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	Version: CMSSW_15_1_X_2025-07-11-2300 CMSSW_15_1_X_2025-07-10-2300 CMSSW_15_1_X_2025-07-08-2300 CMSSW_15_1_X_2025-07-07-2300 CMSSW_15_1_X_2025-07-06-2300 CMSSW_15_0_4 CMSSW_15_0_3_patch1 CMSSW_14_0_21_patch1 Revert   Change

File indexing completed on 2024-11-26 02:34:39

 from builtins import range
 import os
 import sys
 import math
 import copy
 import array
 import difflib
 import collections
 
 import ROOT
 ROOT.gROOT.SetBatch(True)
 ROOT.PyConfig.IgnoreCommandLineOptions = True
 
 from . import html
 
 verbose=False
 _ratioYTitle = "Ratio"
 
 def _setStyle():
     _absoluteSize = True
     if _absoluteSize:
         font = 43
         titleSize = 22
         labelSize = 22
         statSize = 14
     else:
         font = 42
         titleSize = 0.05
         labelSize = 0.05
         statSize = 0.025
 
     ROOT.gROOT.SetStyle("Plain")
     ROOT.gStyle.SetPadRightMargin(0.07)
     ROOT.gStyle.SetPadLeftMargin(0.13)
     ROOT.gStyle.SetTitleFont(font, "XYZ")
     ROOT.gStyle.SetTitleSize(titleSize, "XYZ")
     ROOT.gStyle.SetTitleOffset(1.2, "Y")
     #ROOT.gStyle.SetTitleFontSize(0.05)
     ROOT.gStyle.SetLabelFont(font, "XYZ")
     ROOT.gStyle.SetLabelSize(labelSize, "XYZ")
     ROOT.gStyle.SetTextSize(labelSize)
     ROOT.gStyle.SetStatFont(font)
     ROOT.gStyle.SetStatFontSize(statSize)
 
     ROOT.TGaxis.SetMaxDigits(4)
 
 def _getObject(tdirectory, name):
     obj = tdirectory.Get(name)
     if not obj:
         if verbose:
             print("Did not find {obj} from {dir}".format(obj=name, dir=tdirectory.GetPath()))
         return None
     return obj
 
 def _getOrCreateObject(tdirectory, nameOrCreator):
     if hasattr(nameOrCreator, "create"):
         return nameOrCreator.create(tdirectory)
     return _getObject(tdirectory, nameOrCreator)
 
 class GetDirectoryCode:
     class FileNotExist: pass
     class PossibleDirsNotExist: pass
     class SubDirNotExist: pass
 
     @staticmethod
     def codesToNone(code):
         if code in [GetDirectoryCode.FileNotExist, GetDirectoryCode.PossibleDirsNotExist, GetDirectoryCode.SubDirNotExist]:
             return None
         return code
 
 def _getDirectoryDetailed(tfile, possibleDirs, subDir=None):
     """Get TDirectory from TFile."""
     if tfile is None:
         return GetDirectoryCode.FileNotExist
     for pdf in possibleDirs:
         d = tfile.Get(pdf)
         if d:
             if subDir is not None:
                 # Pick associator if given
                 d = d.Get(subDir)
                 if d:
                     return d
                 else:
                     if verbose:
                         print("Did not find subdirectory '%s' from directory '%s' in file %s" % (subDir, pdf, tfile.GetName()))
 #                        if "Step" in subDir:
 #                            raise Exception("Foo")
                     return GetDirectoryCode.SubDirNotExist
             else:
                 return d
     if verbose:
         print("Did not find any of directories '%s' from file %s" % (",".join(possibleDirs), tfile.GetName()))
     return GetDirectoryCode.PossibleDirsNotExist
 
 def _getDirectory(*args, **kwargs):
     return GetDirectoryCode.codesToNone(_getDirectoryDetailed(*args, **kwargs))
 
 def _th1ToOrderedDict(th1, renameBin=None):
     values = collections.OrderedDict()
     for i in range(1, th1.GetNbinsX()+1):
         binLabel = th1.GetXaxis().GetBinLabel(i)
         if renameBin is not None:
             binLabel = renameBin(binLabel)
         values[binLabel] = (th1.GetBinContent(i), th1.GetBinError(i))
     return values
 
 def _createCanvas(name, width, height):
     # silence warning of deleting canvas with the same name
     if not verbose:
         backup = ROOT.gErrorIgnoreLevel
         ROOT.gErrorIgnoreLevel = ROOT.kError
     canvas = ROOT.TCanvas(name, name, width, height)
     if not verbose:
         ROOT.gErrorIgnoreLevel = backup
     return canvas
 
 def _modifyPadForRatio(pad, ratioFactor):
     pad.Divide(1, 2)
 
     divisionPoint = 1-1/ratioFactor
 
     topMargin = pad.GetTopMargin()
     bottomMargin = pad.GetBottomMargin()
     divisionPoint += (1-divisionPoint)*bottomMargin # correct for (almost-)zeroing bottom margin of pad1
     divisionPointForPad1 = 1-( (1-divisionPoint) / (1-0.02) ) # then correct for the non-zero bottom margin, but for pad1 only
 
     # Set the lower point of the upper pad to divisionPoint
     pad1 = pad.cd(1)
     yup = 1.0
     ylow = divisionPointForPad1
     xup = 1.0
     xlow = 0.0
     pad1.SetPad(xlow, ylow, xup, yup)
     pad1.SetFillStyle(4000) # transparent
     pad1.SetBottomMargin(0.02) # need some bottom margin here for eps/pdf output (at least in ROOT 5.34)
 
     # Set the upper point of the lower pad to divisionPoint
     pad2 = pad.cd(2)
     yup = divisionPoint
     ylow = 0.0
     pad2.SetPad(xlow, ylow, xup, yup)
     pad2.SetFillStyle(4000) # transparent
     pad2.SetTopMargin(0.0)
     pad2.SetBottomMargin(bottomMargin/(ratioFactor*divisionPoint))
 
 def _calculateRatios(histos, ratioUncertainty=False):
     """Calculate the ratios for a list of histograms"""
 
     def _divideOrZero(numerator, denominator):
         if denominator == 0:
             return 0
         return numerator/denominator
 
     def equal(a, b):
         if a == 0. and b == 0.:
             return True
         return abs(a-b)/max(abs(a),abs(b)) < 1e-3
 
     def findBins(wrap, bins_xvalues):
         ret = []
         currBin = wrap.begin()
         i = 0
         while i < len(bins_xvalues) and currBin < wrap.end():
             (xcenter, xlow, xhigh) = bins_xvalues[i]
             xlowEdge = xcenter-xlow
             xupEdge = xcenter+xhigh
 
             (curr_center, curr_low, curr_high) = wrap.xvalues(currBin)
             curr_lowEdge = curr_center-curr_low
             curr_upEdge = curr_center+curr_high
 
             if equal(xlowEdge, curr_lowEdge) and equal(xupEdge,  curr_upEdge):
                 ret.append(currBin)
                 currBin += 1
                 i += 1
             elif curr_upEdge <= xlowEdge:
                 currBin += 1
             elif curr_lowEdge >= xupEdge:
                 ret.append(None)
                 i += 1
             else:
                 ret.append(None)
                 currBin += 1
                 i += 1
         if len(ret) != len(bins_xvalues):
             ret.extend([None]*( len(bins_xvalues) - len(ret) ))
         return ret
 
     # Define wrappers for TH1/TGraph/TGraph2D to have uniform interface
     # TODO: having more global wrappers would make some things simpler also elsewhere in the code
     class WrapTH1:
         def __init__(self, th1, uncertainty):
             self._th1 = th1
             self._uncertainty = uncertainty
 
             xaxis = th1.GetXaxis()
             xaxis_arr = xaxis.GetXbins()
             if xaxis_arr.GetSize() > 0: # unequal binning
                 lst = [xaxis_arr[i] for i in range(0, xaxis_arr.GetSize())]
                 arr = array.array("d", lst)
                 self._ratio = ROOT.TH1F("foo", "foo", xaxis.GetNbins(), arr)
             else:
                 self._ratio = ROOT.TH1F("foo", "foo", xaxis.GetNbins(), xaxis.GetXmin(), xaxis.GetXmax())
             _copyStyle(th1, self._ratio)
             self._ratio.SetStats(0)
             self._ratio.SetLineColor(ROOT.kBlack)
             self._ratio.SetLineWidth(1)
         def draw(self, style=None):
             st = style
             if st is None:
                 if self._uncertainty:
                     st = "EP"
                 else:
                     st = "HIST P"
             self._ratio.Draw("same "+st)
         def begin(self):
             return 1
         def end(self):
             return self._th1.GetNbinsX()+1
         def xvalues(self, bin):
             xval = self._th1.GetBinCenter(bin)
             xlow = xval-self._th1.GetXaxis().GetBinLowEdge(bin)
             xhigh = self._th1.GetXaxis().GetBinUpEdge(bin)-xval
             return (xval, xlow, xhigh)
         def yvalues(self, bin):
             yval = self._th1.GetBinContent(bin)
             yerr = self._th1.GetBinError(bin)
             return (yval, yerr, yerr)
         def y(self, bin):
             return self._th1.GetBinContent(bin)
         def divide(self, bin, scale):
             self._ratio.SetBinContent(bin, _divideOrZero(self._th1.GetBinContent(bin), scale))
             self._ratio.SetBinError(bin, _divideOrZero(self._th1.GetBinError(bin), scale))
         def makeRatio(self):
             pass
         def getRatio(self):
             return self._ratio
 
     class WrapTGraph:
         def __init__(self, gr, uncertainty):
             self._gr = gr
             self._uncertainty = uncertainty
             self._xvalues = []
             self._xerrslow = []
             self._xerrshigh = []
             self._yvalues = []
             self._yerrshigh = []
             self._yerrslow = []
         def draw(self, style=None):
             if self._ratio is None:
                 return
             st = style
             if st is None:
                 if self._uncertainty:
                     st = "PZ"
                 else:
                     st = "PX"
             self._ratio.Draw("same "+st)
         def begin(self):
             return 0
         def end(self):
             return self._gr.GetN()
         def xvalues(self, bin):
             return (self._gr.GetX()[bin], self._gr.GetErrorXlow(bin), self._gr.GetErrorXhigh(bin))
         def yvalues(self, bin):
             return (self._gr.GetY()[bin], self._gr.GetErrorYlow(bin), self._gr.GetErrorYhigh(bin))
         def y(self, bin):
             return self._gr.GetY()[bin]
         def divide(self, bin, scale):
             # Ignore bin if denominator is zero
             if scale == 0:
                 return
             # No more items in the numerator
             if bin >= self._gr.GetN():
                 return
             # denominator is missing an item
             xvals = self.xvalues(bin)
             xval = xvals[0]
 
             self._xvalues.append(xval)
             self._xerrslow.append(xvals[1])
             self._xerrshigh.append(xvals[2])
             yvals = self.yvalues(bin)
             self._yvalues.append(yvals[0] / scale)
             if self._uncertainty:
                 self._yerrslow.append(yvals[1] / scale)
                 self._yerrshigh.append(yvals[2] / scale)
             else:
                 self._yerrslow.append(0)
                 self._yerrshigh.append(0)
         def makeRatio(self):
             if len(self._xvalues) == 0:
                 self._ratio = None
                 return
             self._ratio = ROOT.TGraphAsymmErrors(len(self._xvalues), array.array("d", self._xvalues), array.array("d", self._yvalues),
                                                  array.array("d", self._xerrslow), array.array("d", self._xerrshigh),
                                                  array.array("d", self._yerrslow), array.array("d", self._yerrshigh))
             _copyStyle(self._gr, self._ratio)
         def getRatio(self):
             return self._ratio
     class WrapTGraph2D(WrapTGraph):
         def __init__(self, gr, uncertainty):
             WrapTGraph.__init__(self, gr, uncertainty)
         def xvalues(self, bin):
             return (self._gr.GetX()[bin], self._gr.GetErrorX(bin), self._gr.GetErrorX(bin))
         def yvalues(self, bin):
             return (self._gr.GetY()[bin], self._gr.GetErrorY(bin), self._gr.GetErrorY(bin))
 
     def wrap(o):
         if isinstance(o, ROOT.TH1) and not isinstance(o, ROOT.TH2):
             return WrapTH1(o, ratioUncertainty)
         elif isinstance(o, ROOT.TGraph):
             return WrapTGraph(o, ratioUncertainty)
         elif isinstance(o, ROOT.TGraph2D):
             return WrapTGraph2D(o, ratioUncertainty)
 
     wrappers = [wrap(h) for h in histos if wrap(h) is not None]
     if len(wrappers) < 1:
         return []
     ref = wrappers[0]
 
     wrappers_bins = []
     ref_bins = [ref.xvalues(b) for b in range(ref.begin(), ref.end())]
     for w in wrappers:
         wrappers_bins.append(findBins(w, ref_bins))
 
     for i, bin in enumerate(range(ref.begin(), ref.end())):
         (scale, ylow, yhigh) = ref.yvalues(bin)
         for w, bins in zip(wrappers, wrappers_bins):
             if bins[i] is None:
                 continue
             w.divide(bins[i], scale)
 
     for w in wrappers:
         w.makeRatio()
 
     return wrappers
 
 
 def _getXmin(obj, limitToNonZeroContent=False):
     if isinstance(obj, ROOT.TH1):
         xaxis = obj.GetXaxis()
         if limitToNonZeroContent:
             for i in range(1, obj.GetNbinsX()+1):
                 if obj.GetBinContent(i) != 0:
                     return xaxis.GetBinLowEdge(i)
             # None for all bins being zero
             return None
         else:
             return xaxis.GetBinLowEdge(xaxis.GetFirst())
     elif isinstance(obj, ROOT.TGraph) or isinstance(obj, ROOT.TGraph2D):
         m = min([obj.GetX()[i] for i in range(0, obj.GetN())])
         return m*0.9 if m > 0 else m*1.1
     raise Exception("Unsupported type %s" % str(obj))
 
 def _getXmax(obj, limitToNonZeroContent=False):
     if isinstance(obj, ROOT.TH1):
         xaxis = obj.GetXaxis()
         if limitToNonZeroContent:
             for i in range(obj.GetNbinsX(), 0, -1):
                 if obj.GetBinContent(i) != 0:
                     return xaxis.GetBinUpEdge(i)
             # None for all bins being zero
             return None
         else:
             return xaxis.GetBinUpEdge(xaxis.GetLast())
     elif isinstance(obj, ROOT.TGraph) or isinstance(obj, ROOT.TGraph2D):
         m = max([obj.GetX()[i] for i in range(0, obj.GetN())])
         return m*1.1 if m > 0 else m*0.9
     raise Exception("Unsupported type %s" % str(obj))
 
 def _getYmin(obj, limitToNonZeroContent=False):
     if isinstance(obj, ROOT.TH2):
         yaxis = obj.GetYaxis()
         return yaxis.GetBinLowEdge(yaxis.GetFirst())
     elif isinstance(obj, ROOT.TH1):
         if limitToNonZeroContent:
             lst = [obj.GetBinContent(i) for i in range(1, obj.GetNbinsX()+1) if obj.GetBinContent(i) != 0 ]
             return min(lst) if len(lst) != 0 else 0
         else:
             return obj.GetMinimum()
     elif isinstance(obj, ROOT.TGraph) or isinstance(obj, ROOT.TGraph2D):
         m = min([obj.GetY()[i] for i in range(0, obj.GetN())])
         return m*0.9 if m > 0 else m*1.1
     raise Exception("Unsupported type %s" % str(obj))
 
 def _getYmax(obj, limitToNonZeroContent=False):
     if isinstance(obj, ROOT.TH2):
         yaxis = obj.GetYaxis()
         return yaxis.GetBinUpEdge(yaxis.GetLast())
     elif isinstance(obj, ROOT.TH1):
         if limitToNonZeroContent:
             lst = [obj.GetBinContent(i) for i in range(1, obj.GetNbinsX()+1) if obj.GetBinContent(i) != 0 ]
             return max(lst) if len(lst) != 0 else 0
         else:
             return obj.GetMaximum()
     elif isinstance(obj, ROOT.TGraph) or isinstance(obj, ROOT.TGraph2D):
         m = max([obj.GetY()[i] for i in range(0, obj.GetN())])
         return m*1.1 if m > 0 else m*0.9
     raise Exception("Unsupported type %s" % str(obj))
 
 def _getYmaxWithError(th1):
     return max([th1.GetBinContent(i)+th1.GetBinError(i) for i in range(1, th1.GetNbinsX()+1)])
 
 def _getYminIgnoreOutlier(th1):
     yvals = sorted([n for n in [th1.GetBinContent(i) for i in range(1, th1.GetNbinsX()+1)] if n>0])
     if len(yvals) == 0:
         return th1.GetMinimum()
     if len(yvals) == 1:
         return yvals[0]
 
     # Define outlier as being x10 less than minimum of the 95 % of the non-zero largest values
     ind_min = len(yvals)-1 - int(len(yvals)*0.95)
     min_val = yvals[ind_min]
     for i in range(0, ind_min):
         if yvals[i] > 0.1*min_val:
             return yvals[i]
 
     return min_val
 
 def _getYminMaxAroundMedian(obj, coverage, coverageRange=None):
     inRange = lambda x: True
     inRange2 = lambda xmin,xmax: True
     if coverageRange:
         inRange = lambda x: coverageRange[0] <= x <= coverageRange[1]
         inRange2 = lambda xmin,xmax: coverageRange[0] <= xmin and xmax <= coverageRange[1]
 
     if isinstance(obj, ROOT.TH1):
         yvals = [obj.GetBinContent(i) for i in range(1, obj.GetNbinsX()+1) if inRange2(obj.GetXaxis().GetBinLowEdge(i), obj.GetXaxis().GetBinUpEdge(i))]
         yvals = [x for x in yvals if x != 0]
     elif isinstance(obj, ROOT.TGraph) or isinstance(obj, ROOT.TGraph2D):
         yvals = [obj.GetY()[i] for i in range(0, obj.GetN()) if inRange(obj.GetX()[i])]
     else:
         raise Exception("Unsupported type %s" % str(obj))
     if len(yvals) == 0:
         return (0, 0)
     if len(yvals) == 1:
         return (yvals[0], yvals[0])
     if len(yvals) == 2:
         return (yvals[0], yvals[1])
 
     yvals.sort()
     nvals = int(len(yvals)*coverage)
     if nvals < 2:
         # Take median and +- 1 values
         if len(yvals) % 2 == 0:
             half = len(yvals)//2
             return ( yvals[half-1], yvals[half] )
         else:
             middle = len(yvals)//2
             return ( yvals[middle-1], yvals[middle+1] )
     ind_min = (len(yvals)-nvals)//2
     ind_max = len(yvals)-1 - ind_min
 
     return (yvals[ind_min], yvals[ind_max])
 
 def _findBounds(th1s, ylog, xmin=None, xmax=None, ymin=None, ymax=None):
     """Find x-y axis boundaries encompassing a list of TH1s if the bounds are not given in arguments.
 
     Arguments:
     th1s -- List of TH1s
     ylog -- Boolean indicating if y axis is in log scale or not (affects the automatic ymax)
 
     Keyword arguments:
     xmin -- Minimum x value; if None, take the minimum of TH1s
     xmax -- Maximum x value; if None, take the maximum of TH1s
     ymin -- Minimum y value; if None, take the minimum of TH1s
     ymax -- Maximum y value; if None, take the maximum of TH1s
     """
 
     (ymin, ymax) = _findBoundsY(th1s, ylog, ymin, ymax)
 
     if xmin is None or xmax is None or isinstance(xmin, list) or isinstance(max, list):
         xmins = []
         xmaxs = []
         for th1 in th1s:
             xmins.append(_getXmin(th1, limitToNonZeroContent=isinstance(xmin, list)))
             xmaxs.append(_getXmax(th1, limitToNonZeroContent=isinstance(xmax, list)))
 
         # Filter out cases where histograms have zero content
         xmins = [h for h in xmins if h is not None]
         xmaxs = [h for h in xmaxs if h is not None]
 
         if xmin is None:
             xmin = min(xmins)
         elif isinstance(xmin, list):
             if len(xmins) == 0: # all histograms zero
                 xmin = min(xmin)
                 if verbose:
                     print("Histogram is zero, using the smallest given value for xmin from", str(xmin))
             else:
                 xm = min(xmins)
                 xmins_below = [x for x in xmin if x<=xm]
                 if len(xmins_below) == 0:
                     xmin = min(xmin)
                     if xm < xmin:
                         if verbose:
                             print("Histogram minimum x %f is below all given xmin values %s, using the smallest one" % (xm, str(xmin)))
                 else:
                     xmin = max(xmins_below)
 
         if xmax is None:
             xmax = max(xmaxs)
         elif isinstance(xmax, list):
             if len(xmaxs) == 0: # all histograms zero
                 xmax = max(xmax)
                 if verbose:
                     print("Histogram is zero, using the smallest given value for xmax from", str(xmin))
             else:
                 xm = max(xmaxs)
                 xmaxs_above = [x for x in xmax if x>xm]
                 if len(xmaxs_above) == 0:
                     xmax = max(xmax)
                     if xm > xmax:
                         if verbose:
                             print("Histogram maximum x %f is above all given xmax values %s, using the maximum one" % (xm, str(xmax)))
                 else:
                     xmax = min(xmaxs_above)
 
     for th1 in th1s:
         th1.GetXaxis().SetRangeUser(xmin, xmax)
 
     return (xmin, ymin, xmax, ymax)
 
 def _findBoundsY(th1s, ylog, ymin=None, ymax=None, coverage=None, coverageRange=None):
     """Find y axis boundaries encompassing a list of TH1s if the bounds are not given in arguments.
 
     Arguments:
     th1s -- List of TH1s
     ylog -- Boolean indicating if y axis is in log scale or not (affects the automatic ymax)
 
     Keyword arguments:
     ymin -- Minimum y value; if None, take the minimum of TH1s
     ymax -- Maximum y value; if None, take the maximum of TH1s
     coverage -- If set, use only values within the 'coverage' part around the median are used for min/max (useful for ratio)
     coverageRange -- If coverage and this are set, use only the x axis specified by an (xmin,xmax) pair for the coverage
     """
     if coverage is not None or isinstance(th1s[0], ROOT.TH2):
         # the only use case for coverage for now is ratio, for which
         # the scalings are not needed (actually harmful), so let's
         # just ignore them if 'coverage' is set
         #
         # Also for TH2 do not adjust automatic y bounds
         y_scale_max = lambda y: y
         y_scale_min = lambda y: y
     else:
         if ylog:
             y_scale_max = lambda y: y*1.5
         else:
             y_scale_max = lambda y: y*1.05
         y_scale_min = lambda y: y*0.9 # assuming log
 
     if ymin is None or ymax is None or isinstance(ymin, list) or isinstance(ymax, list):
         ymins = []
         ymaxs = []
         for th1 in th1s:
             if coverage is not None:
                 (_ymin, _ymax) = _getYminMaxAroundMedian(th1, coverage, coverageRange)
             else:
                 if ylog and isinstance(ymin, list):
                     _ymin = _getYminIgnoreOutlier(th1)
                 else:
                     _ymin = _getYmin(th1, limitToNonZeroContent=isinstance(ymin, list))
                 _ymax = _getYmax(th1, limitToNonZeroContent=isinstance(ymax, list))
 #                _ymax = _getYmaxWithError(th1)
 
             ymins.append(_ymin)
             ymaxs.append(_ymax)
 
         if ymin is None:
             ymin = min(ymins)
         elif isinstance(ymin, list):
             ym_unscaled = min(ymins)
             ym = y_scale_min(ym_unscaled)
             ymins_below = [y for y in ymin if y<=ym]
             if len(ymins_below) == 0:
                 ymin = min(ymin)
                 if ym_unscaled < ymin:
                     if verbose:
                         print("Histogram minimum y %f is below all given ymin values %s, using the smallest one" % (ym, str(ymin)))
             else:
                 ymin = max(ymins_below)
 
         if ymax is None:
             # in case ymax is automatic, ymin is set by list, and the
             # histograms are zero, ensure here that ymax > ymin
             ymax = y_scale_max(max(ymaxs+[ymin]))
         elif isinstance(ymax, list):
             ym_unscaled = max(ymaxs)
             ym = y_scale_max(ym_unscaled)
             ymaxs_above = [y for y in ymax if y>ym]
             if len(ymaxs_above) == 0:
                 ymax = max(ymax)
                 if ym_unscaled > ymax:
                     if verbose:
                         print("Histogram maximum y %f is above all given ymax values %s, using the maximum one" % (ym_unscaled, str(ymax)))
             else:
                 ymax = min(ymaxs_above)
 
     for th1 in th1s:
         th1.GetYaxis().SetRangeUser(ymin, ymax)
 
     return (ymin, ymax)
 
 def _th1RemoveEmptyBins(histos, xbinlabels):
     binsToRemove = set()
     for b in range(1, histos[0].GetNbinsX()+1):
         binEmpty = True
         for h in histos:
             if h.GetBinContent(b) > 0:
                 binEmpty = False
                 break
         if binEmpty:
             binsToRemove.add(b)
 
     if len(binsToRemove) > 0:
         # filter xbinlabels
         xbinlab_new = []
         for i in range(len(xbinlabels)):
             if (i+1) not in binsToRemove:
                 xbinlab_new.append(xbinlabels[i])
         xbinlabels = xbinlab_new
 
         # filter histogram bins
         histos_new = []
         for h in histos:
             values = []
             for b in range(1, h.GetNbinsX()+1):
                 if b not in binsToRemove:
                     values.append( (h.GetXaxis().GetBinLabel(b), h.GetBinContent(b), h.GetBinError(b)) )
 
             if len(values) > 0:
                 h_new = h.Clone(h.GetName()+"_empty")
                 h_new.SetBins(len(values), h.GetBinLowEdge(1), h.GetBinLowEdge(1)+len(values))
                 for b, (l, v, e) in enumerate(values):
                     h_new.GetXaxis().SetBinLabel(b+1, l)
                     h_new.SetBinContent(b+1, v)
                     h_new.SetBinError(b+1, e)
 
                 histos_new.append(h_new)
         histos = histos_new
 
     return (histos, xbinlabels)
 
 def _th2RemoveEmptyBins(histos, xbinlabels, ybinlabels):
     xbinsToRemove = set()
     ybinsToRemove = set()
     for ih, h in enumerate(histos):
         for bx in range(1, h.GetNbinsX()+1):
             binEmpty = True
             for by in range(1, h.GetNbinsY()+1):
                 if h.GetBinContent(bx, by) > 0:
                     binEmpty = False
                     break
             if binEmpty:
                 xbinsToRemove.add(bx)
             elif ih > 0:
                 xbinsToRemove.discard(bx)
 
         for by in range(1, h.GetNbinsY()+1):
             binEmpty = True
             for bx in range(1, h.GetNbinsX()+1):
                 if h.GetBinContent(bx, by) > 0:
                     binEmpty = False
                     break
             if binEmpty:
                 ybinsToRemove.add(by)
             elif ih > 0:
                 ybinsToRemove.discard(by)
 
     if len(xbinsToRemove) > 0 or len(ybinsToRemove) > 0:
         xbinlabels_new = []
         xbins = []
         for b in range(1, len(xbinlabels)+1):
             if b not in xbinsToRemove:
                 xbinlabels_new.append(histos[0].GetXaxis().GetBinLabel(b))
                 xbins.append(b)
         xbinlabels = xbinlabels_new
         ybinlabels_new = []
         ybins = []
         for b in range(1, len(ybinlabels)+1):
             if b not in ybinsToRemove:
                 ybinlabels.append(histos[0].GetYaxis().GetBinLabel(b))
                 ybins.append(b)
         ybinlabels = xbinlabels_new
 
         histos_new = []
         if len(xbinlabels) == 0 or len(ybinlabels) == 0:
             return (histos_new, xbinlabels, ybinlabels)
         for h in histos:
             h_new = ROOT.TH2F(h.GetName()+"_empty", h.GetTitle(), len(xbinlabels),0,len(xbinlabels), len(ybinlabels),0,len(ybinlabels))
             for b, l in enumerate(xbinlabels):
                 h_new.GetXaxis().SetBinLabel(b+1, l)
             for b, l in enumerate(ybinlabels):
                 h_new.GetYaxis().SetBinLabel(b+1, l)
 
             for ix, bx in enumerate(xbins):
                 for iy, by in enumerate(ybins):
                     h_new.SetBinContent(ix+1, iy+1, h.GetBinContent(bx, by))
                     h_new.SetBinError(ix+1, iy+1, h.GetBinError(bx, by))
             histos_new.append(h_new)
         histos = histos_new
     return (histos, xbinlabels, ybinlabels)
 
 def _mergeBinLabelsX(histos):
     return _mergeBinLabels([[h.GetXaxis().GetBinLabel(i) for i in range(1, h.GetNbinsX()+1)] for h in histos])
 
 def _mergeBinLabelsY(histos):
     return _mergeBinLabels([[h.GetYaxis().GetBinLabel(i) for i in range(1, h.GetNbinsY()+1)] for h in histos])
 
 def _mergeBinLabels(labelsAll):
     labels_merged = labelsAll[0]
     for labels in labelsAll[1:]:
         diff = difflib.unified_diff(labels_merged, labels, n=max(len(labels_merged), len(labels)))
         labels_merged = []
         operation = []
         for item in diff: # skip the "header" lines
             if item[:2] == "@@":
                 break
         for item in diff:
             operation.append(item[0])
             lab = item[1:]
             if lab in labels_merged:
                 # pick the last addition of the bin
                 ind = labels_merged.index(lab)
                 if operation[ind] == "-" and operation[-1] == "+":
                     labels_merged.remove(lab)
                     del operation[ind] # to keep xbinlabels and operation indices in sync
                 elif operation[ind] == "+" and operation[-1] == "-":
                     del operation[-1] # to keep xbinlabels and operation indices in sync
                     continue
                 else:
                     raise Exception("This should never happen")
             labels_merged.append(lab)
         # unified_diff returns empty diff if labels_merged and labels are equal
         # so if labels_merged is empty here, it can be just set to labels
         if len(labels_merged) == 0:
             labels_merged = labels
 
     return labels_merged
 
 def _th1IncludeOnlyBins(histos, xbinlabels):
     histos_new = []
     for h in histos:
         h_new = h.Clone(h.GetName()+"_xbinlabels")
         h_new.SetBins(len(xbinlabels), h.GetBinLowEdge(1), h.GetBinLowEdge(1)+len(xbinlabels))
         for i, label in enumerate(xbinlabels):
             bin = h.GetXaxis().FindFixBin(label)
             if bin >= 0:
                 h_new.SetBinContent(i+1, h.GetBinContent(bin))
                 h_new.SetBinError(i+1, h.GetBinError(bin))
             else:
                 h_new.SetBinContent(i+1, 0)
                 h_new.SetBinError(i+1, 0)
         histos_new.append(h_new)
     return histos_new
 
 
 class Subtract:
     """Class for subtracting two histograms"""
     def __init__(self, name, nameA, nameB, title=""):
         """Constructor
 
         Arguments:
         name  -- String for name of the resulting histogram (A-B)
         nameA -- String for A histogram
         nameB -- String for B histogram
 
         Keyword arguments:
         title -- String for a title of the resulting histogram (default "")
 
         Uncertainties are calculated with the assumption that B is a
         subset of A, and the histograms contain event counts.
         """
         self._name = name
         self._nameA = nameA
         self._nameB = nameB
         self._title = title
 
     def __str__(self):
         """String representation, returns the name"""
         return self._name
 
     def create(self, tdirectory):
         """Create and return the fake+duplicate histogram from a TDirectory"""
         histoA = _getObject(tdirectory, self._nameA)
         histoB = _getObject(tdirectory, self._nameB)
 
         if not histoA or not histoB:
             return None
 
         ret = histoA.Clone(self._name)
         ret.SetTitle(self._title)
 
         # Disable canExtend if it is set, otherwise setting the
         # overflow bin will extend instead, possibly causing weird
         # effects downstream
         ret.SetCanExtend(False)
 
         for i in range(0, histoA.GetNbinsX()+2): # include under- and overflow too
             val = histoA.GetBinContent(i)-histoB.GetBinContent(i)
             ret.SetBinContent(i, val)
             ret.SetBinError(i, math.sqrt(val))
 
         return ret
 
 class Transform:
     """Class to transform bin contents in an arbitrary way."""
     def __init__(self, name, histo, func, title=""):
         """Constructor.
 
         Argument:
         name  -- String for name of the resulting histogram
         histo -- String for a source histogram (needs to be cumulative)
         func  -- Function to operate on the bin content
         """
         self._name = name
         self._histo = histo
         self._func = func
         self._title = title
 
     def __str__(self):
         """String representation, returns the name"""
         return self._name
 
     def create(self, tdirectory):
         """Create and return the transformed histogram from a TDirectory"""
         histo = _getOrCreateObject(tdirectory, self._histo)
         if not histo:
             return None
 
         ret = histo.Clone(self._name)
         ret.SetTitle(self._title)
 
         # Disable canExtend if it is set, otherwise setting the
         # overflow bin will extend instead, possibly causing weird
         # effects downstream
         ret.SetCanExtend(False)
 
         for i in range(0, histo.GetNbinsX()+2):
             ret.SetBinContent(i, self._func(histo.GetBinContent(i)))
         return ret
 
 class FakeDuplicate:
     """Class to calculate the fake+duplicate rate"""
     def __init__(self, name, assoc, dup, reco, title=""):
         """Constructor.
 
         Arguments:
         name  -- String for the name of the resulting efficiency histogram
         assoc -- String for the name of the "associated" histogram
         dup   -- String for the name of the "duplicates" histogram
         reco  -- String for the name of the "reco" (denominator) histogram
 
         Keyword arguments:
         title  -- String for a title of the resulting histogram (default "")
 
         The result is calculated as 1 - (assoc - dup) / reco
         """
         self._name = name
         self._assoc = assoc
         self._dup = dup
         self._reco = reco
         self._title = title
 
     def __str__(self):
         """String representation, returns the name"""
         return self._name
 
     def create(self, tdirectory):
         """Create and return the fake+duplicate histogram from a TDirectory"""
         # Get the numerator/denominator histograms
         hassoc = _getObject(tdirectory, self._assoc)
         hdup = _getObject(tdirectory, self._dup)
         hreco = _getObject(tdirectory, self._reco)
 
         # Skip if any of them does not exist
         if not hassoc or not hdup or not hreco:
             return None
 
         hfakedup = hreco.Clone(self._name)
         hfakedup.SetTitle(self._title)
 
         for i in range(1, hassoc.GetNbinsX()+1):
             numerVal = hassoc.GetBinContent(i) - hdup.GetBinContent(i)
             denomVal = hreco.GetBinContent(i)
 
             fakedupVal = (1 - numerVal / denomVal) if denomVal != 0.0 else 0.0
             errVal = math.sqrt(fakedupVal*(1-fakedupVal)/denomVal) if (denomVal != 0.0 and fakedupVal <= 1) else 0.0
 
             hfakedup.SetBinContent(i, fakedupVal)
             hfakedup.SetBinError(i, errVal)
 
         return hfakedup
 
 class CutEfficiency:
     """Class for making a cut efficiency histograms.
 
           N after cut
     eff = -----------
             N total
     """
     def __init__(self, name, histo, title=""):
         """Constructor
 
         Arguments:
         name  -- String for name of the resulting histogram
         histo -- String for a source histogram (needs to be cumulative)
         """
         self._name = name
         self._histo = histo
         self._title = title
 
     def __str__(self):
         """String representation, returns the name"""
         return self._name
 
     def create(self, tdirectory):
         """Create and return the cut efficiency histogram from a TDirectory"""
         histo = _getOrCreateObject(tdirectory, self._histo)
         if not histo:
             return None
 
         # infer cumulative direction from the under/overflow bins
         ascending = histo.GetBinContent(0) < histo.GetBinContent(histo.GetNbinsX())
         if ascending:
             n_tot = histo.GetBinContent(histo.GetNbinsX())
         else:
             n_tot = histo.GetBinContent(0)
 
         if n_tot == 0:
             return histo
 
         ret = histo.Clone(self._name)
         ret.SetTitle(self._title)
 
         # calculate efficiency
         for i in range(1, histo.GetNbinsX()+1):
             n = histo.GetBinContent(i)
             val = n/n_tot
             errVal = math.sqrt(val*(1-val)/n_tot)
             ret.SetBinContent(i, val)
             ret.SetBinError(i, errVal)
         return ret
 
 class AggregateBins:
     """Class to create a histogram by aggregating bins of another histogram to a bin of the resulting histogram."""
     def __init__(self, name, histoName, mapping, normalizeTo=None, scale=None, renameBin=None, ignoreMissingBins=False, minExistingBins=None, originalOrder=False, reorder=None):
         """Constructor.
 
         Arguments:
         name      -- String for the name of the resulting histogram
         histoName -- String for the name of the source histogram
         mapping   -- Dictionary for mapping the bins (see below)
 
         Keyword arguments:
         normalizeTo -- Optional string of a bin label in the source histogram. If given, all bins of the resulting histogram are divided by the value of this bin.
         scale       -- Optional number for scaling the histogram (passed to ROOT.TH1.Scale())
         renameBin   -- Optional function (string -> string) to rename the bins of the input histogram
         originalOrder -- Boolean for using the order of bins in the histogram (default False)
         reorder     -- Optional function to reorder the bins
 
         Mapping structure (mapping):
 
         Dictionary (you probably want to use collections.OrderedDict)
         should be a mapping from the destination bin label to a list
         of source bin labels ("dst -> [src]").
         """
         self._name = name
         self._histoName = histoName
         self._mapping = mapping
         self._normalizeTo = normalizeTo
         self._scale = scale
         self._renameBin = renameBin
         self._ignoreMissingBins = ignoreMissingBins
         self._minExistingBins = minExistingBins
         self._originalOrder = originalOrder
         self._reorder = reorder
         if self._originalOrder and self._reorder is not None:
             raise Exception("reorder is not None and originalOrder is True, please set only one of them")
 
     def __str__(self):
         """String representation, returns the name"""
         return self._name
 
     def create(self, tdirectory):
         """Create and return the histogram from a TDirectory"""
         th1 = _getOrCreateObject(tdirectory, self._histoName)
         if th1 is None:
             return None
 
         binLabels = [""]*len(self._mapping)
         binValues = [None]*len(self._mapping)
 
         # TH1 can't really be used as a map/dict, so convert it here:
         values = _th1ToOrderedDict(th1, self._renameBin)
 
         binIndexOrder = [] # for reordering bins if self._originalOrder is True
         for i, (key, labels) in enumerate(self._mapping.items()):
             sumTime = 0.
             sumErrorSq = 0.
             nsum = 0
             for l in labels:
                 try:
                     sumTime += values[l][0]
                     sumErrorSq += values[l][1]**2
                     nsum += 1
                 except KeyError:
                     pass
 
             if nsum > 0:
                 binValues[i] = (sumTime, math.sqrt(sumErrorSq))
             binLabels[i] = key
 
             ivalue = len(values)+1
             if len(labels) > 0:
                 # first label doesn't necessarily exist (especially for
                 # the iteration timing plots), so let's test them all
                 for lab in labels:
                     if lab in values:
                         ivalue = list(values.keys()).index(lab)
                         break
             binIndexOrder.append( (ivalue, i) )
 
         if self._originalOrder:
             binIndexOrder.sort(key=lambda t: t[0])
             tmpVal = []
             tmpLab = []
             for i in range(0, len(binValues)):
                 fromIndex = binIndexOrder[i][1]
                 tmpVal.append(binValues[fromIndex])
                 tmpLab.append(binLabels[fromIndex])
             binValues = tmpVal
             binLabels = tmpLab
         if self._reorder is not None:
             order = self._reorder(tdirectory, binLabels)
             binValues = [binValues[i] for i in order]
             binLabels = [binLabels[i] for i in order]
 
         if self._minExistingBins is not None and (len(binValues)-binValues.count(None)) < self._minExistingBins:
             return None
 
         if self._ignoreMissingBins:
             for i, val in enumerate(binValues):
                 if val is None:
                     binLabels[i] = None
             binValues = [v for v in binValues if v is not None]
             binLabels = [v for v in binLabels if v is not None]
             if len(binValues) == 0:
                 return None
 
         result = ROOT.TH1F(self._name, self._name, len(binValues), 0, len(binValues))
         for i, (value, label) in enumerate(zip(binValues, binLabels)):
             if value is not None:
                 result.SetBinContent(i+1, value[0])
                 result.SetBinError(i+1, value[1])
             result.GetXaxis().SetBinLabel(i+1, label)
 
         if self._normalizeTo is not None:
             bin = th1.GetXaxis().FindBin(self._normalizeTo)
             if bin <= 0:
                 print("Trying to normalize {name} to {binlabel}, which does not exist".format(name=self._name, binlabel=self._normalizeTo))
                 sys.exit(1)
             value = th1.GetBinContent(bin)
             if value != 0:
                 result.Scale(1/value)
 
         if self._scale is not None:
             result.Scale(self._scale)
 
         return result
 
 class AggregateHistos:
     """Class to create a histogram by aggregating integrals of another histogram."""
     def __init__(self, name, mapping, normalizeTo=None):
         """Constructor.
 
         Arguments:
         name    -- String for the name of the resulting histogram
         mapping -- Dictionary for mapping the bin label to a histogram name
 
         Keyword arguments:
         normalizeTo -- Optional string for a histogram. If given, all bins of the resulting histograqm are divided by the integral of this histogram.
         """
         self._name = name
         self._mapping = mapping
         self._normalizeTo = normalizeTo
 
     def __str__(self):
         """String representation, returns the name"""
         return self._name
 
     def create(self, tdirectory):
         """Create and return the histogram from a TDirectory"""
         result = []
         for key, histoName in self._mapping.items():
             th1 = _getObject(tdirectory, histoName)
             if th1 is None:
                 continue
             result.append( (key, th1.Integral(0, th1.GetNbinsX()+1)) ) # include under- and overflow bins
         if len(result) == 0:
             return None
 
         res = ROOT.TH1F(self._name, self._name, len(result), 0, len(result))
 
         for i, (name, count) in enumerate(result):
             res.SetBinContent(i+1, count)
             res.GetXaxis().SetBinLabel(i+1, name)
 
         if self._normalizeTo is not None:
             th1 = _getObject(tdirectory, self._normalizeTo)
             if th1 is None:
                 return None
             scale = th1.Integral(0, th1.GetNbinsX()+1)
             res.Scale(1/scale)
 
         return res
 
 class ROC:
     """Class to construct a ROC curve (e.g. efficiency vs. fake rate) from two histograms"""
     def __init__(self, name, xhistoName, yhistoName, zaxis=False):
         """Constructor.
 
         Arguments:
         name       -- String for the name of the resulting histogram
         xhistoName -- String for the name of the x-axis histogram (or another "creator" object)
         yhistoName -- String for the name of the y-axis histogram (or another "creator" object)
 
         Keyword arguments:
         zaxis -- If set to True (default False), create a TGraph2D with z axis showing the cut value (recommended drawStyle 'pcolz')
         """
         self._name = name
         self._xhistoName = xhistoName
         self._yhistoName = yhistoName
         self._zaxis = zaxis
 
     def __str__(self):
         """String representation, returns the name"""
         return self._name
 
     def create(self, tdirectory):
         """Create and return the histogram from a TDirectory"""
         xhisto = _getOrCreateObject(tdirectory, self._xhistoName)
         yhisto = _getOrCreateObject(tdirectory, self._yhistoName);
         if xhisto is None or yhisto is None:
             return None
 
         x = []
         xerrup = []
         xerrdown = []
         y = []
         yerrup = []
         yerrdown = []
         z = []
 
         for i in range(1, xhisto.GetNbinsX()+1):
             x.append(xhisto.GetBinContent(i))
             xerrup.append(xhisto.GetBinError(i))
             xerrdown.append(xhisto.GetBinError(i))
 
             y.append(yhisto.GetBinContent(i))
             yerrup.append(yhisto.GetBinError(i))
             yerrdown.append(yhisto.GetBinError(i))
 
             z.append(xhisto.GetXaxis().GetBinUpEdge(i))
 
         # If either axis has only zeroes, no graph makes no point
         if x.count(0.0) == len(x) or y.count(0.0) == len(y):
             return None
 
         arr = lambda v: array.array("d", v)
         gr = None
         if self._zaxis:
             gr = ROOT.TGraph2D(len(x), arr(x), arr(y), arr(z))
         else:
             gr = ROOT.TGraphAsymmErrors(len(x), arr(x), arr(y), arr(xerrdown), arr(xerrup), arr(yerrdown), arr(yerrup))
         gr.SetTitle("")
         return gr
 
 
 # Plot styles
 _plotStylesColor = [4, 2, ROOT.kBlack, ROOT.kOrange+7, ROOT.kMagenta-3, ROOT.kGreen+2]
 _plotStylesMarker = [21, 20, 22, 34, 33, 23]
 
 def _drawFrame(pad, bounds, zmax=None, xbinlabels=None, xbinlabelsize=None, xbinlabeloption=None, ybinlabels=None, suffix=""):
     """Function to draw a frame
 
     Arguments:
     pad    -- TPad to where the frame is drawn
     bounds -- List or 4-tuple for (xmin, ymin, xmax, ymax)
 
     Keyword arguments:
     zmax            -- Maximum Z, needed for TH2 histograms
     xbinlabels      -- Optional list of strings for x axis bin labels
     xbinlabelsize   -- Optional number for the x axis bin label size
     xbinlabeloption -- Optional string for the x axis bin options (passed to ROOT.TH1.LabelsOption())
     suffix          -- Optional string for a postfix of the frame name
     """
     if xbinlabels is None and ybinlabels is None:
         frame = pad.DrawFrame(*bounds)
     else:
         # Special form needed if want to set x axis bin labels
         nbins = len(xbinlabels)
         if ybinlabels is None:
             frame = ROOT.TH1F("hframe"+suffix, "", nbins, bounds[0], bounds[2])
             frame.SetMinimum(bounds[1])
             frame.SetMaximum(bounds[3])
             frame.GetYaxis().SetLimits(bounds[1], bounds[3])
         else:
             ybins = len(ybinlabels)
             frame = ROOT.TH2F("hframe"+suffix, "", nbins,bounds[0],bounds[2], ybins,bounds[1],bounds[3])
             frame.SetMaximum(zmax)
 
         frame.SetBit(ROOT.TH1.kNoStats)
         frame.SetBit(ROOT.kCanDelete)
         frame.Draw("")
 
         xaxis = frame.GetXaxis()
         for i in range(nbins):
             xaxis.SetBinLabel(i+1, xbinlabels[i])
         if xbinlabelsize is not None:
             xaxis.SetLabelSize(xbinlabelsize)
         if xbinlabeloption is not None:
             frame.LabelsOption(xbinlabeloption)
 
         if ybinlabels is not None:
             yaxis = frame.GetYaxis()
             for i, lab in enumerate(ybinlabels):
                 yaxis.SetBinLabel(i+1, lab)
             if xbinlabelsize is not None:
                 yaxis.SetLabelSize(xbinlabelsize)
             if xbinlabeloption is not None:
                 frame.LabelsOption(xbinlabeloption, "Y")
 
     return frame
 
 class Frame:
     """Class for creating and managing a frame for a simple, one-pad plot"""
     def __init__(self, pad, bounds, zmax, nrows, xbinlabels=None, xbinlabelsize=None, xbinlabeloption=None, ybinlabels=None):
         self._pad = pad
         self._frame = _drawFrame(pad, bounds, zmax, xbinlabels, xbinlabelsize, xbinlabeloption, ybinlabels)
 
         yoffsetFactor = 1
         xoffsetFactor = 0
 
         self._frame.GetYaxis().SetTitleOffset(self._frame.GetYaxis().GetTitleOffset()*yoffsetFactor)
         self._frame.GetXaxis().SetTitleOffset(self._frame.GetXaxis().GetTitleOffset()*xoffsetFactor)
 
 
     def setLogx(self, log):
         self._pad.SetLogx(log)
 
     def setLogy(self, log):
         self._pad.SetLogy(log)
 
     def setGridx(self, grid):
         self._pad.SetGridx(grid)
 
     def setGridy(self, grid):
         self._pad.SetGridy(grid)
 
     def adjustMarginLeft(self, adjust):
         self._pad.SetLeftMargin(self._pad.GetLeftMargin()+adjust)
         # Need to redraw frame after adjusting the margin
         self._pad.cd()
         self._frame.Draw("")
 
     def adjustMarginRight(self, adjust):
         self._pad.SetRightMargin(self._pad.GetRightMargin()+adjust)
         # Need to redraw frame after adjusting the margin
         self._pad.cd()
         self._frame.Draw("")
 
     def setTitle(self, title):
         self._frame.SetTitle(title)
 
     def setXTitle(self, title):
         self._frame.GetXaxis().SetTitle(title)
 
     def setXTitleSize(self, size):
         self._frame.GetXaxis().SetTitleSize(size)
 
     def setXTitleOffset(self, offset):
         self._frame.GetXaxis().SetTitleOffset(offset)
 
     def setXLabelSize(self, size):
         self._frame.GetXaxis().SetLabelSize(size)
 
     def setYTitle(self, title):
         self._frame.GetYaxis().SetTitle(title)
 
     def setYTitleSize(self, size):
         self._frame.GetYaxis().SetTitleSize(size)
 
     def setYTitleOffset(self, offset):
         self._frame.GetYaxis().SetTitleOffset(offset)
 
     def redrawAxis(self):
         self._pad.RedrawAxis()
 
 class FrameRatio:
     """Class for creating and managing a frame for a ratio plot with two subpads"""
     def __init__(self, pad, bounds, zmax, ratioBounds, ratioFactor, nrows, xbinlabels=None, xbinlabelsize=None, xbinlabeloption=None, ratioYTitle=_ratioYTitle):
         self._parentPad = pad
         self._pad = pad.cd(1)
         if xbinlabels is not None:
             self._frame = _drawFrame(self._pad, bounds, zmax, [""]*len(xbinlabels))
         else:
             self._frame = _drawFrame(self._pad, bounds, zmax)
         self._padRatio = pad.cd(2)
         self._frameRatio = _drawFrame(self._padRatio, ratioBounds, zmax, xbinlabels, xbinlabelsize, xbinlabeloption)
 
         self._frame.GetXaxis().SetLabelSize(0)
         self._frame.GetXaxis().SetTitleSize(0)
 
         yoffsetFactor = ratioFactor
         xoffsetFactor = 0
 
         self._frame.GetYaxis().SetTitleOffset(self._frameRatio.GetYaxis().GetTitleOffset()*yoffsetFactor)
         self._frameRatio.GetYaxis().SetLabelSize(int(self._frameRatio.GetYaxis().GetLabelSize()*0.8))
         self._frameRatio.GetYaxis().SetTitleOffset(self._frameRatio.GetYaxis().GetTitleOffset()*yoffsetFactor)
         self._frameRatio.GetXaxis().SetTitleOffset(self._frameRatio.GetXaxis().GetTitleOffset()*xoffsetFactor)
 
         self._frameRatio.GetYaxis().SetNdivisions(4, 5, 0)
 
         self._frameRatio.GetYaxis().SetTitle(ratioYTitle)
 
     def setLogx(self, log):
         self._pad.SetLogx(log)
         self._padRatio.SetLogx(log)
 
     def setLogy(self, log):
         self._pad.SetLogy(log)
 
     def setGridx(self, grid):
         self._pad.SetGridx(grid)
         self._padRatio.SetGridx(grid)
 
     def setGridy(self, grid):
         self._pad.SetGridy(grid)
         self._padRatio.SetGridy(grid)
 
     def adjustMarginLeft(self, adjust):
         self._pad.SetLeftMargin(self._pad.GetLeftMargin()+adjust)
         self._padRatio.SetLeftMargin(self._padRatio.GetLeftMargin()+adjust)
         # Need to redraw frame after adjusting the margin
         self._pad.cd()
         self._frame.Draw("")
         self._padRatio.cd()
         self._frameRatio.Draw("")
 
     def adjustMarginRight(self, adjust):
         self._pad.SetRightMargin(self._pad.GetRightMargin()+adjust)
         self._padRatio.SetRightMargin(self._padRatio.GetRightMargin()+adjust)
         # Need to redraw frames after adjusting the margin
         self._pad.cd()
         self._frame.Draw("")
         self._padRatio.cd()
         self._frameRatio.Draw("")
 
     def setTitle(self, title):
         self._frame.SetTitle(title)
 
     def setXTitle(self, title):
         self._frameRatio.GetXaxis().SetTitle(title)
 
     def setXTitleSize(self, size):
         self._frameRatio.GetXaxis().SetTitleSize(size)
 
     def setXTitleOffset(self, offset):
         self._frameRatio.GetXaxis().SetTitleOffset(offset)
 
     def setXLabelSize(self, size):
         self._frameRatio.GetXaxis().SetLabelSize(size)
 
     def setYTitle(self, title):
         self._frame.GetYaxis().SetTitle(title)
 
     def setYTitleRatio(self, title):
         self._frameRatio.GetYaxis().SetTitle(title)
 
     def setYTitleSize(self, size):
         self._frame.GetYaxis().SetTitleSize(size)
         self._frameRatio.GetYaxis().SetTitleSize(size)
 
     def setYTitleOffset(self, offset):
         self._frame.GetYaxis().SetTitleOffset(offset)
         self._frameRatio.GetYaxis().SetTitleOffset(offset)
 
     def redrawAxis(self):
         self._padRatio.RedrawAxis()
         self._pad.RedrawAxis()
 
         self._parentPad.cd()
 
         # pad to hide the lowest y axis label of the main pad
         xmin=0.065
         ymin=0.285
         xmax=0.128
         ymax=0.33
         self._coverPad = ROOT.TPad("coverpad", "coverpad", xmin, ymin, xmax, ymax)
         self._coverPad.SetBorderMode(0)
         self._coverPad.Draw()
 
         self._pad.cd()
         self._pad.Pop() # Move the first pad on top
 
 class FrameTGraph2D:
     """Class for creating and managing a frame for a plot from TGraph2D"""
     def __init__(self, pad, bounds, histos, ratioOrig, ratioFactor):
         self._pad = pad
         if ratioOrig:
             self._pad = pad.cd(1)
 
             # adjust margins because of not having the ratio, we want
             # the same bottom margin, so some algebra gives this
             (xlow, ylow, width, height) = (self._pad.GetXlowNDC(), self._pad.GetYlowNDC(), self._pad.GetWNDC(), self._pad.GetHNDC())
             xup = xlow+width
             yup = ylow+height
 
             bottomMargin = self._pad.GetBottomMargin()
             bottomMarginNew = ROOT.gStyle.GetPadBottomMargin()
 
             ylowNew = yup - (1-bottomMargin)/(1-bottomMarginNew) * (yup-ylow)
             topMarginNew = self._pad.GetTopMargin() * (yup-ylow)/(yup-ylowNew)
 
             self._pad.SetPad(xlow, ylowNew, xup, yup)
             self._pad.SetTopMargin(topMarginNew)
             self._pad.SetBottomMargin(bottomMarginNew)
 
         self._xtitleoffset = 1.8
         self._ytitleoffset = 2.3
 
         self._firstHisto = histos[0]
 
     def setLogx(self, log):
         pass
 
     def setLogy(self, log):
         pass
 
     def setGridx(self, grid):
         pass
 
     def setGridy(self, grid):
         pass
 
     def adjustMarginLeft(self, adjust):
         self._pad.SetLeftMargin(self._pad.GetLeftMargin()+adjust)
         self._pad.cd()
 
     def adjustMarginRight(self, adjust):
         self._pad.SetRightMargin(self._pad.GetRightMargin()+adjust)
         self._pad.cd()
 
     def setTitle(self, title):
         pass
 
     def setXTitle(self, title):
         self._xtitle = title
 
     def setXTitleSize(self, size):
         self._xtitlesize = size
 
     def setXTitleOffset(self, size):
         self._xtitleoffset = size
 
     def setXLabelSize(self, size):
         self._xlabelsize = size
 
     def setYTitle(self, title):
         self._ytitle = title
 
     def setYTitleSize(self, size):
         self._ytitlesize = size
 
     def setYTitleOffset(self, offset):
         self._ytitleoffset = offset
 
     def setZTitle(self, title):
         self._firstHisto.GetZaxis().SetTitle(title)
 
     def setZTitleOffset(self, offset):
         self._firstHisto.GetZaxis().SetTitleOffset(offset)
 
     def redrawAxis(self):
         # set top view
         epsilon = 1e-7
         self._pad.SetPhi(epsilon)
         self._pad.SetTheta(90+epsilon)
 
         self._firstHisto.GetXaxis().SetTitleOffset(self._xtitleoffset)
         self._firstHisto.GetYaxis().SetTitleOffset(self._ytitleoffset)
 
         if hasattr(self, "_xtitle"):
             self._firstHisto.GetXaxis().SetTitle(self._xtitle)
         if hasattr(self, "_xtitlesize"):
             self._firstHisto.GetXaxis().SetTitleSize(self._xtitlesize)
         if hasattr(self, "_xlabelsize"):
             self._firstHisto.GetXaxis().SetLabelSize(self._labelsize)
         if hasattr(self, "_ytitle"):
             self._firstHisto.GetYaxis().SetTitle(self._ytitle)
         if hasattr(self, "_ytitlesize"):
             self._firstHisto.GetYaxis().SetTitleSize(self._ytitlesize)
         if hasattr(self, "_ytitleoffset"):
             self._firstHisto.GetYaxis().SetTitleOffset(self._ytitleoffset)
 
 class PlotText:
     """Abstraction on top of TLatex"""
     def __init__(self, x, y, text, size=None, bold=True, align="left", color=ROOT.kBlack, font=None):
         """Constructor.
 
         Arguments:
         x     -- X coordinate of the text (in NDC)
         y     -- Y coordinate of the text (in NDC)
         text  -- String to draw
         size  -- Size of text (None for the default value, taken from gStyle)
         bold  -- Should the text be bold?
         align -- Alignment of text (left, center, right)
         color -- Color of the text
         font  -- Specify font explicitly
         """
         self._x = x
         self._y = y
         self._text = text
 
         self._l = ROOT.TLatex()
         self._l.SetNDC()
         if not bold:
             self._l.SetTextFont(self._l.GetTextFont()-20) # bold -> normal
         if font is not None:
             self._l.SetTextFont(font)
         if size is not None:
             self._l.SetTextSize(size)
         if isinstance(align, str):
             if align.lower() == "left":
                 self._l.SetTextAlign(11)
             elif align.lower() == "center":
                 self._l.SetTextAlign(21)
             elif align.lower() == "right":
                 self._l.SetTextAlign(31)
             else:
                 raise Exception("Error: Invalid option '%s' for text alignment! Options are: 'left', 'center', 'right'."%align)
         else:
             self._l.SetTextAlign(align)
         self._l.SetTextColor(color)
 
     def Draw(self, options=None):
         """Draw the text to the current TPad.
 
         Arguments:
         options -- For interface compatibility, ignored
 
         Provides interface compatible with ROOT's drawable objects.
         """
         self._l.DrawLatex(self._x, self._y, self._text)
 
 
 class PlotTextBox:
     """Class for drawing text and a background box."""
     def __init__(self, xmin, ymin, xmax, ymax, lineheight=0.04, fillColor=ROOT.kWhite, transparent=True, **kwargs):
         """Constructor
 
         Arguments:
         xmin        -- X min coordinate of the box (NDC)
         ymin        -- Y min coordinate of the box (NDC) (if None, deduced automatically)
         xmax        -- X max coordinate of the box (NDC)
         ymax        -- Y max coordinate of the box (NDC)
         lineheight  -- Line height
         fillColor   -- Fill color of the box
         transparent -- Should the box be transparent? (in practive the TPave is not created)
 
         Keyword arguments are forwarded to constructor of PlotText
         """
         # ROOT.TPave Set/GetX1NDC() etc don't seem to work as expected.
         self._xmin = xmin
         self._xmax = xmax
         self._ymin = ymin
         self._ymax = ymax
         self._lineheight = lineheight
         self._fillColor = fillColor
         self._transparent = transparent
         self._texts = []
         self._textArgs = {}
         self._textArgs.update(kwargs)
 
         self._currenty = ymax
 
     def addText(self, text):
         """Add text to current position"""
         self._currenty -= self._lineheight
         self._texts.append(PlotText(self._xmin+0.01, self._currenty, text, **self._textArgs))
 
     def width(self):
         return self._xmax-self._xmin
 
     def move(self, dx=0, dy=0, dw=0, dh=0):
         """Move the box and the contained text objects
 
         Arguments:
         dx -- Movement in x (positive is to right)
         dy -- Movement in y (positive is to up)
         dw -- Increment of width (negative to decrease width)
         dh -- Increment of height (negative to decrease height)
 
         dx and dy affect to both box and text objects, dw and dh
         affect the box only.
         """
         self._xmin += dx
         self._xmax += dx
         if self._ymin is not None:
             self._ymin += dy
         self._ymax += dy
 
         self._xmax += dw
         if self._ymin is not None:
             self._ymin -= dh
 
         for t in self._texts:
             t._x += dx
             t._y += dy
 
     def Draw(self, options=""):
         """Draw the box and the text to the current TPad.
 
         Arguments:
         options -- Forwarded to ROOT.TPave.Draw(), and the Draw() of the contained objects
         """
         if not self._transparent:
             ymin = self.ymin
             if ymin is None:
                 ymin = self.currenty - 0.01
             self._pave = ROOT.TPave(self.xmin, self.ymin, self.xmax, self.ymax, 0, "NDC")
             self._pave.SetFillColor(self.fillColor)
             self._pave.Draw(options)
         for t in self._texts:
             t.Draw(options)
 
 def _copyStyle(src, dst):
     properties = []
     if hasattr(src, "GetLineColor") and hasattr(dst, "SetLineColor"):
         properties.extend(["LineColor", "LineStyle", "LineWidth"])
     if hasattr(src, "GetFillColor") and hasattr(dst, "SetFillColor"):
         properties.extend(["FillColor", "FillStyle"])
     if hasattr(src, "GetMarkerColor") and hasattr(dst, "SetMarkerColor"):
         properties.extend(["MarkerColor", "MarkerSize", "MarkerStyle"])
 
     for prop in properties:
         getattr(dst, "Set"+prop)(getattr(src, "Get"+prop)())
 
 class PlotEmpty:
     """Denotes an empty place in a group."""
     def __init__(self):
         pass
 
     def getName(self):
         return None
 
     def drawRatioUncertainty(self):
         return False
 
     def create(self, *args, **kwargs):
         pass
 
     def isEmpty(self):
         return True
 
     def getNumberOfHistograms(self):
         return 0
 
 class Plot:
     """Represents one plot, comparing one or more histograms."""
     def __init__(self, name, **kwargs):
         """ Constructor.
 
         Arguments:
         name -- String for name of the plot, or Efficiency object
 
         Keyword arguments:
         fallback     -- Dictionary for specifying fallback (default None)
         outname      -- String for an output name of the plot (default None for the same as 'name')
         title        -- String for a title of the plot (default None)
         xtitle       -- String for x axis title (default None)
         xtitlesize   -- Float for x axis title size (default None)
         xtitleoffset -- Float for x axis title offset (default None)
         xlabelsize   -- Float for x axis label size (default None)
         ytitle       -- String for y axis title (default None)
         ytitlesize   -- Float for y axis title size (default None)
         ytitleoffset -- Float for y axis title offset (default None)
         ztitle       -- String for z axis title (default None)
         ztitleoffset -- Float for z axis title offset (default None)
         xmin         -- Float for x axis minimum (default None, i.e. automatic)
         xmax         -- Float for x axis maximum (default None, i.e. automatic)
         ymin         -- Float for y axis minimum (default 0)
         ymax         -- Float for y axis maximum (default None, i.e. automatic)
         xlog         -- Bool for x axis log status (default False)
         ylog         -- Bool for y axis log status (default False)
         xgrid        -- Bool for x axis grid status (default True)
         ygrid        -- Bool for y axis grid status (default True)
         stat         -- Draw stat box? (default False)
         fit          -- Do gaussian fit? (default False)
         statx        -- Stat box x coordinate (default 0.65)
         staty        -- Stat box y coordinate (default 0.8)
         statyadjust  -- List of floats for stat box y coordinate adjustments (default None)
         normalizeToUnitArea -- Normalize histograms to unit area? (default False)
         normalizeToNumberOfEvents -- Normalize histograms to number of events? If yes, the PlotFolder needs 'numberOfEventsHistogram' set to a histogram filled once per event (default False)
         profileX     -- Take histograms via ProfileX()? (default False)
         fitSlicesY   -- Take histograms via FitSlicesY() (default False)
         rebinX       -- rebin x axis (default None)
         scale        -- Scale histograms by a number (default None)
         xbinlabels   -- List of x axis bin labels (if given, default None)
         xbinlabelsize -- Size of x axis bin labels (default None)
         xbinlabeloption -- Option string for x axis bin labels (default None)
         removeEmptyBins -- Bool for removing empty bins, but only if histogram has bin labels (default False)
         printBins    -- Bool for printing bin values, but only if histogram has bin labels (default False)
         drawStyle    -- If "hist", draw as line instead of points (default None)
         drawCommand  -- Deliver this to Draw() (default: None for same as drawStyle)
         lineWidth    -- If drawStyle=="hist", the width of line (default 2)
         legendDx     -- Float for moving TLegend in x direction for separate=True (default None)
         legendDy     -- Float for moving TLegend in y direction for separate=True (default None)
         legendDw     -- Float for changing TLegend width for separate=True (default None)
         legendDh     -- Float for changing TLegend height for separate=True (default None)
         legend       -- Bool to enable/disable legend (default True)
         adjustMarginLeft  -- Float for adjusting left margin (default None)
         adjustMarginRight  -- Float for adjusting right margin (default None)
         ratio        -- Possibility to disable ratio for this particular plot (default None)
         ratioYmin    -- Float for y axis minimum in ratio pad (default: list of values)
         ratioYmax    -- Float for y axis maximum in ratio pad (default: list of values)
         ratioFit     -- Fit straight line in ratio? (default None)
         ratioUncertainty -- Plot uncertainties on ratio? (default True)
         ratioCoverageXrange -- Range of x axis values (xmin,xmax) to limit the automatic ratio y axis range calculation to (default None for disabled)
         histogramModifier -- Function to be called in create() to modify the histograms (default None)
         """
         self._name = name
 
         def _set(attr, default):
             setattr(self, "_"+attr, kwargs.get(attr, default))
 
         _set("fallback", None)
         _set("outname", None)
 
         _set("title", None)
         _set("xtitle", None)
         _set("xtitlesize", None)
         _set("xtitleoffset", None)
         _set("xlabelsize", None)
         _set("ytitle", None)
         _set("ytitlesize", None)
         _set("ytitleoffset", None)
         _set("ztitle", None)
         _set("ztitleoffset", None)
 
         _set("xmin", None)
         _set("xmax", None)
         _set("ymin", 0.)
         _set("ymax", None)
 
         _set("xlog", False)
         _set("ylog", False)
         _set("xgrid", True)
         _set("ygrid", True)
 
         _set("stat", False)
         _set("fit", False)
 
         _set("statx", 0.65)
         _set("staty", 0.8)
         _set("statyadjust", None)
 
         _set("normalizeToUnitArea", False)
         _set("normalizeToNumberOfEvents", False)
         _set("profileX", False)
         _set("fitSlicesY", False)
         _set("rebinX", None)
 
         _set("scale", None)
         _set("xbinlabels", None)
         _set("xbinlabelsize", None)
         _set("xbinlabeloption", None)
         _set("removeEmptyBins", False)
         _set("printBins", False)
 
         _set("drawStyle", "EP")
         _set("drawCommand", None)
         _set("lineWidth", 2)
 
         _set("legendDx", None)
         _set("legendDy", None)
         _set("legendDw", None)
         _set("legendDh", None)
         _set("legend", True)
 
         _set("adjustMarginLeft", None)
         _set("adjustMarginRight", None)
 
         _set("ratio", None)
         _set("ratioYmin", [0, 0.2, 0.5, 0.7, 0.8, 0.9, 0.95])
         _set("ratioYmax", [1.05, 1.1, 1.2, 1.3, 1.5, 1.8, 2, 2.5, 3, 4, 5])
         _set("ratioFit", None)
         _set("ratioUncertainty", True)
         _set("ratioCoverageXrange", None)
 
         _set("histogramModifier", None)
 
         self._histograms = []
 
     def setProperties(self, **kwargs):
         for name, value in kwargs.items():
             if not hasattr(self, "_"+name):
                 raise Exception("No attribute '%s'" % name)
             setattr(self, "_"+name, value)
 
     def clone(self, **kwargs):
         if not self.isEmpty():
             raise Exception("Plot can be cloned only before histograms have been created")
         cl = copy.copy(self)
         cl.setProperties(**kwargs)
         return cl
 
     def getNumberOfHistograms(self):
         """Return number of existing histograms."""
         return len([h for h in self._histograms if h is not None])
 
     def isEmpty(self):
         """Return true if there are no histograms created for the plot"""
         return self.getNumberOfHistograms() == 0
 
     def isTGraph2D(self):
         for h in self._histograms:
             if isinstance(h, ROOT.TGraph2D):
                 return True
         return False
 
     def isRatio(self, ratio):
         if self._ratio is None:
             return ratio
         return ratio and self._ratio
 
     def setName(self, name):
         self._name = name
 
     def getName(self):
         if self._outname is not None:
             return self._outname
         if isinstance(self._name, list):
             return str(self._name[0])
         else:
             return str(self._name)
 
     def drawRatioUncertainty(self):
         """Return true if the ratio uncertainty should be drawn"""
         return self._ratioUncertainty
 
     def _createOne(self, name, index, tdir, nevents):
         """Create one histogram from a TDirectory."""
         if tdir == None:
             return None
 
         # If name is a list, pick the name by the index
         if isinstance(name, list):
             name = name[index]
 
         h = _getOrCreateObject(tdir, name)
         if h is not None and self._normalizeToNumberOfEvents and nevents is not None and nevents != 0:
             h.Scale(1.0/nevents)
         return h
 
     def create(self, tdirNEvents, requireAllHistograms=False):
         """Create histograms from list of TDirectories"""
         self._histograms = [self._createOne(self._name, i, tdirNEvent[0], tdirNEvent[1]) for i, tdirNEvent in enumerate(tdirNEvents)]
 
         if self._fallback is not None:
             profileX = [self._profileX]*len(self._histograms)
             for i in range(0, len(self._histograms)):
                 if self._histograms[i] is None:
                     self._histograms[i] = self._createOne(self._fallback["name"], i, tdirNEvents[i][0], tdirNEvents[i][1])
                     profileX[i] = self._fallback.get("profileX", self._profileX)
 
         if self._histogramModifier is not None:
             self._histograms = self._histogramModifier(self._histograms)
 
         if len(self._histograms) > len(_plotStylesColor):
             raise Exception("More histograms (%d) than there are plot styles (%d) defined. Please define more plot styles in this file" % (len(self._histograms), len(_plotStylesColor)))
 
         # Modify histograms here in case self._name returns numbers
         # and self._histogramModifier creates the histograms from
         # these numbers
         def _modifyHisto(th1, profileX):
             if th1 is None:
                 return None
 
             if profileX:
                 th1 = th1.ProfileX()
 
             if self._fitSlicesY:
                 ROOT.TH1.AddDirectory(True)
                 th1.FitSlicesY()
                 th1 = ROOT.gDirectory.Get(th1.GetName()+"_2")
                 th1.SetDirectory(None)
                 #th1.SetName(th1.GetName()+"_ref")
                 ROOT.TH1.AddDirectory(False)
 
             if self._title is not None:
                 th1.SetTitle(self._title)
 
             if self._scale is not None:
                 th1.Scale(self._scale)
 
             return th1
 
         if self._fallback is not None:
             self._histograms = list(map(_modifyHisto, self._histograms, profileX))
         else:
             self._histograms = list(map(lambda h: _modifyHisto(h, self._profileX), self._histograms))
         if requireAllHistograms and None in self._histograms:
             self._histograms = [None]*len(self._histograms)
 
     def _setStats(self, histos, startingX, startingY):
         """Set stats box."""
         if not self._stat:
             for h in histos:
                 if h is not None and hasattr(h, "SetStats"):
                     h.SetStats(0)
             return
 
         def _doStats(h, col, dy):
             if h is None:
                 return
             h.SetStats(True)
 
             if self._fit and h.GetEntries() > 0.5:
                 h.Fit("gaus", "Q")
                 f = h.GetListOfFunctions().FindObject("gaus")
                 if f == None:
                     h.SetStats(0)
                     return
                 f.SetLineColor(col)
                 f.SetLineWidth(1)
             h.Draw()
             ROOT.gPad.Update()
             st = h.GetListOfFunctions().FindObject("stats")
             if self._fit:
                 st.SetOptFit(0o010)
                 st.SetOptStat(1001)
             st.SetOptStat(1110)
             st.SetX1NDC(startingX)
             st.SetX2NDC(startingX+0.3)
             st.SetY1NDC(startingY+dy)
             st.SetY2NDC(startingY+dy+0.12)
             st.SetTextColor(col)
 
         dy = 0.0
         for i, h in enumerate(histos):
             if self._statyadjust is not None and i < len(self._statyadjust):
                 dy += self._statyadjust[i]
 
             _doStats(h, _plotStylesColor[i], dy)
             dy -= 0.16
 
     def _normalize(self):
         """Normalise histograms to unit area"""
 
         for h in self._histograms:
             if h is None:
                 continue
             i = h.Integral()
             if i == 0:
                 continue
             if h.GetSumw2().fN <= 0: # to suppress warning
                 h.Sumw2()
             h.Scale(1.0/i)
 
     def draw(self, pad, ratio, ratioFactor, nrows):
         """Draw the histograms using values for a given algorithm."""
 #        if len(self._histograms) == 0:
 #            print "No histograms for plot {name}".format(name=self._name)
 #            return
 
         isTGraph2D = self.isTGraph2D()
         if isTGraph2D:
             # Ratios for the TGraph2Ds is not that interesting
             ratioOrig = ratio
             ratio = False
 
         if self._normalizeToUnitArea:
             self._normalize()
 
         if self._rebinX is not None:
             for h in self._histograms:
                 h.Rebin(self._rebinX)
 
         def _styleMarker(h, msty, col):
             h.SetMarkerStyle(msty)
             h.SetMarkerColor(col)
             h.SetMarkerSize(0.7)
             h.SetLineColor(col)
             h.SetLineWidth(1)
 
         def _styleHist(h, msty, col):
             _styleMarker(h, msty, col)
             h.SetLineColor(col)
             h.SetLineWidth(self._lineWidth)
 
         # Use marker or hist style
         style = _styleMarker
         if "hist" in self._drawStyle.lower():
             style = _styleHist
         if len(self._histograms) > 0 and isinstance(self._histograms[0], ROOT.TGraph):
             if "l" in self._drawStyle.lower():
                 style = _styleHist
 
         # Apply style to histograms, filter out Nones
         histos = []
         for i, h in enumerate(self._histograms):
             if h is None:
                 continue
             style(h, _plotStylesMarker[i], _plotStylesColor[i])
             histos.append(h)
         if len(histos) == 0:
             if verbose:
                 print("No histograms for plot {name}".format(name=self.getName()))
             return
 
         # Extract x bin labels, make sure that only bins with same
         # label are compared with each other
         histosHaveBinLabels = len(histos[0].GetXaxis().GetBinLabel(1)) > 0
         xbinlabels = self._xbinlabels
         ybinlabels = None
         if xbinlabels is None:
             if histosHaveBinLabels:
                 xbinlabels = _mergeBinLabelsX(histos)
                 if isinstance(histos[0], ROOT.TH2):
                     ybinlabels = _mergeBinLabelsY(histos)
 
                 if len(histos) > 1: # don't bother if only one histogram
                     # doing this for TH2 is pending for use case, for now there is only 1 histogram/plot for TH2
                     histos = _th1IncludeOnlyBins(histos, xbinlabels)
                     self._tmp_histos = histos # need to keep these in memory too ...
 
         # Remove empty bins, but only if histograms have bin labels
         if self._removeEmptyBins and histosHaveBinLabels:
             # at this point, all histograms have been "equalized" by their x binning and labels
             # therefore remove bins which are empty in all histograms
             if isinstance(histos[0], ROOT.TH2):
                 (histos, xbinlabels, ybinlabels) = _th2RemoveEmptyBins(histos, xbinlabels, ybinlabels)
             else:
                 (histos, xbinlabels) = _th1RemoveEmptyBins(histos, xbinlabels)
             self._tmp_histos = histos # need to keep these in memory too ...
             if len(histos) == 0:
                 if verbose:
                     print("No histograms with non-empty bins for plot {name}".format(name=self.getName()))
                 return
 
         if self._printBins and histosHaveBinLabels:
             print("####################")
             print(self._name)
             width = max([len(l) for l in xbinlabels])
             tmp = "%%-%ds " % width
             for b in range(1, histos[0].GetNbinsX()+1):
                 s = tmp % xbinlabels[b-1]
                 for h in histos:
                     s += "%.3f " % h.GetBinContent(b)
                 print(s)
             print()
 
         bounds = _findBounds(histos, self._ylog,
                              xmin=self._xmin, xmax=self._xmax,
                              ymin=self._ymin, ymax=self._ymax)
         zmax = None
         if isinstance(histos[0], ROOT.TH2):
             zmax = max([h.GetMaximum() for h in histos])
 
         # need to keep these in memory
         self._mainAdditional = []
         self._ratioAdditional = []
 
         if ratio:
             self._ratios = _calculateRatios(histos, self._ratioUncertainty) # need to keep these in memory too ...
             ratioHistos = [h for h in [r.getRatio() for r in self._ratios[1:]] if h is not None]
 
             if len(ratioHistos) > 0:
                 ratioBoundsY = _findBoundsY(ratioHistos, ylog=False, ymin=self._ratioYmin, ymax=self._ratioYmax, coverage=0.68, coverageRange=self._ratioCoverageXrange)
             else:
                 ratioBoundsY = (0.9, 1,1) # hardcoded default in absence of valid ratio calculations
 
             if self._ratioFit is not None:
                 for i, rh in enumerate(ratioHistos):
                     tf_line = ROOT.TF1("line%d"%i, "[0]+x*[1]")
                     tf_line.SetRange(self._ratioFit["rangemin"], self._ratioFit["rangemax"])
                     fitres = rh.Fit(tf_line, "RINSQ")
                     tf_line.SetLineColor(rh.GetMarkerColor())
                     tf_line.SetLineWidth(2)
                     self._ratioAdditional.append(tf_line)
                     box = PlotTextBox(xmin=self._ratioFit.get("boxXmin", 0.14), ymin=None, # None for automatix
                                       xmax=self._ratioFit.get("boxXmax", 0.35), ymax=self._ratioFit.get("boxYmax", 0.09),
                                       color=rh.GetMarkerColor(), font=43, size=11, lineheight=0.02)
                     box.move(dx=(box.width()+0.01)*i)
                     #box.addText("Const: %.4f" % fitres.Parameter(0))
                     #box.addText("Slope: %.4f" % fitres.Parameter(1))
                     box.addText("Const: %.4f#pm%.4f" % (fitres.Parameter(0), fitres.ParError(0)))
                     box.addText("Slope: %.4f#pm%.4f" % (fitres.Parameter(1), fitres.ParError(1)))
                     self._mainAdditional.append(box)
 
 
         # Create bounds before stats in order to have the
         # SetRangeUser() calls made before the fit
         #
         # stats is better to be called before frame, otherwise get
         # mess in the plot (that frame creation cleans up)
         if ratio:
             pad.cd(1)
         self._setStats(histos, self._statx, self._staty)
 
         # Create frame
         if isTGraph2D:
             frame = FrameTGraph2D(pad, bounds, histos, ratioOrig, ratioFactor)
         else:
             if ratio:
                 ratioBounds = (bounds[0], ratioBoundsY[0], bounds[2], ratioBoundsY[1])
                 frame = FrameRatio(pad, bounds, zmax, ratioBounds, ratioFactor, nrows, xbinlabels, self._xbinlabelsize, self._xbinlabeloption)
             else:
                 frame = Frame(pad, bounds, zmax, nrows, xbinlabels, self._xbinlabelsize, self._xbinlabeloption, ybinlabels=ybinlabels)
 
         # Set log and grid
         frame.setLogx(self._xlog)
         frame.setLogy(self._ylog)
         frame.setGridx(self._xgrid)
         frame.setGridy(self._ygrid)
 
         # Construct draw option string
         opt = "sames" # s for statbox or something?
         ds = ""
         if self._drawStyle is not None:
             ds = self._drawStyle
         if self._drawCommand is not None:
             ds = self._drawCommand
         if len(ds) > 0:
             opt += " "+ds
 
         # Set properties of frame
         frame.setTitle(histos[0].GetTitle())
         if self._xtitle == 'Default':
             frame.setXTitle( histos[0].GetXaxis().GetTitle() )
         elif self._xtitle is not None:
             frame.setXTitle(self._xtitle)
         if self._xtitlesize is not None:
             frame.setXTitleSize(self._xtitlesize)
         if self._xtitleoffset is not None:
             frame.setXTitleOffset(self._xtitleoffset)
         if self._xlabelsize is not None:
             frame.setXLabelSize(self._xlabelsize)
         if self._ytitle == 'Default':
             frame.setYTitle( histos[0].GetYaxis().GetTitle() )
         elif self._ytitle is not None:
             frame.setYTitle(self._ytitle)
         if self._ytitlesize is not None:
             frame.setYTitleSize(self._ytitlesize)
         if self._ytitleoffset is not None:
             frame.setYTitleOffset(self._ytitleoffset)
         if self._ztitle is not None:
             frame.setZTitle(self._ztitle)
         if self._ztitleoffset is not None:
             frame.setZTitleOffset(self._ztitleoffset)
         if self._adjustMarginLeft is not None:
             frame.adjustMarginLeft(self._adjustMarginLeft)
         if self._adjustMarginRight is not None:
             frame.adjustMarginRight(self._adjustMarginRight)
         elif "z" in opt:
             frame.adjustMarginLeft(0.03)
             frame.adjustMarginRight(0.08)
 
         # Draw histograms
         if ratio:
             frame._pad.cd()
 
         for i, h in enumerate(histos):
             o = opt
             if isTGraph2D and i == 0:
                 o = o.replace("sames", "")
             h.Draw(o)
 
         for addl in self._mainAdditional:
             addl.Draw("same")
 
         # Draw ratios
         if ratio and len(self._ratios) > 0:
             frame._padRatio.cd()
             firstRatio = self._ratios[0].getRatio()
             if self._ratioUncertainty and firstRatio is not None:
                 firstRatio.SetFillStyle(1001)
                 firstRatio.SetFillColor(ROOT.kGray)
                 firstRatio.SetLineColor(ROOT.kGray)
                 firstRatio.SetMarkerColor(ROOT.kGray)
                 firstRatio.SetMarkerSize(0)
                 self._ratios[0].draw("E2")
                 frame._padRatio.RedrawAxis("G") # redraw grid on top of the uncertainty of denominator
             for r in self._ratios[1:]:
                 r.draw()
 
             for addl in self._ratioAdditional:
                 addl.Draw("same")
 
         frame.redrawAxis()
         self._frame = frame # keep the frame in memory for sure
 
     def addToLegend(self, legend, legendLabels, denomUncertainty):
         """Add histograms to a legend.
 
         Arguments:
         legend       -- TLegend
         legendLabels -- List of strings for the legend labels
         """
         first = denomUncertainty
         for h, label in zip(self._histograms, legendLabels):
             if h is None:
                 first = False
                 continue
             if first:
                 self._forLegend = h.Clone()
                 self._forLegend.SetFillStyle(1001)
                 self._forLegend.SetFillColor(ROOT.kGray)
                 entry = legend.AddEntry(self._forLegend, label, "lpf")
                 first = False
             else:
                 legend.AddEntry(h, label, "LP")
 
 class PlotGroup(object):
     """Group of plots, results a TCanvas"""
     def __init__(self, name, plots, **kwargs):
         """Constructor.
 
         Arguments:
         name  -- String for name of the TCanvas, used also as the basename of the picture files
         plots -- List of Plot objects
 
         Keyword arguments:
         ncols    -- Number of columns (default 2)
         legendDx -- Float for moving TLegend in x direction (default None)
         legendDy -- Float for moving TLegend in y direction (default None)
         legendDw -- Float for changing TLegend width (default None)
         legendDh -- Float for changing TLegend height (default None)
         legend   -- Bool for disabling legend (default True for legend being enabled)
         overrideLegendLabels -- List of strings for legend labels, if given, these are used instead of the ones coming from Plotter (default None)
         onlyForPileup  -- Plots this group only for pileup samples
         """
         super(PlotGroup, self).__init__()
 
         self._name = name
         self._plots = plots
 
         def _set(attr, default):
             setattr(self, "_"+attr, kwargs.get(attr, default))
 
         _set("ncols", 2)
 
         _set("legendDx", None)
         _set("legendDy", None)
         _set("legendDw", None)
         _set("legendDh", None)
         _set("legend", True)
 
         _set("overrideLegendLabels", None)
 
         _set("onlyForPileup", False)
 
         self._ratioFactor = 1.25
 
     def setProperties(self, **kwargs):
         for name, value in kwargs.items():
             if not hasattr(self, "_"+name):
                 raise Exception("No attribute '%s'" % name)
             setattr(self, "_"+name, value)
 
     def getName(self):
         return self._name
 
     def getPlots(self):
         return self._plots
 
     def remove(self, name):
         for i, plot in enumerate(self._plots):
             if plot.getName() == name:
                 del self._plots[i]
                 return
         raise Exception("Did not find Plot '%s' from PlotGroup '%s'" % (name, self._name))
 
     def clear(self):
         self._plots = []
 
     def append(self, plot):
         self._plots.append(plot)
 
     def getPlot(self, name):
         for plot in self._plots:
             if plot.getName() == name:
                 return plot
         raise Exception("No Plot named '%s'" % name)
 
     def onlyForPileup(self):
         """Return True if the PlotGroup is intended only for pileup samples"""
         return self._onlyForPileup
 
     def create(self, tdirectoryNEvents, requireAllHistograms=False):
         """Create histograms from a list of TDirectories.
 
         Arguments:
         tdirectoryNEvents    -- List of (TDirectory, nevents) pairs
         requireAllHistograms -- If True, a plot is produced if histograms from all files are present (default: False)
         """
         for plot in self._plots:
             plot.create(tdirectoryNEvents, requireAllHistograms)
 
     def draw(self, legendLabels, prefix=None, separate=False, saveFormat=".pdf", ratio=True, directory=""):
         """Draw the histograms using values for a given algorithm.
 
         Arguments:
         legendLabels  -- List of strings for legend labels (corresponding to the tdirectories in create())
         prefix        -- Optional string for file name prefix (default None)
         separate      -- Save the plots of a group to separate files instead of a file per group (default False)
         saveFormat   -- String specifying the plot format (default '.pdf')
         ratio        -- Add ratio to the plot (default True)
         directory     -- Directory where to save the file (default "")
         """
 
         if self._overrideLegendLabels is not None:
             legendLabels = self._overrideLegendLabels
 
         # Do not draw the group if it would be empty
         onlyEmptyPlots = True
         for plot in self._plots:
             if not plot.isEmpty():
                 onlyEmptyPlots = False
                 break
         if onlyEmptyPlots:
             return []
 
         if separate:
             return self._drawSeparate(legendLabels, prefix, saveFormat, ratio, directory)
 
         cwidth = 500*self._ncols
         nrows = int((len(self._plots)+self._ncols-1)/self._ncols) # this should work also for odd n
         cheight = 500 * nrows
 
         if ratio:
             cheight = int(cheight*self._ratioFactor)
 
         canvas = _createCanvas(self._name, cwidth, cheight)
 
         canvas.Divide(self._ncols, nrows)
         if ratio:
             for i, plot in enumerate(self._plots):
                 pad = canvas.cd(i+1)
                 self._modifyPadForRatio(pad)
 
         # Draw plots to canvas
         for i, plot in enumerate(self._plots):
             pad = canvas.cd(i+1)
             if not plot.isEmpty():
                 plot.draw(pad, ratio, self._ratioFactor, nrows)
 
         if plot._legend:
           # Setup legend
           canvas.cd()
           if len(self._plots) <= 4:
               lx1 = 0.2
               lx2 = 0.9
               ly1 = 0.48
               ly2 = 0.53
           else:
               lx1 = 0.1
               lx2 = 0.9
               ly1 = 0.64
               ly2 = 0.67
           if self._legendDx is not None:
               lx1 += self._legendDx
               lx2 += self._legendDx
           if self._legendDy is not None:
               ly1 += self._legendDy
               ly2 += self._legendDy
           if self._legendDw is not None:
               lx2 += self._legendDw
           if self._legendDh is not None:
               ly1 -= self._legendDh
           plot = max(self._plots, key=lambda p: p.getNumberOfHistograms())
           denomUnc = sum([p.drawRatioUncertainty() for p in self._plots]) > 0
           legend = self._createLegend(plot, legendLabels, lx1, ly1, lx2, ly2,
                                       denomUncertainty=(ratio and denomUnc))
 
         return self._save(canvas, saveFormat, prefix=prefix, directory=directory)
 
     def _drawSeparate(self, legendLabels, prefix, saveFormat, ratio, directory):
         """Internal method to do the drawing to separate files per Plot instead of a file per PlotGroup"""
         width = 500
         height = 500
 
         lx1def = 0.6
         lx2def = 0.95
         ly1def = 0.85
         ly2def = 0.95
 
         ret = []
 
         for plot in self._plots:
             if plot.isEmpty():
                 continue
 
             canvas = _createCanvas(self._name+"Single", width, height)
             canvasRatio = _createCanvas(self._name+"SingleRatio", width, int(height*self._ratioFactor))
 
             # from TDRStyle
             for c in [canvas, canvasRatio]:
                 c.SetTopMargin(0.05)
                 c.SetBottomMargin(0.13)
                 c.SetLeftMargin(0.16)
                 c.SetRightMargin(0.05)
 
             ratioForThisPlot = plot.isRatio(ratio)
             c = canvas
             if ratioForThisPlot:
                 c = canvasRatio
                 c.cd()
                 self._modifyPadForRatio(c)
 
             # Draw plot to canvas
             c.cd()
             plot.draw(c, ratioForThisPlot, self._ratioFactor, 1)
 
             if plot._legend:
                 # Setup legend
                 lx1 = lx1def
                 lx2 = lx2def
                 ly1 = ly1def
                 ly2 = ly2def
 
                 if plot._legendDx is not None:
                     lx1 += plot._legendDx
                     lx2 += plot._legendDx
                 if plot._legendDy is not None:
                     ly1 += plot._legendDy
                     ly2 += plot._legendDy
                 if plot._legendDw is not None:
                     lx2 += plot._legendDw
                 if plot._legendDh is not None:
                     ly1 -= plot._legendDh
 
                 c.cd()
                 legend = self._createLegend(plot, legendLabels, lx1, ly1, lx2, ly2, textSize=0.03,
                                             denomUncertainty=(ratioForThisPlot and plot.drawRatioUncertainty))
 
             ret.extend(self._save(c, saveFormat, prefix=prefix, postfix="/"+plot.getName(), single=True, directory=directory))
         return ret
 
     def _modifyPadForRatio(self, pad):
         """Internal method to set divide a pad to two for ratio plots"""
         _modifyPadForRatio(pad, self._ratioFactor)
 
     def _createLegend(self, plot, legendLabels, lx1, ly1, lx2, ly2, textSize=0.016, denomUncertainty=True):
         if not self._legend:
             return None
 
         l = ROOT.TLegend(lx1, ly1, lx2, ly2)
         l.SetTextSize(textSize)
         l.SetLineColor(1)
         l.SetLineWidth(1)
         l.SetLineStyle(1)
         l.SetFillColor(0)
         l.SetMargin(0.07)
 
         plot.addToLegend(l, legendLabels, denomUncertainty)
         l.Draw()
         return l
 
     def _save(self, canvas, saveFormat, prefix=None, postfix=None, single=False, directory=""):
         # Save the canvas to file and clear
         name = self._name
         if not os.path.exists(directory+'/'+name):
             os.makedirs(directory+'/'+name, exist_ok=True)
         if prefix is not None:
             name = prefix+name
         if postfix is not None:
             name = name+postfix
         name = os.path.join(directory, name)
 
         if not verbose: # silence saved file printout
             backup = ROOT.gErrorIgnoreLevel
             ROOT.gErrorIgnoreLevel = ROOT.kWarning
         canvas.SaveAs(name+saveFormat)
         if not verbose:
             ROOT.gErrorIgnoreLevel = backup
 
         if single:
             canvas.Clear()
             canvas.SetLogx(False)
             canvas.SetLogy(False)
         else:
             canvas.Clear("D") # keep subpads
 
         return [name+saveFormat]
 
 class PlotOnSideGroup(PlotGroup):
     """Resembles DQM GUI's "On side" layout.
 
     Like PlotGroup, but has only a description of a single plot. The
     plot is drawn separately for each file. Useful for 2D histograms."""
 
     def __init__(self, name, plot, ncols=2, onlyForPileup=False):
         super(PlotOnSideGroup, self).__init__(name, [], ncols=ncols, legend=False, onlyForPileup=onlyForPileup)
         self._plot = plot
         self._plot.setProperties(ratio=False)
 
     def append(self, *args, **kwargs):
         raise Exception("PlotOnSideGroup.append() is not implemented")
 
     def create(self, tdirectoryNEvents, requireAllHistograms=False):
         self._plots = []
         for i, element in enumerate(tdirectoryNEvents):
             pl = self._plot.clone()
             pl.create([element], requireAllHistograms)
             pl.setName(pl.getName()+"_"+str(i))
             self._plots.append(pl)
 
     def draw(self, *args, **kwargs):
         kargs = copy.copy(kwargs)
         kargs["ratio"] = False
         return super(PlotOnSideGroup, self).draw(*args, **kargs)
 
 class PlotFolder:
 
     """Represents a collection of PlotGroups, produced from a single folder in a DQM file"""
     def __init__(self, *plotGroups, **kwargs):
         """Constructor.
 
         Arguments:
         plotGroups     -- List of PlotGroup objects
 
         Keyword arguments
         loopSubFolders -- Should the subfolders be looped over? (default: True)
         onlyForPileup  -- Plots this folder only for pileup samples
         onlyForElectron -- Plots this folder only for electron samples
         onlyForConversion -- Plots this folder only for conversion samples
         onlyForBHadron -- Plots this folder only for B-hadron samples
         purpose        -- html.PlotPurpose member class for the purpose of the folder, used for grouping of the plots to the HTML pages
         page           -- Optional string for the page in HTML generatin
         section        -- Optional string for the section within a page in HTML generation
         numberOfEventsHistogram -- Optional path to histogram filled once per event. Needed if there are any plots normalized by number of events. Path is relative to "possibleDqmFolders".
         """
         self._plotGroups = list(plotGroups)
         self._loopSubFolders = kwargs.pop("loopSubFolders", True)
         self._onlyForPileup = kwargs.pop("onlyForPileup", False)
         self._onlyForElectron = kwargs.pop("onlyForElectron", False)
         self._onlyForConversion = kwargs.pop("onlyForConversion", False)
         self._onlyForBHadron = kwargs.pop("onlyForBHadron", False)
         self._purpose = kwargs.pop("purpose", None)
         self._page = kwargs.pop("page", None)
         self._section = kwargs.pop("section", None)
         self._numberOfEventsHistogram = kwargs.pop("numberOfEventsHistogram", None)
         if len(kwargs) > 0:
             raise Exception("Got unexpected keyword arguments: "+ ",".join(kwargs.keys()))
 
     def loopSubFolders(self):
         """Return True if the PlotGroups of this folder should be applied to the all subfolders"""
         return self._loopSubFolders
 
     def onlyForPileup(self):
         """Return True if the folder is intended only for pileup samples"""
         return self._onlyForPileup
 
     def onlyForElectron(self):
         return self._onlyForElectron
 
     def onlyForConversion(self):
         return self._onlyForConversion
 
     def onlyForBHadron(self):
         return self._onlyForBHadron
 
     def getPurpose(self):
         return self._purpose
 
     def getPage(self):
         return self._page
 
     def getSection(self):
         return self._section
 
     def getNumberOfEventsHistogram(self):
         return self._numberOfEventsHistogram
 
     def append(self, plotGroup):
         self._plotGroups.append(plotGroup)
 
     def set(self, plotGroups):
         self._plotGroups = plotGroups
 
     def getPlotGroups(self):
         return self._plotGroups
 
     def getPlotGroup(self, name):
         for pg in self._plotGroups:
             if pg.getName() == name:
                 return pg
         raise Exception("No PlotGroup named '%s'" % name)
 
     def create(self, dirsNEvents, labels, isPileupSample=True, requireAllHistograms=False):
         """Create histograms from a list of TFiles.
 
         Arguments:
         dirsNEvents   -- List of (TDirectory, nevents) pairs
         labels -- List of strings for legend labels corresponding the files
         isPileupSample -- Is sample pileup (some PlotGroups may limit themselves to pileup)
         requireAllHistograms -- If True, a plot is produced if histograms from all files are present (default: False)
         """
 
         if len(dirsNEvents) != len(labels):
             raise Exception("len(dirsNEvents) should be len(labels), now they are %d and %d" % (len(dirsNEvents), len(labels)))
 
         self._labels = labels
 
         for pg in self._plotGroups:
             if pg.onlyForPileup() and not isPileupSample:
                 continue
             pg.create(dirsNEvents, requireAllHistograms)
 
     def draw(self, prefix=None, separate=False, saveFormat=".pdf", ratio=True, directory=""):
         """Draw and save all plots using settings of a given algorithm.
 
         Arguments:
         prefix   -- Optional string for file name prefix (default None)
         separate -- Save the plots of a group to separate files instead of a file per group (default False)
         saveFormat   -- String specifying the plot format (default '.pdf')
         ratio    -- Add ratio to the plot (default True)
         directory -- Directory where to save the file (default "")
         """
         ret = []
 
         for pg in self._plotGroups:
             ret.extend(pg.draw(self._labels, prefix=prefix, separate=separate, saveFormat=saveFormat, ratio=ratio, directory=directory))
         return ret
 
 
     # These are to be overridden by derived classes for customisation
     def translateSubFolder(self, dqmSubFolderName):
         """Method called to (possibly) translate a subfolder name to more 'readable' form
 
         The implementation in this (base) class just returns the
         argument. The idea is that a deriving class might want to do
         something more complex (like trackingPlots.TrackingPlotFolder
         does)
         """
         return dqmSubFolderName
 
     def iterSelectionName(self, plotFolderName, translatedDqmSubFolder):
         """Iterate over possible selections name (used in output directory name and legend) from the name of PlotterFolder, and a return value of translateSubFolder"""
         ret = ""
         if plotFolderName != "":
             ret += "_"+plotFolderName
         if translatedDqmSubFolder is not None:
             ret += "_"+translatedDqmSubFolder
         yield ret
 
     def limitSubFolder(self, limitOnlyTo, translatedDqmSubFolder):
         """Return True if this subfolder should be processed
 
         Arguments:
         limitOnlyTo            -- List/set/similar containing the translatedDqmSubFolder
         translatedDqmSubFolder -- Return value of translateSubFolder
         """
         return translatedDqmSubFolder in limitOnlyTo
 
 class DQMSubFolder:
     """Class to hold the original name and a 'translated' name of a subfolder in the DQM ROOT file"""
     def __init__(self, subfolder, translated):
         self.subfolder = subfolder
         self.translated = translated
 
     def equalTo(self, other):
         """Equality is defined by the 'translated' name"""
         return self.translated == other.translated
 
 class PlotterFolder:
     """Plotter for one DQM folder.
 
     This class is supposed to be instantiated by the Plotter class (or
     PlotterItem, to be more specific), and not used directly by the
     user.
     """
     def __init__(self, name, possibleDqmFolders, dqmSubFolders, plotFolder, fallbackNames, fallbackDqmSubFolders, tableCreators):
         """
         Constructor
 
         Arguments:
         name               -- Name of the folder (is used in the output directory naming)
         possibleDqmFolders -- List of strings for possible directories of histograms in TFiles
         dqmSubFolders      -- List of lists of strings for list of subfolders per input file, or None if no subfolders
         plotFolder         -- PlotFolder object
         fallbackNames      -- List of names for backward compatibility (can be empty). These are used only by validation.Validation (class responsible of the release validation workflow) in case the reference file pointed by 'name' does not exist.
         fallbackDqmSubFolders -- List of dicts of (string->string) for mapping the subfolder names found in the first file to another names. Use case is comparing files that have different iteration naming convention.
         tableCreators      -- List of PlotterTableItem objects for tables to be created from this folder
         """
         self._name = name
         self._possibleDqmFolders = possibleDqmFolders
         self._plotFolder = plotFolder
         #self._dqmSubFolders = [map(lambda sf: DQMSubFolder(sf, self._plotFolder.translateSubFolder(sf)), lst) for lst in dqmSubFolders]
         if dqmSubFolders is None:
             self._dqmSubFolders = None
         else:
             # Match the subfolders between files in case the lists differ
             # equality is by the 'translated' name
             subfolders = {}
             for sf_list in dqmSubFolders:
                 for sf in sf_list:
                     sf_translated = self._plotFolder.translateSubFolder(sf)
                     if sf_translated is not None and not sf_translated in subfolders:
                         subfolders[sf_translated] = DQMSubFolder(sf, sf_translated)
 
             self._dqmSubFolders = sorted(subfolders.values(), key=lambda sf: sf.subfolder)
 
         self._fallbackNames = fallbackNames
         self._fallbackDqmSubFolders = fallbackDqmSubFolders
         self._tableCreators = tableCreators
 
     def getName(self):
         return self._name
 
     def getPurpose(self):
         return self._plotFolder.getPurpose()
 
     def getPage(self):
         return self._plotFolder.getPage()
 
     def getSection(self):
         return self._plotFolder.getSection()
 
     def onlyForPileup(self):
         return self._plotFolder.onlyForPileup()
 
     def onlyForElectron(self):
         return self._plotFolder.onlyForElectron()
 
     def onlyForConversion(self):
         return self._plotFolder.onlyForConversion()
 
     def onlyForBHadron(self):
         return self._plotFolder.onlyForBHadron()
 
     def getPossibleDQMFolders(self):
         return self._possibleDqmFolders
 
     def getDQMSubFolders(self, limitOnlyTo=None):
         """Get list of subfolders, possibly limiting to some of them.
 
         Keyword arguments:
         limitOnlyTo -- Object depending on the PlotFolder type for limiting the set of subfolders to be processed
         """
 
         if self._dqmSubFolders is None:
             return [None]
 
         if limitOnlyTo is None:
             return self._dqmSubFolders
 
         return [s for s in self._dqmSubFolders if self._plotFolder.limitSubFolder(limitOnlyTo, s.translated)]
 
     def getTableCreators(self):
         return self._tableCreators
 
     def getSelectionNameIterator(self, dqmSubFolder):
         """Get a generator for the 'selection name', looping over the name and fallbackNames"""
         for name in [self._name]+self._fallbackNames:
             for selname in self._plotFolder.iterSelectionName(name, dqmSubFolder.translated if dqmSubFolder is not None else None):
                 yield selname
 
     def getSelectionName(self, dqmSubFolder):
         return next(self.getSelectionNameIterator(dqmSubFolder))
 
     def create(self, files, labels, dqmSubFolder, isPileupSample=True, requireAllHistograms=False):
         """Create histograms from a list of TFiles.
         Arguments:
         files  -- List of TFiles
         labels -- List of strings for legend labels corresponding the files
         dqmSubFolder -- DQMSubFolder object for a subfolder (or None for no subfolder)
         isPileupSample -- Is sample pileup (some PlotGroups may limit themselves to pileup)
         requireAllHistograms -- If True, a plot is produced if histograms from all files are present (default: False)
         """
 
         subfolder = dqmSubFolder.subfolder if dqmSubFolder is not None else None
         neventsHisto = self._plotFolder.getNumberOfEventsHistogram()
         dirsNEvents = []
 
         for tfile in files:
             ret = _getDirectoryDetailed(tfile, self._possibleDqmFolders, subfolder)
             # If file and any of possibleDqmFolders exist but subfolder does not, try the fallbacks
             if ret is GetDirectoryCode.SubDirNotExist:
                 for fallbackFunc in self._fallbackDqmSubFolders:
                     fallback = fallbackFunc(subfolder)
                     if fallback is not None:
                         ret = _getDirectoryDetailed(tfile, self._possibleDqmFolders, fallback)
                         if ret is not GetDirectoryCode.SubDirNotExist:
                             break
             d = GetDirectoryCode.codesToNone(ret)
             nev = None
             if neventsHisto is not None and tfile is not None:
                 hnev = _getObject(tfile, neventsHisto)
                 if hnev is not None:
                     nev = hnev.GetEntries()
             dirsNEvents.append( (d, nev) )
 
         self._plotFolder.create(dirsNEvents, labels, isPileupSample, requireAllHistograms)
 
     def draw(self, *args, **kwargs):
         """Draw and save all plots using settings of a given algorithm."""
         return self._plotFolder.draw(*args, **kwargs)
 
 
 class PlotterInstance:
     """Instance of plotter that knows the directory content, holds many folders."""
     def __init__(self, folders):
         self._plotterFolders = [f for f in folders if f is not None]
 
     def iterFolders(self, limitSubFoldersOnlyTo=None):
         for plotterFolder in self._plotterFolders:
             limitOnlyTo = None
             if limitSubFoldersOnlyTo is not None:
                 limitOnlyTo = limitSubFoldersOnlyTo.get(plotterFolder.getName(), None)
 
             for dqmSubFolder in plotterFolder.getDQMSubFolders(limitOnlyTo=limitOnlyTo):
                 yield plotterFolder, dqmSubFolder
 
 # Helper for Plotter
 class PlotterItem:
     def __init__(self, name, possibleDirs, plotFolder, fallbackNames=[], fallbackDqmSubFolders=[]):
         """ Constructor
 
         Arguments:
         name          -- Name of the folder (is used in the output directory naming)
         possibleDirs  -- List of strings for possible directories of histograms in TFiles
         plotFolder    -- PlotFolder object
 
         Keyword arguments
         fallbackNames -- Optional list of names for backward compatibility. These are used only by validation.Validation (class responsible of the release validation workflow) in case the reference file pointed by 'name' does not exist.
         fallbackDqmSubFolders -- Optional list of functions for (string->string) mapping the subfolder names found in the first file to another names (function should return None for no mapping). Use case is comparing files that have different iteration naming convention.
         """
         self._name = name
         self._possibleDirs = possibleDirs
         self._plotFolder = plotFolder
         self._fallbackNames = fallbackNames
         self._fallbackDqmSubFolders = fallbackDqmSubFolders
         self._tableCreators = []
 
     def getName(self):
         return self._name
 
     def getPlotFolder(self):
         return self._plotFolder
 
     def appendTableCreator(self, tc):
         self._tableCreators.append(tc)
 
     def readDirs(self, files):
         """Read available subfolders from the files
 
         Arguments:
         files -- List of strings for paths to files, or list of TFiles
 
         For each file, loop over 'possibleDirs', and read the
         subfolders of first one that exists.
 
         Returns a PlotterFolder if at least one file for which one of
         'possibleDirs' exists. Otherwise, return None to signal that
         there is nothing available for this PlotFolder.
         """
         subFolders = None
         if self._plotFolder.loopSubFolders():
             subFolders = []
         possibleDirFound = False
         for fname in files:
             if fname is None:
                 continue
 
             isOpenFile = isinstance(fname, ROOT.TFile)
             if isOpenFile:
                 tfile = fname
             else:
                 tfile = ROOT.TFile.Open(fname)
             for pd in self._possibleDirs:
                 d = tfile.Get(pd)
                 if d:
                     possibleDirFound = True
                     if subFolders is not None:
                         subf = []
                         for key in d.GetListOfKeys():
                             if isinstance(key.ReadObj(), ROOT.TDirectory):
                                 subf.append(key.GetName())
                         subFolders.append(subf)
                     break
                 else:
                     print("Did not find directory '%s' from file %s" % (pd, tfile.GetName()))
 
             if not isOpenFile:
                 tfile.Close()
 
         if not possibleDirFound:
             return None
 
         return PlotterFolder(self._name, self._possibleDirs, subFolders, self._plotFolder, self._fallbackNames, self._fallbackDqmSubFolders, self._tableCreators)
 
 class PlotterTableItem:
     def __init__(self, possibleDirs, tableCreator):
         self._possibleDirs = possibleDirs
         self._tableCreator = tableCreator
 
     def create(self, openFiles, legendLabels, dqmSubFolder):
         if isinstance(dqmSubFolder, list):
             if len(dqmSubFolder) != len(openFiles):
                 raise Exception("When dqmSubFolder is a list, len(dqmSubFolder) should be len(openFiles), now they are %d and %d" % (len(dqmSubFolder), len(openFiles)))
         else:
             dqmSubFolder = [dqmSubFolder]*len(openFiles)
         dqmSubFolder = [sf.subfolder if sf is not None else None for sf in dqmSubFolder]
 
         tbl = []
         for f, sf in zip(openFiles, dqmSubFolder):
             data = None
             tdir = _getDirectory(f, self._possibleDirs, sf)
             if tdir is not None:
                 data = self._tableCreator.create(tdir)
             tbl.append(data)
 
         # Check if we have any content
         allNones = True
         colLen = 0
         for col in tbl:
             if col is not None:
                 allNones = False
                 colLen = len(col)
                 break
         if allNones:
             return None
 
         # Replace all None columns with lists of column length
         for i in range(len(tbl)):
             if tbl[i] is None:
                 tbl[i] = [None]*colLen
 
         return html.Table(columnHeaders=legendLabels, rowHeaders=self._tableCreator.headers(), table=tbl,
                           purpose=self._tableCreator.getPurpose(), page=self._tableCreator.getPage(), section=self._tableCreator.getSection(dqmSubFolder[0]))
 
 class Plotter:
     """Contains PlotFolders, i.e. the information what plots to do, and creates a helper object to actually produce the plots."""
     def __init__(self):
         self._plots = []
         _setStyle()
         ROOT.TH1.AddDirectory(False)
 
     def append(self, *args, **kwargs):
         """Append a plot folder to the plotter.
 
         All arguments are forwarded to the constructor of PlotterItem.
         """
         self._plots.append(PlotterItem(*args, **kwargs))
 
     def appendTable(self, attachToFolder, *args, **kwargs):
         for plotterItem in self._plots:
             if plotterItem.getName() == attachToFolder:
                 plotterItem.appendTableCreator(PlotterTableItem(*args, **kwargs))
                 return
         raise Exception("Did not find plot folder '%s' when trying to attach a table creator to it" % attachToFolder)
 
     def clear(self):
         """Remove all plot folders and tables"""
         self._plots = []
 
     def getPlotFolderNames(self):
         return [item.getName() for item in self._plots]
 
     def getPlotFolders(self):
         return [item.getPlotFolder() for item in self._plots]
 
     def getPlotFolder(self, name):
         for item in self._plots:
             if item.getName() == name:
                 return item.getPlotFolder()
         raise Exception("No PlotFolder named '%s'" % name)
 
     def readDirs(self, *files):
         """Returns PlotterInstance object, which knows how exactly to produce the plots for these files"""
         return PlotterInstance([plotterItem.readDirs(files) for plotterItem in self._plots])