Evaluation scripts and images

data/evaluate_gen.jl

@@ -18,7 +18,7 @@ input_file = ARGS[1]
 df = CSV.read(input_file, DataFrame)
 
 # plotting with process size as x axis
-THREADS = [4]
+THREADS = []
 
 for threads in THREADS
     title_string = "n-photon Compton diagram generation, $threads threads"
@@ -145,4 +145,39 @@ for threads in THREADS
 
     savefig("compton_graph_size_versus.pdf")
 
-end
+end
+
+# for a specific process, plot times with threads as x
+process = "ke->kkkkkkkke"
+title_string = "n-photon Compton diagram generation times, $process"
+
+df_filt = filter(:process_name => x -> x == process, df)
+df_filt.graph_gen_mean = @. df_filt.graph_gen_mean / 1e9
+df_filt.graph_gen_std = @. df_filt.graph_gen_std / 1e9
+
+@df df_filt scatter(
+    :cpu_threads,
+    :graph_gen_mean,
+    yerror = :graph_gen_std,
+    label = "graph generation time",
+    markersize = 7,
+)
+
+plot!(
+    title = title_string,
+    yscale = :linear,
+    legend = :outerbottom,
+    minorgrid = true,
+    xticks = :cpu_threads,
+    #yticks = [1e-3, 1e-2, 1e-1, 1e-0, 1e1],
+    ylim = (0, max(df_filt[!, :graph_gen_mean]...) * 1.1),
+    xgrid = false,
+    xminorticks = false,
+    legendcolumns = 1,
+    legend_font_pointsize = 10,
+    size = (800, 600),
+    ylabel = "time (s)",
+    xlabel = "process size (#)",
+)
+
+savefig("gen_times_$(process).pdf")