Fix column renaming logic in app.py for player and stack counts

- Updated the renaming of columns in player and stack dataframes to use 'count' instead of 0, ensuring accurate representation in the display.
- Enhanced clarity in the data presentation by maintaining consistent naming conventions across the application.

app.py

@@ -194,14 +194,14 @@ with tab2:
             with tab1:
                 player_counts = pd.Series(list(contest_players[player_columns].values.flatten())).value_counts()
                 st.write(player_counts)
-                player_frame = player_counts.to_frame().reset_index().rename(columns={'index': 'Player', 0: 'Count'})
+                player_frame = player_counts.to_frame().reset_index().rename(columns={'index': 'Player', 'count': 'Count'})
                 player_frame['Percent'] = player_frame['Count'] / len(working_df)
                 player_frame = player_frame[['Player', 'Count', 'Percent']]
                 st.dataframe(player_frame)
             with tab2:
                 stack_counts = pd.Series(list(working_df['stack'].unique())).value_counts()
                 st.write(stack_counts)
-                stack_frame = stack_counts.to_frame().reset_index().rename(columns={'index': 'Stack', 0: 'Count'})
+                stack_frame = stack_counts.to_frame().reset_index().rename(columns={'index': 'Stack', 'count': 'Count'})
                 stack_frame['Percent'] = stack_frame['Count'] / len(working_df)
                 stack_frame = stack_frame[['Stack', 'Count', 'Percent']]
                 st.dataframe(stack_frame)