Enhance player exposure dataframe display in app.py

- Updated the logic for displaying the player exposure dataframe to include a more precise percentage formatting for numeric columns.
- Maintained the sorting and background gradient features, improving the overall clarity and visual appeal of the data presentation.

app.py

@@ -212,7 +212,11 @@ with tab2:
                     else:
                         st.session_state['player_frame'] = pd.merge(st.session_state['player_frame'], set_frame, on='Player', how='outer')
                     count_var += 1
-                st.dataframe(st.session_state['player_frame'].sort_values(by='Exposure Overall', ascending=False).style.background_gradient(cmap='RdYlGn').format(player_exposure_format, precision=2), hide_index=True)
+                st.dataframe(st.session_state['player_frame'].
+                             sort_values(by='Exposure Overall', ascending=False).
+                             style.background_gradient(cmap='RdYlGn').
+                             format(formatter='{:.2%}', subset=st.session_state['player_frame'].select_dtypes(include=['number']).columns),
+                             hide_index=True)
             with tab2:
                 stack_counts = pd.Series(list(working_df['stack'])).value_counts()
                 stack_frame = stack_counts.to_frame().reset_index().rename(columns={'index': 'Stack', 'count': 'Count'})