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TSelectorDraw.cxx
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1 // @(#)root/treeplayer:$Id$
2 // Author: Rene Brun 08/01/2003
3 
4 /*************************************************************************
5  * Copyright (C) 1995-2000, Rene Brun and Fons Rademakers. *
6  * All rights reserved. *
7  * *
8  * For the licensing terms see $ROOTSYS/LICENSE. *
9  * For the list of contributors see $ROOTSYS/README/CREDITS. *
10  *************************************************************************/
11 
12 /** \class TSelectorDraw
13 A specialized TSelector for TTree::Draw.
14 */
15 
16 #include "TSelectorDraw.h"
17 #include "TROOT.h"
18 #include "TH2.h"
19 #include "TH3.h"
20 #include "TView.h"
21 #include "TGraph.h"
22 #include "TPolyMarker3D.h"
23 #include "TDirectory.h"
24 #include "TVirtualPad.h"
25 #include "TProfile.h"
26 #include "TProfile2D.h"
27 #include "TTreeFormulaManager.h"
28 #include "TEnv.h"
29 #include "TTree.h"
30 #include "TCut.h"
31 #include "TEntryList.h"
32 #include "TEventList.h"
33 #include "TEntryListArray.h"
34 #include "THLimitsFinder.h"
35 #include "TStyle.h"
36 #include "TClass.h"
37 #include "TColor.h"
38 
40 
42 
43 ////////////////////////////////////////////////////////////////////////////////
44 /// Default selector constructor.
45 
47 {
48  fTree = 0;
49  fW = 0;
50  fValSize = 4;
51  fVal = new Double_t*[fValSize];
52  fVmin = new Double_t[fValSize];
53  fVmax = new Double_t[fValSize];
54  fNbins = new Int_t[fValSize];
55  fVarMultiple = new Bool_t[fValSize];
56  fVar = new TTreeFormula*[fValSize];
57  for (Int_t i = 0; i < fValSize; ++i) {
58  fVal[i] = 0;
59  fVar[i] = 0;
60  }
61  fManager = 0;
62  fMultiplicity = 0;
63  fSelect = 0;
64  fSelectedRows = 0;
65  fDraw = 0;
66  fObject = 0;
67  fOldHistogram = 0;
68  fObjEval = kFALSE;
69  fSelectMultiple = kFALSE;
70  fCleanElist = kFALSE;
71  fTreeElist = 0;
72  fAction = 0;
73  fNfill = 0;
74  fDimension = 0;
75  fOldEstimate = 0;
76  fForceRead = 0;
77  fWeight = 1;
78  fCurrentSubEntry = -1;
79  fTreeElistArray = 0;
80 }
81 
82 ////////////////////////////////////////////////////////////////////////////////
83 /// Selector destructor.
84 
86 {
87  ClearFormula();
88  delete [] fVar;
89  if (fVal) {
90  for (Int_t i = 0; i < fValSize; ++i)
91  delete [] fVal[i];
92  delete [] fVal;
93  }
94  if (fVmin) delete [] fVmin;
95  if (fVmax) delete [] fVmax;
96  if (fNbins) delete [] fNbins;
97  if (fVarMultiple) delete [] fVarMultiple;
98  if (fW) delete [] fW;
99 }
100 
101 ////////////////////////////////////////////////////////////////////////////////
102 /// Called every time a loop on the tree(s) starts.
103 
105 {
106  SetStatus(0);
107  ResetAbort();
109  fSelectedRows = 0;
110  fTree = tree;
111  fDimension = 0;
112  fAction = 0;
113 
114  TObject *obj = fInput->FindObject("varexp");
115  const char *varexp0 = obj ? obj->GetTitle() : "";
116  obj = fInput->FindObject("selection");
117  const char *selection = obj ? obj->GetTitle() : "";
118  const char *option = GetOption();
119 
120  TString opt, abrt;
121  char *hdefault = (char *)"htemp";
122  char *varexp = nullptr;
123  Int_t i, j, hkeep;
124  opt = option;
125  opt.ToLower();
126  fOldHistogram = 0;
127  TEntryList *enlist = 0;
128  TEventList *evlist = 0;
129  TString htitle;
130  Bool_t profile = kFALSE;
131  Bool_t optSame = kFALSE;
132  Bool_t optEnlist = kFALSE;
133  Bool_t optEnlistArray = kFALSE;
134  Bool_t optpara = kFALSE;
135  Bool_t optcandle = kFALSE;
136  Bool_t opt5d = kFALSE;
137  if (opt.Contains("same")) {
138  optSame = kTRUE;
139  opt.ReplaceAll("same", "");
140  }
141  if (opt.Contains("entrylist")) {
142  optEnlist = kTRUE;
143  if (opt.Contains("entrylistarray")) {
144  optEnlistArray = kTRUE;
145  opt.ReplaceAll("entrylistarray", "");
146  } else {
147  opt.ReplaceAll("entrylist", "");
148  }
149  }
150  if (opt.Contains("para")) {
151  optpara = kTRUE;
152  opt.ReplaceAll("para", "");
153  }
154  if (opt.Contains("candle")) {
155  optcandle = kTRUE;
156  opt.ReplaceAll("candle", "");
157  }
158  if (opt.Contains("gl5d")) {
159  opt5d = kTRUE;
160  opt.ReplaceAll("gl5d", "");
161  }
162  TCut realSelection(selection);
163  //input list - only TEntryList
164  TEntryList *inElist = fTree->GetEntryList();
165  evlist = fTree->GetEventList();
166  if (evlist && inElist) {
167  //this is needed because the input entry list was created
168  //by the fTree from the input TEventList and is owned by the fTree.
169  //Calling GetEntryList function changes ownership and here
170  //we want fTree to still delete this entry list
171 
172  inElist->SetBit(kCanDelete, kTRUE);
173  }
175  fTreeElist = inElist;
176 
177  fTreeElistArray = inElist ? dynamic_cast<TEntryListArray*>(fTreeElist) : 0;
178 
179 
180  if (inElist && inElist->GetReapplyCut()) {
181  realSelection *= inElist->GetTitle();
182  }
183 
184  // what each variable should contain:
185  // varexp0 - original expression eg "a:b>>htest"
186  // hname - name of new or old histogram
187  // hkeep - flag if to keep new histogram
188  // hnameplus - flag if to add to current histo
189  // i - length of variable expression stipped of everything after ">>"
190  // varexp - variable expression stipped of everything after ">>"
191  // fOldHistogram - pointer to hist hname
192  // elist - pointer to selection list of hname
193 
194  Bool_t canExtend = kTRUE;
195  if (optSame) canExtend = kFALSE;
196 
197  Int_t nbinsx = 0, nbinsy = 0, nbinsz = 0;
198  Double_t xmin = 0, xmax = 0, ymin = 0, ymax = 0, zmin = 0, zmax = 0;
199 
200  fObject = 0;
201  char *hname = 0;
202  char *hnamealloc = 0;
203  i = 0;
204  if (varexp0 && strlen(varexp0)) {
205  for (UInt_t k = strlen(varexp0) - 1; k > 0; k--) {
206  if (varexp0[k] == '>' && varexp0[k-1] == '>') {
207  i = (int)(&(varexp0[k-1]) - varexp0); // length of varexp0 before ">>"
208  hnamealloc = new char[strlen(&(varexp0[k+1])) + 1];
209  hname = hnamealloc;
210  strcpy(hname, &(varexp0[k+1]));
211  break;
212  }
213  }
214  }
215  // char *hname = (char*)strstr(varexp0,">>");
216  if (hname) {
217  hkeep = 1;
218  varexp = new char[i+1];
219  varexp[0] = 0; //necessary if i=0
220  Bool_t hnameplus = kFALSE;
221  while (*hname == ' ') hname++;
222  if (*hname == '+') {
223  hnameplus = kTRUE;
224  hname++;
225  while (*hname == ' ') hname++; //skip ' '
226  }
227  j = strlen(hname) - 1; // skip ' ' at the end
228  while (j) {
229  if (hname[j] != ' ') break;
230  hname[j] = 0;
231  j--;
232  }
233 
234  if (i) {
235  strlcpy(varexp,varexp0,i+1);
236 
237  Int_t mustdelete = 0;
239 
240  // parse things that follow the name of the histo between '(' and ')'.
241  // At this point hname contains the name of the specified histogram.
242  // Now the syntax is extended to handle an hname of the following format
243  // hname(nBIN [[,[xlow]][,xhigh]],...)
244  // so enclosed in brackets is the binning information, xlow, xhigh, and
245  // the same for the other dimensions
246 
247  char *pstart; // pointer to '('
248  char *pend; // pointer to ')'
249  char *cdummy; // dummy pointer
250  int ncomma; // number of commas between '(' and ')', later number of arguments
251  int ncols; // number of columns in varexpr
252  Double_t value; // parsed value (by sscanf)
253 
254  const Int_t maxvalues = 9;
255 
256  pstart = strchr(hname, '(');
257  pend = strchr(hname, ')');
258  if (pstart != 0) { // found the bracket
259 
260  mustdelete = 1;
261 
262  // check that there is only one open and close bracket
263  if (pstart == strrchr(hname, '(') && pend == strrchr(hname, ')')) {
264 
265  // count number of ',' between '(' and ')'
266  ncomma = 0;
267  cdummy = pstart;
268  cdummy = strchr(&cdummy[1], ',');
269  while (cdummy != 0) {
270  cdummy = strchr(&cdummy[1], ',');
271  ncomma++;
272  }
273 
274  if (ncomma + 1 > maxvalues) {
275  Error("DrawSelect", "ncomma+1>maxvalues, ncomma=%d, maxvalues=%d", ncomma, maxvalues);
276  ncomma = maxvalues - 1;
277  }
278 
279  ncomma++; // number of arguments
280  cdummy = pstart;
281 
282  // number of columns
283  ncols = 1;
284  for (j = 0; j < i; j++) {
285  if (varexp[j] == ':'
286  && !((j > 0 && varexp[j-1] == ':') || varexp[j+1] == ':')
287  ) {
288  ncols++;
289  }
290  }
291  if (ncols > 3) { // max 3 columns
292  Error("DrawSelect", "ncols > 3, ncols=%d", ncols);
293  ncols = 0;
294  }
295 
296  // check dimensions before and after ">>"
297  if (ncols * 3 < ncomma) {
298  Error("DrawSelect", "ncols*3 < ncomma ncols=%d, ncomma=%d", ncols, ncomma);
299  ncomma = ncols * 3;
300  }
301 
302  // scan the values one after the other
303  for (j = 0; j < ncomma; j++) {
304  cdummy++; // skip '(' or ','
305  if (sscanf(cdummy, " %lf ", &value) == 1) {
306  cdummy = strchr(&cdummy[1], ',');
307 
308  switch (j) { // do certain settings depending on position of argument
309  case 0: // binning x-axis
310  nbinsx = (Int_t)value;
311  if (ncols < 2) {
312  gEnv->SetValue("Hist.Binning.1D.x", nbinsx);
313  } else if (ncols < 3) {
314  gEnv->SetValue("Hist.Binning.2D.x", nbinsx);
315  gEnv->SetValue("Hist.Binning.2D.Prof", nbinsx);
316  } else {
317  gEnv->SetValue("Hist.Binning.3D.x", nbinsx);
318  gEnv->SetValue("Hist.Binning.3D.Profx", nbinsx);
319  }
320 
321  break;
322  case 1: // lower limit x-axis
323  xmin = value;
324  break;
325  case 2: // upper limit x-axis
326  xmax = value;
327  break;
328  case 3: // binning y-axis
329  nbinsy = (Int_t)value;
330  if (ncols < 3) gEnv->SetValue("Hist.Binning.2D.y", nbinsy);
331  else {
332  gEnv->SetValue("Hist.Binning.3D.y", nbinsy);
333  gEnv->SetValue("Hist.Binning.3D.Profy", nbinsy);
334  }
335  break;
336  case 4: // lower limit y-axis
337  ymin = value;
338  break;
339  case 5: // upper limit y-axis
340  ymax = value;
341  break;
342  case 6: // binning z-axis
343  nbinsz = (Int_t)value;
344  gEnv->SetValue("Hist.Binning.3D.z", nbinsz);
345  break;
346  case 7: // lower limit z-axis
347  zmin = value;
348  break;
349  case 8: // upper limit z-axis
350  zmax = value;
351  break;
352  default:
353  Error("DrawSelect", "j>8");
354  break;
355  }
356  } // if sscanf == 1
357  } // for j=0;j<ncomma;j++
358  } else {
359  Error("Begin", "Two open or close brackets found, hname=%s", hname);
360  }
361 
362  // fix up hname
363  pstart[0] = '\0'; // removes things after (and including) '('
364  } // if '(' is found
365 
366  j = strlen(hname) - 1; // skip ' ' at the end
367  while (j > 0) {
368  if (hname[j] != ' ') break; // skip ' ' at the end
369  hname[j] = 0;
370  j--;
371  }
372 
373  TObject *oldObject = gDirectory->Get(hname); // if hname contains '(...)' the return values is NULL, which is what we want
374  fOldHistogram = oldObject ? dynamic_cast<TH1*>(oldObject) : 0;
375 
376  if (!fOldHistogram && oldObject && !oldObject->InheritsFrom(TH1::Class())) {
377  abrt.Form("An object of type '%s' has the same name as the requested histo (%s)", oldObject->IsA()->GetName(), hname);
378  Abort(abrt);
379  return;
380  delete[] varexp;
381  }
382  if (fOldHistogram && !hnameplus) fOldHistogram->Reset(); // reset unless adding is wanted
383 
384  if (mustdelete) {
385  if (gDebug) {
386  Warning("Begin", "Deleting old histogram, since (possibly new) limits and binnings have been given");
387  }
388  delete fOldHistogram; fOldHistogram=0;
389  }
390 
391  } else {
392  // make selection list (i.e. varexp0 starts with ">>")
393  TObject *oldObject = gDirectory->Get(hname);
394  if (optEnlist) {
395  //write into a TEntryList
396  enlist = oldObject ? dynamic_cast<TEntryList*>(oldObject) : 0;
397 
398  if (!enlist && oldObject) {
399  abrt.Form("An object of type '%s' has the same name as the requested event list (%s)",
400  oldObject->IsA()->GetName(), hname);
401  Abort(abrt);
402  delete[] varexp;
403  return;
404  }
405  if (!enlist) {
406  if (optEnlistArray) {
407  enlist = new TEntryListArray(hname, realSelection.GetTitle());
408  } else {
409  enlist = new TEntryList(hname, realSelection.GetTitle());
410  }
411  }
412  if (enlist) {
413  if (!hnameplus) {
414  if (enlist == inElist) {
415  // We have been asked to reset the input list!!
416  // Let's set it aside for now ...
417  if (optEnlistArray) {
418  inElist = new TEntryListArray(*enlist);
419  } else {
420  inElist = new TEntryList(*enlist);
421  }
422  fCleanElist = kTRUE;
423  fTree->SetEntryList(inElist);
424  }
425  enlist->Reset();
426  enlist->SetTitle(realSelection.GetTitle());
427  } else {
428  TCut old = enlist->GetTitle();
429  TCut upd = old || realSelection.GetTitle();
430  enlist->SetTitle(upd.GetTitle());
431  }
432  }
433  } else {
434  //write into a TEventList
435  evlist = oldObject ? dynamic_cast<TEventList*>(oldObject) : 0;
436 
437  if (!evlist && oldObject) {
438  abrt.Form("An object of type '%s' has the same name as the requested event list (%s)",
439  oldObject->IsA()->GetName(), hname);
440  Abort(abrt);
441  return;
442  }
443  if (!evlist) {
444  evlist = new TEventList(hname, realSelection.GetTitle(), 1000, 0);
445  }
446  if (evlist) {
447  if (!hnameplus) {
448  if (evlist == fTree->GetEventList()) {
449  // We have been asked to reset the input list!!
450  // Let's set it aside for now ...
451  Abort("Input and output lists are the same!");
452  delete[] varexp;
453  return;
454  }
455  evlist->Reset();
456  evlist->SetTitle(realSelection.GetTitle());
457  } else {
458  TCut old = evlist->GetTitle();
459  TCut upd = old || realSelection.GetTitle();
460  evlist->SetTitle(upd.GetTitle());
461  }
462  }
463  }
464 
465  } // if (i)
466  } else { // if (hname)
467  hname = hdefault;
468  hkeep = 0;
469  const size_t varexpLen = strlen(varexp0) + 1;
470  varexp = new char[varexpLen];
471  strlcpy(varexp, varexp0, varexpLen);
472  if (gDirectory) {
473  fOldHistogram = (TH1*)gDirectory->Get(hname);
475  }
476  }
477 
478  // Decode varexp and selection
479  if (!CompileVariables(varexp, realSelection.GetTitle())) {
480  abrt.Form("Variable compilation failed: {%s,%s}", varexp, realSelection.GetTitle());
481  Abort(abrt);
482  delete[] varexp;
483  return;
484  }
485  if (fDimension > 4 && !(optpara || optcandle || opt5d || opt.Contains("goff"))) {
486  Abort("Too many variables. Use the option \"para\", \"gl5d\" or \"candle\" to display more than 4 variables.");
487  delete[] varexp;
488  return;
489  }
490  if (fDimension < 2 && (optpara || optcandle)) {
491  Abort("The options \"para\" and \"candle\" require at least 2 variables.");
492  delete[] varexp;
493  return;
494  }
495 
496  // In case fOldHistogram exists, check dimensionality
497  Int_t nsel = strlen(selection);
498  if (nsel > 1) {
499  htitle.Form("%s {%s}", varexp, selection);
500  } else {
501  htitle = varexp;
502  }
503  if (fOldHistogram) {
504  Int_t olddim = fOldHistogram->GetDimension();
505  Int_t mustdelete = 0;
507  profile = kTRUE;
508  olddim = 2;
509  }
511  profile = kTRUE;
512  olddim = 3;
513  }
514  if (opt.Contains("prof") && fDimension > 1) {
515  // ignore "prof" for 1D.
516  if (!profile || olddim != fDimension) mustdelete = 1;
517  } else if (opt.Contains("col") && fDimension>2) {
518  if (olddim+1 != fDimension) mustdelete = 1;
519  } else {
520  if (olddim != fDimension) mustdelete = 1;
521  }
522  if (mustdelete) {
523  Warning("Begin", "Deleting old histogram with different dimensions");
524  delete fOldHistogram;
525  fOldHistogram = 0;
526  }
527  }
528 
529  // Create a default canvas if none exists
530  fDraw = 0;
531  if (!gPad && !opt.Contains("goff") && fDimension > 0) {
532  gROOT->MakeDefCanvas();
533  if (!gPad) {
534  Abort("Creation of default canvas failed");
535  delete[] varexp;
536  return;
537  }
538  }
539 
540  // 1-D distribution
541  TH1 *hist;
542  if (fDimension == 1) {
543  fAction = 1;
544  if (!fOldHistogram) {
545  fNbins[0] = gEnv->GetValue("Hist.Binning.1D.x", 100);
546  if (gPad && optSame) {
547  TListIter np(gPad->GetListOfPrimitives());
548  TObject *op;
549  TH1 *oldhtemp = 0;
550  while ((op = np()) && !oldhtemp) {
551  if (op->InheritsFrom(TH1::Class())) oldhtemp = (TH1 *)op;
552  }
553  if (oldhtemp) {
554  fNbins[0] = oldhtemp->GetXaxis()->GetNbins();
555  fVmin[0] = oldhtemp->GetXaxis()->GetXmin();
556  fVmax[0] = oldhtemp->GetXaxis()->GetXmax();
557  } else {
558  fVmin[0] = gPad->GetUxmin();
559  fVmax[0] = gPad->GetUxmax();
560  }
561  } else {
562  fAction = -1;
563  fVmin[0] = xmin;
564  fVmax[0] = xmax;
565  if (xmin < xmax) canExtend = kFALSE;
566  }
567  }
568  if (fOldHistogram) {
569  hist = fOldHistogram;
570  fNbins[0] = hist->GetXaxis()->GetNbins();
571  } else {
572  TString precision = gEnv->GetValue("Hist.Precision.1D", "float");
573  if (precision.Contains("float")) {
574  hist = new TH1F(hname, htitle.Data(), fNbins[0], fVmin[0], fVmax[0]);
575  } else {
576  hist = new TH1D(hname, htitle.Data(), fNbins[0], fVmin[0], fVmax[0]);
577  }
578  hist->SetLineColor(fTree->GetLineColor());
579  hist->SetLineWidth(fTree->GetLineWidth());
580  hist->SetLineStyle(fTree->GetLineStyle());
581  hist->SetFillColor(fTree->GetFillColor());
582  hist->SetFillStyle(fTree->GetFillStyle());
586  if (canExtend) hist->SetCanExtend(TH1::kAllAxes);
587  if (!hkeep) {
588  hist->GetXaxis()->SetTitle(fVar[0]->GetTitle());
589  hist->SetBit(kCanDelete);
590  if (!opt.Contains("goff")) hist->SetDirectory(0);
591  }
592  if (opt.Length() && opt.Contains("e")) hist->Sumw2();
593  }
594  fVar[0]->SetAxis(hist->GetXaxis());
595  fObject = hist;
596 
597  // 2-D distribution
598  } else if (fDimension == 2 && !(optpara || optcandle)) {
599  fAction = 2;
600  if (!fOldHistogram || !optSame) {
601  fNbins[0] = gEnv->GetValue("Hist.Binning.2D.y", 40);
602  fNbins[1] = gEnv->GetValue("Hist.Binning.2D.x", 40);
603  if (opt.Contains("prof")) fNbins[1] = gEnv->GetValue("Hist.Binning.2D.Prof", 100);
604  if (optSame) {
605  TH1 *oldhtemp = (TH1*)gPad->FindObject(hdefault);
606  if (oldhtemp) {
607  fNbins[1] = oldhtemp->GetXaxis()->GetNbins();
608  fVmin[1] = oldhtemp->GetXaxis()->GetXmin();
609  fVmax[1] = oldhtemp->GetXaxis()->GetXmax();
610  fNbins[0] = oldhtemp->GetYaxis()->GetNbins();
611  fVmin[0] = oldhtemp->GetYaxis()->GetXmin();
612  fVmax[0] = oldhtemp->GetYaxis()->GetXmax();
613  } else {
614  fNbins[1] = gEnv->GetValue("Hist.Binning.2D.x", 40);
615  fVmin[1] = gPad->GetUxmin();
616  fVmax[1] = gPad->GetUxmax();
617  fNbins[0] = gEnv->GetValue("Hist.Binning.2D.y", 40);
618  fVmin[0] = gPad->GetUymin();
619  fVmax[0] = gPad->GetUymax();
620  }
621  } else {
622  if (!fOldHistogram) fAction = -2;
623  fVmin[1] = xmin;
624  fVmax[1] = xmax;
625  fVmin[0] = ymin;
626  fVmax[0] = ymax;
627  if (xmin < xmax && ymin < ymax) canExtend = kFALSE;
628  }
629  }
630  if (profile || opt.Contains("prof")) {
631  TProfile *hp;
632  if (fOldHistogram) {
633  fAction = 4;
634  hp = (TProfile*)fOldHistogram;
635  } else {
636  if (fAction < 0) {
637  fAction = -4;
638  fVmin[1] = xmin;
639  fVmax[1] = xmax;
640  if (xmin < xmax) canExtend = kFALSE;
641  }
642  if (fAction == 2) {
643  //we come here when option = "same prof"
644  fAction = -4;
645  TH1 *oldhtemp = (TH1*)gPad->FindObject(hdefault);
646  if (oldhtemp) {
647  fNbins[1] = oldhtemp->GetXaxis()->GetNbins();
648  fVmin[1] = oldhtemp->GetXaxis()->GetXmin();
649  fVmax[1] = oldhtemp->GetXaxis()->GetXmax();
650  }
651  }
652  if (opt.Contains("profs")) {
653  hp = new TProfile(hname, htitle.Data(), fNbins[1], fVmin[1], fVmax[1], "s");
654  } else if (opt.Contains("profi")) {
655  hp = new TProfile(hname, htitle.Data(), fNbins[1], fVmin[1], fVmax[1], "i");
656  } else if (opt.Contains("profg")) {
657  hp = new TProfile(hname, htitle.Data(), fNbins[1], fVmin[1], fVmax[1], "g");
658  } else {
659  hp = new TProfile(hname, htitle.Data(), fNbins[1], fVmin[1], fVmax[1], "");
660  }
661  if (!hkeep) {
662  hp->SetBit(kCanDelete);
663  if (!opt.Contains("goff")) hp->SetDirectory(0);
664  }
673  if (canExtend) hp->SetCanExtend(TH1::kAllAxes);
674  }
675  fVar[1]->SetAxis(hp->GetXaxis());
676  fObject = hp;
677 
678  } else {
679  TH2 *h2;
680  if (fOldHistogram) {
681  h2 = (TH2F*)fOldHistogram;
682  } else {
683  TString precision = gEnv->GetValue("Hist.Precision.2D", "float");
684  if (precision.Contains("float")) {
685  h2 = new TH2F(hname, htitle.Data(), fNbins[1], fVmin[1], fVmax[1], fNbins[0], fVmin[0], fVmax[0]);
686  } else {
687  h2 = new TH2D(hname, htitle.Data(), fNbins[1], fVmin[1], fVmax[1], fNbins[0], fVmin[0], fVmax[0]);
688  }
697  if (canExtend) h2->SetCanExtend(TH1::kAllAxes);
698  if (!hkeep) {
699  h2->GetXaxis()->SetTitle(fVar[1]->GetTitle());
700  h2->GetYaxis()->SetTitle(fVar[0]->GetTitle());
701  h2->SetBit(TH1::kNoStats);
702  h2->SetBit(kCanDelete);
703  if (!opt.Contains("goff")) h2->SetDirectory(0);
704  }
705  }
706  fVar[0]->SetAxis(h2->GetYaxis());
707  fVar[1]->SetAxis(h2->GetXaxis());
708  Bool_t graph = kFALSE;
709  Int_t l = opt.Length();
710  if (l == 0 || optSame) graph = kTRUE;
711  if (opt.Contains("p") || opt.Contains("*") || opt.Contains("l")) graph = kTRUE;
712  if (opt.Contains("surf") || opt.Contains("lego") || opt.Contains("cont")) graph = kFALSE;
713  if (opt.Contains("col") || opt.Contains("hist") || opt.Contains("scat")) graph = kFALSE;
714  if (opt.Contains("box")) graph = kFALSE;
715  fObject = h2;
716  if (graph) {
717  fAction = 12;
718  if (!fOldHistogram && !optSame) fAction = -12;
719  }
720  }
721 
722  // 3-D distribution
723  } else if ((fDimension == 3 || fDimension == 4) && !(optpara || optcandle)) {
724  fAction = 3;
725  if (fDimension == 4) fAction = 40;
726  if (!fOldHistogram || !optSame) {
727  fNbins[0] = gEnv->GetValue("Hist.Binning.3D.z", 20);
728  fNbins[1] = gEnv->GetValue("Hist.Binning.3D.y", 20);
729  fNbins[2] = gEnv->GetValue("Hist.Binning.3D.x", 20);
730  if (fDimension == 3 && opt.Contains("prof")) {
731  fNbins[1] = gEnv->GetValue("Hist.Binning.3D.Profy", 20);
732  fNbins[2] = gEnv->GetValue("Hist.Binning.3D.Profx", 20);
733  }
734  if (fDimension == 3 && opt.Contains("col")) {
735  fNbins[0] = gEnv->GetValue("Hist.Binning.2D.y", 40);
736  fNbins[1] = gEnv->GetValue("Hist.Binning.2D.x", 40);
737  }
738  if (optSame) {
739  TH1 *oldhtemp = (TH1*)gPad->FindObject(hdefault);
740  if (oldhtemp) {
741  fNbins[2] = oldhtemp->GetXaxis()->GetNbins();
742  fVmin[2] = oldhtemp->GetXaxis()->GetXmin();
743  fVmax[2] = oldhtemp->GetXaxis()->GetXmax();
744  fNbins[1] = oldhtemp->GetYaxis()->GetNbins();
745  fVmin[1] = oldhtemp->GetYaxis()->GetXmin();
746  fVmax[1] = oldhtemp->GetYaxis()->GetXmax();
747  fNbins[0] = oldhtemp->GetZaxis()->GetNbins();
748  fVmin[0] = oldhtemp->GetZaxis()->GetXmin();
749  fVmax[0] = oldhtemp->GetZaxis()->GetXmax();
750  } else {
751  TView *view = gPad->GetView();
752  if (!view) {
753  Error("Begin", "You cannot use option same when no 3D view exists");
754  fVmin[0] = fVmin[1] = fVmin[2] = -1;
755  fVmax[0] = fVmax[1] = fVmax[2] = 1;
756  view = TView::CreateView(1, fVmin, fVmax);
757  }
758  Double_t *rmin = view->GetRmin();
759  Double_t *rmax = view->GetRmax();
760  fNbins[2] = gEnv->GetValue("Hist.Binning.3D.z", 20);
761  fVmin[2] = rmin[0];
762  fVmax[2] = rmax[0];
763  fNbins[1] = gEnv->GetValue("Hist.Binning.3D.y", 20);
764  fVmin[1] = rmin[1];
765  fVmax[1] = rmax[1];
766  fNbins[0] = gEnv->GetValue("Hist.Binning.3D.x", 20);
767  fVmin[0] = rmin[2];
768  fVmax[0] = rmax[2];
769  }
770  } else {
771  if (!fOldHistogram && fDimension == 3) fAction = -3;
772  fVmin[2] = xmin;
773  fVmax[2] = xmax;
774  fVmin[1] = ymin;
775  fVmax[1] = ymax;
776  fVmin[0] = zmin;
777  fVmax[0] = zmax;
778  if (xmin < xmax && ymin < ymax && zmin < zmax) canExtend = kFALSE;
779  }
780  }
781  if ((fDimension == 3) && (profile || opt.Contains("prof"))) {
782  TProfile2D *hp;
783  if (fOldHistogram) {
784  fAction = 23;
785  hp = (TProfile2D*)fOldHistogram;
786  } else {
787  if (fAction < 0) {
788  fAction = -23;
789  fVmin[2] = xmin;
790  fVmax[2] = xmax;
791  fVmin[1] = ymin;
792  fVmax[1] = ymax;
793  if (xmin < xmax && ymin < ymax) canExtend = kFALSE;
794  }
795  if (opt.Contains("profs")) {
796  hp = new TProfile2D(hname, htitle.Data(), fNbins[2], fVmin[2], fVmax[2], fNbins[1], fVmin[1], fVmax[1], "s");
797  } else if (opt.Contains("profi")) {
798  hp = new TProfile2D(hname, htitle.Data(), fNbins[2], fVmin[2], fVmax[2], fNbins[1], fVmin[1], fVmax[1], "i");
799  } else if (opt.Contains("profg")) {
800  hp = new TProfile2D(hname, htitle.Data(), fNbins[2], fVmin[2], fVmax[2], fNbins[1], fVmin[1], fVmax[1], "g");
801  } else {
802  hp = new TProfile2D(hname, htitle.Data(), fNbins[2], fVmin[2], fVmax[2], fNbins[1], fVmin[1], fVmax[1], "");
803  }
804  if (!hkeep) {
805  hp->SetBit(kCanDelete);
806  if (!opt.Contains("goff")) hp->SetDirectory(0);
807  }
816  if (canExtend) hp->SetCanExtend(TH1::kAllAxes);
817  }
818  fVar[1]->SetAxis(hp->GetYaxis());
819  fVar[2]->SetAxis(hp->GetXaxis());
820  fObject = hp;
821  } else if (fDimension == 3 && opt.Contains("col")) {
822  TH2F *h2;
823  if (fOldHistogram) {
824  h2 = (TH2F*)fOldHistogram;
825  } else {
826  h2 = new TH2F(hname, htitle.Data(), fNbins[1], fVmin[1], fVmax[1], fNbins[0], fVmin[0], fVmax[0]);
835  if (canExtend) h2->SetCanExtend(TH1::kAllAxes);
836  if (!hkeep) {
837  h2->GetXaxis()->SetTitle(fVar[1]->GetTitle());
838  h2->GetYaxis()->SetTitle(fVar[0]->GetTitle());
839  h2->GetZaxis()->SetTitle(fVar[2]->GetTitle());
840  h2->SetBit(TH1::kNoStats);
841  h2->SetBit(kCanDelete);
842  if (!opt.Contains("goff")) h2->SetDirectory(0);
843  }
844  }
845  fVar[0]->SetAxis(h2->GetYaxis());
846  fVar[1]->SetAxis(h2->GetXaxis());
847  fObject = h2;
848  fAction = 33;
849  } else {
850  TH3 *h3;
851  if (fOldHistogram) {
852  h3 = (TH3F*)fOldHistogram;
853  } else {
854  TString precision = gEnv->GetValue("Hist.Precision.3D", "float");
855  if (precision.Contains("float")) {
856  h3 = new TH3F(hname, htitle.Data(), fNbins[2], fVmin[2], fVmax[2], fNbins[1], fVmin[1], fVmax[1], fNbins[0], fVmin[0], fVmax[0]);
857  } else {
858  h3 = new TH3D(hname, htitle.Data(), fNbins[2], fVmin[2], fVmax[2], fNbins[1], fVmin[1], fVmax[1], fNbins[0], fVmin[0], fVmax[0]);
859  }
868  if (canExtend) h3->SetCanExtend(TH1::kAllAxes);
869  if (!hkeep) {
870  //small correction for the title offsets in x,y to take into account the angles
871  Double_t xoffset = h3->GetXaxis()->GetTitleOffset();
872  Double_t yoffset = h3->GetYaxis()->GetTitleOffset();
873  h3->GetXaxis()->SetTitleOffset(1.2 * xoffset);
874  h3->GetYaxis()->SetTitleOffset(1.2 * yoffset);
875  h3->GetXaxis()->SetTitle(fVar[2]->GetTitle());
876  h3->GetYaxis()->SetTitle(fVar[1]->GetTitle());
877  h3->GetZaxis()->SetTitle(fVar[0]->GetTitle());
878  h3->SetBit(kCanDelete);
879  h3->SetBit(TH1::kNoStats);
880  if (!opt.Contains("goff")) h3->SetDirectory(0);
881  }
882  }
883  fVar[0]->SetAxis(h3->GetZaxis());
884  fVar[1]->SetAxis(h3->GetYaxis());
885  fVar[2]->SetAxis(h3->GetXaxis());
886  fObject = h3;
887  Int_t noscat = strlen(option);
888  if (optSame) noscat -= 4;
889  if (!noscat && fDimension == 3) {
890  fAction = 13;
891  if (!fOldHistogram && !optSame) fAction = -13;
892  }
893  }
894  // An Event List
895  } else if (enlist) {
896  fAction = 5;
898  fTree->SetEstimate(1);
899  fObject = enlist;
900  } else if (evlist) {
901  fAction = 5;
903  fTree->SetEstimate(1);
904  fObject = evlist;
905  } else if (optcandle || optpara || opt5d) {
906  if (optcandle) fAction = 7;
907  else if (opt5d) fAction = 8;
908  else fAction = 6;
909  }
910  if (varexp) delete[] varexp;
911  if (hnamealloc) delete[] hnamealloc;
912  for (i = 0; i < fValSize; ++i)
913  fVarMultiple[i] = kFALSE;
915  for (i = 0; i < fDimension; ++i) {
916  if (fVar[i] && fVar[i]->GetMultiplicity()) fVarMultiple[i] = kTRUE;
917  }
918 
920 
922  fWeight = fTree->GetWeight();
923  fNfill = 0;
924 
925  for (i = 0; i < fDimension; ++i) {
926  if (!fVal[i] && fVar[i]) {
927  fVal[i] = new Double_t[(Int_t)fTree->GetEstimate()];
928  }
929  }
930 
931  if (!fW) fW = new Double_t[(Int_t)fTree->GetEstimate()];
932 
933  for (i = 0; i < fValSize; ++i) {
934  fVmin[i] = DBL_MAX;
935  fVmax[i] = -DBL_MAX;
936  }
937 }
938 
939 ////////////////////////////////////////////////////////////////////////////////
940 /// Delete internal buffers.
941 
943 {
944  ResetBit(kWarn);
945  for (Int_t i = 0; i < fValSize; ++i) {
946  delete fVar[i];
947  fVar[i] = 0;
948  }
949  delete fSelect; fSelect = 0;
950  fManager = 0;
951  fMultiplicity = 0;
952 }
953 
954 ////////////////////////////////////////////////////////////////////////////////
955 /// Compile input variables and selection expression.
956 ///
957 /// varexp is an expression of the general form e1:e2:e3
958 /// where e1,etc is a formula referencing a combination of the columns
959 ///
960 /// Example:
961 ///
962 /// varexp = x simplest case: draw a 1-Dim distribution of column named x
963 /// = sqrt(x) : draw distribution of sqrt(x)
964 /// = x*y/z
965 /// = y:sqrt(x) 2-Dim distribution of y versus sqrt(x)
966 ///
967 /// selection is an expression with a combination of the columns
968 ///
969 /// Example:
970 ///
971 /// selection = "x<y && sqrt(z)>3.2"
972 ///
973 /// in a selection all the C++ operators are authorized
974 ///
975 /// Return kFALSE if any of the variable is not compilable.
976 
977 Bool_t TSelectorDraw::CompileVariables(const char *varexp, const char *selection)
978 {
979  Int_t i, nch, ncols;
980 
981  // Compile selection expression if there is one
982  fDimension = 0;
983  ClearFormula();
984  fMultiplicity = 0;
985  fObjEval = kFALSE;
986 
987  if (strlen(selection)) {
988  fSelect = new TTreeFormula("Selection", selection, fTree);
990  if (!fSelect->GetNdim()) {
991  delete fSelect;
992  fSelect = 0;
993  return kFALSE;
994  }
995  }
996 
997  // if varexp is empty, take first column by default
998  nch = strlen(varexp);
999  if (nch == 0) {
1000  fDimension = 0;
1001  if (fSelect) {
1003  }
1005 
1006  if (fManager) {
1007  fManager->Sync();
1008 
1011  }
1012 
1013  return kTRUE;
1014  }
1015 
1016  // otherwise select only the specified columns
1017  std::vector<TString> varnames;
1018  ncols = SplitNames(varexp, varnames);
1019 
1020  InitArrays(ncols);
1021 
1022  fManager = new TTreeFormulaManager();
1023  if (fSelect) fManager->Add(fSelect);
1025  for (i = 0; i < ncols; ++i) {
1026  fVar[i] = new TTreeFormula(TString::Format("Var%i", i + 1), varnames[i].Data(), fTree);
1027  fVar[i]->SetQuickLoad(kTRUE);
1028  if(!fVar[i]->GetNdim()) { ClearFormula(); return kFALSE; }
1029  fManager->Add(fVar[i]);
1030  }
1031  fManager->Sync();
1032 
1035 
1036  fDimension = ncols;
1037 
1038  if (ncols == 1) {
1039  TClass *cl = fVar[0]->EvalClass();
1040  if (cl) {
1041  fObjEval = kTRUE;
1042  }
1043  }
1044  return kTRUE;
1045 }
1046 
1047 ////////////////////////////////////////////////////////////////////////////////
1048 /// Return the last values corresponding to the i-th component
1049 /// of the formula being processed (where the component are ':' separated).
1050 /// The actual number of entries is:
1051 ///
1052 /// GetSelectedRows() % tree->GetEstimate()
1053 ///
1054 /// Note GetSelectedRows currently returns the actual number of values plotted
1055 /// and thus if the formula contains arrays, this number might be greater than
1056 /// the number of entries in the trees.
1057 ///
1058 /// By default TTree::Draw creates the arrays obtained
1059 /// with all GetVal and GetW with a length corresponding to the
1060 /// parameter fEstimate. By default fEstimate=10000 and can be modified
1061 /// via TTree::SetEstimate. A possible recipe is to do
1062 ///
1063 /// tree->SetEstimate(tree->GetEntries());
1064 ///
1065 /// You must call SetEstimate if the expected number of selected rows
1066 /// is greater than 10000.
1067 ///
1068 /// See TTree::Draw for additional details.
1069 
1071 {
1072  if (i < 0 || i >= fDimension)
1073  return 0;
1074  else
1075  return fVal[i];
1076 }
1077 
1078 ////////////////////////////////////////////////////////////////////////////////
1079 /// Return the TTreeFormula corresponding to the i-th component
1080 /// of the request formula (where the component are ':' separated).
1081 
1083 {
1084  if (i < 0 || i >= fDimension)
1085  return 0;
1086  else
1087  return fVar[i];
1088 }
1089 
1090 ////////////////////////////////////////////////////////////////////////////////
1091 /// Initialization of the primitive type arrays if the new size is bigger than the available space.
1092 
1094 {
1095  if (newsize > fValSize) {
1096  Int_t oldsize = fValSize;
1097  while (fValSize < newsize)
1098  fValSize *= 2; // Double the available space until it matches the new size.
1099  if (fNbins) delete [] fNbins;
1100  if (fVmin) delete [] fVmin;
1101  if (fVmax) delete [] fVmax;
1102  if (fVarMultiple) delete [] fVarMultiple;
1103 
1104  fNbins = new Int_t[fValSize];
1105  fVmin = new Double_t[fValSize];
1106  fVmax = new Double_t[fValSize];
1107  fVarMultiple = new Bool_t[fValSize];
1108 
1109  for (Int_t i = 0; i < oldsize; ++i)
1110  delete [] fVal[i];
1111  delete [] fVal;
1112  delete [] fVar;
1113  fVal = new Double_t*[fValSize];
1114  fVar = new TTreeFormula*[fValSize];
1115  for (Int_t i = 0; i < fValSize; ++i) {
1116  fVal[i] = 0;
1117  fVar[i] = 0;
1118  }
1119  }
1120 }
1121 
1122 ////////////////////////////////////////////////////////////////////////////////
1123 /// Build Index array for names in varexp.
1124 /// This will allocated a C style array of TString and Ints
1125 
1126 UInt_t TSelectorDraw::SplitNames(const TString &varexp, std::vector<TString> &names)
1127 {
1128  names.clear();
1129 
1130  Bool_t ternary = kFALSE;
1131  Int_t prev = 0;
1132  for (Int_t i = 0; i < varexp.Length(); i++) {
1133  if (varexp[i] == ':'
1134  && !((i > 0 && varexp[i-1] == ':') || varexp[i+1] == ':')
1135  ) {
1136  if (ternary) {
1137  ternary = kFALSE;
1138  } else {
1139  names.push_back(varexp(prev, i - prev));
1140  prev = i + 1;
1141  }
1142  }
1143  if (varexp[i] == '?') {
1144  ternary = kTRUE;
1145  }
1146  }
1147  names.push_back(varexp(prev, varexp.Length() - prev));
1148  return names.size();
1149 }
1150 
1151 
1152 ////////////////////////////////////////////////////////////////////////////////
1153 /// This function is called at the first entry of a new tree in a chain.
1154 
1156 {
1157  if (fTree) fWeight = fTree->GetWeight();
1158  if (fVar) {
1159  for (Int_t i = 0; i < fDimension; ++i) {
1160  if (fVar[i]) fVar[i]->UpdateFormulaLeaves();
1161  }
1162  }
1164  return kTRUE;
1165 }
1166 
1167 ////////////////////////////////////////////////////////////////////////////////
1168 /// Called in the entry loop for all entries accepted by Select.
1169 
1171 {
1172  if (fObjEval) {
1173  ProcessFillObject(entry);
1174  return;
1175  }
1176 
1177  if (fMultiplicity) {
1178  ProcessFillMultiple(entry);
1179  return;
1180  }
1181 
1182  // simple case with no multiplicity
1183  if (fForceRead && fManager->GetNdata() <= 0) return;
1184 
1185  if (fSelect) {
1187  if (!fW[fNfill]) return;
1188  } else fW[fNfill] = fWeight;
1189  if (fVal) {
1190  for (Int_t i = 0; i < fDimension; ++i) {
1191  if (fVar[i]) fVal[i][fNfill] = fVar[i]->EvalInstance(0);
1192  }
1193  }
1194  fNfill++;
1195  if (fNfill >= fTree->GetEstimate()) {
1196  TakeAction();
1197  fNfill = 0;
1198  }
1199 }
1200 
1201 ////////////////////////////////////////////////////////////////////////////////
1202 /// Called in the entry loop for all entries accepted by Select.
1203 /// Complex case with multiplicity.
1204 
1206 {
1207  // Grab the array size of the formulas for this entry
1209 
1210  // No data at all, let's move on to the next entry.
1211  if (!ndata) return;
1212 
1213  // If the entry list is a TEntryListArray, get the selected subentries for this entry
1214  TEntryList *subList = 0;
1215  if (fTreeElistArray) {
1216  subList = fTreeElistArray->GetSubListForEntry(entry, fTree->GetTree());
1217  }
1218 
1219  Int_t nfill0 = fNfill;
1220 
1221  // Calculate the first values
1222  if (fSelect) {
1223  // coverity[var_deref_model] fSelectMultiple==kTRUE => fSelect != 0
1225  if (!fW[fNfill] && !fSelectMultiple) return;
1226  } else fW[fNfill] = fWeight;
1227 
1228  // Always call EvalInstance(0) to insure the loading
1229  // of the branches.
1230  if (fW[fNfill] && (!subList || subList->Contains(0))) {
1231  if (fDimension == 0 && fSelectMultiple) fCurrentSubEntry = (Long64_t) 0; // to fill TEntryListArray
1232  for (Int_t i = 0; i < fDimension; ++i) {
1233  if (fVar[i]) fVal[i][fNfill] = fVar[i]->EvalInstance(0);
1234  }
1235  fNfill++;
1236  if (fNfill >= fTree->GetEstimate()) {
1237  TakeAction();
1238  fNfill = 0;
1239  }
1240  } else {
1241  for (Int_t i = 0; i < fDimension; ++i) {
1242  if (fVar[i]) fVar[i]->ResetLoading();
1243  }
1244  }
1245  Double_t ww = fW[nfill0];
1246 
1247  for (Int_t i = 1; i < ndata; i++) {
1248  if (subList && !subList->Contains(i)) continue;
1249  if (fSelectMultiple) {
1250  // coverity[var_deref_model] fSelectMultiple==kTRUE => fSelect != 0
1251  ww = fWeight * fSelect->EvalInstance(i);
1252  if (ww == 0) continue;
1253  if (fNfill == nfill0) {
1254  for (Int_t k = 0; k < fDimension; ++k) {
1255  if (!fVarMultiple[k]) fVal[k][fNfill] = fVar[k]->EvalInstance(0);
1256  }
1257  }
1258  if (fDimension == 0) fCurrentSubEntry = (Long64_t) i; // to fill TEntryListArray
1259  }
1260  for (Int_t k = 0; k < fDimension; ++k) {
1261  if (fVarMultiple[k]) fVal[k][fNfill] = fVar[k]->EvalInstance(i);
1262  else fVal[k][fNfill] = fVal[k][nfill0];
1263  }
1264  fW[fNfill] = ww;
1265 
1266  fNfill++;
1267  if (fNfill >= fTree->GetEstimate()) {
1268  TakeAction();
1269  fNfill = 0;
1270  }
1271  }
1272 }
1273 
1274 ////////////////////////////////////////////////////////////////////////////////
1275 /// Called in the entry loop for all entries accepted by Select.
1276 /// Case where the only variable returns an object (or pointer to).
1277 
1279 {
1280  // Complex case with multiplicity.
1281 
1282  // Grab the array size of the formulas for this entry
1284 
1285  // No data at all, let's move on to the next entry.
1286  if (!ndata) return;
1287 
1288  Int_t nfill0 = fNfill;
1289  Double_t ww = 0;
1290 
1291  for (Int_t i = 0; i < ndata; i++) {
1292  if (i == 0) {
1293  if (fSelect) {
1295  if (!fW[fNfill] && !fSelectMultiple) return;
1296  } else fW[fNfill] = fWeight;
1297  ww = fW[nfill0];
1298  } else if (fSelectMultiple) {
1299  ww = fWeight * fSelect->EvalInstance(i);
1300  if (ww == 0) continue;
1301  }
1302  if (fDimension >= 1 && fVar[0]) {
1303  TClass *cl = fVar[0]->EvalClass();
1304  if (cl == TBits::Class()) {
1305 
1306  void *obj = fVar[0]->EvalObject(i);
1307 
1308  if (obj) {
1309  TBits *bits = (TBits*)obj;
1310  Int_t nbits = bits->GetNbits();
1311 
1312  Int_t nextbit = -1;
1313  while (1) {
1314  nextbit = bits->FirstSetBit(nextbit + 1);
1315  if (nextbit >= nbits) break;
1316  fVal[0][fNfill] = nextbit;
1317  fW[fNfill] = ww;
1318  fNfill++;
1319  }
1320  }
1321 
1322  } else {
1323 
1324  if (!TestBit(kWarn)) {
1325  Warning("ProcessFillObject",
1326  "Not implemented for %s",
1327  cl ? cl->GetName() : "unknown class");
1328  SetBit(kWarn);
1329  }
1330 
1331  }
1332  }
1333  if (fNfill >= fTree->GetEstimate()) {
1334  TakeAction();
1335  fNfill = 0;
1336  }
1337  }
1338 
1339 }
1340 
1341 ////////////////////////////////////////////////////////////////////////////////
1342 /// Set number of entries to estimate variable limits.
1343 
1345 {
1346  if (fVal) {
1347  for (Int_t i = 0; i < fValSize; ++i) {
1348  delete [] fVal[i];
1349  fVal[i] = 0;
1350  }
1351  }
1352  delete [] fW; fW = 0;
1353 }
1354 
1355 ////////////////////////////////////////////////////////////////////////////////
1356 /// Execute action for object obj fNfill times.
1357 
1359 {
1360  Int_t i;
1361  //__________________________1-D histogram_______________________
1362  if (fAction == 1)((TH1*)fObject)->FillN(fNfill, fVal[0], fW);
1363  //__________________________2-D histogram_______________________
1364  else if (fAction == 2) {
1365  TH2 *h2 = (TH2*)fObject;
1366  for (i = 0; i < fNfill; i++) h2->Fill(fVal[1][i], fVal[0][i], fW[i]);
1367  }
1368  //__________________________Profile histogram_______________________
1369  else if (fAction == 4)((TProfile*)fObject)->FillN(fNfill, fVal[1], fVal[0], fW);
1370  //__________________________Event List______________________________
1371  else if (fAction == 5) {
1373  TEntryListArray *enlistarray = (TEntryListArray*)fObject;
1374  Long64_t enumb = fTree->GetTree()->GetReadEntry();
1375  enlistarray->Enter(enumb, 0, fCurrentSubEntry);
1376  } else if (fObject->InheritsFrom(TEntryList::Class())) {
1377  TEntryList *enlist = (TEntryList*)fObject;
1378  Long64_t enumb = fTree->GetTree()->GetReadEntry();
1379  enlist->Enter(enumb);
1380  } else {
1381  TEventList *evlist = (TEventList*)fObject;
1383  if (evlist->GetIndex(enumb) < 0) evlist->Enter(enumb);
1384  }
1385  }
1386  //__________________________2D scatter plot_______________________
1387  else if (fAction == 12) {
1388  TH2 *h2 = (TH2*)fObject;
1389  if (h2->CanExtendAllAxes() && h2->TestBit(kCanDelete)) {
1390  for (i = 0; i < fNfill; i++) {
1391  if (fVmin[0] > fVal[0][i]) fVmin[0] = fVal[0][i];
1392  if (fVmax[0] < fVal[0][i]) fVmax[0] = fVal[0][i];
1393  if (fVmin[1] > fVal[1][i]) fVmin[1] = fVal[1][i];
1394  if (fVmax[1] < fVal[1][i]) fVmax[1] = fVal[1][i];
1395  }
1397  }
1398  TGraph *pm = new TGraph(fNfill, fVal[1], fVal[0]);
1399  pm->SetEditable(kFALSE);
1400  pm->SetBit(kCanDelete);
1409 
1410  if (!fDraw && !strstr(fOption.Data(), "goff")) {
1411  if (fOption.Length() == 0 || strcasecmp(fOption.Data(), "same") == 0) pm->Draw("p");
1412  else pm->Draw(fOption.Data());
1413  }
1414  if (!h2->TestBit(kCanDelete)) {
1415  for (i = 0; i < fNfill; i++) h2->Fill(fVal[1][i], fVal[0][i], fW[i]);
1416  }
1417  }
1418  //__________________________3D scatter plot_______________________
1419  else if (fAction == 3) {
1420  TH3 *h3 = (TH3*)fObject;
1421  if (!h3->TestBit(kCanDelete)) {
1422  for (i = 0; i < fNfill; i++) h3->Fill(fVal[2][i], fVal[1][i], fVal[0][i], fW[i]);
1423  }
1424  } else if (fAction == 13) {
1425  TPolyMarker3D *pm3d = new TPolyMarker3D(fNfill);
1428  pm3d->SetMarkerSize(fTree->GetMarkerSize());
1429  for (i = 0; i < fNfill; i++) {
1430  pm3d->SetPoint(i, fVal[2][i], fVal[1][i], fVal[0][i]);
1431  }
1432  pm3d->Draw();
1433  TH3 *h3 = (TH3*)fObject;
1434  if (!h3->TestBit(kCanDelete)) {
1435  for (i = 0; i < fNfill; i++) h3->Fill(fVal[2][i], fVal[1][i], fVal[0][i], fW[i]);
1436  }
1437  }
1438  //__________________________3D scatter plot (3rd variable = col)__
1439  else if (fAction == 33) {
1440  TH2 *h2 = (TH2*)fObject;
1441  TakeEstimate();
1442  Int_t ncolors = gStyle->GetNumberOfColors();
1443  TObjArray *grs = (TObjArray*)h2->GetListOfFunctions()->FindObject("graphs");
1444  Int_t col;
1445  TGraph *gr;
1446  if (!grs) {
1447  grs = new TObjArray(ncolors);
1448  grs->SetOwner();
1449  grs->SetName("graphs");
1450  h2->GetListOfFunctions()->Add(grs, "P");
1451  for (col = 0; col < ncolors; col++) {
1452  gr = new TGraph();
1456  grs->AddAt(gr, col);
1457  }
1458  }
1459  h2->SetEntries(fNfill);
1460  h2->SetMinimum(fVmin[2]);
1461  h2->SetMaximum(fVmax[2]);
1462  // Fill the graphs according to the color
1463  for (i = 0; i < fNfill; i++) {
1464  col = Int_t(ncolors * ((fVal[2][i] - fVmin[2]) / (fVmax[2] - fVmin[2])));
1465  if (col < 0) col = 0;
1466  if (col > ncolors - 1) col = ncolors - 1;
1467  gr = (TGraph*)grs->UncheckedAt(col);
1468  if (gr) gr->SetPoint(gr->GetN(), fVal[1][i], fVal[0][i]);
1469  }
1470  // Remove potential empty graphs
1471  for (col = 0; col < ncolors; col++) {
1472  gr = (TGraph*)grs->At(col);
1473  if (gr && gr->GetN() <= 0) grs->Remove(gr);
1474  }
1475  }
1476  //__________________________2D Profile Histogram__________________
1477  else if (fAction == 23) {
1478  TProfile2D *hp2 = (TProfile2D*)fObject;
1479  for (i = 0; i < fNfill; i++) hp2->Fill(fVal[2][i], fVal[1][i], fVal[0][i], fW[i]);
1480  }
1481  //__________________________4D scatter plot_______________________
1482  else if (fAction == 40) {
1483  TakeEstimate();
1484  TH3 *h3 = (TH3*)fObject;
1485  Int_t ncolors = gStyle->GetNumberOfColors();
1486  if (ncolors == 0) {
1488  ncolors = gStyle->GetNumberOfColors();
1489  }
1490  TObjArray *pms = (TObjArray*)h3->GetListOfFunctions()->FindObject("polymarkers");
1491  Int_t col;
1492  TPolyMarker3D *pm3d;
1493  if (!pms) {
1494  pms = new TObjArray(ncolors);
1495  pms->SetOwner();
1496  pms->SetName("polymarkers");
1497  h3->GetListOfFunctions()->Add(pms);
1498  for (col = 0; col < ncolors; col++) {
1499  pm3d = new TPolyMarker3D();
1500  pm3d->SetMarkerColor(gStyle->GetColorPalette(col));
1502  pm3d->SetMarkerSize(fTree->GetMarkerSize());
1503  pms->AddAt(pm3d, col);
1504  }
1505  }
1506  h3->SetEntries(fNfill);
1507  h3->SetMinimum(fVmin[3]);
1508  h3->SetMaximum(fVmax[3]);
1509  for (i = 0; i < fNfill; i++) {
1510  col = Int_t(ncolors * ((fVal[3][i] - fVmin[3]) / (fVmax[3] - fVmin[3])));
1511  if (col > ncolors-1) col = ncolors-1;
1512  if (col < 0) col = 0;
1513  pm3d = (TPolyMarker3D*)pms->UncheckedAt(col);
1514  pm3d->SetPoint(pm3d->GetLastPoint() + 1, fVal[2][i], fVal[1][i], fVal[0][i]);
1515  }
1516  }
1517  //__________________________Parallel coordinates / candle chart_______________________
1518  else if (fAction == 6 || fAction == 7) {
1519  TakeEstimate();
1520  Bool_t candle = (fAction == 7);
1521  // Using CINT to avoid a dependency in TParallelCoord
1522  if (!fOption.Contains("goff"))
1523  gROOT->ProcessLine(TString::Format("TParallelCoord::BuildParallelCoord((TSelectorDraw*)0x%lx,0x%lx)",
1524  (ULong_t)this, (ULong_t)candle));
1525  } else if (fAction == 8) {
1526  //gROOT->ProcessLineFast(TString::Format("(new TGL5DDataSet((TTree *)0x%1x))->Draw(\"%s\");", fTree, fOption.Data()));
1527  }
1528  //__________________________something else_______________________
1529  else if (fAction < 0) {
1530  fAction = -fAction;
1531  TakeEstimate();
1532  }
1533 
1534  // Do we need to update screen?
1535  fSelectedRows += fNfill;
1536  if (!fTree->GetUpdate()) return;
1537  if (fSelectedRows > fDraw + fTree->GetUpdate()) {
1538  if (fDraw) gPad->Modified();
1539  else fObject->Draw(fOption.Data());
1540  gPad->Update();
1541  fDraw = fSelectedRows;
1542  }
1543 }
1544 
1545 ////////////////////////////////////////////////////////////////////////////////
1546 /// Estimate limits for 1-D, 2-D or 3-D objects.
1547 
1549 {
1550  Int_t i;
1551  Double_t rmin[3], rmax[3];
1552  Double_t vminOld[4], vmaxOld[4];
1553  for (i = 0; i < fValSize && i < 4; i++) {
1554  vminOld[i] = fVmin[i];
1555  vmaxOld[i] = fVmax[i];
1556  }
1557  for (i = 0; i < fValSize; ++i) {
1558  fVmin[i] = DBL_MAX;
1559  fVmax[i] = - DBL_MAX;
1560  }
1561  //__________________________1-D histogram_______________________
1562  if (fAction == 1) {
1563  TH1 *h1 = (TH1*)fObject;
1564  if (h1->CanExtendAllAxes()) {
1565  for (i = 0; i < fNfill; i++) {
1566  if (fVmin[0] > fVal[0][i]) fVmin[0] = fVal[0][i];
1567  if (fVmax[0] < fVal[0][i]) fVmax[0] = fVal[0][i];
1568  }
1570  }
1571  h1->FillN(fNfill, fVal[0], fW);
1572  //__________________________2-D histogram_______________________
1573  } else if (fAction == 2) {
1574  TH2 *h2 = (TH2*)fObject;
1575  if (h2->CanExtendAllAxes()) {
1576  for (i = 0; i < fNfill; i++) {
1577  if (fVmin[0] > fVal[0][i]) fVmin[0] = fVal[0][i];
1578  if (fVmax[0] < fVal[0][i]) fVmax[0] = fVal[0][i];
1579  if (fVmin[1] > fVal[1][i]) fVmin[1] = fVal[1][i];
1580  if (fVmax[1] < fVal[1][i]) fVmax[1] = fVal[1][i];
1581  }
1583  }
1584  for (i = 0; i < fNfill; i++) h2->Fill(fVal[1][i], fVal[0][i], fW[i]);
1585  //__________________________Profile histogram_______________________
1586  } else if (fAction == 4) {
1587  TProfile *hp = (TProfile*)fObject;
1588  if (hp->CanExtendAllAxes()) {
1589  for (i = 0; i < fNfill; i++) {
1590  if (fVmin[0] > fVal[0][i]) fVmin[0] = fVal[0][i];
1591  if (fVmax[0] < fVal[0][i]) fVmax[0] = fVal[0][i];
1592  if (fVmin[1] > fVal[1][i]) fVmin[1] = fVal[1][i];
1593  if (fVmax[1] < fVal[1][i]) fVmax[1] = fVal[1][i];
1594  }
1596  }
1597  hp->FillN(fNfill, fVal[1], fVal[0], fW);
1598  //__________________________2D scatter plot_______________________
1599  } else if (fAction == 12) {
1600  TH2 *h2 = (TH2*)fObject;
1601  if (h2->CanExtendAllAxes()) {
1602  for (i = 0; i < fNfill; i++) {
1603  if (fVmin[0] > fVal[0][i]) fVmin[0] = fVal[0][i];
1604  if (fVmax[0] < fVal[0][i]) fVmax[0] = fVal[0][i];
1605  if (fVmin[1] > fVal[1][i]) fVmin[1] = fVal[1][i];
1606  if (fVmax[1] < fVal[1][i]) fVmax[1] = fVal[1][i];
1607  }
1609  // In case the new lower limits of h2 axis are 0, it is better to set them to the minimum of
1610  // the data set (which should be >0) to avoid data cut when plotting in log scale.
1611  TAxis *aX = h2->GetXaxis();
1612  TAxis *aY = h2->GetYaxis();
1613  Double_t xmin = aX->GetXmin();
1614  Double_t ymin = aY->GetXmin();
1615  if (xmin == 0 || ymin == 0) {
1616  if (aX->GetBinUpEdge(aX->FindFixBin(0.01*aX->GetBinWidth(aX->GetFirst()))) > fVmin[1]) xmin = fVmin[1];
1617  if (aY->GetBinUpEdge(aY->FindFixBin(0.01*aY->GetBinWidth(aY->GetFirst()))) > fVmin[0]) ymin = fVmin[0];
1618  h2->SetBins(aX->GetNbins(), xmin, aX->GetXmax(), aY->GetNbins(), ymin, aY->GetXmax());
1619  }
1620  }
1621 
1622  if (!strstr(fOption.Data(), "same") && !strstr(fOption.Data(), "goff")) {
1623  if (!h2->TestBit(kCanDelete)) {
1624  // case like: T.Draw("y:x>>myhist")
1625  // we must draw a copy before filling the histogram h2=myhist
1626  // because h2 will be filled below and we do not want to show
1627  // the binned scatter-plot, the TGraph being better.
1628  TH1 *h2c = h2->DrawCopy(fOption.Data(),"");
1629  if (h2c) h2c->SetStats(kFALSE);
1630  } else {
1631  // case like: T.Draw("y:x")
1632  // h2 is a temporary histogram (htemp). This histogram
1633  // will be automatically deleted by TPad::Clear
1634  h2->Draw();
1635  }
1636  gPad->Update();
1637  }
1638  TGraph *pm = new TGraph(fNfill, fVal[1], fVal[0]);
1639  pm->SetEditable(kFALSE);
1640  pm->SetBit(kCanDelete);
1649  if (!fDraw && !strstr(fOption.Data(),"goff")) {
1650  if (fOption.Length() == 0 || strcasecmp(fOption.Data(),"same")==0) {
1651  pm->Draw("p");
1652  }
1653  else {
1654  TString opt = fOption;
1655  opt.ToLower();
1656  if (opt.Contains("a")) {
1657  TString temp(opt);
1658  temp.ReplaceAll("same","");
1659  if (temp.Contains("a")) {
1660  if (h2->TestBit(kCanDelete)) {
1661  // h2 will be deleted, the axis setting is delegated to only
1662  // the TGraph.
1663  h2 = 0;
1664  }
1665  }
1666  }
1667  pm->Draw(fOption.Data());
1668  }
1669  }
1670  if (h2 && !h2->TestBit(kCanDelete)) {
1671  for (i = 0; i < fNfill; i++) h2->Fill(fVal[1][i], fVal[0][i], fW[i]);
1672  }
1673  //__________________________3D scatter plot with option col_______________________
1674  } else if (fAction == 33) {
1675  TH2 *h2 = (TH2*)fObject;
1676  Bool_t process2 = kFALSE;
1677  if (h2->CanExtendAllAxes()) {
1678  if (vminOld[2] == DBL_MAX)
1679  process2 = kTRUE;
1680  for (i = 0; i < fValSize && i < 4; i++) {
1681  fVmin[i] = vminOld[i];
1682  fVmax[i] = vmaxOld[i];
1683  }
1684  for (i = 0; i < fNfill; i++) {
1685  if (fVmin[0] > fVal[0][i]) fVmin[0] = fVal[0][i];
1686  if (fVmax[0] < fVal[0][i]) fVmax[0] = fVal[0][i];
1687  if (fVmin[1] > fVal[1][i]) fVmin[1] = fVal[1][i];
1688  if (fVmax[1] < fVal[1][i]) fVmax[1] = fVal[1][i];
1689  if (process2) {
1690  if (fVmin[2] > fVal[2][i]) fVmin[2] = fVal[2][i];
1691  if (fVmax[2] < fVal[2][i]) fVmax[2] = fVal[2][i];
1692  }
1693  }
1695  // In case the new lower limits of h2 axis are 0, it is better to set them to the minimum of
1696  // the data set (which should be >0) to avoid data cut when plotting in log scale.
1697  TAxis *aX = h2->GetXaxis();
1698  TAxis *aY = h2->GetYaxis();
1699  Double_t xmin = aX->GetXmin();
1700  Double_t ymin = aY->GetXmin();
1701  if (xmin == 0 || ymin == 0) {
1702  if (aX->GetBinUpEdge(aX->FindFixBin(0.01*aX->GetBinWidth(aX->GetFirst()))) > fVmin[1]) xmin = fVmin[1];
1703  if (aY->GetBinUpEdge(aY->FindFixBin(0.01*aY->GetBinWidth(aY->GetFirst()))) > fVmin[0]) ymin = fVmin[0];
1704  h2->SetBins(aX->GetNbins(), xmin, aX->GetXmax(), aY->GetNbins(), ymin, aY->GetXmax());
1705  }
1706  } else {
1707  for (i = 0; i < fNfill; i++) {
1708  if (fVmin[2] > fVal[2][i]) fVmin[2] = fVal[2][i];
1709  if (fVmax[2] < fVal[2][i]) fVmax[2] = fVal[2][i];
1710  }
1711  }
1712  //__________________________3D scatter plot_______________________
1713  } else if (fAction == 3 || fAction == 13) {
1714  TH3 *h3 = (TH3*)fObject;
1715  if (h3->CanExtendAllAxes()) {
1716  for (i = 0; i < fNfill; i++) {
1717  if (fVmin[0] > fVal[0][i]) fVmin[0] = fVal[0][i];
1718  if (fVmax[0] < fVal[0][i]) fVmax[0] = fVal[0][i];
1719  if (fVmin[1] > fVal[1][i]) fVmin[1] = fVal[1][i];
1720  if (fVmax[1] < fVal[1][i]) fVmax[1] = fVal[1][i];
1721  if (fVmin[2] > fVal[2][i]) fVmin[2] = fVal[2][i];
1722  if (fVmax[2] < fVal[2][i]) fVmax[2] = fVal[2][i];
1723  }
1725  }
1726  if (fAction == 3) {
1727  for (i = 0; i < fNfill; i++) h3->Fill(fVal[2][i], fVal[1][i], fVal[0][i], fW[i]);
1728  return;
1729  }
1730  if (!strstr(fOption.Data(), "same") && !strstr(fOption.Data(), "goff")) {
1731  if (!h3->TestBit(kCanDelete)) {
1732  // case like: T.Draw("y:x>>myhist")
1733  // we must draw a copy before filling the histogram h3=myhist
1734  // because h3 will be filled below and we do not want to show
1735  // the binned scatter-plot, the TGraph being better.
1736  TH1 *h3c = h3->DrawCopy(fOption.Data(),"");
1737  if (h3c) h3c->SetStats(kFALSE);
1738  } else {
1739  // case like: T.Draw("y:x")
1740  // h3 is a temporary histogram (htemp). This histogram
1741  // will be automatically deleted by TPad::Clear
1742  h3->Draw(fOption.Data());
1743  }
1744  gPad->Update();
1745  } else {
1746  rmin[0] = fVmin[2]; rmin[1] = fVmin[1]; rmin[2] = fVmin[0];
1747  rmax[0] = fVmax[2]; rmax[1] = fVmax[1]; rmax[2] = fVmax[0];
1748  gPad->Clear();
1749  gPad->Range(-1, -1, 1, 1);
1750  TView::CreateView(1, rmin, rmax);
1751  }
1752  TPolyMarker3D *pm3d = new TPolyMarker3D(fNfill);
1755  pm3d->SetMarkerSize(fTree->GetMarkerSize());
1756  for (i = 0; i < fNfill; i++) {
1757  pm3d->SetPoint(i, fVal[2][i], fVal[1][i], fVal[0][i]);
1758  }
1759  if (!fDraw && !strstr(fOption.Data(), "goff")) pm3d->Draw();
1760  if (!h3->TestBit(kCanDelete)) {
1761  for (i = 0; i < fNfill; i++) h3->Fill(fVal[2][i], fVal[1][i], fVal[0][i], fW[i]);
1762  }
1763 
1764  //__________________________2D Profile Histogram__________________
1765  } else if (fAction == 23) {
1766  TProfile2D *hp = (TProfile2D*)fObject;
1767  if (hp->CanExtendAllAxes()) {
1768  for (i = 0; i < fNfill; i++) {
1769  if (fVmin[0] > fVal[0][i]) fVmin[0] = fVal[0][i];
1770  if (fVmax[0] < fVal[0][i]) fVmax[0] = fVal[0][i];
1771  if (fVmin[1] > fVal[1][i]) fVmin[1] = fVal[1][i];
1772  if (fVmax[1] < fVal[1][i]) fVmax[1] = fVal[1][i];
1773  if (fVmin[2] > fVal[2][i]) fVmin[2] = fVal[2][i];
1774  if (fVmax[2] < fVal[2][i]) fVmax[2] = fVal[2][i];
1775  }
1777  }
1778  for (i = 0; i < fNfill; i++) hp->Fill(fVal[2][i], fVal[1][i], fVal[0][i], fW[i]);
1779  //__________________________4D scatter plot_______________________
1780  } else if (fAction == 40) {
1781  TH3 *h3 = (TH3*)fObject;
1782  if (h3->CanExtendAllAxes()) {
1783  for (i = 0; i < fValSize && i < 4; i++) {
1784  fVmin[i] = vminOld[i];
1785  fVmax[i] = vmaxOld[i];
1786  }
1787  for (i = 0; i < fNfill; i++) {
1788  if (fVmin[0] > fVal[0][i]) fVmin[0] = fVal[0][i];
1789  if (fVmax[0] < fVal[0][i]) fVmax[0] = fVal[0][i];
1790  if (fVmin[1] > fVal[1][i]) fVmin[1] = fVal[1][i];
1791  if (fVmax[1] < fVal[1][i]) fVmax[1] = fVal[1][i];
1792  if (fVmin[2] > fVal[2][i]) fVmin[2] = fVal[2][i];
1793  if (fVmax[2] < fVal[2][i]) fVmax[2] = fVal[2][i];
1794  if (fVmin[3] > fVal[3][i]) fVmin[3] = fVal[3][i];
1795  if (fVmax[3] < fVal[3][i]) fVmax[3] = fVal[3][i];
1796  }
1798  } else {
1799  for (i = 0; i < fNfill; i++) {
1800  if (fVmin[3] > fVal[3][i]) fVmin[3] = fVal[3][i];
1801  if (fVmax[3] < fVal[3][i]) fVmax[3] = fVal[3][i];
1802  }
1803  }
1804  }
1805  //__________________________Parallel coordinates plot / candle chart_______________________
1806  else if (fAction == 6 || fAction == 7) {
1807  for (i = 0; i < fDimension; ++i) {
1808  for (Long64_t entry = 0; entry < fNfill; entry++) {
1809  if (fVmin[i] > fVal[i][entry]) fVmin[i] = fVal[i][entry];
1810  if (fVmax[i] < fVal[i][entry]) fVmax[i] = fVal[i][entry];
1811  }
1812  }
1813  }
1814 }
1815 
1816 ////////////////////////////////////////////////////////////////////////////////
1817 /// Called at the end of a loop on a TTree.
1818 
1820 {
1821  if (fNfill) TakeAction();
1822 
1823  if ((fSelectedRows == 0) && (TestBit(kCustomHistogram) == 0)) fDraw = 1; // do not draw
1824 
1826 }
const int ndata
virtual const char * GetOption() const
Definition: TSelector.h:59
Int_t GetFirst() const
Return first bin on the axis i.e.
Definition: TAxis.cxx:444
virtual void InitArrays(Int_t newsize)
Initialization of the primitive type arrays if the new size is bigger than the available space...
virtual void Enter(Long64_t entry)
Enter element entry into the list.
Definition: TEventList.cxx:191
virtual void SetTitleOffset(Float_t offset=1)
Set distance between the axis and the axis title Offset is a correction factor with respect to the &quot;s...
Definition: TAttAxis.cxx:262
virtual const char * GetTitle() const
Returns title of object.
Definition: TNamed.h:48
virtual Style_t GetLineStyle() const
Return the line style.
Definition: TAttLine.h:34
virtual Style_t GetFillStyle() const
Return the fill area style.
Definition: TAttFill.h:31
virtual void SetLineWidth(Width_t lwidth)
Set the line width.
Definition: TAttLine.h:43
TList * GetListOfFunctions() const
Definition: TH1.h:224
An array of TObjects.
Definition: TObjArray.h:37
virtual void Terminate()
Called at the end of a loop on a TTree.
float xmin
Definition: THbookFile.cxx:93
virtual Double_t * GetVal(Int_t i) const
Return the last values corresponding to the i-th component of the formula being processed (where the ...
long long Long64_t
Definition: RtypesCore.h:69
virtual void SetMaximum(Double_t maximum=-1111)
Definition: TH1.h:375
virtual Bool_t InheritsFrom(const char *classname) const
Returns kTRUE if object inherits from class &quot;classname&quot;.
Definition: TObject.cxx:436
UInt_t GetNbits() const
Definition: TBits.h:137
Ssiz_t Length() const
Definition: TString.h:385
A list of entries and subentries in a TTree or TChain.
virtual void SetDirectory(TDirectory *dir)
By default when an histogram is created, it is added to the list of histogram objects in the current ...
Definition: TH1.cxx:8053
tomato 3-D histogram with a float per channel (see TH1 documentation)}
Definition: TH3.h:267
virtual Double_t * GetRmax()=0
virtual Bool_t Sync()
Synchronize all the formulae.
TEventList * GetEventList() const
Definition: TTree.h:391
virtual void SetEstimate(Long64_t n)
Set number of entries to estimate variable limits.
Double_t ** fVal
Definition: TSelectorDraw.h:55
virtual Long64_t GetReadEntry() const
Definition: TTree.h:424
float ymin
Definition: THbookFile.cxx:93
TTreeFormulaManager * GetManager() const
Definition: TTreeFormula.h:179
TString & ReplaceAll(const TString &s1, const TString &s2)
Definition: TString.h:636
TTreeFormula ** fVar
Definition: TSelectorDraw.h:37
TEntryListArray * fTreeElistArray
Definition: TSelectorDraw.h:41
TTreeFormula * GetVar(Int_t i) const
Return the TTreeFormula corresponding to the i-th component of the request formula (where the compone...
R__EXTERN TStyle * gStyle
Definition: TStyle.h:402
virtual Int_t GetDimension() const
Definition: TH1.h:263
virtual void ProcessFill(Long64_t entry)
Called in the entry loop for all entries accepted by Select.
virtual void SetBins(Int_t nx, Double_t xmin, Double_t xmax)
Redefine x axis parameters.
Definition: TH1.cxx:7883
virtual TEntryList * GetEntryList()
Returns the entry list, set to this tree.
Definition: TTree.cxx:5528
Int_t fAction
Pointer to previously used histogram.
Definition: TSelectorDraw.h:43
virtual void SetOwner(Bool_t enable=kTRUE)
Set whether this collection is the owner (enable==true) of its content.
#define BIT(n)
Definition: Rtypes.h:75
THist< 1, float, THistStatContent, THistStatUncertainty > TH1F
Definition: THist.hxx:311
virtual Bool_t Enter(Long64_t entry, TTree *tree, Long64_t subentry)
Add entry #entry (, #subentry) to the list.
UInt_t FirstSetBit(UInt_t startBit=0) const
Return position of first non null bit (starting from position 0 and up)
Definition: TBits.cxx:348
Bool_t * fVarMultiple
[fSelectedRows]Local buffer for weights
Definition: TSelectorDraw.h:58
See TView3D.
Definition: TView.h:25
virtual void SetMinimum(Double_t minimum=-1111)
Definition: TH1.h:376
TTreeFormulaManager * fManager
Definition: TSelectorDraw.h:39
static THLimitsFinder * GetLimitsFinder()
Return pointer to the current finder.
#define gROOT
Definition: TROOT.h:375
virtual TObject * Remove(TObject *obj)
Remove object from array.
Definition: TObjArray.cxx:653
virtual void TakeAction()
Execute action for object obj fNfill times.
Basic string class.
Definition: TString.h:129
virtual TClass * EvalClass(Int_t oper) const
Evaluate the class of the operation oper.
virtual Int_t GetNdim() const
Definition: TFormula.h:237
void ToLower()
Change string to lower-case.
Definition: TString.cxx:1099
int Int_t
Definition: RtypesCore.h:41
bool Bool_t
Definition: RtypesCore.h:59
virtual Double_t GetBinWidth(Int_t bin) const
Return bin width.
Definition: TAxis.cxx:526
virtual void Draw(Option_t *option="")
Default Draw method for all objects.
Definition: TObject.cxx:202
virtual void SetFillStyle(Style_t fstyle)
Set the fill area style.
Definition: TAttFill.h:39
virtual TObject * FindObject(const char *name) const
Find an object in this list using its name.
Definition: TList.cxx:501
Int_t * fNbins
Definition: TSelectorDraw.h:51
virtual void * EvalObject(Int_t i=0)
Evaluate this treeformula.
Profile Histogram.
Definition: TProfile.h:32
virtual Long64_t GetEstimate() const
Definition: TTree.h:385
Long64_t fCurrentSubEntry
Definition: TSelectorDraw.h:62
virtual Int_t FindGoodLimits(TH1 *h, Double_t xmin, Double_t xmax)
compute the best axis limits for the X axis.
Int_t GetN() const
Definition: TGraph.h:122
TH1 * fOldHistogram
pointer to Tree Event list array
Definition: TSelectorDraw.h:42
virtual void Add(TTreeFormula *)
Add a new formula to the list of formulas managed The manager of the formula will be changed and the ...
virtual void Draw(Option_t *chopt="")
Draw this graph with its current attributes.
Definition: TGraph.cxx:745
Iterator of linked list.
Definition: TList.h:183
void SetBit(UInt_t f, Bool_t set)
Set or unset the user status bits as specified in f.
Definition: TObject.cxx:687
virtual void Reset(Option_t *option="")
Reset this histogram: contents, errors, etc.
Definition: TH1.cxx:6419
virtual Long64_t GetChainOffset() const
Definition: TTree.h:375
if object in a list can be deleted
Definition: TObject.h:58
Int_t fValSize
[fSelectedRows][fDimension] Local buffer for the variables
Definition: TSelectorDraw.h:56
virtual void SetValue(const char *name, const char *value, EEnvLevel level=kEnvChange, const char *type=0)
Set the value of a resource or create a new resource.
Definition: TEnv.cxx:727
virtual Int_t GetMultiplicity() const
virtual TEntryListArray * GetSubListForEntry(Long64_t entry, TTree *tree=0)
Return the list holding the subentries for the given entry or 0.
const char * Data() const
Definition: TString.h:344
Int_t Fill(const Double_t *v)
Definition: TProfile2D.h:50
Used to coordinate one or more TTreeFormula objects.
static TString Format(const char *fmt,...)
Static method which formats a string using a printf style format descriptor and return a TString...
Definition: TString.cxx:2345
void Class()
Definition: Class.C:29
virtual void SetMarkerColor(Color_t mcolor=1)
Set the marker color.
Definition: TAttMarker.h:38
Int_t GetNumberOfColors() const
Return number of colors in the color palette.
Definition: TStyle.cxx:801
std::vector< std::vector< double > > Data
TString fOption
Option given to TTree::Process.
Definition: TSelector.h:41
virtual void Error(const char *method, const char *msgfmt,...) const
Issue error message.
Definition: TObject.cxx:873
Double_t fWeight
[fDimension] Maxima of varexp columns
Definition: TSelectorDraw.h:54
virtual TH1 * DrawCopy(Option_t *option="", const char *name_postfix="_copy") const
Copy this histogram and Draw in the current pad.
Definition: TH1.cxx:2898
TH1F * h1
Definition: legend1.C:5
Double_t GetXmin() const
Definition: TAxis.h:133
TTreeFormula * fSelect
[fDimension] Array of pointers to variables formula
Definition: TSelectorDraw.h:38
The 3-D histogram classes derived from the 1-D histogram classes.
Definition: TH3.h:31
virtual Float_t GetTitleOffset() const
Definition: TAttAxis.h:42
Used to pass a selection expression to the Tree drawing routine.
Definition: TTreeFormula.h:58
A specialized string object used for TTree selections.
Definition: TCut.h:25
TObject * UncheckedAt(Int_t i) const
Definition: TObjArray.h:89
Int_t fMultiplicity
Total number of histogram fills.
Definition: TSelectorDraw.h:46
TObject * fObject
! Current object if processing object (vs. TTree)
Definition: TSelector.h:42
virtual void SetLineColor(Color_t lcolor)
Set the line color.
Definition: TAttLine.h:40
don&#39;t draw stats box
Definition: TH1.h:148
THist< 3, double, THistStatContent, THistStatUncertainty > TH3D
Definition: THist.hxx:322
virtual void Delete(Option_t *option="")
Delete this object.
Definition: TObject.cxx:176
virtual void Begin(TTree *tree)
Called every time a loop on the tree(s) starts.
virtual Size_t GetMarkerSize() const
Return the marker size.
Definition: TAttMarker.h:33
float ymax
Definition: THbookFile.cxx:93
virtual Bool_t Notify()
This function is called at the first entry of a new tree in a chain.
TObject * fTreeElist
Definition: TSelectorDraw.h:40
virtual void SetEstimate(Long64_t nentries=1000000)
Set number of entries to estimate variable limits.
Definition: TTree.cxx:8578
Service class for 2-Dim histogram classes.
Definition: TH2.h:30
Class to manage histogram axis.
Definition: TAxis.h:30
virtual void Draw(Option_t *option="")
Draw this histogram with options.
Definition: TH1.cxx:2851
virtual void SetFillColor(Color_t fcolor)
Set the fill area color.
Definition: TAttFill.h:37
Int_t GetNbins() const
Definition: TAxis.h:121
virtual void SetStatus(Long64_t status)
Definition: TSelector.h:69
virtual void Abort(const char *why, EAbort what=kAbortProcess)
Abort processing.
Definition: TSelector.cxx:116
virtual Double_t GetBinUpEdge(Int_t bin) const
Return up edge of bin.
Definition: TAxis.cxx:514
virtual ~TSelectorDraw()
Selector destructor.
tomato 2-D histogram with a float per channel (see TH1 documentation)}
Definition: TH2.h:249
virtual Int_t GetValue(const char *name, Int_t dflt)
Returns the integer value for a resource.
Definition: TEnv.cxx:482
virtual Color_t GetFillColor() const
Return the fill area color.
Definition: TAttFill.h:30
virtual Bool_t CompileVariables(const char *varexp="", const char *selection="")
Compile input variables and selection expression.
void Form(const char *fmt,...)
Formats a string using a printf style format descriptor.
Definition: TString.cxx:2332
unsigned int UInt_t
Definition: RtypesCore.h:42
Bool_t TestBit(UInt_t f) const
Definition: TObject.h:159
Double_t * fVmin
[fDimension] Number of bins per dimension
Definition: TSelectorDraw.h:52
virtual void UpdateFormulaLeaves()
This function is called TTreePlayer::UpdateFormulaLeaves, itself called by TChain::LoadTree when a ne...
A TEventList object is a list of selected events (entries) in a TTree.
Definition: TEventList.h:31
TLine * l
Definition: textangle.C:4
virtual const char * GetName() const
Returns name of object.
Definition: TNamed.h:47
The ROOT global object gROOT contains a list of all defined classes.
Definition: TClass.h:71
virtual void SetMarkerStyle(Style_t mstyle=1)
Set the marker style.
Definition: TAttMarker.h:40
TAxis * GetYaxis()
Definition: TH1.h:301
Int_t Fill(Double_t)
Invalid Fill method.
Definition: TH3.cxx:280
float xmax
Definition: THbookFile.cxx:93
void SetName(const char *name)
Definition: TCollection.h:111
virtual Color_t GetLineColor() const
Return the line color.
Definition: TAttLine.h:33
virtual Int_t Contains(Long64_t entry, TTree *tree=0)
Definition: TEntryList.cxx:521
virtual void Draw(Option_t *option="")
Draws 3-D polymarker with its current attributes.
virtual void AddAt(TObject *obj, Int_t idx)
Add object at position ids.
Definition: TObjArray.cxx:239
virtual void SetMarkerSize(Size_t msize=1)
Set the marker size.
Definition: TAttMarker.h:41
virtual Double_t * GetRmin()=0
TGraphErrors * gr
Definition: legend1.C:25
Long64_t fDraw
Action type.
Definition: TSelectorDraw.h:44
Int_t GetColorPalette(Int_t i) const
Return color number i in current palette.
Definition: TStyle.cxx:735
A specialized TSelector for TTree::Draw.
Definition: TSelectorDraw.h:31
const Int_t kCustomHistogram
const Bool_t kFALSE
Definition: RtypesCore.h:92
Long64_t fSelectedRows
Definition: TSelectorDraw.h:48
void SetPoint(Int_t n, Double_t x, Double_t y, Double_t z)
Set point n to x, y, z.
Bool_t fCleanElist
Definition: TSelectorDraw.h:60
#define ClassImp(name)
Definition: Rtypes.h:336
virtual void ResetAbort()
Definition: TSelector.h:76
virtual void SetEntryList(TEntryList *list, Option_t *opt="")
Set an EntryList.
Definition: TTree.cxx:8514
virtual const char * GetName() const
Returns name of object.
Definition: TObject.cxx:364
double Double_t
Definition: RtypesCore.h:55
Bool_t fSelectMultiple
[fDimension] true if fVar[i] has a variable index
Definition: TSelectorDraw.h:59
virtual Int_t GetUpdate() const
Definition: TTree.h:435
Double_t * fVmax
[fDimension] Minima of varexp columns
Definition: TSelectorDraw.h:53
R__EXTERN TEnv * gEnv
Definition: TEnv.h:170
virtual void ProcessFillMultiple(Long64_t entry)
Called in the entry loop for all entries accepted by Select.
unsigned long ULong_t
Definition: RtypesCore.h:51
Double_t GetXmax() const
Definition: TAxis.h:134
virtual void ProcessFillObject(Long64_t entry)
Called in the entry loop for all entries accepted by Select.
The TH1 histogram class.
Definition: TH1.h:56
virtual TTree * GetTree() const
Definition: TTree.h:432
THist< 2, double, THistStatContent, THistStatUncertainty > TH2D
Definition: THist.hxx:316
Double_t * fW
Definition: TSelectorDraw.h:57
T EvalInstance(Int_t i=0, const char *stringStack[]=0)
Evaluate this treeformula.
virtual Bool_t Enter(Long64_t entry, TTree *tree=0)
Add entry #entry to the list.
Definition: TEntryList.cxx:562
Profile2D histograms are used to display the mean value of Z and its RMS for each cell in X...
Definition: TProfile2D.h:27
virtual void SetLineStyle(Style_t lstyle)
Set the line style.
Definition: TAttLine.h:42
static TView * CreateView(Int_t system=1, const Double_t *rmin=0, const Double_t *rmax=0)
Create a concrete default 3-d view via the plug-in manager.
Definition: TView.cxx:39
THist< 3, float, THistStatContent, THistStatUncertainty > TH3F
Definition: THist.hxx:323
TAxis * GetZaxis()
Definition: TH1.h:302
virtual UInt_t SetCanExtend(UInt_t extendBitMask)
Make the histogram axes extendable / not extendable according to the bit mask returns the previous bi...
Definition: TH1.cxx:5974
virtual Int_t GetIndex(Long64_t entry) const
Return index in the list of element with value entry array is supposed to be sorted prior to this cal...
Definition: TEventList.cxx:235
Mother of all ROOT objects.
Definition: TObject.h:37
Container of bits.
Definition: TBits.h:29
Long64_t fOldEstimate
Definition: TSelectorDraw.h:49
virtual void TakeEstimate()
Estimate limits for 1-D, 2-D or 3-D objects.
virtual Color_t GetMarkerColor() const
Return the marker color.
Definition: TAttMarker.h:31
virtual void SetPoint(Int_t i, Double_t x, Double_t y)
Set x and y values for point number i.
Definition: TGraph.cxx:2156
A 3D polymarker.
Definition: TPolyMarker3D.h:32
TList * fInput
List of objects available during processing.
Definition: TSelector.h:43
virtual Int_t FindFixBin(Double_t x) const
Find bin number corresponding to abscissa x.
Definition: TAxis.cxx:405
void FillN(Int_t, const Double_t *, const Double_t *, Int_t)
Fill this histogram with an array x and weights w.
Definition: TProfile.h:62
virtual void Add(TObject *obj)
Definition: TList.h:77
virtual void Reset()
Reset this list.
virtual void FillN(Int_t ntimes, const Double_t *x, const Double_t *w, Int_t stride=1)
Fill this histogram with an array x and weights w.
Definition: TH1.cxx:3229
Bool_t Contains(const char *pat, ECaseCompare cmp=kExact) const
Definition: TString.h:568
virtual void Sumw2(Bool_t flag=kTRUE)
Create structure to store sum of squares of weights.
Definition: TH1.cxx:8132
A Graph is a graphics object made of two arrays X and Y with npoints each.
Definition: TGraph.h:41
virtual Bool_t GetReapplyCut() const
Definition: TEntryList.h:79
Int_t fNfill
Last entry loop number when object was drawn.
Definition: TSelectorDraw.h:45
virtual Bool_t CanExtendAllAxes() const
Returns true if all axes are extendable.
Definition: TH1.cxx:5961
THist< 1, double, THistStatContent, THistStatUncertainty > TH1D
Definition: THist.hxx:310
#define gPad
Definition: TVirtualPad.h:284
virtual void ClearFormula()
Delete internal buffers.
R__EXTERN Int_t gDebug
Definition: Rtypes.h:83
virtual UInt_t SplitNames(const TString &varexp, std::vector< TString > &names)
Build Index array for names in varexp.
virtual void SetEntries(Double_t n)
Definition: TH1.h:363
A TTree object has a header with a name and a title.
Definition: TTree.h:78
#define gDirectory
Definition: TDirectory.h:211
static void InitializeColors()
Initialize colors used by the TCanvas based graphics (via TColor objects).
Definition: TColor.cxx:1049
void SetQuickLoad(Bool_t quick)
Definition: TTreeFormula.h:197
void ResetBit(UInt_t f)
Definition: TObject.h:158
virtual Double_t GetWeight() const
Definition: TTree.h:458
virtual Int_t GetNdata(Bool_t forceLoadDim=kFALSE)
Return number of available instances in the formulas.
TObject * At(Int_t idx) const
Definition: TObjArray.h:165
virtual Style_t GetMarkerStyle() const
Return the marker style.
Definition: TAttMarker.h:32
Int_t Fill(Double_t)
Invalid Fill method.
Definition: TH2.cxx:292
virtual Width_t GetLineWidth() const
Return the line width.
Definition: TAttLine.h:35
virtual Int_t GetMultiplicity() const
Definition: TTreeFormula.h:181
virtual const char * GetTitle() const
Returns title of object.
Definition: TObject.cxx:408
virtual void SetTitle(const char *title="")
Set the title of the TNamed.
Definition: TNamed.cxx:155
THist< 2, float, THistStatContent, THistStatUncertainty > TH2F
Definition: THist.hxx:317
virtual void SetEditable(Bool_t editable=kTRUE)
if editable=kFALSE, the graph cannot be modified with the mouse by default a TGraph is editable ...
Definition: TGraph.cxx:2129
A List of entry numbers in a TTree or TChain.
Definition: TEntryList.h:25
const Bool_t kTRUE
Definition: RtypesCore.h:91
Int_t GetMultiplicity() const
Definition: TSelectorDraw.h:83
virtual void SetStats(Bool_t stats=kTRUE)
Set statistics option on/off.
Definition: TH1.cxx:8103
virtual void ResetLoading()
Tell the formula that we are going to request a new entry.
TAxis * GetXaxis()
Definition: TH1.h:300
virtual Int_t GetLastPoint() const
Definition: TPolyMarker3D.h:56
virtual void Reset(Option_t *option="")
Reset number of entries in event list.
Definition: TEventList.cxx:328
virtual void SetAxis(TAxis *axis=0)
Set the axis (in particular get the type).
virtual void Warning(const char *method, const char *msgfmt,...) const
Issue warning message.
Definition: TObject.cxx:859