Added filtering for midnight

main.py

@@ -4,19 +4,7 @@ import matplotlib.pyplot as plt
 from datetime import datetime
 from collections import defaultdict
 
-with sqlite3.connect("doordash.db") as connection:
-    c = connection.cursor()
-    results = c.execute("select STORE_NAME, DELIVERY_TIME, sum(cast(SUBTOTAL as decimal)) from doordash group by DELIVERY_TIME, STORE_NAME;")
-
-    hours = defaultdict(lambda: [])
-
-    for result in results:
-        try:
-            time = datetime.fromisoformat(result[1])
-            hours[time.hour] = hours[time.hour] + [time]
-        except:
-            pass
-
+def weakness_by_hours(hours):
     keys = list(hours.keys())
     keys.sort()
 
@@ -25,10 +13,46 @@ with sqlite3.connect("doordash.db") as connection:
 
 
     fig, ax = plt.subplots()
+    ax.tick_params(axis='x', labelrotation=45)
     hour_list = keys
     counts = [len(hours.get(key)) for key in hours]
     ax.bar(hour_list, counts)
     ax.set_ylabel("moments of weakness")
     ax.set_title("akshay's moments of weakness")
     plt.show()
+
+class Weakness:
+    def __init__(self, row):
+        self.name = row[0]
+        try: 
+            self.time = datetime.fromisoformat(row[1])
+        except:
+            self.time = datetime.today()
+        self.total = row[2]
+
+def weaknessInAnHour(results):
+    weaknesses = [Weakness(row) for row in results]
+    restaurants = defaultdict(lambda: 0)
+
+    for weakness in weaknesses:
+        if weakness.time.hour == 0:
+            restaurants[weakness.name] += 1
+
+    print(restaurants)
+
+    fig, ax = plt.subplots()
+    plt.xticks(rotation=45, ha='right')
+    ax.bar(restaurants.keys(), restaurants.values())
+    plt.show()
+
     
+
+with sqlite3.connect("doordash.db") as connection:
+    c = connection.cursor()
+    results = c.execute("select STORE_NAME, DELIVERY_TIME, sum(cast(SUBTOTAL as decimal)) from doordash group by DELIVERY_TIME, STORE_NAME;")
+
+    weaknessInAnHour(results)
+
+ 
+
+