Bar Chat Webapp With Streamlit & Plotly

import streamlit as stimport pandas as pdimport plotly.express as pxst.title('Streamlit')st.subheader('An App By Pink Data Hub')st.markdown("""This Web app will help you analyze the following;* Your top 10 selling products* Your Total Profits For Each Month and Year* Your top 10 best buying Customers and their locations""")sales_data = pd.read_csv('supermarket_sales.csv')st.write(sales_data.head())select_branch=st.selectbox('What Branch would you like to visualize?',                             ['A','B','C'])select_xaxis = st.selectbox('What variable do you want on the X axis',                            ['Customer type','Gender',                             'Date','Payment','Rating'])select_yaxis = st.selectbox('What variable do you want on the Y axis',                            ['Unit price','Quantity','Tax5%','Total',                             'cogs','gross margin percentage','gross income'])select_product = st.selectbox('What product do you want to visualize?',                              ['Food and beverages','Fashion accessories',                               'Electronic accessories','Sports and travel',                               'Home and lifestyle','Health and beauty'])sales_data = pd.read_csv('supermarket_sales.csv')sales_data = sales_data[sales_data['Branch'] == select_branch]sales_data = sales_data[sales_data['Product line'] == select_product]sales_data = sales_data.groupby(sales_data[select_xaxis])[select_yaxis].sum().head(10).reset_index()fig = px.bar(x=sales_data[select_xaxis], y=sales_data[select_yaxis])st.plotly_chart(fig, use_container_width=True)

streamlit==0.86.0streamlit-foliumpandas<1.2.0plotly==5.2.1dashnumpy==1.21.2pillowplotly-express