Refactor app.py to ensure unique player entries across multiple DataFrames. Removed duplicate player entries in nfl_dk_sd_raw, nfl_fd_sd_raw, display_Proj, and display_baselines DataFrames by implementing drop_duplicates method for 'Player'. This enhancement improves data integrity and consistency in player projections.

app.py

@@ -60,7 +60,6 @@ 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()
@@ -71,7 +70,6 @@ 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:
@@ -145,7 +143,8 @@ with tab1:
   
         with hold_container:
             hold_container = st.empty()
-            display_Proj = display_Proj
+            display_Proj = display_Proj.drop_duplicates(subset=['Player'])
+
             if sport_var2 == 'NBA':
                 st.dataframe(display_Proj.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(nba_player_roo_format, precision=2), height=1000, use_container_width = True)
             elif sport_var2 == 'NFL':
@@ -245,7 +244,8 @@ with tab2:
         display_baselines = display_baselines.sort_values(by='Median', ascending=False)
         display_baselines['cpt_lock'] = np.where(display_baselines['Player'].isin(lock_var1), 1, 0)
         display_baselines['lock'] = np.where(display_baselines['Player'].isin(lock_var2), 1, 0)
-          
+        display_baselines = display_baselines.drop_duplicates(subset=['Player'])
+
         st.session_state.display_baselines = display_baselines.copy()
         st.session_state.export_baselines = export_baselines.copy()