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import streamlit as st
import pandas as pd
import matplotlib.pyplot as plt
# Set page configuration
st.set_page_config(page_title="Career Insights", layout="wide")
# Load data
file_path = "Teams.csv"
df = pd.read_csv(file_path)
# Get unique player names
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
# Player selection dropdown
selected_player = st.selectbox("Select Player", filtered_players)
# 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:
col1, col2 = st.columns(2)
with col1:
# Pie Chart - Matches Played Across Formats
matches = [
player_data.get("Matches_Test", 0),
player_data.get("Matches_ODI", 0),
player_data.get("Matches_T20", 0),
player_data.get("Matches_IPL", 0)
]
fig, ax = plt.subplots()
ax.pie(matches, labels=labels, autopct="%1.1f%%", startangle=90)
ax.set_title(f"Matches Played by {selected_player}")
st.pyplot(fig)
with col2:
# Bar Chart - Runs Scored
batting_runs = [
player_data.get("batting_Runs_Test", 0),
player_data.get("batting_Runs_ODI", 0),
player_data.get("batting_Runs_T20", 0),
player_data.get("batting_Runs_IPL", 0)
]
fig, ax = plt.subplots()
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)
if show_bowling:
col1, col2 = st.columns(2)
with col1:
# Calculate Overs Bowled
overs_bowled = [
player_data.get("bowling_Test_Balls", 0) // 6,
player_data.get("bowling_ODI_Balls", 0) // 6,
player_data.get("bowling_T20_Balls", 0) // 6,
player_data.get("bowling_IPL_Balls", 0) // 6
]
# Bar Chart - Overs Bowled
fig, ax = plt.subplots()
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)
with col2:
# Line Chart - Wickets Taken
wickets_taken = [
player_data.get("bowling_Wickets_Test", 0),
player_data.get("bowling_Wickets_ODI", 0),
player_data.get("bowling_Wickets_T20", 0),
player_data.get("bowling_Wickets_IPL", 0)
]
fig, ax = plt.subplots()
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)
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