def group(self, groups, config):
new_results = []
for k in groups.keys():
title = "%s (n=%d)" % (k, len(groups[k])) if self.print_n else k
res = ResultSet(TITLE=title, NAME=self.orig_name)
x_values = []
for r in groups[k]:
if len(r.x_values) > len(x_values):
x_values = r.x_values
cutoff = config.get('cutoff', None)
if cutoff is not None:
res.x_values = [
x for x in x_values
if x >= cutoff[0] and x <= max(x_values) - cutoff[1]
]
else:
res.x_values = x_values
for s in config['series']:
data = zip_longest(x_values,
*[r[s['data']] for r in groups[k]])
new_data = []
reducer = self.get_reducer(s)
reducer.cutoff = None
for d in data:
if cutoff is None or (d[0] >= cutoff[0] and
d[0] <= max(x_values) - cutoff[1]):
new_data.append(reducer(res, s['data'], data=d[1:]))
res.add_result(s['data'], new_data)
new_results.append(res)
return new_results
def group(self, groups, config):
new_results = []
for k in groups.keys():
title = "%s (n=%d)" % (k, len(groups[k])) if self.print_n else k
res = ResultSet(TITLE=title, NAME=self.orig_name)
x_values = []
for r in groups[k]:
if len(r.x_values) > len(x_values):
x_values = r.x_values
cutoff = config.get('cutoff', None)
if cutoff is not None:
res.x_values = [x for x in x_values
if x >= cutoff[0] and
x <= max(x_values) - cutoff[1]]
else:
res.x_values = x_values
for s in config['series']:
length = max([r.meta("TOTAL_LENGTH") for r in groups[k]])
data = zip_longest(x_values, *[r[s['data']] for r in groups[k]])
new_data = []
reducer = self.get_reducer(s)
reducer.cutoff = None
for d in data:
if cutoff is None or (d[0] >= cutoff[0] and
d[0] <= length - cutoff[1]):
new_data.append(reducer(res, s, data=d[1:]))
res.add_result(s['data'], new_data)
new_results.append(res)
return new_results
def group(self, groups, config):
new_results = []
for k in groups.keys():
title = "%s (n=%d)" % (k, len(groups[k])) if self.print_n else k
res = ResultSet(TITLE=title, NAME=self.orig_name)
x_values = []
for r in groups[k]:
if len(r.x_values) > len(x_values):
x_values = r.x_values
length = max([r.meta("TOTAL_LENGTH") for r in groups[k]])
cutoff = self.data_cutoff or config.get('cutoff', None)
if cutoff is not None:
start, end = cutoff
if end <= 0:
end += length
res.x_values = [x for x in x_values if x >= start and x <= end]
else:
res.x_values = x_values
for s in config['series']:
data = zip_longest(x_values,
*[r[s['data']] for r in groups[k]])
new_data = []
reducer = self.get_reducer(s)
reducer.cutoff = None
for d in data:
if cutoff is None or (d[0] >= start and d[0] <= end):
new_data.append(reducer(res, s, data=d[1:]))
res.add_result(s['data'], new_data)
new_results.append(res)
return new_results
