Update utils.py

utils.py

@@ -99,7 +99,7 @@ def process_dataframe(df):
 
     # Create a DataFrame from the new data
     new_df = pd.DataFrame(new_data)
-
+    new_df=new_df.reset_index(name='Pattern')
     # Calculate I-Support by dividing I-Frequency with num_student
     new_df['I-Support (mean)'] = new_df['I-Frequency'] / num_student
     new_df['S-Support'] = new_df['S-Frequency'] / num_student
@@ -148,7 +148,7 @@ def calculate_p_value(test_type, vector_a, vector_b=None, **kwargs):
         # Ansari-Bradley test for equal scale parameters
         result = stats.ansari(vector_a, vector_b, **kwargs)
     elif test_type == 'cramervonmises_2samp':
-        # Two-sample Cram�r-von Mises test for goodness of fit
+        # Two-sample Cram�r-von Mises test for goodness of fit
         result = stats.cramervonmises_2samp(vector_a, vector_b, **kwargs)
     elif test_type == 'epps_singleton_2samp':
         # Epps-Singleton (ES) test statistic