code: def get_list_store(data_frame):
      '''
      Return a `pandas.DataFrame` containing Python type information for the
      columns in `data_frame` and a `gtk.ListStore` matching the contents of the
      data frame.
  
      Args:
  
          data_frame (pandas.DataFrame) : Data frame containing data columns.
  
      Returns:
  
          (tuple) : The first element is a data frame as returned by
              `get_py_dtypes` and the second element is a `gtk.ListStore`
              matching the contents of the data frame.
      '''
      df_py_dtypes = get_py_dtypes(data_frame)
      list_store = gtk.ListStore(*df_py_dtypes.dtype)
      for i, row_i in data_frame.iterrows():
          list_store.append(row_i.tolist())
      return df_py_dtypes, list_storf get_list_store(data_frame):
      '''
      Return a `pandas.DataFrame` containing Python type information for the
      columns in `data_frame` and a `gtk.ListStore` matching the contents of the
      data frame.
  
      Args:
  
          data_frame (pandas.DataFrame) : Data frame containing data columns.
  
      Returns:
  
          (tuple) : The first element is a data frame as returned by
              `get_py_dtypes` and the second element is a `gtk.ListStore`
              matching the contents of the data frame.
      '''
      df_py_dtypes = get_py_dtypes(data_frame)
      list_store = gtk.ListStore(*df_py_dtypes.dtype)
      for i, row_i in data_frame.iterrows():
          list_store.append(row_i.tolist())
      return df_py_dtypes, list_store
docs: Return a `pandas.DataFrame` containing Python type information for the
      columns in `data_frame` and a `gtk.ListStore` matching the contents of the
      data frame.
  
      Args:
  
          data_frame (pandas.DataFrame) : Data frame containing data columns.
  
      Returns:
  
          (tuple) : The first element is a data frame as returned by
              `get_py_dtypes` and the second element is a `gtk.ListStore`
              matching the contents of the data frame.