Update pages/1player_information.py

pages/1player_information.py

@@ -40,55 +40,63 @@ st.title("🏏Career Insights")
 file_path = "Final.csv"  # Ensure this file exists in your working directory
 df = pd.read_csv(file_path)
 
-# Enter Player Name
-player_input = st.text_input("Enter Player Name:")
+# Get unique player names
+player_names = df["Player"].unique()
 
-if player_input:
-    selected_player = player_input.strip()
-    
-    if selected_player in df["Player"].values:
-        player_data = df[df["Player"] == selected_player].iloc[0]
+# Autocomplete player selection
+player_prefix = st.text_input("Enter at least first three letters of Player Name:")
 
-        # Pie Chart - Matches Played Across Formats
-        matches = [
-            player_data["Matches_Test"],
-            player_data["Matches_ODI"],
-            player_data["Matches_T20"],
-            player_data["Matches_IPL"]
-        ]
-        labels = ["Test", "ODI", "T20", "IPL"]
-        
-        fig, ax = plt.subplots()
-        ax.pie(matches, labels=labels, autopct="%1.1f%%", startangle=90, 
-               colors=["#87CEEB", "#90EE90", "#FFA07A", "#9370DB"])
-        ax.set_title(f"Matches Played by {selected_player}", fontsize=14)
-        st.pyplot(fig)
+if player_prefix and len(player_prefix) >= 3:
+    filtered_players = [name for name in player_names if name.lower().startswith(player_prefix.lower())]
 
-        # Bar Chart - Runs Scored in Different Formats
-        batting_runs = [
-            player_data["batting_Runs_Test"],
-            player_data["batting_Runs_ODI"],
-            player_data["batting_Runs_T20"],
-            player_data["batting_Runs_IPL"]
-        ]
-        fig, ax = plt.subplots()
-        ax.bar(labels, batting_runs, color=["#FFD700", "#008000", "#1E90FF", "#FF4500"])
-        ax.set_ylabel("Runs Scored", fontsize=12)
-        ax.set_title(f"Runs Scored by {selected_player}", fontsize=14)
-        st.pyplot(fig)
+    if filtered_players:
+        selected_player = st.selectbox("Select Player", filtered_players)
+    else:
+        st.warning("No matching player found.")
+        selected_player = None
+else:
+    selected_player = None
 
-        # Line Chart - Batting Average Over Formats
-        batting_average = [
-            player_data["batting_Runs_Test"] / max(1, player_data["batting_Innings_Test"]),
-            player_data["batting_Runs_ODI"] / max(1, player_data["batting_Innings_ODI"]),
-            player_data["batting_Runs_T20"] / max(1, player_data["batting_Innings_T20"]),
-            player_data["batting_Runs_IPL"] / max(1, player_data["batting_Innings_IPL"])
-        ]
-        fig, ax = plt.subplots()
-        ax.plot(labels, batting_average, marker='o', linestyle='-', color='#FFA500', linewidth=2)
-        ax.set_ylabel("Batting Average", fontsize=12)
-        ax.set_title(f"Batting Average of {selected_player}", fontsize=14)
-        st.pyplot(fig)
+if selected_player:
+    player_data = df[df["Player"] == selected_player].iloc[0]
 
-    else:
-        st.error("🚨 Player not found! Please enter a valid player name.")
+    # Pie Chart - Matches Played Across Formats
+    matches = [
+        player_data["Matches_Test"],
+        player_data["Matches_ODI"],
+        player_data["Matches_T20"],
+        player_data["Matches_IPL"]
+    ]
+    labels = ["Test", "ODI", "T20", "IPL"]
+
+    fig, ax = plt.subplots()
+    ax.pie(matches, labels=labels, autopct="%1.1f%%", startangle=90, 
+           colors=["#87CEEB", "#90EE90", "#FFA07A", "#9370DB"])
+    ax.set_title(f"Matches Played by {selected_player}", fontsize=14)
+    st.pyplot(fig)
+
+    # Bar Chart - Runs Scored in Different Formats
+    batting_runs = [
+        player_data["batting_Runs_Test"],
+        player_data["batting_Runs_ODI"],
+        player_data["batting_Runs_T20"],
+        player_data["batting_Runs_IPL"]
+    ]
+    fig, ax = plt.subplots()
+    ax.bar(labels, batting_runs, color=["#FFD700", "#008000", "#1E90FF", "#FF4500"])
+    ax.set_ylabel("Runs Scored", fontsize=12)
+    ax.set_title(f"Runs Scored by {selected_player}", fontsize=14)
+    st.pyplot(fig)
+
+    # Line Chart - Batting Average Over Formats
+    batting_average = [
+        player_data["batting_Runs_Test"] / max(1, player_data["batting_Innings_Test"]),
+        player_data["batting_Runs_ODI"] / max(1, player_data["batting_Innings_ODI"]),
+        player_data["batting_Runs_T20"] / max(1, player_data["batting_Innings_T20"]),
+        player_data["batting_Runs_IPL"] / max(1, player_data["batting_Innings_IPL"])
+    ]
+    fig, ax = plt.subplots()
+    ax.plot(labels, batting_average, marker='o', linestyle='-', color='#FFA500', linewidth=2)
+    ax.set_ylabel("Batting Average", fontsize=12)
+    ax.set_title(f"Batting Average of {selected_player}", fontsize=14)
+    st.pyplot(fig)