Vectorised plots
Opened this issue · 8 comments
For the manuscript we need fully vectorized plots.
Please save plots as pdf or svg in 300dpi resolution.
We need:
Thx :)
Is it also enough to just use
plt.savefig("XYZ.svg", dpi=300, ...)
? :)
Mine is done: https://github.com/theislab/ehrapy-reproducibility/blob/main/Supplementary_Figure_1/sup_fig_1_helvetica.pdf
The figure number was changed at some point, I'll rename directory
For Altana (me):
- Fig1 4MB
- Fig2 791KB
- Fig3 5,9MB
- Fig4 877KB
- Fig5 will stay the same
- Fig6 2,8MB
- Fig7
- Supp1 - 582KB
- Supp2 (@VladimirShitov will send a new pdf) 782KB
- Supp3 @Zethson
- Supp4 586KB
- Supp5
- Supp6 455KB
- Supp7 7,9MB
- Supp8
- Supp9
- Supp10D
@Zethson @Imipenem @juzb @eroell before you generate plots via matplotlib, please make sure the text is exported in editable mode. For information, please have a look here:
https://stackoverflow.com/questions/54101529/how-can-i-export-a-matplotlib-figure-as-a-vector-graphic-with-editable-text-fiel
scverse/scanpy#1720
Got it, so in a nutshell add
import matplotlib as mpl
mpl.rcParams['pdf.fonttype'] = 42
mpl.rcParams['ps.fonttype'] = 42
to the beginning of the notebook :)
42 is the answer to everything
New order with fig sizes:
- Fig1 4MB
- Fig2 5,9MB
- Fig3 877KB
- Fig4
- Fig5 2,8MB
- Fig6 2MB
- Supp1 582KB
- Supp2 807KB
- Supp3 418KB
- Supp4 311KB
- Supp5 709KB
- Supp6 516KB
- Supp7 455KB
- Supp8 7,9MB
- Supp9 8MB
- Supp10 471KB