Update app.py

app.py

@@ -1,17 +1,10 @@
 import streamlit as st
 import pandas as pd
-
-###################################
 from st_aggrid import AgGrid
 from st_aggrid.grid_options_builder import GridOptionsBuilder
 from st_aggrid.shared import JsCode
-
-###################################
-
 from download import download_button
-
-###################################
-
+from st_aggrid import GridUpdateMode, DataReturnMode
 
 def _max_width_():
     max_width_str = f"max-width: 1800px;"
@@ -35,47 +28,36 @@ with col2:
 st.title("CSV Dataset Analyzer")
 with col3:
 st.write("")
-
 c29, c30, c31 = st.columns([1, 6, 1])
-
 with c30:
-
     uploaded_file = st.file_uploader(
         "",
         key="1",
         help="To activate 'wide mode', go to the hamburger menu > Settings > turn on 'wide mode'",
     )
-
     if uploaded_file is not None:
         file_container = st.expander("Check your uploaded .csv")
         shows = pd.read_csv(uploaded_file)
         uploaded_file.seek(0)
         file_container.write(shows)
-
     else:
         st.info(
             f"""
                 👆 Upload a .csv file first. Sample to try: [biostats.csv](https://people.sc.fsu.edu/~jburkardt/data/csv/biostats.csv)
                 """
         )
-
         st.stop()
-
-from st_aggrid import GridUpdateMode, DataReturnMode
-
+        
 gb = GridOptionsBuilder.from_dataframe(shows)
-# enables pivoting on all columns, however i'd need to change ag grid to allow export of pivoted/grouped data, however it select/filters groups
 gb.configure_default_column(enablePivot=True, enableValue=True, enableRowGroup=True)
 gb.configure_selection(selection_mode="multiple", use_checkbox=True)
 gb.configure_side_bar()  # side_bar is clearly a typo :) should by sidebar
 gridOptions = gb.build()
-
 st.success(
     f"""
         💡 Tip! Hold the shift key when selecting rows to select multiple rows at once!
         """
 )
-
 response = AgGrid(
     shows,
     gridOptions=gridOptions,
@@ -84,26 +66,18 @@ response = AgGrid(
     data_return_mode=DataReturnMode.FILTERED_AND_SORTED,
     fit_columns_on_grid_load=False,
 )
-
 df = pd.DataFrame(response["selected_rows"])
-
 st.subheader("Filtered data will appear below 👇 ")
 st.text("")
-
 st.table(df)
-
 st.text("")
-
 c29, c30, c31 = st.columns([1, 1, 2])
-
 with c29:
-
     CSVButton = download_button(
         df,
         "File.csv",
         "Download to CSV",
     )
-
 with c30:
     CSVButton = download_button(
         df,