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

def	append (self, plot)

def	clear (self)

def	create (self, tdirectoryNEvents, requireAllHistograms=False)

def	draw (self, legendLabels, prefix=None, separate=False, saveFormat=".pdf", ratio=True)

def	getName (self)

def	getPlot (self, name)

def	getPlots (self)

def	onlyForPileup (self)

def	remove (self, name)

def	setProperties (self, kwargs)

Private Member Functions
def	_createLegend (self, plot, legendLabels, lx1, ly1, lx2, ly2, textSize=0.016, denomUncertainty=True)

def	_drawSeparate (self, legendLabels, prefix, saveFormat, ratio)

def	_modifyPadForRatio (self, pad)

def	_save (self, canvas, saveFormat, prefix=None, postfix=None, single=False)

Private Attributes
	_name

	_plots

	_ratioFactor

Detailed Description

Group of plots, results a TCanvas

Definition at line 2101 of file plotting.py.

Constructor & Destructor Documentation

def plotting.PlotGroup.__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

Definition at line 2103 of file plotting.py.

     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
         """
         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
 

Member Function Documentation

def plotting.PlotGroup._createLegend	(	self,
		plot,
		legendLabels,
		lx1,
		ly1,
		lx2,
		ly2,
		textSize = `0.016`,
		denomUncertainty = `True`
	)

private

Definition at line 2327 of file plotting.py.

References GeometryComparisonPlotter._legend.

Referenced by plotting.PlotGroup._drawSeparate(), and plotting.PlotGroup.draw().

     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 plotting.PlotGroup._drawSeparate	(	self,
		legendLabels,
		prefix,
		saveFormat,
		ratio
	)

private

Internal method to do the drawing to separate files per Plot instead of a file per PlotGroup

Definition at line 2261 of file plotting.py.

References plotting._createCanvas(), plotting.PlotGroup._createLegend(), plotting.PlotGroup._modifyPadForRatio(), FP420HitsObject._name, TrackerHitsObject._name, PGeometricDet::Item._name, TrackingRecHitAlgorithm._name, LikelihoodSpecies._name, L1TMuon::PtAssignmentUnit._name, L1TMuon::PtRefinementUnit._name, LikelihoodPdfProduct._name, LikelihoodPdf._name, citk::IsolationConeDefinitionBase._name, Logger._name, hcaldqm::DQModule._name, DrellYanValidation._name, WValidation._name, HistoParams< T >._name, hcaldqm::flag::Flag._name, hcaldqm::quantity::Quantity._name, CutApplicatorBase._name, ElectronMVAEstimatorRun2Phys14NonTrig._name, PhotonMVAEstimatorRun2Spring15NonTrig._name, PhotonMVAEstimatorRun2Phys14NonTrig._name, ElectronMVAEstimatorRun2Spring15Trig._name, GeometricDetExtra._name, ElectronMVAEstimatorRun2Spring15NonTrig._name, HistoParams< TH2F >._name, HistoParams< TProfile2D >._name, Vispa.Views.PropertyView.Property._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, plotting.Plot._name, plotting.PlotGroup._name, plotting.PlotGroup._plots, plotting.PlotGroup._ratioFactor, plotting.PlotGroup._save(), and createfilelist.int.

Referenced by plotting.PlotGroup.draw().

     def _drawSeparate(self, legendLabels, prefix, saveFormat, ratio):
         """Internal method to do the drawing to separate files per Plot instead of a file per PlotGroup"""
         width = 500
         height = 500
 
         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)
 
         lx1def = 0.6
         lx2def = 0.95
         ly1def = 0.85
         ly2def = 0.95
 
         ret = []
 
         for plot in self._plots:
             if plot.isEmpty():
                 continue
 
             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))
         return ret
 

def plotting.PlotGroup._modifyPadForRatio	(	self,
		pad
	)

private

Internal method to set divide a pad to two for ratio plots

Definition at line 2323 of file plotting.py.

References plotting.PlotGroup._ratioFactor.

Referenced by plotting.PlotGroup._drawSeparate(), and plotting.PlotGroup.draw().

     def _modifyPadForRatio(self, pad):
         """Internal method to set divide a pad to two for ratio plots"""
         _modifyPadForRatio(pad, self._ratioFactor)
 

def plotting.PlotGroup._save	(	self,
		canvas,
		saveFormat,
		prefix = `None`,
		postfix = `None`,
		single = `False`
	)

private

Definition at line 2343 of file plotting.py.

References FP420HitsObject._name, TrackerHitsObject._name, PGeometricDet::Item._name, TrackingRecHitAlgorithm._name, LikelihoodSpecies._name, L1TMuon::PtAssignmentUnit._name, L1TMuon::PtRefinementUnit._name, LikelihoodPdfProduct._name, LikelihoodPdf._name, citk::IsolationConeDefinitionBase._name, Logger._name, hcaldqm::DQModule._name, DrellYanValidation._name, WValidation._name, HistoParams< T >._name, hcaldqm::flag::Flag._name, hcaldqm::quantity::Quantity._name, CutApplicatorBase._name, ElectronMVAEstimatorRun2Phys14NonTrig._name, PhotonMVAEstimatorRun2Spring15NonTrig._name, PhotonMVAEstimatorRun2Phys14NonTrig._name, ElectronMVAEstimatorRun2Spring15Trig._name, GeometricDetExtra._name, ElectronMVAEstimatorRun2Spring15NonTrig._name, HistoParams< TH2F >._name, HistoParams< TProfile2D >._name, Vispa.Views.PropertyView.Property._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, plotting.Plot._name, and plotting.PlotGroup._name.

Referenced by plotting.PlotGroup._drawSeparate(), and plotting.PlotGroup.draw().

     def _save(self, canvas, saveFormat, prefix=None, postfix=None, single=False):
         # Save the canvas to file and clear
         name = self._name
         if prefix is not None:
             name = prefix+name
         if postfix is not None:
             name = name+postfix
 
         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]
 

def plotting.PlotGroup.append	(	self,
		plot
	)

Definition at line 2162 of file plotting.py.

Referenced by diclist.diclist.add().

     def append(self, plot):
         self._plots.append(plot)
 

def plotting.PlotGroup.clear ( self )

Definition at line 2159 of file plotting.py.

References plotting.PlotGroup._plots.

     def clear(self):
         self._plots = []
 

def plotting.PlotGroup.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)

Definition at line 2175 of file plotting.py.

References plotting.PlotGroup._plots.

     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 plotting.PlotGroup.draw	(	self,
		legendLabels,
		prefix = `None`,
		separate = `False`,
		saveFormat = `".pdf"`,
		ratio = `True`
	)

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)

Definition at line 2185 of file plotting.py.

References plotting._createCanvas(), plotting.PlotGroup._createLegend(), plotting.PlotGroup._drawSeparate(), plotting.PlotGroup._modifyPadForRatio(), FP420HitsObject._name, TrackerHitsObject._name, PGeometricDet::Item._name, TrackingRecHitAlgorithm._name, LikelihoodSpecies._name, L1TMuon::PtAssignmentUnit._name, L1TMuon::PtRefinementUnit._name, LikelihoodPdfProduct._name, LikelihoodPdf._name, citk::IsolationConeDefinitionBase._name, Logger._name, hcaldqm::DQModule._name, DrellYanValidation._name, WValidation._name, HistoParams< T >._name, hcaldqm::flag::Flag._name, hcaldqm::quantity::Quantity._name, CutApplicatorBase._name, ElectronMVAEstimatorRun2Phys14NonTrig._name, PhotonMVAEstimatorRun2Spring15NonTrig._name, PhotonMVAEstimatorRun2Phys14NonTrig._name, GeometricDetExtra._name, ElectronMVAEstimatorRun2Spring15Trig._name, ElectronMVAEstimatorRun2Spring15NonTrig._name, HistoParams< TH2F >._name, HistoParams< TProfile2D >._name, Vispa.Views.PropertyView.Property._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, plotting.Plot._name, plotting.PlotGroup._name, plotting.PlotGroup._plots, plotting.PlotGroup._ratioFactor, plotting.PlotGroup._save(), createfilelist.int, and hpstanc_transforms.max.

     def draw(self, legendLabels, prefix=None, separate=False, saveFormat=".pdf", ratio=True):
         """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)
         """
 
         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)
 
         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)
 
         # 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)
 

def plotting.PlotGroup.getName ( self )

Definition at line 2146 of file plotting.py.

References FP420HitsObject._name, TrackerHitsObject._name, PGeometricDet::Item._name, TrackingRecHitAlgorithm._name, LikelihoodSpecies._name, L1TMuon::PtAssignmentUnit._name, L1TMuon::PtRefinementUnit._name, LikelihoodPdfProduct._name, LikelihoodPdf._name, citk::IsolationConeDefinitionBase._name, Logger._name, hcaldqm::DQModule._name, DrellYanValidation._name, WValidation._name, HistoParams< T >._name, hcaldqm::flag::Flag._name, hcaldqm::quantity::Quantity._name, CutApplicatorBase._name, ElectronMVAEstimatorRun2Phys14NonTrig._name, PhotonMVAEstimatorRun2Spring15NonTrig._name, PhotonMVAEstimatorRun2Phys14NonTrig._name, ElectronMVAEstimatorRun2Spring15Trig._name, GeometricDetExtra._name, ElectronMVAEstimatorRun2Spring15NonTrig._name, HistoParams< TH2F >._name, HistoParams< TProfile2D >._name, Vispa.Views.PropertyView.Property._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, plotting.Plot._name, and plotting.PlotGroup._name.

     def getName(self):
         return self._name
 

def plotting.PlotGroup.getPlot	(	self,
		name
	)

Definition at line 2165 of file plotting.py.

References plotting.PlotGroup._plots.

     def getPlot(self, name):
         for plot in self._plots:
             if plot.getName() == name:
                 return plot
         raise Exception("No Plot named '%s'" % name)
 

def plotting.PlotGroup.getPlots ( self )

Definition at line 2149 of file plotting.py.

References plotting.PlotGroup._plots.

     def getPlots(self):
         return self._plots
 

def plotting.PlotGroup.onlyForPileup ( self )

Return True if the PlotGroup is intended only for pileup samples

Definition at line 2171 of file plotting.py.

References plotting.PlotFolder._onlyForPileup.

     def onlyForPileup(self):
         """Return True if the PlotGroup is intended only for pileup samples"""
         return self._onlyForPileup
 

def plotting.PlotGroup.remove	(	self,
		name
	)

Definition at line 2152 of file plotting.py.

References FP420HitsObject._name, TrackerHitsObject._name, PGeometricDet::Item._name, TrackingRecHitAlgorithm._name, LikelihoodSpecies._name, L1TMuon::PtAssignmentUnit._name, L1TMuon::PtRefinementUnit._name, LikelihoodPdfProduct._name, LikelihoodPdf._name, citk::IsolationConeDefinitionBase._name, Logger._name, hcaldqm::DQModule._name, DrellYanValidation._name, WValidation._name, HistoParams< T >._name, hcaldqm::flag::Flag._name, hcaldqm::quantity::Quantity._name, CutApplicatorBase._name, ElectronMVAEstimatorRun2Phys14NonTrig._name, PhotonMVAEstimatorRun2Spring15NonTrig._name, PhotonMVAEstimatorRun2Phys14NonTrig._name, ElectronMVAEstimatorRun2Spring15Trig._name, GeometricDetExtra._name, ElectronMVAEstimatorRun2Spring15NonTrig._name, HistoParams< TH2F >._name, HistoParams< TProfile2D >._name, Vispa.Views.PropertyView.Property._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, plotting.Plot._name, plotting.PlotGroup._name, and plotting.PlotGroup._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 plotting.PlotGroup.setProperties	(	self,
		kwargs
	)

Definition at line 2140 of file plotting.py.

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