Update examples/basic/mining_nar.py

Co-authored-by: BUYT-1 <[email protected]>

examples/basic/mining_nar.py

@@ -109,11 +109,11 @@ def print_10_discovered_nars(algo, table):
         line_number_counter += 1
 
     hound_row_strings = hound_rows[['Name', 'Type', 'Intelligence', 'Size']].to_string().splitlines()
-    for i in range(0, len(hound_row_strings)):
-        if i-1 in red_line_indices:
-            print(CLR['red_bg'], hound_row_strings[i], CLR['default_bg'])
+    for i, hound_row_string in enumerate(hound_row_strings, start=-1):
+        if i in red_line_indices:
+            print(CLR['red_bg'], hound_row_string, CLR['default_bg'])
         else:
-            print(hound_row_strings[i])
+            print(hound_row_string)
 
     print("\nAs can be seen, only 2 rows that have 'Type' equal to 'Hound' don't "
           "have an intelligence rating between 6 and 8. These two records explain "