Update app.py

app.py

@@ -142,7 +142,18 @@ if option == "Team Info" and team_info:
     st.subheader(f"{team_info} Format-wise Statistics")
     team_stats = combined_stats_df[combined_stats_df['Team'] == team_info]
     st.dataframe(team_stats.reset_index(drop=True))
+    st.subheader(f"{team_info} Format-wise Statistics")
+
+    if st.button("Show Format-wise Visualizations"):
+        st.plotly_chart(px.bar(team_stats, x='Format', y='Mat', color='Format', title="Matches by Format"))
+        st.plotly_chart(px.pie(team_stats, values='Won', names='Format', title="Win Distribution by Format"))
+        st.plotly_chart(px.line(team_stats, x='Format', y='W/L', title="Win/Loss Ratio by Format"))
+
+    # if st.button("Show Raw Data"):
+    #     st.dataframe(team_stats.reset_index(drop=True))
+
 
+# 3. Team Stats Comparison
 elif option == "Team Stats Comparison" and selected_teams_stats:
     st.title("Team Stats Comparison")
     odi_df['Format'] = 'ODI'
@@ -165,16 +176,31 @@ elif option == "Team Stats Comparison" and selected_teams_stats:
     }
     stat_choice = st.selectbox("Select Stat to Compare", list(stat_options.keys()), format_func=lambda x: stat_options[x])
 
+    st.subheader("\ud83d\udd39 Type 1: Bar Chart")
     fig = px.bar(
         selected_data,
         x='Team',
         y=stat_choice,
-        color='Format',
+        color='Team',
         barmode='group',
         title=f"{stat_options[stat_choice]} by Team in {selected_format}"
     )
     st.plotly_chart(fig, use_container_width=True)
-    st.dataframe(selected_data.reset_index(drop=True))
+
+    st.subheader("\ud83d\udd39 Type 2: Win Percentage Pie Chart")
+    pie_data = selected_data[['Team', '%W']]
+    fig_pie = px.pie(pie_data, values='%W', names='Team', title='Win % Comparison')
+    st.plotly_chart(fig_pie)
+
+    st.subheader("\ud83d\udd39 Type 3: Radar Chart (Normalized)")
+    radar_data = selected_data[['Team', 'Won', 'Lost', 'Draw']].set_index('Team')
+    radar_data_norm = (radar_data - radar_data.min()) / (radar_data.max() - radar_data.min())
+    radar_data_norm.reset_index(inplace=True)
+    fig_radar = px.line_polar(radar_data_norm, r='Won', theta='Team', line_close=True, title='Normalized Team Stats (Radar)')
+    st.plotly_chart(fig_radar)
+
+    if st.button("Show Raw Data"):
+        st.dataframe(selected_data.reset_index(drop=True))
 
 elif option == "Player Stats" and selected_player:
     st.title(f"Player Dashboard - {selected_player}")
@@ -215,6 +241,7 @@ elif option == "Player Stats" and selected_player:
             st.plotly_chart(px.line(player_bowling, x='Format', y='Eco'))
         st.plotly_chart(px.pie(player_bowling, values='Wickets', names='Format'))
 
+# 4. Player Comparison
 elif option == "Player Comparison" and player1 and player2:
     st.title(f"Player Comparison: {player1} vs {player2}")
 
@@ -228,7 +255,30 @@ elif option == "Player Comparison" and player1 and player2:
     bat2, bowl2 = get_player_data(player2)
 
     st.subheader("Batting Comparison")
-    st.plotly_chart(px.bar(pd.concat([bat1, bat2]), x='Format', y='Runs', color='player_name', barmode='group'))
+    fig_bat = px.bar(pd.concat([bat1, bat2]), x='Format', y='Runs', color='player_name', barmode='group')
+    st.plotly_chart(fig_bat)
 
     st.subheader("Bowling Comparison")
-    st.plotly_chart(px.bar(pd.concat([bowl1, bowl2]), x='Format', y='Wickets', color='player_name', barmode='group'))
+    fig_bowl = px.bar(pd.concat([bowl1, bowl2]), x='Format', y='Wickets', color='player_name', barmode='group')
+    st.plotly_chart(fig_bowl)
+
+    st.subheader("Key Stats Radar")
+    key_stats = pd.DataFrame({
+        'Stat': ['Runs', 'Average', 'Strike Rate', 'Wickets', 'Economy'],
+        player1: [
+            bat1['Runs'].sum(), bat1['Ave'].mean(), bat1['SR'].mean(),
+            bowl1['Wickets'].sum(), bowl1['Eco'].mean()
+        ],
+        player2: [
+            bat2['Runs'].sum(), bat2['Ave'].mean(), bat2['SR'].mean(),
+            bowl2['Wickets'].sum(), bowl2['Eco'].mean()
+        ]
+    })
+
+    fig_radar = px.line_polar(key_stats, r=player1, theta='Stat', line_close=True, title=f'{player1} vs {player2} - Radar Chart')
+    fig_radar.add_scatterpolar(r=key_stats[player2], theta=key_stats['Stat'], line_close=True, name=player2)
+    st.plotly_chart(fig_radar)
+
+    if st.button("Show Raw Stats"):
+        st.dataframe(pd.concat([bat1, bowl1, bat2, bowl2]))
+