Update app.py

app.py

@@ -96,13 +96,46 @@ with tab1:
         st.download_button(
                 label="Export Tables",
                 data=convert_df_to_csv(display_frame),
-                file_name='NFL_Stack_Options_export.csv',
+                file_name='NFL_ADPs_Ranks_export.csv',
                 mime='text/csv',
         )
+        
 with tab2:
-    st.write('working on it')
+    if st.button("Load/Reset Data", key='reset2'):
+          st.cache_data.clear()
+          adp_table, stacks_table, proj_table = init_baselines()
+    stack_hold_container = st.empty()
+    working_baselines = stacks_table.copy()
+    display_frame = working_baselines.copy()
+    
+    with stack_hold_container:
+        stack_hold_container = st.empty()
+        st.dataframe(display_frame.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').background_gradient(cmap='RdYlGn_r', subset=['Min ADP', 'Avg ADP', 'Max ADP', 'Value Build', 'Value']).format(precision=2), height=750, use_container_width = True)
+    st.download_button(
+            label="Export Tables",
+            data=convert_df_to_csv(display_frame),
+            file_name='NFL_Team_Projections_export.csv',
+            mime='text/csv',
+    )
+    
 with tab3:
-    st.write('working on it')
+    if st.button("Load/Reset Data", key='reset3'):
+          st.cache_data.clear()
+          adp_table, stacks_table, proj_table = init_baselines()
+    stack_hold_container = st.empty()
+    working_baselines = proj_table.copy()
+    display_frame = working_baselines.copy()
+    
+    with stack_hold_container:
+        stack_hold_container = st.empty()
+        st.dataframe(display_frame.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(precision=2), height=750, use_container_width = True)
+    st.download_button(
+            label="Export Tables",
+            data=convert_df_to_csv(display_frame),
+            file_name='NFL_Player_Projections_export.csv',
+            mime='text/csv',
+    )
+    
 with tab4:
     col1, col2 = st.columns([1, 5])