Axel,
thank you! This is the best approach I tried so far and et works like a
charm. After you last post I gave your proposition some thought but
obviously I was not aware of the benefits of the bbox()-methods. Without
them, correct placing of the bitmap is a real pain. With them, it's so
easy!
Thank you again!
regards,
benedikt
Am Sonntag, den 18.05.2008, 13:42 +0200 schrieb Axel Freyn:
> Hello,
>
> I tried to find a solution now - and I have one:
> In fact it's really easy: just plot two graphs. For the first one, the
> text-color and the color of the axes is set to white. This graph is then
> converted to a jpeg by pipeGS.
> The second graph gets the axes-sizes (min and max values for each axes, total
> size of the Graph) from the first graph. Nothing is plotted in this graph,
> just the jpg-File from the first graph is included.
> With that, the axes and the text are plotted as vectors, and the surface is
> plotted as a jpeg. The same should also work for all types of 2d-graphs.
> For the example "surface.py", the following code works:
>
> from pyx import *
>
> col = color.gray.white
>
> whitetext=text.texrunner()
> whitetext.set(mode="latex")
> whitetext.preamble(r"\usepackage{color}")
> whitetext.preamble(r"\definecolor{COL}{gray}{1}")
> axis_texter =
> graph.axis.texter.decimal(prefix=r"\textcolor{COL}{",suffix=r"}")
> paint=graph.axis.painter.regular(
> texrunner = whitetext,
> basepathattrs = [color.gray.white],
> tickattrs = [color.gray.white]
> )
> g1 = graph.graphxyz(size=4, x2=None, y2=None,
> x = graph.axis.linear(painter=paint,texter = axis_texter),
> y = graph.axis.linear(painter=paint,texter = axis_texter),
> z = graph.axis.linear(painter=paint,texter = axis_texter),
> )
> g1.plot(graph.data.file("surface.dat", x=1, y=2, z=3),
> [graph.style.surface()])
> g1.pipeGS("surface_tmp.jpg")
> c = canvas.canvas()
> g2 = graph.graphxyz(size=4, x2=None, y2=None,
> x = graph.axis.linear(
> min = g1.axes["x"].data.min, max = g1.axes["x"].data.max),
> y = graph.axis.linear(
> min = g1.axes["y"].data.min, max = g1.axes["y"].data.max),
> z = graph.axis.linear(
> min = g1.axes["z"].data.min, max = g1.axes["z"].data.max),
> )
> g2.insert(bitmap.bitmap(g1.bbox().left(), g1.bbox().bottom(),
> bitmap.jpegimage("surface_tmp.jpg"),
> height=g1.bbox().height(), compressmode=None))
> g2.writeEPSfile("surface")
> g2.writePDFfile("surface")
>
> HTH,
> Axel
>
> On Fri, May 16, 2008 at 10:12:31AM +0200, Axel Freyn wrote:
> > Hi all,
> >
> > may be one possibility would be to write a subroutine which separates text
> > and images, and then convert the image-part using pipeGS, and add the
> > text-part on top of it?
> > I'm thinking of a code like
> > text_items=[]
> > graph_items=[]
> > for item in canvas.items:
> > if item.__class__.__name__ == "textbox":
> > text_items.append(item)
> > else:
> > if item.__class__.__name__ == "graphxy":
> > item.dolayout()
> > # loop over all sub-elements of this graphxy and remove all texts
> > ...
> > else:
> > graph_items.append(item)
> > graph_canvas = canvas.canvas()
> > graph_canvas.items = graph_items
> > text_canvas = canvas.canvas()
> > text_canvas = text_items
> >
> > graph_canvas.insert(text_canvas)
> >
> > Well, there mightl be some problems to code, as you have to loop recursively
> > over all elements (if you include a canvas into another canvas), and you
> > have to think about the internals of e.g. graphxy (I don't know how to
> > remove there all text - may be changing recursively all texter's of the
> > objects? And how to calculate this text and add it to the other list?), or
> > what to do with transformations,...
> >
> > What do you think about it? May be it could be nice to have such a
> > subroutine integrated in regular PyX - especially for 3D-Plots, or am I
> > missing something?
> >
> > Axel
> >
> > On Fri, May 16, 2008 at 8:50 AM, Benedikt Koenig <[EMAIL PROTECTED]> wrote:
> >
> > > 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
> > > > >
> > > > >
> > > > >
> > > > >
> > > > >
> > > -------------------------------------------------------------------------
> > > > > This SF.net email is sponsored by the 2008 JavaOne(SM) Conference
> > > > > Don't miss this year's exciting event. There's still time to save
> > > > > $100.
> > > > > Use priority code J8TL2D2.
> > > > >
> > > http://ad.doubleclick.net/clk;198757673;13503038;p?http://java.sun.com/javaone
> > > > > _______________________________________________
> > > > > PyX-user mailing list
> > > > > [email protected]
> > > > > https://lists.sourceforge.net/lists/listinfo/pyx-user
> > > > >
> > > >
> > >
> > >
> > > -------------------------------------------------------------------------
> > > This SF.net email is sponsored by: Microsoft
> > > Defy all challenges. Microsoft(R) Visual Studio 2008.
> > > http://clk.atdmt.com/MRT/go/vse0120000070mrt/direct/01/
> > > _______________________________________________
> > > PyX-user mailing list
> > > [email protected]
> > > https://lists.sourceforge.net/lists/listinfo/pyx-user
> > >
> -------------------------------------------------------------------------
> This SF.net email is sponsored by: Microsoft
> Defy all challenges. Microsoft(R) Visual Studio 2008.
> http://clk.atdmt.com/MRT/go/vse0120000070mrt/direct/01/
> _______________________________________________ PyX-user mailing list
> [email protected]
> https://lists.sourceforge.net/lists/listinfo/pyx-user
-------------------------------------------------------------------------
This SF.net email is sponsored by: Microsoft
Defy all challenges. Microsoft(R) Visual Studio 2008.
http://clk.atdmt.com/MRT/go/vse0120000070mrt/direct/01/
_______________________________________________
PyX-user mailing list
[email protected]
https://lists.sourceforge.net/lists/listinfo/pyx-user
