Update pages/1player_information.py

pages/1player_information.py

@@ -6,9 +6,12 @@ import matplotlib.pyplot as plt
 st.set_page_config(page_title="Career Insights", layout="wide")
 
 # Load data
-file_path = "Final.csv"
+file_path = "Teams.csv"
 df = pd.read_csv(file_path)
 
+# Display dataset columns for debugging
+st.write("Available columns in dataset:", df.columns.tolist())
+
 # Get unique player names
 player_names = df["Player"].unique()
 
@@ -30,10 +33,10 @@ if selected_player:
     if show_batting:
         # Pie Chart - Matches Played Across Formats
         matches = [
-            player_data["Matches_Test"],
-            player_data["Matches_ODI"],
-            player_data["Matches_T20"],
-            player_data["Matches_IPL"]
+            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)
@@ -42,10 +45,10 @@ if selected_player:
 
         # Bar Chart - Runs Scored
         batting_runs = [
-            player_data["batting_Runs_Test"],
-            player_data["batting_Runs_ODI"],
-            player_data["batting_Runs_T20"],
-            player_data["batting_Runs_IPL"]
+            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"])
@@ -56,10 +59,10 @@ if selected_player:
     if show_bowling:
         # Calculate Overs Bowled
         overs_bowled = [
-            player_data["bowling_Test_Balls"] // 6,
-            player_data["bowling_ODI_Balls"] // 6,
-            player_data["bowling_T20_Balls"] // 6,
-            player_data["bowling_IPL_Balls"] // 6
+            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
@@ -71,10 +74,10 @@ if selected_player:
         
         # Line Chart - Wickets Taken
         wickets_taken = [
-            player_data["bowling_Wickets_Test"],
-            player_data["bowling_Wickets_ODI"],
-            player_data["bowling_Wickets_T20"],
-            player_data["bowling_Wickets_IPL"]
+            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')