Add Gamelogs tab to display individual game data in app.py

Introduced a new tab to show detailed game logs for players or teams. Modified init_team_data and init_player_data functions to return game log information, and updated the Streamlit interface to render these logs with gradient styling. This enhancement provides users with more granular insights into individual game performances.

app.py

@@ -382,7 +382,7 @@ def init_team_data(game_count, team, opponent, win_loss_settings, kill_predictio
 
             overall_team_data = pd.concat([overall_team_data, team_data])
 
-        return overall_team_data.dropna().set_index('playername'), opp_boosts, results_dict
+        return overall_team_data.dropna().set_index('playername'), opp_boosts, results_dict, player_tables
 
 @st.cache_data(ttl = 60)
 def init_player_data(game_count, players, opponent, win_loss_settings, kill_predictions, death_predictions, start_date, end_date):  
@@ -603,7 +603,7 @@ def init_player_data(game_count, players, opponent, win_loss_settings, kill_pred
 
             overall_team_data = pd.concat([overall_team_data, team_data])
 
-        return overall_team_data.dropna().set_index('playername'), opp_boosts, results_dict
+        return overall_team_data.dropna().set_index('playername'), opp_boosts, results_dict, player_tables
 
 if st.button("Load/Reset Data", key='reset1'):
     st.cache_data.clear()
@@ -612,9 +612,9 @@ if st.button("Load/Reset Data", key='reset1'):
                   
 if st.button("Run"):
     if data_type == "Team":
-        st.session_state.team_data, st.session_state.opp_boost, st.session_state.results_dict = init_team_data(game_count, selected_team, selected_opponent, win_loss_settings, kill_predictions, death_predictions, start_date, end_date)
+        st.session_state.team_data, st.session_state.opp_boost, st.session_state.results_dict, st.session_state.gamelogs = init_team_data(game_count, selected_team, selected_opponent, win_loss_settings, kill_predictions, death_predictions, start_date, end_date)
     else:
-        st.session_state.team_data, st.session_state.opp_boost, st.session_state.results_dict = init_player_data(game_count, selected_players, selected_opponent, win_loss_settings, kill_predictions, death_predictions, start_date, end_date)
+        st.session_state.team_data, st.session_state.opp_boost, st.session_state.results_dict, st.session_state.gamelogs = init_player_data(game_count, selected_players, selected_opponent, win_loss_settings, kill_predictions, death_predictions, start_date, end_date)
 
     st.session_state.player_summary = pd.DataFrame()
     
@@ -695,7 +695,7 @@ if st.button("Run"):
     st.session_state.overall_sim_df = pd.DataFrame(overall_sim_results)
     st.session_state.overall_sim_df = st.session_state.overall_sim_df.drop_duplicates(subset = ['Player', 'Stat'])
 
-tab1, tab2, tab3 = st.tabs(["Overall Data", "Individual Game Data", "Opponent Data"])
+tab1, tab2, tab3, tab4 = st.tabs(["Overall Data", "Individual Game Data", "Opponent Data", "Gamelogs"])
 with tab1:
     if 'player_summary' in st.session_state:
         st.subheader("Full Match Data")
@@ -775,3 +775,9 @@ with tab3:
     if 'opp_boost' in st.session_state:
         st.subheader("Opponent Boosts")
         st.dataframe(st.session_state.opp_boost.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(precision=2), use_container_width = True)
+
+with tab4:
+    if 'gamelogs' in st.session_state:
+        st.subheader("Gamelogs")
+        st.dataframe(st.session_state.gamelogs.head(100).style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(precision=2), use_container_width = True)
+