How best to apply a save on_change function to a dynamic filter?

One small update, I did some extra research and discovered that using the below code for applying changes prevents the filters from overwriting the entire df. def save_edits(): merged_df = pd.merge(st.session_state.df1,st.session_state.edited_df1,how=’outer’,indicator=True) diff_df1 = merged_df[merged_df[‘_merge’] == ‘right_only’] if len(diff_df1)>0: df1.update(st.session_state.edited_df1 Streamy’s suggestions to “use a callback” or “commit changes immediately after editing” is pretty much what I’m trying to do. A “Save changes” button doesn’t help if all the changes were removed when a new fi