code: def load_csv_stream(ctx, model, data,
                      header=None, header_exclude=None, **fmtparams):
      
      _header, _rows = read_csv(data, **fmtparams)
      header = header if header else _header
      if _rows:
          # check if passed header contains all the fields
          if header != _header and not header_exclude:
              # if not, we exclude the rest of the fields
              header_exclude = [x for x in _header if x not in header]
          if header_exclude:
              # exclude fields from header as well as respective values
              header = [x for x in header if x not in header_exclude]
              # we must loop trough all the rows too to pop values
              # since odoo import works only w/ reader and not w/ dictreader
              pop_idxs = [_header.index(x) for x in header_exclude]
              rows = []
              for i, row in enumerate(_rows):
                  rows.append(
                      [x for j, x in enumerate(row) if j not in pop_idxs]
                  )
          else:
              rows = list(_rows)
          if rows:
              load_rows(ctx, model, header, rows)
docs: Load a CSV from a stream.
  
      :param ctx: current anthem context
      :param model: model name as string or model klass
      :param data: csv data to load
      :param header: csv fieldnames whitelist
      :param header_exclude: csv fieldnames blacklist
  
      Usage example::
  
        from pkg_resources import Requirement, resource_stream
  
        req = Requirement.parse('my-project')
        load_csv_stream(ctx, ctx.env['res.users'],
                        resource_stream(req, 'data/users.csv'),
                        delimiter=',')