def finalize(self):
"""Merges together any good sections which span multiple segments,
as long as those segments are adjacent
(previous.end - max_sample_period <= next.start <= previous.end).
This may happen if we merge cached sections and noncached sections.
Returns
-------
sections : TimeFrameGroup (a subclass of Python's list class)
"""
sections = TimeFrameGroup()
end_date_of_prev_row = None
for index, row in self._data.iterrows():
row_sections = row['sections']
# Check if first TimeFrame of row_sections needs to be merged with
# last TimeFrame of previous section
if (end_date_of_prev_row is not None):
rows_are_adjacent = (
(end_date_of_prev_row - self.max_sample_period_td) <= index
<= end_date_of_prev_row)
if rows_are_adjacent and row_sections[0].start is None:
assert sections[-1].end is None
sections._df.iloc[-1, 1] = row_sections[
0].end # HIER MUSSTE ICH AUFPASSEN, DASS ICH UEBERSCHREIBE!
row_sections.pop(0)
else:
# row_sections[0] and sections[-1] were not in adjacent chunks
# so check if they are both open-ended and close them...
if sections and sections[-1].end is None:
try:
sections[-1].end = end_date_of_prev_row
except ValueError: # end_date_of_prev_row before sections[-1].start
pass
if row_sections and row_sections[0].start is None:
try:
row_sections[0].start = index
except ValueError:
pass
end_date_of_prev_row = row['end']
sections.extend(row_sections)
if sections and sections.count() > 0:
sections[-1].include_end = True
if sections[-1].end is None:
sections[
-1,
1] = end_date_of_prev_row # HIER MUSSTE ICH AUFPASSEN, DASS ICH UEBERSCHREIBE!
sections._df.reset_index(drop=True, inplace=True)
self._data = sections
def combined(self):
"""Merges together any good sections which span multiple segments,
as long as those segments are adjacent
(previous.end - max_sample_period <= next.start <= previous.end).
Returns
-------
sections : TimeFrameGroup (a subclass of Python's list class)
"""
sections = TimeFrameGroup()
end_date_of_prev_row = None
for index, row in self._data.iterrows():
row_sections = row['sections']
# Check if first TimeFrame of row_sections needs to be merged with
# last TimeFrame of previous section
if (end_date_of_prev_row is not None):
rows_are_adjacent = (
(end_date_of_prev_row - self.max_sample_period_td)
<= index <=
end_date_of_prev_row)
if rows_are_adjacent and row_sections[0].start is None:
assert sections[-1].end is None
sections[-1].end = row_sections[0].end
row_sections.pop(0)
else:
# row_sections[0] and sections[-1] were not in adjacent chunks
# so check if they are both open-ended and close them...
if sections and sections[-1].end is None:
try:
sections[-1].end = end_date_of_prev_row
except ValueError: # end_date_of_prev_row before sections[-1].start
pass
if row_sections and row_sections[0].start is None:
try:
row_sections[0].start = index
except ValueError:
pass
end_date_of_prev_row = row['end']
sections.extend(row_sections)
if sections:
sections[-1].include_end = True
if sections[-1].end is None:
sections[-1].end = end_date_of_prev_row
return sections
def combined(self):
"""Merges together any good sections which span multiple segments,
as long as those segments are adjacent
(previous.end - max_sample_period <= next.start <= previous.end).
Returns
-------
sections : TimeFrameGroup (a subclass of Python's list class)
"""
sections = TimeFrameGroup()
end_date_of_prev_row = None
for index, row in self._data.iterrows():
row_sections = row['sections']
# Check if first TimeFrame of row_sections needs to be merged with
# last TimeFrame of previous section
if (end_date_of_prev_row is not None):
rows_are_adjacent = (
(end_date_of_prev_row - self.max_sample_period_td) <= index
<= end_date_of_prev_row)
if rows_are_adjacent and row_sections[0].start is None:
assert sections[-1].end is None
sections[-1].end = row_sections[0].end
row_sections.pop(0)
else:
# row_sections[0] and sections[-1] were not in adjacent chunks
# so check if they are both open-ended and close them...
if sections and sections[-1].end is None:
try:
sections[-1].end = end_date_of_prev_row
except ValueError: # end_date_of_prev_row before sections[-1].start
pass
if row_sections and row_sections[0].start is None:
try:
row_sections[0].start = index
except ValueError:
pass
end_date_of_prev_row = row['end']
sections.extend(row_sections)
if sections:
sections[-1].include_end = True
if sections[-1].end is None:
sections[-1].end = end_date_of_prev_row
return sections
