Public Member Functions
def	__init__ (self, name, **kwargs)

def	addToLegend (self, legend, legendLabels, denomUncertainty)

def	clone (self, **kwargs)

def	create (self, tdirNEvents, requireAllHistograms=False)

def	draw (self, pad, ratio, ratioFactor, nrows)

def	drawRatioUncertainty (self)

def	getName (self)

def	getNumberOfHistograms (self)

def	isEmpty (self)

def	isRatio (self, ratio)

def	isTGraph2D (self)

def	setProperties (self, **kwargs)

Private Member Functions
def	_createOne (self, name, index, tdir, nevents)

def	_normalize (self)

def	_setStats (self, histos, startingX, startingY)

Private Attributes
	_forLegend

	_frame

	_histograms

	_mainAdditional

	_name

	_ratioAdditional

	_ratios

	_tmp_histos

	_xtitle

	_ytitle

Detailed Description

Represents one plot, comparing one or more histograms.

Definition at line 1694 of file plotting.py.

Constructor & Destructor Documentation

◆ init()

def plotting.Plot.__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)

Definition at line 1696 of file plotting.py.

     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 = []
  

Member Function Documentation

◆ _createOne()

def plotting.Plot._createOne	(	self,
		name,
		index,
		tdir,
		nevents
	)

private

Create one histogram from a TDirectory.

Definition at line 1874 of file plotting.py.

     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
  

References plotting._getOrCreateObject().

Referenced by plotting.Plot.create().

◆ _normalize()

def plotting.Plot._normalize ( self )

private

Normalise histograms to unit area

Definition at line 1979 of file plotting.py.

     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)
  

References RunHistogramManager._histograms, and plotting.Plot._histograms.

Referenced by plotting.Plot.draw().

◆ _setStats()

def plotting.Plot._setStats	(	self,
		histos,
		startingX,
		startingY
	)

private

Set stats box.

Definition at line 1938 of file plotting.py.

     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.SetX1NDC(startingX)
             st.SetX2NDC(startingX+0.3)
             st.SetY1NDC(startingY+dy)
             st.SetY2NDC(startingY+dy+0.15)
             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 -= 0.19
  

References DTSC._stat, and DTTrigGeom._stat.

◆ addToLegend()

def plotting.Plot.addToLegend	(	self,
		legend,
		legendLabels,
		denomUncertainty
	)

Add histograms to a legend.

Arguments:
legend       -- TLegend
legendLabels -- List of strings for the legend labels

Definition at line 2225 of file plotting.py.

     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")
  

References RunHistogramManager._histograms, plotting.Plot._histograms, and ComparisonHelper.zip().

◆ clone()

def plotting.Plot.clone	(		self,
		**	kwargs
	)

Definition at line 1836 of file plotting.py.

     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
  

References GenericMVAComputerCache.isEmpty(), TkPhase2OTMeasurementDet.isEmpty(), TkPixelMeasurementDet.isEmpty(), TkStackMeasurementDet.isEmpty(), reco::PFDisplacedVertexSeed.isEmpty(), MultipleKinematicConstraint.isEmpty(), KinematicTree.isEmpty(), L1MuDTTrackAssembler.isEmpty(), L1MuGMTInputEvent.isEmpty(), L1MuBMTrackAssembler.isEmpty(), cond::TagInfo_t.isEmpty(), BPHKinematicFit.isEmpty(), cond::persistency::IOVArray.isEmpty(), TkStripMeasurementDet.isEmpty(), BXVector< T >.isEmpty(), HistoData.isEmpty, FWGeometry.isEmpty(), DDXMLElement.isEmpty(), html.Page.isEmpty(), plotting.PlotEmpty.isEmpty(), and plotting.Plot.isEmpty().

◆ create()

def plotting.Plot.create	(	self,
		tdirNEvents,
		requireAllHistograms = `False`
	)

Create histograms from list of TDirectories

Definition at line 1888 of file plotting.py.

     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 = map(_modifyHisto, self._histograms, profileX)
         else:
             self._histograms = map(lambda h: _modifyHisto(h, self._profileX), self._histograms)
         if requireAllHistograms and None in self._histograms:
             self._histograms = [None]*len(self._histograms)
  

References plotting.Plot._createOne(), RunHistogramManager._histograms, plotting.Plot._histograms, FP420HitsObject._name, TrackerHitsObject._name, PGeometricDet::Item._name, TrackingRecHitAlgorithm._name, Logger._name, hcaldqm::DQModule._name, citk::IsolationConeDefinitionBase._name, DrellYanValidation._name, WValidation._name, hcaldqm::flag::Flag._name, hcaldqm::quantity::Quantity._name, HistoParams< T >._name, CutApplicatorBase._name, HistoParams< TH2F >._name, HistoParams< TProfile2D >._name, SequenceTypes.SequencePlaceholder._name, plotting.Subtract._name, plotting.Transform._name, plotting.FakeDuplicate._name, plotting.CutEfficiency._name, plotting.AggregateBins._name, plotting.AggregateHistos._name, plotting.ROC._name, SequenceTypes.TaskPlaceholder._name, plotting.Plot._name, plotting.AggregateBins._scale, HistoParams< T >._title, HistoParams< TH2F >._title, SiStripHitEffFromCalibTree._title, HistoParams< TProfile2D >._title, html.PageSet._title, html.HtmlReport._title, plotting.Subtract._title, plotting.Transform._title, plotting.FakeDuplicate._title, plotting.CutEfficiency._title, genParticles_cff.map, and FastTimerService_cff.range.

◆ draw()

def plotting.Plot.draw	(	self,
		pad,
		ratio,
		ratioFactor,
		nrows
	)

Draw the histograms using values for a given algorithm.

Definition at line 1992 of file plotting.py.

     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(1)
             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(histos) > 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
  

References RunHistogramManager._histograms, plotting.Plot._histograms, plotting._mergeBinLabelsX(), plotting._mergeBinLabelsY(), plotting.Plot._normalize(), plotting._th1IncludeOnlyBins(), HistoData.getName(), trklet::MemoryBase.getName(), emtf::Node.getName(), EcalLogicID.getName(), PCaloHit.getName(), trklet::ProcessBase.getName(), CocoaMaterialElementary.getName(), ecaldqm::DBReaderWorker.getName(), ParticleFlux.getName(), L1TUtmScale.getName(), ecaldqm::DBWriterWorker.getName(), hcaldqm::mapper::Mapper.getName(), FittedEntry.getName(), TkOfflineVariables.getName(), FieldHandlerBase< TOutput >.getName(), L1TUtmCondition.getName(), IdealResult.getName(), hcaldqm::mapper::HashMapper.getName(), L1TUtmAlgorithm.getName(), PassiveHit.getName(), jsoncollector::JsonMonitorable.getName(), TrackingRecHitAlgorithm.getName(), AnyMVAEstimatorRun2Base.getName(), QCriterion.getName(), CSGAction.getName(), MVAVariableManager< ParticleType >.getName(), DTTPGLutFile.getName(), AlignmentAlgorithm.getName(), L1TriggerLutFile.getName(), fastsim::InteractionModel.getName(), L1MuGMTReg.getName(), GenericMVAComputer::TaggingVariableIterator< Iter_t >::Value.getName(), pos::PixelPortcardMap.getName(), L1TUtmCut.getName(), GEMStation.getName(), PhysicsTools::Variable::Value.getName(), L1TUtmObject.getName(), L1TUtmTriggerMenu.getName(), RPCAMCLink.getName(), RPCDCCLink.getName(), ecaldqm::DQWorker.getName(), edm::ELseverityLevel.getName(), PhysicsTools::MVAModuleHelper< Record, Object, Filler >::Value.getName(), L1MuGMTRegMMConfig.getName(), JanAlignmentAlgorithm.getName(), cscdqm::HistoDef.getName(), FourVectorHLT::PathInfo.getName(), jsoncollector::DataPoint.getName(), RPCLBLink.getName(), PhysicsTools::Variable.getName(), dqm::impl::MonitorElement.getName(), L1MuGMTRegSortRankOffset.getName(), L1MuGMTRegCDLConfig.getName(), cscdqm::CSCHistoDef.getName(), plotting.PlotEmpty.getName(), plotting.Plot.getName(), plotting.Plot.isTGraph2D(), and print().

◆ drawRatioUncertainty()

def plotting.Plot.drawRatioUncertainty ( self )

Return true if the ratio uncertainty should be drawn

Definition at line 1870 of file plotting.py.

     def drawRatioUncertainty(self):
         """Return true if the ratio uncertainty should be drawn"""
         return self._ratioUncertainty
  

◆ getName()

def plotting.Plot.getName ( self )

Definition at line 1862 of file plotting.py.

     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)
  

References FP420HitsObject._name, TrackerHitsObject._name, PGeometricDet::Item._name, TrackingRecHitAlgorithm._name, Logger._name, hcaldqm::DQModule._name, citk::IsolationConeDefinitionBase._name, DrellYanValidation._name, WValidation._name, hcaldqm::flag::Flag._name, hcaldqm::quantity::Quantity._name, HistoParams< T >._name, CutApplicatorBase._name, HistoParams< TH2F >._name, HistoParams< TProfile2D >._name, SequenceTypes.SequencePlaceholder._name, plotting.Subtract._name, plotting.Transform._name, plotting.FakeDuplicate._name, plotting.CutEfficiency._name, plotting.AggregateBins._name, plotting.AggregateHistos._name, plotting.ROC._name, SequenceTypes.TaskPlaceholder._name, plotting.Plot._name, and str.

Referenced by plotting.Plot.draw().

◆ getNumberOfHistograms()

def plotting.Plot.getNumberOfHistograms ( self )

Return number of existing histograms.

Definition at line 1843 of file plotting.py.

     def getNumberOfHistograms(self):
         """Return number of existing histograms."""
         return len([h for h in self._histograms if h is not None])
  

References RunHistogramManager._histograms, and plotting.Plot._histograms.

Referenced by plotting.Plot.isEmpty().

◆ isEmpty()

def plotting.Plot.isEmpty ( self )

Return true if there are no histograms created for the plot

Definition at line 1847 of file plotting.py.

     def isEmpty(self):
         """Return true if there are no histograms created for the plot"""
         return self.getNumberOfHistograms() == 0
  

References plotting.PlotEmpty.getNumberOfHistograms(), and plotting.Plot.getNumberOfHistograms().

Referenced by plotting.Plot.clone().

◆ isRatio()

def plotting.Plot.isRatio	(	self,
		ratio
	)

Definition at line 1857 of file plotting.py.

     def isRatio(self, ratio):
         if self._ratio is None:
             return ratio
         return ratio and self._ratio
  

◆ isTGraph2D()

def plotting.Plot.isTGraph2D ( self )

Definition at line 1851 of file plotting.py.

     def isTGraph2D(self):
         for h in self._histograms:
             if isinstance(h, ROOT.TGraph2D):
                 return True
         return False
  

References RunHistogramManager._histograms, and plotting.Plot._histograms.

Referenced by plotting.Plot.draw().

◆ setProperties()

def plotting.Plot.setProperties	(		self,
		**	kwargs
	)

Definition at line 1830 of file plotting.py.

     def setProperties(self, **kwargs):
         for name, value in six.iteritems(kwargs):
             if not hasattr(self, "_"+name):
                 raise Exception("No attribute '%s'" % name)
             setattr(self, "_"+name, value)
  

Member Data Documentation

◆ _forLegend

plotting.Plot._forLegend

private

Definition at line 2238 of file plotting.py.

◆ _frame

plotting.Plot._frame

private

Definition at line 2223 of file plotting.py.

◆ _histograms

plotting.Plot._histograms

private

Definition at line 1828 of file plotting.py.

Referenced by plotting.Plot._normalize(), plotting.Plot.addToLegend(), plotting.Plot.create(), plotting.Plot.draw(), plotting.Plot.getNumberOfHistograms(), and plotting.Plot.isTGraph2D().

◆ _mainAdditional

plotting.Plot._mainAdditional

private

Definition at line 2093 of file plotting.py.

◆ _name

plotting.Plot._name

private

Definition at line 1757 of file plotting.py.

Referenced by trackingPlots.TimePerEventPlot.__str__(), trackingPlots.TimePerTrackPlot.__str__(), trackingPlots.TimePerEventPlot._create(), plotting.PlotGroup._drawSeparate(), plotting.PlotGroup._save(), trackingPlots.TimePerTrackPlot.create(), plotting.Plot.create(), plotting.PlotGroup.draw(), plotting.Plot.getName(), plotting.PlotGroup.getName(), plotting.PlotterFolder.getName(), plotting.PlotterItem.getName(), plotting.PlotterFolder.getSelectionNameIterator(), validation.SimpleSample.name(), trackingPlots.Iteration.name(), plotting.PlotterItem.readDirs(), and plotting.PlotGroup.remove().

◆ _ratioAdditional

plotting.Plot._ratioAdditional

private

Definition at line 2094 of file plotting.py.

◆ _ratios

plotting.Plot._ratios

private

Definition at line 2097 of file plotting.py.

◆ _tmp_histos

plotting.Plot._tmp_histos

private

Definition at line 2057 of file plotting.py.

◆ _xtitle

plotting.Plot._xtitle

private

Definition at line 2161 of file plotting.py.

◆ _ytitle

plotting.Plot._ytitle

private

Definition at line 2171 of file plotting.py.

Public Member Functions

Private Member Functions

Private Attributes

Detailed Description

Constructor & Destructor Documentation

◆ __init__()

Member Function Documentation

◆ _createOne()

◆ _normalize()

◆ _setStats()

◆ addToLegend()

◆ clone()

◆ create()

◆ draw()

◆ drawRatioUncertainty()

◆ getName()

◆ getNumberOfHistograms()

◆ isEmpty()

◆ isRatio()

◆ isTGraph2D()

◆ setProperties()

Member Data Documentation

◆ _forLegend

◆ _frame

◆ _histograms

◆ _mainAdditional

◆ _name

◆ _ratioAdditional

◆ _ratios

◆ _tmp_histos

◆ _xtitle

◆ _ytitle

◆ init()