When exporting rather complicated plots (especially ListDensityPlot
) as a PDF or EPS (for publication, for example), the resulting file size can be quite large. For
This is exactly the kind of problem for which I wrote the function linked here: http://pages.uoregon.edu/noeckel/computernotes/Mathematica/listContourDensityPlot.html
It's based on the same idea as in Heike's answer -- I just added some more features so that you can safely change the aspect ratio, opacity, and combine with other plots. See my comment in Heike's answer.
To try it with your data, do something like this:
plot = Show[
listContourDensityPlot[data,
PlotRange -> {Automatic, Automatic, {0, 1}},
InterpolationOrder -> 0, Contours -> None],
Graphics[Line[{{500, 500}, {700, 700}}]]]
There are a couple of similar functions linked from the parent page, too.
If you're dealing with 2D plots, you could combine a rasterized plot with vectorized axes by using Inset
. For example
plot2 = ListDensityPlot[data,
PlotRange -> {Automatic, Automatic, {0, 1}},
InterpolationOrder -> 0, Axes -> False, Frame -> False,
PlotRangePadding -> 0];
plotRange = PlotRange /. AbsoluteOptions[plot2, PlotRange];
plot = Graphics[{
Inset[Image[plot2], plotRange[[All, 1]], {Left, Bottom}, Scaled[{.96, .96}]],
Line[{{500, 500}, {700, 700}}]},
Frame -> True, AspectRatio -> 1,
PlotRange -> plotRange, PlotRangePadding -> Scaled[.02]]
Export["test.pdf", plot]
produces a .pdf of about 400 KB. The frame, tick marks, and black line are still vectorized, so they stay sharp when zooming in:
How about just plotting the function rather than making a list?
plot=DensityPlot[Exp[-(f - f0)^2/25^2], {f0, 500, 700}, {f, 300, 900},
Epilog -> {Thick, Line[{{500, 500}, {700, 700}}]}, PlotPoints -> 50]
Export["test.pdf", plot]
file size 1.1MB
If you are exporting as PDF, EPs or WMF, then the text should remain as vectors even if you have a rasterized component to the graphics.
I think the trick is to set the number of plot points to some low number in the ListDensityPlot
command and then export as PDF as normal.