Refactor app.py to remove duplicate player entries in NFL datasets. Added drop_duplicates method for 'Player' in both nfl_dk_sd_raw and nfl_fd_sd_raw DataFrames, enhancing data integrity and ensuring unique player projections.

app.py

@@ -60,6 +60,7 @@ def init_baselines():
     raw_display = raw_display.loc[raw_display['Median'] > 0]
     raw_display = raw_display.apply(pd.to_numeric, errors='ignore')
     nfl_dk_sd_raw = raw_display.sort_values(by='Median', ascending=False)
+    nfl_dk_sd_raw = nfl_dk_sd_raw.drop_duplicates(subset=['Player'])
     
     collection = nfl_db["FD_SD_NFL_ROO"] 
     cursor = collection.find()
@@ -70,6 +71,7 @@ def init_baselines():
     raw_display = raw_display.loc[raw_display['Median'] > 0]
     raw_display = raw_display.apply(pd.to_numeric, errors='ignore')
     nfl_fd_sd_raw = raw_display.sort_values(by='Median', ascending=False)
+    nfl_fd_sd_raw = nfl_fd_sd_raw.drop_duplicates(subset=['Player'])
     try:
         nba_timestamp = nba_dk_sd_raw['timestamp'].values[0]
     except: