def op(self, data):
for date, row in data.iterrows():
try:
if util.isSameQuarter(date, util.FirstQuarter):
self.processFirstQuarter(data, date, row)
elif util.isSameQuarter(date, util.SecondQuarter):
self.processSecondQuarter(data, date, row)
elif util.isSameQuarter(date, util.ThirdQuarter):
self.processThirdQuarter(data, date, row)
else:
self.processFourthQuarter(data, date, row)
except TypeError as e:
print(e)
except KeyError as e:
print(e)
def op(self, data):
for date, row in data.iterrows():
if util.isSameQuarter(date, util.FirstQuarter):
data.loc[date, self.keyQ] = 1
else:
firstQuarter = util.getFirstQuarter(date)
try:
firstData = data.loc[firstQuarter]
firstQuarterProfit = firstData.loc[KN['QuarterProfit']]
try:
if firstQuarterProfit > 0:
data.loc[date, self.keyQ] = data.loc[
date, KN['QuarterProfit']] / firstQuarterProfit
else:
data.loc[date, self.keyQ] = 1
if util.isSameQuarter(date, util.FourthQuarter):
priorDate = priorQ(date)
priorData = data.loc[priorDate]
yearProfit = row[KEY_NAME['jbmgsy']]
threeQuarterProfit = priorData.loc[
KEY_NAME['jbmgsy']]
if not util.isnan(threeQuarterProfit):
if threeQuarterProfit > 0:
data.loc[date, self.keyT] = (
yearProfit - threeQuarterProfit
) / threeQuarterProfit
else:
data.loc[date,
self.keyT] = float(1) / float(3)
prior2Date = priorXQ(date, 2)
prior2Data = data.loc[prior2Date]
halfYearQuarterProfit = prior2Data.loc[
KEY_NAME['jbmgsy']]
if not util.isnan(halfYearQuarterProfit):
if halfYearQuarterProfit > 0:
data.loc[date, self.keyH] = (
yearProfit - halfYearQuarterProfit
) / halfYearQuarterProfit
else:
data.loc[date, self.keyH] = 1
except TypeError as e:
print(e)
except KeyError as e:
print(e)
def op(self, data):
for date, row in data.iterrows():
try:
if util.isSameQuarter(date, util.FirstQuarter):
data.loc[date, self.key] = row[ADJUST_NAME['ForecastProfit']]
else:
data.loc[date, self.key] = row[ADJUST_NAME['ForecastProfit']] -\
data.loc[priorQ(date), KEY_NAME['jbmgsy']]
except KeyError as e:
print(e)
except TypeError as e:
print(e)
def op(self, data):
for date, row in data.iterrows():
try:
profit = row[const.CWSJ_KEYWORD.KEY_NAME['jbmgsy']]
if util.isSameQuarter(date, util.FirstQuarter):
data.loc[date, const.CWSJ_KEYWORD.
ADJUST_NAME['QuarterProfit']] = profit
else:
priorDate = priorQ(date)
priorData = data.loc[priorDate]
try:
data.loc[date, const.CWSJ_KEYWORD.ADJUST_NAME[
'QuarterProfit']] = profit - priorData.loc[
const.CWSJ_KEYWORD.KEY_NAME['jbmgsy']]
except TypeError as e:
print(e)
except KeyError as e:
print(e)