docs: def dataframe(self, dtype=False, parse_dates=True,  *args, **kwargs):
          """Return a pandas datafrome from the resource"""
  
          import pandas as pd
  
          rg = self.row_generator
  
          t = self.resolved_url.get_resource().get_target()
  
          if t.target_format == 'csv':
              return self.read_csv(dtype, parse_dates, *args, **kwargs)
  
          # Maybe generator has it's own Dataframe method()
          try:
  
              return rg.dataframe( *args, **kwargs)
          except AttributeError:
              pass
  
          # Just normal data, so use the iterator in this object.
          headers = next(islice(self, 0, 1))
          data = islice(self, 1, None)
  
          df = pd.DataFrame(list(data), columns=headers,  *args, **kwargs)
  
          self.errors = df.metatab_errors = rg.errors if hasattr(rg, 'errors') and rg.errors else {}
  
          return df