Update pages/1player_information.py

pages/1player_information.py

@@ -5,57 +5,29 @@ import matplotlib.pyplot as plt
 # Set page configuration
 st.set_page_config(page_title="Career Insights", layout="wide")
 
-# Light-Themed Background with Light Blue Color
-page_bg = """
-<style>
-    body {
-        background-color: #E3F2FD;
-    }
-    [data-testid="stAppViewContainer"] {
-        background-color: #E3F2FD;
-    }
-    [data-testid="stSidebar"] {
-        background-color: #ffffff;
-        border-right: 1px solid #ddd;
-    }
-    h1, h2, h3, h4, h5, h6 {
-        color: #333333 !important;
-    }
-    .stTextInput>div>div>input {
-        background-color: white;
-        color: black;
-        border-radius: 5px;
-        padding: 10px;
-        border: 1px solid #ccc;
-    }
-</style>
-"""
-st.markdown(page_bg, unsafe_allow_html=True)
-
-# App Title
-st.title("🏏 Career Insights")
-
 # Load data
-file_path = "Final.csv"  # Ensure this file exists in your working directory
+file_path = "Final.csv"
 df = pd.read_csv(file_path)
 
 # Get unique player names
-player_names = sorted(df["Player"].unique())
+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 player_names
 
-# Dropdown for Player Selection
-selected_player = st.selectbox("Select a Player:", player_names)
+# Player selection dropdown
+selected_player = st.selectbox("Select Player", filtered_players)
 
-# Buttons for Batting & Bowling
-col1, col2 = st.columns(2)
-show_batting = col1.button("🏏 Show Batting Stats")
-show_bowling = col2.button("🎯 Show Bowling Stats")
+# Buttons for Batting and Bowling
+show_batting = st.button("Show Batting Stats")
+show_bowling = st.button("Show Bowling Stats")
 
 if selected_player:
     player_data = df[df["Player"] == selected_player].iloc[0]
-
+    labels = ["Test", "ODI", "T20", "IPL"]
+    
     if show_batting:
-        st.subheader(f"🏏 Batting Stats of {selected_player}")
-
         # Pie Chart - Matches Played Across Formats
         matches = [
             player_data["Matches_Test"],
@@ -63,15 +35,12 @@ if selected_player:
             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)
+        ax.pie(matches, labels=labels, autopct="%1.1f%%", startangle=90)
+        ax.set_title(f"Matches Played by {selected_player}")
         st.pyplot(fig)
 
-        # Bar Chart - Runs Scored in Different Formats
+        # Bar Chart - Runs Scored
         batting_runs = [
             player_data["batting_Runs_Test"],
             player_data["batting_Runs_ODI"],
@@ -79,75 +48,36 @@ if selected_player:
             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)
+        ax.bar(labels, batting_runs, color=["gold", "green", "blue", "red"])
+        ax.set_ylabel("Runs Scored")
+        ax.set_title(f"Runs Scored by {selected_player}")
         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)
-
+    
     if show_bowling:
-        st.subheader(f"🎯 Bowling Stats of {selected_player}")
-
-        # Pie Chart - Overs Bowled in Different Formats
+        # Calculate Overs Bowled
         overs_bowled = [
-            player_data["Overs_Bowled_Test"],
-            player_data["Overs_Bowled_ODI"],
-            player_data["Overs_Bowled_T20"],
-            player_data["Overs_Bowled_IPL"]
-        ]
-        fig, ax = plt.subplots()
-        ax.pie(overs_bowled, labels=labels, autopct="%1.1f%%", startangle=90,
-               colors=["#FF5733", "#C70039", "#900C3F", "#581845"])
-        ax.set_title(f"Overs Bowled by {selected_player}", fontsize=14)
-        st.pyplot(fig)
-
-        # Bar Chart - Wickets Taken Across Formats
-        wickets = [
-            player_data["Wickets_Test"],
-            player_data["Wickets_ODI"],
-            player_data["Wickets_T20"],
-            player_data["Wickets_IPL"]
+            player_data["bowling_Test_Balls"] // 6,
+            player_data["bowling_ODI_Balls"] // 6,
+            player_data["bowling_T20_Balls"] // 6,
+            player_data["bowling_IPL_Balls"] // 6
         ]
+        
+        # Bar Chart - Overs Bowled
         fig, ax = plt.subplots()
-        ax.bar(labels, wickets, color=["#FF5733", "#C70039", "#900C3F", "#581845"])
-        ax.set_ylabel("Wickets Taken", fontsize=12)
-        ax.set_title(f"Wickets Taken by {selected_player}", fontsize=14)
+        ax.bar(labels, overs_bowled, color=["purple", "orange", "cyan", "brown"])
+        ax.set_ylabel("Overs Bowled")
+        ax.set_title(f"Overs Bowled by {selected_player}")
         st.pyplot(fig)
-
-        # Line Chart - Bowling Economy Over Formats
-        bowling_economy = [
-            player_data["Economy_Test"],
-            player_data["Economy_ODI"],
-            player_data["Economy_T20"],
-            player_data["Economy_IPL"]
-        ]
-        fig, ax = plt.subplots()
-        ax.plot(labels, bowling_economy, marker='o', linestyle='-', color='#2E86C1', linewidth=2)
-        ax.set_ylabel("Bowling Economy", fontsize=12)
-        ax.set_title(f"Bowling Economy of {selected_player}", fontsize=14)
-        st.pyplot(fig)
-
-        # Line Chart - Bowling Strike Rate Over Formats
-        bowling_strike_rate = [
-            player_data["Strike_Rate_Test"],
-            player_data["Strike_Rate_ODI"],
-            player_data["Strike_Rate_T20"],
-            player_data["Strike_Rate_IPL"]
+        
+        # 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"]
         ]
         fig, ax = plt.subplots()
-        ax.plot(labels, bowling_strike_rate, marker='o', linestyle='-', color='#1ABC9C', linewidth=2)
-        ax.set_ylabel("Bowling Strike Rate", fontsize=12)
-        ax.set_title(f"Bowling Strike Rate of {selected_player}", fontsize=14)
+        ax.plot(labels, wickets_taken, marker='o', linestyle='-', color='red')
+        ax.set_ylabel("Wickets Taken")
+        ax.set_title(f"Wickets Taken by {selected_player}")
         st.pyplot(fig)