107 :
TH1(
name,title,nbinsx,xlow,xup)
111 Warning(
"TH3",
"nbinsy is <=0 - set to nbinsy = 1");
115 Warning(
"TH3",
"nbinsz is <=0 - set to nbinsz = 1");
118 fYaxis.Set(nbinsy,ylow,yup);
119 fZaxis.Set(nbinsz,zlow,zup);
120 fNcells = (nbinsx+2)*(nbinsy+2)*(nbinsz+2);
151 if (nbinsy <= 0) {
Warning(
"TH3",
"nbinsy is <=0 - set to nbinsy = 1"); nbinsy = 1; }
152 if (nbinsz <= 0) nbinsz = 1;
153 if (ybins)
fYaxis.Set(nbinsy,ybins);
154 else fYaxis.Set(nbinsy,0,1);
155 if (zbins)
fZaxis.Set(nbinsz,zbins);
156 else fZaxis.Set(nbinsz,0,1);
157 fNcells = (nbinsx+2)*(nbinsy+2)*(nbinsz+2);
188 if (nbinsy <= 0) {
Warning(
"TH3",
"nbinsy is <=0 - set to nbinsy = 1"); nbinsy = 1; }
189 if (nbinsz <= 0) nbinsz = 1;
190 if (ybins)
fYaxis.Set(nbinsy,ybins);
191 else fYaxis.Set(nbinsy,0,1);
192 if (zbins)
fZaxis.Set(nbinsz,zbins);
193 else fZaxis.Set(nbinsz,0,1);
194 fNcells = (nbinsx+2)*(nbinsy+2)*(nbinsz+2);
236 if (!nbentries)
return 0;
239 if (action == 0)
return 0;
240 nbentries = -nbentries;
245 const bool xbinAuto =
fXaxis.GetXmax() <=
fXaxis.GetXmin();
246 const bool ybinAuto =
fYaxis.GetXmax() <=
fYaxis.GetXmin();
247 const bool zbinAuto =
fZaxis.GetXmax() <=
fZaxis.GetXmin();
256 for (
Int_t i=1;i<nbentries;i++) {
269 if (z < zmin) zmin = z;
270 if (z > zmax) zmax = z;
273 if (xbinAuto || ybinAuto || zbinAuto) {
276 ybinAuto ? 0 :
fYaxis.GetNbins(), zbinAuto ? 0 :
fZaxis.GetNbins());
292 for (
Int_t i=0;i<nbentries;i++) {
293 Fill(buffer[4*i+2],buffer[4*i+3],buffer[4*i+4],buffer[4*i+1]);
320 nbentries = -nbentries;
346 Error(
"Fill",
"Invalid signature - do nothing");
361 Int_t binx, biny, binz, bin;
366 if (binx <0 || biny <0 || binz<0)
return -1;
367 bin = binx + (
fXaxis.GetNbins()+2)*(biny + (
fYaxis.GetNbins()+2)*binz);
370 if (binx == 0 || binx >
fXaxis.GetNbins()) {
374 if (biny == 0 || biny >
fYaxis.GetNbins()) {
377 if (binz == 0 || binz >
fZaxis.GetNbins()) {
409 Int_t binx, biny, binz, bin;
414 if (binx <0 || biny <0 || binz<0)
return -1;
415 bin = binx + (
fXaxis.GetNbins()+2)*(biny + (
fYaxis.GetNbins()+2)*binz);
419 if (binx == 0 || binx >
fXaxis.GetNbins()) {
422 if (biny == 0 || biny >
fYaxis.GetNbins()) {
425 if (binz == 0 || binz >
fZaxis.GetNbins()) {
442#ifdef TH3D_FILL_THREADSAFE
456 throw std::logic_error(
"TH3 cannot be filled atomically when buffer is active.");
458 throw std::logic_error(
459 "Weighted filling 'Sumw2()' needs to be activated before FillThreadSafe is called with weights");
464 const auto binx =
fXaxis.FindFixBin(
x);
465 const auto biny =
fYaxis.FindFixBin(
y);
466 const auto binz =
fZaxis.FindFixBin(z);
467 if (binx < 0 || biny < 0 || binz < 0)
469 const auto bin = binx + (
fXaxis.GetNbins() + 2) * (biny + (
fYaxis.GetNbins() + 2) * binz);
471 std::atomic_ref{
fSumw2.fArray[bin]} += w *
w;
474 std::atomic_ref{
fArray[bin]} += w;
476 if (binx == 0 || binx >
fXaxis.GetNbins() || biny == 0 || biny >
fYaxis.GetNbins() || binz == 0 ||
477 binz >
fZaxis.GetNbins()) {
482 std::atomic_ref{
fTsumw} += w;
489 std::atomic_ref{
fTsumwz} += w * z;
507 Int_t binx, biny, binz, bin;
509 binx =
fXaxis.FindBin(namex);
510 biny =
fYaxis.FindBin(namey);
511 binz =
fZaxis.FindBin(namez);
512 if (binx <0 || biny <0 || binz<0)
return -1;
513 bin = binx + (
fXaxis.GetNbins()+2)*(biny + (
fYaxis.GetNbins()+2)*binz);
517 if (binx == 0 || binx >
fXaxis.GetNbins())
return -1;
518 if (biny == 0 || biny >
fYaxis.GetNbins())
return -1;
519 if (binz == 0 || binz >
fZaxis.GetNbins())
return -1;
555 Int_t binx, biny, binz, bin;
557 binx =
fXaxis.FindBin(namex);
559 binz =
fZaxis.FindBin(namez);
560 if (binx <0 || biny <0 || binz<0)
return -1;
561 bin = binx + (
fXaxis.GetNbins()+2)*(biny + (
fYaxis.GetNbins()+2)*binz);
565 if (binx == 0 || binx >
fXaxis.GetNbins())
return -1;
566 if (biny == 0 || biny >
fYaxis.GetNbins()) {
569 if (binz == 0 || binz >
fZaxis.GetNbins())
return -1;
603 Int_t binx, biny, binz, bin;
605 binx =
fXaxis.FindBin(namex);
606 biny =
fYaxis.FindBin(namey);
608 if (binx <0 || biny <0 || binz<0)
return -1;
609 bin = binx + (
fXaxis.GetNbins()+2)*(biny + (
fYaxis.GetNbins()+2)*binz);
613 if (binx == 0 || binx >
fXaxis.GetNbins())
return -1;
614 if (biny == 0 || biny >
fYaxis.GetNbins())
return -1;
615 if (binz == 0 || binz >
fZaxis.GetNbins()) {
651 Int_t binx, biny, binz, bin;
654 biny =
fYaxis.FindBin(namey);
655 binz =
fZaxis.FindBin(namez);
656 if (binx <0 || biny <0 || binz<0)
return -1;
657 bin = binx + (
fXaxis.GetNbins()+2)*(biny + (
fYaxis.GetNbins()+2)*binz);
661 if (binx == 0 || binx >
fXaxis.GetNbins()) {
664 if (biny == 0 || biny >
fYaxis.GetNbins())
return -1;
665 if (binz == 0 || binz >
fZaxis.GetNbins())
return -1;
699 Int_t binx, biny, binz, bin;
701 binx =
fXaxis.FindBin(namex);
704 if (binx < 0 || biny < 0 || binz < 0)
706 bin = binx + (
fXaxis.GetNbins() + 2) * (biny + (
fYaxis.GetNbins() + 2) * binz);
710 fSumw2.fArray[bin] += w * w;
712 if (binx == 0 || binx >
fXaxis.GetNbins()) {
715 if (biny == 0 || biny >
fYaxis.GetNbins()) {
719 if (binz == 0 || binz >
fZaxis.GetNbins()) {
753 Int_t binx, biny, binz, bin;
756 biny =
fYaxis.FindBin(namey);
758 if (binx <0 || biny <0 || binz<0)
return -1;
759 bin = binx + (
fXaxis.GetNbins()+2)*(biny + (
fYaxis.GetNbins()+2)*binz);
763 if (binx == 0 || binx >
fXaxis.GetNbins()) {
766 if (biny == 0 || biny >
fYaxis.GetNbins())
return -1;
767 if (binz == 0 || binz >
fZaxis.GetNbins()) {
802 Int_t binx, biny, binz, bin;
806 binz =
fZaxis.FindBin(namez);
807 if (binx <0 || biny <0 || binz<0)
return -1;
808 bin = binx + (
fXaxis.GetNbins()+2)*(biny + (
fYaxis.GetNbins()+2)*binz);
812 if (binx == 0 || binx >
fXaxis.GetNbins()) {
815 if (biny == 0 || biny >
fYaxis.GetNbins()) {
818 if (binz == 0 || binz >
fZaxis.GetNbins())
return -1;
864 Int_t bin, binx, biny, binz, ibin, loop;
866 TF3 *
f1 =
dynamic_cast<TF3*
>( fobj );
867 if (!
f1) {
Error(
"FillRandom",
"Function: %s is not a TF3, is a %s",fobj->
GetName(),fobj->
IsA()->
GetName());
return; }
877 Info(
"FillRandom",
"Using function axis and range ([%g,%g],[%g,%g],[%g,%g])",
xmin,
xmax,
ymin,
ymax,zmin,zmax);
887 Int_t nxy = nbinsx*nbinsy;
888 Int_t nbins = nbinsx*nbinsy*nbinsz;
894 for (binz=1;binz<=nbinsz;binz++) {
896 for (biny=1;biny<=nbinsy;biny++) {
898 for (binx=1;binx<=nbinsx;binx++) {
906 integral[ibin] = integral[ibin-1] + fint;
912 if (integral[nbins] == 0 ) {
914 Error(
"FillRandom",
"Integral = zero");
return;
916 for (bin=1;bin<=nbins;bin++) integral[bin] /= integral[nbins];
921 for (loop=0;loop<ntimes;loop++) {
925 biny = (ibin - nxy*binz)/nbinsx;
926 binx = 1 + ibin - nbinsx*(biny + nbinsy*binz);
956 if (!
h) {
Error(
"FillRandom",
"Null histogram");
return; }
958 Error(
"FillRandom",
"Histograms with different dimensions");
return;
961 if (
h->ComputeIntegral() == 0)
return;
966 for (loop=0;loop<ntimes;loop++) {
1011 auto computeFirstAndLastBin = [](
const TAxis & outerAxis,
Int_t &firstbin,
Int_t &lastbin) {
1015 lastbin = outerAxis.
GetLast();
1019 if (firstbin == 0 && lastbin == 0) {
1024 if (firstbin < 0) firstbin = 0;
1025 if (lastbin < 0 || lastbin > nbins + 1) lastbin = nbins + 1;
1026 if (lastbin < firstbin) {firstbin = 0; lastbin = nbins + 1;}
1029 computeFirstAndLastBin(
fXaxis, binminx, binmaxx);
1030 computeFirstAndLastBin(
fYaxis, binminy, binmaxy);
1033 auto computeAxisLimits = [](
const TAxis & outerAxis,
Int_t firstbin,
Int_t lastbin,
1035 Int_t firstOutBin = std::max(firstbin,1);
1036 Int_t lastOutBin = std::min(lastbin,outerAxis.
GetNbins() ) ;
1037 nBins = lastOutBin-firstOutBin+1;
1045 Int_t firstBinXaxis = computeAxisLimits(
fXaxis, binminx, binmaxx, nbinsX, xMin, xMax);
1048 Int_t firstBinYaxis = computeAxisLimits(
fYaxis, binminy, binmaxy, nbinsY, yMin, yMax);
1051 if (
f1 ==
nullptr) {
1056 const char *fname =
f1->GetName();
1059 f1->GetParameters(parsave);
1065 std::vector<TH1*> hlist(npar+1);
1068 for (ipar=0;ipar<= npar;ipar++) {
1072 title =
TString::Format(
"Fitted value of par[%d]=%s",ipar,
f1->GetParName(ipar));
1076 title =
"chisquare";
1078 if (xbins->fN == 0 && ybins->
fN == 0) {
1079 hlist[ipar] =
new TH2D(
name, title,
1081 nbinsY, yMin, yMax);
1082 }
else if (xbins->fN > 0 && ybins->
fN > 0 ) {
1083 hlist[ipar] =
new TH2D(
name, title,
1084 nbinsX, &xbins->fArray[firstBinXaxis],
1085 nbinsY, &ybins->
fArray[firstBinYaxis]);
1090 hlist[ipar]->GetXaxis()->SetTitle(
fXaxis.GetTitle());
1091 hlist[ipar]->GetYaxis()->SetTitle(
fYaxis.GetTitle());
1093 TH1 * hchi2 = hlist.back();
1096 TH1D *hpz =
nullptr;
1101 for (
Int_t biny=binminy; biny<=binmaxy; biny++) {
1102 for (
Int_t binx=binminx; binx<=binmaxx; binx++) {
1109 Info(
"FitSlicesZ",
"Slice (%d,%d) skipped, the number of entries is zero or smaller than the given cut value, n=%f",binx,biny,
nentries);
1112 f1->SetParameters(parsave);
1113 Int_t bin = hlist[0]->FindBin(
fXaxis.GetBinCenter(binx),
fYaxis.GetBinCenter(biny) );
1115 int ibx,iby,ibz = 0;
1116 hlist[0]->GetBinXYZ(bin,ibx,iby,ibz);
1121 Int_t npfits =
f1->GetNumberFitPoints();
1122 if (npfits > npar && npfits >= cut) {
1123 for (ipar=0;ipar<npar;ipar++) {
1124 hlist[ipar]->SetBinContent(bin,
f1->GetParameter(ipar));
1125 hlist[ipar]->SetBinError(bin,
f1->GetParError(ipar));
1131 Info(
"FitSlicesZ",
"Fitted slice (%d,%d) skipped, the number of fitted points is too small, n=%d",binx,biny,npfits);
1146 if (biny < 0) biny = 0;
1147 if (biny > ofy) biny = ofy;
1150 if (binz < 0) binz = 0;
1151 if (binz > ofz) binz = ofz;
1187 Error(
"GetBinWithContent3",
"function is only valid for 3-D histograms");
1190 if (firstx <= 0) firstx = 1;
1191 if (lastx < firstx) lastx =
fXaxis.GetNbins();
1192 if (firsty <= 0) firsty = 1;
1193 if (lasty < firsty) lasty =
fYaxis.GetNbins();
1194 if (firstz <= 0) firstz = 1;
1195 if (lastz < firstz) lastz =
fZaxis.GetNbins();
1196 Int_t binminx = 0, binminy=0, binminz=0;
1198 for (
Int_t k=firstz;k<=lastz;k++) {
1199 for (
Int_t j=firsty;j<=lasty;j++) {
1200 for (
Int_t i=firstx;i<=lastx;i++) {
1202 if (diff <= 0) {binx = i; biny=j; binz=k;
return diff;}
1203 if (diff < curmax && diff <= maxdiff) {curmax = diff, binminx=i; binminy=j;binminz=k;}
1219 if (axis1 < 1 || axis2 < 1 || axis1 > 3 || axis2 > 3) {
1220 Error(
"GetCorrelationFactor",
"Wrong parameters");
1223 if (axis1 == axis2)
return 1;
1225 if (stddev1 == 0)
return 0;
1227 if (stddev2 == 0)
return 0;
1237 if (axis1 < 1 || axis2 < 1 || axis1 > 3 || axis2 > 3) {
1238 Error(
"GetCovariance",
"Wrong parameters");
1254 if (sumw == 0)
return 0;
1255 if (axis1 == 1 && axis2 == 1) {
1256 return TMath::Abs(sumwx2/sumw - sumwx*sumwx/(sumw*sumw));
1258 if (axis1 == 2 && axis2 == 2) {
1259 return TMath::Abs(sumwy2/sumw - sumwy*sumwy/(sumw*sumw));
1261 if (axis1 == 3 && axis2 == 3) {
1262 return TMath::Abs(sumwz2/sumw - sumwz*sumwz/(sumw*sumw));
1264 if ((axis1 == 1 && axis2 == 2) || (axis1 == 2 && axis2 == 1)) {
1265 return sumwxy/sumw - sumwx*sumwy/(sumw*sumw);
1267 if ((axis1 == 1 && axis2 == 3) || (axis1 == 3 && axis2 == 1)) {
1268 return sumwxz/sumw - sumwx*sumwz/(sumw*sumw);
1270 if ((axis1 == 2 && axis2 == 3) || (axis1 == 3 && axis2 == 2)) {
1271 return sumwyz/sumw - sumwy*sumwz/(sumw*sumw);
1291 Int_t nxy = nbinsx*nbinsy;
1292 Int_t nbins = nxy*nbinsz;
1302 if (integral == 0 ) {
x = 0;
y = 0; z = 0;
return;}
1309 Int_t binz = ibin/nxy;
1310 Int_t biny = (ibin - nxy*binz)/nbinsx;
1311 Int_t binx = ibin - nbinsx*(biny + nbinsy*binz);
1312 x =
fXaxis.GetBinLowEdge(binx+1);
1339 Int_t bin, binx, biny, binz;
1343 for (bin=0;bin<11;bin++) stats[bin] = 0;
1354 if (firstBinX == 1) firstBinX = 0;
1355 if (lastBinX ==
fXaxis.GetNbins() ) lastBinX += 1;
1358 if (firstBinY == 1) firstBinY = 0;
1359 if (lastBinY ==
fYaxis.GetNbins() ) lastBinY += 1;
1362 if (firstBinZ == 1) firstBinZ = 0;
1363 if (lastBinZ ==
fZaxis.GetNbins() ) lastBinZ += 1;
1372 for (binz = firstBinZ; binz <= lastBinZ; binz++) {
1373 z = (!labelZaxis) ?
fZaxis.GetBinCenter(binz) : 0;
1374 for (biny = firstBinY; biny <= lastBinY; biny++) {
1375 y = (!labelYaxis) ?
fYaxis.GetBinCenter(biny) : 0;
1376 for (binx = firstBinX; binx <= lastBinX; binx++) {
1377 bin =
GetBin(binx,biny,binz);
1378 x = (!labelXaxis) ?
fXaxis.GetBinCenter(binx) : 0;
1437 return DoIntegral(binx1,binx2,biny1,biny2,binz1,binz2,
err,option);
1453 return DoIntegral(binx1,binx2,biny1,biny2,binz1,binz2,error,option,
kTRUE);
1461 Error(
"Interpolate",
"This function must be called with 3 arguments for a TH3");
1471 Error(
"Interpolate",
"This function must be called with 3 arguments for a TH3");
1488 if (
x <
fXaxis.GetBinCenter(ubx) ) ubx -= 1;
1489 Int_t obx = ubx + 1;
1492 if (
y <
fYaxis.GetBinCenter(uby) ) uby -= 1;
1493 Int_t oby = uby + 1;
1496 if ( z <
fZaxis.GetBinCenter(ubz) ) ubz -= 1;
1497 Int_t obz = ubz + 1;
1499 auto GetBinCenterExtrapolate = [](
TAxis const &axis,
Int_t index) {
1505 }
else if (index == axis.
GetNbins() + 1) {
1520 auto GetBinContentNoOverflow = [
this](
int ix,
int iy,
int iz) {
1530 Double_t v[] = {GetBinContentNoOverflow(ubx, uby, ubz), GetBinContentNoOverflow(ubx, uby, obz),
1531 GetBinContentNoOverflow(ubx, oby, ubz), GetBinContentNoOverflow(ubx, oby, obz),
1532 GetBinContentNoOverflow(obx, uby, ubz), GetBinContentNoOverflow(obx, uby, obz),
1533 GetBinContentNoOverflow(obx, oby, ubz), GetBinContentNoOverflow(obx, oby, obz)};
1541 Double_t w1 = i1 * (1 - yd) + i2 * yd;
1542 Double_t w2 = j1 * (1 - yd) + j2 * yd;
1545 Double_t result = w1 * (1 - xd) + w2 * xd;
1578 if (h2 ==
nullptr)
return 0;
1579 const TAxis *xaxis1 =
h1->GetXaxis();
1581 const TAxis *yaxis1 =
h1->GetYaxis();
1583 const TAxis *zaxis1 =
h1->GetZaxis();
1594 Error(
"KolmogorovTest",
"Histograms must be 3-D\n");
1600 Error(
"KolmogorovTest",
"Number of channels in X is different, %d and %d\n",ncx1,ncx2);
1604 Error(
"KolmogorovTest",
"Number of channels in Y is different, %d and %d\n",ncy1,ncy2);
1608 Error(
"KolmogorovTest",
"Number of channels in Z is different, %d and %d\n",ncz1,ncz2);
1618 if (diff1 > difprec || diff2 > difprec) {
1619 Error(
"KolmogorovTest",
"histograms with different binning along X");
1624 if (diff1 > difprec || diff2 > difprec) {
1625 Error(
"KolmogorovTest",
"histograms with different binning along Y");
1630 if (diff1 > difprec || diff2 > difprec) {
1631 Error(
"KolmogorovTest",
"histograms with different binning along Z");
1636 Int_t ibeg = 1, jbeg = 1, kbeg = 1;
1637 Int_t iend = ncx1, jend = ncy1, kend = ncz1;
1638 if (opt.
Contains(
"U")) {ibeg = 0; jbeg = 0; kbeg = 0;}
1639 if (opt.
Contains(
"O")) {iend = ncx1+1; jend = ncy1+1; kend = ncz1+1;}
1646 for (i = ibeg; i <= iend; i++) {
1647 for (j = jbeg; j <= jend; j++) {
1648 for (k = kbeg; k <= kend; k++) {
1649 bin =
h1->GetBin(i,j,k);
1650 sum1 +=
h1->GetBinContent(bin);
1663 Error(
"KolmogorovTest",
"Integral is zero for h1=%s\n",
h1->GetName());
1667 Error(
"KolmogorovTest",
"Integral is zero for h2=%s\n",h2->
GetName());
1675 esum1 = sum1 * sum1 / w1;
1680 esum2 = sum2 * sum2 / w2;
1684 if (afunc2 && afunc1) {
1685 Error(
"KolmogorovTest",
"Errors are zero for both histograms\n");
1691 int order[3] = {0,1,2};
1695 binbeg[0] = ibeg; binbeg[1] = jbeg; binbeg[2] = kbeg;
1696 binend[0] = iend; binend[1] = jend; binend[2] = kend;
1705 for (i = binbeg[order[0] ]; i <= binend[order[0] ]; i++) {
1706 for ( j = binbeg[order[1] ]; j <= binend[order[1] ]; j++) {
1707 for ( k = binbeg[order[2] ]; k <= binend[order[2] ]; k++) {
1708 ibin[ order[0] ] = i;
1709 ibin[ order[1] ] = j;
1710 ibin[ order[2] ] = k;
1711 bin =
h1->GetBin(ibin[0],ibin[1],ibin[2]);
1712 rsum1 +=
s1*
h1->GetBinContent(bin);
1718 vdfmax[icomb] = dmax;
1737 if (opt.
Contains(
"N") && !(afunc1 || afunc2 ) ) {
1741 Double_t chi2 = d12*d12/(esum1+esum2);
1744 if (prb > 0 && prb2 > 0) prb = prb*prb2*(1-
TMath::Log(prb*prb2));
1750 printf(
" Kolmo Prob h1 = %s, sum1=%g\n",
h1->GetName(),sum1);
1751 printf(
" Kolmo Prob h2 = %s, sum2=%g\n",h2->
GetName(),sum2);
1752 printf(
" Kolmo Probabil = %f, Max Dist = %g\n",prb,dfmax);
1754 printf(
" Kolmo Probabil = %f for shape alone, =%f for normalisation alone\n",prb1,prb2);
1757 if (
TMath::Abs(rsum1-1) > 0.002)
Warning(
"KolmogorovTest",
"Numerical problems with h1=%s\n",
h1->GetName());
1760 if (opt.
Contains(
"M"))
return dfmax;
1902 computeErrors =
kTRUE;
1907 originalRange =
kTRUE;
1939 bool computeErrors,
bool originalRange,
1940 bool useUF,
bool useOF,
bool useWidth)
const
1949 Int_t nx = ixmax-ixmin+1;
1955 Error(
"DoProject1D",
"Histogram with name %s must be a TH1D and is a %s",
name,h1obj->
ClassName());
1962 if ( originalRange )
1964 if (bins->
fN == 0) {
1970 if (bins->
fN == 0) {
1973 h1->SetBins(nx,&bins->
fArray[ixmin-1]);
1980 if ( originalRange )
1982 if (bins->
fN == 0) {
1988 if (bins->
fN == 0) {
1997 h1->GetXaxis()->ImportAttributes(projX);
2014 if ( computeErrors && (
h1->GetSumw2N() !=
h1->GetNcells() ) )
h1->Sumw2();
2018 if (out1 ==
nullptr && out2 ==
nullptr) {
2030 R__ASSERT(out1 !=
nullptr && out2 !=
nullptr);
2032 Int_t *refX =
nullptr, *refY =
nullptr, *refZ =
nullptr;
2033 Int_t ixbin, out1bin, out2bin;
2049 R__ASSERT (refX !=
nullptr && refY !=
nullptr && refZ !=
nullptr);
2070 if ( labels && extendable )
h1->GetXaxis()->SetCanExtend(
kFALSE);
2071 for (ixbin=0;ixbin<=1+projX->
GetNbins();ixbin++) {
2078 for (out1bin = out1min; out1bin <= out1max; out1bin++) {
2079 for (out2bin = out2min; out2bin <= out2max; out2bin++) {
2086 if (computeErrors) {
2093 h1->SetBinContent(ix ,cont);
2099 if ( labels )
h1->GetXaxis()->SetCanExtend(extendable);
2105 bool resetStats =
true;
2106 double eps = 1.E-12;
2110 bool resetEntries = resetStats;
2112 resetEntries |= !useUF || !useOF;
2119 stats[2] = stats[4];
2120 stats[3] = stats[5];
2123 stats[2] = stats[7];
2124 stats[3] = stats[8];
2126 h1->PutStats(stats);
2137 if (computeErrors) entries =
h1->GetEffectiveEntries();
2138 h1->SetEntries( entries );
2153 bool computeErrors,
bool originalRange,
2154 bool useUF,
bool useOF,
bool useWidth)
const
2164 Int_t nx = ixmax-ixmin+1;
2165 Int_t ny = iymax-iymin+1;
2173 Error(
"DoProject2D",
"Histogram with name %s must be a TH2D and is a %s",
name,h2obj->
ClassName());
2181 if ( originalRange ) {
2203 if ( originalRange )
2205 if (xbins->fN == 0 && ybins->
fN == 0) {
2208 }
else if (ybins->
fN == 0) {
2210 ,projX->
GetNbins(),&xbins->fArray[ixmin-1]);
2211 }
else if (xbins->fN == 0) {
2218 if (xbins->fN == 0 && ybins->
fN == 0) {
2221 }
else if (ybins->
fN == 0) {
2223 ,nx,&xbins->fArray[ixmin-1]);
2224 }
else if (xbins->fN == 0) {
2228 h2 =
new TH2D(
name,title,ny,&ybins->
fArray[iymin-1],nx,&xbins->fArray[ixmin-1]);
2268 const TAxis* out =
nullptr;
2277 Int_t *refX =
nullptr, *refY =
nullptr, *refZ =
nullptr;
2278 Int_t ixbin, iybin, outbin;
2279 if ( projX ==
GetXaxis() && projY ==
GetYaxis() ) { refX = &ixbin; refY = &iybin; refZ = &outbin; }
2280 if ( projX ==
GetYaxis() && projY ==
GetXaxis() ) { refX = &iybin; refY = &ixbin; refZ = &outbin; }
2281 if ( projX ==
GetXaxis() && projY ==
GetZaxis() ) { refX = &ixbin; refY = &outbin; refZ = &iybin; }
2282 if ( projX ==
GetZaxis() && projY ==
GetXaxis() ) { refX = &iybin; refY = &outbin; refZ = &ixbin; }
2283 if ( projX ==
GetYaxis() && projY ==
GetZaxis() ) { refX = &outbin; refY = &ixbin; refZ = &iybin; }
2284 if ( projX ==
GetZaxis() && projY ==
GetYaxis() ) { refX = &outbin; refY = &iybin; refZ = &ixbin; }
2285 R__ASSERT (refX !=
nullptr && refY !=
nullptr && refZ !=
nullptr);
2294 if (outmin == 0 && outmax == 0) { outmin = 1; outmax = out->
GetNbins(); }
2299 for (ixbin=0;ixbin<=1+projX->
GetNbins();ixbin++) {
2303 for (iybin=0;iybin<=1+projY->
GetNbins();iybin++) {
2311 for (outbin = outmin; outbin <= outmax; outbin++) {
2316 double step = useWidth ? out->
GetBinWidth(outbin) : 1;
2318 if (computeErrors) {
2336 bool resetStats =
true;
2337 double eps = 1.E-12;
2341 bool resetEntries = resetStats;
2343 resetEntries |= !useUF || !useOF;
2348 for (
Int_t i = 0; i <
kNstat; ++i) { oldst[i] = 0; }
2350 std::copy(oldst,oldst+
kNstat,stats);
2354 stats[4] = oldst[7];
2355 stats[5] = oldst[8];
2356 stats[6] = oldst[9];
2359 stats[2] = oldst[4];
2360 stats[3] = oldst[5];
2362 stats[4] = oldst[2];
2363 stats[5] = oldst[3];
2366 stats[4] = oldst[7];
2367 stats[5] = oldst[8];
2368 stats[6] = oldst[10];
2372 stats[2] = oldst[7];
2373 stats[3] = oldst[8];
2375 stats[4] = oldst[2];
2376 stats[5] = oldst[3];
2377 stats[6] = oldst[9];
2380 stats[4] = oldst[4];
2381 stats[5] = oldst[5];
2382 stats[6] = oldst[10];
2397 if (!computeErrors) entries =
TMath::Floor( entries + 0.5);
2466 Int_t underscore = extra_name.
Last(
'_');
2467 if (underscore > 0) {
2468 extra_name.
Remove(underscore,extra_name.
Length()-underscore);
2469 opt.
Remove(0,underscore+1);
2472 bool useWidth = opt.
Contains(
"width");
2475 if (opt.
Contains(
"x")) { pcase = 1; ptype =
"x"; }
2476 if (opt.
Contains(
"y")) { pcase = 2; ptype =
"y"; }
2477 if (opt.
Contains(
"z")) { pcase = 3; ptype =
"z"; }
2478 if (opt.
Contains(
"xy")) { pcase = 4; ptype =
"xy"; }
2479 if (opt.
Contains(
"yx")) { pcase = 5; ptype =
"yx"; }
2480 if (opt.
Contains(
"xz")) { pcase = 6; ptype =
"xz"; }
2481 if (opt.
Contains(
"zx")) { pcase = 7; ptype =
"zx"; }
2482 if (opt.
Contains(
"yz")) { pcase = 8; ptype =
"yz"; }
2483 if (opt.
Contains(
"zy")) { pcase = 9; ptype =
"zy"; }
2486 Error(
"Project3D",
"No projection axis specified - return a NULL pointer");
2493 computeErrors =
kTRUE;
2510 originalRange =
kTRUE;
2520 if (underscore > 0) {
2525 title +=
" "; title += ptype; title +=
" projection";
2531 computeErrors, originalRange, useUF, useOF, useWidth);
2537 computeErrors, originalRange, useUF, useOF, useWidth);
2543 computeErrors, originalRange, useUF, useOF, useWidth);
2549 computeErrors, originalRange, useUF, useOF, useWidth);
2555 computeErrors, originalRange, useUF, useOF, useWidth);
2561 computeErrors, originalRange, useUF, useOF, useWidth);
2567 computeErrors, originalRange, useUF, useOF, useWidth);
2573 computeErrors, originalRange, useUF, useOF, useWidth);
2579 computeErrors, originalRange, useUF, useOF, useWidth);
2610 if (useWeights && binSumw2.
fN <= 0) useWeights =
false;
2617 if (outBin <0)
return;
2619 if ( useWeights ) tmp = binSumw2.
fArray[outBin];
2620 p2->
Fill( u ,
v, w, cont);
2621 if (useWeights ) binSumw2.
fArray[outBin] = tmp +
fSumw2.fArray[inBin];
2630 bool originalRange,
bool useUF,
bool useOF,
bool useWidth)
const
2638 Int_t nx = ixmax-ixmin+1;
2639 Int_t ny = iymax-iymin+1;
2649 Error(
"DoProjectProfile2D",
"Histogram with name %s must be a TProfile2D and is a %s",
name,p2obj->
ClassName());
2657 if ( originalRange ) {
2678 if ( originalRange ) {
2679 if (xbins->fN == 0 && ybins->
fN == 0) {
2682 }
else if (ybins->
fN == 0) {
2684 ,projX->
GetNbins(),&xbins->fArray[ixmin-1]);
2685 }
else if (xbins->fN == 0) {
2692 if (xbins->fN == 0 && ybins->
fN == 0) {
2695 }
else if (ybins->
fN == 0) {
2697 ,nx,&xbins->fArray[ixmin-1]);
2698 }
else if (xbins->fN == 0) {
2732 const TAxis* outAxis =
nullptr;
2747 Int_t *refX =
nullptr, *refY =
nullptr, *refZ =
nullptr;
2748 Int_t ixbin, iybin, outbin;
2749 if ( projX ==
GetXaxis() && projY ==
GetYaxis() ) { refX = &ixbin; refY = &iybin; refZ = &outbin; }
2750 if ( projX ==
GetYaxis() && projY ==
GetXaxis() ) { refX = &iybin; refY = &ixbin; refZ = &outbin; }
2751 if ( projX ==
GetXaxis() && projY ==
GetZaxis() ) { refX = &ixbin; refY = &outbin; refZ = &iybin; }
2752 if ( projX ==
GetZaxis() && projY ==
GetXaxis() ) { refX = &iybin; refY = &outbin; refZ = &ixbin; }
2753 if ( projX ==
GetYaxis() && projY ==
GetZaxis() ) { refX = &outbin; refY = &ixbin; refZ = &iybin; }
2754 if ( projX ==
GetZaxis() && projY ==
GetYaxis() ) { refX = &outbin; refY = &iybin; refZ = &ixbin; }
2755 R__ASSERT (refX !=
nullptr && refY !=
nullptr && refZ !=
nullptr);
2765 if (useWeights && binSumw2.
fN <= 0) useWeights =
false;
2769 for (ixbin=0;ixbin<=1+projX->
GetNbins();ixbin++) {
2771 for ( iybin=0;iybin<=1+projY->
GetNbins();iybin++) {
2776 if (poutBin <0)
continue;
2778 for (outbin = outmin; outbin <= outmax; outbin++) {
2783 double step = useWidth ? outAxis->
GetBinWidth(outbin) : 1;
2785 if (!cont)
continue;
2789 if ( useWeights ) tmp = binSumw2.
fArray[poutBin];
2791 if (useWeights ) binSumw2.
fArray[poutBin] = tmp +
fSumw2.fArray[bin];
2799 bool resetStats =
true;
2810 if (!useWeights) entries =
TMath::Floor( entries + 0.5);
2869 if (opt.
Contains(
"xy")) { pcase = 4; ptype =
"xy"; }
2870 if (opt.
Contains(
"yx")) { pcase = 5; ptype =
"yx"; }
2871 if (opt.
Contains(
"xz")) { pcase = 6; ptype =
"xz"; }
2872 if (opt.
Contains(
"zx")) { pcase = 7; ptype =
"zx"; }
2873 if (opt.
Contains(
"yz")) { pcase = 8; ptype =
"yz"; }
2874 if (opt.
Contains(
"zy")) { pcase = 9; ptype =
"zy"; }
2877 Error(
"Project3D",
"No projection axis specified - return a NULL pointer");
2895 originalRange =
kTRUE;
2904 title +=
" profile "; title += ptype; title +=
" projection";
2966 return Rebin3D(ngroup, 1, 1, newname);
2976 return Rebin3D(1, ngroup, 1, newname);
2986 return Rebin3D(1, 1, ngroup, newname);
3017 Int_t i,j,k,xbin,ybin,zbin;
3027 if ((nxgroup <= 0) || (nxgroup > nxbins)) {
3028 Error(
"Rebin",
"Illegal value of nxgroup=%d",nxgroup);
3031 if ((nygroup <= 0) || (nygroup > nybins)) {
3032 Error(
"Rebin",
"Illegal value of nygroup=%d",nygroup);
3035 if ((nzgroup <= 0) || (nzgroup > nzbins)) {
3036 Error(
"Rebin",
"Illegal value of nzgroup=%d",nzgroup);
3040 Int_t newxbins = nxbins/nxgroup;
3041 Int_t newybins = nybins/nygroup;
3042 Int_t newzbins = nzbins/nzgroup;
3054 oldSumw2[ibin] =
fSumw2.fArray[ibin];
3060 if (newname && strlen(newname)) {
3068 bool resetStat =
false;
3072 if (newxbins*nxgroup != nxbins) {
3073 xmax =
fXaxis.GetBinUpEdge(newxbins*nxgroup);
3076 if (newybins*nygroup != nybins) {
3077 ymax =
fYaxis.GetBinUpEdge(newybins*nygroup);
3080 if (newzbins*nzgroup != nzbins) {
3081 zmax =
fZaxis.GetBinUpEdge(newzbins*nzgroup);
3122 if (nxgroup != 1 || nygroup != 1 || nzgroup != 1) {
3123 if (
fXaxis.GetXbins()->GetSize() > 0 ||
fYaxis.GetXbins()->GetSize() > 0 ||
fZaxis.GetXbins()->GetSize() > 0) {
3126 for (i = 0; i <= newxbins; ++i) xbins[i] =
fXaxis.GetBinLowEdge(1+i*nxgroup);
3128 for (i = 0; i <= newybins; ++i) ybins[i] =
fYaxis.GetBinLowEdge(1+i*nygroup);
3130 for (i = 0; i <= newzbins; ++i) zbins[i] =
fZaxis.GetBinLowEdge(1+i*nzgroup);
3131 hnew->
SetBins(newxbins,xbins, newybins, ybins, newzbins, zbins);
3144 for (xbin = 1; xbin <= newxbins; xbin++) {
3147 for (ybin = 1; ybin <= newybins; ybin++) {
3149 for (zbin = 1; zbin <= newzbins; zbin++) {
3152 for (i = 0; i < nxgroup; i++) {
3153 if (oldxbin+i > nxbins)
break;
3154 for (j =0; j < nygroup; j++) {
3155 if (oldybin+j > nybins)
break;
3156 for (k =0; k < nzgroup; k++) {
3157 if (oldzbin+k > nzbins)
break;
3159 bin = oldxbin + i + (oldybin + j)*(nxbins + 2) + (oldzbin + k)*(nxbins + 2)*(nybins + 2);
3160 binContent += oldBins[bin];
3161 if (oldSumw2) binSumw2 += oldSumw2[bin];
3176 for (
Int_t xover = 0; xover <= 1; xover++) {
3177 for (
Int_t yover = 0; yover <= 1; yover++) {
3178 for (
Int_t zover = 0; zover <= 1; zover++) {
3182 for (xbin = xover*oldxbin; xbin <= xover*(nxbins+1); xbin++) {
3183 for (ybin = yover*oldybin; ybin <= yover*(nybins+1); ybin++) {
3184 for (zbin = zover*oldzbin; zbin <= zover*(nzbins+1); zbin++) {
3185 bin =
GetBin(xbin,ybin,zbin);
3186 binContent += oldBins[bin];
3187 if (oldSumw2) binSumw2 += oldSumw2[bin];
3192 yover*(newybins+1), zover*(newzbins+1) );
3199 Double_t binContent0, binContent2, binContent3, binContent4;
3200 Double_t binError0, binError2, binError3, binError4;
3201 Int_t oldxbin2, oldybin2, oldzbin2;
3202 Int_t ufbin, ofbin, ofbin2, ofbin3, ofbin4;
3208 for (xbin = 1; xbin<=newxbins; xbin++) {
3210 for (zbin = 1; zbin<=newzbins; zbin++) {
3211 binContent0 = binContent2 = 0;
3212 binError0 = binError2 = 0;
3213 for (i=0; i<nxgroup; i++) {
3214 if (oldxbin2+i > nxbins)
break;
3215 for (k=0; k<nzgroup; k++) {
3216 if (oldzbin2+k > nzbins)
break;
3218 ufbin = oldxbin2 + i + (nxbins+2)*(nybins+2)*(oldzbin2+k);
3219 binContent0 += oldBins[ufbin];
3220 if (oldSumw2) binError0 += oldSumw2[ufbin];
3221 for (ybin = oldybin; ybin <= nybins + 1; ybin++) {
3223 ofbin = ufbin + ybin*(nxbins+2);
3224 binContent2 += oldBins[ofbin];
3225 if (oldSumw2) binError2 += oldSumw2[ofbin];
3235 oldzbin2 += nzgroup;
3237 oldxbin2 += nxgroup;
3244 for (ybin = 1; ybin<=newybins; ybin++) {
3246 for (zbin = 1; zbin<=newzbins; zbin++) {
3247 binContent0 = binContent2 = 0;
3248 binError0 = binError2 = 0;
3249 for (j=0; j<nygroup; j++) {
3250 if (oldybin2+j > nybins)
break;
3251 for (k=0; k<nzgroup; k++) {
3252 if (oldzbin2+k > nzbins)
break;
3254 ufbin = (oldybin2 + j)*(nxbins+2) + (nxbins+2)*(nybins+2)*(oldzbin2+k);
3255 binContent0 += oldBins[ufbin];
3256 if (oldSumw2) binError0 += oldSumw2[ufbin];
3257 for (xbin = oldxbin; xbin <= nxbins + 1; xbin++) {
3259 ofbin = ufbin + xbin;
3260 binContent2 += oldBins[ofbin];
3261 if (oldSumw2) binError2 += oldSumw2[ofbin];
3271 oldzbin2 += nzgroup;
3273 oldybin2 += nygroup;
3280 for (xbin = 1; xbin<=newxbins; xbin++) {
3282 for (ybin = 1; ybin<=newybins; ybin++) {
3283 binContent0 = binContent2 = 0;
3284 binError0 = binError2 = 0;
3285 for (i=0; i<nxgroup; i++) {
3286 if (oldxbin2+i > nxbins)
break;
3287 for (j=0; j<nygroup; j++) {
3288 if (oldybin2+j > nybins)
break;
3290 ufbin = oldxbin2 + i + (nxbins+2)*(oldybin2+j);
3291 binContent0 += oldBins[ufbin];
3292 if (oldSumw2) binError0 += oldSumw2[ufbin];
3293 for (zbin = oldzbin; zbin <= nzbins + 1; zbin++) {
3295 ofbin = ufbin + (nxbins+2)*(nybins+2)*zbin;
3296 binContent2 += oldBins[ofbin];
3297 if (oldSumw2) binError2 += oldSumw2[ofbin];
3307 oldybin2 += nygroup;
3309 oldxbin2 += nxgroup;
3316 for (xbin = 1; xbin<=newxbins; xbin++) {
3325 for (i=0; i<nxgroup; i++) {
3326 if (oldxbin2+i > nxbins)
break;
3327 ufbin = oldxbin2 + i;
3328 binContent0 += oldBins[ufbin];
3329 if (oldSumw2) binError0 += oldSumw2[ufbin];
3330 for (ybin = oldybin; ybin <= nybins + 1; ybin++) {
3331 ofbin3 = ufbin+ybin*(nxbins+2);
3332 binContent3 += oldBins[ ofbin3 ];
3333 if (oldSumw2) binError3 += oldSumw2[ofbin3];
3334 for (zbin = oldzbin; zbin <= nzbins + 1; zbin++) {
3336 ofbin4 = oldxbin2 + i + ybin*(nxbins+2) + (nxbins+2)*(nybins+2)*zbin;
3337 binContent4 += oldBins[ofbin4];
3338 if (oldSumw2) binError4 += oldSumw2[ofbin4];
3341 for (zbin = oldzbin; zbin <= nzbins + 1; zbin++) {
3342 ofbin2 = ufbin+zbin*(nxbins+2)*(nybins+2);
3343 binContent2 += oldBins[ ofbin2 ];
3344 if (oldSumw2) binError2 += oldSumw2[ofbin2];
3350 hnew->
SetBinContent(xbin,newybins+1,newzbins+1,binContent4);
3357 oldxbin2 += nxgroup;
3364 for (zbin = 1; zbin<=newzbins; zbin++) {
3373 for (i=0; i<nzgroup; i++) {
3374 if (oldzbin2+i > nzbins)
break;
3375 ufbin = (oldzbin2 + i)*(nxbins+2)*(nybins+2);
3376 binContent0 += oldBins[ufbin];
3377 if (oldSumw2) binError0 += oldSumw2[ufbin];
3378 for (ybin = oldybin; ybin <= nybins + 1; ybin++) {
3379 ofbin3 = ufbin+ybin*(nxbins+2);
3380 binContent3 += oldBins[ ofbin3 ];
3381 if (oldSumw2) binError3 += oldSumw2[ofbin3];
3382 for (xbin = oldxbin; xbin <= nxbins + 1; xbin++) {
3384 ofbin4 = ufbin + xbin + ybin*(nxbins+2);
3385 binContent4 += oldBins[ofbin4];
3386 if (oldSumw2) binError4 += oldSumw2[ofbin4];
3389 for (xbin = oldxbin; xbin <= nxbins + 1; xbin++) {
3390 ofbin2 = xbin +(oldzbin2+i)*(nxbins+2)*(nybins+2);
3391 binContent2 += oldBins[ ofbin2 ];
3392 if (oldSumw2) binError2 += oldSumw2[ofbin2];
3398 hnew->
SetBinContent(newxbins+1,newybins+1,zbin,binContent4);
3405 oldzbin2 += nzgroup;
3412 for (ybin = 1; ybin<=newybins; ybin++) {
3421 for (i=0; i<nygroup; i++) {
3422 if (oldybin2+i > nybins)
break;
3423 ufbin = (oldybin2 + i)*(nxbins+2);
3424 binContent0 += oldBins[ufbin];
3425 if (oldSumw2) binError0 += oldSumw2[ufbin];
3426 for (xbin = oldxbin; xbin <= nxbins + 1; xbin++) {
3427 ofbin3 = ufbin+xbin;
3428 binContent3 += oldBins[ ofbin3 ];
3429 if (oldSumw2) binError3 += oldSumw2[ofbin3];
3430 for (zbin = oldzbin; zbin <= nzbins + 1; zbin++) {
3432 ofbin4 = xbin + (nxbins+2)*(nybins+2)*zbin+(oldybin2+i)*(nxbins+2);
3433 binContent4 += oldBins[ofbin4];
3434 if (oldSumw2) binError4 += oldSumw2[ofbin4];
3437 for (zbin = oldzbin; zbin <= nzbins + 1; zbin++) {
3438 ofbin2 = (oldybin2+i)*(nxbins+2)+zbin*(nxbins+2)*(nybins+2);
3439 binContent2 += oldBins[ ofbin2 ];
3440 if (oldSumw2) binError2 += oldSumw2[ofbin2];
3446 hnew->
SetBinContent(newxbins+1,ybin,newzbins+1,binContent4);
3453 oldybin2 += nygroup;
3458 fXaxis.SetNdivisions(nXdivisions);
3459 fXaxis.SetAxisColor(xAxisColor);
3460 fXaxis.SetLabelColor(xLabelColor);
3461 fXaxis.SetLabelFont(xLabelFont);
3462 fXaxis.SetLabelOffset(xLabelOffset);
3463 fXaxis.SetLabelSize(xLabelSize);
3464 fXaxis.SetTickLength(xTickLength);
3465 fXaxis.SetTitleOffset(xTitleOffset);
3466 fXaxis.SetTitleSize(xTitleSize);
3467 fXaxis.SetTitleColor(xTitleColor);
3468 fXaxis.SetTitleFont(xTitleFont);
3470 fYaxis.SetNdivisions(nYdivisions);
3471 fYaxis.SetAxisColor(yAxisColor);
3472 fYaxis.SetLabelColor(yLabelColor);
3473 fYaxis.SetLabelFont(yLabelFont);
3474 fYaxis.SetLabelOffset(yLabelOffset);
3475 fYaxis.SetLabelSize(yLabelSize);
3476 fYaxis.SetTickLength(yTickLength);
3477 fYaxis.SetTitleOffset(yTitleOffset);
3478 fYaxis.SetTitleSize(yTitleSize);
3479 fYaxis.SetTitleColor(yTitleColor);
3480 fYaxis.SetTitleFont(yTitleFont);
3482 fZaxis.SetNdivisions(nZdivisions);
3483 fZaxis.SetAxisColor(zAxisColor);
3484 fZaxis.SetLabelColor(zLabelColor);
3485 fZaxis.SetLabelFont(zLabelFont);
3486 fZaxis.SetLabelOffset(zLabelOffset);
3487 fZaxis.SetLabelSize(zLabelSize);
3488 fZaxis.SetTickLength(zTickLength);
3489 fZaxis.SetTitleOffset(zTitleOffset);
3490 fZaxis.SetTitleSize(zTitleSize);
3491 fZaxis.SetTitleColor(zTitleColor);
3492 fZaxis.SetTitleFont(zTitleFont);
3496 if (!resetStat) hnew->
PutStats(stat);
3499 if (oldSumw2)
delete [] oldSumw2;
3530 if (bin < 0)
return;
3563 bool originalRange,
bool useUF,
bool useOF,
bool useWidth)
3565 return h.DoProject1D(
name, title, projX,
nullptr,
nullptr, computeErrors, originalRange, useUF, useOF, useWidth);
3572 bool computeErrors,
bool originalRange,
bool useUF,
bool useOF,
bool useWidth)
3574 return h.DoProject2D(
name, title, projX, projY, computeErrors, originalRange, useUF, useOF, useWidth);
3609 :
TH3(
name,title,nbinsx,xlow,xup,nbinsy,ylow,yup,nbinsz,zlow,zup)
3625 :
TH3(
name,title,nbinsx,xbins,nbinsy,ybins,nbinsz,zbins)
3639 :
TH3(
name,title,nbinsx,xbins,nbinsy,ybins,nbinsz,zbins)
3652 h3c.TH3C::Copy(*
this);
3674 if (newval > -128 && newval < 128) {
fArray[bin] =
Char_t(newval);
return;}
3675 if (newval < -127)
fArray[bin] = -127;
3676 if (newval > 127)
fArray[bin] = 127;
3780 h3c.TH3C::Copy(*
this);
3877 :
TH3(
name,title,nbinsx,xlow,xup,nbinsy,ylow,yup,nbinsz,zlow,zup)
3893 :
TH3(
name,title,nbinsx,xbins,nbinsy,ybins,nbinsz,zbins)
3907 :
TH3(
name,title,nbinsx,xbins,nbinsy,ybins,nbinsz,zbins)
3920 h3s.TH3S::Copy(*
this);
3942 if (newval > -32768 && newval < 32768) {
fArray[bin] =
Short_t(newval);
return;}
3943 if (newval < -32767)
fArray[bin] = -32767;
3944 if (newval > 32767)
fArray[bin] = 32767;
4019 h3s.TH3S::Copy(*
this);
4116 :
TH3(
name,title,nbinsx,xlow,xup,nbinsy,ylow,yup,nbinsz,zlow,zup)
4132 :
TH3(
name,title,nbinsx,xbins,nbinsy,ybins,nbinsz,zbins)
4146 :
TH3(
name,title,nbinsx,xbins,nbinsy,ybins,nbinsz,zbins)
4159 h3i.TH3I::Copy(*
this);
4181 if (newval > -INT_MAX && newval < INT_MAX) {
fArray[bin] =
Int_t(newval);
return;}
4182 if (newval < -INT_MAX)
fArray[bin] = -INT_MAX;
4183 if (newval > INT_MAX)
fArray[bin] = INT_MAX;
4225 h3i.TH3I::Copy(*
this);
4322 :
TH3(
name,title,nbinsx,xlow,xup,nbinsy,ylow,yup,nbinsz,zlow,zup)
4338 :
TH3(
name,title,nbinsx,xbins,nbinsy,ybins,nbinsz,zbins)
4352 :
TH3(
name,title,nbinsx,xbins,nbinsy,ybins,nbinsz,zbins)
4365 h3l.TH3L::Copy(*
this);
4387 if (newval > -LLONG_MAX && newval < LLONG_MAX) {
fArray[bin] = newval;
return;}
4388 if (newval < -LLONG_MAX)
fArray[bin] = -LLONG_MAX;
4389 if (newval > LLONG_MAX)
fArray[bin] = LLONG_MAX;
4431 h3l.TH3L::Copy(*
this);
4528 :
TH3(
name,title,nbinsx,xlow,xup,nbinsy,ylow,yup,nbinsz,zlow,zup)
4544 :
TH3(
name,title,nbinsx,xbins,nbinsy,ybins,nbinsz,zbins)
4558 :
TH3(
name,title,nbinsx,xbins,nbinsy,ybins,nbinsz,zbins)
4571 h3f.TH3F::Copy(*
this);
4646 h3f.TH3F::Copy(*
this);
4743 :
TH3(
name,title,nbinsx,xlow,xup,nbinsy,ylow,yup,nbinsz,zlow,zup)
4759 :
TH3(
name,title,nbinsx,xbins,nbinsy,ybins,nbinsz,zbins)
4773 :
TH3(
name,title,nbinsx,xbins,nbinsy,ybins,nbinsz,zbins)
4934 return (
TH1 *)
gROOT->ProcessLineFast(
4935 TString::Format(
"TSpectrum3::StaticBackground((TH1*)0x%zx,%d,%d,%d,\"%s\")", (
size_t)
this, nIterX, nIterY, nIterZ, option)
int Int_t
Signed integer 4 bytes (int).
short Version_t
Class version identifier (short).
char Char_t
Character 1 byte (char).
unsigned int UInt_t
Unsigned integer 4 bytes (unsigned int).
bool Bool_t
Boolean (0=false, 1=true) (bool).
short Short_t
Signed Short integer 2 bytes (short).
double Double_t
Double 8 bytes.
short Color_t
Color number (short).
long long Long64_t
Portable signed long integer 8 bytes.
short Style_t
Style number (short).
float Float_t
Float 4 bytes (float).
const char Option_t
Option string (const char).
#define R__ASSERT(e)
Checks condition e and reports a fatal error if it's false.
void Warning(const char *location, const char *msgfmt,...)
Use this function in warning situations.
TH3C operator-(TH3C const &h1, TH3C const &h2)
Operator -.
TH3C operator+(TH3C const &h1, TH3C const &h2)
Operator +.
TH3C operator/(TH3C const &h1, TH3C const &h2)
Operator /.
TH3C operator*(Float_t c1, TH3C const &h3c)
Operator *.
TArrayC()
Default TArrayC ctor.
void Streamer(TBuffer &) override
Stream a TArrayC object.
void Set(Int_t n) override
Set size of this array to n chars.
Array of doubles (64 bits per element).
void Streamer(TBuffer &) override
Stream a TArrayD object.
void Set(Int_t n) override
Set size of this array to n doubles.
TArrayD()
Default TArrayD ctor.
TArrayF()
Default TArrayF ctor.
void Set(Int_t n) override
Set size of this array to n floats.
void Streamer(TBuffer &) override
Stream a TArrayF object.
void Set(Int_t n) override
Set size of this array to n ints.
TArrayI()
Default TArrayI ctor.
void Set(Int_t n) override
Set size of this array to n long64s.
TArrayL64()
Default TArrayL64 ctor.
void Set(Int_t n) override
Set size of this array to n shorts.
TArrayS()
Default TArrayS ctor.
void Streamer(TBuffer &) override
Stream a TArrayS object.
virtual void Set(Int_t n)=0
virtual void Streamer(TBuffer &)
virtual Color_t GetFillColor() const
Return the fill area color.
virtual void SetFillColor(Color_t fcolor)
Set the fill area color.
virtual Color_t GetLineColor() const
Return the line color.
virtual void SetLineColor(Color_t lcolor)
Set the line color.
virtual Style_t GetMarkerStyle() const
Return the marker style.
virtual void SetMarkerColor(Color_t mcolor=1)
Set the marker color.
virtual Color_t GetMarkerColor() const
Return the marker color.
virtual void SetMarkerStyle(Style_t mstyle=1)
Set the marker style.
Class to manage histogram axis.
virtual void SetBinLabel(Int_t bin, const char *label)
Set label for bin.
virtual Double_t GetBinCenter(Int_t bin) const
Return center of bin.
const TArrayD * GetXbins() const
virtual Int_t FindBin(Double_t x)
Find bin number corresponding to abscissa x.
virtual Double_t GetBinLowEdge(Int_t bin) const
Return low edge of bin.
virtual void Set(Int_t nbins, Double_t xmin, Double_t xmax)
Initialize axis with fix bins.
Int_t GetLast() const
Return last bin on the axis i.e.
virtual void ImportAttributes(const TAxis *axis)
Copy axis attributes to this.
virtual void SetRange(Int_t first=0, Int_t last=0)
Set the viewing range for the axis using bin numbers.
virtual Double_t GetBinWidth(Int_t bin) const
Return bin width.
virtual Double_t GetBinUpEdge(Int_t bin) const
Return up edge of bin.
Int_t GetFirst() const
Return first bin on the axis i.e.
THashList * GetLabels() const
Buffer base class used for serializing objects.
virtual Version_t ReadVersion(UInt_t *start=nullptr, UInt_t *bcnt=nullptr, const TClass *cl=nullptr)=0
TObject * GetParent() const
Return pointer to parent of this buffer.
virtual Int_t CheckByteCount(UInt_t startpos, UInt_t bcnt, const TClass *clss)=0
virtual Int_t ReadClassBuffer(const TClass *cl, void *pointer, const TClass *onfile_class=nullptr)=0
virtual Int_t GetVersionOwner() const =0
virtual Int_t WriteClassBuffer(const TClass *cl, void *pointer)=0
TClass * IsA() const override
1-D histogram with a double per channel (see TH1 documentation)
virtual void SetDirectory(TDirectory *dir)
By default, when a histogram is created, it is added to the list of histogram objects in the current ...
Double_t * fBuffer
[fBufferSize] entry buffer
virtual Double_t GetEffectiveEntries() const
Number of effective entries of the histogram.
virtual Bool_t Multiply(TF1 *f1, Double_t c1=1)
Performs the operation:
Int_t fNcells
Number of bins(1D), cells (2D) +U/Overflows.
void Copy(TObject &hnew) const override
Copy this histogram structure to newth1.
Double_t fTsumw
Total Sum of weights.
Double_t fTsumw2
Total Sum of squares of weights.
virtual Double_t DoIntegral(Int_t ix1, Int_t ix2, Int_t iy1, Int_t iy2, Int_t iz1, Int_t iz2, Double_t &err, Option_t *opt, Bool_t doerr=kFALSE) const
Internal function compute integral and optionally the error between the limits specified by the bin n...
Double_t fTsumwx2
Total Sum of weight*X*X.
virtual Double_t GetStdDev(Int_t axis=1) const
Returns the Standard Deviation (Sigma).
virtual Int_t GetNbinsY() const
virtual Double_t GetBinError(Int_t bin) const
Return value of error associated to bin number bin.
virtual Int_t GetNbinsZ() const
virtual Int_t GetDimension() const
void Streamer(TBuffer &) override
Stream a class object.
@ kIsNotW
Histogram is forced to be not weighted even when the histogram is filled with weighted.
virtual Bool_t CanExtendAllAxes() const
Returns true if all axes are extendable.
virtual void Reset(Option_t *option="")
Reset this histogram: contents, errors, etc.
virtual Int_t GetNcells() const
virtual void PutStats(Double_t *stats)
Replace current statistics with the values in array stats.
TVirtualHistPainter * GetPainter(Option_t *option="")
Return pointer to painter.
virtual TFitResultPtr Fit(const char *formula, Option_t *option="", Option_t *goption="", Double_t xmin=0, Double_t xmax=0)
Fit histogram with function fname.
virtual Int_t GetBin(Int_t binx, Int_t biny=0, Int_t binz=0) const
Return Global bin number corresponding to binx,y,z.
virtual Int_t GetNbinsX() const
virtual Bool_t Add(TF1 *h1, Double_t c1=1, Option_t *option="")
Performs the operation: this = this + c1*f1 if errors are defined (see TH1::Sumw2),...
Int_t fBufferSize
fBuffer size
Int_t fDimension
! Histogram dimension (1, 2 or 3 dim)
virtual void SetBinError(Int_t bin, Double_t error)
Set the bin Error Note that this resets the bin eror option to be of Normal Type and for the non-empt...
static Int_t fgBufferSize
! Default buffer size for automatic histograms
virtual void SetBuffer(Int_t bufsize, Option_t *option="")
Set the maximum number of entries to be kept in the buffer.
UInt_t GetAxisLabelStatus() const
Internal function used in TH1::Fill to see which axis is full alphanumeric, i.e.
Double_t * fIntegral
! Integral of bins used by GetRandom
virtual void SetBinContent(Int_t bin, Double_t content)
Set bin content see convention for numbering bins in TH1::GetBin In case the bin number is greater th...
virtual Double_t GetBinLowEdge(Int_t bin) const
Return bin lower edge for 1D histogram.
virtual Double_t GetEntries() const
Return the current number of entries.
virtual Double_t RetrieveBinContent(Int_t bin) const =0
Raw retrieval of bin content on internal data structure see convention for numbering bins in TH1::Get...
void SetName(const char *name) override
Change the name of this histogram.
virtual void ResetStats()
Reset the statistics including the number of entries and replace with values calculated from bin cont...
@ kNstat
Size of statistics data (up to TProfile3D).
Double_t fEntries
Number of entries.
TAxis fZaxis
Z axis descriptor.
virtual Double_t GetBinContent(Int_t bin) const
Return content of bin number bin.
TAxis fXaxis
X axis descriptor.
virtual void ExtendAxis(Double_t x, TAxis *axis)
Histogram is resized along axis such that x is in the axis range.
TArrayD fSumw2
Array of sum of squares of weights.
virtual void Scale(Double_t c1=1, Option_t *option="")
Multiply this histogram by a constant c1.
virtual Double_t ComputeIntegral(Bool_t onlyPositive=false, Option_t *option="")
Compute integral (normalized cumulative sum of bins) w/o under/overflows The result is stored in fInt...
virtual Int_t GetSumw2N() const
virtual Int_t FindBin(Double_t x, Double_t y=0, Double_t z=0)
Return Global bin number corresponding to x,y,z.
Bool_t GetStatOverflowsBehaviour() const
TObject * Clone(const char *newname="") const override
Make a complete copy of the underlying object.
virtual Bool_t Divide(TF1 *f1, Double_t c1=1)
Performs the operation: this = this/(c1*f1) if errors are defined (see TH1::Sumw2),...
TAxis fYaxis
Y axis descriptor.
TVirtualHistPainter * fPainter
! Pointer to histogram painter
virtual void SetBins(Int_t nx, Double_t xmin, Double_t xmax)
Redefine x axis parameters.
virtual void Sumw2(Bool_t flag=kTRUE)
Create structure to store sum of squares of weights.
virtual void SetEntries(Double_t n)
static Bool_t fgDefaultSumw2
! Flag to call TH1::Sumw2 automatically at histogram creation time
virtual void UpdateBinContent(Int_t bin, Double_t content)=0
Raw update of bin content on internal data structure see convention for numbering bins in TH1::GetBin...
Double_t fTsumwx
Total Sum of weight*X.
2-D histogram with a double per channel (see TH1 documentation)
void Reset(Option_t *option="") override
Reset this histogram: contents, errors, etc.
void SetBinContent(Int_t bin, Double_t content) override
Set bin content.
void PutStats(Double_t *stats) override
Replace current statistics with the values in array stats.
void SetBinsLength(Int_t n=-1) override
Set total number of bins including under/overflow Reallocate bin contents array.
TClass * IsA() const override
~TH3C() override
Destructor.
void Reset(Option_t *option="") override
Reset this histogram: contents, errors, etc.
void AddBinContent(Int_t bin) override
Increment bin content by 1.
TH3C & operator=(const TH3C &h1)
Operator =.
void Streamer(TBuffer &) override
Stream an object of class TH3C.
void Copy(TObject &hnew) const override
Copy this 3-D histogram structure to newth3.
TClass * IsA() const override
void Streamer(TBuffer &) override
Stream an object of class TH3D.
void SetBinsLength(Int_t n=-1) override
Set total number of bins including under/overflow Reallocate bin contents array.
~TH3D() override
Destructor.
void Copy(TObject &hnew) const override
Copy this 3-D histogram structure to newth3.
TH3D & operator=(const TH3D &h1)
Operator =.
TH3F & operator=(const TH3F &h1)
Operator =.
void SetBinsLength(Int_t n=-1) override
Set total number of bins including under/overflow Reallocate bin contents array.
~TH3F() override
Destructor.
void Streamer(TBuffer &) override
Stream an object of class TH3F.
void Copy(TObject &hnew) const override
Copy this 3-D histogram structure to newth3.
TClass * IsA() const override
TH3I & operator=(const TH3I &h1)
Operator =.
void AddBinContent(Int_t bin) override
Increment bin content by 1.
void Copy(TObject &hnew) const override
Copy this 3-D histogram structure to newth3.
void SetBinsLength(Int_t n=-1) override
Set total number of bins including under/overflow Reallocate bin contents array.
~TH3I() override
Destructor.
void Copy(TObject &hnew) const override
Copy this 3-D histogram structure to newth3.
TH3L & operator=(const TH3L &h1)
Operator =.
void AddBinContent(Int_t bin) override
Increment bin content by 1.
void SetBinsLength(Int_t n=-1) override
Set total number of bins including under/overflow Reallocate bin contents array.
~TH3L() override
Destructor.
void Streamer(TBuffer &) override
Stream an object of class TH3S.
void SetBinsLength(Int_t n=-1) override
Set total number of bins including under/overflow Reallocate bin contents array.
void AddBinContent(Int_t bin) override
Increment bin content by 1.
~TH3S() override
Destructor.
void Copy(TObject &hnew) const override
Copy this 3-D histogram structure to newth3.
TClass * IsA() const override
TH3S & operator=(const TH3S &h1)
Operator =.
virtual TH3 * Rebin3D(Int_t nxgroup=2, Int_t nygroup=2, Int_t nzgroup=2, const char *newname="")
Rebin this histogram grouping nxgroup/nygroup/nzgroup bins along the xaxis/yaxis/zaxis together.
Int_t BufferEmpty(Int_t action=0) override
Fill histogram with all entries in the buffer.
Double_t fTsumwy
Total Sum of weight*Y.
Double_t fTsumwy2
Total Sum of weight*Y*Y.
virtual Double_t GetCovariance(Int_t axis1=1, Int_t axis2=2) const
Return covariance between axis1 and axis2.
void GetStats(Double_t *stats) const override
Fill the array stats from the contents of this histogram The array stats must be correctly dimensione...
void Copy(TObject &hnew) const override
Copy.
Double_t fTsumwxz
Total Sum of weight*X*Z.
Double_t KolmogorovTest(const TH1 *h2, Option_t *option="") const override
Statistical test of compatibility in shape between THIS histogram and h2, using Kolmogorov test.
virtual TH1D * ProjectionY(const char *name="_py", Int_t ixmin=0, Int_t ixmax=-1, Int_t izmin=0, Int_t izmax=-1, Option_t *option="") const
Project a 3-D histogram into a 1-D histogram along Y (integration along X and Z).
Double_t Interpolate(Double_t x, Double_t y) const override
Not yet implemented.
void AddBinContent(Int_t binx, Int_t biny, Int_t binz)
Increment 3D bin content by 1.
void Reset(Option_t *option="") override
Reset this histogram: contents, errors, etc.
~TH3() override
Destructor.
Int_t Fill(Double_t) override
Invalid Fill method.
virtual TH3 * RebinY(Int_t ngroup=2, const char *newname="")
Rebin only the Y axis see Rebin3D.
virtual Double_t IntegralAndError(Int_t binx1, Int_t binx2, Int_t biny1, Int_t biny2, Int_t binz1, Int_t binz2, Double_t &err, Option_t *option="") const
Return integral of bin contents in range [binx1,binx2],[biny1,biny2],[binz1,binz2] for a 3-D histogra...
virtual TH1D * ProjectionZ(const char *name="_pz", Int_t ixmin=0, Int_t ixmax=-1, Int_t iymin=0, Int_t iymax=-1, Option_t *option="") const
Project a 3-D histogram into a 1-D histogram along Z (integration along X and Y).
virtual TH1D * ProjectionX(const char *name="_px", Int_t iymin=0, Int_t iymax=-1, Int_t izmin=0, Int_t izmax=-1, Option_t *option="") const
Project a 3-D histogram into a 1-D histogram along X (integration along Y and Z).
virtual TProfile2D * Project3DProfile(Option_t *option="xy") const
Project a 3-d histogram into a 2-d profile histograms depending on the option parameter option may co...
Double_t fTsumwz2
Total Sum of weight*Z*Z.
Double_t fTsumwxy
Total Sum of weight*X*Y.
virtual TH1 * Project3D(Option_t *option="x") const
Project a 3-d histogram into 1 or 2-d histograms depending on the option parameter,...
virtual Double_t GetBinWithContent3(Double_t c, Int_t &binx, Int_t &biny, Int_t &binz, Int_t firstx=0, Int_t lastx=0, Int_t firsty=0, Int_t lasty=0, Int_t firstz=0, Int_t lastz=0, Double_t maxdiff=0) const
Compute first cell (binx,biny,binz) in the range [firstx,lastx](firsty,lasty][firstz,...
virtual TH2D * DoProject2D(const char *name, const char *title, const TAxis *projX, const TAxis *projY, bool computeErrors, bool originalRange, bool useUF, bool useOF, bool useWidth) const
internal method performing the projection to a 2D histogram called from TH3::Project3D
void DoFillProfileProjection(TProfile2D *p2, const TAxis &a1, const TAxis &a2, const TAxis &a3, Int_t bin1, Int_t bin2, Int_t bin3, Int_t inBin, Bool_t useWeights) const
internal function to fill the bins of the projected profile 2D histogram called from DoProjectProfile...
virtual TH3 * RebinZ(Int_t ngroup=2, const char *newname="")
Rebin only the Z axis see Rebin3D.
void Streamer(TBuffer &) override
Stream an object of class TH3.
Double_t Integral(Option_t *option="") const override
Return integral of bin contents.
virtual Int_t BufferFill(Double_t x, Double_t y, Double_t z, Double_t w)
Accumulate arguments in buffer.
void FillRandom(TF1 *f1, Int_t ntimes=5000, TRandom *rng=nullptr) override
Fill histogram following distribution in function fname.
virtual void GetRandom3(Double_t &x, Double_t &y, Double_t &, TRandom *rng=nullptr, Option_t *option="")
Return 3 random numbers along axis x, y and z distributed according to the cell-contents of this 3-di...
TClass * IsA() const override
virtual void SetShowProjection(const char *option="xy", Int_t nbins=1)
When the mouse is moved in a pad containing a 3-d view of this histogram a second canvas shows a proj...
TH3 * RebinX(Int_t ngroup=2, const char *newname="") override
Rebin only the X axis see Rebin3D.
virtual Double_t GetCorrelationFactor(Int_t axis1=1, Int_t axis2=2) const
Return correlation factor between axis1 and axis2.
virtual TH1D * DoProject1D(const char *name, const char *title, int imin1, int imax1, int imin2, int imax2, const TAxis *projAxis, const TAxis *axis1, const TAxis *axis2, Option_t *option) const
internal method performing the projection to 1D histogram called from TH3::Project3D
Double_t fTsumwz
Total Sum of weight*Z.
Double_t GetBinContent(Int_t binx, Int_t biny, Int_t binz) const override
void SetBinContent(Int_t bin, Double_t content) override
Set bin content.
Double_t fTsumwyz
Total Sum of weight*Y*Z.
TH3()
Default constructor.
Int_t GetBin(Int_t binx, Int_t biny, Int_t binz) const override
See comments in TH1::GetBin.
virtual void FitSlicesZ(TF1 *f1=nullptr, Int_t binminx=1, Int_t binmaxx=0, Int_t binminy=1, Int_t binmaxy=0, Int_t cut=0, Option_t *option="QNR")
Project slices along Z in case of a 3-D histogram, then fit each slice with function f1 and make a 2-...
virtual TH1 * ShowBackground3D(Int_t nIterX=20, Int_t nIterY=20, Int_t nIterZ=20, Option_t *option="same")
This function calculates the background spectrum in this histogram.
virtual TProfile2D * DoProjectProfile2D(const char *name, const char *title, const TAxis *projX, const TAxis *projY, bool originalRange, bool useUF, bool useOF, bool useWidth) const
internal method to project to a 2D Profile called from TH3::Project3DProfile
void PutStats(Double_t *stats) override
Replace current statistics with the values in array stats.
static THLimitsFinder * GetLimitsFinder()
Return pointer to the current finder.
virtual Int_t FindGoodLimitsXYZ(TH1 *h, Double_t xmin, Double_t xmax, Double_t ymin, Double_t ymax, Double_t zmin, Double_t zmax, Int_t newbinsx=0, Int_t newbinsy=0, Int_t newbinsz=0)
Compute the best axis limits and bins for the X, Y and Z axis if the corresponding newbins variable i...
THashList implements a hybrid collection class consisting of a hash table and a list to store TObject...
const char * GetName() const override
Returns name of object.
const char * GetTitle() const override
Returns title of object.
Collectable string class.
Mother of all ROOT objects.
Bool_t TestBit(UInt_t f) const
virtual const char * ClassName() const
Returns name of class to which the object belongs.
virtual void Warning(const char *method, const char *msgfmt,...) const
Issue warning message.
void SetBit(UInt_t f, Bool_t set)
Set or unset the user status bits as specified in f.
virtual Bool_t InheritsFrom(const char *classname) const
Returns kTRUE if object inherits from class "classname".
virtual void Error(const char *method, const char *msgfmt,...) const
Issue error message.
virtual TClass * IsA() const
TObject()
TObject constructor.
virtual void Info(const char *method, const char *msgfmt,...) const
Issue info message.
Profile2D histograms are used to display the mean value of Z and its error for each cell in X,...
void PutStats(Double_t *stats) override
Replace current statistics with the values in array stats.
Int_t Fill(const Double_t *v)
void Sumw2(Bool_t flag=kTRUE) override
Create/Delete structure to store sum of squares of weights per bin.
void SetBins(const Int_t *nbins, const Double_t *range)
virtual TArrayD * GetBinSumw2()
void Reset(Option_t *option="") override
Reset contents of a Profile2D histogram.
This is the base class for the ROOT Random number generators.
Double_t Rndm() override
Machine independent random number generator.
void ToLower()
Change string to lower-case.
Ssiz_t First(char c) const
Find first occurrence of a character c.
const char * Data() const
Ssiz_t Last(char c) const
Find last occurrence of a character c.
void ToUpper()
Change string to upper case.
TString & Remove(Ssiz_t pos)
static TString Format(const char *fmt,...)
Static method which formats a string using a printf style format descriptor and return a TString.
Bool_t Contains(const char *pat, ECaseCompare cmp=kExact) const
Ssiz_t Index(const char *pat, Ssiz_t i=0, ECaseCompare cmp=kExact) const
small helper class to store/restore gPad context in TPad methods
Short_t Max(Short_t a, Short_t b)
Returns the largest of a and b.
Double_t Prob(Double_t chi2, Int_t ndf)
Bool_t Permute(Int_t n, Int_t *a)
Double_t QuietNaN()
Returns a quiet NaN as defined by IEEE 754.
Double_t Floor(Double_t x)
Rounds x downward, returning the largest integral value that is not greater than x.
Double_t Log(Double_t x)
Returns the natural logarithm of x.
Double_t Sqrt(Double_t x)
Returns the square root of x.
Double_t Mean(Long64_t n, const T *a, const Double_t *w=nullptr)
Returns the weighted mean of an array a with length n.
Double_t KolmogorovProb(Double_t z)
Long64_t BinarySearch(Long64_t n, const T *array, T value)
Binary search in an array of n values to locate value.
Short_t Abs(Short_t d)
Returns the absolute value of parameter Short_t d.