def parseBar(self, csvRowDict):
dateTime = self._parseDate(csvRowDict[self.__dateTimeColName])
open_ = float(csvRowDict[self.__openColName])
high = float(csvRowDict[self.__highColName])
low = float(csvRowDict[self.__lowColName])
close = float(csvRowDict[self.__closeColName])
volume = float(csvRowDict[self.__volumeColName])
adjClose = None
if self.__adjCloseColName is not None:
adjCloseValue = csvRowDict.get(self.__adjCloseColName, "")
if len(adjCloseValue) > 0:
adjClose = float(adjCloseValue)
self.__haveAdjClose = True
# Process extra columns.
extra = {}
for k, v in csvRowDict.iteritems():
if k not in self.__columnNames:
extra[k] = csvutils.float_or_string(v)
return self.__barClass(dateTime,
open_,
high,
low,
close,
volume,
adjClose,
self.__frequency,
extra=extra)
def parseBar(self, csvRowDict):
dateTime = self._parseDate(csvRowDict[self.__dateTimeColName])
open_ = float(csvRowDict[self.__openColName])
high = float(csvRowDict[self.__highColName])
low = float(csvRowDict[self.__lowColName])
close = float(csvRowDict[self.__closeColName])
volume = float(csvRowDict[self.__volumeColName])
adjClose = None
if self.__adjCloseColName is not None:
adjCloseValue = csvRowDict.get(self.__adjCloseColName, "")
if len(adjCloseValue) > 0:
adjClose = float(adjCloseValue)
self.__haveAdjClose = True
# Process extra columns.
extra = {}
for k, v in csvRowDict.iteritems():
if k not in self.__columnNames:
extra[k] = csvutils.float_or_string(v)
return self.__barClass(
dateTime, open_, high, low, close, volume, adjClose, self.__frequency, extra=extra
)
def float_or_string(column, value):
return csvutils.float_or_string(value)
def float_or_string(column, value):
return csvutils.float_or_string(value)
