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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