Start your shift as a server.

Admittedly I’m quite late with the response, but I’ve sent you a mail with my own code for Fig. 2. I’m curious to see if this is the approach you had taken while creating yours.

I’d be glad to stay in contact about this. Feel free to let me know of your website/preferred email whenever convenient.

That colourblind palette is golden, thank you for sharing it. And I was just talking about me wanting have a crack at creating that arrow myself, but thank you for offering to share. I’ll be sure to reach out if I find myself being unable to replicate it.

I wasn’t even talking about tikzplotlib. It’s just that pgf backend is now supported by matplotlib and you can produce pgf files with:

import matplotlib.pyplot as plt
import matplotlib

matplotlib.use('pgf')

fig, ax = plt.subplots()
# Code related to plotting here

fig.savefig("outputfile.pgf")

with relevant rcParams options in matplotlibrc, then import the pgf with:

\begin{figure}[h]
    \centering
      \resizebox{\linewidth}{!}{
        \input{outputfile.pgf}
      }
    \caption{Caption here.}
\end{figure}

But Python -> CSV -> LaTeX/pgf pipeline is quite smooth, for sure. I understand why you’d decide to opt for it without involving too many third-party dependencies.

I’m already thinking about how to replicate that blue arrow in Fig. 2. It looks very clean. And the patterns in the plots do have a pgfplots vibe to it, so that makes sense.

In case you’re not aware, it is also possible to have pgf outputs that preserve scaling with matplotlib with similar serif fonts for the labels that you can specify in matplotlibrc of the project. Hopefully you’d find that useful if you ever decide to use matplotlib beyond some quick plots.

Congratulations on your first first-author publication in a conference. The topic seems very interesting and I have yet to give the paper a good read-through, but I already like how well-presented it is.

Did you use TikZ for the diagrams and matplotlib for the graphs?