experiment

functions/calc_matches.py

@@ -21,7 +21,7 @@ def calc_matches(filtered_df, project_df, similarity_matrix, top_x):
     flat_matrix = dense_match_matrix.flatten()
     
     # Get the indices of the top 15 values in the flattened matrix
-    top_15_indices = np.argsort(flat_matrix)[-top_x:][::-1]
+    top_15_indices = np.argsort(flat_matrix)[:top_x][::-1]
 
     # Convert flat indices back to 2D indices
     top_15_2d_indices = np.unravel_index(top_15_indices, dense_match_matrix.shape)

modules/multimatch_result_table.py

@@ -8,7 +8,7 @@ def show_multi_table(p1_df, p2_df):
         p2_df = p2_df.reset_index(drop=True)
 
         actual_ind = 0
-        for i in range(len(p1_df) - 1, -1, 2): # stepsize because project matchs in both ways and it should only display a match one time
+        for i in range(len(p1_df) - 1, -1, -2): # stepsize because project matchs in both ways and it should only display a match one time
             actual_ind += 1
             match_df = pd.DataFrame()
             row_from_p1 = p1_df.iloc[[i]]