Update pages/1_Player_Stats.py

pages/1_Player_Stats.py

@@ -21,45 +21,49 @@ def plot_matches_pie(player_data):
         'Matches': [player_data['Matches_Test'], player_data['Matches_ODI'], player_data['Matches_T20'], player_data['Matches_IPL']]
     }
     df_matches = pd.DataFrame(matches_stats)
-    fig_matches = px.pie(df_matches, names='Format', values='Matches', title=f"{player_data['Player']} - Matches Played")
+    fig_matches = px.pie(df_matches, names='Format', values='Matches', 
+                         title=f"🏏 {player_data['Player']} - Matches Played 🎯",
+                         hover_data=['Matches'], labels={'Matches': 'Matches Played'})
+    fig_matches.update_traces(textinfo='percent+label', hoverinfo='label+value+percent')
     st.plotly_chart(fig_matches, key="matches_pie")
 
-# Batting function (unchanged)
+# Batting function with emojis and interactivity
 def plot_batting_stats(player_data):
     batting_stats = {
         'Format': ['Test', 'ODI', 'T20', 'IPL'],
         'Runs': [player_data['batting_Runs_Test'], player_data['batting_Runs_ODI'], player_data['batting_Runs_T20'], player_data['batting_Runs_IPL']],
         'Average': [player_data['batting_Average_Test'], player_data['batting_Average_ODI'], player_data['batting_Average_T20'], player_data['batting_Average_IPL']],
         'Sixes': [player_data['batting_Sixes_Test'], player_data['batting_Sixes_ODI'], player_data['batting_Sixes_T20'], player_data['batting_Sixes_IPL']],
-        'Fours': [player_data['batting importan['batting_Fours_Test'], player_data['batting_Fours_ODI'], player_data['batting_Fours_T20'], player_data['batting_Fours_IPL']]
+        'Fours': [player_data['batting_Fours_Test'], player_data['batting_Fours_ODI'], player_data['batting_Fours_T20'], player_data['batting_Fours_IPL']]
     }
     df_batting = pd.DataFrame(batting_stats)
     
     # Runs
-    fig_runs = px.bar(df_batting, x='Format', y='Runs', title=f"{player_data['Player']} - Runs",
-                      color='Format', text=df_batting['Runs'].round(0))
-    fig_runs.update_traces(textposition='auto')
+    fig_runs = px.bar(df_batting, x='Format', y='Runs', title=f"🏃‍♂️ {player_data['Player']} - Runs Scored 💯",
+                      color='Format', text=df_batting['Runs'].round(0), hover_data=['Runs'])
+    fig_runs.update_traces(textposition='auto', hovertemplate='%{x}<br>Runs: %{y}')
     st.plotly_chart(fig_runs, key="batting_runs")
 
     # Average
-    fig_avg = px.bar(df_batting, x='Format', y='Average', title=f"{player_data['Player']} - Batting Average",
-                     color='Format', text=df_batting['Average'].round(2))
-    fig_avg.update_traces(textposition='auto')
+    fig_avg = px.bar(df_batting, x='Format', y='Average', title=f"📊 {player_data['Player']} - Batting Average ⭐",
+                     color='Format', text=df_batting['Average'].round(2), hover_data=['Average'])
+    fig_avg.update_traces(textposition='auto', hovertemplate='%{x}<br>Avg: %{y}')
     st.plotly_chart(fig_avg, key="batting_avg")
 
     # Sixes
-    fig_sixes = px.bar(df_batting, x='Format', y='Sixes', title=f"{player_data['Player']} - Sixes",
-                       color='Format', text=df_batting['Sixes'].round(0))
-    fig_sixes.update_traces(textposition='auto')
+    fig_sixes = px.bar(df_batting, x='Format', y='Sixes', title=f"🔥 {player_data['Player']} - Sixes 🚀",
+                       color='Format', text=df_batting['Sixes'].round(0), hover_data=['Sixes'])
+    fig_sixes.update_traces(textposition='auto', hovertemplate='%{x}<br>Sixes: %{y}')
     st.plotly_chart(fig_sixes, key="batting_sixes")
 
     # Fours
-    fig_fours = px.bar(df_batting, x='Format', y='Fours', title=f"{player_data['Player']} - Fours",
-                       color='Format', text=df_batting['Fours'].round(0))
-    fig_fours.update_traces(textposition='auto')
+    fig_fours = px.bar(df_batting, x='Format', y='Fours', title=f"🎯 {player_data['Player']} - Fours ⚡",
+                       color='Format', text=df_batting['Fours'].round(0), hover_data=['Fours'])
+    fig_fours.update_traces(textposition='auto', hovertemplate='%{x}<br>Fours: %{y}')
     st.plotly_chart(fig_fours, key="batting_fours")
 
-# Bowling function with new plot (Strike Rate)
+
+# Bowling function with emojis and interactivity
 def plot_bowling_stats(player_data):
     bowling_stats = {
         'Format': ['Test', 'ODI', 'T20', 'IPL'],
@@ -71,60 +75,67 @@ def plot_bowling_stats(player_data):
     df_bowling = pd.DataFrame(bowling_stats)
     
     # Wickets
-    fig_wickets = px.bar(df_bowling, x='Format', y='Wickets', title=f"{player_data['Player']} - Wickets",
-                         color='Format', text=df_bowling['Wickets'].round(0))
-    fig_wickets.update_traces(textposition='auto')
+    fig_wickets = px.bar(df_bowling, x='Format', y='Wickets', title=f"🎳 {player_data['Player']} - Wickets Taken 🏆",
+                         color='Format', text=df_bowling['Wickets'].round(0), hover_data=['Wickets'])
+    fig_wickets.update_traces(textposition='auto', hovertemplate='%{x}<br>Wickets: %{y}')
     st.plotly_chart(fig_wickets, key="bowling_wickets")
 
     # Average
-    fig_avg = px.bar(df_bowling, x='Format', y='Average', title=f"{player_data['Player']} - Bowling Average",
-                     color='Format', text=df_bowling['Average'].round(2))
-    fig_avg.update_traces(textposition='auto')
+    fig_avg = px.bar(df_bowling, x='Format', y='Average', title=f"📈 {player_data['Player']} - Bowling Average 🌟",
+                     color='Format', text=df_bowling['Average'].round(2), hover_data=['Average'])
+    fig_avg.update_traces(textposition='auto', hovertemplate='%{x}<br>Avg: %{y}')
     st.plotly_chart(fig_avg, key="bowling_avg")
 
     # Economy Rate
-    fig_eco = px.line(df_bowling, x='Format', y='Economy', title=f"{player_data['Player']} - Economy Rate",
-                      markers=True, text=df_bowling['Economy'].round(2))
-    fig_eco.update_traces(textposition='top center')
+    fig_eco = px.line(df_bowling, x='Format', y='Economy', title=f"💰 {player_data['Player']} - Economy Rate 📉",
+                      markers=True, text=df_bowling['Economy'].round(2), hover_data=['Economy'])
+    fig_eco.update_traces(textposition='top center', hovertemplate='%{x}<br>Eco: %{y}')
     st.plotly_chart(fig_eco, key="bowling_economy")
 
-    # New Additional Plot: Bowling Strike Rate
-    fig_sr = px.line(df_bowling, x='Format', y='Strike Rate', title=f"{player_data['Player']} - Bowling Strike Rate",
-                     markers=True, text=df_bowling['Strike Rate'].round(2))
-    fig_sr.update_traces(textposition='top center')
+    # Bowling Strike Rate
+    fig_sr = px.line(df_bowling, x='Format', y='Strike Rate', title=f"⚡ {player_data['Player']} - Bowling Strike Rate 🎯",
+                     markers=True, text=df_bowling['Strike Rate'].round(2), hover_data=['Strike Rate'])
+    fig_sr.update_traces(textposition='top center', hovertemplate='%{x}<br>SR: %{y}')
     st.plotly_chart(fig_sr, key="bowling_strike_rate")
 
-def main():
-    st.title("Cricket Player Stats")
-    st.write("Select a role and player to view their stats.")
 
+def main():
+    st.set_page_config(page_title="Cricket Stats Dashboard", page_icon="🏏", layout="wide")
+    
+    # Sidebar for navigation
+    st.sidebar.title("🏏 Cricket Dashboard")
+    st.sidebar.markdown("Explore player stats with ease! 🌟")
     df = load_data()
 
-    # Role selection
-    role = st.selectbox("Select Player Role", ["Batsman", "Bowler", "All-Rounder"])
+    role = st.sidebar.selectbox("⚡ Select Player Role", ["Batsman", "Bowler", "All-Rounder"])
     players = filter_players_by_role(df, role)
-    
-    player_name = st.selectbox("Select Player", players)
-    # Get player details
+    player_name = st.sidebar.selectbox("🏆 Select Player", players)
     player_data = get_player_details(df, player_name)
 
-    # Display player details
-    st.subheader(f"{player_name}")
-    st.write(f"**Role:** {player_data['Player Role']}")
-    st.write(f"**Matches:** Test: {player_data['Matches_Test']}, ODI: {player_data['Matches_ODI']}, T20: {player_data['Matches_T20']}, IPL: {player_data['Matches_IPL']}")
+    # Main page content
+    st.title("🏏 Cricket Player Stats Dashboard 🌟")
+    st.markdown("🎯 Dive into detailed stats for your favorite cricketers!")
+
+    # Player details with emojis
+    st.subheader(f"🔥 {player_name} 🔥")
+    st.write(f"**Role:** {player_data['Player Role']} 🎭")
+    st.write(f"**Matches Played:** Test: {player_data['Matches_Test']} 🏟️ | ODI: {player_data['Matches_ODI']} 🌍 | T20: {player_data['Matches_T20']} ⚡ | IPL: {player_data['Matches_IPL']} 🏆")
 
-    # Display matches pie chart once for all roles
+    # Matches pie chart
     plot_matches_pie(player_data)
 
+    # Role-based stats
     if role == "Batsman":
+        st.subheader("🏏 Batting Highlights")
         plot_batting_stats(player_data)
     elif role == "Bowler":
+        st.subheader("🎳 Bowling Highlights")
         plot_bowling_stats(player_data)
     elif role == "All-Rounder":
-        st.subheader("Batting Stats")
+        st.subheader("🏏 Batting Highlights")
         plot_batting_stats(player_data)
-        st.subheader("Bowling Stats")
+        st.subheader("🎳 Bowling Highlights")
         plot_bowling_stats(player_data)
-        
+
 if __name__ == "__main__":
-    main()
+    main()