Add Hitter_Info integration in app.py to enhance player data processing by including 'Order' and 'Hand' attributes for hitters, improving data analysis capabilities.

app.py

@@ -63,12 +63,19 @@ st.markdown("""
 
 @st.cache_resource(ttl = 60)
 def init_baselines():
+
+    collection = db["Hitter_Info"] 
+    cursor = collection.find()
+    Hitter_info = pd.DataFrame(cursor)
+
     collection = db["Player_Range_Of_Outcomes"] 
     cursor = collection.find()
     player_frame = pd.DataFrame(cursor)
 
     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']), '')
     
     dk_roo = roo_data[roo_data['Site'] == 'Draftkings']
     dk_id_map = dict(zip(dk_roo['Player'], dk_roo['player_ID']))