experiment

functions/calc_matches.py

@@ -31,21 +31,23 @@ def calc_matches(filtered_df, project_df, similarity_matrix, top_x):
 
     # Prepare the result with row and column indices from original dataframes
     top_15_matches = []
+    org_rows = []
+    org_cols = []
     for value, row, col in zip(top_15_values, top_15_2d_indices[0], top_15_2d_indices[1]):
         original_row_index = project_indices[row]
         original_col_index = filtered_indices[col]
+        org_rows.append(original_row_index)
+        org_cols.append(original_col_index)
         top_15_matches.append((value, original_row_index, original_col_index))
     
     st.write(top_15_matches)
 
 
-    """
-    p1_df = filtered_df.loc[top_col_indices].copy()
-    p1_df['similarity'] = top_values
+    p1_df = filtered_df.loc[org_cols].copy()
+    p1_df['similarity'] = top_15_values
 
-    p2_df = project_df.loc[top_row_indices].copy()
-    p2_df['similarity'] = top_values
+    p2_df = project_df.loc[org_rows].copy()
+    p2_df['similarity'] = top_15_values
     print("finished calc matches")
 
     return p1_df, p2_df
-    """