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
-file_path = "Teams.csv"
+file_path = "Final.csv"
 df = pd.read_csv(file_path)
 
 # Get unique player names
@@ -28,56 +28,64 @@ if selected_player:
     labels = ["Test", "ODI", "T20", "IPL"]
     
     if show_batting:
-        # 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)
-
-        # 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)
+        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)
     
     if show_bowling:
-        # Calculate Overs Bowled
-        overs_bowled = [
-            player_data.get("bowling_Test_Balls", 0) // 6,
-            player_data.get("bowling_ODI_Balls", 0) // 6,
-            player_data.get("bowling_T20_Balls", 0) // 6,
-            player_data.get("bowling_IPL_Balls", 0) // 6
-        ]
+        col1, col2 = st.columns(2)
         
-        # Bar Chart - Overs Bowled
-        fig, ax = plt.subplots()
-        ax.bar(labels, overs_bowled, color=["purple", "orange", "cyan", "brown"])
-        ax.set_ylabel("Overs Bowled")
-        ax.set_title(f"Overs Bowled by {selected_player}")
-        st.pyplot(fig)
+        with col1:
+            # Calculate Overs Bowled
+            overs_bowled = [
+                player_data.get("bowling_Test_Balls", 0) // 6,
+                player_data.get("bowling_ODI_Balls", 0) // 6,
+                player_data.get("bowling_T20_Balls", 0) // 6,
+                player_data.get("bowling_IPL_Balls", 0) // 6
+            ]
+            
+            # Bar Chart - Overs Bowled
+            fig, ax = plt.subplots()
+            ax.bar(labels, overs_bowled, color=["purple", "orange", "cyan", "brown"])
+            ax.set_ylabel("Overs Bowled")
+            ax.set_title(f"Overs Bowled by {selected_player}")
+            st.pyplot(fig)
         
-        # Line Chart - Wickets Taken
-        wickets_taken = [
-            player_data.get("bowling_Wickets_Test", 0),
-            player_data.get("bowling_Wickets_ODI", 0),
-            player_data.get("bowling_Wickets_T20", 0),
-            player_data.get("bowling_Wickets_IPL", 0)
-        ]
-        fig, ax = plt.subplots()
-        ax.plot(labels, wickets_taken, marker='o', linestyle='-', color='red')
-        ax.set_ylabel("Wickets Taken")
-        ax.set_title(f"Wickets Taken by {selected_player}")
-        st.pyplot(fig)
+        with col2:
+            # Line Chart - Wickets Taken
+            wickets_taken = [
+                player_data.get("bowling_Wickets_Test", 0),
+                player_data.get("bowling_Wickets_ODI", 0),
+                player_data.get("bowling_Wickets_T20", 0),
+                player_data.get("bowling_Wickets_IPL", 0)
+            ]
+            fig, ax = plt.subplots()
+            ax.plot(labels, wickets_taken, marker='o', linestyle='-', color='red')
+            ax.set_ylabel("Wickets Taken")
+            ax.set_title(f"Wickets Taken by {selected_player}")
+            st.pyplot(fig)