code: def randomtable(numflds=5, numrows=100, wait=0, seed=None):
      
  
      return RandomTable(numflds, numrows, wait=wait, seed=seed)
docs: Construct a table with random numerical data. Use `numflds` and `numrows` to
      specify the number of fields and rows respectively. Set `wait` to a float
      greater than zero to simulate a delay on each row generation (number of
      seconds per row). E.g.::
  
          >>> import petl as etl
          >>> table = etl.randomtable(3, 100, seed=42)
          >>> table
          +----------------------+----------------------+---------------------+
          | f0                   | f1                   | f2                  |
          +======================+======================+=====================+
          |   0.6394267984578837 | 0.025010755222666936 | 0.27502931836911926 |
          +----------------------+----------------------+---------------------+
          |  0.22321073814882275 |   0.7364712141640124 |  0.6766994874229113 |
          +----------------------+----------------------+---------------------+
          |   0.8921795677048454 |  0.08693883262941615 |  0.4219218196852704 |
          +----------------------+----------------------+---------------------+
          | 0.029797219438070344 |  0.21863797480360336 |  0.5053552881033624 |
          +----------------------+----------------------+---------------------+
          | 0.026535969683863625 |   0.1988376506866485 |  0.6498844377795232 |
          +----------------------+----------------------+---------------------+
          ...
  
      Note that the data are generated on the fly and are not stored in memory,
      so this function can be used to simulate very large tables.