[SciPy-user] Re: [Numpy-discussion] numarray interface and performance issues(for dot product and transpose)
laytonjb at bellsouth.net
Fri Mar 1 15:59:37 CST 2002
"John J. Lee" wrote:
> On 28 Feb 2002, A.Schmolck wrote:
> > Two important drawbacks of Numeric (python) compared to Matlab
> > currently seem to be the plotting functionality and the availability
> > of specialist libraries (say for pattern recognition problems etc.).
> > However python seems to be quickly catching up in this area (e.g.
> > scipy and other projects are bustling with activity and, as far as I
> > know, there is currently a promising undergraduate project on the way
> > at my university to provide powerful plotting facilities for python).
> some quick matlab graph-alike thing, don't know if any good, haven't used
> I don't much like any of the graphing stuff either, but it's worth looking
> carefully: there are quite a few Python-accessible packages around that
> you may not have noticed: plotutils, gnuplot, dislin, Qwt/Qt, BLT/Pmw,
> Grace, Scigraphica, PGPLOT, PLPLOT, the scipy stuff, probably many others
> (not to mention 3D library wrappers, and image processing stuff, none of
> which I use). None of them are wonderful, but they all have their
> strengths. I use a simple interface to use Qwt, Grace and gnuplot from
> the same Python code, so I can plot stuff in my GUI, then interactive
> fiddling about in Grace or run off a postscript plot with gnuplot -- works
> well for me but certainly not ideal.
I like kmatplot
I haven't really begun to use it in Python, but it's setup for it.
> > There is however a problem that, for the use to which I want to put Numeric,
> > runs deeper and provides me with quite a headache:
> > Two essential matrix operations (matrix-multiplication and transposition
> > (which is what I am mainly using) are both considerably
> > a) less efficient and
> I think someone has already done some ATLAS work with numpy...
> > b) less notationally elegant
> -- not seen any activity for 6 months, but you might find some useful
> stuff there.
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