code: def growth(interval, pricecol, eqdata):
      
      size = len(eqdata.index)
      labeldata = eqdata.loc[:, pricecol].values[interval:] /\
              eqdata.loc[:, pricecol].values[:(size - interval)]
      df = pd.DataFrame(data=labeldata, index=eqdata.index[:(size - interval)],
              columns=['Growth'], dtype='float64')
      return df
docs: Retrieve growth labels.
  
      Parameters
      --------------
      interval : int
          Number of sessions over which growth is measured. For example, if
          the value of 32 is passed for `interval`, the data returned will 
          show the growth 32 sessions ahead for each data point.
      eqdata : DataFrame
          Data for evaluating growth.
      pricecol : str
          Column of `eqdata` to be used for prices (Normally 'Adj Close').
  
      Returns
      --------
      labels : DataFrame
          Growth labels for the specified period
      skipatend : int
          Number of rows skipped at the end of `eqdata` for the given labels.
          Used to synchronize labels and features.
  
      Examples
      ---------------
      >>> from functools import partial
      >>> features, labels = pn.data.labeledfeatures(eqdata, 256, 
      ...        partial(pn.data.lab.growth, 32, 'Adj Close'))