Refactor Hitter_Info integration in app.py to separate LHP and RHP data, ensuring accurate mapping of 'Order' and 'Hand' attributes for hitters, enhancing data processing and analysis capabilities.

app.py

@@ -67,6 +67,8 @@ def init_baselines():
     collection = db["Hitter_Info"] 
     cursor = collection.find()
     Hitter_info = pd.DataFrame(cursor)
+    LHP_Info = Hitter_info[Hitter_info['Set'] == 'LHP'].drop_duplicates(subset=['Player'])
+    RHP_Info = Hitter_info[Hitter_info['Set'] == 'RHP'].drop_duplicates(subset=['Player'])
 
     collection = db["Player_Range_Of_Outcomes"] 
     cursor = collection.find()
@@ -74,8 +76,8 @@ def init_baselines():
 
     roo_data = player_frame.drop(columns=['_id'])
     roo_data['Salary'] = roo_data['Salary'].astype(int)
-    roo_data['Order'] = np.where(roo_data['pos_group'] == 'Hitters', roo_data['Player'].map(Hitter_info.set_index('Player')['Order']), '')
-    roo_data['Hand'] = np.where(roo_data['pos_group'] == 'Hitters', roo_data['Player'].map(Hitter_info.set_index('Player')['bats']), '')
+    roo_data['Order'] = np.where(roo_data['pos_group'] == 'Hitters', roo_data['Player'].map(RHP_Info.set_index('Player')['Order']), '')
+    roo_data['Hand'] = np.where(roo_data['pos_group'] == 'Hitters', roo_data['Player'].map(RHP_Info.set_index('Player')['bats']), '')
     
     dk_roo = roo_data[roo_data['Site'] == 'Draftkings']
     dk_id_map = dict(zip(dk_roo['Player'], dk_roo['player_ID']))