improve axis scaling and ticks for benchmark result plots

benchmarks/benchmark-plotters/plot-perf-peakthroughput-bar.py

@@ -68,12 +68,13 @@ def plot_bar(table,node_config,display_x,display_y):
 
     sns.barplot(x=x_label, y=y_label, data=table, palette="mako", errorbar="sd")
 
-    plt.ylim(0, 75)
+    plt.ylim(0, 70)
+    plt.yticks([15,30,45,60,65])
     plt.xlabel(display_x)
     plt.ylabel(display_y)
 
     plt.savefig(os.path.join(output_path, f"plot-{node_config}-throughput.pdf"), bbox_inches='tight')
-    plt.show()
+
 
 def PlotAndrePeakResults():
     data_peakbench_andre = [
@@ -147,10 +148,11 @@ if __name__ == "__main__":
     ]
 
     scaling_df = pd.DataFrame(data_scaling)
-    sns.lineplot(x=x_dsacount, y=y_scaling, data=scaling_df, marker='o', linestyle='-', color='b', markersize=8)
-
+    plt.figure(figsize=(2, 3))
+    fig = sns.lineplot(x=x_dsacount, y=y_scaling, data=scaling_df, marker='o', linestyle='-', color='b', markersize=8)
+    plt.xticks([1,2,4,8])
+    plt.yticks([0.25,0.5,0.75,1.0])
     plt.xlim(0,10)
-    plt.ylim(0,1.25)
+    plt.ylim(0.2,1.05)
     plt.savefig(os.path.join(output_path, f"plot-dsa-throughput-scaling.pdf"), bbox_inches='tight')
-    plt.show()