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Merge pull request #54 from BlueBrain/plot-blue
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Use black & grey in optimisation plot
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AurelienJaquier authored Sep 26, 2023
2 parents 870edc3 + de790e7 commit d781940
Showing 1 changed file with 2 additions and 2 deletions.
4 changes: 2 additions & 2 deletions bluepyemodel/emodel_pipeline/plotting.py
Original file line number Diff line number Diff line change
Expand Up @@ -173,9 +173,9 @@ def optimisation(
title = get_title(emodel, iteration, seed)
axs[0, 0].set_title(title)

axs[0, 0].plot(ngen, run["logbook"].select("min"), label="Minimum", c="red")
axs[0, 0].plot(ngen, run["logbook"].select("min"), label="Minimum", c="black")

axs[0, 0].plot(ngen, run["logbook"].select("avg"), label="Average", c="black")
axs[0, 0].plot(ngen, run["logbook"].select("avg"), label="Average", c="grey")

axs[0, 0].set_yscale("log")
axs[0, 0].set_xlabel("Number of generations")
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