Update pages/1player_information.py

pages/1player_information.py

@@ -13,13 +13,12 @@ player_names = df["Player"].unique()
 
 # Search box for filtering player names
 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 list(player_names)
-
+filtered_players = [name for name in player_names if search_query.lower() in name.lower()] if search_query else player_names
 if len(filtered_players) == 0:
     st.warning("Player not found. Please try a different name.")
 
 # Player selection dropdown
-selected_player = st.selectbox("Select Player", filtered_players) if len(filtered_players) > 0 else None
+selected_player = st.selectbox("Select Player", filtered_players)
 
 # Buttons for Batting and Bowling
 show_batting = st.button("Show Batting Stats")
@@ -31,7 +30,7 @@ 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
@@ -60,6 +59,64 @@ 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}")
 
@@ -90,3 +147,19 @@ 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)
+
+
+add a message to the code if the player name was not found and displaye the message