Enhance team ownership calculations in app.py by filtering for 'main_slate' in DraftKings and FanDuel data, updating ownership metrics, and refining scoring percentages with new calculations for 'DK LevX' and 'FD LevX'.

app.py

@@ -90,20 +90,6 @@ def init_baselines():
     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)
-    dk_hitters_only = dk_roo[dk_roo['pos_group'] != 'Pitchers']
-    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.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')
-    scoring_percentages.rename(columns={'Own%': 'DK Own%'}, inplace=True)
-    scoring_percentages.drop('Team', axis=1, inplace=True)
-    scoring_percentages = scoring_percentages.merge(fd_team_ownership, left_on='Names', right_on='Team', how='left')
-    scoring_percentages.rename(columns={'Own%': 'FD Own%'}, inplace=True)
-    scoring_percentages.drop('Team', axis=1, inplace=True)
-    scoring_percentages['DK LevX'] = scoring_percentages['Top Score'].rank(pct=True).astype(float) - scoring_percentages['DK Own%'].rank(pct=True).astype(float)
-    scoring_percentages['FD LevX'] = scoring_percentages['Top Score'].rank(pct=True).astype(float) - scoring_percentages['FD Own%'].rank(pct=True).astype(float)
     
     return roo_data, sd_roo_data, scoring_percentages, dk_roo, fd_roo, dk_id_map, fd_id_map
 
@@ -293,6 +279,23 @@ with tab1:
     elif slate_var1 != 'Main Slate':
         pass
 
+    dk_hitters_only = dk_roo[dk_roo['pos_group'] != 'Pitchers']
+    dk_hitters_only = dk_hitters_only[dk_hitters_only['Slate'] == 'main_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']
+    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')
+    scoring_percentages.rename(columns={'Own%': 'DK Own%'}, inplace=True)
+    scoring_percentages.drop('Team', axis=1, inplace=True)
+    scoring_percentages = scoring_percentages.merge(fd_team_ownership, left_on='Names', right_on='Team', how='left')
+    scoring_percentages.rename(columns={'Own%': 'FD Own%'}, inplace=True)
+    scoring_percentages.drop('Team', axis=1, inplace=True)
+    scoring_percentages['DK LevX'] = scoring_percentages['Top Score'].rank(pct=True).astype(float) - scoring_percentages['DK Own%'].rank(pct=True).astype(float)
+    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)