Refactor Streamlit app layout by encapsulating dataframes and download buttons within containers for improved organization

src/streamlit_app.py

@@ -361,14 +361,15 @@ with tab1:
     elif view_var == 'Advanced':
         final_stacks = final_stacks[['Team', 'QB', 'WR1_TE', 'WR2_TE', 'Total', 'Salary', 'Floor', 'Median', 'Ceiling', 'Top_finish', 'Top_5_finish',
                                                         'Top_10_finish', '60+%', '2x%', '3x%', '4x%', 'Own', 'LevX']]
-    st.dataframe(final_stacks.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(player_roo_format, precision=2), height=750, use_container_width = True, key='stacks_dataframe')
-    st.download_button(
-            label="Export Tables",
-            data=convert_df_to_csv(final_stacks),
-            file_name='NFL_stacks_export.csv',
-            mime='text/csv',
-            key='stacks_export_button'
-    )
+    with st.container():
+        st.dataframe(final_stacks.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(player_roo_format, precision=2), height=750, use_container_width = True, key='stacks_dataframe')
+        st.download_button(
+                label="Export Tables",
+                data=convert_df_to_csv(final_stacks),
+                file_name='NFL_stacks_export.csv',
+                mime='text/csv',
+                key='stacks_export_button'
+        )
 
 with tab2:
     with st.expander("Info and Filters"):
@@ -423,14 +424,15 @@ with tab2:
     elif view_var == 'Advanced':
         final_Proj = final_Proj[['Player', 'Position', 'Team', 'Opp', 'Salary', 'Floor', 'Median', 'Ceiling', 'Top_finish', 'Top_5_finish', 'Top_10_finish', '20+%', '2x%', '3x%', '4x%', 'Own', 'Small_Field_Own', 'Large_Field_Own', 'Cash_Field_Own', 'CPT_Own', 'LevX']]
         disp_proj = final_Proj.set_index('Player')
-    st.dataframe(disp_proj.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(player_roo_format, precision=2), height=750, use_container_width = True, key='player_dataframe')
-    st.download_button(
-        label="Export Tables",
-        data=convert_df_to_csv(final_Proj),
-        file_name='NFL_ROO_export.csv',
-        mime='text/csv',
-        key='player_export_button'
-    )
+    with st.container():
+        st.dataframe(disp_proj.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(player_roo_format, precision=2), height=750, use_container_width = True, key='player_dataframe')
+        st.download_button(
+            label="Export Tables",
+            data=convert_df_to_csv(final_Proj),
+            file_name='NFL_ROO_export.csv',
+            mime='text/csv',
+            key='player_export_button'
+        )
 
 with tab3:
     st.header("Optimals")