def _split(self, frame):
if self.share_afterward == 1:
return
splits = [self.share_afterward, 1.0]
adj_day = self.ex_date - datetime.timedelta(days=1)
indexes = []
indexes.append(adj_day)
indexes.append(datetime.date.today())
splits = TimeSeries(splits, index=indexes)
ri_splits = splits.reindex(frame.index, method='backfill')
frame['adjclose'] = frame['adjclose'] / ri_splits
def _divide(self, frame):
if self.cash_afterward == 0:
return
cashes = [self.cash_afterward, 0.0]
adj_day = self.ex_date - datetime.timedelta(days=1)
indexes = []
indexes.append(adj_day)
indexes.append(datetime.date.today())
cashes = TimeSeries(cashes, index=indexes)
ri_cashes = cashes.reindex(frame.index, method='backfill')
frame['adjclose'] = frame['adjclose'] - ri_cashes
def _split(self, frame):
if self.share_afterward == 1:
return
splits = [self.share_afterward, 1.0]
adj_day = self.ex_date - datetime.timedelta(days=1)
indexes = []
indexes.append(adj_day)
indexes.append(datetime.date.today())
splits = TimeSeries(splits, index=indexes)
ri_splits = splits.reindex(frame.index, method='backfill')
frame['adjclose'] = frame['adjclose'] / ri_splits
def _divide(self, frame):
if self.cash_afterward == 0:
return
cashes = [self.cash_afterward, 0.0]
adj_day = self.ex_date - datetime.timedelta(days=1)
indexes = []
indexes.append(adj_day)
indexes.append(datetime.date.today())
cashes = TimeSeries(cashes, index=indexes)
ri_cashes = cashes.reindex(frame.index, method='backfill')
frame['adjclose'] = frame['adjclose'] - ri_cashes
def _divide(self, frame):
"""divided close price to adjclose column
WARNING
=======
frame should be chronological ordered otherwise wrong backfill.
"""
if self.cash_afterward == 0:
return
cashes = [self.cash_afterward, 0.0]
adj_day = self.ex_date - datetime.timedelta(days=1)
indexes = []
indexes.append(self.d2t(adj_day))
indexes.append(self.d2t(datetime.date.today()))
cashes = TimeSeries(cashes, index=indexes)
ri_cashes = cashes.reindex(frame.index, method='backfill')
frame['adjclose'] = frame['adjclose'] - ri_cashes
def _divide(self, frame):
"""divided close price to adjclose column
WARNING
=======
frame should be chronological ordered otherwise wrong backfill.
"""
if self.cash_afterward == 0:
return
cashes = [self.cash_afterward, 0.0]
adj_day = self.ex_date - datetime.timedelta(days=1)
indexes = []
indexes.append(self.d2t(adj_day))
indexes.append(self.d2t(datetime.date.today()))
cashes = TimeSeries(cashes, index=indexes)
ri_cashes = cashes.reindex(frame.index, method='backfill')
frame['adjclose'] = frame['adjclose'] - ri_cashes
