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Reference Guide
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  }
381  if (fOldHistogram && !hnameplus) fOldHistogram->Reset(); // reset unless adding is wanted
382 
383  if (mustdelete) {
384  if (gDebug) {
385  Warning("Begin", "Deleting old histogram, since (possibly new) limits and binnings have been given");
386  }
387  delete fOldHistogram; fOldHistogram=0;
388  }
389 
390  } else {
391  // make selection list (i.e. varexp0 starts with ">>")
392  TObject *oldObject = gDirectory->Get(hname);
393  if (optEnlist) {
394  //write into a TEntryList
395  enlist = oldObject ? dynamic_cast<TEntryList*>(oldObject) : 0;
396 
397  if (!enlist && oldObject) {
398  abrt.Form("An object of type '%s' has the same name as the requested event list (%s)",
399  oldObject->IsA()->GetName(), hname);
400  Abort(abrt);
401  return;
402  }
403  if (!enlist) {
404  if (optEnlistArray) {
405  enlist = new TEntryListArray(hname, realSelection.GetTitle());
406  } else {
407  enlist = new TEntryList(hname, realSelection.GetTitle());
408  }
409  }
410  if (enlist) {
411  if (!hnameplus) {
412  if (enlist == inElist) {
413  // We have been asked to reset the input list!!
414  // Let's set it aside for now ...
415  if (optEnlistArray) {
416  inElist = new TEntryListArray(*enlist);
417  } else {
418  inElist = new TEntryList(*enlist);
419  }
420  fCleanElist = kTRUE;
421  fTree->SetEntryList(inElist);
422  }
423  enlist->Reset();
424  enlist->SetTitle(realSelection.GetTitle());
425  } else {
426  TCut old = enlist->GetTitle();
427  TCut upd = old || realSelection.GetTitle();
428  enlist->SetTitle(upd.GetTitle());
429  }
430  }
431  } else {
432  //write into a TEventList
433  evlist = oldObject ? dynamic_cast<TEventList*>(oldObject) : 0;
434 
435  if (!evlist && oldObject) {
436  abrt.Form("An object of type '%s' has the same name as the requested event list (%s)",
437  oldObject->IsA()->GetName(), hname);
438  Abort(abrt);
439  return;
440  }
441  if (!evlist) {
442  evlist = new TEventList(hname, realSelection.GetTitle(), 1000, 0);
443  }
444  if (evlist) {
445  if (!hnameplus) {
446  if (evlist == fTree->GetEventList()) {
447  // We have been asked to reset the input list!!
448  // Let's set it aside for now ...
449  Abort("Input and output lists are the same!");
450  delete [] varexp;
451  return;
452  }
453  evlist->Reset();
454  evlist->SetTitle(realSelection.GetTitle());
455  } else {
456  TCut old = evlist->GetTitle();
457  TCut upd = old || realSelection.GetTitle();
458  evlist->SetTitle(upd.GetTitle());
459  }
460  }
461  }
462 
463  } // if (i)
464  } else { // if (hname)
465  hname = hdefault;
466  hkeep = 0;
467  const size_t varexpLen = strlen(varexp0) + 1;
468  varexp = new char[varexpLen];
469  strlcpy(varexp, varexp0, varexpLen);
470  if (gDirectory) {
471  fOldHistogram = (TH1*)gDirectory->Get(hname);
473  }
474  }
475 
476  // Decode varexp and selection
477  if (!CompileVariables(varexp, realSelection.GetTitle())) {
478  abrt.Form("Variable compilation failed: {%s,%s}", varexp, realSelection.GetTitle());
479  Abort(abrt);
480  delete [] varexp;
481  return;
482  }
483  if (fDimension > 4 && !(optpara || optcandle || opt5d || opt.Contains("goff"))) {
484  Abort("Too many variables. Use the option \"para\", \"gl5d\" or \"candle\" to display more than 4 variables.");
485  delete [] varexp;
486  return;
487  }
488  if (fDimension < 2 && (optpara || optcandle)) {
489  Abort("The options \"para\" and \"candle\" require at least 2 variables.");
490  delete [] varexp;
491  return;
492  }
493 
494  // In case fOldHistogram exists, check dimensionality
495  Int_t nsel = strlen(selection);
496  if (nsel > 1) {
497  htitle.Form("%s {%s}", varexp, selection);
498  } else {
499  htitle = varexp;
500  }
501  if (fOldHistogram) {
502  Int_t olddim = fOldHistogram->GetDimension();
503  Int_t mustdelete = 0;
505  profile = kTRUE;
506  olddim = 2;
507  }
509  profile = kTRUE;
510  olddim = 3;
511  }
512  if (opt.Contains("prof") && fDimension > 1) {
513  // ignore "prof" for 1D.
514  if (!profile || olddim != fDimension) mustdelete = 1;
515  } else if (opt.Contains("col") && fDimension>2) {
516  if (olddim+1 != fDimension) mustdelete = 1;
517  } else {
518  if (olddim != fDimension) mustdelete = 1;
519  }
520  if (mustdelete) {
521  Warning("Begin", "Deleting old histogram with different dimensions");
522  delete fOldHistogram;
523  fOldHistogram = 0;
524  }
525  }
526 
527  // Create a default canvas if none exists
528  fDraw = 0;
529  if (!gPad && !opt.Contains("goff") && fDimension > 0) {
530  gROOT->MakeDefCanvas();
531  if (!gPad) {
532  Abort("Creation of default canvas failed");
533  return;
534  }
535  }
536 
537  // 1-D distribution
538  TH1 *hist;
539  if (fDimension == 1) {
540  fAction = 1;
541  if (!fOldHistogram) {
542  fNbins[0] = gEnv->GetValue("Hist.Binning.1D.x", 100);
543  if (gPad && optSame) {
544  TListIter np(gPad->GetListOfPrimitives());
545  TObject *op;
546  TH1 *oldhtemp = 0;
547  while ((op = np()) && !oldhtemp) {
548  if (op->InheritsFrom(TH1::Class())) oldhtemp = (TH1 *)op;
549  }
550  if (oldhtemp) {
551  fNbins[0] = oldhtemp->GetXaxis()->GetNbins();
552  fVmin[0] = oldhtemp->GetXaxis()->GetXmin();
553  fVmax[0] = oldhtemp->GetXaxis()->GetXmax();
554  } else {
555  fVmin[0] = gPad->GetUxmin();
556  fVmax[0] = gPad->GetUxmax();
557  }
558  } else {
559  fAction = -1;
560  fVmin[0] = xmin;
561  fVmax[0] = xmax;
562  if (xmin < xmax) canExtend = kFALSE;
563  }
564  }
565  if (fOldHistogram) {
566  hist = fOldHistogram;
567  fNbins[0] = hist->GetXaxis()->GetNbins();
568  } else {
569  hist = new TH1F(hname, htitle.Data(), fNbins[0], fVmin[0], fVmax[0]);
570  hist->SetLineColor(fTree->GetLineColor());
571  hist->SetLineWidth(fTree->GetLineWidth());
572  hist->SetLineStyle(fTree->GetLineStyle());
573  hist->SetFillColor(fTree->GetFillColor());
574  hist->SetFillStyle(fTree->GetFillStyle());
578  if (canExtend) hist->SetCanExtend(TH1::kAllAxes);
579  if (!hkeep) {
580  hist->GetXaxis()->SetTitle(fVar[0]->GetTitle());
581  hist->SetBit(kCanDelete);
582  if (!opt.Contains("goff")) hist->SetDirectory(0);
583  }
584  if (opt.Length() && opt.Contains("e")) hist->Sumw2();
585  }
586  fVar[0]->SetAxis(hist->GetXaxis());
587  fObject = hist;
588 
589  // 2-D distribution
590  } else if (fDimension == 2 && !(optpara || optcandle)) {
591  fAction = 2;
592  if (!fOldHistogram || !optSame) {
593  fNbins[0] = gEnv->GetValue("Hist.Binning.2D.y", 40);
594  fNbins[1] = gEnv->GetValue("Hist.Binning.2D.x", 40);
595  if (opt.Contains("prof")) fNbins[1] = gEnv->GetValue("Hist.Binning.2D.Prof", 100);
596  if (optSame) {
597  TH1 *oldhtemp = (TH1*)gPad->FindObject(hdefault);
598  if (oldhtemp) {
599  fNbins[1] = oldhtemp->GetXaxis()->GetNbins();
600  fVmin[1] = oldhtemp->GetXaxis()->GetXmin();
601  fVmax[1] = oldhtemp->GetXaxis()->GetXmax();
602  fNbins[0] = oldhtemp->GetYaxis()->GetNbins();
603  fVmin[0] = oldhtemp->GetYaxis()->GetXmin();
604  fVmax[0] = oldhtemp->GetYaxis()->GetXmax();
605  } else {
606  fNbins[1] = gEnv->GetValue("Hist.Binning.2D.x", 40);
607  fVmin[1] = gPad->GetUxmin();
608  fVmax[1] = gPad->GetUxmax();
609  fNbins[0] = gEnv->GetValue("Hist.Binning.2D.y", 40);
610  fVmin[0] = gPad->GetUymin();
611  fVmax[0] = gPad->GetUymax();
612  }
613  } else {
614  if (!fOldHistogram) fAction = -2;
615  fVmin[1] = xmin;
616  fVmax[1] = xmax;
617  fVmin[0] = ymin;
618  fVmax[0] = ymax;
619  if (xmin < xmax && ymin < ymax) canExtend = kFALSE;
620  }
621  }
622  if (profile || opt.Contains("prof")) {
623  TProfile *hp;
624  if (fOldHistogram) {
625  fAction = 4;
626  hp = (TProfile*)fOldHistogram;
627  } else {
628  if (fAction < 0) {
629  fAction = -4;
630  fVmin[1] = xmin;
631  fVmax[1] = xmax;
632  if (xmin < xmax) canExtend = kFALSE;
633  }
634  if (fAction == 2) {
635  //we come here when option = "same prof"
636  fAction = -4;
637  TH1 *oldhtemp = (TH1*)gPad->FindObject(hdefault);
638  if (oldhtemp) {
639  fNbins[1] = oldhtemp->GetXaxis()->GetNbins();
640  fVmin[1] = oldhtemp->GetXaxis()->GetXmin();
641  fVmax[1] = oldhtemp->GetXaxis()->GetXmax();
642  }
643  }
644  if (opt.Contains("profs")) {
645  hp = new TProfile(hname, htitle.Data(), fNbins[1], fVmin[1], fVmax[1], "s");
646  } else if (opt.Contains("profi")) {
647  hp = new TProfile(hname, htitle.Data(), fNbins[1], fVmin[1], fVmax[1], "i");
648  } else if (opt.Contains("profg")) {
649  hp = new TProfile(hname, htitle.Data(), fNbins[1], fVmin[1], fVmax[1], "g");
650  } else {
651  hp = new TProfile(hname, htitle.Data(), fNbins[1], fVmin[1], fVmax[1], "");
652  }
653  if (!hkeep) {
654  hp->SetBit(kCanDelete);
655  if (!opt.Contains("goff")) hp->SetDirectory(0);
656  }
665  if (canExtend) hp->SetCanExtend(TH1::kAllAxes);
666  }
667  fVar[1]->SetAxis(hp->GetXaxis());
668  fObject = hp;
669 
670  } else {
671  TH2F *h2;
672  if (fOldHistogram) {
673  h2 = (TH2F*)fOldHistogram;
674  } else {
675  h2 = new TH2F(hname, htitle.Data(), fNbins[1], fVmin[1], fVmax[1], fNbins[0], fVmin[0], fVmax[0]);
684  if (canExtend) h2->SetCanExtend(TH1::kAllAxes);
685  if (!hkeep) {
686  h2->GetXaxis()->SetTitle(fVar[1]->GetTitle());
687  h2->GetYaxis()->SetTitle(fVar[0]->GetTitle());
688  h2->SetBit(TH1::kNoStats);
689  h2->SetBit(kCanDelete);
690  if (!opt.Contains("goff")) h2->SetDirectory(0);
691  }
692  }
693  fVar[0]->SetAxis(h2->GetYaxis());
694  fVar[1]->SetAxis(h2->GetXaxis());
695  Bool_t graph = kFALSE;
696  Int_t l = opt.Length();
697  if (l == 0 || optSame) graph = kTRUE;
698  if (opt.Contains("p") || opt.Contains("*") || opt.Contains("l")) graph = kTRUE;
699  if (opt.Contains("surf") || opt.Contains("lego") || opt.Contains("cont")) graph = kFALSE;
700  if (opt.Contains("col") || opt.Contains("hist") || opt.Contains("scat")) graph = kFALSE;
701  if (opt.Contains("box")) graph = kFALSE;
702  fObject = h2;
703  if (graph) {
704  fAction = 12;
705  if (!fOldHistogram && !optSame) fAction = -12;
706  }
707  }
708 
709  // 3-D distribution
710  } else if ((fDimension == 3 || fDimension == 4) && !(optpara || optcandle)) {
711  fAction = 3;
712  if (fDimension == 4) fAction = 40;
713  if (!fOldHistogram || !optSame) {
714  fNbins[0] = gEnv->GetValue("Hist.Binning.3D.z", 20);
715  fNbins[1] = gEnv->GetValue("Hist.Binning.3D.y", 20);
716  fNbins[2] = gEnv->GetValue("Hist.Binning.3D.x", 20);
717  if (fDimension == 3 && opt.Contains("prof")) {
718  fNbins[1] = gEnv->GetValue("Hist.Binning.3D.Profy", 20);
719  fNbins[2] = gEnv->GetValue("Hist.Binning.3D.Profx", 20);
720  } else if (fDimension == 3 && opt.Contains("col")) {
721  fNbins[0] = gEnv->GetValue("Hist.Binning.2D.y", 40);
722  fNbins[1] = gEnv->GetValue("Hist.Binning.2D.x", 40);
723  }
724  if (optSame) {
725  TH1 *oldhtemp = (TH1*)gPad->FindObject(hdefault);
726  if (oldhtemp) {
727  fNbins[2] = oldhtemp->GetXaxis()->GetNbins();
728  fVmin[2] = oldhtemp->GetXaxis()->GetXmin();
729  fVmax[2] = oldhtemp->GetXaxis()->GetXmax();
730  fNbins[1] = oldhtemp->GetYaxis()->GetNbins();
731  fVmin[1] = oldhtemp->GetYaxis()->GetXmin();
732  fVmax[1] = oldhtemp->GetYaxis()->GetXmax();
733  fNbins[0] = oldhtemp->GetZaxis()->GetNbins();
734  fVmin[0] = oldhtemp->GetZaxis()->GetXmin();
735  fVmax[0] = oldhtemp->GetZaxis()->GetXmax();
736  } else {
737  TView *view = gPad->GetView();
738  if (!view) {
739  Error("Begin", "You cannot use option same when no 3D view exists");
740  fVmin[0] = fVmin[1] = fVmin[2] = -1;
741  fVmax[0] = fVmax[1] = fVmax[2] = 1;
742  view = TView::CreateView(1, fVmin, fVmax);
743  }
744  Double_t *rmin = view->GetRmin();
745  Double_t *rmax = view->GetRmax();
746  fNbins[2] = gEnv->GetValue("Hist.Binning.3D.z", 20);
747  fVmin[2] = rmin[0];
748  fVmax[2] = rmax[0];
749  fNbins[1] = gEnv->GetValue("Hist.Binning.3D.y", 20);
750  fVmin[1] = rmin[1];
751  fVmax[1] = rmax[1];
752  fNbins[0] = gEnv->GetValue("Hist.Binning.3D.x", 20);
753  fVmin[0] = rmin[2];
754  fVmax[0] = rmax[2];
755  }
756  } else {
757  if (!fOldHistogram && fDimension == 3) fAction = -3;
758  fVmin[2] = xmin;
759  fVmax[2] = xmax;
760  fVmin[1] = ymin;
761  fVmax[1] = ymax;
762  fVmin[0] = zmin;
763  fVmax[0] = zmax;
764  if (xmin < xmax && ymin < ymax && zmin < zmax) canExtend = kFALSE;
765  }
766  }
767  if ((fDimension == 3) && (profile || opt.Contains("prof"))) {
768  TProfile2D *hp;
769  if (fOldHistogram) {
770  fAction = 23;
771  hp = (TProfile2D*)fOldHistogram;
772  } else {
773  if (fAction < 0) {
774  fAction = -23;
775  fVmin[2] = xmin;
776  fVmax[2] = xmax;
777  fVmin[1] = ymin;
778  fVmax[1] = ymax;
779  if (xmin < xmax && ymin < ymax) canExtend = kFALSE;
780  }
781  if (opt.Contains("profs")) {
782  hp = new TProfile2D(hname, htitle.Data(), fNbins[2], fVmin[2], fVmax[2], fNbins[1], fVmin[1], fVmax[1], "s");
783  } else if (opt.Contains("profi")) {
784  hp = new TProfile2D(hname, htitle.Data(), fNbins[2], fVmin[2], fVmax[2], fNbins[1], fVmin[1], fVmax[1], "i");
785  } else if (opt.Contains("profg")) {
786  hp = new TProfile2D(hname, htitle.Data(), fNbins[2], fVmin[2], fVmax[2], fNbins[1], fVmin[1], fVmax[1], "g");
787  } else {
788  hp = new TProfile2D(hname, htitle.Data(), fNbins[2], fVmin[2], fVmax[2], fNbins[1], fVmin[1], fVmax[1], "");
789  }
790  if (!hkeep) {
791  hp->SetBit(kCanDelete);
792  if (!opt.Contains("goff")) hp->SetDirectory(0);
793  }
802  if (canExtend) hp->SetCanExtend(TH1::kAllAxes);
803  }
804  fVar[1]->SetAxis(hp->GetYaxis());
805  fVar[2]->SetAxis(hp->GetXaxis());
806  fObject = hp;
807  } else if (fDimension == 3 && opt.Contains("col")) {
808  TH2F *h2;
809  if (fOldHistogram) {
810  h2 = (TH2F*)fOldHistogram;
811  } else {
812  h2 = new TH2F(hname, htitle.Data(), fNbins[1], fVmin[1], fVmax[1], fNbins[0], fVmin[0], fVmax[0]);
821  if (canExtend) h2->SetCanExtend(TH1::kAllAxes);
822  if (!hkeep) {
823  h2->GetXaxis()->SetTitle(fVar[1]->GetTitle());
824  h2->GetYaxis()->SetTitle(fVar[0]->GetTitle());
825  h2->GetZaxis()->SetTitle(fVar[2]->GetTitle());
826  h2->SetBit(TH1::kNoStats);
827  h2->SetBit(kCanDelete);
828  if (!opt.Contains("goff")) h2->SetDirectory(0);
829  }
830  }
831  fVar[0]->SetAxis(h2->GetYaxis());
832  fVar[1]->SetAxis(h2->GetXaxis());
833  fObject = h2;
834  fAction = 33;
835  } else {
836  TH3F *h3;
837  if (fOldHistogram) {
838  h3 = (TH3F*)fOldHistogram;
839  } else {
840  h3 = new TH3F(hname, htitle.Data(), fNbins[2], fVmin[2], fVmax[2], fNbins[1], fVmin[1], fVmax[1], fNbins[0], fVmin[0], fVmax[0]);
849  if (canExtend) h3->SetCanExtend(TH1::kAllAxes);
850  if (!hkeep) {
851  //small correction for the title offsets in x,y to take into account the angles
852  Double_t xoffset = h3->GetXaxis()->GetTitleOffset();
853  Double_t yoffset = h3->GetYaxis()->GetTitleOffset();
854  h3->GetXaxis()->SetTitleOffset(1.2 * xoffset);
855  h3->GetYaxis()->SetTitleOffset(1.2 * yoffset);
856  h3->GetXaxis()->SetTitle(fVar[2]->GetTitle());
857  h3->GetYaxis()->SetTitle(fVar[1]->GetTitle());
858  h3->GetZaxis()->SetTitle(fVar[0]->GetTitle());
859  h3->SetBit(kCanDelete);
860  h3->SetBit(TH1::kNoStats);
861  if (!opt.Contains("goff")) h3->SetDirectory(0);
862  }
863  }
864  fVar[0]->SetAxis(h3->GetZaxis());
865  fVar[1]->SetAxis(h3->GetYaxis());
866  fVar[2]->SetAxis(h3->GetXaxis());
867  fObject = h3;
868  Int_t noscat = strlen(option);
869  if (optSame) noscat -= 4;
870  if (!noscat && fDimension == 3) {
871  fAction = 13;
872  if (!fOldHistogram && !optSame) fAction = -13;
873  }
874  }
875  // An Event List
876  } else if (enlist) {
877  fAction = 5;
879  fTree->SetEstimate(1);
880  fObject = enlist;
881  } else if (evlist) {
882  fAction = 5;
884  fTree->SetEstimate(1);
885  fObject = evlist;
886  } else if (optcandle || optpara || opt5d) {
887  if (optcandle) fAction = 7;
888  else if (opt5d) fAction = 8;
889  else fAction = 6;
890  }
891  if (varexp) delete [] varexp;
892  if (hnamealloc) delete [] hnamealloc;
893  for (i = 0; i < fValSize; ++i)
894  fVarMultiple[i] = kFALSE;
896  for (i = 0; i < fDimension; ++i) {
897  if (fVar[i] && fVar[i]->GetMultiplicity()) fVarMultiple[i] = kTRUE;
898  }
899 
901 
903  fWeight = fTree->GetWeight();
904  fNfill = 0;
905 
906  for (i = 0; i < fDimension; ++i) {
907  if (!fVal[i] && fVar[i]) {
908  fVal[i] = new Double_t[(Int_t)fTree->GetEstimate()];
909  }
910  }
911 
912  if (!fW) fW = new Double_t[(Int_t)fTree->GetEstimate()];
913 
914  for (i = 0; i < fValSize; ++i) {
915  fVmin[i] = DBL_MAX;
916  fVmax[i] = -DBL_MAX;
917  }
918 }
919 
920 ////////////////////////////////////////////////////////////////////////////////
921 /// Delete internal buffers.
922 
924 {
925  ResetBit(kWarn);
926  for (Int_t i = 0; i < fValSize; ++i) {
927  delete fVar[i];
928  fVar[i] = 0;
929  }
930  delete fSelect; fSelect = 0;
931  fManager = 0;
932  fMultiplicity = 0;
933 }
934 
935 ////////////////////////////////////////////////////////////////////////////////
936 /// Compile input variables and selection expression.
937 ///
938 /// varexp is an expression of the general form e1:e2:e3
939 /// where e1,etc is a formula referencing a combination of the columns
940 ///
941 /// Example:
942 ///
943 /// varexp = x simplest case: draw a 1-Dim distribution of column named x
944 /// = sqrt(x) : draw distribution of sqrt(x)
945 /// = x*y/z
946 /// = y:sqrt(x) 2-Dim distribution of y versus sqrt(x)
947 ///
948 /// selection is an expression with a combination of the columns
949 ///
950 /// Example:
951 ///
952 /// selection = "x<y && sqrt(z)>3.2"
953 ///
954 /// in a selection all the C++ operators are authorized
955 ///
956 /// Return kFALSE if any of the variable is not compilable.
957 
958 Bool_t TSelectorDraw::CompileVariables(const char *varexp, const char *selection)
959 {
960  Int_t i, nch, ncols;
961 
962  // Compile selection expression if there is one
963  fDimension = 0;
964  ClearFormula();
965  fMultiplicity = 0;
966  fObjEval = kFALSE;
967 
968  if (strlen(selection)) {
969  fSelect = new TTreeFormula("Selection", selection, fTree);
971  if (!fSelect->GetNdim()) {
972  delete fSelect;
973  fSelect = 0;
974  return kFALSE;
975  }
976  }
977 
978  // if varexp is empty, take first column by default
979  nch = strlen(varexp);
980  if (nch == 0) {
981  fDimension = 0;
982  if (fSelect) {
984  }
986 
987  if (fManager) {
988  fManager->Sync();
989 
992  }
993 
994  return kTRUE;
995  }
996 
997  // otherwise select only the specified columns
998  std::vector<TString> varnames;
999  ncols = SplitNames(varexp, varnames);
1000 
1001  InitArrays(ncols);
1002 
1003  fManager = new TTreeFormulaManager();
1004  if (fSelect) fManager->Add(fSelect);
1006  for (i = 0; i < ncols; ++i) {
1007  fVar[i] = new TTreeFormula(TString::Format("Var%i", i + 1), varnames[i].Data(), fTree);
1008  fVar[i]->SetQuickLoad(kTRUE);
1009  if(!fVar[i]->GetNdim()) { ClearFormula(); return kFALSE; }
1010  fManager->Add(fVar[i]);
1011  }
1012  fManager->Sync();
1013 
1016 
1017  fDimension = ncols;
1018 
1019  if (ncols == 1) {
1020  TClass *cl = fVar[0]->EvalClass();
1021  if (cl) {
1022  fObjEval = kTRUE;
1023  }
1024  }
1025  return kTRUE;
1026 }
1027 
1028 ////////////////////////////////////////////////////////////////////////////////
1029 /// Return the last values corresponding to the i-th component
1030 /// of the formula being processed (where the component are ':' separated).
1031 /// The actual number of entries is:
1032 ///
1033 /// GetSelectedRows() % tree->GetEstimate()
1034 ///
1035 /// Note GetSelectedRows currently returns the actual number of values plotted
1036 /// and thus if the formula contains arrays, this number might be greater than
1037 /// the number of entries in the trees.
1038 ///
1039 /// By default TTree::Draw creates the arrays obtained
1040 /// with all GetVal and GetW with a length corresponding to the
1041 /// parameter fEstimate. By default fEstimate=10000 and can be modified
1042 /// via TTree::SetEstimate. A possible recipe is to do
1043 ///
1044 /// tree->SetEstimate(tree->GetEntries());
1045 ///
1046 /// You must call SetEstimate if the expected number of selected rows
1047 /// is greater than 10000.
1048 ///
1049 /// See TTree::Draw for additional details.
1050 
1052 {
1053  if (i < 0 || i >= fDimension)
1054  return 0;
1055  else
1056  return fVal[i];
1057 }
1058 
1059 ////////////////////////////////////////////////////////////////////////////////
1060 /// Return the TTreeFormula corresponding to the i-th component
1061 /// of the request formula (where the component are ':' separated).
1062 
1064 {
1065  if (i < 0 || i >= fDimension)
1066  return 0;
1067  else
1068  return fVar[i];
1069 }
1070 
1071 ////////////////////////////////////////////////////////////////////////////////
1072 /// Initialization of the primitive type arrays if the new size is bigger than the available space.
1073 
1075 {
1076  if (newsize > fValSize) {
1077  Int_t oldsize = fValSize;
1078  while (fValSize < newsize)
1079  fValSize *= 2; // Double the available space until it matches the new size.
1080  if (fNbins) delete [] fNbins;
1081  if (fVmin) delete [] fVmin;
1082  if (fVmax) delete [] fVmax;
1083  if (fVarMultiple) delete [] fVarMultiple;
1084 
1085  fNbins = new Int_t[fValSize];
1086  fVmin = new Double_t[fValSize];
1087  fVmax = new Double_t[fValSize];
1088  fVarMultiple = new Bool_t[fValSize];
1089 
1090  for (Int_t i = 0; i < oldsize; ++i)
1091  delete [] fVal[i];
1092  delete [] fVal;
1093  delete [] fVar;
1094  fVal = new Double_t*[fValSize];
1095  fVar = new TTreeFormula*[fValSize];
1096  for (Int_t i = 0; i < fValSize; ++i) {
1097  fVal[i] = 0;
1098  fVar[i] = 0;
1099  }
1100  }
1101 }
1102 
1103 ////////////////////////////////////////////////////////////////////////////////
1104 /// Build Index array for names in varexp.
1105 /// This will allocated a C style array of TString and Ints
1106 
1107 UInt_t TSelectorDraw::SplitNames(const TString &varexp, std::vector<TString> &names)
1108 {
1109  names.clear();
1110 
1111  Bool_t ternary = kFALSE;
1112  Int_t prev = 0;
1113  for (Int_t i = 0; i < varexp.Length(); i++) {
1114  if (varexp[i] == ':'
1115  && !((i > 0 && varexp[i-1] == ':') || varexp[i+1] == ':')
1116  ) {
1117  if (ternary) {
1118  ternary = kFALSE;
1119  } else {
1120  names.push_back(varexp(prev, i - prev));
1121  prev = i + 1;
1122  }
1123  }
1124  if (varexp[i] == '?') {
1125  ternary = kTRUE;
1126  }
1127  }
1128  names.push_back(varexp(prev, varexp.Length() - prev));
1129  return names.size();
1130 }
1131 
1132 
1133 ////////////////////////////////////////////////////////////////////////////////
1134 /// This function is called at the first entry of a new tree in a chain.
1135 
1137 {
1138  if (fTree) fWeight = fTree->GetWeight();
1139  if (fVar) {
1140  for (Int_t i = 0; i < fDimension; ++i) {
1141  if (fVar[i]) fVar[i]->UpdateFormulaLeaves();
1142  }
1143  }
1145  return kTRUE;
1146 }
1147 
1148 ////////////////////////////////////////////////////////////////////////////////
1149 /// Called in the entry loop for all entries accepted by Select.
1150 
1152 {
1153  if (fObjEval) {
1154  ProcessFillObject(entry);
1155  return;
1156  }
1157 
1158  if (fMultiplicity) {
1159  ProcessFillMultiple(entry);
1160  return;
1161  }
1162 
1163  // simple case with no multiplicity
1164  if (fForceRead && fManager->GetNdata() <= 0) return;
1165 
1166  if (fSelect) {
1168  if (!fW[fNfill]) return;
1169  } else fW[fNfill] = fWeight;
1170  if (fVal) {
1171  for (Int_t i = 0; i < fDimension; ++i) {
1172  if (fVar[i]) fVal[i][fNfill] = fVar[i]->EvalInstance(0);
1173  }
1174  }
1175  fNfill++;
1176  if (fNfill >= fTree->GetEstimate()) {
1177  TakeAction();
1178  fNfill = 0;
1179  }
1180 }
1181 
1182 ////////////////////////////////////////////////////////////////////////////////
1183 /// Called in the entry loop for all entries accepted by Select.
1184 /// Complex case with multiplicity.
1185 
1187 {
1188  // Grab the array size of the formulas for this entry
1190 
1191  // No data at all, let's move on to the next entry.
1192  if (!ndata) return;
1193 
1194  // If the entry list is a TEntryListArray, get the selected subentries for this entry
1195  TEntryList *subList = 0;
1196  if (fTreeElistArray) {
1197  subList = fTreeElistArray->GetSubListForEntry(entry, fTree->GetTree());
1198  }
1199 
1200  Int_t nfill0 = fNfill;
1201 
1202  // Calculate the first values
1203  if (fSelect) {
1204  // coverity[var_deref_model] fSelectMultiple==kTRUE => fSelect != 0
1206  if (!fW[fNfill] && !fSelectMultiple) return;
1207  } else fW[fNfill] = fWeight;
1208 
1209  // Always call EvalInstance(0) to insure the loading
1210  // of the branches.
1211  if (fW[fNfill] && (!subList || subList->Contains(0))) {
1212  if (fDimension == 0 && fSelectMultiple) fCurrentSubEntry = (Long64_t) 0; // to fill TEntryListArray
1213  for (Int_t i = 0; i < fDimension; ++i) {
1214  if (fVar[i]) fVal[i][fNfill] = fVar[i]->EvalInstance(0);
1215  }
1216  fNfill++;
1217  if (fNfill >= fTree->GetEstimate()) {
1218  TakeAction();
1219  fNfill = 0;
1220  }
1221  } else {
1222  for (Int_t i = 0; i < fDimension; ++i) {
1223  if (fVar[i]) fVar[i]->ResetLoading();
1224  }
1225  }
1226  Double_t ww = fW[nfill0];
1227 
1228  for (Int_t i = 1; i < ndata; i++) {
1229  if (subList && !subList->Contains(i)) continue;
1230  if (fSelectMultiple) {
1231  // coverity[var_deref_model] fSelectMultiple==kTRUE => fSelect != 0
1232  ww = fWeight * fSelect->EvalInstance(i);
1233  if (ww == 0) continue;
1234  if (fNfill == nfill0) {
1235  for (Int_t k = 0; k < fDimension; ++k) {
1236  if (!fVarMultiple[k]) fVal[k][fNfill] = fVar[k]->EvalInstance(0);
1237  }
1238  }
1239  if (fDimension == 0) fCurrentSubEntry = (Long64_t) i; // to fill TEntryListArray
1240  }
1241  for (Int_t k = 0; k < fDimension; ++k) {
1242  if (fVarMultiple[k]) fVal[k][fNfill] = fVar[k]->EvalInstance(i);
1243  else fVal[k][fNfill] = fVal[k][nfill0];
1244  }
1245  fW[fNfill] = ww;
1246 
1247  fNfill++;
1248  if (fNfill >= fTree->GetEstimate()) {
1249  TakeAction();
1250  fNfill = 0;
1251  }
1252  }
1253 }
1254 
1255 ////////////////////////////////////////////////////////////////////////////////
1256 /// Called in the entry loop for all entries accepted by Select.
1257 /// Case where the only variable returns an object (or pointer to).
1258 
1260 {
1261  // Complex case with multiplicity.
1262 
1263  // Grab the array size of the formulas for this entry
1265 
1266  // No data at all, let's move on to the next entry.
1267  if (!ndata) return;
1268 
1269  Int_t nfill0 = fNfill;
1270  Double_t ww = 0;
1271 
1272  for (Int_t i = 0; i < ndata; i++) {
1273  if (i == 0) {
1274  if (fSelect) {
1276  if (!fW[fNfill] && !fSelectMultiple) return;
1277  } else fW[fNfill] = fWeight;
1278  ww = fW[nfill0];
1279  } else if (fSelectMultiple) {
1280  ww = fWeight * fSelect->EvalInstance(i);
1281  if (ww == 0) continue;
1282  }
1283  if (fDimension >= 1 && fVar[0]) {
1284  TClass *cl = fVar[0]->EvalClass();
1285  if (cl == TBits::Class()) {
1286 
1287  void *obj = fVar[0]->EvalObject(i);
1288 
1289  if (obj) {
1290  TBits *bits = (TBits*)obj;
1291  Int_t nbits = bits->GetNbits();
1292 
1293  Int_t nextbit = -1;
1294  while (1) {
1295  nextbit = bits->FirstSetBit(nextbit + 1);
1296  if (nextbit >= nbits) break;
1297  fVal[0][fNfill] = nextbit;
1298  fW[fNfill] = ww;
1299  fNfill++;
1300  }
1301  }
1302 
1303  } else {
1304 
1305  if (!TestBit(kWarn)) {
1306  Warning("ProcessFillObject",
1307  "Not implemented for %s",
1308  cl ? cl->GetName() : "unknown class");
1309  SetBit(kWarn);
1310  }
1311 
1312  }
1313  }
1314  if (fNfill >= fTree->GetEstimate()) {
1315  TakeAction();
1316  fNfill = 0;
1317  }
1318  }
1319 
1320 }
1321 
1322 ////////////////////////////////////////////////////////////////////////////////
1323 /// Set number of entries to estimate variable limits.
1324 
1326 {
1327  if (fVal) {
1328  for (Int_t i = 0; i < fValSize; ++i) {
1329  delete [] fVal[i];
1330  fVal[i] = 0;
1331  }
1332  }
1333  delete [] fW; fW = 0;
1334 }
1335 
1336 ////////////////////////////////////////////////////////////////////////////////
1337 /// Execute action for object obj fNfill times.
1338 
1340 {
1341  Int_t i;
1342  //__________________________1-D histogram_______________________
1343  if (fAction == 1)((TH1*)fObject)->FillN(fNfill, fVal[0], fW);
1344  //__________________________2-D histogram_______________________
1345  else if (fAction == 2) {
1346  TH2 *h2 = (TH2*)fObject;
1347  for (i = 0; i < fNfill; i++) h2->Fill(fVal[1][i], fVal[0][i], fW[i]);
1348  }
1349  //__________________________Profile histogram_______________________
1350  else if (fAction == 4)((TProfile*)fObject)->FillN(fNfill, fVal[1], fVal[0], fW);
1351  //__________________________Event List______________________________
1352  else if (fAction == 5) {
1354  TEntryListArray *enlistarray = (TEntryListArray*)fObject;
1355  Long64_t enumb = fTree->GetTree()->GetReadEntry();
1356  enlistarray->Enter(enumb, 0, fCurrentSubEntry);
1357  } else if (fObject->InheritsFrom(TEntryList::Class())) {
1358  TEntryList *enlist = (TEntryList*)fObject;
1359  Long64_t enumb = fTree->GetTree()->GetReadEntry();
1360  enlist->Enter(enumb);
1361  } else {
1362  TEventList *evlist = (TEventList*)fObject;
1364  if (evlist->GetIndex(enumb) < 0) evlist->Enter(enumb);
1365  }
1366  }
1367  //__________________________2D scatter plot_______________________
1368  else if (fAction == 12) {
1369  TH2 *h2 = (TH2*)fObject;
1370  if (h2->CanExtendAllAxes() && h2->TestBit(kCanDelete)) {
1371  for (i = 0; i < fNfill; i++) {
1372  if (fVmin[0] > fVal[0][i]) fVmin[0] = fVal[0][i];
1373  if (fVmax[0] < fVal[0][i]) fVmax[0] = fVal[0][i];
1374  if (fVmin[1] > fVal[1][i]) fVmin[1] = fVal[1][i];
1375  if (fVmax[1] < fVal[1][i]) fVmax[1] = fVal[1][i];
1376  }
1378  }
1379  TGraph *pm = new TGraph(fNfill, fVal[1], fVal[0]);
1380  pm->SetEditable(kFALSE);
1381  pm->SetBit(kCanDelete);
1390 
1391  if (!fDraw && !strstr(fOption.Data(), "goff")) {
1392  if (fOption.Length() == 0 || strcasecmp(fOption.Data(), "same") == 0) pm->Draw("p");
1393  else pm->Draw(fOption.Data());
1394  }
1395  if (!h2->TestBit(kCanDelete)) {
1396  for (i = 0; i < fNfill; i++) h2->Fill(fVal[1][i], fVal[0][i], fW[i]);
1397  }
1398  }
1399  //__________________________3D scatter plot_______________________
1400  else if (fAction == 3) {
1401  TH3 *h3 = (TH3*)fObject;
1402  if (!h3->TestBit(kCanDelete)) {
1403  for (i = 0; i < fNfill; i++) h3->Fill(fVal[2][i], fVal[1][i], fVal[0][i], fW[i]);
1404  }
1405  } else if (fAction == 13) {
1406  TPolyMarker3D *pm3d = new TPolyMarker3D(fNfill);
1409  pm3d->SetMarkerSize(fTree->GetMarkerSize());
1410  for (i = 0; i < fNfill; i++) {
1411  pm3d->SetPoint(i, fVal[2][i], fVal[1][i], fVal[0][i]);
1412  }
1413  pm3d->Draw();
1414  TH3 *h3 = (TH3*)fObject;
1415  if (!h3->TestBit(kCanDelete)) {
1416  for (i = 0; i < fNfill; i++) h3->Fill(fVal[2][i], fVal[1][i], fVal[0][i], fW[i]);
1417  }
1418  }
1419  //__________________________3D scatter plot (3rd variable = col)__
1420  else if (fAction == 33) {
1421  TH2 *h2 = (TH2*)fObject;
1422  TakeEstimate();
1423  Int_t ncolors = gStyle->GetNumberOfColors();
1424  TObjArray *grs = (TObjArray*)h2->GetListOfFunctions()->FindObject("graphs");
1425  Int_t col;
1426  TGraph *gr;
1427  if (!grs) {
1428  grs = new TObjArray(ncolors);
1429  grs->SetOwner();
1430  grs->SetName("graphs");
1431  h2->GetListOfFunctions()->Add(grs, "P");
1432  for (col = 0; col < ncolors; col++) {
1433  gr = new TGraph();
1437  grs->AddAt(gr, col);
1438  }
1439  }
1440  h2->SetEntries(fNfill);
1441  h2->SetMinimum(fVmin[2]);
1442  h2->SetMaximum(fVmax[2]);
1443  // Fill the graphs according to the color
1444  for (i = 0; i < fNfill; i++) {
1445  col = Int_t(ncolors * ((fVal[2][i] - fVmin[2]) / (fVmax[2] - fVmin[2])));
1446  if (col < 0) col = 0;
1447  if (col > ncolors - 1) col = ncolors - 1;
1448  gr = (TGraph*)grs->UncheckedAt(col);
1449  if (gr) gr->SetPoint(gr->GetN(), fVal[1][i], fVal[0][i]);
1450  }
1451  // Remove potential empty graphs
1452  for (col = 0; col < ncolors; col++) {
1453  gr = (TGraph*)grs->At(col);
1454  if (gr && gr->GetN() <= 0) grs->Remove(gr);
1455  }
1456  }
1457  //__________________________2D Profile Histogram__________________
1458  else if (fAction == 23) {
1459  TProfile2D *hp2 = (TProfile2D*)fObject;
1460  for (i = 0; i < fNfill; i++) hp2->Fill(fVal[2][i], fVal[1][i], fVal[0][i], fW[i]);
1461  }
1462  //__________________________4D scatter plot_______________________
1463  else if (fAction == 40) {
1464  TakeEstimate();
1465  TH3 *h3 = (TH3*)fObject;
1466  Int_t ncolors = gStyle->GetNumberOfColors();
1467  if (ncolors == 0) {
1469  ncolors = gStyle->GetNumberOfColors();
1470  }
1471  TObjArray *pms = (TObjArray*)h3->GetListOfFunctions()->FindObject("polymarkers");
1472  Int_t col;
1473  TPolyMarker3D *pm3d;
1474  if (!pms) {
1475  pms = new TObjArray(ncolors);
1476  pms->SetOwner();
1477  pms->SetName("polymarkers");
1478  h3->GetListOfFunctions()->Add(pms);
1479  for (col = 0; col < ncolors; col++) {
1480  pm3d = new TPolyMarker3D();
1481  pm3d->SetMarkerColor(gStyle->GetColorPalette(col));
1483  pm3d->SetMarkerSize(fTree->GetMarkerSize());
1484  pms->AddAt(pm3d, col);
1485  }
1486  }
1487  h3->SetEntries(fNfill);
1488  h3->SetMinimum(fVmin[3]);
1489  h3->SetMaximum(fVmax[3]);
1490  for (i = 0; i < fNfill; i++) {
1491  col = Int_t(ncolors * ((fVal[3][i] - fVmin[3]) / (fVmax[3] - fVmin[3])));
1492  if (col > ncolors-1) col = ncolors-1;
1493  if (col < 0) col = 0;
1494  pm3d = (TPolyMarker3D*)pms->UncheckedAt(col);
1495  pm3d->SetPoint(pm3d->GetLastPoint() + 1, fVal[2][i], fVal[1][i], fVal[0][i]);
1496  }
1497  }
1498  //__________________________Parallel coordinates / candle chart_______________________
1499  else if (fAction == 6 || fAction == 7) {
1500  TakeEstimate();
1501  Bool_t candle = (fAction == 7);
1502  // Using CINT to avoid a dependency in TParallelCoord
1503  if (!fOption.Contains("goff"))
1504  gROOT->ProcessLine(TString::Format("TParallelCoord::BuildParallelCoord((TSelectorDraw*)0x%lx,0x%lx)",
1505  (ULong_t)this, (ULong_t)candle));
1506  } else if (fAction == 8) {
1507  //gROOT->ProcessLineFast(TString::Format("(new TGL5DDataSet((TTree *)0x%1x))->Draw(\"%s\");", fTree, fOption.Data()));
1508  }
1509  //__________________________something else_______________________
1510  else if (fAction < 0) {
1511  fAction = -fAction;
1512  TakeEstimate();
1513  }
1514 
1515  // Do we need to update screen?
1516  fSelectedRows += fNfill;
1517  if (!fTree->GetUpdate()) return;
1518  if (fSelectedRows > fDraw + fTree->GetUpdate()) {
1519  if (fDraw) gPad->Modified();
1520  else fObject->Draw(fOption.Data());
1521  gPad->Update();
1522  fDraw = fSelectedRows;
1523  }
1524 }
1525 
1526 ////////////////////////////////////////////////////////////////////////////////
1527 /// Estimate limits for 1-D, 2-D or 3-D objects.
1528 
1530 {
1531  Int_t i;
1532  Double_t rmin[3], rmax[3];
1533  Double_t vminOld[4], vmaxOld[4];
1534  for (i = 0; i < fValSize && i < 4; i++) {
1535  vminOld[i] = fVmin[i];
1536  vmaxOld[i] = fVmax[i];
1537  }
1538  for (i = 0; i < fValSize; ++i) {
1539  fVmin[i] = DBL_MAX;
1540  fVmax[i] = - DBL_MAX;
1541  }
1542  //__________________________1-D histogram_______________________
1543  if (fAction == 1) {
1544  TH1 *h1 = (TH1*)fObject;
1545  if (h1->CanExtendAllAxes()) {
1546  for (i = 0; i < fNfill; i++) {
1547  if (fVmin[0] > fVal[0][i]) fVmin[0] = fVal[0][i];
1548  if (fVmax[0] < fVal[0][i]) fVmax[0] = fVal[0][i];
1549  }
1551  }
1552  h1->FillN(fNfill, fVal[0], fW);
1553  //__________________________2-D histogram_______________________
1554  } else if (fAction == 2) {
1555  TH2 *h2 = (TH2*)fObject;
1556  if (h2->CanExtendAllAxes()) {
1557  for (i = 0; i < fNfill; i++) {
1558  if (fVmin[0] > fVal[0][i]) fVmin[0] = fVal[0][i];
1559  if (fVmax[0] < fVal[0][i]) fVmax[0] = fVal[0][i];
1560  if (fVmin[1] > fVal[1][i]) fVmin[1] = fVal[1][i];
1561  if (fVmax[1] < fVal[1][i]) fVmax[1] = fVal[1][i];
1562  }
1564  }
1565  for (i = 0; i < fNfill; i++) h2->Fill(fVal[1][i], fVal[0][i], fW[i]);
1566  //__________________________Profile histogram_______________________
1567  } else if (fAction == 4) {
1568  TProfile *hp = (TProfile*)fObject;
1569  if (hp->CanExtendAllAxes()) {
1570  for (i = 0; i < fNfill; i++) {
1571  if (fVmin[0] > fVal[0][i]) fVmin[0] = fVal[0][i];
1572  if (fVmax[0] < fVal[0][i]) fVmax[0] = fVal[0][i];
1573  if (fVmin[1] > fVal[1][i]) fVmin[1] = fVal[1][i];
1574  if (fVmax[1] < fVal[1][i]) fVmax[1] = fVal[1][i];
1575  }
1577  }
1578  hp->FillN(fNfill, fVal[1], fVal[0], fW);
1579  //__________________________2D scatter plot_______________________
1580  } else if (fAction == 12) {
1581  TH2 *h2 = (TH2*)fObject;
1582  if (h2->CanExtendAllAxes()) {
1583  for (i = 0; i < fNfill; i++) {
1584  if (fVmin[0] > fVal[0][i]) fVmin[0] = fVal[0][i];
1585  if (fVmax[0] < fVal[0][i]) fVmax[0] = fVal[0][i];
1586  if (fVmin[1] > fVal[1][i]) fVmin[1] = fVal[1][i];
1587  if (fVmax[1] < fVal[1][i]) fVmax[1] = fVal[1][i];
1588  }
1590  // In case the new lower limits of h2 axis are 0, it is better to set them to the minimum of
1591  // the data set (which should be >0) to avoid data cut when plotting in log scale.
1592  TAxis *aX = h2->GetXaxis();
1593  TAxis *aY = h2->GetYaxis();
1594  Double_t xmin = aX->GetXmin();
1595  Double_t ymin = aY->GetXmin();
1596  if (xmin == 0 || ymin == 0) {
1597  if (aX->GetBinUpEdge(aX->FindFixBin(0.01*aX->GetBinWidth(aX->GetFirst()))) > fVmin[1]) xmin = fVmin[1];
1598  if (aY->GetBinUpEdge(aY->FindFixBin(0.01*aY->GetBinWidth(aY->GetFirst()))) > fVmin[0]) ymin = fVmin[0];
1599  h2->SetBins(aX->GetNbins(), xmin, aX->GetXmax(), aY->GetNbins(), ymin, aY->GetXmax());
1600  }
1601  }
1602 
1603  if (!strstr(fOption.Data(), "same") && !strstr(fOption.Data(), "goff")) {
1604  if (!h2->TestBit(kCanDelete)) {
1605  // case like: T.Draw("y:x>>myhist")
1606  // we must draw a copy before filling the histogram h2=myhist
1607  // because h2 will be filled below and we do not want to show
1608  // the binned scatter-plot, the TGraph being better.
1609  TH1 *h2c = h2->DrawCopy(fOption.Data(),"");
1610  if (h2c) h2c->SetStats(kFALSE);
1611  } else {
1612  // case like: T.Draw("y:x")
1613  // h2 is a temporary histogram (htemp). This histogram
1614  // will be automatically deleted by TPad::Clear
1615  h2->Draw();
1616  }
1617  gPad->Update();
1618  }
1619  TGraph *pm = new TGraph(fNfill, fVal[1], fVal[0]);
1620  pm->SetEditable(kFALSE);
1621  pm->SetBit(kCanDelete);
1630  if (!fDraw && !strstr(fOption.Data(),"goff")) {
1631  if (fOption.Length() == 0 || strcasecmp(fOption.Data(),"same")==0) {
1632  pm->Draw("p");
1633  }
1634  else {
1635  TString opt = fOption;
1636  opt.ToLower();
1637  if (opt.Contains("a")) {
1638  TString temp(opt);
1639  temp.ReplaceAll("same","");
1640  if (temp.Contains("a")) {
1641  if (h2->TestBit(kCanDelete)) {
1642  // h2 will be deleted, the axis setting is delegated to only
1643  // the TGraph.
1644  h2 = 0;
1645  }
1646  }
1647  }
1648  pm->Draw(fOption.Data());
1649  }
1650  }
1651  if (h2 && !h2->TestBit(kCanDelete)) {
1652  for (i = 0; i < fNfill; i++) h2->Fill(fVal[1][i], fVal[0][i], fW[i]);
1653  }
1654  //__________________________3D scatter plot with option col_______________________
1655  } else if (fAction == 33) {
1656  TH2 *h2 = (TH2*)fObject;
1657  Bool_t process2 = kFALSE;
1658  if (h2->CanExtendAllAxes()) {
1659  if (vminOld[2] == DBL_MAX)
1660  process2 = kTRUE;
1661  for (i = 0; i < fValSize && i < 4; i++) {
1662  fVmin[i] = vminOld[i];
1663  fVmax[i] = vmaxOld[i];
1664  }
1665  for (i = 0; i < fNfill; i++) {
1666  if (fVmin[0] > fVal[0][i]) fVmin[0] = fVal[0][i];
1667  if (fVmax[0] < fVal[0][i]) fVmax[0] = fVal[0][i];
1668  if (fVmin[1] > fVal[1][i]) fVmin[1] = fVal[1][i];
1669  if (fVmax[1] < fVal[1][i]) fVmax[1] = fVal[1][i];
1670  if (process2) {
1671  if (fVmin[2] > fVal[2][i]) fVmin[2] = fVal[2][i];
1672  if (fVmax[2] < fVal[2][i]) fVmax[2] = fVal[2][i];
1673  }
1674  }
1676  // In case the new lower limits of h2 axis are 0, it is better to set them to the minimum of
1677  // the data set (which should be >0) to avoid data cut when plotting in log scale.
1678  TAxis *aX = h2->GetXaxis();
1679  TAxis *aY = h2->GetYaxis();
1680  Double_t xmin = aX->GetXmin();
1681  Double_t ymin = aY->GetXmin();
1682  if (xmin == 0 || ymin == 0) {
1683  if (aX->GetBinUpEdge(aX->FindFixBin(0.01*aX->GetBinWidth(aX->GetFirst()))) > fVmin[1]) xmin = fVmin[1];
1684  if (aY->GetBinUpEdge(aY->FindFixBin(0.01*aY->GetBinWidth(aY->GetFirst()))) > fVmin[0]) ymin = fVmin[0];
1685  h2->SetBins(aX->GetNbins(), xmin, aX->GetXmax(), aY->GetNbins(), ymin, aY->GetXmax());
1686  }
1687  } else {
1688  for (i = 0; i < fNfill; i++) {
1689  if (fVmin[2] > fVal[2][i]) fVmin[2] = fVal[2][i];
1690  if (fVmax[2] < fVal[2][i]) fVmax[2] = fVal[2][i];
1691  }
1692  }
1693  //__________________________3D scatter plot_______________________
1694  } else if (fAction == 3 || fAction == 13) {
1695  TH3 *h3 = (TH3*)fObject;
1696  if (h3->CanExtendAllAxes()) {
1697  for (i = 0; i < fNfill; i++) {
1698  if (fVmin[0] > fVal[0][i]) fVmin[0] = fVal[0][i];
1699  if (fVmax[0] < fVal[0][i]) fVmax[0] = fVal[0][i];
1700  if (fVmin[1] > fVal[1][i]) fVmin[1] = fVal[1][i];
1701  if (fVmax[1] < fVal[1][i]) fVmax[1] = fVal[1][i];
1702  if (fVmin[2] > fVal[2][i]) fVmin[2] = fVal[2][i];
1703  if (fVmax[2] < fVal[2][i]) fVmax[2] = fVal[2][i];
1704  }
1706  }
1707  if (fAction == 3) {
1708  for (i = 0; i < fNfill; i++) h3->Fill(fVal[2][i], fVal[1][i], fVal[0][i], fW[i]);
1709  return;
1710  }
1711  if (!strstr(fOption.Data(), "same") && !strstr(fOption.Data(), "goff")) {
1712  if (!h3->TestBit(kCanDelete)) {
1713  // case like: T.Draw("y:x>>myhist")
1714  // we must draw a copy before filling the histogram h3=myhist
1715  // because h3 will be filled below and we do not want to show
1716  // the binned scatter-plot, the TGraph being better.
1717  TH1 *h3c = h3->DrawCopy(fOption.Data(),"");
1718  if (h3c) h3c->SetStats(kFALSE);
1719  } else {
1720  // case like: T.Draw("y:x")
1721  // h3 is a temporary histogram (htemp). This histogram
1722  // will be automatically deleted by TPad::Clear
1723  h3->Draw(fOption.Data());
1724  }
1725  gPad->Update();
1726  } else {
1727  rmin[0] = fVmin[2]; rmin[1] = fVmin[1]; rmin[2] = fVmin[0];
1728  rmax[0] = fVmax[2]; rmax[1] = fVmax[1]; rmax[2] = fVmax[0];
1729  gPad->Clear();
1730  gPad->Range(-1, -1, 1, 1);
1731  TView::CreateView(1, rmin, rmax);
1732  }
1733  TPolyMarker3D *pm3d = new TPolyMarker3D(fNfill);
1736  pm3d->SetMarkerSize(fTree->GetMarkerSize());
1737  for (i = 0; i < fNfill; i++) {
1738  pm3d->SetPoint(i, fVal[2][i], fVal[1][i], fVal[0][i]);
1739  }
1740  if (!fDraw && !strstr(fOption.Data(), "goff")) pm3d->Draw();
1741  if (!h3->TestBit(kCanDelete)) {
1742  for (i = 0; i < fNfill; i++) h3->Fill(fVal[2][i], fVal[1][i], fVal[0][i], fW[i]);
1743  }
1744 
1745  //__________________________2D Profile Histogram__________________
1746  } else if (fAction == 23) {
1747  TProfile2D *hp = (TProfile2D*)fObject;
1748  if (hp->CanExtendAllAxes()) {
1749  for (i = 0; i < fNfill; i++) {
1750  if (fVmin[0] > fVal[0][i]) fVmin[0] = fVal[0][i];
1751  if (fVmax[0] < fVal[0][i]) fVmax[0] = fVal[0][i];
1752  if (fVmin[1] > fVal[1][i]) fVmin[1] = fVal[1][i];
1753  if (fVmax[1] < fVal[1][i]) fVmax[1] = fVal[1][i];
1754  if (fVmin[2] > fVal[2][i]) fVmin[2] = fVal[2][i];
1755  if (fVmax[2] < fVal[2][i]) fVmax[2] = fVal[2][i];
1756  }
1758  }
1759  for (i = 0; i < fNfill; i++) hp->Fill(fVal[2][i], fVal[1][i], fVal[0][i], fW[i]);
1760  //__________________________4D scatter plot_______________________
1761  } else if (fAction == 40) {
1762  TH3 *h3 = (TH3*)fObject;
1763  if (h3->CanExtendAllAxes()) {
1764  for (i = 0; i < fValSize && i < 4; i++) {
1765  fVmin[i] = vminOld[i];
1766  fVmax[i] = vmaxOld[i];
1767  }
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  if (fVmin[3] > fVal[3][i]) fVmin[3] = fVal[3][i];
1776  if (fVmax[3] < fVal[3][i]) fVmax[3] = fVal[3][i];
1777  }
1779  } else {
1780  for (i = 0; i < fNfill; i++) {
1781  if (fVmin[3] > fVal[3][i]) fVmin[3] = fVal[3][i];
1782  if (fVmax[3] < fVal[3][i]) fVmax[3] = fVal[3][i];
1783  }
1784  }
1785  }
1786  //__________________________Parallel coordinates plot / candle chart_______________________
1787  else if (fAction == 6 || fAction == 7) {
1788  for (i = 0; i < fDimension; ++i) {
1789  for (Long64_t entry = 0; entry < fNfill; entry++) {
1790  if (fVmin[i] > fVal[i][entry]) fVmin[i] = fVal[i][entry];
1791  if (fVmax[i] < fVal[i][entry]) fVmax[i] = fVal[i][entry];
1792  }
1793  }
1794  }
1795 }
1796 
1797 ////////////////////////////////////////////////////////////////////////////////
1798 /// Called at the end of a loop on a TTree.
1799 
1801 {
1802  if (fNfill) TakeAction();
1803 
1804  if ((fSelectedRows == 0) && (TestBit(kCustomHistogram) == 0)) fDraw = 1; // do not draw
1805 
1807 }
const int ndata
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 "s...
Definition: TAttAxis.cxx:262
virtual const char * GetName() const
Returns name of object.
Definition: TNamed.h:51
virtual void SetLineWidth(Width_t lwidth)
Set the line width.
Definition: TAttLine.h:49
UInt_t GetNbits() const
Definition: TBits.h:141
An array of TObjects.
Definition: TObjArray.h:39
virtual void Terminate()
Called at the end of a loop on a TTree.
float xmin
Definition: THbookFile.cxx:93
TTreeFormula * GetVar(Int_t i) const
Return the TTreeFormula corresponding to the i-th component of the request formula (where the compone...
Int_t GetFirst() const
Return first bin on the axis i.e.
Definition: TAxis.cxx:444
long long Long64_t
Definition: RtypesCore.h:69
virtual void SetMaximum(Double_t maximum=-1111)
Definition: TH1.h:399
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 ...
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:8051
tomato 3-D histogram with a float per channel (see TH1 documentation)}
Definition: TH3.h:271
virtual Double_t * GetRmax()=0
virtual Bool_t Sync()
Synchronize all the formulae.
virtual void SetEstimate(Long64_t n)
Set number of entries to estimate variable limits.
Double_t ** fVal
Definition: TSelectorDraw.h:57
float ymin
Definition: THbookFile.cxx:93
TString & ReplaceAll(const TString &s1, const TString &s2)
Definition: TString.h:635
TTreeFormula ** fVar
Definition: TSelectorDraw.h:39
TEntryListArray * fTreeElistArray
Definition: TSelectorDraw.h:43
R__EXTERN TStyle * gStyle
Definition: TStyle.h:418
virtual void ProcessFill(Long64_t entry)
Called in the entry loop for all entries accepted by Select.
Bool_t TestBit(UInt_t f) const
Definition: TObject.h:157
virtual void SetBins(Int_t nx, Double_t xmin, Double_t xmax)
Redefine x axis parameters.
Definition: TH1.cxx:7881
virtual TEntryList * GetEntryList()
Returns the entry list, set to this tree.
Definition: TTree.cxx:5419
Int_t fAction
Pointer to previously used histogram.
Definition: TSelectorDraw.h:45
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:120
THist< 1, float, THistStatContent, THistStatUncertainty > TH1F
Definition: THist.hxx:302
virtual Bool_t Enter(Long64_t entry, TTree *tree, Long64_t subentry)
Add entry #entry (, #subentry) to the list.
virtual TClass * EvalClass(Int_t oper) const
Evaluate the class of the operation oper.
Bool_t * fVarMultiple
[fSelectedRows]Local buffer for weights
Definition: TSelectorDraw.h:60
See TView3D.
Definition: TView.h:29
virtual void SetMinimum(Double_t minimum=-1111)
Definition: TH1.h:400
TTreeFormulaManager * fManager
Definition: TSelectorDraw.h:41
static THLimitsFinder * GetLimitsFinder()
Return pointer to the current finder.
#define gROOT
Definition: TROOT.h:364
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:137
void ToLower()
Change string to lower-case.
Definition: TString.cxx:1089
int Int_t
Definition: RtypesCore.h:41
bool Bool_t
Definition: RtypesCore.h:59
const Bool_t kFALSE
Definition: Rtypes.h:92
virtual TH1 * DrawCopy(Option_t *option="", const char *name_postfix="_copy") const
Copy this histogram and Draw in the current pad.
Definition: TH1.cxx:2897
virtual void Draw(Option_t *option="")
Default Draw method for all objects.
Definition: TObject.cxx:255
virtual void SetFillStyle(Style_t fstyle)
Set the fill area style.
Definition: TAttFill.h:44
Int_t * fNbins
Definition: TSelectorDraw.h:53
TObject * At(Int_t idx) const
Definition: TObjArray.h:167
virtual void * EvalObject(Int_t i=0)
Evaluate this treeformula.
Profile Historam.
Definition: TProfile.h:34
const char * Class
Definition: TXMLSetup.cxx:64
Long64_t fCurrentSubEntry
Definition: TSelectorDraw.h:64
virtual Int_t FindGoodLimits(TH1 *h, Double_t xmin, Double_t xmax)
compute the best axis limits for the X axis.
TH1 * fOldHistogram
pointer to Tree Event list array
Definition: TSelectorDraw.h:44
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:747
Int_t GetMultiplicity() const
Definition: TSelectorDraw.h:85
virtual Int_t GetNdim() const
Definition: TFormula.h:243
virtual Width_t GetLineWidth() const
Return the line width.
Definition: TAttLine.h:41
Iterator of linked list.
Definition: TList.h:187
void SetBit(UInt_t f, Bool_t set)
Set or unset the user status bits as specified in f.
Definition: TObject.cxx:739
virtual Bool_t CanExtendAllAxes() const
Returns true if all axes are extendable.
Definition: TH1.cxx:5960
virtual void Reset(Option_t *option="")
Reset this histogram: contents, errors, etc.
Definition: TH1.cxx:6418
virtual TObject * FindObject(const char *name) const
Find an object in this list using its name.
Definition: TList.cxx:497
if object in a list can be deleted
Definition: TObject.h:56
Int_t fValSize
[fSelectedRows][fDimension] Local buffer for the variables
Definition: TSelectorDraw.h:58
virtual Double_t GetBinUpEdge(Int_t bin) const
Return up edge of bin.
Definition: TAxis.cxx:514
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:751
virtual TEntryListArray * GetSubListForEntry(Long64_t entry, TTree *tree=0)
Return the list holding the subentries for the given entry or 0.
virtual Style_t GetMarkerStyle() const
Return the marker style.
Definition: TAttMarker.h:37
virtual Double_t GetWeight() const
Definition: TTree.h:470
virtual Style_t GetLineStyle() const
Return the line style.
Definition: TAttLine.h:40
virtual Int_t GetDimension() const
Definition: TH1.h:287
Int_t Fill(const Double_t *v)
Definition: TProfile2D.h:54
Double_t GetXmin() const
Definition: TAxis.h:139
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:2335
TTreeFormulaManager * GetManager() const
Definition: TTreeFormula.h:195
virtual Long64_t GetReadEntry() const
Definition: TTree.h:436
virtual const char * GetOption() const
Definition: TSelector.h:65
virtual void SetMarkerColor(Color_t mcolor=1)
Set the marker color.
Definition: TAttMarker.h:43
std::vector< std::vector< double > > Data
virtual Size_t GetMarkerSize() const
Return the marker size.
Definition: TAttMarker.h:38
TString fOption
Option given to TTree::Process.
Definition: TSelector.h:47
Double_t fWeight
[fDimension] Maxima of varexp columns
Definition: TSelectorDraw.h:56
TH1F * h1
Definition: legend1.C:5
Int_t GetColorPalette(Int_t i) const
Return color number i in current palette.
Definition: TStyle.cxx:735
TTreeFormula * fSelect
[fDimension] Array of pointers to variables formula
Definition: TSelectorDraw.h:40
The 3-D histogram classes derived from the 1-D histogram classes.
Definition: TH3.h:35
Used to pass a selection expression to the Tree drawing routine.
Definition: TTreeFormula.h:64
virtual TTree * GetTree() const
Definition: TTree.h:444
virtual Int_t GetMultiplicity() const
Definition: TTreeFormula.h:197
A specialized string object used for TTree selections.
Definition: TCut.h:27
Int_t fMultiplicity
Total number of histogram fills.
Definition: TSelectorDraw.h:48
TObject * fObject
! Current object if processing object (vs. TTree)
Definition: TSelector.h:48
virtual void SetLineColor(Color_t lcolor)
Set the line color.
Definition: TAttLine.h:46
virtual void Delete(Option_t *option="")
Delete this object.
Definition: TObject.cxx:229
virtual void Begin(TTree *tree)
Called every time a loop on the tree(s) starts.
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.
virtual Long64_t GetChainOffset() const
Definition: TTree.h:387
TObject * fTreeElist
Definition: TSelectorDraw.h:42
virtual void SetEstimate(Long64_t nentries=1000000)
Set number of entries to estimate variable limits.
Definition: TTree.cxx:8467
Service class for 2-Dim histogram classes.
Definition: TH2.h:36
UInt_t FirstSetBit(UInt_t startBit=0) const
Return position of first non null bit (starting from position 0 and up)
Definition: TBits.cxx:345
Class to manage histogram axis.
Definition: TAxis.h:36
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:42
virtual void SetStatus(Long64_t status)
Definition: TSelector.h:74
virtual void Abort(const char *why, EAbort what=kAbortProcess)
Abort processing.
Definition: TSelector.cxx:116
virtual ~TSelectorDraw()
Selector destructor.
tomato 2-D histogram with a float per channel (see TH1 documentation)}
Definition: TH2.h:255
virtual Int_t GetValue(const char *name, Int_t dflt)
Returns the integer value for a resource.
Definition: TEnv.cxx:496
virtual Bool_t InheritsFrom(const char *classname) const
Returns kTRUE if object inherits from class "classname".
Definition: TObject.cxx:488
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:2322
unsigned int UInt_t
Definition: RtypesCore.h:42
virtual Float_t GetTitleOffset() const
Definition: TAttAxis.h:47
virtual void Error(const char *method, const char *msgfmt,...) const
Issue error message.
Definition: TObject.cxx:925
Ssiz_t Length() const
Definition: TString.h:390
Double_t * fVmin
[fDimension] Number of bins per dimension
Definition: TSelectorDraw.h:54
virtual void UpdateFormulaLeaves()
This function is called TTreePlayer::UpdateFormulaLeaves, itself called by TChain::LoadTree when a ne...
Int_t GetN() const
Definition: TGraph.h:133
A TEventList object is a list of selected events (entries) in a TTree.
Definition: TEventList.h:33
TLine * l
Definition: textangle.C:4
The ROOT global object gROOT contains a list of all defined classes.
Definition: TClass.h:81
virtual void SetMarkerStyle(Style_t mstyle=1)
Set the marker style.
Definition: TAttMarker.h:45
virtual Long64_t GetEstimate() const
Definition: TTree.h:397
TAxis * GetYaxis()
Definition: TH1.h:325
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:116
don&#39;t draw stats box
Definition: TH1.h:172
Definition: graph.py:1
virtual Int_t Contains(Long64_t entry, TTree *tree=0)
Definition: TEntryList.cxx:519
Int_t GetNumberOfColors() const
Return number of colors in the color palette.
Definition: TStyle.cxx:801
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:46
virtual Double_t * GetRmin()=0
TGraphErrors * gr
Definition: legend1.C:25
Long64_t fDraw
Action type.
Definition: TSelectorDraw.h:46
A specialized TSelector for TTree::Draw.
Definition: TSelectorDraw.h:33
const Int_t kCustomHistogram
Long64_t fSelectedRows
Definition: TSelectorDraw.h:50
virtual Color_t GetLineColor() const
Return the line color.
Definition: TAttLine.h:39
void SetPoint(Int_t n, Double_t x, Double_t y, Double_t z)
Set point n to x, y, z.
TObject * UncheckedAt(Int_t i) const
Definition: TObjArray.h:91
virtual Int_t GetUpdate() const
Definition: TTree.h:447
Bool_t fCleanElist
Definition: TSelectorDraw.h:62
#define ClassImp(name)
Definition: Rtypes.h:279
virtual void ResetAbort()
Definition: TSelector.h:81
virtual void SetEntryList(TEntryList *list, Option_t *opt="")
Set an EntryList.
Definition: TTree.cxx:8403
double Double_t
Definition: RtypesCore.h:55
Bool_t fSelectMultiple
[fDimension] true if fVar[i] has a variable index
Definition: TSelectorDraw.h:61
Double_t * fVmax
[fDimension] Minima of varexp columns
Definition: TSelectorDraw.h:55
R__EXTERN TEnv * gEnv
Definition: TEnv.h:174
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
virtual Bool_t GetReapplyCut() const
Definition: TEntryList.h:81
virtual void ProcessFillObject(Long64_t entry)
Called in the entry loop for all entries accepted by Select.
virtual Color_t GetFillColor() const
Return the fill area color.
Definition: TAttFill.h:35
Bool_t Contains(const char *pat, ECaseCompare cmp=kExact) const
Definition: TString.h:567
The TH1 histogram class.
Definition: TH1.h:80
Double_t * fW
Definition: TSelectorDraw.h:59
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:560
Profile2D histograms are used to display the mean value of Z and its RMS for each cell in X...
Definition: TProfile2D.h:31
virtual void SetLineStyle(Style_t lstyle)
Set the line style.
Definition: TAttLine.h:48
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:36
THist< 3, float, THistStatContent, THistStatUncertainty > TH3F
Definition: THist.hxx:314
TAxis * GetZaxis()
Definition: TH1.h:326
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:5973
Mother of all ROOT objects.
Definition: TObject.h:37
virtual Int_t FindFixBin(Double_t x) const
Find bin number corresponding to abscissa x.
Definition: TAxis.cxx:405
Container of bits.
Definition: TBits.h:33
Long64_t fOldEstimate
Definition: TSelectorDraw.h:51
virtual const char * GetTitle() const
Returns title of object.
Definition: TObject.cxx:460
virtual void TakeEstimate()
Estimate limits for 1-D, 2-D or 3-D objects.
virtual Double_t GetBinWidth(Int_t bin) const
Return bin width.
Definition: TAxis.cxx:526
virtual void SetPoint(Int_t i, Double_t x, Double_t y)
Set x and y values for point number i.
Definition: TGraph.cxx:2150
A 3D polymarker.
Definition: TPolyMarker3D.h:40
TList * fInput
List of objects available during processing.
Definition: TSelector.h:49
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:64
virtual void Add(TObject *obj)
Definition: TList.h:81
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:3228
virtual void Sumw2(Bool_t flag=kTRUE)
Create structure to store sum of squares of weights.
Definition: TH1.cxx:8130
A Graph is a graphics object made of two arrays X and Y with npoints each.
Definition: TGraph.h:53
Int_t fNfill
Last entry loop number when object was drawn.
Definition: TSelectorDraw.h:47
#define gPad
Definition: TVirtualPad.h:289
virtual void ClearFormula()
Delete internal buffers.
R__EXTERN Int_t gDebug
Definition: Rtypes.h:128
virtual UInt_t SplitNames(const TString &varexp, std::vector< TString > &names)
Build Index array for names in varexp.
Definition: tree.py:1
virtual void SetEntries(Double_t n)
Definition: TH1.h:387
A TTree object has a header with a name and a title.
Definition: TTree.h:98
#define gDirectory
Definition: TDirectory.h:221
static void InitializeColors()
Initialize colors used by the TCanvas based graphics (via TColor objects).
Definition: TColor.cxx:1048
void SetQuickLoad(Bool_t quick)
Definition: TTreeFormula.h:213
void ResetBit(UInt_t f)
Definition: TObject.h:156
TEventList * GetEventList() const
Definition: TTree.h:403
virtual Int_t GetNdata(Bool_t forceLoadDim=kFALSE)
Return number of available instances in the formulas.
virtual Color_t GetMarkerColor() const
Return the marker color.
Definition: TAttMarker.h:36
virtual Style_t GetFillStyle() const
Return the fill area style.
Definition: TAttFill.h:36
Int_t GetNbins() const
Definition: TAxis.h:127
virtual const char * GetName() const
Returns name of object.
Definition: TObject.cxx:416
const Bool_t kTRUE
Definition: Rtypes.h:91
Int_t Fill(Double_t)
Invalid Fill method.
Definition: TH2.cxx:292
virtual void SetTitle(const char *title="")
Set the title of the TNamed.
Definition: TNamed.cxx:155
TList * GetListOfFunctions() const
Definition: TH1.h:248
THist< 2, float, THistStatContent, THistStatUncertainty > TH2F
Definition: THist.hxx:308
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:2123
A List of entry numbers in a TTree or TChain.
Definition: TEntryList.h:27
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
Double_t GetXmax() const
Definition: TAxis.h:140
virtual Int_t GetLastPoint() const
Definition: TPolyMarker3D.h:64
virtual Int_t GetMultiplicity() const
virtual void SetStats(Bool_t stats=kTRUE)
Set statistics option on/off.
Definition: TH1.cxx:8101
virtual void ResetLoading()
Tell the formula that we are going to request a new entry.
virtual void Warning(const char *method, const char *msgfmt,...) const
Issue warning message.
Definition: TObject.cxx:911
TAxis * GetXaxis()
Definition: TH1.h:324
virtual const char * GetTitle() const
Returns title of object.
Definition: TNamed.h:52
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).
const char * Data() const
Definition: TString.h:349