elif figure == "badinfo":
plot_heatmap(datas,
fig,
map2badinfo,
"bad info",
flat=args.flat,
grid=grid)
elif figure == "realinfo":
plot_heatmap(datas,
fig,
map2realinfo,
"real info",
flat=args.flat,
grid=grid)
elif figure == "success_avg":
plot_toN(datas, fig, map2success_avg, "Successes")
elif figure == "liarpos":
plot_heatmap(datas,
fig,
map2liarpos_heat,
"liar amount",
flat=args.flat,
grid=grid,
ns=d_list,
ds=list(range(0, 50, 2)) + d_list,
xlabel="run.D",
ylabel="D")
elif figure == "liardepth":
plot_heatmap(datas,
fig,
map2liardepth_heat,
elif figure == "badinfo":
plot_heatmap(datas,
fig,
map2badinfo,
"bad info",
flat=args.flat,
grid=grid)
elif figure == "realinfo":
plot_heatmap(datas,
fig,
map2realinfo,
"real info",
flat=args.flat,
grid=grid)
elif figure == "success_avg":
plot_toN(datas, fig, map2success_avg, "Success probability")
elif figure == "liarpos":
plot_heatmap(datas,
fig,
map2liarpos_heat,
"Error amount (average)",
flat=args.flat,
grid=grid,
ns=d_list,
ds=list(range(0, 50, 2)) + d_list,
xlabel="Dimension of matrix (D)",
ylabel="Index")
elif figure == "liardepth":
plot_heatmap(datas,
fig,
map2liardepth_heat,