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class TTreePlayer: public TVirtualTreePlayer


 TTreePlayer

 Implement some of the functionality of the class TTree requiring access to
 extra libraries (Histogram, display, etc).

Function Members (Methods)

public:
TTreePlayer()
virtual~TTreePlayer()
voidTObject::AbstractMethod(const char* method) const
virtual voidTObject::AppendPad(Option_t* option = "")
virtual voidTObject::Browse(TBrowser* b)
virtual TVirtualIndex*BuildIndex(const TTree* T, const char* majorname, const char* minorname)
static TClass*Class()
virtual const char*TObject::ClassName() const
virtual voidTObject::Clear(Option_t* = "")
virtual TObject*TObject::Clone(const char* newname = "") const
virtual Int_tTObject::Compare(const TObject* obj) const
virtual voidTObject::Copy(TObject& object) const
virtual TTree*CopyTree(const char* selection, Option_t* option, Long64_t nentries, Long64_t firstentry)
virtual voidTObject::Delete(Option_t* option = "")MENU
virtual Int_tTObject::DistancetoPrimitive(Int_t px, Int_t py)
virtual voidTObject::Draw(Option_t* option = "")
virtual voidTObject::DrawClass() constMENU
virtual TObject*TObject::DrawClone(Option_t* option = "") constMENU
virtual Long64_tDrawScript(const char* wrapperPrefix, const char* macrofilename, const char* cutfilename, Option_t* option, Long64_t nentries, Long64_t firstentry)
virtual Long64_tDrawSelect(const char* varexp, const char* selection, Option_t* option, Long64_t nentries, Long64_t firstentry)
virtual voidTObject::Dump() constMENU
virtual voidTObject::Error(const char* method, const char* msgfmt) const
virtual voidTObject::Execute(const char* method, const char* params, Int_t* error = 0)
virtual voidTObject::Execute(TMethod* method, TObjArray* params, Int_t* error = 0)
virtual voidTObject::ExecuteEvent(Int_t event, Int_t px, Int_t py)
virtual voidTObject::Fatal(const char* method, const char* msgfmt) const
virtual TObject*TObject::FindObject(const char* name) const
virtual TObject*TObject::FindObject(const TObject* obj) const
virtual Int_tFit(const char* formula, const char* varexp, const char* selection, Option_t* option, Option_t* goption, Long64_t nentries, Long64_t firstentry)
static TVirtualTreePlayer*TVirtualTreePlayer::GetCurrentPlayer()
virtual Int_tGetDimension() const
virtual Option_t*TObject::GetDrawOption() const
static Long_tTObject::GetDtorOnly()
virtual Long64_tGetEntries(const char* selection)
virtual Long64_tGetEntriesToProcess(Long64_t firstentry, Long64_t nentries) const
virtual TH1*GetHistogram() const
virtual const char*TObject::GetIconName() const
virtual const char*TObject::GetName() const
virtual Int_tGetNfill() const
virtual char*TObject::GetObjectInfo(Int_t px, Int_t py) const
static Bool_tTObject::GetObjectStat()
virtual Option_t*TObject::GetOption() const
const char*GetScanFileName() const
virtual TTreeFormula*GetSelect() const
virtual Long64_tGetSelectedRows() const
TSelector*GetSelector() const
TSelector*GetSelectorFromFile() const
virtual const char*TObject::GetTitle() const
virtual UInt_tTObject::GetUniqueID() const
virtual Double_t*GetV1() const
virtual Double_t*GetV2() const
virtual Double_t*GetV3() const
virtual Double_t*GetV4() const
virtual Double_t*GetVal(Int_t i) const
virtual TTreeFormula*GetVar(Int_t i) const
virtual TTreeFormula*GetVar1() const
virtual TTreeFormula*GetVar2() const
virtual TTreeFormula*GetVar3() const
virtual TTreeFormula*GetVar4() const
virtual Double_t*GetW() const
virtual Bool_tTObject::HandleTimer(TTimer* timer)
virtual ULong_tTObject::Hash() const
virtual voidTObject::Info(const char* method, const char* msgfmt) const
virtual Bool_tTObject::InheritsFrom(const char* classname) const
virtual Bool_tTObject::InheritsFrom(const TClass* cl) const
virtual voidTObject::Inspect() constMENU
voidTObject::InvertBit(UInt_t f)
virtual TClass*IsA() const
virtual Bool_tTObject::IsEqual(const TObject* obj) const
virtual Bool_tTObject::IsFolder() const
Bool_tTObject::IsOnHeap() const
virtual Bool_tTObject::IsSortable() const
Bool_tTObject::IsZombie() const
virtual voidTObject::ls(Option_t* option = "") const
virtual Int_tMakeClass(const char* classname, Option_t* option)
virtual Int_tMakeCode(const char* filename)
virtual Int_tMakeProxy(const char* classname, const char* macrofilename = 0, const char* cutfilename = 0, const char* option = 0, Int_t maxUnrolling = 3)
voidTObject::MayNotUse(const char* method) const
virtual Bool_tTObject::Notify()
voidTObject::Obsolete(const char* method, const char* asOfVers, const char* removedFromVers) const
static voidTObject::operator delete(void* ptr)
static voidTObject::operator delete(void* ptr, void* vp)
static voidTObject::operator delete[](void* ptr)
static voidTObject::operator delete[](void* ptr, void* vp)
void*TObject::operator new(size_t sz)
void*TObject::operator new(size_t sz, void* vp)
void*TObject::operator new[](size_t sz)
void*TObject::operator new[](size_t sz, void* vp)
virtual voidTObject::Paint(Option_t* option = "")
virtual voidTObject::Pop()
virtual TPrincipal*Principal(const char* varexp, const char* selection, Option_t* option, Long64_t nentries, Long64_t firstentry)
virtual voidTObject::Print(Option_t* option = "") const
virtual Long64_tProcess(const char* filename, Option_t* option, Long64_t nentries, Long64_t firstentry)
virtual Long64_tProcess(TSelector* selector, Option_t* option, Long64_t nentries, Long64_t firstentry)
virtual TSQLResult*Query(const char* varexp, const char* selection, Option_t* option, Long64_t nentries, Long64_t firstentry)
virtual Int_tTObject::Read(const char* name)
virtual voidRecursiveRemove(TObject* obj)
voidTObject::ResetBit(UInt_t f)
virtual voidTObject::SaveAs(const char* filename = "", Option_t* option = "") constMENU
virtual voidTObject::SavePrimitive(ostream& out, Option_t* option = "")
virtual Long64_tScan(const char* varexp, const char* selection, Option_t* option, Long64_t nentries, Long64_t firstentry)
Bool_tScanRedirected()
voidTObject::SetBit(UInt_t f)
voidTObject::SetBit(UInt_t f, Bool_t set)
virtual voidTObject::SetDrawOption(Option_t* option = "")MENU
static voidTObject::SetDtorOnly(void* obj)
virtual voidSetEstimate(Long64_t n)
static voidTObject::SetObjectStat(Bool_t stat)
static voidTVirtualTreePlayer::SetPlayer(const char* player)
voidSetScanFileName(const char* name)
voidSetScanRedirect(Bool_t on = kFALSE)
virtual voidSetTree(TTree* t)
virtual voidTObject::SetUniqueID(UInt_t uid)
virtual voidShowMembers(TMemberInspector&)
virtual voidStartViewer(Int_t ww, Int_t wh)
virtual voidStreamer(TBuffer&)
voidStreamerNVirtual(TBuffer& ClassDef_StreamerNVirtual_b)
virtual voidTObject::SysError(const char* method, const char* msgfmt) const
Bool_tTObject::TestBit(UInt_t f) const
Int_tTObject::TestBits(UInt_t f) const
static TVirtualTreePlayer*TVirtualTreePlayer::TreePlayer(TTree* obj)
virtual Int_tUnbinnedFit(const char* formula, const char* varexp, const char* selection, Option_t* option, Long64_t nentries, Long64_t firstentry)
virtual voidUpdateFormulaLeaves()
virtual voidTObject::UseCurrentStyle()
virtual voidTObject::Warning(const char* method, const char* msgfmt) const
virtual Int_tTObject::Write(const char* name = 0, Int_t option = 0, Int_t bufsize = 0)
virtual Int_tTObject::Write(const char* name = 0, Int_t option = 0, Int_t bufsize = 0) const
protected:
voidDeleteSelectorFromFile()
virtual voidTObject::DoError(int level, const char* location, const char* fmt, va_list va) const
const char*GetNameByIndex(TString& varexp, Int_t* index, Int_t colindex)
voidTObject::MakeZombie()
voidTakeAction(Int_t nfill, Int_t& npoints, Int_t& action, TObject* obj, Option_t* option)
voidTakeEstimate(Int_t nfill, Int_t& npoints, Int_t action, TObject* obj, Option_t* option)

Data Members

protected:
Int_tfDimensionDimension of the current expression
TList*fFormulaList! Pointer to a list of coordinated list TTreeFormula (used by Scan and Query)
TH1*fHistogram! Pointer to histogram used for the projection
TList*fInput! input list to the selector
const char*fScanFileNameName of the file where Scan is redirected
Bool_tfScanRedirectSwitch to redirect TTree::Scan output to a file
Long64_tfSelectedRowsNumber of selected entries
TSelectorDraw*fSelector! Pointer to current selector
TClass*fSelectorClass! Pointer to the actual class of the TSelectorFromFile
TSelector*fSelectorFromFile! Pointer to a user defined selector created by this TTreePlayer object
TSelector*fSelectorUpdate! Set to the selector address when it's entry list needs to be updated by the UpdateFormulaLeaves function
TTree*fTree! Pointer to current Tree

Class Charts

Inheritance Inherited Members Includes Libraries
Class Charts

Function documentation

TTreePlayer()
Default Tree constructor*-*-*-
*-*                  ========================
~TTreePlayer()
Tree destructor*-*-*-*-
*-*                  =================
TVirtualIndex * BuildIndex(const TTree* T, const char* majorname, const char* minorname)
 Build the index for the tree (see TTree::BuildIndex)
TTree * CopyTree(const char* selection, Option_t* option, Long64_t nentries, Long64_t firstentry)
 copy a Tree with selection
 make a clone of this Tree header.
 then copy the selected entries

 selection is a standard selection expression (see TTreePlayer::Draw)
 option is reserved for possible future use
 nentries is the number of entries to process (default is all)
 first is the first entry to process (default is 0)

 IMPORTANT: The copied tree stays connected with this tree until this tree
            is deleted.  In particular, any changes in branch addresses
            in this tree are forwarded to the clone trees.  Any changes
            made to the branch addresses of the copied trees are over-ridden
            anytime this tree changes its branch addresses.
            Once this tree is deleted, all the addresses of the copied tree
            are reset to their default values.

 The following example illustrates how to copy some events from the Tree
 generated in $ROOTSYS/test/Event

   gSystem->Load("libEvent");
   TFile f("Event.root");
   TTree *T = (TTree*)f.Get("T");
   Event *event = new Event();
   T->SetBranchAddress("event",&event);
   TFile f2("Event2.root","recreate");
   TTree *T2 = T->CopyTree("fNtrack<595");
   T2->Write();
void DeleteSelectorFromFile()
 Delete any selector created by this object.
 The selector has been created using TSelector::GetSelector(file)
Long64_t DrawScript(const char* wrapperPrefix, const char* macrofilename, const char* cutfilename, Option_t* option, Long64_t nentries, Long64_t firstentry)
 Draw the result of a C++ script.

 The macrofilename and optionally cutfilename are assumed to contain
 at least a method with the same name as the file.  The method
 should return a value that can be automatically cast to
 respectively a double and a boolean.

 Both methods will be executed in a context such that the
 branch names can be used as C++ variables. This is
 accomplished by generating a TTreeProxy (see MakeProxy)
 and including the files in the proper location.

 If the branch name can not be used a proper C++ symbol name,
 it will be modified as follow:
    - white spaces are removed
    - if the leading character is not a letter, an underscore is inserted
    - < and > are replace by underscores
    - * is replaced by st
    - & is replaced by rf

 If a cutfilename is specified, for each entry, we execute
   if (cutfilename()) htemp->Fill(macrofilename());
 If no cutfilename is specified, for each entry we execute
   htemp(macrofilename());

 The default for the histogram are the same as for
 TTreePlayer::DrawSelect
Long64_t DrawSelect(const char* varexp, const char* selection, Option_t* option, Long64_t nentries, Long64_t firstentry)
 Draw expression varexp for specified entries that matches the selection.
 Returns -1 in case of error or number of selected events in case of succss.

 See the documentation of TTree::Draw for the complete details.
Int_t Fit(const char* formula, const char* varexp, const char* selection, Option_t* option, Option_t* goption, Long64_t nentries, Long64_t firstentry)
 Fit  a projected item(s) from a Tree.
 Returns -1 in case of error or number of selected events in case of success.

  The formula is a TF1 expression.

  See TTree::Draw for explanations of the other parameters.

  By default the temporary histogram created is called htemp.
  If varexp contains >>hnew , the new histogram created is called hnew
  and it is kept in the current directory.
  Example:
    tree.Fit("pol4","sqrt(x)>>hsqrt","y>0")
    will fit sqrt(x) and save the histogram as "hsqrt" in the current
    directory.

   Return status

 The function returns the status of the histogram fit (see TH1::Fit)
 If no entries were selected, the function returns -1;
   (i.e. fitResult is null if the fit is OK)
Long64_t GetEntries(const char* selection)
 Return the number of entries matching the selection.
 Return -1 in case of errors.

 If the selection uses any arrays or containers, we return the number
 of entries where at least one element match the selection.
 GetEntries is implemented using the selector class TSelectorEntries,
 which can be used directly (see code in TTreePlayer::GetEntries) for
 additional option.
 If SetEventList was used on the TTree or TChain, only that subset
 of entries will be considered.
Long64_t GetEntriesToProcess(Long64_t firstentry, Long64_t nentries) const
 return the number of entries to be processed
 this function checks that nentries is not bigger than the number
 of entries in the Tree or in the associated TEventlist
const char * GetNameByIndex(TString& varexp, Int_t* index, Int_t colindex)
-*-*-*Return name corresponding to colindex in varexp
*-*              ===============================================

   varexp is a string of names separated by :
   index is an array with pointers to the start of name[i] in varexp

Int_t MakeClass(const char* classname, Option_t* option)
 Generate skeleton analysis class for this Tree.

 The following files are produced: classname.h and classname.C
 If classname is 0, classname will be called "nameoftree.

 The generated code in classname.h includes the following:
    - Identification of the original Tree and Input file name
    - Definition of analysis class (data and functions)
    - the following class functions:
       - constructor (connecting by default the Tree file)
       - GetEntry(Long64_t entry)
       - Init(TTree *tree) to initialize a new TTree
       - Show(Long64_t entry) to read and Dump entry

 The generated code in classname.C includes only the main
 analysis function Loop.

 To use this function:
    - connect your Tree file (eg: TFile f("myfile.root");)
    - T->MakeClass("MyClass");
 where T is the name of the Tree in file myfile.root
 and MyClass.h, MyClass.C the name of the files created by this function.
 In a ROOT session, you can do:
    root> .L MyClass.C
    root> MyClass t
    root> t.GetEntry(12); // Fill t data members with entry number 12
    root> t.Show();       // Show values of entry 12
    root> t.Show(16);     // Read and show values of entry 16
    root> t.Loop();       // Loop on all entries

  NOTE: Do not use the code generated for one Tree in case of a TChain.
        Maximum dimensions calculated on the basis of one TTree only
        might be too small when processing all the TTrees in one TChain.
        Instead of myTree.MakeClass(..,  use myChain.MakeClass(..
Int_t MakeCode(const char* filename)
 Generate skeleton function for this Tree

 The function code is written on filename.
 If filename is 0, filename will be called nameoftree.C

 The generated code includes the following:
    - Identification of the original Tree and Input file name
    - Connection of the Tree file
    - Declaration of Tree variables
    - Setting of branches addresses
    - A skeleton for the entry loop

 To use this function:
    - connect your Tree file (eg: TFile f("myfile.root");)
    - T->MakeCode("anal.C");
 where T is the name of the Tree in file myfile.root
 and anal.C the name of the file created by this function.

 NOTE: Since the implementation of this function, a new and better
       function TTree::MakeClass() has been developed.
Int_t MakeProxy(const char* classname, const char* macrofilename = 0, const char* cutfilename = 0, const char* option = 0, Int_t maxUnrolling = 3)
 Generate a skeleton analysis class for this Tree using TBranchProxy.
 TBranchProxy is the base of a class hierarchy implementing an
 indirect access to the content of the branches of a TTree.

 "proxyClassname" is expected to be of the form:
    [path/]fileprefix
 The skeleton will then be generated in the file:
    fileprefix.h
 located in the current directory or in 'path/' if it is specified.
 The class generated will be named 'fileprefix'.
 If the fileprefix contains a period, the right side of the period
 will be used as the extension (instead of 'h') and the left side
 will be used as the classname.

 "macrofilename" and optionally "cutfilename" are expected to point
 to source file which will be included in by the generated skeletong.
 Method of the same name as the file(minus the extension and path)
 will be called by the generated skeleton's Process method as follow:
    [if (cutfilename())] htemp->Fill(macrofilename());

 "option" can be used select some of the optional features during
 the code generation.  The possible options are:
    nohist : indicates that the generated ProcessFill should not
             fill the histogram.

 'maxUnrolling' controls how deep in the class hierarchy does the
 system 'unroll' class that are not split.  'unrolling' a class
 will allow direct access to its data members a class (this
 emulates the behavior of TTreeFormula).

 The main features of this skeleton are:

    * on-demand loading of branches
    * ability to use the 'branchname' as if it was a data member
    * protection against array out-of-bound
    * ability to use the branch data as object (when the user code is available)

 For example with Event.root, if
    Double_t somepx = fTracks.fPx[2];
 is executed by one of the method of the skeleton,
 somepx will be updated with the current value of fPx of the 3rd track.

 Both macrofilename and the optional cutfilename are expected to be
 the name of source files which contain at least a free standing
 function with the signature:
     x_t macrofilename(); // i.e function with the same name as the file
 and
     y_t cutfilename();   // i.e function with the same name as the file

 x_t and y_t needs to be types that can convert respectively to a double
 and a bool (because the skeleton uses:
     if (cutfilename()) htemp->Fill(macrofilename());

 This 2 functions are run in a context such that the branch names are
 available as local variables of the correct (read-only) type.

 Note that if you use the same 'variable' twice, it is more efficient
 to 'cache' the value. For example
   Int_t n = fEventNumber; // Read fEventNumber
   if (n<10 || n>10) { ... }
 is more efficient than
   if (fEventNumber<10 || fEventNumber>10)

 Access to TClonesArray.

 If a branch (or member) is a TClonesArray (let's say fTracks), you
 can access the TClonesArray itself by using ->:
    fTracks->GetLast();
 However this will load the full TClonesArray object and its content.
 To quickly read the size of the TClonesArray use (note the dot):
    fTracks.GetEntries();
 This will read only the size from disk if the TClonesArray has been
 split.
 To access the content of the TClonesArray, use the [] operator:
    float px = fTracks[i].fPx; // fPx of the i-th track

 Warning:
    The variable actually use for access are 'wrapper' around the
 real data type (to add autoload for example) and hence getting to
 the data involves the implicit call to a C++ conversion operator.
 This conversion is automatic in most case.  However it is not invoked
 in a few cases, in particular in variadic function (like printf).
 So when using printf you should either explicitly cast the value or
 use any intermediary variable:
      fprintf(stdout,"trs[%d].a = %d\n",i,(int)trs.a[i]);

 Also, optionally, the generated selector will also call methods named
 macrofilename_methodname in each of 6 main selector methods if the method
 macrofilename_methodname exist (Where macrofilename is stripped of its
 extension).

 Concretely, with the script named h1analysisProxy.C,

 The method         calls the method (if it exist)
 Begin           -> void h1analysisProxy_Begin(TTree*);
 SlaveBegin      -> void h1analysisProxy_SlaveBegin(TTree*);
 Notify          -> Bool_t h1analysisProxy_Notify();
 Process         -> Bool_t h1analysisProxy_Process(Long64_t);
 SlaveTerminate  -> void h1analysisProxy_SlaveTerminate();
 Terminate       -> void h1analysisProxy_Terminate();

 If a file name macrofilename.h (or .hh, .hpp, .hxx, .hPP, .hXX) exist
 it is included before the declaration of the proxy class.  This can
 be used in particular to insure that the include files needed by
 the macro file are properly loaded.

 The default histogram is accessible via the variable named 'htemp'.

 If the library of the classes describing the data in the branch is
 loaded, the skeleton will add the needed #include statements and
 give the ability to access the object stored in the branches.

 To draw px using the file hsimple.root (generated by the
 hsimple.C tutorial), we need a file named hsimple.cxx:

     double hsimple() {
        return px;
     }

 MakeProxy can then be used indirectly via the TTree::Draw interface
 as follow:
     new TFile("hsimple.root")
     ntuple->Draw("hsimple.cxx");

 A more complete example is available in the tutorials directory:
   h1analysisProxy.cxx , h1analysProxy.h and h1analysisProxyCut.C
 which reimplement the selector found in h1analysis.C
TPrincipal * Principal(const char* varexp, const char* selection, Option_t* option, Long64_t nentries, Long64_t firstentry)
 Interface to the Principal Components Analysis class.

   Create an instance of TPrincipal
   Fill it with the selected variables
   if option "n" is specified, the TPrincipal object is filled with
                 normalized variables.
   If option "p" is specified, compute the principal components
   If option "p" and "d" print results of analysis
   If option "p" and "h" generate standard histograms
   If option "p" and "c" generate code of conversion functions
   return a pointer to the TPrincipal object. It is the user responsibility
   to delete this object.
   The option default value is "np"

   See TTreePlayer::DrawSelect for explanation of the other parameters.
Long64_t Process(const char* filename, Option_t* option, Long64_t nentries, Long64_t firstentry)
 Process this tree executing the TSelector code in the specified filename.
 The return value is -1 in case of error and TSelector::GetStatus() in
 in case of success.

 The code in filename is loaded (interpreted or compiled, see below),
 filename must contain a valid class implementation derived from TSelector,
 where TSelector has the following member functions:

    Begin():        called every time a loop on the tree starts,
                    a convenient place to create your histograms.
    SlaveBegin():   called after Begin(), when on PROOF called only on the
                    slave servers.
    Process():      called for each event, in this function you decide what
                    to read and fill your histograms.
    SlaveTerminate: called at the end of the loop on the tree, when on PROOF
                    called only on the slave servers.
    Terminate():    called at the end of the loop on the tree,
                    a convenient place to draw/fit your histograms.

 If filename is of the form file.C, the file will be interpreted.
 If filename is of the form file.C++, the file file.C will be compiled
 and dynamically loaded.
 If filename is of the form file.C+, the file file.C will be compiled
 and dynamically loaded. At next call, if file.C is older than file.o
 and file.so, the file.C is not compiled, only file.so is loaded.

  NOTE1
  It may be more interesting to invoke directly the other Process function
  accepting a TSelector* as argument.eg
     MySelector *selector = (MySelector*)TSelector::GetSelector(filename);
     selector->CallSomeFunction(..);
     mytree.Process(selector,..);

  NOTE2
  One should not call this function twice with the same selector file
  in the same script. If this is required, proceed as indicated in NOTE1,
  by getting a pointer to the corresponding TSelector,eg
    workaround 1

void stubs1() {
   TSelector *selector = TSelector::GetSelector("h1test.C");
   TFile *f1 = new TFile("stubs_nood_le1.root");
   TTree *h1 = (TTree*)f1->Get("h1");
   h1->Process(selector);
   TFile *f2 = new TFile("stubs_nood_le1_coarse.root");
   TTree *h2 = (TTree*)f2->Get("h1");
   h2->Process(selector);
}
  or use ACLIC to compile the selector
   workaround 2

void stubs2() {
   TFile *f1 = new TFile("stubs_nood_le1.root");
   TTree *h1 = (TTree*)f1->Get("h1");
   h1->Process("h1test.C+");
   TFile *f2 = new TFile("stubs_nood_le1_coarse.root");
   TTree *h2 = (TTree*)f2->Get("h1");
   h2->Process("h1test.C+");
}
Long64_t Process(TSelector* selector, Option_t* option, Long64_t nentries, Long64_t firstentry)
 Process this tree executing the code in the specified selector.
 The return value is -1 in case of error and TSelector::GetStatus() in
 in case of success.

   The TSelector class has the following member functions:

    Begin():        called every time a loop on the tree starts,
                    a convenient place to create your histograms.
    SlaveBegin():   called after Begin(), when on PROOF called only on the
                    slave servers.
    Process():      called for each event, in this function you decide what
                    to read and fill your histograms.
    SlaveTerminate: called at the end of the loop on the tree, when on PROOF
                    called only on the slave servers.
    Terminate():    called at the end of the loop on the tree,
                    a convenient place to draw/fit your histograms.

  If the Tree (Chain) has an associated EventList, the loop is on the nentries
  of the EventList, starting at firstentry, otherwise the loop is on the
  specified Tree entries.
void RecursiveRemove(TObject* obj)
 cleanup pointers in the player pointing to obj
Long64_t Scan(const char* varexp, const char* selection, Option_t* option, Long64_t nentries, Long64_t firstentry)
 Loop on Tree and print entries passing selection. If varexp is 0 (or "")
 then print only first 8 columns. If varexp = "*" print all columns.
 Otherwise a columns selection can be made using "var1:var2:var3".
 The function returns the number of entries passing the selection.

 By default 50 rows are shown and you are asked for <CR>
 to see the next 50 rows.
 You can change the default number of rows to be shown before <CR>
 via  mytree->SetScanField(maxrows) where maxrows is 50 by default.
 if maxrows is set to 0 all rows of the Tree are shown.
 This option is interesting when dumping the contents of a Tree to
 an ascii file, eg from the command line
   tree->SetScanField(0);
   tree->Scan("*"); >tree.log
  will create a file tree.log

 Arrays (within an entry) are printed in their linear forms.
 If several arrays with multiple dimensions are printed together,
 they will NOT be synchronized.  For example print
   arr1[4][2] and arr2[2][3] will results in a printing similar to:

 *    Row   * Instance *      arr1 *      arr2 *

 *        x *        0 * arr1[0][0]* arr2[0][0]*
 *        x *        1 * arr1[0][1]* arr2[0][1]*
 *        x *        2 * arr1[1][0]* arr2[0][2]*
 *        x *        3 * arr1[1][1]* arr2[1][0]*
 *        x *        4 * arr1[2][0]* arr2[1][1]*
 *        x *        5 * arr1[2][1]* arr2[1][2]*
 *        x *        6 * arr1[3][0]*           *
 *        x *        7 * arr1[3][1]*           *

 However, if there is a selection criterion which is an array, then
 all the formulas will be synchronized with the selection criterion
 (see TTreePlayer::DrawSelect for more information).

 The options string can contains the following parameters:
    lenmax=dd
       Where 'dd' is the maximum number of elements per array that should
       be printed.  If 'dd' is 0, all elements are printed (this is the
       default)
    colsize=ss
       Where 'ss' will be used as the default size for all the column
       If this options is not specified, the default column size is 9
    precision=pp
       Where 'pp' will be used as the default 'precision' for the
       printing format.
    col=xxx
       Where 'xxx' is colon (:) delimited list of printing format for
       each column. The format string should follow the printf format
       specification.  The value given will be prefixed by % and, if no
       conversion specifier is given, will be suffixed by the letter g.
       before being passed to fprintf.  If no format is specified for a
       column, the default is used  (aka ${colsize}.${precision}g )
 For example:
   tree->Scan("a:b:c","","colsize=30 precision=3 col=::20.10:#x:5ld");
 Will print 3 columns, the first 2 columns will be 30 characters long,
 the third columns will be 20 characters long.  The printing format used
 for the columns (assuming they are numbers) will be respectively:
   %30.3g %30.3g %20.10g %#x %5ld
TSQLResult * Query(const char* varexp, const char* selection, Option_t* option, Long64_t nentries, Long64_t firstentry)
 Loop on Tree and return TSQLResult object containing entries passing
 selection. If varexp is 0 (or "") then print only first 8 columns.
 If varexp = "*" print all columns. Otherwise a columns selection can
 be made using "var1:var2:var3". In case of error 0 is returned otherwise
 a TSQLResult object which must be deleted by the user.
void SetEstimate(Long64_t n)
-*-*-*-*-*Set number of entries to estimate variable limits
*-*              ================================================

void StartViewer(Int_t ww, Int_t wh)
Start the TTreeViewer on this TTree*-
*-*              ===================================

  ww is the width of the canvas in pixels
  wh is the height of the canvas in pixels
Int_t UnbinnedFit(const char* formula, const char* varexp, const char* selection, Option_t* option, Long64_t nentries, Long64_t firstentry)
Unbinned fit of one or more variable(s) from a Tree
*-*        ===================================================

  funcname is a TF1 function.

  See TTree::Draw for explanations of the other parameters.

   Fit the variable varexp using the function funcname using the
   selection cuts given by selection.

   The list of fit options is given in parameter option.
      option = "Q" Quiet mode (minimum printing)
             = "V" Verbose mode (default is between Q and V)
             = "E" Perform better Errors estimation using Minos technique
             = "M" More. Improve fit results
             = "D" Draw the projected histogram with the fitted function
                   normalized to the number of selected rows
                   and multiplied by the bin width

   You can specify boundary limits for some or all parameters via
        func->SetParLimits(p_number, parmin, parmax);
   if parmin>=parmax, the parameter is fixed
   Note that you are not forced to fix the limits for all parameters.
   For example, if you fit a function with 6 parameters, you can do:
     func->SetParameters(0,3.1,1.e-6,0.1,-8,100);
     func->SetParLimits(4,-10,-4);
     func->SetParLimits(5, 1,1);
   With this setup, parameters 0->3 can vary freely
   Parameter 4 has boundaries [-10,-4] with initial value -8
   Parameter 5 is fixed to 100.

   For the fit to be meaningful, the function must be self-normalized.

   i.e. It must have the same integral regardless of the parameter
   settings.  Otherwise the fit will effectively just maximize the
   area.

   It is mandatory to have a normalization variable
   which is fixed for the fit.  e.g.

     TF1* f1 = new TF1("f1", "gaus(0)/sqrt(2*3.14159)/[2]", 0, 5);
     f1->SetParameters(1, 3.1, 0.01);
     f1->SetParLimits(0, 1, 1); // fix the normalization parameter to 1
     data->UnbinnedFit("f1", "jpsimass", "jpsipt>3.0");


   1, 2 and 3 Dimensional fits are supported.
   See also TTree::Fit

    Return status

   The function return the status of the fit in the following form
     fitResult = migradResult + 10*minosResult + 100*hesseResult + 1000*improveResult
   The fitResult is 0 is the fit is OK.
   The fitResult is negative in case of an error not connected with the fit.
   The number of entries used in the fit can be obtained via
     mytree.GetSelectedRows();
   If the number of selected entries is null the function returns -1
void UpdateFormulaLeaves()
 this function is called by TChain::LoadTree when a new Tree is loaded.
 Because Trees in a TChain may have a different list of leaves, one
 must update the leaves numbers in the TTreeFormula used by the TreePlayer.
TTreePlayer(const TTreePlayer& )
TTreePlayer& operator=(const TTreePlayer& )
void TakeAction(Int_t nfill, Int_t& npoints, Int_t& action, TObject* obj, Option_t* option)
void TakeEstimate(Int_t nfill, Int_t& npoints, Int_t action, TObject* obj, Option_t* option)
Int_t GetDimension() const
{return fDimension;}
TH1 * GetHistogram() const
{return fHistogram;}
Int_t GetNfill() const
{return fSelector->GetNfill();}
const char * GetScanFileName() const
{return fScanFileName;}
TTreeFormula * GetSelect() const
{return fSelector->GetSelect();}
Long64_t GetSelectedRows() const
{return fSelectedRows;}
TSelector * GetSelector() const
{return fSelector;}
TSelector * GetSelectorFromFile() const
TTreeFormula * GetVar(Int_t i) const
{return fSelector->GetVar(i);}
TTreeFormula * GetVar1() const
{return fSelector->GetVar1();}
TTreeFormula * GetVar2() const
{return fSelector->GetVar2();}
TTreeFormula * GetVar3() const
{return fSelector->GetVar3();}
TTreeFormula * GetVar4() const
{return fSelector->GetVar4();}
Double_t * GetVal(Int_t i) const
{return fSelector->GetVal(i);}
Double_t * GetV1() const
{return fSelector->GetV1();}
Double_t * GetV2() const
{return fSelector->GetV2();}
Double_t * GetV3() const
{return fSelector->GetV3();}
Double_t * GetV4() const
{return fSelector->GetV4();}
Double_t * GetW() const
{return fSelector->GetW();}
Bool_t ScanRedirected()
{return fScanRedirect;}
void SetScanRedirect(Bool_t on = kFALSE)
void SetScanFileName(const char* name)
void SetTree(TTree* t)
{fTree = t;}