Le 22/08/2018 à 18:53, Samuel Gougeon a écrit :
Hello Antoine,
Le 22/08/2018 à 15:19, [email protected] a écrit :
Hi all,
xs2svg is not working well with big grayplots: the resulting svg file
is too big and contains too many elements to be usable. Worse, for
really big grayplots, the export fails (not enought memory).
As an example, the following code:
grayplot()
h=gcf();
xs2svg(h,'grayplot.svg');
results in a 3.7MB svg file with 93784 elements that cannot be edited
with Inkscape.
The issue is that xs2svg renders each patch of the grayplot using two
svg filled triangles.
In "he who must not be named"¹, the svg export is using a more
pragmatic approach: everything is rendered as svg path/text/whatever,
except from the intensity maps (grayplots, surf, ...) that are
rendered as bmp and included in the svg file.
This way, the svg file is really light, can be tweaked with any svg
compliant software (inkscape) and the result is really good.
In practice, to get publication-quality grayplots, I tend to do the
following:
-hide the grayplot, keep all the rest, export to svg,
-hide everything but the grayplot, export to png,
-use inkscape to include the png of the grayplot and hand-place it in
the svg.
Do you remember Calixte's answer to you about this topic in 2012?:
http://bugzilla.scilab.org/show_bug.cgi?id=11195#c1
Her, to be honest, no, I dit not remember.
But Matplot() and Matplot1() are not decent solutions, just workarounds
as they are way more limited than surf(), Sgrayplot(), contourf()...
In particular, you cannot specify x-axis and y-axis scales using
vectors, which is essential for experimental dataset that are not always
regularly spaced in x- and y-.
Thanks for refreshing my memory.
But it means the solution exists: can't we use the same approach for
other "intensity maps"?
Antoine
Cheers
Samuel
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