Refactor team ownership calculations in app.py to separate DraftKings and FanDuel data processing, enhancing clarity and accuracy in scoring percentages while removing unnecessary columns.

app.py

@@ -87,9 +87,13 @@ def init_baselines():
     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']]
     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)
-    hitters_only = dk_roo[dk_roo['pos_group'] != 'Pitchers']
-    team_ownership = hitters_only.groupby('Team')['Own%'].sum().reset_index()
-    scoring_percentages = scoring_percentages.merge(team_ownership, left_on='Names', right_on='Team', how='left')
+    dk_hitters_only = dk_roo[dk_roo['pos_group'] != 'Pitchers']
+    dk_team_ownership = dk_hitters_only.groupby('Team')['DK Own%'].sum().reset_index()
+    fd_hitters_only = fd_roo[fd_roo['pos_group'] != 'Pitchers']
+    fd_team_ownership = fd_hitters_only.groupby('Team')['FD Own%'].sum().reset_index()
+    scoring_percentages = scoring_percentages.merge(dk_team_ownership, left_on='Names', right_on='Team', how='left')
+    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.drop('Team', axis=1, inplace=True)
     
     return roo_data, sd_roo_data, scoring_percentages, dk_roo, fd_roo