code: def parsecounts(table, field, parsers=(('int', int), ('float', float))):
      
  
      return ParseCountsView(table, field, parsers=parsers)
docs: Count the number of `str` or `unicode` values that can be parsed as ints,
      floats or via custom parser functions. Return a table mapping parser names
      to the number of values successfully parsed and the number of errors. E.g.::
  
          >>> import petl as etl
          >>> table = [['foo', 'bar', 'baz'],
          ...          ['A', 'aaa', 2],
          ...          ['B', u'2', '3.4'],
          ...          [u'B', u'3', u'7.8', True],
          ...          ['D', '3.7', 9.0],
          ...          ['E', 42]]
          >>> etl.parsecounts(table, 'bar')
          +---------+-------+--------+
          | type    | count | errors |
          +=========+=======+========+
          | 'float' |     3 |      1 |
          +---------+-------+--------+
          | 'int'   |     2 |      2 |
          +---------+-------+--------+
  
      The `field` argument can be a field name or index (starting from zero).