Update pages/1player_information.py

pages/1player_information.py

@@ -6,7 +6,7 @@ import matplotlib.pyplot as plt
 st.set_page_config(page_title="Career Insights", layout="wide")
 
 # Load data
-df = pd.read_csv("Team_Info.csv")
+df = pd.read_csv("Teams_Info")
 
 # Get unique player names
 player_names = df["Player"].unique()
@@ -30,6 +30,35 @@ if selected_player:
         col1, col2 = st.columns(2)
         
         with col1:
+            # Pie Chart - Matches Played Across Formats
+            matches = [
+                player_data.get("Matches_Test", 0),
+                player_data.get("Matches_ODI", 0),
+                player_data.get("Matches_T20", 0),
+                player_data.get("Matches_IPL", 0)
+            ]
+            fig, ax = plt.subplots()
+            ax.pie(matches, labels=labels, autopct="%1.1f%%", startangle=90)
+            ax.set_title(f"Matches Played by {selected_player}")
+            st.pyplot(fig)
+        
+        with col2:
+            # Bar Chart - Runs Scored
+            batting_runs = [
+                player_data.get("batting_Runs_Test", 0),
+                player_data.get("batting_Runs_ODI", 0),
+                player_data.get("batting_Runs_T20", 0),
+                player_data.get("batting_Runs_IPL", 0)
+            ]
+            fig, ax = plt.subplots()
+            ax.bar(labels, batting_runs, color=["gold", "green", "blue", "red"])
+            ax.set_ylabel("Runs Scored")
+            ax.set_title(f"Runs Scored by {selected_player}")
+            st.pyplot(fig)
+        
+        col3, col4 = st.columns(2)
+        
+        with col3:
             # Bar Chart - 100s and 50s
             hundreds = [
                 player_data.get("100s_Test", 0),
@@ -51,7 +80,7 @@ if selected_player:
             ax.legend()
             st.pyplot(fig)
         
-        with col2:
+        with col4:
             # Line Chart - Strike Rate & Average
             strike_rate = [
                 player_data.get("SR_Test", 0),
@@ -110,4 +139,4 @@ if selected_player:
             ax.set_ylabel("Value")
             ax.set_title(f"Bowling Average & Strike Rate of {selected_player}")
             ax.legend()
-            st.pyplot(fig)
+            st.pyplot(fig)