Update scoring percentages and filtering logic in app.py to accommodate multiple slate types for DraftKings and FanDuel, enhancing data accuracy and user experience.

app.py

@@ -87,7 +87,8 @@ def init_baselines():
     cursor = collection.find()
     team_frame = pd.DataFrame(cursor)
     scoring_percentages = team_frame.drop(columns=['_id'])
-    scoring_percentages = scoring_percentages[['Names', 'Avg First Inning', 'First Inning Lead Percentage', 'Avg Fifth Inning', 'Fifth Inning Lead Percentage', 'Avg Score', '8+ runs', 'Win Percentage', 'Slate', 'Top Score']]
+    scoring_percentages = scoring_percentages[['Names', 'Avg First Inning', 'First Inning Lead Percentage', 'Avg Fifth Inning', 'Fifth Inning Lead Percentage', 'Avg Score', '8+ runs', 'Win Percentage',
+    'Main Slate', 'Secondary Slate', 'Turbo Slate', 'Top Score']]
     scoring_percentages['8+ runs'] = scoring_percentages['8+ runs'].replace('%', '', regex=True).astype(float)
     scoring_percentages['Win Percentage'] = scoring_percentages['Win Percentage'].replace('%', '', regex=True).astype(float)
     scoring_percentages['Top Score'] = scoring_percentages['Top Score'].replace('', np.nan).astype(float)
@@ -276,16 +277,28 @@ with tab1:
             own_var1 = st.radio("How would you like to display team ownership?", ('Sum', 'Average'), key='own_var1')
     
     if slate_var1 == 'Main Slate':
-        scoring_percentages = scoring_percentages[scoring_percentages['Slate'] == 'Main']
-    elif slate_var1 != 'Main Slate':
-        pass
+        scoring_percentages = scoring_percentages[scoring_percentages['Main Slate'] == 1]
+    elif slate_var1 == 'Secondary Slate':
+        scoring_percentages = scoring_percentages[scoring_percentages['Secondary Slate'] == 1]
+    elif slate_var1 == 'Turbo Slate':
+        scoring_percentages = scoring_percentages[scoring_percentages['Turbo Slate'] == 1]
 
     dk_hitters_only = dk_roo[dk_roo['pos_group'] != 'Pitchers']
-    dk_hitters_only = dk_hitters_only[dk_hitters_only['Slate'] == 'main_slate']
+    if slate_var1 == 'Main Slate':
+        dk_hitters_only = dk_hitters_only[dk_hitters_only['Slate'] == 'main_slate']
+    elif slate_var1 == 'Secondary Slate':
+        dk_hitters_only = dk_hitters_only[dk_hitters_only['Slate'] == 'secondary_slate']
+    elif slate_var1 == 'Turbo Slate':
+        dk_hitters_only = dk_hitters_only[dk_hitters_only['Slate'] == 'turbo_slate']
     dk_hitters_only = dk_hitters_only.replace('CWS', 'CHW')
     dk_team_ownership = dk_hitters_only.groupby('Team')['Own%'].sum().reset_index()
     fd_hitters_only = fd_roo[fd_roo['pos_group'] != 'Pitchers']
-    fd_hitters_only = fd_hitters_only[fd_hitters_only['Slate'] == 'main_slate']
+    if slate_var1 == 'Main Slate':
+        fd_hitters_only = fd_hitters_only[fd_hitters_only['Slate'] == 'main_slate']
+    elif slate_var1 == 'Secondary Slate':
+        fd_hitters_only = fd_hitters_only[fd_hitters_only['Slate'] == 'secondary_slate']
+    elif slate_var1 == 'Turbo Slate':
+        fd_hitters_only = fd_hitters_only[fd_hitters_only['Slate'] == 'turbo_slate']
     fd_hitters_only = fd_hitters_only.replace('CWS', 'CHW')
     fd_team_ownership = fd_hitters_only.groupby('Team')['Own%'].sum().reset_index()
     scoring_percentages = scoring_percentages.merge(dk_team_ownership, left_on='Names', right_on='Team', how='left')
@@ -298,7 +311,7 @@ with tab1:
     scoring_percentages['FD LevX'] = scoring_percentages['Top Score'].rank(pct=True).astype(float) - scoring_percentages['FD Own%'].rank(pct=True).astype(float)
 
     scoring_percentages = scoring_percentages.sort_values(by='8+ runs', ascending=False)
-    scoring_percentages = scoring_percentages.drop('Slate', axis=1)
+    scoring_percentages = scoring_percentages.drop(['Main Slate', 'Secondary Slate', 'Turbo Slate'], axis=1)
     
     if view_var == "Simple":
         scoring_percentages = scoring_percentages[['Names', 'Avg Score', '8+ runs', 'Win Percentage']]