Integrate pitcher information into baseline initialization by adding LHH and RHH dataframes. Update player hand mapping logic to accommodate both left-handed and right-handed hitters, enhancing overall data accuracy for player statistics.

app.py

@@ -36,6 +36,13 @@ def init_baselines():
     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["Pitcher_Info"] 
+    cursor = collection.find()
+    Pitcher_info = pd.DataFrame(cursor)
+    Pitcher_info = Pitcher_info.rename(columns={'Names':'Player'})
+    LHH_Info = Pitcher_info[Pitcher_info['Set'] == 'LHH'].drop_duplicates(subset=['Player'])
+    RHH_Info = Pitcher_info[Pitcher_info['Set'] == 'RHH'].drop_duplicates(subset=['Player'])
+
     collection = db["Player_Range_Of_Outcomes"] 
     cursor = collection.find()
     player_frame = pd.DataFrame(cursor)
@@ -45,7 +52,7 @@ def init_baselines():
     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']), 0)
-    hold_frame['Hand'] = np.where(hold_frame['pos_group'] == 'Hitters', hold_frame['Player'].map(RHP_Info.set_index('Player')['bats']), 'Pitcher')
+    hold_frame['Hand'] = np.where(hold_frame['pos_group'] == 'Hitters', hold_frame['Player'].map(RHP_Info.set_index('Player')['bats']), hold_frame['Player'].map(RHH_Info.set_index('Player')['Hand']))
 
     roo_data.insert(3, 'Hand', hold_frame['Hand'])
     roo_data.insert(4, 'Order', hold_frame['Order'].astype(int))