Delete app.py

app.py

@@ -1,94 +0,0 @@
-import streamlit as st
-import pandas as pd
-import seaborn as sns
-import matplotlib.pyplot as plt
-import plotly.express as px
-
-# Load the dataset
-df = pd.read_csv("cric_final.csv")
-
-st.title("🏏 Player Performance Dashboard")
-
-# ✅ Dropdown to Select Player
-selected_player = st.selectbox("Select a Player", df["Player"].unique())
-
-# Get Player Data
-player_data = df[df["Player"] == selected_player]
-
-if not player_data.empty:
-    # Replace None/NaN with "-" only in batting and bowling columns
-    batting_cols = [col for col in df.columns if "batting" in col.lower()]
-    bowling_cols = [col for col in df.columns if "bowling" in col.lower()]
-
-    player_data[batting_cols] = player_data[batting_cols].fillna("-")
-    player_data[bowling_cols] = player_data[bowling_cols].fillna("-")
-
-    # ✅ Only 2 Tabs now: Batting and Bowling
-    tab1, tab2 = st.tabs(["📈 Batting Performance", "🎯 Bowling Performance"])
-
-    with tab1:
-        st.write("### 📊 Batting Performance")
-
-        # Bar Chart for Batting Runs
-        fig, ax = plt.subplots(figsize=(7, 5))
-        sns.barplot(
-            x=["Test", "ODI", "T20", "IPL"],
-            y=player_data.iloc[0][["batting_Runs_Test", "batting_Runs_ODI", "batting_Runs_T20", "batting_Runs_IPL"]],
-            palette="magma",
-            ax=ax
-        )
-        ax.set_ylabel("Total Runs", fontsize=14)
-        ax.set_title(f"Batting Performance of {selected_player}", fontsize=16)
-        ax.grid(True, axis='y', linestyle='--', alpha=0.7)
-        st.pyplot(fig)
-
-        # Half-Centuries (50s) vs Centuries (100s)
-        st.write("### Half-Centuries (50s) vs Centuries (100s)")
-        fig, ax = plt.subplots(figsize=(7, 5))
-        x_labels = ["Test", "ODI", "T20", "IPL"]
-        x = range(len(x_labels))
-        fifties = player_data.iloc[0][["batting_50s_Test", "batting_50s_ODI", "batting_50s_T20", "batting_50s_IPL"]]
-        hundreds = player_data.iloc[0][["batting_100s_Test", "batting_100s_ODI", "batting_100s_T20", "batting_100s_IPL"]]
-
-        width = 0.4
-        ax.bar([i - width/2 for i in x], fifties, width=width, label="50s", color="skyblue")
-        ax.bar([i + width/2 for i in x], hundreds, width=width, label="100s", color="orange")
-
-        ax.set_xticks(x)
-        ax.set_xticklabels(x_labels)
-        ax.set_ylabel("Count", fontsize=14)
-        ax.set_title(f"50s vs 100s of {selected_player}", fontsize=16)
-        ax.legend()
-        ax.grid(axis="y", linestyle="--", alpha=0.7)
-        st.pyplot(fig)
-
-        # Pie Chart for Batting Runs Distribution
-        st.write("### Batting Runs Distribution")
-        runs = player_data.iloc[0][["batting_Runs_Test", "batting_Runs_ODI", "batting_Runs_T20", "batting_Runs_IPL"]]
-        fig_pie = px.pie(values=runs, names=x_labels, title="Batting Runs Distribution")
-        st.plotly_chart(fig_pie)
-
-    with tab2:
-        st.write("### 🎯 Bowling Performance")
-
-        # Bar Chart for Bowling Wickets
-        fig, ax = plt.subplots(figsize=(7, 5))
-        sns.barplot(
-            x=["Test", "ODI", "T20", "IPL"],
-            y=player_data.iloc[0][["bowling_Test_Wickets", "bowling_ODI_Wickets", "bowling_T20_Wickets", "bowling_IPL_Wickets"]],
-            palette="coolwarm",
-            ax=ax
-        )
-        ax.set_ylabel("Total Wickets", fontsize=14)
-        ax.set_title(f"Bowling Performance of {selected_player}", fontsize=16)
-        ax.grid(True, axis='y', linestyle='--', alpha=0.7)
-        st.pyplot(fig)
-
-        # Pie Chart for Bowling Wickets Distribution
-        st.write("### Bowling Wickets Distribution")
-        wickets = player_data.iloc[0][["bowling_Test_Wickets", "bowling_ODI_Wickets", "bowling_T20_Wickets", "bowling_IPL_Wickets"]]
-        fig_pie_bowl = px.pie(values=wickets, names=x_labels, title="Bowling Wickets Distribution")
-        st.plotly_chart(fig_pie_bowl)
-
-else:
-    st.warning("⚠️ Player not found in the dataset.")