update

pages/2_Evaluation.py

@@ -43,33 +43,16 @@ def app():
 
             if st.button('Evaluate Data'):
                 with st.spinner('Evaluating data...'):
-                    # Existing statistical tests
                     statistical_results = statistical_tests(df)
-                    #st.write('Test Results:', test_results)
-                    # evaluation_results = result_evaluation(test_results)
-                    # st.write('Evaluation Results:', evaluation_results)
-
-                    # New correlation calculations
                     correlation_results = calculate_correlations(df)
-                    #st.write('Correlation Results:', correlation_results)
-
-                    # New divergence calculations
                     divergence_results = calculate_divergences(df)
-                    #st.write('Divergence Results:', divergence_results)
-
-                    # Flatten the results for combining
-                    #flat_test_results = {f"{key1}_{key2}": value2 for key1, value1 in test_results.items() for key2, value2
-                                         #in (value1.items() if isinstance(value1, dict) else {key1: value1}.items())}
 
                     flat_statistical_results = {f"Statistical_{key1}": value1 for key1, value1 in statistical_results.items()}
-
                     flat_correlation_results = {f"Correlation_{key1}": value1 for key1, value1 in correlation_results.items()}
                     flat_divergence_results = {f"Divergence_{key1}": value1 for key1, value1 in divergence_results.items()}
 
-                    # Combine all results
                     results_combined = {**flat_statistical_results, **flat_correlation_results, **flat_divergence_results}
 
-                    # Convert to DataFrame for download
                     results_df = pd.DataFrame(list(results_combined.items()), columns=['Metric', 'Value'])
 
                     st.write('Combined Results:', results_df)