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)
res.create_series([s['data'] for s in self.orig_series])
cutoff = config.get('cutoff', None)
x = 0
for r in groups[k]:
if cutoff:
start = min(r.x_values) + cutoff[0]
end = max(r.x_values) - cutoff[1]
keys, minvals = [], {}
for s in self.orig_series:
k = s['data']
keys.append(k)
if s.get('combine_mode', None) == 'span' and k in r:
minvals[k] = min(
[d for d in r.series(k) if d is not None])
else:
minvals[k] = None
for p in r.zipped(keys):
if cutoff is None or (p[0] > start and p[0] < end):
dp = {}
for k, v in zip(keys, p[1:]):
if minvals[k] is None:
dp[k] = v
elif v is not None:
dp[k] = v - minvals[k]
else:
pass # skip None-values when a minval exists
res.append_datapoint(x, dp)
x += 1
new_results.append(res)
return new_results
def group(self, groups, config):
assert len(config['series']) == 1
series_names = []
group_names = []
old_s = config['series'][0]
for k in groups.keys():
s, g = k.rsplit("-", 1)
if s not in series_names:
series_names.append(s)
if g not in group_names:
group_names.append(g)
new_series = [{'data': s, 'label': s} for s in series_names]
new_results = []
for s in group_names:
res = ResultSet(TITLE=s, NAME=self.orig_name)
res.create_series(series_names)
x = 0
for d in zip_longest(*[g[1] for g in groups.items()
if g[0].endswith("-%s" % s)]):
data = {}
for k, v in zip([k.rsplit("-", 1)[0] for k in groups.keys()
if k.endswith("-%s" % s)], d):
reducer = self.get_reducer(old_s)
data[k] = reducer(v, old_s) if v is not None else None
res.append_datapoint(x, data)
x += 1
new_results.append(res)
config['series'] = new_series
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)
res.create_series([s['data'] for s in self.orig_series])
cutoff = config.get('cutoff', None)
x = 0
for r in groups[k]:
if cutoff:
start = min(r.x_values) + cutoff[0]
end = min(r.x_values) + r.meta("TOTAL_LENGTH") - cutoff[1]
keys, minvals = [], {}
for s in self.orig_series:
k = s['data']
keys.append(k)
if s.get('combine_mode', None) == 'span' and k in r:
minvals[k] = min(
[d for d in r.series(k) if d is not None])
else:
minvals[k] = None
for p in r.zipped(keys):
if cutoff is None or (p[0] > start and p[0] < end):
dp = {}
for k, v in zip(keys, p[1:]):
if minvals[k] is None:
dp[k] = v
elif v is not None:
dp[k] = v - minvals[k]
else:
pass # skip None-values when a minval exists
res.append_datapoint(x, dp)
x += 1
new_results.append(res)
return new_results
def group(self, groups, config):
assert len(config['series']) == 1
series_names = []
group_names = []
old_s = config['series'][0]
for k in groups.keys():
s, g = k.rsplit("-", 1)
if not s in series_names:
series_names.append(s)
if not g in group_names:
group_names.append(g)
new_series = [{'data': s, 'label': s} for s in series_names]
new_results = []
for s in group_names:
res = ResultSet(TITLE=s, NAME=self.orig_name)
res.create_series(series_names)
x = 0
for d in zip_longest(
*
[g[1] for g in groups.items() if g[0].endswith("-%s" % s)]):
data = {}
for k, v in zip([
k.rsplit("-", 1)[0]
for k in groups.keys() if k.endswith("-%s" % s)
], d):
reducer = self.get_reducer(old_s)
data[k] = reducer(v,
old_s['data']) if v is not None else Non
res.append_datapoint(x, data)
x += 1
new_results.append(res)
config['series'] = new_series
return new_results
def group(self, groups, config):
if len(config['series']) > 1:
raise RuntimeError("Cannot use group_by=both for plots with more "
"than one data series")
series_names = []
group_names = []
old_s = config['series'][0]
for k in groups.keys():
s, g = k.rsplit("-", 1)
if s not in series_names:
series_names.append(s)
if g not in group_names:
group_names.append(g)
new_series = [{'data': s, 'label': s} for s in series_names]
new_results = []
for s in group_names:
res = ResultSet(TITLE=s, NAME=self.orig_name)
res.create_series(series_names)
x = 0
for d in zip_longest(*[g[1] for g in groups.items()
if g[0].endswith("-%s" % s)]):
data = {}
for k, v in zip([k.rsplit("-", 1)[0] for k in groups.keys()
if k.endswith("-%s" % s)], d):
reducer = self.get_reducer(old_s)
data[k] = reducer(v, old_s) if v is not None else None
res.append_datapoint(x, data)
x += 1
new_results.append(res)
config['series'] = new_series
return new_results
def group(self, groups, config):
new_results = []
for s in self.orig_series:
res = ResultSet(TITLE=s.get('label'), NAME=self.orig_name)
res.meta('label_override', s.get('label_override', False))
res.create_series(groups.keys())
x = 0
for d in zip_longest(*groups.values()):
data = {}
for k, v in zip(groups.keys(), d):
reducer = self.get_reducer(s)
data[k] = reducer(v, s) if v is not None else None
if data[k] is not None and 'norm_factor' in s:
data[k] /= s['norm_factor']
res.append_datapoint(x, data)
x += 1
new_results.append(res)
new_series = []
for k in groups.keys():
new_series.append({'data': k, 'label': k})
config['series'] = new_series
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)
res.create_series([s['data'] for s in self.orig_series])
x = 0
for r in groups[k]:
data = {}
for s in self.orig_series:
reducer = self.get_reducer(s)
data[s['data']] = reducer(r, s)
res.append_datapoint(x, data)
x += 1
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)
res.create_series([s['data'] for s in self.orig_series])
x = 0
for r in groups[k]:
data = {}
for s in self.orig_series:
reducer = self.get_reducer(s)
data[s['data']] = reducer(r, s['data'])
res.append_datapoint(x, data)
x += 1
new_results.append(res)
return new_results
def group(self, groups, config):
new_results = []
for s in self.orig_series:
res = ResultSet(TITLE=s['label'], NAME=self.orig_name)
res.create_series(groups.keys())
x = 0
for d in zip_longest(*groups.values()):
data = {}
for k, v in zip(groups.keys(), d):
reducer = self.get_reducer(s)
data[k] = reducer(v, s) if v is not None else None
res.append_datapoint(x, data)
x += 1
new_results.append(res)
new_series = []
for k in groups.keys():
new_series.append({'data': k, 'label': k})
config['series'] = new_series
return new_results
def group(self, groups, config):
new_results = []
for s in self.orig_series:
res = ResultSet(TITLE=s['label'], NAME=self.orig_name)
res.create_series(groups.keys())
x = 0
for d in zip_longest(*groups.values()):
data = {}
for k, v in zip(groups.keys(), d):
reducer = self.get_reducer(s)
data[k] = reducer(v, s['data']) if v is not None else Non
res.append_datapoint(x, data)
x += 1
new_results.append(res)
new_series = []
for k in groups.keys():
new_series.append({'data': k, 'label': k})
config['series'] = new_series
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)
res.create_series([s['data'] for s in self.orig_series])
x = 0
orig_n = {s['data']: [] for s in self.orig_series}
for r in groups[k]:
data = {}
for s in self.orig_series:
reducer = self.get_reducer(s)
data[s['data']] = reducer(r, s)
orig_n[s['data']].append(reducer.N)
res.append_datapoint(x, data)
x += 1
for k, v in orig_n.items():
res.series_meta(k, 'orig_n', v)
new_results.append(res)
return new_results