Refactor contest data handling in app.py for consistency and clarity

- Updated references from 'Contest' to 'contest_df' in session state to align with naming conventions.
- Adjusted calculations for salary, median, and ownership metrics to use the new 'contest_df' variable, ensuring accurate data processing.
- Enhanced pagination and display logic to reflect changes in data structure, improving user experience and data visualization.

app.py

@@ -82,7 +82,7 @@ with tab1:
 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:
+    if 'contest_df' in st.session_state and 'projections_df' in st.session_state:
         col1, col2 = st.columns([1, 8])
         excluded_cols = ['BaseName', 'EntryCount']
         with col1:
@@ -106,31 +106,31 @@ with tab2:
         }
         
         if entry_parse_var == 'Specific':
-            st.session_state['Contest'] = st.session_state['Contest'][st.session_state['Contest']['BaseName'].isin(entry_names)]
+            st.session_state['contest_df'] = st.session_state['contest_df'][st.session_state['contest_df']['BaseName'].isin(entry_names)]
         else:
-            st.session_state['Contest'] = st.session_state['Contest']
+            st.session_state['contest_df'] = st.session_state['contest_df']
         
         if type_var == 'Classic':
-            st.session_state['Contest']['salary'] = st.session_state['Contest'].apply(lambda row: sum(map_dict['salary_map'].get(player, 0) for player in row), axis=1)
-            st.session_state['Contest']['median'] = st.session_state['Contest'].apply(lambda row: sum(map_dict['proj_map'].get(player, 0) for player in row), axis=1)
-            st.session_state['Contest']['Own'] = st.session_state['Contest'].apply(lambda row: sum(map_dict['own_map'].get(player, 0) for player in row), axis=1)
+            st.session_state['contest_df']['salary'] = st.session_state['contest_df'].apply(lambda row: sum(map_dict['salary_map'].get(player, 0) for player in row), axis=1)
+            st.session_state['contest_df']['median'] = st.session_state['contest_df'].apply(lambda row: sum(map_dict['proj_map'].get(player, 0) for player in row), axis=1)
+            st.session_state['contest_df']['Own'] = st.session_state['contest_df'].apply(lambda row: sum(map_dict['own_map'].get(player, 0) for player in row), axis=1)
         elif type_var == 'Showdown':
             # Calculate salary (CPT uses cpt_salary_map, others use salary_map)
-            st.session_state['Contest']['salary'] = st.session_state['Contest'].apply(
+            st.session_state['contest_df']['salary'] = st.session_state['contest_df'].apply(
                 lambda row: map_dict['cpt_salary_map'].get(row.iloc[0], 0) + 
                           sum(map_dict['salary_map'].get(player, 0) for player in row.iloc[1:]),
                 axis=1
             )
             
             # Calculate median (CPT uses cpt_proj_map, others use proj_map)
-            st.session_state['Contest']['median'] = st.session_state['Contest'].apply(
+            st.session_state['contest_df']['median'] = st.session_state['contest_df'].apply(
                 lambda row: map_dict['cpt_proj_map'].get(row.iloc[0], 0) + 
                           sum(map_dict['proj_map'].get(player, 0) for player in row.iloc[1:]),
                 axis=1
             )
             
             # Calculate ownership (CPT uses cpt_own_map, others use own_map)
-            st.session_state['Contest']['Own'] = st.session_state['Contest'].apply(
+            st.session_state['contest_df']['Own'] = st.session_state['contest_df'].apply(
                 lambda row: map_dict['cpt_own_map'].get(row.iloc[0], 0) + 
                           sum(map_dict['own_map'].get(player, 0) for player in row.iloc[1:]),
                 axis=1
@@ -144,7 +144,7 @@ with tab2:
             
             # Calculate total pages
             rows_per_page = 500
-            total_rows = len(st.session_state['Contest'])
+            total_rows = len(st.session_state['contest_df'])
             total_pages = (total_rows + rows_per_page - 1) // rows_per_page
             
             # Create pagination controls in a single row
@@ -164,7 +164,7 @@ with tab2:
             
             # Display the paginated dataframe
             st.dataframe(
-                st.session_state['Contest'].iloc[start_idx:end_idx].style
+                st.session_state['contest_df'].iloc[start_idx:end_idx].style
                 .background_gradient(axis=0)
                 .background_gradient(cmap='RdYlGn')
                 .format(precision=2),