, 2009 at 22:06, Darren Dale wrote:
> >> > Hello,
> >> >
> >> > Would someone be so kind as to explain
This is not the first time this issue is raised here.
You may try this piece of code, which may take less memory:
(A*x).sum(axis=1).T
Nadav
-הודעה מקורית-
מאת: numpy-discussion-boun...@scipy.org בשם Gideon Simpson
נשלח: א 18-ינואר-09 07:30
אל: Discussion of Numerical Python
נושא: [Nu