Hi André,

like Jörg already pointed out I am indeed looking for a way to convert
only the 3d surface to bitmap and keep the scalable fonts and axes. I
think such a mix of bitmap and vector parts should be possible in PDF.
As I mentioned, I am aware of the pipeGS method but it's not exactly
what I mean.

Thanks anyway,
benedikt

Am Donnerstag, den 15.05.2008, 10:00 +0200 schrieb André Wobst:
> Hi Benedikt,
> 
> I've used bitmap converted figures before as well. In recent PyX  
> versions you can quite easily create such bitmaps by the pipeGS method  
> of a canvas. Note that jpg and png files created this way can be used  
> in pdfLaTeX directly.
> 
> HTH,
> 
> 
> André
> 
> 
> Am 08.05.2008 um 10:35 schrieb Benedikt Koenig:
> 
> > Hi All,
> >
> > I have a problem concerning the file size of my plots. Producing 3d
> > graphs of my data leads to single PDF files of several MB size.
> > Including these graphs in my paper gives a nice to print document, but
> > it is way to big for easy electronic distribution as PDF. So I was
> > thinking if there is a way to produce these high quality vector  
> > graphics
> > for the print version of the paper but to somehow get some smaller  
> > sized
> > graph files for the electronic version.
> >
> > Currently I am limiting the size by plotting only every x-th point.  
> > But
> > obviously this is a stupid solution if you are lucky enough to have  
> > high
> > resolution data in the first place. Alternatively I could use pipeGS  
> > to
> > produce bitmaps of the complete graph, but I'd rather keep the axes  
> > and
> > text as vectors and only have the actual data as bitmap.
> >
> > My idea is basically to produce the highly resolved 3d graph, then
> > convert the plotted data into a bitmap while keeping axes and text in
> > vector format and then write the whole stuff to a PDF. This should  
> > keep
> > file sizes moderate even if the bitmap has printing quality of around
> > 300 dpi.
> >
> > Are there any opinions on whether some thing like this is possible at
> > all using PyX and if yes, how to do it? Or is there any other way to
> > keep file size small for complexe plots?
> >
> > Thanks already,
> > bene
> >
> >
> >
> >
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