def create_histograms(self,
online_title,
thresholds,
n_bins,
low,
high,
legend_title=""):
""" This is not in an init function so that we can by-pass this in the
case where we reload things from disk """
self.online_title = online_title
self.thresholds = thresholds
self.thresholds = bn.GreaterThan(thresholds, "threshold", True)
self.legend_title = legend_title
name = ["rate_vs_pileup", self.online_name]
name += ["thresh_{threshold}"]
name = "__".join(name)
title = " ".join([
self.online_name, " rate vs pileup",
"passing threshold: {threshold}"
])
self.plots = HistogramCollection([self.thresholds],
"Hist1D",
n_bins,
low,
high,
name=name,
title=title)
self.filename_format = name
def create_histograms(self,
online_title,
offline_title,
pileup_bins,
thresholds,
n_bins,
low,
high=400,
legend_title=""):
""" This is not in an init function so that we can by-pass this in the
case where we reload things from disk """
self.online_title = online_title
self.offline_title = offline_title
self.pileup_bins = bn.Sorted(pileup_bins,
"pileup",
use_everything_bin=True)
self.thresholds = bn.GreaterThan(thresholds, "threshold")
self.legend_title = legend_title
name = ["efficiency", self.online_name, self.offline_name]
name += ["thresh_{threshold}", "pu_{pileup}"]
name = "__".join(name)
title = " ".join([
self.online_name, " in PU bin: {pileup}",
"and passing threshold: {threshold}"
])
self.filename_format = name
def make_efficiency(labels):
this_name = "efficiency" + name.format(**labels)
this_title = title.format(**labels)
'''Checking type of 'low' to see whether it's int (x-range minimum)
or array (bin edges) for constructing TEfficiency'''
if isinstance(low, np.ndarray):
eff = asrootpy(
ROOT.TEfficiency(this_name, this_title, n_bins, low))
self.x_max = 2000
else:
eff = asrootpy(
ROOT.TEfficiency(this_name, this_title, n_bins, low, high))
self.x_max = high
eff.drawstyle = EfficiencyPlot.drawstyle
return eff
self.efficiencies = HistogramCollection(
[self.pileup_bins, self.thresholds], make_efficiency)