Refine dataframe styling in app.py

- Updated the background gradient application for the dataframe display, ensuring consistent styling across different entry selections.
- Enhanced visual clarity by adjusting the gradient methods and maintaining precision formatting for better data presentation.

app.py

@@ -293,15 +293,17 @@ with tab2:
                 if entry_parse_var == 'All':
                     st.session_state['general_frame'] = create_general_exposures(working_df)
                     st.dataframe(st.session_state['general_frame'].
-                        style.background_gradient(cmap='RdYlGn', axis=1).
-                        background_gradient(cmap='RdYlGn_r', subset=['dupes'], axis=1).
+                        style.background_gradient(axis=1).
+                        background_gradient(cmap='RdYlGn').
+                        background_gradient(cmap='RdYlGn_r', subset='dupes').
                         format(precision=2),
                         hide_index=True)
                 else:
                     st.session_state['general_frame'] = create_general_exposures(working_df, entry_names)
                     st.dataframe(st.session_state['general_frame'].
-                        style.background_gradient(cmap='RdYlGn', axis=1).
-                        background_gradient(cmap='RdYlGn_r', subset=['dupes'], axis=1).
+                        style.background_gradient(axis=1).
+                        background_gradient(cmap='RdYlGn').
+                        background_gradient(cmap='RdYlGn_r', subset='dupes').
                         format(precision=2),
                         hide_index=True)