Update app.py

app.py

@@ -131,40 +131,30 @@ with tab1:
                     stack_var2 = [4, 3, 2, 1, 0]
             
     with col2:
-        if st.button("Load Seed Frame", key='seed_frame_load'):
-            if site_var1 == 'Draftkings':
-                
-                st.session_state.working_seed = DK_seed.copy()
-                st.session_state.working_seed_parse = st.session_state.working_seed[np.isin(st.session_state.working_seed[:, 2], team_var2)]
-                st.session_state.working_seed_parse = st.session_state.working_seed_parse[np.isin(st.session_state.working_seed_parse[:, 3], stack_var2)]
-                st.session_state.data_export_display = pd.DataFrame(st.session_state.working_seed[0:1000], columns=column_names)
-                st.session_state.data_export_display = st.session_state.data_export_display.copy()
-                
-                # 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)
-                        
-            elif site_var1 == 'Fanduel':
-                
-                st.session_state.working_seed = FD_seed.copy()
-                st.session_state.working_seed_parse = st.session_state.working_seed[np.isin(st.session_state.working_seed[:, 2], team_var2)]
-                st.session_state.working_seed_parse = st.session_state.working_seed_parse[np.isin(st.session_state.working_seed_parse[:, 3], stack_var2)]
-                st.session_state.data_export_display = pd.DataFrame(st.session_state.working_seed[0:1000], columns=column_names)
-                st.session_state.data_export_display = st.session_state.data_export_display.copy()
-                
-                # 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 site_var1 == 'Draftkings':
+            
+            st.session_state.working_seed = DK_seed.copy()
+            st.session_state.working_seed = st.session_state.working_seed[np.isin(st.session_state.working_seed[:, 2], team_var2)]
+            st.session_state.working_seed = st.session_state.working_seed[np.isin(st.session_state.working_seed[:, 3], stack_var2)]
+            st.session_state.data_export_display = pd.DataFrame(st.session_state.working_seed[0:1000], columns=column_names)
+            
+            # st.session_state.data_export_freq = calculate_value_frequencies(st.session_state.data_export)
+            
+        elif site_var1 == 'Fanduel':
+            
+            st.session_state.working_seed = FD_seed.copy()
+            st.session_state.working_seed = st.session_state.working_seed[np.isin(st.session_state.working_seed[:, 2], team_var2)]
+            st.session_state.working_seed = st.session_state.working_seed[np.isin(st.session_state.working_seed[:, 3], stack_var2)]
+            st.session_state.data_export_display = pd.DataFrame(st.session_state.working_seed[0:1000], columns=column_names)
+            
+            # 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 = st.session_state.working_seed.copy()