> "M" == Michael Droettboom writes:
M> Matplotlib will output Type 42 fonts if the rcParam "ps.fonttype"
M> is set to 42.
I read the reply which stated that after sending mine
Sorry for the noise.
-JimC
--
James Cloos OpenPGP: 1024D/ED7DAEA6
-
Matplotlib will output Type 42 fonts if the rcParam "ps.fonttype" is set to 42.
Type 3 is the default because it greatly reduces filesize (it embeds only a
subset of the font), particularly with large Unicode fonts like Vera Sans.
Mike
--
> "M" == Matthias Michler writes:
M> I'm sorry, I'm not an expert in eps-graphics. For me the final pics
M> look good and I have no idea what is different between matplotlib
M> eps-files and eps-files generated somewhere else.
Based exclusively on the eps you posted in this thread, MPL took
http://matplotlib.sourceforge.net/users/usetex.html
"Postscript options
In order to produce encapsulated postscript files that can be embedded
in a new LaTeX document, the default behavior of matplotlib is to
distill the output, which removes some postscript operators used by
LaTeX that are ille
You may want to play with the ps.fonttype parameter. If it's type 3
(the default) only the characters used in the plot are embedded in the
file. If type 42, the entire font is embedded. That may create the
editability that the publisher is asking for.
Mike
Sebastian Busch wrote:
> Matthew C
Matthew Czesarski wrote:
... it seems that MPL rasterizes everything in the
production of its EPS output. Is there any way to get around this ...
hi matt,
i think i know maybe what you mean: if i save a matplotlib figure as
eps and then use pstoedit for further processing with xfig, the
Sometimes, an EPS contains a rasterised "screenshot" of the actual vector
image. E.g. some office products show only the raserised image while editing
the document. When printed, the vector data is used.
Sven
On Thursday 21 January 2010 11:10:00 Pierre de Buyl wrote:
> I believe that MPL produc
I believe that MPL produces vector files.
If you want to check by yourself I suggest that you zoom "at will" on
an eps file. If you cannot observe rasterization artifacts it should
be right.
There is a "rasterized" option that will affect part of a plot but
will leave the text and axes vect
Hey Matt, Hello list,
I'm sorry, I'm not an expert in eps-graphics. For me the final pics look good
and I have no idea what is different between matplotlib eps-files and
eps-files generated somewhere else.
Maybe someone has an idea.
Kind regards,
Matthias
On Thursday 21 January 2010 10:37:32
Hey Matthias,
Oh, I can make eps files themselves no problem...
In as much as I don't really understand the difference between vector and
raster graphics, I was told to submit 89mm images (I can make them 89mm,
fortunately...), with text that can be resized by the graphics department.
For which I
Hi Matt,
I cannot see any difference between matplotlib generated eps and others.
I used the code below to generate the attached eps. Maybe you could be more
specific in what is rasterized in the wrong way. By the way what version of
matplotlib you are using?
Kind regards,
Matthias
import matp
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