Maybe added exposures table

app.py

@@ -298,4 +298,29 @@ with tab2:
                 elif site_var1 == 'Fanduel':
                     st.session_state.working_seed = fd_lineups.copy()
             if 'data_export_display' in st.session_state:
-                st.dataframe(st.session_state.data_export_display.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(precision=2), height=1000, use_container_width = True)
+                st.dataframe(st.session_state.data_export_display.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(precision=2), height=500, use_container_width = True)
+        
+        with st.container():
+            if 'data_export_display' in st.session_state:
+                # Get the first 9 columns
+                first_9_columns = st.session_state.data_export_display.iloc[:, :9]
+                
+                # Flatten the DataFrame and count unique values
+                value_counts = first_9_columns.values.flatten().tolist()
+                value_counts = pd.Series(value_counts).value_counts()
+                
+                percentages = (value_counts / lineup_num_var * 100).round(2)
+                
+                # Create a DataFrame with the results
+                summary_df = pd.DataFrame({
+                    'Player': value_counts.index,
+                    'Frequency': value_counts.values,
+                    'Percentage': percentages.values
+                })
+                
+                # Sort by frequency in descending order
+                summary_df = summary_df.sort_values('Frequency', ascending=False)
+                
+                # Display the table
+                st.write("Player Frequency Table:")
+                st.dataframe(summary_df.style.format({'Percentage': '{:.2f}%'}), height=500, use_container_width=True)