Update 'Order' column handling in app.py to replace empty strings with NaN for improved data integrity, and ensure proper type conversion for consistency in player data processing.

app.py

@@ -78,11 +78,12 @@ def init_baselines():
     roo_data['Salary'] = roo_data['Salary'].astype(int)
     hold_frame = roo_data.copy()
     
-    hold_frame['Order'] = np.where(hold_frame['pos_group'] == 'Hitters', hold_frame['Player'].map(RHP_Info.set_index('Player')['Order']), '')
+    hold_frame['Order'] = np.where(hold_frame['pos_group'] == 'Hitters', hold_frame['Player'].map(RHP_Info.set_index('Player')['Order']), np.nan)
     hold_frame['Hand'] = np.where(hold_frame['pos_group'] == 'Hitters', hold_frame['Player'].map(RHP_Info.set_index('Player')['bats']), '')
 
     roo_data.insert(3, 'Hand', hold_frame['Hand'])
     roo_data.insert(4, 'Order', hold_frame['Order'].astype(int))
+    roo_data['Order'] = roo_data['Order'].fillna('')
     
     dk_roo = roo_data[roo_data['Site'] == 'Draftkings']
     dk_id_map = dict(zip(dk_roo['Player'], dk_roo['player_ID']))