Upload 2 files

app.py

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+import streamlit as st
+import pandas as pd
+import plotly.express as px
+
+
+st.set_page_config(page_title='Excel Plotter')
+st.title('My Excel File Plotter Dashboard 👨‍🎓')
+st.subheader('Prepare to be amazed as we transform your Excel file into stunning visualizations!')
+
+
+uploaded_file = st.file_uploader('Choose a XLSX file', type='xlsx')
+if uploaded_file:
+    st.markdown('---')
+    df = pd.read_excel(uploaded_file, engine='openpyxl')
+    st.dataframe(df)
+
+lst=df.columns
+groupby_column = st.selectbox(
+        'What would you like to analyse?',
+        lst,
+    )
+    ####### It is better to extract above list from the dataframe, they might change
+output_columns = st.multiselect(
+        'What would you like to analyse?',
+        lst,
+    )
+    
+#output_columns = ['Sales', 'Profit']
+df_grouped = df.groupby(by=[groupby_column], as_index=False)[output_columns].sum()
+
+# -- PLOT DATAFRAME
+fig =px.bar(
+        df_grouped,
+        x=groupby_column,
+        y='Sales',
+        color='Profit',
+        color_continuous_scale=['blue', 'yellow', 'green',],
+        template='plotly_white',
+        title=f'<b>Sales & Profit by {groupby_column}</b>' )
+st.plotly_chart(fig)
+
+# -- DOWNLOAD SECTION
+st.subheader('"Moreover, starting next week, we will be introducing a new feature that allows you to conveniently download these files, inshaAllah"')
+

requirements.txt

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+streamlit
+plotly.express