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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def growth(interval, pricecol, eqdata):
 """ 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 """

    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