If they are not installed, Sibelius will apply 'Faux Bold' and 'Faux Italic' similar to what Photoshop can do. It seems that Sibelius will use the native bold, italic, and bold+italic styles of a font if they are installed. I have experienced the same results with a number of fonts, and the problem continues at least as far as 2019.4 which I'm running now. 7.1: PDF export italic font problem - Mark Bartschi, 21 Apr 10:06PM 7.1: PDF export italic font problem - Mark Bartschi, 21 Apr 09:51PM

7.1: PDF export italic font problem - Mark Bartschi, 21 Apr 03:26AM 7.1: PDF export italic font problem - Robin Walker, 20 Apr 02:31PM 7.1: PDF export italic font problem - Mark Bartschi, 20 Apr 02:04PM 7.1: PDF export italic font problem - Daniel Spreadbury, 07 Jan 09:30PM 7.1: PDF export italic font problem - Christopher Mayo, 07 Jan 06:52PM

7.1: PDF export italic font problem - Daniel Spreadbury, 20 Dec 02:26PM 7.1: PDF export italic font problem - Hannes Vanlancker, 20 Dec 02:22PM 7.1: PDF export italic font problem - Hannes Vanlancker, 20 Dec 01:52PM Import the new file2.svg (italic axis legend only) into file1.Messages in this thread Sib. Modify file2.svg to keep only the italic axis legend and delete the other layers What I have been able to do thanks to comment:ĭraw my plot with ggplot2 and export it as SVG (with the legend not in italic) in file1.svgĭraw my plot with gridSVG in file2.svg using grid.export('file2.svg') (with error bars not displayed properly but with italic axis legend) saving SVG directly with the plot interface in RStudio, and I have tried both ways described here, using whether ggsave or the Cairo package. and they are not! -) They just come back to plain font. So, as you see, I want the x axis labels to be kept in italic font when exported to SVG. Theme( = element_text(angle=90, vjust=0.8, size=14, colour='black',face='italic') Geom_errorbar(aes(ymin=mean-sd, ymax=mean+sd), width=.2,position=position_dodge(.9)) + Geom_bar(position=position_dodge(), stat='identity', colour='black') + Ggplot(df1, aes(x=as.factor(Gene), y=mean, fill=Species)) + # Gene count1 count2 count3 count4 Species mean sd

library(ggplot2)ĭf

Inkscape font appears italic