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TSPlot Class Reference

Legacy Code

TSPlot is a legacy interface: there will be no bug fixes nor new developments. Therefore it is not recommended to use it in new long-term production code. But, depending on the context, using TSPlot might still be a valid solution.

A common method used in High Energy Physics to perform measurements is the maximum Likelihood method, exploiting discriminating variables to disentangle signal from background. The crucial point for such an analysis to be reliable is to use an exhaustive list of sources of events combined with an accurate description of all the Probability Density Functions (PDF).

To assess the validity of the fit, a convincing quality check is to explore further the data sample by examining the distributions of control variables. A control variable can be obtained for instance by removing one of the discriminating variables before performing again the maximum Likelihood fit: this removed variable is a control variable. The expected distribution of this control variable, for signal, is to be compared to the one extracted, for signal, from the data sample. In order to be able to do so, one must be able to unfold from the distribution of the whole data sample.

The TSPlot method allows to reconstruct the distributions for the control variable, independently for each of the various sources of events, without making use of any a priori knowledge on this variable. The aim is thus to use the knowledge available for the discriminating variables to infer the behaviour of the individual sources of events with respect to the control variable.

TSPlot is optimal if the control variable is uncorrelated with the discriminating variables.

A detail description of the formalism itself, called \(\hbox{$_s$}{\cal P}lot\), is given in [1].

The method

The \(\hbox{$_s$}{\cal P}lot\) technique is developed in the above context of a maximum Likelihood method making use of discriminating variables.

One considers a data sample in which are merged several species of events. These species represent various signal components and background components which all together account for the data sample. The different terms of the log-Likelihood are:

  • \(N\) : the total number of events in the data sample,
  • \({\rm N}_{\rm s}\) : the number of species of events populating the data sample,
  • \(N_i\) : the number of events expected on the average for the \(i^{\rm th}\) species,
  • \({\rm f}_i(y_e)\) : the value of the PDFs of the discriminating variables \(y\) for the \(i^{th}\) species and for event \(e\),
  • \(x\) : the set of control variables which, by definition, do not appear in the expression of the Likelihood function \({\cal L}\).

The extended log-Likelihood reads:

\[{\cal L}=\sum_{e=1}^{N}\ln \Big\{ \sum_{i=1}^{{\rm N}_{\rm s}}N_i{\rm f}_i(y_e) \Big\} -\sum_{i=1}^{{\rm N}_{\rm s}}N_i \tag{1} \]

From this expression, after maximization of \({\cal L}\) with respect to the \(N_i\) parameters, a weight can be computed for every event and each species, in order to obtain later the true distribution \(\hbox{M}_i(x)\) of variable \(x\). If \({\rm n}\) is one of the \({\rm N}_{\rm s}\) species present in the data sample, the weight for this species is defined by:

\[\fbox{$ {_s{\cal P}}_{\rm n}(y_e)={\sum_{j=1}^{{\rm N}_{\rm s}} \hbox{V}_{{\rm n}j}{\rm f}_j(y_e)\over\sum_{k=1}^{{\rm N}_{\rm s}}N_k{\rm f}_k(y_e) } $} , \tag{2} \]

where \(\hbox{V}_{{\rm n}j}\)

is the covariance matrix resulting from the Likelihood maximization. This matrix can be used directly from the fit, but this is numerically less accurate than the direct computation:

\[\hbox{ V}^{-1}_{{\rm n}j}~=~ {\partial^2(-{\cal L})\over\partial N_{\rm n}\partial N_j}~=~ \sum_{e=1}^N {{\rm f}_{\rm n}(y_e){\rm f}_j(y_e)\over(\sum_{k=1}^{{\rm N}_{\rm s}}N_k{\rm f}_k(y_e))^2} . \tag{3} \]

The distribution of the control variable \(x\) obtained by histogramming the weighted events reproduces, on average, the true distribution \({\hbox{ {M}}}_{\rm n}(x)\)

The class TSPlot allows to reconstruct the true distribution \({\hbox{ {M}}}_{\rm n}(x)\)

of a control variable \(x\) for each of the \({\rm N}_{\rm s}\) species from the sole knowledge of the PDFs of the discriminating variables \({\rm f}_i(y)\). The plots obtained thanks to the TSPlot class are called \(\hbox {$_s$}{\cal P}lots\).

Some properties and checks

Beside reproducing the true distribution, \(\hbox {$_s$}{\cal P}lots\) bear remarkable properties:

  • Each \(x\) - distribution is properly normalized:

\[\sum_{e=1}^{N} {_s{\cal P}}_{\rm n}(y_e)~=~N_{\rm n} ~. \tag{4} \]

  • For any event:

\[\sum_{l=1}^{{\rm N}_{\rm s}} {_s{\cal P}}_l(y_e) ~=~1 ~. \tag{5} \]

That is to say that, summing up the \({\rm N}_{\rm s}\) \(\hbox {$_s$}{\cal P}lots\), one recovers the data sample distribution in \(x\), and summing up the number of events entering in a \(\hbox{$_s$}{\cal P}lot\) for a given species, one recovers the yield of the species, as provided by the fit. The property 4 is implemented in the TSPlot class as a check.

  • the sum of the statistical uncertainties per bin

\[\sigma[N_{\rm n}\ _s\tilde{\rm M}_{\rm n}(x) {\delta x}]~=~\sqrt{\sum_{e \subset {\delta x}} ({_s{\cal P}}_{\rm n})^2} ~. \tag{6} \]

reproduces the statistical uncertainty on the yield \(N_{\rm n}\), as provided by the fit: \(\sigma[N_{\rm n}]\equiv\sqrt{\hbox{ V}_{{\rm n}{\rm n}}}\) . Because of that and since the determination of the yields is optimal when obtained using a Likelihood fit, one can conclude that the \(\hbox{$_s$}{\cal P}lot\) technique is itself an optimal method to reconstruct distributions of control variables.

Different steps followed by TSPlot

  1. A maximum Likelihood fit is performed to obtain the yields \(N_i\) of the various species.The fit relies on discriminating variables \(y\) uncorrelated with a control variable \(x\): the later is therefore totally absent from the fit.
  2. The weights \({_s{\cal P}}\) are calculated using Eq. (2) where the covariance matrix is taken from Minuit.
  3. Histograms of \(x\) are filled by weighting the events with \({_s{\cal P}}\) .
  4. Error bars per bin are given by Eq. (6).

The \(\hbox {$_s$}{\cal P}lots\) reproduce the true distributions of the species in the control variable \(x\), within the above defined statistical uncertainties.

Illustrations

To illustrate the technique, one considers an example derived from the analysis where \(\hbox {$_s$}{\cal P}lots\) have been first used (charmless B decays). One is dealing with a data sample in which two species are present: the first is termed signal and the second background. A maximum Likelihood fit is performed to obtain the two yields \(N_1\) and \(N_2\) . The fit relies on two discriminating variables collectively denoted \(y\) which are chosen within three possible variables denoted \({m_{\rm ES}}\) , \(\Delta E\) and \({\cal F}\). The variable which is not incorporated in \(y\) is used as the control variable \(x\) . The six distributions of the three variables are assumed to be the ones depicted in Fig. 1.

Figure 1

Distributions of the three discriminating variables available to perform the Likelihood fit: \({m_{\rm ES}}\) , \(\Delta E\) , \({\cal F}\) . Among the three variables, two are used to perform the fit while one is kept out of the fit to serve the purpose of a control variable. The three distributions on the top (resp. bottom) of the figure correspond to the signal (resp. background). The unit of the vertical axis is chosen such that it indicates the number of entries per bin, if one slices the histograms in 25 bins.

A data sample being built through a Monte Carlo simulation based on the distributions shown in Fig. 1, one obtains the three distributions of Fig. 2. Whereas the distribution of \(\Delta E\) clearly indicates the presence of the signal, the distribution of \({m_{\rm ES}}\) and \({\cal F}\) are less obviously populated by signal.

Figure 2

Distributions of the three discriminating variables for signal plus background. The three distributions are the ones obtained from a data sample obtained through a Monte Carlo simulation based on the distributions shown in Fig. 1. The data sample consists of 500 signal events and 5000 background events.

Choosing \(\Delta E\) and \({\cal F}\) as discriminating variables to determine \(N_1\) and \(N_2\) through a maximum Likelihood fit, one builds, for the control variable \({m_{\rm ES}}\) which is unknown to the fit, the two \(\hbox {$_s$}{\cal P}lots\) for signal and background shown in Fig. 3. One observes that the \(\hbox{$_s$}{\cal P}lot\) for signal reproduces correctly the PDF even where the latter vanishes, although the error bars remain sizeable. This results from the almost complete cancellation between positive and negative weights: the sum of weights is close to zero while the sum of weights squared is not. The occurrence of negative weights occurs through the appearance of the covariance matrix, and its negative components, in the definition of Eq. (2).

A word of caution is in order with respect to the error bars. Whereas their sum in quadrature is identical to the statistical uncertainties of the yields determined by the fit, and if, in addition, they are asymptotically correct, the error bars should be handled with care for low statistics and/or for too fine binning. This is because the error bars do not incorporate two known properties of the PDFs: PDFs are positive definite and can be non-zero in a given x-bin, even if in the particular data sample at hand, no event is observed in this bin. The latter limitation is not specific to \(\hbox {$_s$}{\cal P}lots\) , rather it is always present when one is willing to infer the PDF at the origin of an histogram, when, for some bins, the number of entries does not guaranty the applicability of the Gaussian regime. In such situations, a satisfactory practice is to attach allowed ranges to the histogram to indicate the upper and lower limits of the PDF value which are consistent with the actual observation, at a given confidence level.

Figure 3

The \(\hbox {$_s$}{\cal P}lots\) (signal on top, background on bottom) obtained for \({m_{\rm ES}}\) are represented as dots with error bars. They are obtained from a fit using only information from \(\Delta E\) and \({\cal F}\)

Choosing \({m_{\rm ES}}\) and \(\Delta E\) as discriminating variables to determine \(N_1\) and \(N_2\) through a maximum Likelihood fit, one builds, for the control variable \({\cal F}\) which is unknown to the fit, the two \(\hbox {$_s$}{\cal P}lots\) for signal and background shown in Fig. 4. In the \(\hbox{$_s$}{\cal P}lot\) for signal one observes that error bars are the largest in the \(x\) regions where the background is the largest.

Figure 4

The \(\hbox {$_s$}{\cal P}lots\) (signal on top, background on bottom) obtained for \({\cal F}\) are represented as dots with error bars. They are obtained from a fit using only information from \({m_{\rm ES}}\) and \(\Delta E\)

The results above can be obtained by running the tutorial TestSPlot.C

Definition at line 21 of file TSPlot.h.

Public Types

enum  { kSingleKey = (1ULL << (0)) , kOverwrite = (1ULL << (1)) , kWriteDelete = (1ULL << (2)) }
enum  {
  kIsOnHeap = 0x01000000 , kNotDeleted = 0x02000000 , kZombie = 0x04000000 , kInconsistent = 0x08000000 ,
  kBitMask = 0x00ffffff
}
enum  EDeprecatedStatusBits { kObjInCanvas = (1ULL << (3)) }
enum  EStatusBits {
  kCanDelete = (1ULL << (0)) , kMustCleanup = (1ULL << (3)) , kIsReferenced = (1ULL << (4)) , kHasUUID = (1ULL << (5)) ,
  kCannotPick = (1ULL << (6)) , kNoContextMenu = (1ULL << (8)) , kInvalidObject = (1ULL << (13))
}

Public Member Functions

 TSPlot ()
 default constructor (used by I/O only)
 TSPlot (Int_t nx, Int_t ny, Int_t ne, Int_t ns, TTree *tree)
 Normal TSPlot constructor.
 ~TSPlot () override
 Destructor.
void AbstractMethod (const char *method) const
 Call this function within a function that you don't want to define as purely virtual, in order not to force all users deriving from that class to implement that maybe (on their side) unused function; but at the same time, emit a run-time warning if they try to call it, telling that it is not implemented in the derived class: action must thus be taken on the user side to override it.
virtual void AppendPad (Option_t *option="")
 Append graphics object to current pad.
void Browse (TBrowser *b) override
 To browse the histograms.
ULong_t CheckedHash ()
 Check and record whether this class has a consistent Hash/RecursiveRemove setup (*) and then return the regular Hash value for this object.
virtual const char * ClassName () const
 Returns name of class to which the object belongs.
virtual void Clear (Option_t *="")
virtual TObjectClone (const char *newname="") const
 Make a clone of an object using the Streamer facility.
virtual Int_t Compare (const TObject *obj) const
 Compare abstract method.
virtual void Copy (TObject &object) const
 Copy this to obj.
virtual void Delete (Option_t *option="")
 Delete this object.
virtual Int_t DistancetoPrimitive (Int_t px, Int_t py)
 Computes distance from point (px,py) to the object.
virtual void Draw (Option_t *option="")
 Default Draw method for all objects.
virtual void DrawClass () const
 Draw class inheritance tree of the class to which this object belongs.
virtual TObjectDrawClone (Option_t *option="") const
 Draw a clone of this object in the current selected pad with: gROOT->SetSelectedPad(c1).
virtual void Dump () const
 Dump contents of object on stdout.
virtual void Error (const char *method, const char *msgfmt,...) const
 Issue error message.
virtual void Execute (const char *method, const char *params, Int_t *error=nullptr)
 Execute method on this object with the given parameter string, e.g.
virtual void Execute (TMethod *method, TObjArray *params, Int_t *error=nullptr)
 Execute method on this object with parameters stored in the TObjArray.
virtual void ExecuteEvent (Int_t event, Int_t px, Int_t py)
 Execute action corresponding to an event at (px,py).
virtual void Fatal (const char *method, const char *msgfmt,...) const
 Issue fatal error message.
void FillSWeightsHists (Int_t nbins=50)
 The order of histograms in the array:
void FillXvarHists (Int_t nbins=100)
 Fills the histograms of x variables (not weighted) with nbins.
void FillYpdfHists (Int_t nbins=100)
 Fills the histograms of pdf-s of y variables with binning nbins.
void FillYvarHists (Int_t nbins=100)
 Fill the histograms of y variables.
virtual TObjectFindObject (const char *name) const
 Must be redefined in derived classes.
virtual TObjectFindObject (const TObject *obj) const
 Must be redefined in derived classes.
virtual Option_tGetDrawOption () const
 Get option used by the graphics system to draw this object.
virtual const char * GetIconName () const
 Returns mime type name of object.
virtual const char * GetName () const
 Returns name of object.
Int_t GetNevents ()
Int_t GetNspecies ()
virtual char * GetObjectInfo (Int_t px, Int_t py) const
 Returns string containing info about the object at position (px,py).
virtual Option_tGetOption () const
void GetSWeights (Double_t *weights)
 Returns the matrix of sweights.
void GetSWeights (TMatrixD &weights)
 Returns the matrix of sweights.
TH1DGetSWeightsHist (Int_t ixvar, Int_t ispecies, Int_t iyexcl=-1)
 The Fill...Hist() methods fill the histograms with the real limits on the variables This method allows to refill the specified histogram with user-set boundaries min and max.
TObjArrayGetSWeightsHists ()
 Returns an array of all histograms of variables, weighted with sWeights.
virtual const char * GetTitle () const
 Returns title of object.
TStringGetTreeExpression ()
TStringGetTreeName ()
TStringGetTreeSelection ()
virtual UInt_t GetUniqueID () const
 Return the unique object id.
TH1DGetXvarHist (Int_t ixvar)
 Returns the histogram of variable ixvar.
TObjArrayGetXvarHists ()
 Returns the array of histograms of x variables (not weighted).
TH1DGetYpdfHist (Int_t iyvar, Int_t ispecies)
 Returns the histogram of the pdf of variable iyvar for species #ispecies, binning nbins.
TObjArrayGetYpdfHists ()
 Returns the array of histograms of pdf's of y variables with binning nbins.
TH1DGetYvarHist (Int_t iyvar)
 Returns the histogram of variable iyvar.If histograms have not already been filled, they are filled with default binning 100.
TObjArrayGetYvarHists ()
 Returns the array of histograms of y variables.
virtual Bool_t HandleTimer (TTimer *timer)
 Execute action in response of a timer timing out.
virtual ULong_t Hash () const
 Return hash value for this object.
Bool_t HasInconsistentHash () const
 Return true is the type of this object is known to have an inconsistent setup for Hash and RecursiveRemove (i.e.
virtual void Info (const char *method, const char *msgfmt,...) const
 Issue info message.
virtual Bool_t InheritsFrom (const char *classname) const
 Returns kTRUE if object inherits from class "classname".
virtual Bool_t InheritsFrom (const TClass *cl) const
 Returns kTRUE if object inherits from TClass cl.
virtual void Inspect () const
 Dump contents of this object in a graphics canvas.
void InvertBit (UInt_t f)
TClassIsA () const override
Bool_t IsDestructed () const
 IsDestructed.
virtual Bool_t IsEqual (const TObject *obj) const
 Default equal comparison (objects are equal if they have the same address in memory).
Bool_t IsFolder () const override
 Returns kTRUE in case object contains browsable objects (like containers or lists of other objects).
Bool_t IsOnHeap () const
virtual Bool_t IsSortable () const
Bool_t IsZombie () const
virtual void ls (Option_t *option="") const
 The ls function lists the contents of a class on stdout.
void MakeSPlot (Option_t *option="v")
 Calculates the sWeights.
void MayNotUse (const char *method) const
 Use this method to signal that a method (defined in a base class) may not be called in a derived class (in principle against good design since a child class should not provide less functionality than its parent, however, sometimes it is necessary).
virtual Bool_t Notify ()
 This method must be overridden to handle object notification (the base implementation is no-op).
void Obsolete (const char *method, const char *asOfVers, const char *removedFromVers) const
 Use this method to declare a method obsolete.
void operator delete (void *, size_t)
 Operator delete for sized deallocation.
void operator delete (void *ptr)
 Operator delete.
void operator delete (void *ptr, void *vp)
 Only called by placement new when throwing an exception.
void operator delete[] (void *, size_t)
 Operator delete [] for sized deallocation.
void operator delete[] (void *ptr)
 Operator delete [].
void operator delete[] (void *ptr, void *vp)
 Only called by placement new[] when throwing an exception.
void * operator new (size_t sz)
void * operator new (size_t sz, void *vp)
void * operator new[] (size_t sz)
void * operator new[] (size_t sz, void *vp)
virtual void Paint (Option_t *option="")
 This method must be overridden if a class wants to paint itself.
virtual void Pop ()
 Pop on object drawn in a pad to the top of the display list.
virtual void Print (Option_t *option="") const
 This method must be overridden when a class wants to print itself.
virtual Int_t Read (const char *name)
 Read contents of object with specified name from the current directory.
virtual void RecursiveRemove (TObject *obj)
 Recursively remove this object from a list.
void RefillHist (Int_t type, Int_t var, Int_t nbins, Double_t min, Double_t max, Int_t nspecies=-1)
void ResetBit (UInt_t f)
virtual void SaveAs (const char *filename="", Option_t *option="") const
 Save this object in the file specified by filename.
virtual void SavePrimitive (std::ostream &out, Option_t *option="")
 Save a primitive as a C++ statement(s) on output stream "out".
void SetBit (UInt_t f)
void SetBit (UInt_t f, Bool_t set)
 Set or unset the user status bits as specified in f.
virtual void SetDrawOption (Option_t *option="")
 Set drawing option for object.
void SetInitialNumbersOfSpecies (Int_t *numbers)
 Set the initial number of events of each species - used as initial estimates in minuit.
void SetNEvents (Int_t ne)
void SetNSpecies (Int_t ns)
void SetNX (Int_t nx)
void SetNY (Int_t ny)
void SetTree (TTree *tree)
 Set the input Tree.
void SetTreeSelection (const char *varexp="", const char *selection="", Long64_t firstentry=0)
 Specifies the variables from the tree to be used for splot.
virtual void SetUniqueID (UInt_t uid)
 Set the unique object id.
void Streamer (TBuffer &) override
 Stream an object of class TObject.
void StreamerNVirtual (TBuffer &ClassDef_StreamerNVirtual_b)
virtual void SysError (const char *method, const char *msgfmt,...) const
 Issue system error message.
Bool_t TestBit (UInt_t f) const
Int_t TestBits (UInt_t f) const
virtual void UseCurrentStyle ()
 Set current style settings in this object This function is called when either TCanvas::UseCurrentStyle or TROOT::ForceStyle have been invoked.
virtual void Warning (const char *method, const char *msgfmt,...) const
 Issue warning message.
virtual Int_t Write (const char *name=nullptr, Int_t option=0, Int_t bufsize=0)
 Write this object to the current directory.
virtual Int_t Write (const char *name=nullptr, Int_t option=0, Int_t bufsize=0) const
 Write this object to the current directory.

Static Public Member Functions

static TClassClass ()
static const char * Class_Name ()
static constexpr Version_t Class_Version ()
static const char * DeclFileName ()
static Longptr_t GetDtorOnly ()
 Return destructor only flag.
static Bool_t GetObjectStat ()
 Get status of object stat flag.
static void SetDtorOnly (void *obj)
 Set destructor only flag.
static void SetObjectStat (Bool_t stat)
 Turn on/off tracking of objects in the TObjectTable.

Protected Types

enum  { kOnlyPrepStep = (1ULL << (3)) }

Protected Member Functions

virtual void DoError (int level, const char *location, const char *fmt, va_list va) const
 Interface to ErrorHandler (protected).
void MakeZombie ()
void SPlots (Double_t *covmat, Int_t i_excl)
 Computes the sWeights from the covariance matrix.

Static Protected Member Functions

static void SavePrimitiveConstructor (std::ostream &out, TClass *cl, const char *variable_name, const char *constructor_agrs="", Bool_t empty_line=kTRUE)
 Save object constructor in the output stream "out".
static void SavePrimitiveDraw (std::ostream &out, const char *variable_name, Option_t *option=nullptr)
 Save invocation of primitive Draw() method Skipped if option contains "nodraw" string.
static TString SavePrimitiveVector (std::ostream &out, const char *prefix, Int_t len, Double_t *arr, Int_t flag=0)
 Save array in the output stream "out" as vector.

Protected Attributes

TMatrixD fMinmax
Int_t fNevents
Int_t fNSpecies
Double_tfNumbersOfEvents
Int_t fNx
Int_t fNy
TMatrixD fPdfTot
 !
TStringfSelection = nullptr
TMatrixD fSWeights
TObjArray fSWeightsHists
TTreefTree = nullptr
 !
TStringfTreename = nullptr
TStringfVarexp = nullptr
TMatrixD fXvar
 !
TObjArray fXvarHists
TMatrixD fYpdf
 !
TObjArray fYpdfHists
TMatrixD fYvar
 !
TObjArray fYvarHists

Static Private Member Functions

static void AddToTObjectTable (TObject *)
 Private helper function which will dispatch to TObjectTable::AddObj.

Private Attributes

UInt_t fBits
 bit field status word
UInt_t fUniqueID
 object unique identifier

Static Private Attributes

static Longptr_t fgDtorOnly = 0
 object for which to call dtor only (i.e. no delete)
static Bool_t fgObjectStat = kTRUE
 if true keep track of objects in TObjectTable

#include <TSPlot.h>

Inheritance diagram for TSPlot:
TObject

Member Enumeration Documentation

◆ anonymous enum

anonymous enum
protectedinherited
Enumerator
kOnlyPrepStep 

Used to request that the class specific implementation of TObject::Write just prepare the objects to be ready to be written but do not actually write them into the TBuffer.

This is just for example by TBufferMerger to request that the TTree inside the file calls TTree::FlushBaskets (outside of the merging lock) and TBufferMerger will later ask for the write (inside the merging lock). To take advantage of this feature the class needs to overload TObject::Write and use this enum value accordingly. (See TTree::Write and TObject::Write) Do not use, this feature will be migrate to the Merge function (See TClass and TTree::Merge)

Definition at line 106 of file TObject.h.

◆ anonymous enum

anonymous enum
inherited
Enumerator
kSingleKey 

write collection with single key

kOverwrite 

overwrite existing object with same name

kWriteDelete 

write object, then delete previous key with same name

Definition at line 99 of file TObject.h.

◆ anonymous enum

anonymous enum
inherited
Enumerator
kIsOnHeap 

object is on heap

kNotDeleted 

object has not been deleted

kZombie 

object ctor failed

kInconsistent 

class overload Hash but does call RecursiveRemove in destructor

kBitMask 

Definition at line 89 of file TObject.h.

◆ EDeprecatedStatusBits

Enumerator
kObjInCanvas 

for backward compatibility only, use kMustCleanup

Definition at line 84 of file TObject.h.

◆ EStatusBits

enum TObject::EStatusBits
inherited
Enumerator
kCanDelete 

if object in a list can be deleted

kMustCleanup 

if object destructor must call RecursiveRemove()

kIsReferenced 

if object is referenced by a TRef or TRefArray

kHasUUID 

if object has a TUUID (its fUniqueID=UUIDNumber)

kCannotPick 

if object in a pad cannot be picked

kNoContextMenu 

if object does not want context menu

kInvalidObject 

if object ctor succeeded but object should not be used

Definition at line 70 of file TObject.h.

Constructor & Destructor Documentation

◆ TSPlot() [1/2]

TSPlot::TSPlot ( )

default constructor (used by I/O only)

Definition at line 291 of file TSPlot.cxx.

◆ TSPlot() [2/2]

TSPlot::TSPlot ( Int_t nx,
Int_t ny,
Int_t ne,
Int_t ns,
TTree * tree )

Normal TSPlot constructor.

  • nx : number of control variables
  • ny : number of discriminating variables
  • ne : total number of events
  • ns : number of species
  • tree: input data

Definition at line 308 of file TSPlot.cxx.

◆ ~TSPlot()

TSPlot::~TSPlot ( )
override

Destructor.

Definition at line 326 of file TSPlot.cxx.

Member Function Documentation

◆ AbstractMethod()

void TObject::AbstractMethod ( const char * method) const
inherited

Call this function within a function that you don't want to define as purely virtual, in order not to force all users deriving from that class to implement that maybe (on their side) unused function; but at the same time, emit a run-time warning if they try to call it, telling that it is not implemented in the derived class: action must thus be taken on the user side to override it.

In other word, this method acts as a "runtime purely virtual" warning instead of a "compiler purely virtual" error.

Warning
This interface is a legacy function that is no longer recommended to be used by new development code.
Note
The name "AbstractMethod" does not imply that it's an abstract method in the strict C++ sense.

Definition at line 1149 of file TObject.cxx.

◆ AddToTObjectTable()

void TObject::AddToTObjectTable ( TObject * op)
staticprivateinherited

Private helper function which will dispatch to TObjectTable::AddObj.

Included here to avoid circular dependency between header files.

Definition at line 195 of file TObject.cxx.

◆ AppendPad()

void TObject::AppendPad ( Option_t * option = "")
virtualinherited

Append graphics object to current pad.

In case no current pad is set yet, create a default canvas with the name "c1".

Definition at line 204 of file TObject.cxx.

◆ Browse()

void TSPlot::Browse ( TBrowser * b)
overridevirtual

To browse the histograms.

Reimplemented from TObject.

Definition at line 341 of file TSPlot.cxx.

◆ CheckedHash()

ULong_t TObject::CheckedHash ( )
inlineinherited

Check and record whether this class has a consistent Hash/RecursiveRemove setup (*) and then return the regular Hash value for this object.

The intent is for this routine to be called instead of directly calling the function Hash during "insert" operations. See TObject::HasInconsistenTObjectHash();

(*) The setup is consistent when all classes in the class hierarchy that overload TObject::Hash do call ROOT::CallRecursiveRemoveIfNeeded in their destructor. i.e. it is safe to call the Hash virtual function during the RecursiveRemove operation.

Definition at line 332 of file TObject.h.

◆ Class()

TClass * TSPlot::Class ( )
static
Returns
TClass describing this class

◆ Class_Name()

const char * TSPlot::Class_Name ( )
static
Returns
Name of this class

◆ Class_Version()

constexpr Version_t TSPlot::Class_Version ( )
inlinestaticconstexpr
Returns
Version of this class

Definition at line 90 of file TSPlot.h.

◆ ClassName()

const char * TObject::ClassName ( ) const
virtualinherited

Returns name of class to which the object belongs.

Definition at line 227 of file TObject.cxx.

◆ Clear()

◆ Clone()

TObject * TObject::Clone ( const char * newname = "") const
virtualinherited

Make a clone of an object using the Streamer facility.

If the object derives from TNamed, this function is called by TNamed::Clone. TNamed::Clone uses the optional argument to set a new name to the newly created object.

If the object class has a DirectoryAutoAdd function, it will be called at the end of the function with the parameter gDirectory. This usually means that the object will be appended to the current ROOT directory.

Reimplemented in RooAbsArg, RooAbsBinning, RooAbsCollection, RooAbsStudy, RooCatType, RooCmdArg, RooDataHist, RooDataSet, RooFitResult, RooLinkedList, RooStats::HypoTestResult, RooStats::ModelConfig, RooStudyPackage, RooTemplateProxy< T >, RooTemplateProxy< const RooHistFunc >, RooTemplateProxy< RooAbsCategory >, RooTemplateProxy< RooAbsPdf >, RooTemplateProxy< RooAbsReal >, RooTemplateProxy< RooAbsRealLValue >, RooTemplateProxy< RooMultiCategory >, RooTemplateProxy< RooRealVar >, RooWorkspace, TASImage, TChainIndex, TClass, TCollection, TF1, TFunction, TFunctionTemplate, TH1, TImage, TMethod, TMethodCall, TMinuit, TMVA::MinuitWrapper, TNamed, TStreamerInfo, and TTreeIndex.

Definition at line 243 of file TObject.cxx.

◆ Compare()

Int_t TObject::Compare ( const TObject * obj) const
virtualinherited

Compare abstract method.

Must be overridden if a class wants to be able to compare itself with other objects. Must return -1 if this is smaller than obj, 0 if objects are equal and 1 if this is larger than obj.

Reimplemented in RooAbsArg, RooDouble, TCollection, TEnvRec, TFileInfo, TGeoBranchArray, TGeoOverlap, TGFSFrameElement, TGLBFrameElement, TNamed, TObjString, TParameter< AParamType >, TParameter< Long64_t >, TStructNode, TStructNodeProperty, and TUrl.

Definition at line 258 of file TObject.cxx.

◆ Copy()

◆ DeclFileName()

const char * TSPlot::DeclFileName ( )
inlinestatic
Returns
Name of the file containing the class declaration

Definition at line 90 of file TSPlot.h.

◆ Delete()

void TObject::Delete ( Option_t * option = "")
virtualinherited

◆ DistancetoPrimitive()

◆ DoError()

void TObject::DoError ( int level,
const char * location,
const char * fmt,
va_list va ) const
protectedvirtualinherited

Interface to ErrorHandler (protected).

Reimplemented in TThread, and TTreeViewer.

Definition at line 1059 of file TObject.cxx.

◆ Draw()

◆ DrawClass()

void TObject::DrawClass ( ) const
virtualinherited

Draw class inheritance tree of the class to which this object belongs.

If a class B inherits from a class A, description of B is drawn on the right side of description of A. Member functions overridden by B are shown in class A with a blue line crossing-out the corresponding member function. The following picture is the class inheritance tree of class TPaveLabel:

Reimplemented in TGFrame, TSystemDirectory, and TSystemFile.

Definition at line 308 of file TObject.cxx.

◆ DrawClone()

TObject * TObject::DrawClone ( Option_t * option = "") const
virtualinherited

Draw a clone of this object in the current selected pad with: gROOT->SetSelectedPad(c1).

If pad was not selected - gPad will be used.

Note
For histograms, use the more specialised TH1::DrawCopy().

Reimplemented in TAxis, TCanvas, TGFrame, TSystemDirectory, and TSystemFile.

Definition at line 319 of file TObject.cxx.

◆ Dump()

void TObject::Dump ( ) const
virtualinherited

Dump contents of object on stdout.

Using the information in the object dictionary (class TClass) each data member is interpreted. If a data member is a pointer, the pointer value is printed

The following output is the Dump of a TArrow object:

fAngle 0 Arrow opening angle (degrees)
fArrowSize 0.2 Arrow Size
fOption.*fData
fX1 0.1 X of 1st point
fY1 0.15 Y of 1st point
fX2 0.67 X of 2nd point
fY2 0.83 Y of 2nd point
fUniqueID 0 object unique identifier
fBits 50331648 bit field status word
fLineColor 1 line color
fLineStyle 1 line style
fLineWidth 1 line width
fFillColor 19 fill area color
fFillStyle 1001 fill area style
#define X(type, name)
UInt_t fUniqueID
object unique identifier
Definition TObject.h:46
UInt_t fBits
bit field status word
Definition TObject.h:47
TLine * line
TCanvas * style()
Definition style.C:1

Reimplemented in TClass, TCollection, TGFrame, TGPack, and TSystemFile.

Definition at line 367 of file TObject.cxx.

◆ Error()

void TObject::Error ( const char * location,
const char * fmt,
... ) const
virtualinherited

Issue error message.

Use "location" to specify the method where the error occurred. Accepts standard printf formatting arguments.

Reimplemented in TFitResult.

Definition at line 1098 of file TObject.cxx.

◆ Execute() [1/2]

void TObject::Execute ( const char * method,
const char * params,
Int_t * error = nullptr )
virtualinherited

Execute method on this object with the given parameter string, e.g.

"3.14,1,\"text\"".

Reimplemented in ROOT::R::TRInterface, TCling, TContextMenu, TInterpreter, and TMethodCall.

Definition at line 378 of file TObject.cxx.

◆ Execute() [2/2]

void TObject::Execute ( TMethod * method,
TObjArray * params,
Int_t * error = nullptr )
virtualinherited

Execute method on this object with parameters stored in the TObjArray.

The TObjArray should contain an argv vector like:

argv[0] ... argv[n] = the list of TObjString parameters
Collectable string class.
Definition TObjString.h:28
const Int_t n
Definition legend1.C:16

Reimplemented in ROOT::R::TRInterface, TCling, TContextMenu, TInterpreter, and TMethodCall.

Definition at line 398 of file TObject.cxx.

◆ ExecuteEvent()

◆ Fatal()

void TObject::Fatal ( const char * location,
const char * fmt,
... ) const
virtualinherited

Issue fatal error message.

Use "location" to specify the method where the fatal error occurred. Accepts standard printf formatting arguments.

Definition at line 1126 of file TObject.cxx.

◆ FillSWeightsHists()

void TSPlot::FillSWeightsHists ( Int_t nbins = 50)

The order of histograms in the array:

x0_species0, x0_species1,..., x1_species0, x1_species1,..., y0_species0, y0_species1,...

If the histograms have already been filled with a different binning, they are refilled and all histograms are deleted

Definition at line 684 of file TSPlot.cxx.

◆ FillXvarHists()

void TSPlot::FillXvarHists ( Int_t nbins = 100)

Fills the histograms of x variables (not weighted) with nbins.

Definition at line 515 of file TSPlot.cxx.

◆ FillYpdfHists()

void TSPlot::FillYpdfHists ( Int_t nbins = 100)

Fills the histograms of pdf-s of y variables with binning nbins.

Definition at line 623 of file TSPlot.cxx.

◆ FillYvarHists()

void TSPlot::FillYvarHists ( Int_t nbins = 100)

Fill the histograms of y variables.

Definition at line 571 of file TSPlot.cxx.

◆ FindObject() [1/2]

TObject * TObject::FindObject ( const char * name) const
virtualinherited

Must be redefined in derived classes.

This function is typically used with TCollections, but can also be used to find an object by name inside this object.

Reimplemented in RooAbsCollection, RooLinkedList, TBtree, TCollection, TDirectory, TFolder, TGeometry, TGraph2D, TGraph, TH1, THashList, THashTable, THbookFile, TList, TListOfDataMembers, TListOfEnums, TListOfEnumsWithLock, TListOfFunctions, TListOfFunctionTemplates, TListOfTypes, TMap, TObjArray, TPad, TROOT, TViewPubDataMembers, and TViewPubFunctions.

Definition at line 425 of file TObject.cxx.

◆ FindObject() [2/2]

TObject * TObject::FindObject ( const TObject * obj) const
virtualinherited

Must be redefined in derived classes.

This function is typically used with TCollections, but can also be used to find an object inside this object.

Reimplemented in RooAbsCollection, RooLinkedList, TBtree, TCollection, TDirectory, TFolder, TGeometry, TGraph2D, TGraph, TH1, THashList, THashTable, THbookFile, TList, TListOfDataMembers, TListOfEnums, TListOfEnumsWithLock, TListOfFunctions, TListOfFunctionTemplates, TListOfTypes, TMap, TObjArray, TPad, TROOT, TViewPubDataMembers, and TViewPubFunctions.

Definition at line 435 of file TObject.cxx.

◆ GetDrawOption()

Option_t * TObject::GetDrawOption ( ) const
virtualinherited

Get option used by the graphics system to draw this object.

Note that before calling object.GetDrawOption(), you must have called object.Draw(..) before in the current pad.

Reimplemented in TBrowser, TFitEditor, TGedFrame, TGFileBrowser, TRootBrowser, and TRootBrowserLite.

Definition at line 445 of file TObject.cxx.

◆ GetDtorOnly()

Longptr_t TObject::GetDtorOnly ( )
staticinherited

Return destructor only flag.

Definition at line 1196 of file TObject.cxx.

◆ GetIconName()

const char * TObject::GetIconName ( ) const
virtualinherited

Returns mime type name of object.

Used by the TBrowser (via TGMimeTypes class). Override for class of which you would like to have different icons for objects of the same class.

Reimplemented in ROOT::Experimental::XRooFit::xRooNode, TASImage, TBranch, TBranchElement, TGeoVolume, TGMainFrame, TKey, TMethodBrowsable, TSystemFile, and TVirtualBranchBrowsable.

Definition at line 472 of file TObject.cxx.

◆ GetName()

◆ GetNevents()

Int_t TSPlot::GetNevents ( )
inline

Definition at line 63 of file TSPlot.h.

◆ GetNspecies()

Int_t TSPlot::GetNspecies ( )
inline

Definition at line 64 of file TSPlot.h.

◆ GetObjectInfo()

char * TObject::GetObjectInfo ( Int_t px,
Int_t py ) const
virtualinherited

Returns string containing info about the object at position (px,py).

This method is typically overridden by classes of which the objects can report peculiarities for different positions. Returned string will be re-used (lock in MT environment).

Reimplemented in TASImage, TAxis3D, TColorWheel, TF1, TF2, TFileDrawMap, TGeoNode, TGeoTrack, TGeoVolume, TGL5DDataSet, TGLHistPainter, TGLParametricEquation, TGLTH3Composition, TGraph, TH1, THistPainter, TNode, TPaletteAxis, TParallelCoordVar, and TVirtualHistPainter.

Definition at line 491 of file TObject.cxx.

◆ GetObjectStat()

Bool_t TObject::GetObjectStat ( )
staticinherited

Get status of object stat flag.

Definition at line 1181 of file TObject.cxx.

◆ GetOption()

virtual Option_t * TObject::GetOption ( ) const
inlinevirtualinherited

◆ GetSWeights() [1/2]

void TSPlot::GetSWeights ( Double_t * weights)

Returns the matrix of sweights.

It is assumed that the array passed in the argurment is big enough

Definition at line 503 of file TSPlot.cxx.

◆ GetSWeights() [2/2]

void TSPlot::GetSWeights ( TMatrixD & weights)

Returns the matrix of sweights.

Definition at line 492 of file TSPlot.cxx.

◆ GetSWeightsHist()

TH1D * TSPlot::GetSWeightsHist ( Int_t ixvar,
Int_t ispecies,
Int_t iyexcl = -1 )

The Fill...Hist() methods fill the histograms with the real limits on the variables This method allows to refill the specified histogram with user-set boundaries min and max.

Parameters:

  • type = 1 - histogram of x variable #nvar
  • type = 2 - histogram of y variable #nvar
  • type = 3 - histogram of y_pdf for y #nvar and species #nspecies
  • type = 4 - histogram of x variable #nvar, species #nspecies, WITH sWeights
  • type = 5 - histogram of y variable #nvar, species #nspecies`, WITH sWeights */

void TSPlot::RefillHist(Int_t type, Int_t nvar, Int_t nbins, Double_t min, Double_t max, Int_t nspecies) { if (type<1 || type>5){ Error("RefillHist", "type must lie between 1 and 5"); return; } char name[20]; Int_t j; TH1D hremove; if (type==1){ hremove = (TH1D)fXvarHists.RemoveAt(nvar); delete hremove; snprintf(name,20,"x%d",nvar); TH1D h = new TH1D(name, name, nbins, min, max); for (j=0; j<fNevents;j++) h->Fill(fXvar(j, nvar)); fXvarHists.AddAt(h, nvar); } if (type==2){ hremove = (TH1D)fYvarHists.RemoveAt(nvar); delete hremove; snprintf(name,20, "y%d", nvar); TH1D h = new TH1D(name, name, nbins, min, max); for (j=0; j<fNevents;j++) h->Fill(fYvar(j, nvar)); fXvarHists.AddAt(h, nvar); } if (type==3){ hremove = (TH1D)fYpdfHists.RemoveAt(nspecies*fNy+nvar); delete hremove; snprintf(name,20, "pdf_species%d_y%d", nspecies, nvar); TH1D h=new TH1D(name, name, nbins, min, max); for (j=0; j<fNevents; j++) h->Fill(fYpdf(j, nspecies*fNy+nvar)); fYpdfHists.AddAt(h, nspecies*fNy+nvar); } if (type==4){ hremove = (TH1D)fSWeightsHists.RemoveAt(fNSpecies*nvar+nspecies); delete hremove; snprintf(name,20, "x%d_species%d", nvar, nspecies); TH1D h = new TH1D(name, name, nbins, min, max); h->Sumw2(); for (Int_t ievent=0; ievent<fNevents; ievent++) h->Fill(fXvar(ievent, nvar), fSWeights(ievent, nspecies)); fSWeightsHists.AddAt(h, fNSpecies*nvar+nspecies); } if (type==5){ hremove = (TH1D)fSWeightsHists.RemoveAt(fNx*fNSpecies + fNSpecies*nvar+nspecies); delete hremove; snprintf(name,20, "y%d_species%d", nvar, nspecies); TH1D *h = new TH1D(name, name, nbins, min, max); h->Sumw2(); for (Int_t ievent=0; ievent<fNevents; ievent++) h->Fill(fYvar(ievent, nvar), fSWeights(ievent, nspecies)); fSWeightsHists.AddAt(h, fNx*fNSpecies + fNSpecies*nvar+nspecies); } } /** Returns the histogram of a variable, weighted with sWeights.

  • If histograms have not been already filled, they are filled with default binning 50
  • If parameter ixvar!=-1, the histogram of x-variable ixvar is returned for species ispecies
  • If parameter ixvar==-1, the histogram of y-variable iyexcl is returned for species ispecies
  • If the histogram has already been filled and the binning is different from the parameter nbins all histograms with old binning will be deleted and refilled.

Definition at line 820 of file TSPlot.cxx.

◆ GetSWeightsHists()

TObjArray * TSPlot::GetSWeightsHists ( )

Returns an array of all histograms of variables, weighted with sWeights.

If histograms have not been already filled, they are filled with default binning 50 The order of histograms in the array:

x0_species0, x0_species1,..., x1_species0, x1_species1,..., y0_species0, y0_species1,...

Definition at line 734 of file TSPlot.cxx.

◆ GetTitle()

const char * TObject::GetTitle ( ) const
virtualinherited

Returns title of object.

This default method returns the class title (i.e. description). Classes that give objects a title should override this method.

Reimplemented in Axis2, TASImage, TAxis, TBaseClass, TClassMenuItem, TEveGeoNode, TEvePointSet, TGaxis, TGGroupFrame, TGLabel, TGLVEntry, TGTextButton, TGTextEntry, TGTextLBEntry, TKey, TMapFile, TNamed, TPad, TPair, TParallelCoordSelect, TParticle, TPaveLabel, TPrimary, TQCommand, TRootIconList, and TVirtualPad.

Definition at line 507 of file TObject.cxx.

◆ GetTreeExpression()

TString * TSPlot::GetTreeExpression ( )
inline

Definition at line 78 of file TSPlot.h.

◆ GetTreeName()

TString * TSPlot::GetTreeName ( )
inline

Definition at line 76 of file TSPlot.h.

◆ GetTreeSelection()

TString * TSPlot::GetTreeSelection ( )
inline

Definition at line 77 of file TSPlot.h.

◆ GetUniqueID()

UInt_t TObject::GetUniqueID ( ) const
virtualinherited

Return the unique object id.

Definition at line 480 of file TObject.cxx.

◆ GetXvarHist()

TH1D * TSPlot::GetXvarHist ( Int_t ixvar)

Returns the histogram of variable ixvar.

If histograms have not already been filled, they are filled with default binning 100.

Definition at line 557 of file TSPlot.cxx.

◆ GetXvarHists()

TObjArray * TSPlot::GetXvarHists ( )

Returns the array of histograms of x variables (not weighted).

If histograms have not already been filled, they are filled with default binning 100.

Definition at line 542 of file TSPlot.cxx.

◆ GetYpdfHist()

TH1D * TSPlot::GetYpdfHist ( Int_t iyvar,
Int_t ispecies )

Returns the histogram of the pdf of variable iyvar for species #ispecies, binning nbins.

If histograms have not already been filled, they are filled with default binning 100.

Definition at line 667 of file TSPlot.cxx.

◆ GetYpdfHists()

TObjArray * TSPlot::GetYpdfHists ( )

Returns the array of histograms of pdf's of y variables with binning nbins.

If histograms have not already been filled, they are filled with default binning 100.

Definition at line 653 of file TSPlot.cxx.

◆ GetYvarHist()

TH1D * TSPlot::GetYvarHist ( Int_t iyvar)

Returns the histogram of variable iyvar.If histograms have not already been filled, they are filled with default binning 100.

Definition at line 610 of file TSPlot.cxx.

◆ GetYvarHists()

TObjArray * TSPlot::GetYvarHists ( )

Returns the array of histograms of y variables.

If histograms have not already been filled, they are filled with default binning 100.

Definition at line 596 of file TSPlot.cxx.

◆ HandleTimer()

Bool_t TObject::HandleTimer ( TTimer * timer)
virtualinherited

Execute action in response of a timer timing out.

This method must be overridden if an object has to react to timers.

Reimplemented in TGCommandPlugin, TGDNDManager, TGFileContainer, TGHtml, TGLEventHandler, TGPopupMenu, TGraphTime, TGScrollBar, TGShutter, TGTextEdit, TGTextEditor, TGTextEntry, TGTextView, TGToolTip, TGuiBldDragManager, TGWindow, and TTreeViewer.

Definition at line 516 of file TObject.cxx.

◆ Hash()

ULong_t TObject::Hash ( ) const
virtualinherited

Return hash value for this object.

Note: If this routine is overloaded in a derived class, this derived class should also add

void CallRecursiveRemoveIfNeeded(TObject &obj)
call RecursiveRemove for obj if gROOT is valid and obj.TestBit(kMustCleanup) is true.
Definition TROOT.h:406

Otherwise, when RecursiveRemove is called (by ~TObject or example) for this type of object, the transversal of THashList and THashTable containers will will have to be done without call Hash (and hence be linear rather than logarithmic complexity). You will also see warnings like

Error in <ROOT::Internal::TCheckHashRecursiveRemoveConsistency::CheckRecursiveRemove>: The class SomeName overrides
TObject::Hash but does not call TROOT::RecursiveRemove in its destructor.
virtual void Error(const char *method, const char *msgfmt,...) const
Issue error message.
Definition TObject.cxx:1098
TObject()
TObject constructor.
Definition TObject.h:259
virtual ULong_t Hash() const
Return hash value for this object.
Definition TObject.cxx:539
void RecursiveRemove(TObject *obj) override
Recursively remove this object from the list of Cleanups.
Definition TROOT.cxx:2651

Reimplemented in RooLinkedList, TASImagePlugin, TASPluginGS, TCollection, TEnvRec, TGObject, TGPicture, TIconBoxThumb, TImagePlugin, TNamed, TObjString, TPad, TPair, TParameter< AParamType >, TParameter< Long64_t >, TPave, and TStatistic.

Definition at line 539 of file TObject.cxx.

◆ HasInconsistentHash()

Bool_t TObject::HasInconsistentHash ( ) const
inlineinherited

Return true is the type of this object is known to have an inconsistent setup for Hash and RecursiveRemove (i.e.

missing call to RecursiveRemove in destructor).

Note: Since the consistency is only tested for during inserts, this routine will return true for object that have never been inserted whether or not they have a consistent setup. This has no negative side-effect as searching for the object with the right or wrong Hash will always yield a not-found answer (Since anyway no hash can be guaranteed unique, there is always a check)

Definition at line 366 of file TObject.h.

◆ Info()

void TObject::Info ( const char * location,
const char * fmt,
... ) const
virtualinherited

Issue info message.

Use "location" to specify the method where the warning occurred. Accepts standard printf formatting arguments.

Definition at line 1072 of file TObject.cxx.

◆ InheritsFrom() [1/2]

Bool_t TObject::InheritsFrom ( const char * classname) const
virtualinherited

Returns kTRUE if object inherits from class "classname".

Reimplemented in TClass.

Definition at line 549 of file TObject.cxx.

◆ InheritsFrom() [2/2]

Bool_t TObject::InheritsFrom ( const TClass * cl) const
virtualinherited

Returns kTRUE if object inherits from TClass cl.

Reimplemented in TClass.

Definition at line 557 of file TObject.cxx.

◆ Inspect()

void TObject::Inspect ( ) const
virtualinherited

Dump contents of this object in a graphics canvas.

Same action as Dump but in a graphical form. In addition pointers to other objects can be followed.

The following picture is the Inspect of a histogram object:

Reimplemented in ROOT::Experimental::XRooFit::xRooNode, TGFrame, TInspectorObject, and TSystemFile.

Definition at line 570 of file TObject.cxx.

◆ InvertBit()

void TObject::InvertBit ( UInt_t f)
inlineinherited

Definition at line 206 of file TObject.h.

◆ IsA()

TClass * TSPlot::IsA ( ) const
inlineoverridevirtual
Returns
TClass describing current object

Reimplemented from TObject.

Definition at line 90 of file TSPlot.h.

◆ IsDestructed()

Bool_t TObject::IsDestructed ( ) const
inlineinherited

IsDestructed.

Note
This function must be non-virtual as it can be used on destructed (but not yet modified) memory. This is used for example in TClonesArray to record the element that have been destructed but not deleted and thus are ready for re-use (by operator new with placement).
Returns
true if this object's destructor has been run.

Definition at line 186 of file TObject.h.

◆ IsEqual()

Bool_t TObject::IsEqual ( const TObject * obj) const
virtualinherited

Default equal comparison (objects are equal if they have the same address in memory).

More complicated classes might want to override this function.

Reimplemented in TGObject, TObjString, TPair, and TQCommand.

Definition at line 589 of file TObject.cxx.

◆ IsFolder()

Bool_t TSPlot::IsFolder ( ) const
inlineoverridevirtual

Returns kTRUE in case object contains browsable objects (like containers or lists of other objects).

Reimplemented from TObject.

Definition at line 56 of file TSPlot.h.

◆ IsOnHeap()

Bool_t TObject::IsOnHeap ( ) const
inlineinherited

Definition at line 160 of file TObject.h.

◆ IsSortable()

virtual Bool_t TObject::IsSortable ( ) const
inlinevirtualinherited

◆ IsZombie()

Bool_t TObject::IsZombie ( ) const
inlineinherited

Definition at line 161 of file TObject.h.

◆ ls()

◆ MakeSPlot()

void TSPlot::MakeSPlot ( Option_t * option = "v")

Calculates the sWeights.

The option controls the print level

  • "Q" - no print out
  • "V" - prints the estimated #of events in species - default
  • "VV" - as "V" + the minuit printing + sums of weights for control

Definition at line 391 of file TSPlot.cxx.

◆ MakeZombie()

void TObject::MakeZombie ( )
inlineprotectedinherited

Definition at line 55 of file TObject.h.

◆ MayNotUse()

void TObject::MayNotUse ( const char * method) const
inherited

Use this method to signal that a method (defined in a base class) may not be called in a derived class (in principle against good design since a child class should not provide less functionality than its parent, however, sometimes it is necessary).

Definition at line 1160 of file TObject.cxx.

◆ Notify()

Bool_t TObject::Notify ( )
virtualinherited

This method must be overridden to handle object notification (the base implementation is no-op).

Different objects in ROOT use the Notify method for different purposes, in coordination with other objects that call this method at the appropriate time.

For example, TLeaf uses it to load class information; TBranchRef to load contents of referenced branches TBranchRef; most notably, based on Notify, TChain implements a callback mechanism to inform interested parties when it switches to a new sub-tree.

Reimplemented in h1analysis, h1analysisTreeReader, TARInterruptHandler, TASInputHandler, TASInterruptHandler, TASLogHandler, TASSigPipeHandler, TBlinkTimer, TBranchElement, TBranchRef, TBreakLineCom, TBrowserTimer, TCollection, TDelCharCom, TDelTextCom, TFileHandler, TGContainerKeyboardTimer, TGContainerScrollTimer, TGInputHandler, TGLRedrawTimer, TGTextEditHist, TGuiBldDragManagerRepeatTimer, TIdleTimer, TInsCharCom, TInsTextCom, TInterruptHandler, TLeafObject, TMessageHandler, TNotifyLink< Type >, TNotifyLink< RNoCleanupNotifierHelper >, TNotifyLink< ROOT::Detail::TBranchProxy >, TNotifyLink< TTreeReader >, TPopupDelayTimer, TProcessEventTimer, TRefTable, TRepeatTimer, TSBRepeatTimer, TSelector, TSelectorDraw, TSelectorEntries, TSignalHandler, TSingleShotCleaner, TSocketHandler, TStdExceptionHandler, TSysEvtHandler, TTermInputHandler, TThreadTimer, TTimeOutTimer, TTimer, TTipDelayTimer, TTree, TTreeFormula, TTreeFormulaManager, TTreeReader, TViewTimer, and TViewUpdateTimer.

Definition at line 618 of file TObject.cxx.

◆ Obsolete()

void TObject::Obsolete ( const char * method,
const char * asOfVers,
const char * removedFromVers ) const
inherited

Use this method to declare a method obsolete.

Specify as of which version the method is obsolete and as from which version it will be removed.

Definition at line 1169 of file TObject.cxx.

◆ operator delete() [1/3]

void TObject::operator delete ( void * ptr,
size_t size )
inherited

Operator delete for sized deallocation.

Definition at line 1234 of file TObject.cxx.

◆ operator delete() [2/3]

void TObject::operator delete ( void * ptr)
inherited

Operator delete.

Definition at line 1212 of file TObject.cxx.

◆ operator delete() [3/3]

void TObject::operator delete ( void * ptr,
void * vp )
inherited

Only called by placement new when throwing an exception.

Definition at line 1266 of file TObject.cxx.

◆ operator delete[]() [1/3]

void TObject::operator delete[] ( void * ptr,
size_t size )
inherited

Operator delete [] for sized deallocation.

Definition at line 1245 of file TObject.cxx.

◆ operator delete[]() [2/3]

void TObject::operator delete[] ( void * ptr)
inherited

Operator delete [].

Definition at line 1223 of file TObject.cxx.

◆ operator delete[]() [3/3]

void TObject::operator delete[] ( void * ptr,
void * vp )
inherited

Only called by placement new[] when throwing an exception.

Definition at line 1274 of file TObject.cxx.

◆ operator new() [1/2]

void * TObject::operator new ( size_t sz)
inlineinherited

Definition at line 189 of file TObject.h.

◆ operator new() [2/2]

void * TObject::operator new ( size_t sz,
void * vp )
inlineinherited

Definition at line 191 of file TObject.h.

◆ operator new[]() [1/2]

void * TObject::operator new[] ( size_t sz)
inlineinherited

Definition at line 190 of file TObject.h.

◆ operator new[]() [2/2]

void * TObject::operator new[] ( size_t sz,
void * vp )
inlineinherited

Definition at line 192 of file TObject.h.

◆ Paint()

void TObject::Paint ( Option_t * option = "")
virtualinherited

This method must be overridden if a class wants to paint itself.

The difference between Paint() and Draw() is that when a object draws itself it is added to the display list of the pad in which it is drawn (and automatically redrawn whenever the pad is redrawn). While paint just draws the object without adding it to the pad display list.

Reimplemented in ROOT::Experimental::RTreeMapPainter, ROOT::RGeoPainter, TAnnotation, TArrow, TASImage, TASPaletteEditor::LimitLine, TASPaletteEditor::PaintPalette, TAxis3D, TBits, TBox, TButton, TCanvas, TClassTree, TCollection, TColorWheel, TCrown, TDiamond, TDirectory, TEfficiency, TEllipse, TEveArrow, TEveCaloViz, TEveDigitSet, TEveGeoShape, TEveGeoTopNode, TEvePlot3D, TEvePointSet, TEveProjectionAxes, TEveScene, TEveShape, TEveStraightLineSet, TEveText, TEveTriangleSet, TExec, TF1, TF2, TF3, TFile, TFileDrawMap, TFrame, TGaxis, TGenerator, TGeoBoolNode, TGeoIntersection, TGeoNode, TGeoOverlap, TGeoPainter, TGeoPhysicalNode, TGeoShape, TGeoSubtraction, TGeoTrack, TGeoUnion, TGeoVGShape, TGeoVolume, TGL5DDataSet, TGLHistPainter, TGLParametricEquation, TGLTH3Composition, TGraph2D, TGraph2DPainter, TGraph, TGraphEdge, TGraphNode, TGraphPolargram, TGraphTime, TH1, THistPainter, THStack, TLatex, TLegend, TLine, TMacro, TMarker3DBox, TMarker, TMathText, TMultiGraph, TNode, TNodeDiv, TPad, TPaletteAxis, TParallelCoord, TParallelCoordRange, TParallelCoordVar, TParticle, TPave, TPaveLabel, TPaveStats, TPavesText, TPaveText, TPie, TPolyLine3D, TPolyLine, TPolyMarker3D, TPolyMarker, TPrimary, TRatioPlot, TScatter2D, TScatter, TShape, TSpectrum2Painter, TSpider, TSpline, TSQLFile, TStyle, TText, TTreePerfStats, TVirtualGeoPainter, TVirtualGeoTrack, TVirtualHistPainter, TVirtualPad, TWbox, and TXMLFile.

Definition at line 631 of file TObject.cxx.

◆ Pop()

void TObject::Pop ( )
virtualinherited

Pop on object drawn in a pad to the top of the display list.

I.e. it will be drawn last and on top of all other primitives.

Reimplemented in TFrame, TPad, and TVirtualPad.

Definition at line 640 of file TObject.cxx.

◆ Print()

void TObject::Print ( Option_t * option = "") const
virtualinherited

This method must be overridden when a class wants to print itself.

Reimplemented in Roo1DTable, RooAbsArg, RooAbsBinning, RooAbsCollection, RooAbsData, RooAbsDataStore, RooAbsGenContext, RooCatType, RooCmdArg, RooCurve, RooEllipse, RooFitResult, RooGenFitStudy, RooHist, RooLinkedList, RooMsgService, RooNumGenConfig, RooNumIntConfig, RooPlot, RooSharedProperties, RooStats::ModelConfig, ROOT::Experimental::REveTrans, ROOT::Experimental::XRooFit::xRooNLLVar::xRooHypoPoint, ROOT::Experimental::XRooFit::xRooNLLVar::xRooHypoSpace, ROOT::Experimental::XRooFit::xRooNode, ROOT::v5::TFormula, RooWorkspace, TAnnotation, TApplicationRemote, TAttParticle, TBenchmark, TBits, TBox, TBranch, TBranchClones, TBranchElement, TBranchObject, TBranchRef, TBranchSTL, TChain, TClassTable, TCling, TCollection, TColor, TDatabasePDG, TDecompBase, TDecompBK, TDecompChol, TDecompLU, TDecompQRH, TDecompSparse, TDecompSVD, TDirectory, TEllipse, TEnv, TEventList, TEveTrans, TF1, TFile, TFileCacheRead, TFileCacheWrite, TFileCollection, TFileInfo, TFileInfoMeta, TFitResult, TFoamCell, TFoamVect, TFormula, TFunction, TGCompositeFrame, TGDMLMatrix, TGeoBatemanSol, TGeoBorderSurface, TGeoBranchArray, TGeoDecayChannel, TGeoElement, TGeoElementRN, TGeoElementTable, TGeoIsotope, TGeoMatrix, TGeoOpticalSurface, TGeoOverlap, TGeoPhysicalNode, TGeoRegion, TGeoSkinSurface, TGeoTessellated, TGeoTrack, TGeoVolume, TGeoVoxelFinder, TGFont, TGFontPool, TGFrame, TGFrameElement, TGGC, TGGCPool, TGLayoutHints, TGMimeTypes, TGPicture, TGPicturePool, TGraph2D, TGraph2DAsymmErrors, TGraph2DErrors, TGraph, TGraphAsymmErrors, TGraphBentErrors, TGraphErrors, TGraphMultiErrors, TGTextEdit, TGWindow, TH1, THashTable, THbookTree, THelix, THnBase, THStack, TInetAddress, TKey, TLegend, TLegendEntry, TLine, TLorentzVector, TMacro, TMapFile, TMarker, TMatrixTBase< Element >, TMatrixTBase< Double_t >, TMatrixTBase< Float_t >, TMemFile, TMessageHandler, TMultiDimFit, TMultiGraph, TMVA::Event, TMVA::Option< T >, TMVA::Option< T * >, TMVA::OptionBase, TMVA::PDEFoamCell, TMVA::PDEFoamVect, TMVA::TNeuron, TNamed, TObjectTable, TObjString, TPad, TParallelCoordRange, TParallelCoordVar, TParameter< AParamType >, TParameter< Long64_t >, TParticle, TParticleClassPDG, TParticlePDG, TPave, TPaveText, TPluginHandler, TPluginManager, TPolyLine3D, TPolyLine, TPolyMarker3D, TPolyMarker, TPrimary, TPrincipal, TQpDataDens, TQpDataSparse, TQpVar, TQSlot, TQuaternion, TRolke, TRootBrowserHistoryCursor, TScatter2D, TScatter, TSpectrum2, TSpectrum3, TSpectrum, TSQLColumnInfo, TSQLFile, TSQLStructure, TSQLTableInfo, TStatistic, TStopwatch, TStreamerInfoActions::TActionSequence, TText, TTree, TTreeCache, TTreeCacheUnzip, TTreeIndex, TTreePerfStats, TUri, TUrl, TVector2, TVector3, TVectorT< Element >, TVectorT< Double_t >, TVectorT< Float_t >, TVirtualPad, TXMLFile, TXTRU, TZIPFile, and TZIPMember.

Definition at line 661 of file TObject.cxx.

◆ Read()

Int_t TObject::Read ( const char * name)
virtualinherited

Read contents of object with specified name from the current directory.

First the key with the given name is searched in the current directory, next the key buffer is deserialized into the object. The object must have been created before via the default constructor. See TObject::Write().

Reimplemented in TBuffer, TKey, TKeySQL, and TKeyXML.

Definition at line 673 of file TObject.cxx.

◆ RecursiveRemove()

◆ RefillHist()

void TSPlot::RefillHist ( Int_t type,
Int_t var,
Int_t nbins,
Double_t min,
Double_t max,
Int_t nspecies = -1 )

◆ ResetBit()

void TObject::ResetBit ( UInt_t f)
inlineinherited

Definition at line 203 of file TObject.h.

◆ SaveAs()

void TObject::SaveAs ( const char * filename = "",
Option_t * option = "" ) const
virtualinherited

Save this object in the file specified by filename.

  • if "filename" contains ".root" the object is saved in filename as root binary file.
  • if "filename" contains ".xml" the object is saved in filename as a xml ascii file.
  • if "filename" contains ".cc" the object is saved in filename as C code independent from ROOT. The code is generated via SavePrimitive(). Specific code should be implemented in each object to handle this option. Like in TF1::SavePrimitive().
  • otherwise the object is written to filename as a CINT/C++ script. The C++ code to rebuild this object is generated via SavePrimitive(). The "option" parameter is passed to SavePrimitive. By default it is an empty string. It can be used to specify the Draw option in the code generated by SavePrimitive.

    The function is available via the object context menu.

Reimplemented in ROOT::Experimental::XRooFit::xRooNode, TClassTree, TFolder, TGeoVolume, TGObject, TGraph, TH1, TPad, TPaveClass, TSpline3, TSpline5, TSpline, TTreePerfStats, and TVirtualPad.

Definition at line 708 of file TObject.cxx.

◆ SavePrimitive()

void TObject::SavePrimitive ( std::ostream & out,
Option_t * option = "" )
virtualinherited

Save a primitive as a C++ statement(s) on output stream "out".

Reimplemented in TAnnotation, TArc, TArrow, TASImage, TAxis3D, TBox, TButton, TCanvas, TChain, TCrown, TCurlyArc, TCurlyLine, TCutG, TDiamond, TEfficiency, TEllipse, TExec, TF12, TF1, TF2, TF3, TFrame, TGaxis, TGButton, TGButtonGroup, TGCanvas, TGCheckButton, TGColorSelect, TGColumnLayout, TGComboBox, TGCompositeFrame, TGContainer, TGDockableFrame, TGDoubleHSlider, TGDoubleVSlider, TGedMarkerSelect, TGedPatternSelect, TGeoArb8, TGeoBBox, TGeoBoolNode, TGeoCombiTrans, TGeoCompositeShape, TGeoCone, TGeoConeSeg, TGeoCtub, TGeoDecayChannel, TGeoElementRN, TGeoEltu, TGeoGtra, TGeoHalfSpace, TGeoHMatrix, TGeoHype, TGeoIdentity, TGeoIntersection, TGeoMaterial, TGeoMedium, TGeoMixture, TGeoPara, TGeoParaboloid, TGeoPatternCylPhi, TGeoPatternCylR, TGeoPatternParaX, TGeoPatternParaY, TGeoPatternParaZ, TGeoPatternSphPhi, TGeoPatternSphR, TGeoPatternSphTheta, TGeoPatternTrapZ, TGeoPatternX, TGeoPatternY, TGeoPatternZ, TGeoPcon, TGeoPgon, TGeoRotation, TGeoScaledShape, TGeoShapeAssembly, TGeoSphere, TGeoSubtraction, TGeoTessellated, TGeoTorus, TGeoTranslation, TGeoTrap, TGeoTrd1, TGeoTrd2, TGeoTube, TGeoTubeSeg, TGeoUnion, TGeoVolume, TGeoXtru, TGFileContainer, TGFont, TGFrame, TGFSComboBox, TGGC, TGGroupFrame, TGHButtonGroup, TGHorizontal3DLine, TGHorizontalFrame, TGHorizontalLayout, TGHProgressBar, TGHScrollBar, TGHSlider, TGHSplitter, TGHtml, TGIcon, TGLabel, TGLayoutHints, TGLineStyleComboBox, TGLineWidthComboBox, TGListBox, TGListDetailsLayout, TGListLayout, TGListTree, TGListView, TGLVContainer, TGMainFrame, TGMatrixLayout, TGMdiFrame, TGMdiMainFrame, TGMdiMenuBar, TGMenuBar, TGMenuTitle, TGNumberEntry, TGNumberEntryField, TGPictureButton, TGPopupMenu, TGProgressBar, TGRadioButton, TGraph2D, TGraph2DAsymmErrors, TGraph2DErrors, TGraph, TGraphAsymmErrors, TGraphBentErrors, TGraphEdge, TGraphErrors, TGraphMultiErrors, TGraphNode, TGraphPolar, TGraphPolargram, TGraphStruct, TGroupButton, TGRowLayout, TGShapedFrame, TGShutter, TGShutterItem, TGSplitFrame, TGStatusBar, TGTab, TGTabLayout, TGTableLayout, TGTableLayoutHints, TGTextButton, TGTextEdit, TGTextEntry, TGTextLBEntry, TGTextView, TGTileLayout, TGToolBar, TGTransientFrame, TGTripleHSlider, TGTripleVSlider, TGVButtonGroup, TGVertical3DLine, TGVerticalFrame, TGVerticalLayout, TGVFileSplitter, TGVProgressBar, TGVScrollBar, TGVSlider, TGVSplitter, TGXYLayout, TGXYLayoutHints, TH1, TH2Poly, THelix, THStack, TLatex, TLegend, TLine, TMacro, TMarker3DBox, TMarker, TMathText, TMultiGraph, TPad, TPaletteAxis, TParallelCoord, TParallelCoordVar, TPave, TPaveClass, TPaveLabel, TPaveStats, TPavesText, TPaveText, TPie, TPieSlice, TPolyLine3D, TPolyLine, TPolyMarker3D, TPolyMarker, TProfile2D, TProfile3D, TProfile, TRootContainer, TRootEmbeddedCanvas, TScatter2D, TScatter, TSlider, TSliderBox, TSpline3, TSpline5, TStyle, TText, TTreePerfStats, and TWbox.

Definition at line 858 of file TObject.cxx.

◆ SavePrimitiveConstructor()

void TObject::SavePrimitiveConstructor ( std::ostream & out,
TClass * cl,
const char * variable_name,
const char * constructor_agrs = "",
Bool_t empty_line = kTRUE )
staticprotectedinherited

Save object constructor in the output stream "out".

Can be used as first statement when implementing SavePrimitive() method for the object

Definition at line 777 of file TObject.cxx.

◆ SavePrimitiveDraw()

void TObject::SavePrimitiveDraw ( std::ostream & out,
const char * variable_name,
Option_t * option = nullptr )
staticprotectedinherited

Save invocation of primitive Draw() method Skipped if option contains "nodraw" string.

Definition at line 845 of file TObject.cxx.

◆ SavePrimitiveVector()

TString TObject::SavePrimitiveVector ( std::ostream & out,
const char * prefix,
Int_t len,
Double_t * arr,
Int_t flag = 0 )
staticprotectedinherited

Save array in the output stream "out" as vector.

Create unique variable name based on prefix value Returns name of vector which can be used in constructor or in other places of C++ code If flag === kTRUE, just add empty line If flag === 111, check if array is empty and return nullptr or <vectorname>.data()

Definition at line 796 of file TObject.cxx.

◆ SetBit() [1/2]

void TObject::SetBit ( UInt_t f)
inlineinherited

Definition at line 202 of file TObject.h.

◆ SetBit() [2/2]

void TObject::SetBit ( UInt_t f,
Bool_t set )
inherited

Set or unset the user status bits as specified in f.

Definition at line 888 of file TObject.cxx.

◆ SetDrawOption()

void TObject::SetDrawOption ( Option_t * option = "")
virtualinherited

Set drawing option for object.

This option only affects the drawing style and is stored in the option field of the TObjOptLink supporting a TPad's primitive list (TList). Note that it does not make sense to call object.SetDrawOption(option) before having called object.Draw().

Reimplemented in RooPlot, TAxis, TBrowser, TGedFrame, TGFrame, TPad, TPaveStats, TRootBrowserLite, TSystemDirectory, and TSystemFile.

Definition at line 871 of file TObject.cxx.

◆ SetDtorOnly()

void TObject::SetDtorOnly ( void * obj)
staticinherited

Set destructor only flag.

Definition at line 1204 of file TObject.cxx.

◆ SetInitialNumbersOfSpecies()

void TSPlot::SetInitialNumbersOfSpecies ( Int_t * numbers)

Set the initial number of events of each species - used as initial estimates in minuit.

Definition at line 375 of file TSPlot.cxx.

◆ SetNEvents()

void TSPlot::SetNEvents ( Int_t ne)
inline

Definition at line 85 of file TSPlot.h.

◆ SetNSpecies()

void TSPlot::SetNSpecies ( Int_t ns)
inline

Definition at line 84 of file TSPlot.h.

◆ SetNX()

void TSPlot::SetNX ( Int_t nx)
inline

Definition at line 82 of file TSPlot.h.

◆ SetNY()

void TSPlot::SetNY ( Int_t ny)
inline

Definition at line 83 of file TSPlot.h.

◆ SetObjectStat()

void TObject::SetObjectStat ( Bool_t stat)
staticinherited

Turn on/off tracking of objects in the TObjectTable.

Definition at line 1188 of file TObject.cxx.

◆ SetTree()

void TSPlot::SetTree ( TTree * tree)

Set the input Tree.

Definition at line 838 of file TSPlot.cxx.

◆ SetTreeSelection()

void TSPlot::SetTreeSelection ( const char * varexp = "",
const char * selection = "",
Long64_t firstentry = 0 )

Specifies the variables from the tree to be used for splot.

Variables fNx, fNy, fNSpecies and fNEvents should already be set!

In the 1st parameter it is assumed that first fNx variables are x(control variables), then fNy y variables (discriminating variables), then fNy*fNSpecies ypdf variables (probability distribution functions of discriminating variables for different species). The order of pdfs should be: species0_y0, species0_y1,... species1_y0, species1_y1,...species[fNSpecies-1]_y0... The 2nd parameter allows to make a cut TTree::Draw method description contains more details on specifying expression and selection

Definition at line 856 of file TSPlot.cxx.

◆ SetUniqueID()

void TObject::SetUniqueID ( UInt_t uid)
virtualinherited

Set the unique object id.

Definition at line 899 of file TObject.cxx.

◆ SPlots()

void TSPlot::SPlots ( Double_t * covmat,
Int_t i_excl )
protected

Computes the sWeights from the covariance matrix.

Definition at line 471 of file TSPlot.cxx.

◆ Streamer()

void TSPlot::Streamer ( TBuffer & R__b)
overridevirtual

Stream an object of class TObject.

Reimplemented from TObject.

◆ StreamerNVirtual()

void TSPlot::StreamerNVirtual ( TBuffer & ClassDef_StreamerNVirtual_b)
inline

Definition at line 90 of file TSPlot.h.

◆ SysError()

void TObject::SysError ( const char * location,
const char * fmt,
... ) const
virtualinherited

Issue system error message.

Use "location" to specify the method where the system error occurred. Accepts standard printf formatting arguments.

Definition at line 1112 of file TObject.cxx.

◆ TestBit()

Bool_t TObject::TestBit ( UInt_t f) const
inlineinherited

Definition at line 204 of file TObject.h.

◆ TestBits()

Int_t TObject::TestBits ( UInt_t f) const
inlineinherited

Definition at line 205 of file TObject.h.

◆ UseCurrentStyle()

void TObject::UseCurrentStyle ( )
virtualinherited

Set current style settings in this object This function is called when either TCanvas::UseCurrentStyle or TROOT::ForceStyle have been invoked.

Reimplemented in TAxis3D, TCanvas, TFrame, TGraph, TH1, TPad, TPaveStats, TPaveText, and TTree.

Definition at line 909 of file TObject.cxx.

◆ Warning()

void TObject::Warning ( const char * location,
const char * fmt,
... ) const
virtualinherited

Issue warning message.

Use "location" to specify the method where the warning occurred. Accepts standard printf formatting arguments.

Definition at line 1084 of file TObject.cxx.

◆ Write() [1/2]

Int_t TObject::Write ( const char * name = nullptr,
Int_t option = 0,
Int_t bufsize = 0 )
virtualinherited

Write this object to the current directory.

For more see the const version of this method.

Reimplemented in ROOT::TBufferMergerFile, TBuffer, TCollection, TDirectory, TDirectoryFile, TFile, TMap, TParallelMergingFile, TSQLFile, TTree, and TXMLFile.

Definition at line 989 of file TObject.cxx.

◆ Write() [2/2]

Int_t TObject::Write ( const char * name = nullptr,
Int_t option = 0,
Int_t bufsize = 0 ) const
virtualinherited

Write this object to the current directory.

The data structure corresponding to this object is serialized. The corresponding buffer is written to the current directory with an associated key with name "name".

Writing an object to a file involves the following steps:

  • Creation of a support TKey object in the current directory. The TKey object creates a TBuffer object.
  • The TBuffer object is filled via the class::Streamer function.
  • If the file is compressed (default) a second buffer is created to hold the compressed buffer.
  • Reservation of the corresponding space in the file by looking in the TFree list of free blocks of the file.
  • The buffer is written to the file.

Bufsize can be given to force a given buffer size to write this object. By default, the buffersize will be taken from the average buffer size of all objects written to the current file so far.

If a name is specified, it will be the name of the key. If name is not given, the name of the key will be the name as returned by GetName().

The option can be a combination of: kSingleKey, kOverwrite or kWriteDelete Using the kOverwrite option a previous key with the same name is overwritten. The previous key is deleted before writing the new object. Using the kWriteDelete option a previous key with the same name is deleted only after the new object has been written. This option is safer than kOverwrite but it is slower. NOTE: Neither kOverwrite nor kWriteDelete reduces the size of a TFile– the space is simply freed up to be overwritten; in the case of a TTree, it is more complicated. If one opens a TTree, appends some entries, then writes it out, the behaviour is effectively the same. If, however, one creates a new TTree and writes it out in this way, only the metadata is replaced, effectively making the old data invisible without deleting it. TTree::Delete() can be used to mark all disk space occupied by a TTree as free before overwriting its metadata this way. The kSingleKey option is only used by TCollection::Write() to write a container with a single key instead of each object in the container with its own key.

An object is read from the file into memory via TKey::Read() or via TObject::Read().

The function returns the total number of bytes written to the file. It returns 0 if the object cannot be written.

Reimplemented in TBuffer, TCollection, TDirectory, TDirectoryFile, TFile, TMap, TParallelMergingFile, TSQLFile, TTree, and TXMLFile.

Definition at line 964 of file TObject.cxx.

Member Data Documentation

◆ fBits

UInt_t TObject::fBits
privateinherited

bit field status word

Definition at line 47 of file TObject.h.

◆ fgDtorOnly

Longptr_t TObject::fgDtorOnly = 0
staticprivateinherited

object for which to call dtor only (i.e. no delete)

Definition at line 49 of file TObject.h.

◆ fgObjectStat

Bool_t TObject::fgObjectStat = kTRUE
staticprivateinherited

if true keep track of objects in TObjectTable

Definition at line 50 of file TObject.h.

◆ fMinmax

TMatrixD TSPlot::fMinmax
protected

Definition at line 27 of file TSPlot.h.

◆ fNevents

Int_t TSPlot::fNevents
protected

Definition at line 44 of file TSPlot.h.

◆ fNSpecies

Int_t TSPlot::fNSpecies
protected

Definition at line 43 of file TSPlot.h.

◆ fNumbersOfEvents

Double_t* TSPlot::fNumbersOfEvents
protected

Definition at line 46 of file TSPlot.h.

◆ fNx

Int_t TSPlot::fNx
protected

Definition at line 41 of file TSPlot.h.

◆ fNy

Int_t TSPlot::fNy
protected

Definition at line 42 of file TSPlot.h.

◆ fPdfTot

TMatrixD TSPlot::fPdfTot
protected

!

Definition at line 26 of file TSPlot.h.

◆ fSelection

TString* TSPlot::fSelection = nullptr
protected

Definition at line 38 of file TSPlot.h.

◆ fSWeights

TMatrixD TSPlot::fSWeights
protected

Definition at line 28 of file TSPlot.h.

◆ fSWeightsHists

TObjArray TSPlot::fSWeightsHists
protected

Definition at line 33 of file TSPlot.h.

◆ fTree

TTree* TSPlot::fTree = nullptr
protected

!

Definition at line 35 of file TSPlot.h.

◆ fTreename

TString* TSPlot::fTreename = nullptr
protected

Definition at line 36 of file TSPlot.h.

◆ fUniqueID

UInt_t TObject::fUniqueID
privateinherited

object unique identifier

Definition at line 46 of file TObject.h.

◆ fVarexp

TString* TSPlot::fVarexp = nullptr
protected

Definition at line 37 of file TSPlot.h.

◆ fXvar

TMatrixD TSPlot::fXvar
protected

!

Definition at line 23 of file TSPlot.h.

◆ fXvarHists

TObjArray TSPlot::fXvarHists
protected

Definition at line 30 of file TSPlot.h.

◆ fYpdf

TMatrixD TSPlot::fYpdf
protected

!

Definition at line 25 of file TSPlot.h.

◆ fYpdfHists

TObjArray TSPlot::fYpdfHists
protected

Definition at line 32 of file TSPlot.h.

◆ fYvar

TMatrixD TSPlot::fYvar
protected

!

Definition at line 24 of file TSPlot.h.

◆ fYvarHists

TObjArray TSPlot::fYvarHists
protected

Definition at line 31 of file TSPlot.h.


The documentation for this class was generated from the following files: