Update stack size handling in app.py to ensure consistent data types

- Added fillna(1).astype(int) to the stack_size column in multiple locations to ensure that missing values are replaced with 1 and the data type is consistently set to integer, enhancing data integrity during calculations.

app.py

@@ -159,6 +159,7 @@ with tab2:
         }
         # Create a copy of the dataframe for calculations
         working_df = st.session_state['Contest'].copy() 
+        working_df['stack_size'] = working_df['stack_size'].fillna(1).astype(int)
 
         if type_var == 'Classic':
             working_df['stack'] = working_df.apply(
@@ -225,6 +226,7 @@ with tab2:
             working_df['percentile_finish'] = working_df['index'].rank(pct=True)
             working_df['finish'] = working_df['index']
             working_df = working_df.drop(['sorted', 'index'], axis=1)
+            working_df['stack_size'] = working_df['stack_size'].fillna(1).astype(int)
         st.session_state['field_player_frame'] = create_player_exposures(working_df, player_columns)
         st.session_state['field_stack_frame'] = create_stack_exposures(working_df)
 
@@ -260,7 +262,6 @@ with tab2:
                     if stack_parse_var == 'Specific' and stack_names:
                         working_df = working_df[working_df['stack'].isin(stack_names)]
                     if low_stack_size_var and high_stack_size_var:
-                        working_df['stack_size'] = working_df['stack_size'].fillna(1)
                         working_df = working_df[working_df['stack_size'].between(low_stack_size_var, high_stack_size_var)]
                     # if player_parse_var == 'Specific' and player_names:
                     #     working_df = working_df[working_df['BaseName'].isin(player_names)]