old_contents: #! /usr/bin/env python
  
  """Name of dataset."""
  
  __docformat__ = 'restructuredtext'
  
  COPYRIGHT   = """This is public domain."""
  TITLE       = """Engel food expenditure data"""
  SOURCE      = """
  This dataset was used in Koenker and Bassett (1982) and distributed alongside
  the ``quantreg`` package for R.
  
  Koenker, R. and Bassett, G (1982) Robust Tests of Heteroscedasticity based on
  Regression Quantiles; Econometrica 50, 43–61.
  
  Roger Koenker (2012). quantreg: Quantile Regression. R package version 4.94.
  http://CRAN.R-project.org/package=quantreg
  """
  
  DESCRSHORT  = """Engel food expenditure data."""
  
  DESCRLONG   = """Data on income and food expenditure for 235 working class households in Belgium."""
  
  #suggested notes
  NOTE        = """
  Number of observations: 235
  Number of variables: 2
  Variable name definitions:
      income - annual household income (Belgian francs)
      foodexp - annual household food expenditure (Belgian francs)
  """
  
  import numpy as np
  from statsmodels.datasets import utils as du
  from os.path import dirname, abspath
  
  def load():
      """
      Load the data and return a Dataset class instance.
  
      Returns
      -------
      Dataset instance:
          See DATASET_PROPOSAL.txt for more information.
      """
      data = _get_data()
      ##### SET THE INDICES #####
      #NOTE: None for exog_idx is the complement of endog_idx
      return du.process_recarray(data, endog_idx=0, exog_idx=None, dtype=float)
  
  def load_pandas():
      data = _get_data()
      ##### SET THE INDICES #####
      #NOTE: None for exog_idx is the complement of endog_idx
      return du.process_recarray_pandas(data, endog_idx=0, exog_idx=None,
                                        dtype=float)
  
  def _get_data():
      filepath = dirname(abspath(__file__))
      ##### EDIT THE FOLLOWING TO POINT TO DatasetName.csv #####
      data = np.recfromtxt(open(filepath + '/engel.csv', 'rb'),
              delimiter=",", names = True, dtype=float)
      return data
  
new_contents: #! /usr/bin/env python
  
  """Name of dataset."""
  
  __docformat__ = 'restructuredtext'
  
  COPYRIGHT   = """This is public domain."""
  TITLE       = """Engel (1857) food expenditure data"""
  SOURCE      = """
  This dataset was used in Koenker and Bassett (1982) and distributed alongside
  the ``quantreg`` package for R.
  
  Koenker, R. and Bassett, G (1982) Robust Tests of Heteroscedasticity based on
  Regression Quantiles; Econometrica 50, 43–61.
  
  Roger Koenker (2012). quantreg: Quantile Regression. R package version 4.94.
  http://CRAN.R-project.org/package=quantreg
  """
  
  DESCRSHORT  = """Engel food expenditure data."""
  
  DESCRLONG   = """Data on income and food expenditure for 235 working class households in 1857 Belgium."""
  
  #suggested notes
  NOTE        = """
  Number of observations: 235
  Number of variables: 2
  Variable name definitions:
      income - annual household income (Belgian francs)
      foodexp - annual household food expenditure (Belgian francs)
  """
  
  import numpy as np
  from statsmodels.datasets import utils as du
  from os.path import dirname, abspath
  
  def load():
      """
      Load the data and return a Dataset class instance.
  
      Returns
      -------
      Dataset instance:
          See DATASET_PROPOSAL.txt for more information.
      """
      data = _get_data()
      ##### SET THE INDICES #####
      #NOTE: None for exog_idx is the complement of endog_idx
      return du.process_recarray(data, endog_idx=0, exog_idx=None, dtype=float)
  
  def load_pandas():
      data = _get_data()
      ##### SET THE INDICES #####
      #NOTE: None for exog_idx is the complement of endog_idx
      return du.process_recarray_pandas(data, endog_idx=0, exog_idx=None,
                                        dtype=float)
  
  def _get_data():
      filepath = dirname(abspath(__file__))
      ##### EDIT THE FOLLOWING TO POINT TO DatasetName.csv #####
      data = np.recfromtxt(open(filepath + '/engel.csv', 'rb'),
              delimiter=",", names = True, dtype=float)
      return data
  
subject: add date