Update pages/1player_information.py

pages/1player_information.py

@@ -6,7 +6,8 @@ import matplotlib.pyplot as plt
 st.set_page_config(page_title="Career Insights", layout="wide")
 
 # Load data
-df = pd.read_csv("Team_Info.csv")
+file_path = "/mnt/data/Team_Info.csv"
+df = pd.read_csv(file_path)
 
 # Get unique player names
 player_names = df["Player"].unique()
@@ -101,29 +102,60 @@ if selected_player:
             ax.set_title(f"Strike Rate & Batting Average of {selected_player}")
             ax.legend()
             st.pyplot(fig)
+    
+    if show_bowling:
+        col1, col2 = st.columns(2)
+        
+        with col1:
+            # Bar Chart - Wickets Taken
+            wickets = [
+                player_data.get("bowling_Test_Wickets", 0),
+                player_data.get("bowling_ODI_Wickets", 0),
+                player_data.get("bowling_T20_Wickets", 0),
+                player_data.get("bowling_IPL_Wickets", 0)
+            ]
+            fig, ax = plt.subplots()
+            ax.bar(labels, wickets, color=["gold", "green", "blue", "red"])
+            ax.set_ylabel("Wickets")
+            ax.set_title(f"Wickets Taken by {selected_player}")
+            st.pyplot(fig)
         
-        # Bar Chart - Batting Innings
-        batting_innings = [
-            player_data.get("batting_Innings_Test", 0),
-            player_data.get("batting_Innings_ODI", 0),
-            player_data.get("batting_Innings_T20", 0),
-            player_data.get("batting_Innings_IPL", 0)
+        with col2:
+            # Bar Chart - Bowling Average
+            bowling_avg = [
+                player_data.get("bowling_Test_Avg", 0),
+                player_data.get("bowling_ODI_Avg", 0),
+                player_data.get("bowling_T20_Avg", 0),
+                player_data.get("bowling_IPL_Avg", 0)
+            ]
+            fig, ax = plt.subplots()
+            ax.bar(labels, bowling_avg, color=["red", "blue", "green", "purple"])
+            ax.set_ylabel("Bowling Average")
+            ax.set_title(f"Bowling Average of {selected_player}")
+            st.pyplot(fig)
+        
+        # Bar Chart - Balls Bowled
+        balls_bowled = [
+            player_data.get("bowling_Test_Balls", 0),
+            player_data.get("bowling_ODI_Balls", 0),
+            player_data.get("bowling_T20_Balls", 0),
+            player_data.get("bowling_IPL_Balls", 0)
         ]
         fig, ax = plt.subplots()
-        ax.bar(labels, batting_innings, color=["skyblue", "orange", "lime", "purple"])
-        ax.set_ylabel("Innings Played")
-        ax.set_title(f"Batting Innings by {selected_player}")
+        ax.bar(labels, balls_bowled, color=["orange", "cyan", "magenta", "yellow"])
+        ax.set_ylabel("Balls Bowled")
+        ax.set_title(f"Balls Bowled by {selected_player}")
         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)
+    
+        # Bar Chart - Maidens Bowled
+        maidens = [
+            player_data.get("bowling_Test_Maidens", 0),
+            player_data.get("bowling_ODI_Maidens", 0),
+            player_data.get("bowling_T20_Maidens", 0),
+            player_data.get("bowling_IPL_Maidens", 0)
         ]
         fig, ax = plt.subplots()
-        ax.bar(labels, batting_balls, color=["red", "green", "blue", "purple"])
-        ax.set_ylabel("Balls Faced")
-        ax.set_title(f"Balls Faced by {selected_player}")
+        ax.bar(labels, maidens, color=["blue", "green", "red", "purple"])
+        ax.set_ylabel("Maidens")
+        ax.set_title(f"Maidens Bowled by {selected_player}")
         st.pyplot(fig)