Refactor team data display in app.py to include total CS metrics and improve formatting. Added display formats for percentage values and enhanced dataframe styling for better visualization in the analysis output.

app.py

@@ -20,6 +20,8 @@ def init_conn():
     
 db, team_names, player_names = init_conn()
 
+display_formats = {'wKill%': '{:.2%}', 'wDeath%': '{:.2%}', 'wAssist%': '{:.2%}', 'lKill%': '{:.2%}', 'lDeath%': '{:.2%}', 'lAssist%': '{:.2%}'}
+
 # Create sidebar container for options
 with st.sidebar:
     st.header("Team Analysis Options")
@@ -57,8 +59,8 @@ def init_team_data(team, win_loss, kill_prediction, death_prediction):
         cursor = collection.find({"teamname": team})
     
         raw_display = pd.DataFrame(list(cursor))
-        raw_display = raw_display[['playername', 'teamname', 'playername_avg_kill_share_win', 'playername_avg_death_share_win', 'playername_avg_assist_share_win', 'playername_avg_cs_share_win', 'playername_avg_kill_share_loss', 'playername_avg_death_share_loss', 'playername_avg_assist_share_loss', 'playername_avg_cs_share_loss']]
-        raw_display = raw_display.rename(columns = {'playername_avg_kill_share_win': 'wKill%', 'playername_avg_death_share_win': 'wDeath%', 'playername_avg_assist_share_win': 'wAssist%', 'playername_avg_cs_share_win': 'wCS%', 'playername_avg_kill_share_loss': 'lKill%', 'playername_avg_death_share_loss': 'lDeath%', 'playername_avg_assist_share_loss': 'lAssist%', 'playername_avg_cs_share_loss': 'lCS%'})
+        raw_display = raw_display[['playername', 'teamname', 'playername_avg_kill_share_win', 'playername_avg_death_share_win', 'playername_avg_assist_share_win', 'playername_avg_total_cs_win', 'playername_avg_kill_share_loss', 'playername_avg_death_share_loss', 'playername_avg_assist_share_loss', 'playername_avg_total_cs_loss']]
+        raw_display = raw_display.rename(columns = {'playername_avg_kill_share_win': 'wKill%', 'playername_avg_death_share_win': 'wDeath%', 'playername_avg_assist_share_win': 'wAssist%', 'playername_avg_total_cs_win': 'wCS', 'playername_avg_kill_share_loss': 'lKill%', 'playername_avg_death_share_loss': 'lDeath%', 'playername_avg_assist_share_loss': 'lAssist%', 'playername_avg_total_cs_loss': 'lCS'})
         team_data = raw_display.drop_duplicates(subset = ['playername'])
 
         if win_loss == "Win":
@@ -71,4 +73,4 @@ def init_team_data(team, win_loss, kill_prediction, death_prediction):
         return team_data
 
 if st.button("Run"):
-    st.dataframe(init_team_data(selected_team, win_loss, kill_prediction, death_prediction))
+    st.dataframe(init_team_data(selected_team, win_loss, kill_prediction, death_prediction).style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(display_formats, precision=2), use_container_width = True)