// @(#)root/hist:$Id$ // Author: Rene Brun 17/05/2006 /************************************************************************* * Copyright (C) 1995-2000, Rene Brun and Fons Rademakers. * * All rights reserved. * * * * For the licensing terms see $ROOTSYS/LICENSE. * * For the list of contributors see $ROOTSYS/README/CREDITS. * *************************************************************************/ #include "TProfile3D.h" #include "TProfile2D.h" #include "THashList.h" #include "TMath.h" #include "THLimitsFinder.h" #include "Riostream.h" #include "TVirtualPad.h" #include "TError.h" #include "TClass.h" #include "TProfileHelper.h" Bool_t TProfile3D::fgApproximate = kFALSE; ClassImp(TProfile3D) //______________________________________________________________________________ // // Profile3D histograms are used to display the mean // value of T and its RMS for each cell in X,Y,Z. // Profile3D histograms are in many cases an // The inter-relation of three measured quantities X, Y, Z and T can always // be visualized by a four-dimensional histogram or scatter-plot; // its representation on the line-printer is not particularly // satisfactory, except for sparse data. If T is an unknown (but single-valued) // approximate function of X,Y,Z this function is displayed by a profile3D histogram with // much better precision than by a scatter-plot. // // The following formulae show the cumulated contents (capital letters) and the values // displayed by the printing or plotting routines (small letters) of the elements for cell I, J. // // 2 // H(I,J,K) = sum T E(I,J,K) = sum T // l(I,J,K) = sum l L(I,J,K) = sum l // h(I,J,K) = H(I,J,K)/L(I,J,K) s(I,J,K) = sqrt(E(I,J,K)/L(I,J,K)- h(I,J,K)**2) // e(I,J,K) = s(I,J,K)/sqrt(L(I,J,K)) // // In the special case where s(I,J,K) is zero (eg, case of 1 entry only in one cell) // e(I,J,K) is computed from the average of the s(I,J,K) for all cells, // if the static function TProfile3D::Approximate has been called. // This simple/crude approximation was suggested in order to keep the cell // during a fit operation. But note that this approximation is not the default behaviour. // // Example of a profile3D histogram //{ // TCanvas *c1 = new TCanvas("c1","Profile histogram example",200,10,700,500); // hprof3d = new TProfile3D("hprof3d","Profile of pt versus px, py and pz",40,-4,4,40,-4,4,40,0,20); // Double_t px, py, pz, pt; // TRandom3 r(0); // for ( Int_t i=0; i<25000; i++) { // r.Rannor(px,py); // pz = px*px + py*py; // pt = r.Landau(0,1); // hprof3d->Fill(px,py,pz,pt,1); // } // hprof3d->Draw(); //} // // NOTE: A TProfile3D is drawn as it was a simple TH3 //______________________________________________________________________________ TProfile3D::TProfile3D() : TH3D() { //*-*-*-*-*-*Default constructor for Profile3D histograms*-*-*-*-*-*-*-*-* //*-* ============================================ fTsumwt = fTsumwt2 = 0; fScaling = kFALSE; BuildOptions(0,0,""); } //______________________________________________________________________________ TProfile3D::~TProfile3D() { //*-*-*-*-*-*Default destructor for Profile3D histograms*-*-*-*-*-*-*-*-* //*-* =========================================== } //______________________________________________________________________________ TProfile3D::TProfile3D(const char *name,const char *title,Int_t nx,Double_t xlow,Double_t xup,Int_t ny,Double_t ylow,Double_t yup,Int_t nz, Double_t zlow,Double_t zup,Option_t *option) : TH3D(name,title,nx,xlow,xup,ny,ylow,yup,nz,zlow,zup) { //*-*-*-*-*-*Normal Constructor for Profile histograms*-*-*-*-*-*-*-*-*-* //*-* ========================================== // // The first eleven parameters are similar to TH3D::TH3D. // All values of t are accepted at filling time. // To fill a profile3D histogram, one must use TProfile3D::Fill function. // // Note that when filling the profile histogram the function Fill // checks if the variable t is betyween fTmin and fTmax. // If a minimum or maximum value is set for the T scale before filling, // then all values below tmin or above tmax will be discarded. // Setting the minimum or maximum value for the T scale before filling // has the same effect as calling the special TProfile3D constructor below // where tmin and tmax are specified. // // H(I,J,K) is printed as the cell contents. The errors computed are s(I,J,K) if CHOPT='S' // (spread option), or e(I,J,K) if CHOPT=' ' (error on mean). // // See TProfile3D::BuildOptions for explanation of parameters // // see other constructors below with all possible combinations of // fix and variable bin size like in TH3D. BuildOptions(0,0,option); if (xlow >= xup || ylow >= yup || zlow >= zup) SetBuffer(fgBufferSize); } //______________________________________________________________________________ TProfile3D::TProfile3D(const char *name,const char *title,Int_t nx,const Double_t *xbins,Int_t ny,const Double_t *ybins,Int_t nz,const Double_t *zbins,Option_t *option) : TH3D(name,title,nx,xbins,ny,ybins,nz,zbins) { // Create a 3-D Profile with variable bins in X , Y and Z BuildOptions(0,0,option); } //______________________________________________________________________________ void TProfile3D::BuildOptions(Double_t tmin, Double_t tmax, Option_t *option) { //*-*-*-*-*-*-*Set Profile3D histogram structure and options*-*-*-*-*-*-*-*-* //*-* ============================================= // // tmin: minimum value allowed for t // tmax: maximum value allowed for t // if (tmin = tmax = 0) there are no limits on the allowed t values (tmin = -inf, tmax = +inf) // // option: this is the option for the computation of the t error of the profile ( TProfile3D::GetBinError ) // possible values for the options are documented in TProfile3D::SetErrorOption // // see also TProfile::BuildOptions for a detailed description SetErrorOption(option); // create extra profile data structire (bin entries/ y^2 and sum of weight square) TProfileHelper::BuildArray(this); fTmin = tmin; fTmax = tmax; fScaling = kFALSE; fTsumwt = fTsumwt2 = 0; } //______________________________________________________________________________ TProfile3D::TProfile3D(const TProfile3D &profile) : TH3D() { //copy constructor ((TProfile3D&)profile).Copy(*this); } //______________________________________________________________________________ Bool_t TProfile3D::Add(TF1 *, Double_t , Option_t*) { // Performs the operation: this = this + c1*f1 Error("Add","Function not implemented for TProfile3D"); return kFALSE; } //______________________________________________________________________________ Bool_t TProfile3D::Add(const TH1 *h1, Double_t c1) { // Performs the operation: this = this + c1*h1 if (!h1) { Error("Add","Attempt to add a non-existing profile"); return kFALSE; } if (!h1->InheritsFrom(TProfile3D::Class())) { Error("Add","Attempt to add a non-profile2D object"); return kFALSE; } return TProfileHelper::Add(this, this, h1, 1, c1); } //______________________________________________________________________________ Bool_t TProfile3D::Add(const TH1 *h1, const TH1 *h2, Double_t c1, Double_t c2) { //*-*-*-*-*Replace contents of this profile3D by the addition of h1 and h2*-*-* //*-* =============================================================== // // this = c1*h1 + c2*h2 // if (!h1 || !h2) { Error("Add","Attempt to add a non-existing profile"); return kFALSE; } if (!h1->InheritsFrom(TProfile3D::Class())) { Error("Add","Attempt to add a non-profile3D object"); return kFALSE; } if (!h2->InheritsFrom(TProfile3D::Class())) { Error("Add","Attempt to add a non-profile3D object"); return kFALSE; } return TProfileHelper::Add(this, h1, h2, c1, c2); } //______________________________________________________________________________ void TProfile3D::Approximate(Bool_t approx) { // static function // set the fgApproximate flag. When the flag is true, the function GetBinError // will approximate the bin error with the average profile error on all bins // in the following situation only // - the number of bins in the profile3D is less than 10404 (eg 100x100x100) // - the bin number of entries is small ( <5) // - the estimated bin error is extremely small compared to the bin content // (see TProfile3D::GetBinError) fgApproximate = approx; } //______________________________________________________________________________ Int_t TProfile3D::BufferEmpty(Int_t action) { // Fill histogram with all entries in the buffer. // action = -1 histogram is reset and refilled from the buffer (called by THistPainter::Paint) // action = 0 histogram is filled from the buffer // action = 1 histogram is filled and buffer is deleted // The buffer is automatically deleted when the number of entries // in the buffer is greater than the number of entries in the histogram // do we need to compute the bin size? if (!fBuffer) return 0; Int_t nbentries = (Int_t)fBuffer[0]; if (!nbentries) return 0; Double_t *buffer = fBuffer; if (nbentries < 0) { if (action == 0) return 0; nbentries = -nbentries; fBuffer=0; Reset("ICES"); // reset without deleting the functions fBuffer = buffer; } if (CanExtendAllAxes() || fXaxis.GetXmax() <= fXaxis.GetXmin() || fYaxis.GetXmax() <= fYaxis.GetXmin()) { //find min, max of entries in buffer Double_t xmin = fBuffer[2]; Double_t xmax = xmin; Double_t ymin = fBuffer[3]; Double_t ymax = ymin; Double_t zmin = fBuffer[4]; Double_t zmax = zmin; for (Int_t i=1;i<nbentries;i++) { Double_t x = fBuffer[5*i+2]; if (x < xmin) xmin = x; if (x > xmax) xmax = x; Double_t y = fBuffer[5*i+3]; if (y < ymin) ymin = y; if (y > ymax) ymax = y; Double_t z = fBuffer[5*i+4]; if (z < zmin) zmin = z; if (z > zmax) zmax = z; } if (fXaxis.GetXmax() <= fXaxis.GetXmin() || fYaxis.GetXmax() <= fYaxis.GetXmin() || fZaxis.GetXmax() <= fZaxis.GetXmin()) { THLimitsFinder::GetLimitsFinder()->FindGoodLimits(this,xmin,xmax,ymin,ymax,zmin,zmax); } else { fBuffer = 0; Int_t keep = fBufferSize; fBufferSize = 0; if (xmin < fXaxis.GetXmin()) ExtendAxis(xmin,&fXaxis); if (xmax >= fXaxis.GetXmax()) ExtendAxis(xmax,&fXaxis); if (ymin < fYaxis.GetXmin()) ExtendAxis(ymin,&fYaxis); if (ymax >= fYaxis.GetXmax()) ExtendAxis(ymax,&fYaxis); if (zmin < fZaxis.GetXmin()) ExtendAxis(zmin,&fZaxis); if (zmax >= fZaxis.GetXmax()) ExtendAxis(zmax,&fZaxis); fBuffer = buffer; fBufferSize = keep; } } fBuffer = 0; for (Int_t i=0;i<nbentries;i++) { Fill(buffer[5*i+2],buffer[5*i+3],buffer[5*i+4],buffer[5*i+5],buffer[5*i+1]); } fBuffer = buffer; if (action > 0) { delete [] fBuffer; fBuffer = 0; fBufferSize = 0;} else { if (nbentries == (Int_t)fEntries) fBuffer[0] = -nbentries; else fBuffer[0] = 0; } return nbentries; } //______________________________________________________________________________ Int_t TProfile3D::BufferFill(Double_t x, Double_t y, Double_t z, Double_t t, Double_t w) { // accumulate arguments in buffer. When buffer is full, empty the buffer // fBuffer[0] = number of entries in buffer // fBuffer[1] = w of first entry // fBuffer[2] = x of first entry // fBuffer[3] = y of first entry // fBuffer[4] = z of first entry // fBuffer[5] = t of first entry if (!fBuffer) return -3; Int_t nbentries = (Int_t)fBuffer[0]; if (nbentries < 0) { nbentries = -nbentries; fBuffer[0] = nbentries; if (fEntries > 0) { Double_t *buffer = fBuffer; fBuffer=0; Reset("ICES"); // reset without deleting the functions fBuffer = buffer; } } if (5*nbentries+5 >= fBufferSize) { BufferEmpty(1); return Fill(x,y,z,t,w); } fBuffer[5*nbentries+1] = w; fBuffer[5*nbentries+2] = x; fBuffer[5*nbentries+3] = y; fBuffer[5*nbentries+4] = z; fBuffer[5*nbentries+5] = t; fBuffer[0] += 1; return -2; } //______________________________________________________________________________ void TProfile3D::Copy(TObject &obj) const { //*-*-*-*-*-*-*-*Copy a Profile3D histogram to a new profile2D histogram*-*-*-* //*-* ======================================================= try { TProfile3D & pobj = dynamic_cast<TProfile3D&>(obj); TH3D::Copy(pobj); fBinEntries.Copy(pobj.fBinEntries); fBinSumw2.Copy(pobj.fBinSumw2); for (int bin=0;bin<fNcells;bin++) { pobj.fArray[bin] = fArray[bin]; pobj.fSumw2.fArray[bin] = fSumw2.fArray[bin]; } pobj.fTmin = fTmin; pobj.fTmax = fTmax; pobj.fScaling = fScaling; pobj.fErrorMode = fErrorMode; pobj.fTsumwt = fTsumwt; pobj.fTsumwt2 = fTsumwt2; } catch(...) { Fatal("Copy","Cannot copy a TProfile3D in a %s",obj.IsA()->GetName()); } } //______________________________________________________________________________ Bool_t TProfile3D::Divide(TF1 *, Double_t ) { // Performs the operation: this = this/(c1*f1) // This function is not implemented Error("Divide","Function not implemented for TProfile3D"); return kFALSE; } //______________________________________________________________________________ Bool_t TProfile3D::Divide(const TH1 *h1) { //*-*-*-*-*-*-*-*-*-*-*Divide this profile2D by h1*-*-*-*-*-*-*-*-*-*-*-*-* //*-* =========================== // // this = this/h1 // // This function return kFALSE if the divide operation failed if (!h1) { Error("Divide","Attempt to divide a non-existing profile2D"); return kFALSE; } if (!h1->InheritsFrom(TProfile3D::Class())) { Error("Divide","Attempt to divide a non-profile3D object"); return kFALSE; } TProfile3D *p1 = (TProfile3D*)h1; // delete buffer if it is there since it will become invalid if (fBuffer) BufferEmpty(1); //*-*- Check profile compatibility Int_t nx = GetNbinsX(); if (nx != p1->GetNbinsX()) { Error("Divide","Attempt to divide profiles with different number of bins"); return kFALSE; } Int_t ny = GetNbinsY(); if (ny != p1->GetNbinsY()) { Error("Divide","Attempt to divide profiles with different number of bins"); return kFALSE; } Int_t nz = GetNbinsZ(); if (nz != p1->GetNbinsZ()) { Error("Divide","Attempt to divide profiles with different number of bins"); return kFALSE; } //*-*- Reset statistics fEntries = fTsumw = fTsumw2 = fTsumwx = fTsumwx2 = 0; //*-*- Loop on bins (including underflows/overflows) Int_t bin,binx,biny,binz; Double_t *cu1 = p1->GetW(); Double_t *er1 = p1->GetW2(); Double_t *en1 = p1->GetB(); Double_t c0,c1,w,u,x,y,z; for (binx =0;binx<=nx+1;binx++) { for (biny =0;biny<=ny+1;biny++) { for (binz =0;binz<=nz+1;binz++) { bin = GetBin(binx,biny,binz); c0 = fArray[bin]; c1 = cu1[bin]; if (c1) w = c0/c1; else w = 0; fArray[bin] = w; u = TMath::Abs(w); x = fXaxis.GetBinCenter(binx); y = fYaxis.GetBinCenter(biny); z = fZaxis.GetBinCenter(binz); fEntries++; fTsumw += u; fTsumw2 += u*u; fTsumwx += u*x; fTsumwx2 += u*x*x; fTsumwy += u*y; fTsumwy2 += u*y*y; fTsumwxy += u*x*y; fTsumwz += u; fTsumwz2 += u*z; fTsumwxz += u*x*z; fTsumwyz += u*y*z; fTsumwt += u; fTsumwt2 += u*u; Double_t e0 = fSumw2.fArray[bin]; Double_t e1 = er1[bin]; Double_t c12= c1*c1; if (!c1) fSumw2.fArray[bin] = 0; else fSumw2.fArray[bin] = (e0*c1*c1 + e1*c0*c0)/(c12*c12); if (!en1[bin]) fBinEntries.fArray[bin] = 0; else fBinEntries.fArray[bin] /= en1[bin]; } } } // mantaining the correct sum of weights square is not supported when dividing // bin error resulting from division of profile needs to be checked if (fBinSumw2.fN) { Warning("Divide","Cannot preserve during the division of profiles the sum of bin weight square"); fBinSumw2 = TArrayD(); } return kTRUE; } //______________________________________________________________________________ Bool_t TProfile3D::Divide(const TH1 *h1, const TH1 *h2, Double_t c1, Double_t c2, Option_t *option) { //*-*-*-*-*Replace contents of this profile2D by the division of h1 by h2*-*-* //*-* ============================================================== // // this = c1*h1/(c2*h2) // // This function return kFALSE if the divide operation failed TString opt = option; opt.ToLower(); Bool_t binomial = kFALSE; if (opt.Contains("b")) binomial = kTRUE; if (!h1 || !h2) { Error("Divide","Attempt to divide a non-existing profile2D"); return kFALSE; } if (!h1->InheritsFrom(TProfile3D::Class())) { Error("Divide","Attempt to divide a non-profile2D object"); return kFALSE; } TProfile3D *p1 = (TProfile3D*)h1; if (!h2->InheritsFrom(TProfile3D::Class())) { Error("Divide","Attempt to divide a non-profile2D object"); return kFALSE; } TProfile3D *p2 = (TProfile3D*)h2; //*-*- Check histogram compatibility Int_t nx = GetNbinsX(); if (nx != p1->GetNbinsX() || nx != p2->GetNbinsX()) { Error("Divide","Attempt to divide profiles with different number of bins"); return kFALSE; } Int_t ny = GetNbinsY(); if (ny != p1->GetNbinsY() || ny != p2->GetNbinsY()) { Error("Divide","Attempt to divide profiles with different number of bins"); return kFALSE; } Int_t nz = GetNbinsZ(); if (nz != p1->GetNbinsZ() || nz != p2->GetNbinsZ()) { Error("Divide","Attempt to divide profiles with different number of bins"); return kFALSE; } if (!c2) { Error("Divide","Coefficient of dividing profile cannot be zero"); return kFALSE; } //*-*- Reset statistics fEntries = fTsumw = fTsumw2 = fTsumwx = fTsumwx2 = 0; //*-*- Loop on bins (including underflows/overflows) Int_t bin,binx,biny,binz; Double_t *cu1 = p1->GetW(); Double_t *cu2 = p2->GetW(); Double_t *er1 = p1->GetW2(); Double_t *er2 = p2->GetW2(); Double_t *en1 = p1->GetB(); Double_t *en2 = p2->GetB(); Double_t b1,b2,w,u,x,y,z,ac1,ac2; ac1 = TMath::Abs(c1); ac2 = TMath::Abs(c2); for (binx =0;binx<=nx+1;binx++) { for (biny =0;biny<=ny+1;biny++) { for (binz =0;binz<=nz+1;binz++) { bin = GetBin(binx,biny,binz); b1 = cu1[bin]; b2 = cu2[bin]; if (b2) w = c1*b1/(c2*b2); else w = 0; fArray[bin] = w; u = TMath::Abs(w); x = fXaxis.GetBinCenter(binx); y = fYaxis.GetBinCenter(biny); z = fZaxis.GetBinCenter(biny); fEntries++; fTsumw += u; fTsumw2 += u*u; fTsumwx += u*x; fTsumwx2 += u*x*x; fTsumwy += u*y; fTsumwy2 += u*y*y; fTsumwxy += u*x*y; fTsumwz += u*z; fTsumwz2 += u*z*z; fTsumwxz += u*x*z; fTsumwyz += u*y*z; fTsumwt += u; fTsumwt2 += u*u; Double_t e1 = er1[bin]; Double_t e2 = er2[bin]; //Double_t b22= b2*b2*d2; Double_t b22= b2*b2*TMath::Abs(c2); if (!b2) fSumw2.fArray[bin] = 0; else { if (binomial) { fSumw2.fArray[bin] = TMath::Abs(w*(1-w)/(c2*b2)); } else { fSumw2.fArray[bin] = ac1*ac2*(e1*b2*b2 + e2*b1*b1)/(b22*b22); } } if (!en2[bin]) fBinEntries.fArray[bin] = 0; else fBinEntries.fArray[bin] = en1[bin]/en2[bin]; } } } return kTRUE; } //______________________________________________________________________________ Int_t TProfile3D::Fill(Double_t x, Double_t y, Double_t z, Double_t t) { //*-*-*-*-*-*-*-*-*-*-*Fill a Profile3D histogram (no weights)*-*-*-*-*-*-*-* //*-* ======================================= if (fBuffer) return BufferFill(x,y,z,t,1); Int_t bin,binx,biny,binz; if (fTmin != fTmax) { if (t <fTmin || t> fTmax || TMath::IsNaN(t) ) return -1; } fEntries++; binx =fXaxis.FindBin(x); biny =fYaxis.FindBin(y); binz =fZaxis.FindBin(z); if (binx <0 || biny <0 || binz<0) return -1; bin = GetBin(binx,biny,binz); AddBinContent(bin, t); fSumw2.fArray[bin] += (Double_t)t*t; fBinEntries.fArray[bin] += 1; if (fBinSumw2.fN) fBinSumw2.fArray[bin] += 1; if (binx == 0 || binx > fXaxis.GetNbins()) { if (!fgStatOverflows) return -1; } if (biny == 0 || biny > fYaxis.GetNbins()) { if (!fgStatOverflows) return -1; } if (binz == 0 || binz > fZaxis.GetNbins()) { if (!fgStatOverflows) return -1; } //printf("x=%g, y=%g, z=%g, t=%g, binx=%d, biny=%d, binz=%d, bin=%d\n",x,y,z,t,binx,biny,binz,bin); ++fTsumw; ++fTsumw2; fTsumwx += x; fTsumwx2 += x*x; fTsumwy += y; fTsumwy2 += y*y; fTsumwxy += x*y; fTsumwz += z; fTsumwz2 += z*z; fTsumwxz += x*z; fTsumwyz += y*z; fTsumwt += t; fTsumwt2 += t*t; return bin; } //______________________________________________________________________________ Int_t TProfile3D::Fill(Double_t x, Double_t y, Double_t z, Double_t t, Double_t w) { //*-*-*-*-*-*-*-*-*-*-*Fill a Profile3D histogram with weights*-*-*-*-*-*-*-* //*-* ======================================= if (fBuffer) return BufferFill(x,y,z,t,w); Int_t bin,binx,biny,binz; if (fTmin != fTmax) { if (t <fTmin || z> fTmax || TMath::IsNaN(t) ) return -1; } Double_t u= w; // (w > 0 ? w : -w); fEntries++; binx =fXaxis.FindBin(x); biny =fYaxis.FindBin(y); binz =fZaxis.FindBin(z); if (binx <0 || biny <0 || binz<0) return -1; bin = GetBin(binx,biny,binz); AddBinContent(bin, u*t); fSumw2.fArray[bin] += u*t*t; if (!fBinSumw2.fN && u != 1.0 && !TestBit(TH1::kIsNotW)) Sumw2(); // must be called before accumulating the entries if (fBinSumw2.fN) fBinSumw2.fArray[bin] += u*u; fBinEntries.fArray[bin] += u; if (binx == 0 || binx > fXaxis.GetNbins()) { if (!fgStatOverflows) return -1; } if (biny == 0 || biny > fYaxis.GetNbins()) { if (!fgStatOverflows) return -1; } if (binz == 0 || binz > fZaxis.GetNbins()) { if (!fgStatOverflows) return -1; } fTsumw += u; fTsumw2 += u*u; fTsumwx += u*x; fTsumwx2 += u*x*x; fTsumwy += u*y; fTsumwy2 += u*y*y; fTsumwxy += u*x*y; fTsumwz += u*z; fTsumwz2 += u*z*z; fTsumwxz += u*x*z; fTsumwyz += u*y*z; fTsumwt += u*t; fTsumwt2 += u*t*t; return bin; } //______________________________________________________________________________ Double_t TProfile3D::GetBinContent(Int_t bin) const { //*-*-*-*-*-*-*Return bin content of a Profile3D histogram*-*-*-*-*-*-*-*-* //*-* =========================================== if (fBuffer) ((TProfile3D*)this)->BufferEmpty(); if (bin < 0 || bin >= fNcells) return 0; if (fBinEntries.fArray[bin] == 0) return 0; if (!fArray) return 0; return fArray[bin]/fBinEntries.fArray[bin]; } //______________________________________________________________________________ Double_t TProfile3D::GetBinEntries(Int_t bin) const { //*-*-*-*-*-*-*Return bin entries of a Profile3D histogram*-*-*-*-*-*-*-*-* //*-* =========================================== if (fBuffer) ((TProfile3D*)this)->BufferEmpty(); if (bin < 0 || bin >= fNcells) return 0; return fBinEntries.fArray[bin]; } //______________________________________________________________________________ Double_t TProfile3D::GetBinEffectiveEntries(Int_t bin) { // Return bin effective entries for a weighted filled Profile histogram. // In case of an unweighted profile, it is equivalent to the number of entries per bin // The effective entries is defined as the square of the sum of the weights divided by the // sum of the weights square. // TProfile::Sumw2() must be called before filling the profile with weights. // Only by calling this method the sum of the square of the weights per bin is stored. // //*-* ========================================= return TProfileHelper::GetBinEffectiveEntries((TProfile3D*)this, bin); } //______________________________________________________________________________ Double_t TProfile3D::GetBinError(Int_t bin) const { // *-*-*-*-*-*-*Return bin error of a Profile3D histogram*-*-*-*-*-*-*-*-* // // Computing errors: A moving field // ================================= // The computation of errors for a TProfile3D has evolved with the versions // of ROOT. The difficulty is in computing errors for bins with low statistics. // - prior to version 3.10, we had no special treatment of low statistic bins. // As a result, these bins had huge errors. The reason is that the // expression eprim2 is very close to 0 (rounding problems) or 0. // - The algorithm is modified/protected for the case // when a TProfile3D is projected (ProjectionX). The previous algorithm // generated a N^2 problem when projecting a TProfile3D with a large number of // bins (eg 100000). // - in version 3.10/02, a new static function TProfile::Approximate // is introduced to enable or disable (default) the approximation. // (see also comments in TProfile::GetBinError) return TProfileHelper::GetBinError((TProfile3D*)this, bin); } //______________________________________________________________________________ Option_t *TProfile3D::GetErrorOption() const { //*-*-*-*-*-*-*-*-*-*Return option to compute profile2D errors*-*-*-*-*-*-*-* //*-* ========================================= if (fErrorMode == kERRORSPREAD) return "s"; if (fErrorMode == kERRORSPREADI) return "i"; if (fErrorMode == kERRORSPREADG) return "g"; return ""; } //______________________________________________________________________________ void TProfile3D::GetStats(Double_t *stats) const { // fill the array stats from the contents of this profile // The array stats must be correctly dimensionned in the calling program. // stats[0] = sumw // stats[1] = sumw2 // stats[2] = sumwx // stats[3] = sumwx2 // stats[4] = sumwy // stats[5] = sumwy2 // stats[6] = sumwxy // stats[7] = sumwz // stats[8] = sumwz2 // stats[9] = sumwxz // stats[10]= sumwyz // stats[11]= sumwt // stats[12]= sumwt2 // // If no axis-subrange is specified (via TAxis::SetRange), the array stats // is simply a copy of the statistics quantities computed at filling time. // If a sub-range is specified, the function recomputes these quantities // from the bin contents in the current axis range. if (fBuffer) ((TProfile3D*)this)->BufferEmpty(); // Loop on bins if (fTsumw == 0 || fXaxis.TestBit(TAxis::kAxisRange) || fYaxis.TestBit(TAxis::kAxisRange)) { Int_t bin, binx, biny,binz; Double_t w, w2; Double_t x,y,z; for (bin=0;bin<kNstat;bin++) stats[bin] = 0; if (!fBinEntries.fArray) return; for (binz=fZaxis.GetFirst();binz<=fZaxis.GetLast();binz++) { z = fZaxis.GetBinCenter(binz); for (biny=fYaxis.GetFirst();biny<=fYaxis.GetLast();biny++) { y = fYaxis.GetBinCenter(biny); for (binx=fXaxis.GetFirst();binx<=fXaxis.GetLast();binx++) { bin = GetBin(binx,biny,binz); w = fBinEntries.fArray[bin]; w2 = (fBinSumw2.fN ? fBinSumw2.fArray[bin] : w ); x = fXaxis.GetBinCenter(binx); stats[0] += w; stats[1] += w2; stats[2] += w*x; stats[3] += w*x*x; stats[4] += w*y; stats[5] += w*y*y; stats[6] += w*x*y; stats[7] += w*z; stats[8] += w*z*z; stats[9] += w*x*z; stats[10] += w*y*z; stats[11] += fArray[bin]; stats[12] += fSumw2.fArray[bin]; } } } } else { stats[0] = fTsumw; stats[1] = fTsumw2; stats[2] = fTsumwx; stats[3] = fTsumwx2; stats[4] = fTsumwy; stats[5] = fTsumwy2; stats[6] = fTsumwxy; stats[7] = fTsumwz; stats[8] = fTsumwz2; stats[9] = fTsumwxz; stats[10] = fTsumwyz; stats[11] = fTsumwt; stats[12] = fTsumwt2; } } //______________________________________________________________________________ Long64_t TProfile3D::Merge(TCollection *li) { //Merge all histograms in the collection in this histogram. //This function computes the min/max for the axes, //compute a new number of bins, if necessary, //add bin contents, errors and statistics. //If overflows are present and limits are different the function will fail. //The function returns the total number of entries in the result histogram //if the merge is successfull, -1 otherwise. // //IMPORTANT remark. The 2 axis x and y may have different number //of bins and different limits, BUT the largest bin width must be //a multiple of the smallest bin width and the upper limit must also //be a multiple of the bin width. return TProfileHelper::Merge(this, li); // if (!li) return 0; // if (li->IsEmpty()) return (Int_t) GetEntries(); // TList inlist; // TH1* hclone = (TH1*)Clone("FirstClone"); // R__ASSERT(hclone); // BufferEmpty(1); // To remove buffer. // Reset(); // BufferEmpty sets limits so we can't use it later. // SetEntries(0); // inlist.Add(hclone); // inlist.AddAll(li); // TAxis newXAxis; // TAxis newYAxis; // TAxis newZAxis; // Bool_t initialLimitsFound = kFALSE; // Bool_t same = kTRUE; // Bool_t allHaveLimits = kTRUE; // TIter next(&inlist); // while (TObject *o = next()) { // TProfile3D* h = dynamic_cast<TProfile3D*> (o); // if (!h) { // Error("Add","Attempt to add object of class: %s to a %s", // o->ClassName(),this->ClassName()); // return -1; // } // Bool_t hasLimits = h->GetXaxis()->GetXmin() < h->GetXaxis()->GetXmax(); // allHaveLimits = allHaveLimits && hasLimits; // if (hasLimits) { // h->BufferEmpty(); // if (!initialLimitsFound) { // initialLimitsFound = kTRUE; // newXAxis.Set(h->GetXaxis()->GetNbins(), h->GetXaxis()->GetXmin(), // h->GetXaxis()->GetXmax()); // newYAxis.Set(h->GetYaxis()->GetNbins(), h->GetYaxis()->GetXmin(), // h->GetYaxis()->GetXmax()); // newZAxis.Set(h->GetZaxis()->GetNbins(), h->GetZaxis()->GetXmin(), // h->GetZaxis()->GetXmax()); // } // else { // if (!RecomputeAxisLimits(newXAxis, *(h->GetXaxis()))) { // Error("Merge", "Cannot merge histograms - limits are inconsistent:\n " // "first: (%d, %f, %f), second: (%d, %f, %f)", // newXAxis.GetNbins(), newXAxis.GetXmin(), newXAxis.GetXmax(), // h->GetXaxis()->GetNbins(), h->GetXaxis()->GetXmin(), // h->GetXaxis()->GetXmax()); // } // if (!RecomputeAxisLimits(newYAxis, *(h->GetYaxis()))) { // Error("Merge", "Cannot merge histograms - limits are inconsistent:\n " // "first: (%d, %f, %f), second: (%d, %f, %f)", // newYAxis.GetNbins(), newYAxis.GetXmin(), newYAxis.GetXmax(), // h->GetYaxis()->GetNbins(), h->GetYaxis()->GetXmin(), // h->GetYaxis()->GetXmax()); // } // if (!RecomputeAxisLimits(newZAxis, *(h->GetZaxis()))) { // Error("Merge", "Cannot merge histograms - limits are inconsistent:\n " // "first: (%d, %f, %f), second: (%d, %f, %f)", // newZAxis.GetNbins(), newZAxis.GetXmin(), newZAxis.GetXmax(), // h->GetZaxis()->GetNbins(), h->GetZaxis()->GetXmin(), // h->GetZaxis()->GetXmax()); // } // } // } // } // next.Reset(); // same = same && SameLimitsAndNBins(newXAxis, *GetXaxis()) // && SameLimitsAndNBins(newYAxis, *GetYaxis()) // && SameLimitsAndNBins(newZAxis, *GetZaxis()); // if (!same && initialLimitsFound) // SetBins(newXAxis.GetNbins(), newXAxis.GetXmin(), newXAxis.GetXmax(), // newYAxis.GetNbins(), newYAxis.GetXmin(), newYAxis.GetXmax(), // newZAxis.GetNbins(), newZAxis.GetXmin(), newZAxis.GetXmax()); // if (!allHaveLimits) { // // fill this histogram with all the data from buffers of histograms without limits // while (TProfile3D* h = dynamic_cast<TProfile3D*> (next())) { // if (h->GetXaxis()->GetXmin() >= h->GetXaxis()->GetXmax() && h->fBuffer) { // // no limits // Int_t nbentries = (Int_t)h->fBuffer[0]; // for (Int_t i = 0; i < nbentries; i++) // Fill(h->fBuffer[5*i + 2], h->fBuffer[5*i + 3], // h->fBuffer[5*i + 4], h->fBuffer[5*i + 5], h->fBuffer[5*i + 1]); // } // } // if (!initialLimitsFound) // return (Int_t) GetEntries(); // all histograms have been processed // next.Reset(); // } // //merge bin contents and errors // Double_t stats[kNstat], totstats[kNstat]; // for (Int_t i=0;i<kNstat;i++) {totstats[i] = stats[i] = 0;} // GetStats(totstats); // Double_t nentries = GetEntries(); // Int_t binx, biny, binz, ix, iy, iz, nx, ny, nz, bin, ibin; // Int_t nbix = fXaxis.GetNbins(); // Int_t nbiy = fYaxis.GetNbins(); // Bool_t canExtend = CanExtendAllAxes(); // SetCanExtend(TH1::kNoAxis); // reset, otherwise setting the under/overflow will rebin // while (TProfile3D* h=(TProfile3D*)next()) { // // process only if the histogram has limits; otherwise it was processed before // if (h->GetXaxis()->GetXmin() < h->GetXaxis()->GetXmax()) { // // import statistics // h->GetStats(stats); // for (Int_t i = 0; i < kNstat; i++) // totstats[i] += stats[i]; // nentries += h->GetEntries(); // nx = h->GetXaxis()->GetNbins(); // ny = h->GetYaxis()->GetNbins(); // nz = h->GetZaxis()->GetNbins(); // for (binz = 0; binz <= nz + 1; binz++) { // iz = fZaxis.FindBin(h->GetZaxis()->GetBinCenter(binz)); // for (biny = 0; biny <= ny + 1; biny++) { // iy = fYaxis.FindBin(h->GetYaxis()->GetBinCenter(biny)); // for (binx = 0; binx <= nx + 1; binx++) { // ix = fXaxis.FindBin(h->GetXaxis()->GetBinCenter(binx)); // bin = binx +(nx+2)*(biny + (ny+2)*binz); // ibin = ix +(nbix+2)*(iy + (nbiy+2)*iz); // if ((!same) && (binx == 0 || binx == nx + 1 // || biny == 0 || biny == ny + 1 // || binz == 0 || binz == nz + 1)) { // if (h->GetW()[bin] != 0) { // Error("Merge", "Cannot merge histograms - the histograms have" // " different limits and undeflows/overflows are present." // " The initial histogram is now broken!"); // return -1; // } // } // fArray[ibin] += h->GetW()[bin]; // fSumw2.fArray[ibin] += h->GetW2()[bin]; // fBinEntries.fArray[ibin] += h->GetB()[bin]; // } // } // } // fEntries += h->GetEntries(); // fTsumw += h->fTsumw; // fTsumw2 += h->fTsumw2; // fTsumwx += h->fTsumwx; // fTsumwx2 += h->fTsumwx2; // fTsumwy += h->fTsumwy; // fTsumwy2 += h->fTsumwy2; // fTsumwxy += h->fTsumwxy; // fTsumwz += h->fTsumwz; // fTsumwz2 += h->fTsumwz2; // fTsumwxz += h->fTsumwxz; // fTsumwyz += h->fTsumwyz; // fTsumwt += h->fTsumwt; // fTsumwt2 += h->fTsumwt2; // } // } // if (canExtend) SetCanExtend(TH1::kAllAxes); // //copy merged stats // PutStats(totstats); // SetEntries(nentries); // inlist.Remove(hclone); // delete hclone; // return (Long64_t)nentries; } //______________________________________________________________________________ Bool_t TProfile3D::Multiply(TF1 *, Double_t ) { // Performs the operation: this = this*c1*f1 Error("Multiply","Function not implemented for TProfile3D"); return kFALSE; } //______________________________________________________________________________ Bool_t TProfile3D::Multiply(const TH1 *) { //*-*-*-*-*-*-*-*-*-*-*Multiply this profile2D by h1*-*-*-*-*-*-*-*-*-*-*-* //*-* ============================= // // this = this*h1 // Error("Multiply","Multiplication of profile2D histograms not implemented"); return kFALSE; } //______________________________________________________________________________ Bool_t TProfile3D::Multiply(const TH1 *, const TH1 *, Double_t, Double_t, Option_t *) { //*-*-*-*-*Replace contents of this profile2D by multiplication of h1 by h2*-* //*-* ================================================================ // // this = (c1*h1)*(c2*h2) // Error("Multiply","Multiplication of profile2D histograms not implemented"); return kFALSE; } //______________________________________________________________________________ TH3D *TProfile3D::ProjectionXYZ(const char *name, Option_t *option) const { //*-*-*-*-*Project this profile3D into a 3-D histogram along X,Y,Z*-*-*-*-*-*-* //*-* ===================================================== // // The projection is always of the type TH3D. // // if option "E" is specified, the errors are computed. (default) // if option "B" is specified, the content of bin of the returned histogram // will be equal to the GetBinEntries(bin) of the profile, // if option "C=E" the bin contents of the projection are set to the // bin errors of the profile // if option "E" is specified the errors of the projected histogram are computed and set // to be equal to the errors of the profile. // Option "E" is defined as the default one in the header file. // if option "" is specified the histogram errors are simply the sqrt of its content // if option "B" is specified, the content of bin of the returned histogram // will be equal to the GetBinEntries(bin) of the profile, // if option "C=E" the bin contents of the projection are set to the // bin errors of the profile // if option "W" is specified the bin content of the projected histogram is set to the // product of the bin content of the profile and the entries. // With this option the returned histogram will be equivalent to the one obtained by // filling directly a TH2D using the 3-rd value as a weight. // This option makes sense only for profile filled with all weights =1. // When the profile is weighted (filled with weights different than 1) the // bin error of the projected histogram (obtained using this option "W") cannot be // correctly computed from the information stored in the profile. In that case the // obtained histogram contains as bin error square the weighted sum of the square of the // profiled observable (TProfile2D::fSumw2[bin] ) TString opt = option; opt.ToLower(); Int_t nx = fXaxis.GetNbins(); Int_t ny = fYaxis.GetNbins(); Int_t nz = fZaxis.GetNbins(); const TArrayD *xbins = fXaxis.GetXbins(); const TArrayD *ybins = fYaxis.GetXbins(); const TArrayD *zbins = fZaxis.GetXbins(); // Create the projection histogram TString pname = name; if (pname == "_px") { pname = GetName(); pname.Append("_pxyz"); } TH3D *h1 = 0 ; if (xbins->fN == 0 && ybins->fN == 0 && zbins->fN == 0) h1 = new TH3D(pname,GetTitle(),nx,fXaxis.GetXmin(),fXaxis.GetXmax(),ny,fYaxis.GetXmin(),fYaxis.GetXmax(),nz,fZaxis.GetXmin(),fZaxis.GetXmax()); else if ( xbins->fN != 0 && ybins->fN != 0 && zbins->fN != 0) h1 = new TH3D(pname,GetTitle(),nx,xbins->GetArray(),ny,ybins->GetArray(), nz,zbins->GetArray() ); else { Error("ProjectionXYZ","Histogram has an axis with variable bins and an axis with fixed bins. This case is not cupported - return a null pointer"); return 0; } Bool_t computeErrors = kFALSE; Bool_t cequalErrors = kFALSE; Bool_t binEntries = kFALSE; Bool_t binWeight = kFALSE; if (opt.Contains("b")) binEntries = kTRUE; if (opt.Contains("e")) computeErrors = kTRUE; if (opt.Contains("w")) binWeight = kTRUE; if (opt.Contains("c=e")) {cequalErrors = kTRUE; computeErrors=kFALSE;} if (computeErrors || binWeight || (binEntries && fBinSumw2.fN) ) h1->Sumw2(); // Fill the projected histogram Int_t bin,binx,biny,binz; Double_t cont; for (binx =0;binx<=nx+1;binx++) { for (biny =0;biny<=ny+1;biny++) { for (binz =0;binz<=nz+1;binz++) { bin = GetBin(binx,biny,binz); if (binEntries) cont = GetBinEntries(bin); else if (cequalErrors) cont = GetBinError(bin); else if (binWeight) cont = GetBinContent(bin) * GetBinEntries(bin); else cont = GetBinContent(bin); // default case h1->SetBinContent(bin ,cont); // if option E projected histogram errors are same as profile if (computeErrors ) h1->SetBinError(bin , GetBinError(bin) ); // in case of option W bin error is deduced from bin sum of z**2 values of profile // this is correct only if the profile is unweighted if (binWeight) h1->GetSumw2()->fArray[bin] = fSumw2.fArray[bin]; // in case of bin entries and profile is weighted, we need to set also the bin error if (binEntries && fBinSumw2.fN ) { R__ASSERT( h1->GetSumw2() ); h1->GetSumw2()->fArray[bin] = fBinSumw2.fArray[bin]; } } } } h1->SetEntries(fEntries); return h1; } //______________________________________________________________________________ TProfile2D *TProfile3D::Project3DProfile(Option_t *option) const { // *-*-*-*-*Project a 3-D profile into a 2D-profile histogram depending // on the option parameter // option may contain a combination of the characters x,y,z // option = "xy" return the x versus y projection into a TProfile2D histogram // option = "yx" return the y versus x projection into a TProfile2D histogram // option = "xz" return the x versus z projection into a TProfile2D histogram // option = "zx" return the z versus x projection into a TProfile2D histogram // option = "yz" return the y versus z projection into a TProfile2D histogram // option = "zy" return the z versus y projection into a TProfile2D histogram // NB: the notation "a vs b" means "a" vertical and "b" horizontalalong X*-*-*-*-*-* // // The resulting profile contains the combination of all the considered bins along X // By default, all bins are included considering also underflow/overflows // // The option can also be used to specify the projected profile error type. // Values which can be used are 's', 'i', or 'g'. See TProfile::BuildOptions for details // // To select a bin range along an axis, use TAxis::SetRange, eg // h3.GetYaxis()->SetRange(23,56); // // // can call TH3 method which will call the virtual method :DoProjectProfile2D reimplented below // but need to add underflow/overflow TString opt(option); opt.Append(" UF OF"); return TH3::Project3DProfile(opt); } //______________________________________________________________________________ TProfile2D *TProfile3D::DoProjectProfile2D(const char* name, const char * title, const TAxis* projX, const TAxis* projY, bool originalRange, bool useUF, bool useOF) const { // internal method to project to a 2D Profile // called from TH3::Project3DProfile but re-implemented in case of the TPRofile3D since what is done is different // Get the ranges where we will work. Int_t ixmin = projX->GetFirst(); Int_t ixmax = projX->GetLast(); Int_t iymin = projY->GetFirst(); Int_t iymax = projY->GetLast(); if (ixmin == 0 && ixmax == 0) { ixmin = 1; ixmax = projX->GetNbins(); } if (iymin == 0 && iymax == 0) { iymin = 1; iymax = projY->GetNbins(); } Int_t nx = ixmax-ixmin+1; Int_t ny = iymax-iymin+1; // Create the projected profiles TProfile2D *p2 = 0; // Create always a new TProfile2D (not as in the case of TH3 projection) const TArrayD *xbins = projX->GetXbins(); const TArrayD *ybins = projY->GetXbins(); // assume all axis have variable bins or have fixed bins if ( originalRange ) { if (xbins->fN == 0 && ybins->fN == 0) { p2 = new TProfile2D(name,title,projY->GetNbins(),projY->GetXmin(),projY->GetXmax() ,projX->GetNbins(),projX->GetXmin(),projX->GetXmax()); } else { p2 = new TProfile2D(name,title,projY->GetNbins(),&ybins->fArray[iymin-1],projX->GetNbins(),&xbins->fArray[ixmin-1]); } } else { if (xbins->fN == 0 && ybins->fN == 0) { p2 = new TProfile2D(name,title,ny,projY->GetBinLowEdge(iymin),projY->GetBinUpEdge(iymax) ,nx,projX->GetBinLowEdge(ixmin),projX->GetBinUpEdge(ixmax)); } else { p2 = new TProfile2D(name,title,ny,&ybins->fArray[iymin-1],nx,&xbins->fArray[ixmin-1]); } } // weights bool useWeights = (fBinSumw2.fN != 0); if (useWeights) p2->Sumw2(); // make projection in a 3D first TH3D * h3dW = ProjectionXYZ("h3temp-W","W"); TH3D * h3dN = ProjectionXYZ("h3temp-N","B"); h3dW->SetDirectory(0); h3dN->SetDirectory(0); // note that h3dW is always a weighted histogram - so we need to compute error in the projection TAxis * projX_hW = h3dW->GetXaxis(); TAxis * projX_hN = h3dN->GetXaxis(); if (projX == GetYaxis() ) { projX_hW = h3dW->GetYaxis(); projX_hN = h3dN->GetYaxis(); } if (projX == GetZaxis() ) { projX_hW = h3dW->GetZaxis(); projX_hN = h3dN->GetZaxis(); } TAxis * projY_hW = h3dW->GetYaxis(); TAxis * projY_hN = h3dN->GetYaxis(); if (projY == GetXaxis() ) { projY_hW = h3dW->GetXaxis(); projY_hN = h3dN->GetXaxis(); } if (projY == GetZaxis() ) { projY_hW = h3dW->GetZaxis(); projY_hN = h3dN->GetZaxis(); } TH2D * h2W = TH3::DoProject2D(*h3dW,"htemp-W","",projX_hW, projY_hW, true, originalRange, useUF, useOF); TH2D * h2N = TH3::DoProject2D(*h3dN,"htemp-N","",projX_hN, projY_hN, useWeights, originalRange, useUF, useOF); h2W->SetDirectory(0); h2N->SetDirectory(0); // fill the bin content R__ASSERT( h2W->fN == p2->fN ); R__ASSERT( h2N->fN == p2->fN ); R__ASSERT( h2W->GetSumw2()->fN != 0); // h2W should always be a weighted histogram since h3dW is weighted for (int i = 0; i < p2->fN ; ++i) { //std::cout << " proj bin " << i << " " << h2W->fArray[i] << " " << h2N->fArray[i] << std::endl; p2->fArray[i] = h2W->fArray[i]; // array of profile is sum of all values p2->GetSumw2()->fArray[i] = h2W->GetSumw2()->fArray[i]; // array of content square of profile is weight square of the W projected histogram p2->SetBinEntries(i, h2N->fArray[i] ); if (useWeights) p2->GetBinSumw2()->fArray[i] = h2N->GetSumw2()->fArray[i]; // sum of weight squares are stored to compute errors in h1N histogram } // delete the created histograms delete h3dW; delete h3dN; delete h2W; delete h2N; // Also we need to set the entries since they have not been correctly calculated during the projection // we can only set them to the effective entries p2->SetEntries( p2->GetEffectiveEntries() ); return p2; } //______________________________________________________________________________ void TProfile3D::PutStats(Double_t *stats) { // Replace current statistics with the values in array stats TH3::PutStats(stats); fTsumwt = stats[11]; fTsumwt2 = stats[12]; } //______________________________________________________________________________ void TProfile3D::Reset(Option_t *option) { //*-*-*-*-*-*-*-*-*-*Reset contents of a Profile3D histogram*-*-*-*-*-*-*-* //*-* ======================================= TH3D::Reset(option); fBinSumw2.Reset(); fBinEntries.Reset(); TString opt = option; opt.ToUpper(); if (opt.Contains("ICE") && !opt.Contains("S")) return; fTsumwt = fTsumwt2 = 0; } //______________________________________________________________________________ void TProfile3D::ExtendAxis(Double_t x, TAxis *axis) { // Profile histogram is resized along axis such that x is in the axis range. // The new axis limits are recomputed by doubling iteratively // the current axis range until the specified value x is within the limits. // The algorithm makes a copy of the histogram, then loops on all bins // of the old histogram to fill the rebinned histogram. // Takes into account errors (Sumw2) if any. // The axis must be rebinnable before invoking this function. // Ex: h->GetXaxis()->SetCanExtend(kTRUE) TProfile3D* hold = TProfileHelper::ExtendAxis(this, x, axis); if ( hold ) { fTsumwt = hold->fTsumwt; fTsumwt2 = hold->fTsumwt2; delete hold; } } //______________________________________________________________________________ void TProfile3D::SavePrimitive(std::ostream &out, Option_t *option /*= ""*/) { // Save primitive as a C++ statement(s) on output stream out //Note the following restrictions in the code generated: // - variable bin size not implemented // - SetErrorOption not implemented char quote = '"'; out <<" "<<std::endl; out <<" "<<ClassName()<<" *"; out << GetName() << " = new " << ClassName() << "(" << quote << GetName() << quote << "," << quote<< GetTitle() << quote << "," << GetXaxis()->GetNbins(); out << "," << GetXaxis()->GetXmin() << "," << GetXaxis()->GetXmax(); out << "," << GetYaxis()->GetNbins(); out << "," << GetYaxis()->GetXmin() << "," << GetYaxis()->GetXmax(); out << "," << GetZaxis()->GetNbins(); out << "," << GetZaxis()->GetXmin() << "," << GetZaxis()->GetXmax(); out << "," << fTmin << "," << fTmax; out << ");" << std::endl; // save bin entries Int_t bin; for (bin=0;bin<fNcells;bin++) { Double_t bi = GetBinEntries(bin); if (bi) { out<<" "<<GetName()<<"->SetBinEntries("<<bin<<","<<bi<<");"<<std::endl; } } //save bin contents for (bin=0;bin<fNcells;bin++) { Double_t bc = fArray[bin]; if (bc) { out<<" "<<GetName()<<"->SetBinContent("<<bin<<","<<bc<<");"<<std::endl; } } // save bin errors if (fSumw2.fN) { for (bin=0;bin<fNcells;bin++) { Double_t be = TMath::Sqrt(fSumw2.fArray[bin]); if (be) { out<<" "<<GetName()<<"->SetBinError("<<bin<<","<<be<<");"<<std::endl; } } } TH1::SavePrimitiveHelp(out, GetName(), option); } //______________________________________________________________________________ void TProfile3D::Scale(Double_t c1, Option_t *option) { // *-*-*-*-*Multiply this profile2D by a constant c1*-*-*-*-*-*-*-*-* // *-* ======================================== // // this = c1*this // // This function uses the services of TProfile3D::Add // TProfileHelper::Scale(this, c1, option); } //______________________________________________________________________________ void TProfile3D::SetBinEntries(Int_t bin, Double_t w) { //*-*-*-*-*-*-*-*-*Set the number of entries in bin*-*-*-*-*-*-*-*-*-*-*-* //*-* ================================ TProfileHelper::SetBinEntries(this, bin, w); } //______________________________________________________________________________ void TProfile3D::SetBins(Int_t nx, Double_t xmin, Double_t xmax, Int_t ny, Double_t ymin, Double_t ymax, Int_t nz, Double_t zmin, Double_t zmax) { // -*-*-*-*-*-*-*Redefine x, y and z axis parameters*-*-*-*-*-*-*-*-*-*-*-* //*-* =========================== TH1::SetBins(nx, xmin, xmax, ny, ymin, ymax, nz, zmin, zmax); fBinEntries.Set(fNcells); if (fBinSumw2.fN) fBinSumw2.Set(fNcells); } //______________________________________________________________________________ void TProfile3D::SetBins(Int_t nx, const Double_t *xBins, Int_t ny, const Double_t *yBins, Int_t nz, const Double_t *zBins) { // -*-*-*-*-*-*-*Redefine x, y and z axis parameters with variable bin sizes *-*-*-*-*-*-*-*-* // ============================================================ TH1::SetBins(nx,xBins,ny,yBins,nz,zBins); fBinEntries.Set(fNcells); if (fBinSumw2.fN) fBinSumw2.Set(fNcells); } //______________________________________________________________________________ void TProfile3D::SetBinsLength(Int_t n) { // Set total number of bins including under/overflow // Reallocate bin contents array TH3D::SetBinsLength(n); TProfileHelper::BuildArray(this); } //______________________________________________________________________________ void TProfile3D::SetBuffer(Int_t buffersize, Option_t *) { // set the buffer size in units of 8 bytes (double) if (fBuffer) { BufferEmpty(); delete [] fBuffer; fBuffer = 0; } if (buffersize <= 0) { fBufferSize = 0; return; } if (buffersize < 100) buffersize = 100; fBufferSize = 1 + 5*buffersize; fBuffer = new Double_t[fBufferSize]; memset(fBuffer,0,sizeof(Double_t)*fBufferSize); } //______________________________________________________________________________ void TProfile3D::SetErrorOption(Option_t *option) { //*-*-*-*-*-*-*-*-*-*Set option to compute profile3D errors*-*-*-*-*-*-*-* //*-* ======================================= // // The computation of the bin errors is based on the parameter option: // option: // ' ' (Default) The bin errors are the standard error on the mean of the bin profiled values (T), // i.e. the standard error of the bin contents. // Note that if TProfile3D::Approximate() is called, an approximation is used when // the spread in T is 0 and the number of bin entries is > 0 // // 's' The bin errors are the standard deviations of the T bin values // Note that if TProfile3D::Approximate() is called, an approximation is used when // the spread in T is 0 and the number of bin entries is > 0 // // 'i' Errors are as in default case (standard errors of the bin contents) // The only difference is for the case when the spread in T is zero. // In this case for N > 0 the error is 1./SQRT(12.*N) // // 'g' Errors are 1./SQRT(W) for W not equal to 0 and 0 for W = 0. // W is the sum in the bin of the weights of the profile. // This option is for combining measurements t +/- dt, // and the profile is filled with values t and weights w = 1/dt**2 // // See TProfile::BuildOptions for explanation of all options TProfileHelper::SetErrorOption(this, option); } //______________________________________________________________________________ void TProfile3D::Sumw2(Bool_t flag) { // Create/Delete structure to store sum of squares of weights per bin *-*-*-*-*-*-*-* // This is needed to compute the correct statistical quantities // of a profile filled with weights // // // This function is automatically called when the histogram is created // if the static function TH1::SetDefaultSumw2 has been called before. // If flag = false the structure is deleted TProfileHelper::Sumw2(this, flag); }