Update pages/1player_information.py

pages/1player_information.py

@@ -61,16 +61,16 @@ if selected_player:
         with col3:
             # Bar Chart - 100s and 50s
             hundreds = [
-                player_data.get("100s_Test", 0),
-                player_data.get("100s_ODI", 0),
-                player_data.get("100s_T20", 0),
-                player_data.get("100s_IPL", 0)
+                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("50s_Test", 0),
-                player_data.get("50s_ODI", 0),
-                player_data.get("50s_T20", 0),
-                player_data.get("50s_IPL", 0)
+                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")
@@ -83,16 +83,16 @@ if selected_player:
         with col4:
             # Line Chart - Strike Rate & Average
             strike_rate = [
-                player_data.get("SR_Test", 0),
-                player_data.get("SR_ODI", 0),
-                player_data.get("SR_T20", 0),
-                player_data.get("SR_IPL", 0)
+                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("Avg_Test", 0),
-                player_data.get("Avg_ODI", 0),
-                player_data.get("Avg_T20", 0),
-                player_data.get("Avg_IPL", 0)
+                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")
@@ -101,42 +101,29 @@ 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 - Economy Rate
-            economy_rate = [
-                player_data.get("Econ_Test", 0),
-                player_data.get("Econ_ODI", 0),
-                player_data.get("Econ_T20", 0),
-                player_data.get("Econ_IPL", 0)
-            ]
-            fig, ax = plt.subplots()
-            ax.bar(labels, economy_rate, color=["purple", "orange", "cyan", "brown"])
-            ax.set_ylabel("Economy Rate")
-            ax.set_title(f"Economy Rate of {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)
+        ]
+        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}")
+        st.pyplot(fig)
         
-        with col2:
-            # Scatter Plot - Bowling Average & Strike Rate
-            bowling_avg = [
-                player_data.get("Bowl_Avg_Test", 0),
-                player_data.get("Bowl_Avg_ODI", 0),
-                player_data.get("Bowl_Avg_T20", 0),
-                player_data.get("Bowl_Avg_IPL", 0)
-            ]
-            bowling_sr = [
-                player_data.get("Bowl_SR_Test", 0),
-                player_data.get("Bowl_SR_ODI", 0),
-                player_data.get("Bowl_SR_T20", 0),
-                player_data.get("Bowl_SR_IPL", 0)
-            ]
-            fig, ax = plt.subplots()
-            ax.scatter(labels, bowling_avg, color='blue', label="Bowling Average")
-            ax.scatter(labels, bowling_sr, color='red', label="Bowling Strike Rate")
-            ax.set_ylabel("Value")
-            ax.set_title(f"Bowling Average & Strike Rate 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()
+        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)