docs: def get(eqprice, callprice, strike, shares=1, buycomm=0., excomm=0., dividend=0.):
      """
      Metrics for covered calls.
  
      Parameters
      ----------
      eqprice : float
          Price at which stock is purchased.
      callprice : float
          Price for which call is sold.
      strike : float
          Strike price of call sold.
      shares : int, optional
          Number of shares of stock. Defaults to 1.
      buycomm : float, optional
          Commission paid on total initial purchase.
      excomm : float optional
          Commission to be paid if option is exercised.
      dividend : float, optional
          Total dividends per share expected between purchase and expiration.
  
      Returns
      ----------
      metrics : :class:`pandas.DataFrame`
          Investment metrics
  
      Notes
      -----
      Cf. Lawrence McMillan, Options as a Strategic Investment, 5th ed., p. 43
      """
      _index = ['Eq Cost', 'Option Premium', 'Commission', 'Total Invested', 'Dividends', 'Eq if Ex', 
              'Comm if Ex', 'Profit if Ex', 'Ret if Ex', 'Profit if Unch', 'Ret if Unch', 'Break_Even Price',
              'Protection Pts', 'Protection Pct']
      _metrics = pd.DataFrame(index=_index, columns=['Value'])
      _shares = float(shares)
      _dividends = _shares * dividend
      _metrics.loc['Eq Cost', 'Value'] = _eqcost = _shares * eqprice
      _metrics.loc['Option Premium', 'Value'] = _optprem = _shares * callprice
      _metrics.loc['Commission', 'Value'] = float(buycomm)
      _metrics.loc['Total Invested', 'Value'] = _invested = _eqcost - _optprem + buycomm
      _metrics.loc['Dividends', 'Value'] = _dividends
      _metrics.loc['Eq if Ex', 'Value'] = _eqsale = strike * _shares
      _metrics.loc['Comm if Ex', 'Value'] = float(excomm)
      _metrics.loc['Profit if Ex', 'Value'] = _profitex = _eqsale + _dividends - _invested - excomm
      _metrics.loc['Ret if Ex', 'Value'] = round(_profitex / _invested, _constants.NDIGITS_SIG)
      _metrics.loc['Profit if Unch', 'Value'] = _profitunch = _eqcost + _dividends - _invested
      _metrics.loc['Ret if Unch', 'Value'] = round(_profitunch / _invested, _constants.NDIGITS_SIG)
      _metrics.loc['Break_Even Price', 'Value'] = _breakeven = round((_invested - _dividends) / _shares, 
              _constants.NDIGITS_SIG)
      _metrics.loc['Protection Pts', 'Value'] = _protpts = eqprice - _breakeven
      _metrics.loc['Protection Pct', 'Value'] = round(_protpts / eqprice, _constants.NDIGITS_SIG)
      return _metrics