Upload pd.py

pages/pd.py

@@ -0,0 +1,54 @@
+import pandas as pd
+import streamlit as st
+import plotly.express as px
+
+
+st.set_page_config('Dashboard',':bar_chart:',layout='wide')
+
+st.title=(':bar_chart: Sales Dashboard')
+#st.markdown('##')
+
+df= pd.read_excel(
+    io='pd1.xlsx',
+    #sheet_name='Ark1',
+    #skiprows=3,
+    #usecols='A,C:F',
+    #nrows=10,
+)
+
+
+#st.dataframe(df)
+
+
+st.sidebar.header('Please filter here')
+
+
+city=st.sidebar.multiselect('Select the City:',df['City'].unique(),default=df['City'].unique())
+
+customer_type=st.sidebar.multiselect('Select the customer type:',df['Customer_type'].unique(),default=df['Customer_type'].unique())
+
+gender=st.sidebar.multiselect('Select the Gender:',df['Gender'].unique(),default=df['Gender'].unique())
+
+#Filter
+df_selection = df.query(
+    "City == @city & Customer_type == @customer_type &  Gender == @gender"
+)
+
+st.dataframe(df_selection)
+
+
+total=int(df_selection['Total'].sum())
+rating=round(df_selection['Rating'].mean(),1)
+star=":star:" * int(round(rating,0))
+
+lc,rc =st.columns(2)
+
+with lc:
+    st.subheader('Total Sales:')
+    st.subheader(f'$ {total:,}')
+
+with rc:
+    st.subheader('Average Rating:')
+    st.subheader(f'{rating} {star}')
+
+st.markdown('---')