Enhance data handling in app.py by expanding player data mapping

Updated the renaming of columns in sd_roo_data to include additional ownership metrics. Enhanced the sd_hold_frame with new mappings for 'Order', 'Hand', 'Opp', 'Team_Total', and 'Opp_Total', incorporating error handling for missing values. This change improves data clarity and ensures comprehensive player information is available for further processing.

app.py

@@ -128,7 +128,31 @@ def init_baselines():
 
     sd_roo_data = player_frame.drop(columns=['_id'])
     sd_roo_data['Salary'] = sd_roo_data['Salary'].astype(int)
-    sd_roo_data = sd_roo_data.rename(columns={'Own': 'Own%'})
+    sd_roo_data = sd_roo_data.rename(columns={'Own': 'Own%', 'Small_Own': 'Small Field Own%', 'Large_Own': 'Large Field Own%', 'Cash_Own': 'Cash Own%'})
+    sd_hold_frame = sd_roo_data.copy()
+    
+    sd_hold_frame['Order'] = np.where(sd_hold_frame['pos_group'] == 'Hitters', sd_hold_frame['Player'].map(RHP_Info.set_index('Player')['Order']), 0)
+    sd_hold_frame['Hand'] = np.where(sd_hold_frame['pos_group'] == 'Hitters', sd_hold_frame['Player'].map(RHP_Info.set_index('Player')['bats']), sd_hold_frame['Player'].map(RHH_Info.set_index('Player')['Hand']))
+    try:
+        sd_hold_frame['Opp'] = sd_hold_frame['Team'].map(RHH_Info.drop_duplicates(subset='Team').set_index('Team')['Opp'])
+    except:
+        sd_hold_frame['Opp'] = np.nan
+    try:
+        sd_hold_frame['Team_Total'] = sd_hold_frame['Team'].map(RHH_Info.drop_duplicates(subset='Team').set_index('Opp')['Opp_TT'])
+    except:
+        sd_hold_frame['Team_Total'] = np.nan
+    try:
+        sd_hold_frame['Opp_Total'] = sd_hold_frame['Team'].map(RHH_Info.drop_duplicates(subset='Team').set_index('Team')['Opp_TT'])
+    except:
+        sd_hold_frame['Opp_Total'] = np.nan
+    sd_roo_data.insert(3, 'Opp', sd_hold_frame['Opp'])
+    sd_roo_data.insert(4, 'Hand', sd_hold_frame['Hand'])
+    try:
+        sd_roo_data.insert(5, 'Order', sd_hold_frame['Order'].astype(int))
+    except:
+        sd_roo_data.insert(5, 'Order', sd_hold_frame['Order'])
+    sd_roo_data.insert(6, 'Team_Total', sd_hold_frame['Team_Total'])
+    sd_roo_data.insert(7, 'Opp_Total', sd_hold_frame['Opp_Total'])
 
     collection = db["Scoring_Percentages"] 
     cursor = collection.find()