Update pages/player stats.py

pages/player stats.py

@@ -1,89 +1,3 @@
-# import streamlit as st
-# import pandas as pd 
-# import plotly.express as px
-# import plotly.graph_objects as go
-# from plotly.subplots import make_subplots
-
-
-# # Custom background color using CSS
-# st.markdown("""
-#     <style>
-#         body {
-#             background-color: #e6f2ff;
-#         }
-#         .stApp {
-#             background-color: #e6f2ff;
-#         }
-#     </style>
-# """, unsafe_allow_html=True)
-
-# # Title
-# st.markdown("<h2 style='text-align: center;'>Player Stats Analyzer 📈</h2>", unsafe_allow_html=True)
-# #st.header("Player Stats")
-
-# team = st.selectbox(
-#     "Select Team",
-#     ['India', 'Afghanistan', 'Ireland', 'Pakistan', 'Australia',
-#        'Sri Lanka', 'Bangladesh', 'England', 'West Indies',
-#        'South Africa', 'Zimbabwe', 'New Zealand'],)
-
-# skills = st.selectbox("Select Skill Type", ["Batting", "Bowling"])
-
-# sheet_name=team+" "+skills
-
-# df=pd.read_excel("final_data.xlsx",sheet_name,index_col=None)
-
-# player=st.selectbox("Select Player", df["name"].unique())
-
-# final_group=df.groupby("name")
-
-# #st.write(final_group.get_group(player))
-
-# st.header("Player Stats for {} 📊 ".format(player))
-
-
-# final_df=final_group.get_group(player)
-# final_df2=final_df.drop(["name"],axis=1)
-# st.dataframe(final_df2, hide_index=True)
-
-# st.header("Dashboards")
-
-
-# for i in range(len(final_df)):
-
-# # Get Series of data
-#     d1 = final_group.get_group(player).iloc[i][1:-1]
-#     #st.dataframe(d1)
-    
-#     df_chart = d1.reset_index()
-#     df_chart.columns = ['Skill', 'Value']
-    
-#     # Create subplots: set type='domain' for pie chart position
-#     fig = make_subplots(
-#         rows=len(final_df)//2, cols=2,
-#         specs=[[{'type': 'domain'}, {'type': 'xy'}]],  # Pie on left, Bar on right
-#         subplot_titles=("Pie Chart", "Bar Chart")
-#     )
-    
-#     # Add Pie Chart
-#     fig.add_trace(
-#         go.Pie(labels=df_chart['Skill'], values=df_chart['Value'], name="Pie"),
-#         row=i+1, col=i+1
-#     )
-    
-#     # Add Bar Chart
-#     fig.add_trace(
-#         go.Bar(x=df_chart['Skill'], y=df_chart['Value'], name="Bar"),
-#         row=i+1, col=i+2
-#     )
-    
-#     # Layout tweaks
-#     fig.update_layout(title_text=f"{player}'s {skills} Stats Overview", showlegend=False)
-    
-#     # Display in Streamlit
-#     st.plotly_chart(fig, use_container_width=True)
-
-
 import streamlit as st
 import pandas as pd 
 import plotly.express as px
@@ -187,5 +101,5 @@ st.plotly_chart(fig, use_container_width=True)
 
 
 
-# if st.button("Go to Home Page"):
-#     st.switch_page("app.py")
+if st.button("Go to Home Page"):
+    st.switch_page("app.py")