Update app.py

app.py

@@ -427,9 +427,21 @@ with tab1:
                 )  
                 
         with st.container():
-            tab1, tab2, tab3, tab4, tab5, tab6, tab7, tab8, tab9 = st.tabs(['CPT Exposures', 'TOP Exposures', 'JNG Exposures', 'MID Exposures', 'ADC Exposures', 'SUP Exposures', 'Team Exposures', 'Overall Exposures', 'Stack Exposures'])
+            tab1, tab2, tab3, tab4, tab5, tab6, tab7, tab8, tab9 = st.tabs(['Stack Exposures', 'Overall Exposures', 'CPT Exposures', 'TOP Exposures', 'JNG Exposures', 'MID Exposures', 'ADC Exposures', 'SUP Exposures', 'Team Exposures'])
             
             with tab1:
+                if 'stack_freq' in st.session_state:
+                    
+                    st.dataframe(st.session_state.stack_freq.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(percentages_format, precision=2), use_container_width = True)
+                    st.download_button(
+                        label="Export Exposures",
+                        data=st.session_state.stack_freq.to_csv().encode('utf-8'),
+                        file_name='stack_freq.csv',
+                        mime='text/csv',
+                        key='stack'
+                    )
+
+            with tab2:
                 if 'cpt_freq' in st.session_state and st.session_state.cpt_freq is not None:
 
                     st.dataframe(st.session_state.cpt_freq.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(freq_format, precision=2), use_container_width=True)
@@ -443,7 +455,8 @@ with tab1:
 
                 else:
                     st.write("CPT frequency data is not available yet.")
-            with tab2:
+
+            with tab3:
                 if 'top_freq' in st.session_state and st.session_state.top_freq is not None:
                     
                     st.dataframe(st.session_state.top_freq.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(freq_format, precision=2), use_container_width = True)
@@ -456,7 +469,8 @@ with tab1:
                     )
                 else:
                     st.write("TOP frequency data is not available yet.")
-            with tab3:
+
+            with tab4:
                 if 'jng_freq' in st.session_state and st.session_state.jng_freq is not None:
                     
                     st.dataframe(st.session_state.jng_freq.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(freq_format, precision=2), use_container_width = True)
@@ -467,7 +481,8 @@ with tab1:
                         mime='text/csv',
                         key='jng'
                     )
-            with tab4:
+
+            with tab5:
                 if 'mid_freq' in st.session_state:
                     
                     st.dataframe(st.session_state.mid_freq.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(freq_format, precision=2), use_container_width = True)
@@ -478,7 +493,8 @@ with tab1:
                         mime='text/csv',
                         key='mid'
                     )
-            with tab5:
+
+            with tab6:
                 if 'adc_freq' in st.session_state:
                     
                     st.dataframe(st.session_state.adc_freq.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(freq_format, precision=2), use_container_width = True)
@@ -489,7 +505,8 @@ with tab1:
                         mime='text/csv',
                         key='adc'
                     )
-            with tab6:
+
+            with tab7:
                 if 'sup_freq' in st.session_state:
                     
                     st.dataframe(st.session_state.sup_freq.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(freq_format, precision=2), use_container_width = True)
@@ -500,7 +517,8 @@ with tab1:
                         mime='text/csv',
                         key='sup'
                     )
-            with tab7:
+
+            with tab8:
                 if 'team_freq' in st.session_state:
                     
                     st.dataframe(st.session_state.team_freq.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(freq_format, precision=2), use_container_width = True)
@@ -511,7 +529,8 @@ with tab1:
                         mime='text/csv',
                         key='team'
                     )
-            with tab8:
+                    
+            with tab9:
                 if 'player_freq' in st.session_state:
                     
                     st.dataframe(st.session_state.player_freq.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(freq_format, precision=2), use_container_width = True)
@@ -522,14 +541,4 @@ with tab1:
                         mime='text/csv',
                         key='overall'
                     )
-            with tab9:
-                if 'stack_freq' in st.session_state:
-                    
-                    st.dataframe(st.session_state.stack_freq.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(percentages_format, precision=2), use_container_width = True)
-                    st.download_button(
-                        label="Export Exposures",
-                        data=st.session_state.stack_freq.to_csv().encode('utf-8'),
-                        file_name='stack_freq.csv',
-                        mime='text/csv',
-                        key='stack'
-                    )
+