Update app.py

app.py

@@ -154,7 +154,8 @@ with tab1:
                 with st.container():
                     if 'data_export_freq' in st.session_state:
                         st.dataframe(st.session_state.data_export_freq.style.format(percentages_format, precision=2), height=500, use_container_width=True)
-        if st.button("Prepare data export", key='data_export')
+        
+        if st.button("Prepare data export", key='data_export'):
             st.session_state.data_export = working_seed.copy()
                     if 'data_export' in st.session_state:
                             st.download_button(
@@ -167,26 +168,29 @@ with tab1:
             elif site_var1 == 'Fanduel':
                 
                 working_seed = init_FD_seed_frame()
-                working_seed_parse = working_seed[np.isin(working_seed[:, 2], team_var2)]
-                working_seed_parse = working_seed[np.isin(working_seed[:, 3], stack_var2)]
-                data_export_display = working_seed_parse[0:1000]
+#                working_seed_parse = working_seed[np.isin(working_seed[:, 2], team_var2)]
+#                working_seed_parse = working_seed[np.isin(working_seed[:, 3], stack_var2)]
+                data_export_display = pd.DataFrame(working_seed[0:1000], columns=column_names)
                 st.session_state.data_export_display = data_export_display.copy()
-                st.session_state.data_export = working_seed.copy()
-                st.session_state.data_export_freq = calculate_value_frequencies(my_array)
                 
-                if 'data_export' in st.session_state:
-                        st.download_button(
-                            label="Export optimals set",
-                            data=convert_df(st.session_state.data_export),
-                            file_name='MLB_optimals_export.csv',
-                            mime='text/csv',
-                        )
+#                st.session_state.data_export_freq = calculate_value_frequencies(st.session_state.data_export)
+                
                 with st.container():
                     if 'data_export_display' in st.session_state:
                         st.dataframe(st.session_state.data_export_display.style.format(precision=2), height=500, use_container_width=True)
                 with st.container():
                     if 'data_export_freq' in st.session_state:
                         st.dataframe(st.session_state.data_export_freq.style.format(percentages_format, precision=2), height=500, use_container_width=True)
+        
+        if st.button("Prepare data export", key='data_export'):
+            st.session_state.data_export = working_seed.copy()
+                    if 'data_export' in st.session_state:
+                            st.download_button(
+                                label="Export optimals set",
+                                data=convert_df(st.session_state.data_export),
+                                file_name='MLB_optimals_export.csv',
+                                mime='text/csv',
+                            )
             
 with tab2:
     col1, col2 = st.columns([1, 7])