Update pages/1player_information.py

pages/1player_information.py

@@ -15,8 +15,11 @@ player_names = df["Player"].unique()
 search_query = st.text_input("Search Player Name:")
 filtered_players = [name for name in player_names if search_query.lower() in name.lower()] if search_query else player_names
 
+if not filtered_players:
+    st.warning("Player not found. Please try a different name.")
+
 # Player selection dropdown
-selected_player = st.selectbox("Select Player", filtered_players)
+selected_player = st.selectbox("Select Player", filtered_players) if filtered_players else None
 
 # Buttons for Batting and Bowling
 show_batting = st.button("Show Batting Stats")
@@ -28,7 +31,7 @@ if selected_player:
     
     if show_batting:
         st.subheader(f"Batting Stats for {selected_player}")
-
+        
         col1, col2 = st.columns(2)
         with col1:
             # Pie Chart - Matches Played
@@ -57,64 +60,6 @@ if selected_player:
             ax.set_title(f"Runs Scored by {selected_player}")
             st.pyplot(fig)
 
-        col3, col4 = st.columns(2)
-        with col3:
-            # Stacked Bar Chart - 100s and 50s
-            hundreds = [
-                player_data.get("batting_100s_Test", 0),
-                player_data.get("batting_100s_ODI", 0),
-                player_data.get("batting_100s_T20", 0),
-                player_data.get("batting_100s_IPL", 0)
-            ]
-            fifties = [
-                player_data.get("batting_50s_Test", 0),
-                player_data.get("batting_50s_ODI", 0),
-                player_data.get("batting_50s_T20", 0),
-                player_data.get("batting_50s_IPL", 0)
-            ]
-            fig, ax = plt.subplots()
-            ax.bar(labels, hundreds, label="100s", color="gold")
-            ax.bar(labels, fifties, label="50s", color="blue", bottom=hundreds)
-            ax.set_ylabel("Count")
-            ax.set_title(f"Centuries & Fifties by {selected_player}")
-            ax.legend()
-            st.pyplot(fig)
-
-        with col4:
-            # Line Chart - Strike Rate & Average
-            strike_rate = [
-                player_data.get("batting_SR_Test", 0),
-                player_data.get("batting_SR_ODI", 0),
-                player_data.get("batting_SR_T20", 0),
-                player_data.get("batting_SR_IPL", 0)
-            ]
-            batting_avg = [
-                player_data.get("batting_Average_Test", 0),
-                player_data.get("batting_Average_ODI", 0),
-                player_data.get("batting_Average_T20", 0),
-                player_data.get("batting_Average_IPL", 0)
-            ]
-            fig, ax = plt.subplots()
-            ax.plot(labels, strike_rate, marker='o', linestyle='-', color='red', label="Strike Rate")
-            ax.plot(labels, batting_avg, marker='s', linestyle='--', color='green', label="Batting Average")
-            ax.set_ylabel("Value")
-            ax.set_title(f"Strike Rate & Batting Average of {selected_player}")
-            ax.legend()
-            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)
-        ]
-        fig, ax = plt.subplots(figsize=(5,3))
-        ax.bar(labels, batting_balls, color=["red", "green", "blue", "purple"])
-        ax.set_ylabel("Balls Faced")
-        ax.set_title(f"Balls Faced by {selected_player}")
-        st.pyplot(fig)
-
     if show_bowling:
         st.subheader(f"Bowling Stats for {selected_player}")
 
@@ -145,16 +90,3 @@ if selected_player:
             ax.set_ylabel("Innings Bowled")
             ax.set_title(f"Bowling Innings of {selected_player}")
             st.pyplot(fig)
-
-        # 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(figsize=(5, 3))
-        ax.bar(labels, balls_bowled, color=["red", "yellow", "blue", "green"])
-        ax.set_ylabel("Balls Bowled")
-        ax.set_title(f"Balls Bowled by {selected_player}")
-        st.pyplot(fig)