Update app.py

app.py

@@ -26,11 +26,13 @@ print(teams)
 
 df_player = pl.concat([
     scraper.get_players(sport_id=1,season=2025,game_type=['R']),
+    scraper.get_players(sport_id=1,season=2024,game_type=['R']),
+    scraper.get_players(sport_id=1,season=2023,game_type=['R']),
     scraper.get_players(sport_id=11,season=2025,game_type=['R']),
     scraper.get_players(sport_id=12,season=2025,game_type=['R']),
     scraper.get_players(sport_id=13,season=2025,game_type=['R']),
     scraper.get_players(sport_id=14,season=2025,game_type=['R']),
-    scraper.get_players(sport_id=22,season=2025,game_type=['R'])
+    scraper.get_players(sport_id=22,season=2024,game_type=['R'])
 ]).unique(subset=['player_id'])
 
 
@@ -126,9 +128,9 @@ def server(input, output, session):
         df_output['bat_throw'] = df_output['batSide'] + '/' + df_output['pitchHand']
         df_output_small = df_output[['position_group','person.id', 'person.fullName',
             'position.abbreviation','team', 'status.code', 'age','weight', 'height', 'bat_throw']]
-        df_output_small['age'] = df_output_small['age'].replace('', np.nan).astype(int)
-        df_output_small['weight'] = df_output_small['weight'].replace('', np.nan).astype(int)
-   
+        df_output_small['age'] = df_output_small['age'].replace('', np.nan).astype('Int64')
+        df_output_small['weight'] = df_output_small['weight'].replace('', np.nan).astype('Int64')
+        
         # # Insert blank rows with position group indicated
         # blank_rows = []
         # for idx, row in df_output_small.iterrows():