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Gewoonolaf

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  1. I could not replicate this using the following in ggsave() function, cariopdf is not a supported graphics device: device = cairopdf However, in ggplot2's ggsave() v3.4.4, 'pdf' is: device = 'pdf' Which fixes the rendering issue for me. Full line: ggsave(file="myplot.svg", plot=p, width=8.3 , height=5,device = 'pdf') OS: Windows 11 Affinity version: Publisher v2.3.1
  2. My thoughts exactly regarding the PANTONE being special; if so, a popup message would be nice. Thanks for suggesting a temp workaround.
  3. When I draw an ellipse, and apply one of the PANTONE swatches, I can't use the opacity slider (see video, it glitches out and keeps jumping back to the maximum value). To be able to adjust the opacity, I have to change the CMYK values slightly (also see video). The same glitch does not occur with stock COLORS swatches. 2023-08-02 13-16-51.mp4 EDIT: Not shown in the video, but the opacity slider in the layer section does work. Some info: I am using Affinity Publisher 2.1.1 (latest version available). Windows 11 The problem happened to me on both existing and new documents. Disabling hardware acceleration does not fix the issue.
  4. Nope I did not actually want to remove it, I had accidentally and noticed it causes the software to crash.
  5. I add a SVG by dragging and dropping it into a new document in Publisher(the SVG in question attached, test.svg). I double-click the embedded SVG to open the embedded version: I switch from Publisher to Design: And use the artboard tool on my embedded SVG. I right-click the artboard in the Layers panel: And click Cut: This causes my program to crash. Some info: I am using Affinity Designer and Publisher 2.1.1 (latest version available). The problem happened to me on both existing and new documents. Disabling hardware acceleration does not fix the issue. test.svg
  6. Issue may be related to matplotlib.pyplot rcParams. p.get_figure().savefig("testgetfig.svg", dpi=1200, bbox_inches="tight") In Affinity 2.1.0: plt.rcParams['svg.fonttype'] = 'none' p.get_figure().savefig("testgetfig.svg", dpi=1200, bbox_inches="tight") In Affinity 2.1.0: Solution found here: https://stackoverflow.com/questions/34387893/output-matplotlib-figure-to-svg-with-text-as-text-not-curves Full code: import seaborn as sn import matplotlib.pylab as plt sn.set(rc={'figure.figsize':(13.3, 7.5)}) plt.style.use('bmh') p = sn.histplot(dfNumberPerRepAndJarWithZero, x = 'numberOfNemsOnRep', hue = 'GeneID', legend=False, element='bars',kde=True,line_kws ={'alpha':1}, alpha=0.2) plt.rcParams['svg.fonttype'] = 'none' p.get_figure().savefig("testgetfig.svg", dpi=1200, bbox_inches="tight") I am on windows btw
  7. Just an update, its all sorted. I have to say the customer service and the help you can get on the forums is truely amazing!
  8. I have bought V2 for affinity design as I didn't think I needed the other programs. I recently discovered how good affinity publisher was, so I also bought that license. And I have now bought an ipad... So now that circumstances have changed, the V2 Universal Licence is very appealing, but I don't want to rebuy the licences for the same programs again. Is there any way to upgrade? Many thanks, Olaf
  9. @Dan C This is brilliant, thank you so much for the reply and the video. Now that I look at it, it is actually very intuitive.
  10. I would like to crop multiple layers using the same crop. In essence I want to corp the images all to the same size. I want to then be able to take the cropped images and rearange them spread out over my workspace. I tried grouping them together but this doesn't allow be to downstream move the images around. Any ideas on how to approach this?
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