Refactor data clearing functionality and enhance pagination display in app.py

- Moved the 'Clear data' button to the filters section for better accessibility and user experience.
- Added a new section to display the paginated dataframe with improved styling and formatting for clarity.
- Ensured session state management remains intact while providing a clear option for users to reset data.

app.py

@@ -82,8 +82,6 @@ with tab1:
                 st.session_state['Contest'], st.session_state['projections_df'], st.session_state['ownership_dict'], st.session_state['actual_dict'] = find_name_mismatches(st.session_state['Contest'], st.session_state['projections_df'], st.session_state['ownership_dict'], st.session_state['actual_dict'])
 
 with tab2:
-    if st.button('Clear data', key='reset3'):
-        st.session_state.clear()
     if 'Contest' in st.session_state and 'projections_df' in st.session_state:
         col1, col2 = st.columns([1, 8])
         excluded_cols = ['BaseName', 'EntryCount']
@@ -106,6 +104,8 @@ with tab2:
 
         with col1:
             with st.expander("Info and filters"):
+                if st.button('Clear data', key='reset3'):
+                    st.session_state.clear()
                 with st.form(key='filter_form'):
                     type_var = st.selectbox("Select Game Type", ['Classic', 'Showdown'])
                     entry_parse_var = st.selectbox("Do you want to view a specific player(s) or a group of players?", ['All', 'Specific'])
@@ -238,6 +238,16 @@ with tab2:
                              format(formatter='{:.2%}', subset=st.session_state['stack_frame'].select_dtypes(include=['number']).columns),
                              hide_index=True)
 
+        # Display the paginated dataframe
+        st.dataframe(
+            working_df.iloc[start_idx:end_idx].style
+            .background_gradient(axis=0)
+            .background_gradient(cmap='RdYlGn')
+            .format(precision=2), 
+            height=1000,
+            use_container_width=True,
+            hide_index=True
+        )
 
         # Initialize pagination in session state if not exists
         if 'current_page' not in st.session_state:
@@ -262,14 +272,3 @@ with tab2:
         # Calculate start and end indices for current page
         start_idx = st.session_state.current_page * rows_per_page
         end_idx = min((st.session_state.current_page + 1) * rows_per_page, total_rows)
-
-        # Display the paginated dataframe
-        st.dataframe(
-            working_df.iloc[start_idx:end_idx].style
-            .background_gradient(axis=0)
-            .background_gradient(cmap='RdYlGn')
-            .format(precision=2), 
-            height=1000,
-            use_container_width=True,
-            hide_index=True
-        )