Update performance viz graph

eriknyquist · Aug 8, 2022 · d6c4891 · d6c4891
1 parent b163113
commit d6c4891
Show file tree

Hide file tree

Showing 3 changed files with 9 additions and 6 deletions.
diff --git a/docs/performance_graph.png b/docs/performance_graph.png
diff --git a/extras/performance_graph.png b/extras/performance_graph.png
diff --git a/perf_test/process_output.py b/perf_test/process_output.py
@@ -44,26 +44,29 @@ def main():
     ax1.get_xaxis().set_major_formatter(matplotlib.ticker.FuncFormatter(lambda x, p: format(int(x), ',')))
     ax2.get_yaxis().set_major_formatter(matplotlib.ticker.FormatStrFormatter('%.2f'))
 
-    ax1.set_xlabel("Number of entries in table", weight='bold', color='#ffffff')
-    ax1.set_ylabel("Nanoseconds", weight='bold', color='#ffffff')
-    ax2.set_ylabel("Load factor", weight='bold', color='#ffffff')
+    ax1.set_xlabel("Number of entries in table", weight='bold', color='#ffffff', fontsize=12)
+    ax1.set_ylabel("Nanoseconds", weight='bold', color='#ffffff', fontsize=12)
+    ax2.set_ylabel("Load factor", weight='bold', color='r', fontsize=12)
 
     ax2.plot(entry_counts, load_factors, color='r', linestyle='dotted', label="Load factor")
 
     ax1.plot(entry_counts, retrieve_times, color='limegreen', label="Average item retrieval time (nanoseconds)")
     ax1.plot(entry_counts, badkey_times, color='orange', label="Average time to check for non-existent key (nanoseconds)")
     ax1.plot(entry_counts, insert_times, color='magenta', label="Average item insertion time (nanoseconds)")
-    ax2.legend(bbox_to_anchor=(1,1), loc='upper right', ncol=1)
     ax1.legend(bbox_to_anchor=(0,1), loc='upper left', ncol=1)
 
+    for text in ax2.legend(bbox_to_anchor=(1,1), loc='upper right', ncol=1).get_texts():
+        text.set_color('r')
+
+
     ax2.spines['bottom'].set_color('#ffffff')
     ax2.spines['top'].set_color('#ffffff')
-    ax2.spines['right'].set_color('#ffffff')
+    ax2.spines['right'].set_color('r')
     ax2.spines['left'].set_color('#ffffff')
 
     ax1.tick_params(axis='x', colors='#ffffff')
     ax1.tick_params(axis='y', colors='#ffffff')
-    ax2.tick_params(axis='y', colors='#ffffff')
+    ax2.tick_params(axis='y', colors='r')
 
     plt.show()