Update app.py

app.py

@@ -219,14 +219,14 @@ with tab1:
                     st.session_state.working_seed = st.session_state.working_seed[np.isin(st.session_state.working_seed[:, 12], stack_var2)]
                     st.session_state.data_export_display = pd.DataFrame(st.session_state.working_seed[0:1000], columns=column_names)
                 
-            with st.container():
-                if 'data_export_display' in st.session_state:
-                    try:
-                        st.table(st.session_state.data_export_display)
-                    except:
-                        st.write("resources low, waiting 5 seconds and trying again")
-                        time.sleep(5)
-                        st.table(st.session_state.data_export_display)
+        with st.container():
+            if 'data_export_display' in st.session_state:
+                try:
+                    st.table(st.session_state.data_export_display)
+                except:
+                    st.write("resources low, waiting 5 seconds and trying again")
+                    time.sleep(5)
+                    st.table(st.session_state.data_export_display)
             
 with tab2:
     col1, col2 = st.columns([1, 7])
@@ -355,81 +355,7 @@ with tab2:
                                                     columns=['Player','Freq']).sort_values('Freq', ascending=False).reset_index(drop=True)
                 st.session_state.stack_freq['Freq'] = st.session_state.stack_freq['Freq'].astype(int)
                 st.session_state.stack_freq['Exposure'] = st.session_state.stack_freq['Freq']/(1000)
-
-                with st.container():
-                    try:
-                        st.dataframe(st.session_state.Sim_Winner_Frame)
-                    except:
-                        st.write("resources low, waiting 5 seconds and trying again")
-                        time.sleep(5)
-                        st.dataframe(st.session_state.Sim_Winner_Frame)
                 
-                with st.container():
-                    tab1, tab2, tab3, tab4 = st.tabs(['Overall Exposures', 'SP Exposures', 'Team Exposures', 'Stack Size Exposures'])
-                    with tab1:
-                        if 'player_freq' in st.session_state:
-                            
-                            try:
-                                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)
-                            except:
-                                st.write("resources low, waiting 5 seconds and trying again")
-                                time.sleep(5)
-                                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)
-                            st.download_button(
-                                label="Export Exposures",
-                                data=st.session_state.player_freq.to_csv().encode('utf-8'),
-                                file_name='player_freq_export.csv',
-                                mime='text/csv',
-                                key='overall'
-                            )
-                    with tab2:
-                        if 'sp_freq' in st.session_state:
-                            
-                            try:
-                                st.dataframe(st.session_state.sp_freq.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(freq_format, precision=2), use_container_width = True)
-                            except:
-                                st.write("resources low, waiting 5 seconds and trying again")
-                                time.sleep(5)
-                                st.dataframe(st.session_state.sp_freq.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(freq_format, precision=2), use_container_width = True)
-                            st.download_button(
-                                label="Export Exposures",
-                                data=st.session_state.sp_freq.to_csv().encode('utf-8'),
-                                file_name='sp_freq.csv',
-                                mime='text/csv',
-                                key='sp'
-                            )
-                    with tab3:
-                        if 'team_freq' in st.session_state:
-                            
-                            try:
-                                st.dataframe(st.session_state.team_freq.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(percentages_format, precision=2), use_container_width = True)
-                            except:
-                                st.write("resources low, waiting 5 seconds and trying again")
-                                time.sleep(5)
-                                st.dataframe(st.session_state.team_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.team_freq.to_csv().encode('utf-8'),
-                                file_name='team_freq.csv',
-                                mime='text/csv',
-                                key='team'
-                            )
-                    with tab4:
-                        if 'stack_freq' in st.session_state:
-                            
-                            try:
-                                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)
-                            except:
-                                st.write("resources low, waiting 5 seconds and trying again")
-                                time.sleep(5)
-                                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'
-                            )
             else:
                 if sim_site_var1 == 'Draftkings':
                     st.session_state.working_seed = DK_seed.copy()
@@ -519,77 +445,52 @@ with tab2:
                 st.session_state.stack_freq['Freq'] = st.session_state.stack_freq['Freq'].astype(int)
                 st.session_state.stack_freq['Exposure'] = st.session_state.stack_freq['Freq']/(1000)
 
-                with st.container():
-                    try:
-                        st.dataframe(st.session_state.Sim_Winner_Frame)
-                    except:
-                        st.write("resources low, waiting 5 seconds and trying again")
-                        time.sleep(5)
-                        st.dataframe(st.session_state.Sim_Winner_Frame)
-                
-                with st.container():
-                    tab1, tab2, tab3, tab4 = st.tabs(['Overall Exposures', 'SP Exposures', 'Team Exposures', 'Stack Size Exposures'])
-                    with tab1:
-                        if 'player_freq' in st.session_state:
-                            
-                            try:
-                                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)
-                            except:
-                                st.write("resources low, waiting 5 seconds and trying again")
-                                time.sleep(5)
-                                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)
-                            st.download_button(
-                                label="Export Exposures",
-                                data=st.session_state.player_freq.to_csv().encode('utf-8'),
-                                file_name='player_freq_export.csv',
-                                mime='text/csv',
-                                key='overall'
-                            )
-                    with tab2:
-                        if 'sp_freq' in st.session_state:
-                            
-                            try:
-                                st.dataframe(st.session_state.sp_freq.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(freq_format, precision=2), use_container_width = True)
-                            except:
-                                st.write("resources low, waiting 5 seconds and trying again")
-                                time.sleep(5)
-                                st.dataframe(st.session_state.sp_freq.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(freq_format, precision=2), use_container_width = True)
-                            st.download_button(
-                                label="Export Exposures",
-                                data=st.session_state.sp_freq.to_csv().encode('utf-8'),
-                                file_name='sp_freq.csv',
-                                mime='text/csv',
-                                key='sp'
-                            )
-                    with tab3:
-                        if 'team_freq' in st.session_state:
-                            
-                            try:
-                                st.dataframe(st.session_state.team_freq.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(percentages_format, precision=2), use_container_width = True)
-                            except:
-                                st.write("resources low, waiting 5 seconds and trying again")
-                                time.sleep(5)
-                                st.dataframe(st.session_state.team_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.team_freq.to_csv().encode('utf-8'),
-                                file_name='team_freq.csv',
-                                mime='text/csv',
-                                key='team'
-                            )
-                    with tab4:
-                        if 'stack_freq' in st.session_state:
-                            
-                            try:
-                                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)
-                            except:
-                                st.write("resources low, waiting 5 seconds and trying again")
-                                time.sleep(5)
-                                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 st.container():
+            st.dataframe(st.session_state.Sim_Winner_Frame)
+            
+        with st.container():
+            tab1, tab2, tab3, tab4 = st.tabs(['Overall Exposures', 'SP Exposures', 'Team Exposures', 'Stack Size Exposures'])
+            with tab1:
+                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)
+                    st.download_button(
+                        label="Export Exposures",
+                        data=st.session_state.player_freq.to_csv().encode('utf-8'),
+                        file_name='player_freq_export.csv',
+                        mime='text/csv',
+                        key='overall'
+                    )
+            with tab2:
+                if 'sp_freq' in st.session_state:
+                    
+                    st.dataframe(st.session_state.sp_freq.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(freq_format, precision=2), use_container_width = True)
+                    st.download_button(
+                        label="Export Exposures",
+                        data=st.session_state.sp_freq.to_csv().encode('utf-8'),
+                        file_name='sp_freq.csv',
+                        mime='text/csv',
+                        key='sp'
+                    )
+            with tab3:
+                if 'team_freq' in st.session_state:
+                    
+                    st.dataframe(st.session_state.team_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.team_freq.to_csv().encode('utf-8'),
+                        file_name='team_freq.csv',
+                        mime='text/csv',
+                        key='team'
+                    )
+            with tab4:
+                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'
+                    )