Update app.py

app.py

@@ -156,6 +156,7 @@ if option == "Team Info" and team_info:
 # 3. Team Stats Comparison
 elif option == "Team Stats Comparison" and selected_teams_stats:
     st.title("Team Stats Comparison")
+
     odi_df['Format'] = 'ODI'
     t20_df['Format'] = 'T20'
     test_df['Format'] = 'Test'
@@ -176,32 +177,35 @@ 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("Bar Chart")
-    fig = px.bar(
+    # Type 1: Line Chart
+    st.subheader("Line Chart")
+    fig_line = px.line(
         selected_data,
         x='Team',
         y=stat_choice,
         color='Team',
-        barmode='group',
+        markers=True,
         title=f"{stat_options[stat_choice]} by Team in {selected_format}"
     )
-    st.plotly_chart(fig, use_container_width=True)
+    st.plotly_chart(fig_line)
 
+    # Type 2: Win % Pie Chart
     st.subheader("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("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)
+    # Type 3: Stacked Bar Chart (Won + Lost + Draw)
+    st.subheader("Stacked Bar Chart (Won, Lost, Draw)")
+    stack_df = selected_data[['Team', 'Won', 'Lost', 'Draw']]
+    stack_df = stack_df.melt(id_vars='Team', var_name='Result', value_name='Count')
+    fig_stack = px.bar(stack_df, x='Team', y='Count', color='Result', barmode='stack')
+    st.plotly_chart(fig_stack)
 
     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}")
 
@@ -254,31 +258,28 @@ elif option == "Player Comparison" and player1 and player2:
     bat1, bowl1 = get_player_data(player1)
     bat2, bowl2 = get_player_data(player2)
 
-    st.subheader("Batting Comparison")
-    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")
-    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()
-        ]
+    # Type 1: Batting Line Chart
+    st.subheader("Batting Line Chart")
+    bat_combined = pd.concat([bat1, bat2])
+    fig_bat_line = px.line(bat_combined, x='Format', y='Runs', color='player_name', markers=True)
+    st.plotly_chart(fig_bat_line)
+
+    # Type 2: Bowling Line Chart
+    st.subheader("Bowling Line Chart")
+    bowl_combined = pd.concat([bowl1, bowl2])
+    fig_bowl_line = px.line(bowl_combined, x='Format', y='Wickets', color='player_name', markers=True)
+    st.plotly_chart(fig_bowl_line)
+
+    # Type 3: Stacked Bar - Combined Batting + Bowling
+    st.subheader("Stacked Bar Chart (Runs + Wickets)")
+    bat_bowl_combined = pd.DataFrame({
+        'player_name': [player1, player2],
+        'Runs': [bat1['Runs'].sum(), bat2['Runs'].sum()],
+        'Wickets': [bowl1['Wickets'].sum(), bowl2['Wickets'].sum()]
     })
-
-    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)
+    bat_bowl_melted = bat_bowl_combined.melt(id_vars='player_name', var_name='Stat', value_name='Value')
+    fig_stacked = px.bar(bat_bowl_melted, x='player_name', y='Value', color='Stat', barmode='stack')
+    st.plotly_chart(fig_stacked)
 
     if st.button("Show Raw Stats"):
         st.dataframe(pd.concat([bat1, bowl1, bat2, bowl2]))
-