Hi,
When I use matplotlib for a scatter plot with both dots and connecting lines,
the exported eps file is huge, if the distances between many points are small.
I think of this as a bug, since no preview tiff is included in the generated eps
and a variety of text processing applications (including OpenOffice) crash
when I try to import the eps. Ghostscript takes forever, too. Is there anything
that I can do in order to export reasonable eps files?
I am using:
python 2.4.2
matplotlib 0.87.2
numpy 0.9.8
with Linux
The following small example illustrates the problem:
--
import pylab,numpy,ran dom
random.seed()
x=[random.gauss(0, 1)/float(i)**2 for i in xrange(1,100000 0)]
X=numpy.array(x ,numpy.Float32)
pylab.plot(X[1:],X[:-1],"-", c="#eeeeee")
pylab.plot(X[1:],X[:-1],"xk")
pylab.show()
--
The resulting eps file:
-rw-r----- 1 xx users 212190257 Jul 4 09:39 image.eps
Thanks a lot in advance
Martin
1  4780 
Martin Manns wrote:
Hi,
When I use matplotlib for a scatter plot with both dots and connecting
lines, the exported eps file is huge, if the distances between many points
are small. I think of this as a bug, since no preview tiff is included in
the generated eps and a variety of text processing applications (including
OpenOffice) crash when I try to import the eps. Ghostscript takes forever,
too. Is there anything that I can do in order to export reasonable eps
files?
I don't know the answer to your question, but I know the probability of
getting an answer will be a LOT higher if you post on the matplotlib list.
c.l.py is only casually monitored by the mpl devs.
Cheers,
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