def plot(name, title, variable, *tree_parts, **kwargs):
fallthrough = kwargs.pop("fallthrough", 0)
def get_name(tree_part):
for i in xrange(fallthrough):
if not tree_part.parent:
break
tree_part = tree_part.parent
return tree_part.name
logy = kwargs.pop("logy", None)
normalize = kwargs.pop("normalize", None)
pos = kwargs.pop("pos", "RT")
x_range = kwargs.pop("x_range", None)
y_range = kwargs.pop("y_range", None)
x_title = kwargs.pop("x_title", None)
y_title = kwargs.pop("y_title", None)
legend_header = kwargs.pop("legend_header", "")
rebin = kwargs.pop("rebin", None)
with canvas() as c:
if logy: c.SetLogy()
namehs = [("%s %s" % (tp.basename, get_name(tp)), fixup_hist_units(tp[variable])) for tp in tree_parts]
if normalize is True:
title += " (normalized)"
for n, h in namehs:
#h.GetYaxis().SetTitle("Arbitrary Units")
y_title = "Arbitrary Units"
h.Scale(1. / h.Integral())
elif normalize:
try:
normalize_hists([h for n, h in namehs], normalize)
title += " (normalized to %s above %i GeV)" % (namehs[0][0], normalize)
except ZeroDivisionError:
pass
if rebin:
for n, h in namehs:
h.Rebin(rebin)
hs = [(h, None, hname) for hname, h in namehs]
sl = C.StackLegend(name, pos, title, legend_header=legend_header, *hs)
if x_range is not None:
sl.set_x_range(x_range)
if y_range is not None:
# Doesn't seem to work
sl.Y.SetRangeUser(*y_range)
if x_title is not None:
sl.X.SetTitle(x_title)
if y_title is not None:
sl.Y.SetTitle(y_title)
sl.Draw()
name = "_".join(expand_hname(name, variable))
c.SaveAs("plots/purity/%s.eps" % name)
def multifit(self, params):
import rootils.uncert as U
from minty.utils import wait, canvas
gROOT.SetBatch()
R.gStyle.SetOptStat(1000000) # Integral only
R.gStyle.SetOptFit(11)
f = TFile("all.root")
h = f.Get("corrected/ph/boson/mass_wide")
window_size = 25
bins = array('d', [])
values = array('d', [])
errors = array('d', [])
for i in xrange(80, 600, 5):
h.GetXaxis().SetRangeUser(i - window_size/2, i + window_size/2)
with canvas() as c:
const, slope = U.from_fitresultp(h.Fit("expo", "LLISQ"))
c.SaveAs("plots/massfit-{0}GeV.png".format(i))
integral = h.Integral()
bins.append(i)
values.append(slope.nominal_value)
errors.append(slope.std_dev())
gROOT.SetBatch(0)
with canvas() as c:
g = R.TGraphErrors(len(bins), bins, values, array('d', [0]*len(bins)), errors)
g.Draw("A*P")
c.SaveAs("plots/massfit-pieces.png")
wait()
