Update pages/1player_information.py

pages/1player_information.py

@@ -26,7 +26,9 @@ if selected_player:
     player_data = df[df["Player"] == selected_player].iloc[0]
     labels = ["Test", "ODI", "T20", "IPL"]
     
+    # **Batting Stats Section**
     if show_batting:
+        st.subheader(f"Batting Statistics - {selected_player}")
         col1, col2 = st.columns(2)
         
         with col1:
@@ -101,29 +103,65 @@ if selected_player:
             ax.set_title(f"Strike Rate & Batting Average of {selected_player}")
             ax.legend()
             st.pyplot(fig)
-        
-        # Bar Chart - Balls Faced
-        batting_balls = [
-            player_data.get("batting_Balls_Test", 0),
-            player_data.get("batting_Balls_ODI", 0),
-            player_data.get("batting_Balls_T20", 0),
-            player_data.get("batting_Balls_IPL", 0)
-        ]
-        fig, ax = plt.subplots(figsize=(5,3))
-        ax.bar(labels, batting_balls, color=["red", "green", "blue", "purple"])
-        ax.set_ylabel("Balls Faced")
-        ax.set_title(f"Balls Faced by {selected_player}")
-        st.pyplot(fig)
-        
-        # Bar Chart - Maidens Bowled
-        maidens_bowled = [
-            player_data.get("bowling_Maidens_Test", 0),
-            player_data.get("bowling_Maidens_ODI", 0),
-            player_data.get("bowling_Maidens_T20", 0),
-            player_data.get("bowling_Maidens_IPL", 0)
-        ]
-        fig, ax = plt.subplots(figsize=(5,3))
-        ax.bar(labels, maidens_bowled, color=["cyan", "magenta", "yellow", "black"])
-        ax.set_ylabel("Maidens Bowled")
-        ax.set_title(f"Maidens Bowled by {selected_player}")
-        st.pyplot(fig)
+
+    # **Bowling Stats Section**
+    if show_bowling:
+        st.subheader(f"Bowling Statistics - {selected_player}")
+        col1, col2 = st.columns(2)
+
+        with col1:
+            # Pie Chart - Wickets Taken Across Formats
+            wickets = [
+                player_data.get("Wickets_Test", 0),
+                player_data.get("Wickets_ODI", 0),
+                player_data.get("Wickets_T20", 0),
+                player_data.get("Wickets_IPL", 0)
+            ]
+            fig, ax = plt.subplots(figsize=(5, 3))
+            ax.pie(wickets, labels=labels, autopct="%1.1f%%", startangle=90)
+            ax.set_title(f"Wickets Taken by {selected_player}")
+            st.pyplot(fig)
+
+        with col2:
+            # Bar Chart - Economy Rate
+            economy_rate = [
+                player_data.get("Economy_Test", 0),
+                player_data.get("Economy_ODI", 0),
+                player_data.get("Economy_T20", 0),
+                player_data.get("Economy_IPL", 0)
+            ]
+            fig, ax = plt.subplots(figsize=(5, 3))
+            ax.bar(labels, economy_rate, color=["gold", "green", "blue", "red"])
+            ax.set_ylabel("Economy Rate")
+            ax.set_title(f"Economy Rate of {selected_player}")
+            st.pyplot(fig)
+
+        col3, col4 = st.columns(2)
+
+        with col3:
+            # Bar Chart - Balls Bowled
+            balls_bowled = [
+                player_data.get("bowling_Balls_Test", 0),
+                player_data.get("bowling_Balls_ODI", 0),
+                player_data.get("bowling_Balls_T20", 0),
+                player_data.get("bowling_Balls_IPL", 0)
+            ]
+            fig, ax = plt.subplots(figsize=(5, 3))
+            ax.bar(labels, balls_bowled, color=["red", "green", "blue", "purple"])
+            ax.set_ylabel("Balls Bowled")
+            ax.set_title(f"Balls Bowled by {selected_player}")
+            st.pyplot(fig)
+
+        with col4:
+            # Bar Chart - Maidens Bowled
+            maidens_bowled = [
+                player_data.get("bowling_Maidens_Test", 0),
+                player_data.get("bowling_Maidens_ODI", 0),
+                player_data.get("bowling_Maidens_T20", 0),
+                player_data.get("bowling_Maidens_IPL", 0)
+            ]
+            fig, ax = plt.subplots(figsize=(5, 3))
+            ax.bar(labels, maidens_bowled, color=["cyan", "magenta", "yellow", "black"])
+            ax.set_ylabel("Maidens Bowled")
+            ax.set_title(f"Maidens Bowled by {selected_player}")
+            st.pyplot(fig)