code: def get_column(cls, name):
          
          clsdict = vars(cls)
          try:
              maybe_column = clsdict[name]
              if not isinstance(maybe_column, _BoundColumnDescr):
                  raise KeyError(name)
          except KeyError:
              raise AttributeError(
                  "{dset} has no column {colname!r}:\n\n"
                  "Possible choices are:\n"
                  "{choices}".format(
                      dset=cls.qualname,
                      colname=name,
                      choices=bulleted_list(
                          sorted(cls._column_names),
                          max_count=10,
                      ),
                  )
              )
  
          # Resolve column descriptor into a BoundColumn.
          return maybe_column.__get__(None, cls)
docs: Look up a column by name.
  
          Parameters
          ----------
          name : str
              Name of the column to look up.
  
          Returns
          -------
          column : zipline.pipeline.data.BoundColumn
              Column with the given name.
  
          Raises
          ------
          AttributeError
              If no column with the given name exists.