feat: normalize time before plotting

.gitignore

@@ -5,3 +5,5 @@ graph/
 run2.sh run3.sh run.sh
 venv/
 .env
+survey-export.csv
+survey-results.png

plot.py

@@ -9,15 +9,31 @@ conn = psycopg2.connect("postgres://postgres:password@localhost:5420/postgres")
 cur = conn.cursor()
 
 # Execute a query
-cur.execute("SELECT difficulty FROM logs ORDER BY difficulty")# LIMIT 100000")
+cur.execute("SELECT difficulty FROM logs_avg ORDER BY difficulty")  # LIMIT 100000")
 # Retrieve query results
 difficulty = cur.fetchall()
 
-cur.execute("SELECT time FROM logs ORDER BY difficulty")# LIMIT 100000")
+cur.execute("SELECT mean_time FROM logs_avg ORDER BY difficulty")  # LIMIT 100000")
 time = cur.fetchall()
 
+
+def norm(arr) -> [int]:
+    elements = []
+    d = 10**7
+    for (a,) in arr:
+        p = a / d
+        elements.append(p)
+
+    return elements
+
+
+time = norm(time)
+difficulty = norm(difficulty)
+
 # reproducible sample data as a pandas dataframe
-#plt.figure(figsize=(4096, 4096))
+# plt.figure(figsize=(4096, 4096))
 plt.scatter(difficulty, time)
-#cursor(hover=True)
+# cursor(hover=True)
+plt.xlabel("Difficulty Factor (1e7)")
+plt.ylabel("Time (1e7 μs)")
 plt.show()