Refactor app.py to include 'player_id' in the raw_display DataFrame. This change enhances data structure for player projections, ensuring better integration with subsequent data processing and analysis.

app.py

@@ -45,8 +45,7 @@ def init_baselines():
 
     raw_display = pd.DataFrame(list(cursor))
     raw_display = raw_display[['Player', 'Minutes Proj', 'Position', 'Team', 'Opp', 'Salary', 'Floor', 'Median', 'Ceiling', 'Top_finish', 'Top_5_finish', 'Top_10_finish', '20+%', '4x%', '5x%', '6x%', 'GPP%',
-                               'Own', 'Small_Own', 'Large_Own', 'Cash_Own', 'CPT_Own', 'LevX', 'ValX', 'site', 'version', 'slate', 'timestamp']]
-    raw_display['player_id'] = raw_display['Player'] ##### Need to fix this later on
+                               'Own', 'Small_Own', 'Large_Own', 'Cash_Own', 'CPT_Own', 'LevX', 'ValX', 'site', 'version', 'slate', 'timestamp', 'player_id']]
     raw_display = raw_display.loc[raw_display['Median'] > 0]
     raw_display = raw_display.sort_values(by='Median', ascending=False)
     nba_dk_sd_raw = raw_display[raw_display['site'] == 'Draftkings']