parameters: (self, name)
return_statement: return deconstruct_numpy(data, mask)
docstring: For columnar datasets, return the :obj:`list`/Numpy array that
          contains the data for a single column.
  
          Args:
              name (:obj:`str`): the column name to look up
  
          Returns:
              (:obj:`list`/numpy.array/None): returns the column's data, or None
                  if it cannot be found.
docstring_summary: For columnar datasets, return the :obj:`list`/Numpy array that
          contains the data for a single column.
docstring_tokens: For columnar datasets return the : obj : list / Numpy array that contains the data for a single column .
function: def _get_numpy_column(self, name):
          """For columnar datasets, return the :obj:`list`/Numpy array that
          contains the data for a single column.
  
          Args:
              name (:obj:`str`): the column name to look up
  
          Returns:
              (:obj:`list`/numpy.array/None): returns the column's data, or None
                  if it cannot be found.
          """
          data = self._data_or_schema.get(name, None)
          if data is None:
              raise PerspectiveError("Column `{0}` does not exist.".format(name))
          mask = self._numpy_column_masks.get(name, None)
          return deconstruct_numpy(data, mask)
function_tokens: def _get_numpy_column ( self , name ) : data = self . _data_or_schema . get ( name , None ) if data is None : raise PerspectiveError ( "Column `{0}` does not exist." . format ( name ) ) mask = self . _numpy_column_masks . get ( name , None ) return deconstruct_numpy ( data , mask )