Update app.py

app.py

@@ -1,7 +1,6 @@
 import streamlit as st 
 import pandas as pd
-import plotly.express as px
-import plotly.graph_objects as go
+
 
 st.title("Customer Lifetime Value App")
 
@@ -34,24 +33,13 @@ user_data['Year'] = user_data['InvoiceDate'].dt.year
 # Plot the graphs
 st.subheader('Purchase Trend')
 
-# Day Wise
-fig = go.Figure()
-fig.add_trace(go.Scatter(x=user_data.Day, y=user_data.Quantity, mode='lines+markers', name='Day Wise'))
-st.plotly_chart(fig)
 
-# Date Wise
-fig1 = px.line(user_data, x="InvoiceDate", y="Quantity", title='Date Wise')
-st.plotly_chart(fig1)
 
-# Week Wise
-fig2 = go.Figure()
-fig2.add_trace(go.Scatter(x=user_data.Week, y=user_data.Quantity, mode='lines+markers', name='Week Wise'))
-st.plotly_chart(fig2)
 
-# Month Wise
-fig3 = go.Figure()
-fig3.add_trace(go.Scatter(x=user_data.Month, y=user_data.Quantity, mode='lines+markers', name='Month Wise'))
-st.plotly_chart(fig3)
+
+
+
+
 
 # Risk of Churn
 if clv <= 0: