{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "fb6a587d",
   "metadata": {},
   "source": [
    "# rf107_plotstyles\n",
    "Basic functionality: various plotting styles of data, functions in a RooPlot\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "**Author:** Wouter Verkerke  \n",
    "<i><small>This notebook tutorial was automatically generated with <a href= \"https://github.com/root-project/root/blob/master/documentation/doxygen/converttonotebook.py\">ROOTBOOK-izer</a> from the macro found in the ROOT repository  on Tuesday, May 19, 2026 at 08:29 PM.</small></i>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "ad7034f3",
   "metadata": {
    "collapsed": false,
    "execution": {
     "iopub.execute_input": "2026-05-19T20:29:03.929602Z",
     "iopub.status.busy": "2026-05-19T20:29:03.929496Z",
     "iopub.status.idle": "2026-05-19T20:29:03.943176Z",
     "shell.execute_reply": "2026-05-19T20:29:03.942742Z"
    }
   },
   "outputs": [],
   "source": [
    "%%cpp -d\n",
    "#include \"RooRealVar.h\"\n",
    "#include \"RooDataSet.h\"\n",
    "#include \"RooGaussian.h\"\n",
    "#include \"TCanvas.h\"\n",
    "#include \"TAxis.h\"\n",
    "#include \"RooPlot.h\"\n",
    "using namespace RooFit;"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "93c95428",
   "metadata": {},
   "source": [
    "Setup model\n",
    "---------------------"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "04d21d29",
   "metadata": {},
   "source": [
    "Create observables"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "f6be0609",
   "metadata": {
    "collapsed": false,
    "execution": {
     "iopub.execute_input": "2026-05-19T20:29:03.944435Z",
     "iopub.status.busy": "2026-05-19T20:29:03.944322Z",
     "iopub.status.idle": "2026-05-19T20:29:04.155881Z",
     "shell.execute_reply": "2026-05-19T20:29:04.155297Z"
    }
   },
   "outputs": [],
   "source": [
    "RooRealVar x(\"x\", \"x\", -10, 10);"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "815b66ae",
   "metadata": {},
   "source": [
    "Create Gaussian"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "5cbe771b",
   "metadata": {
    "collapsed": false,
    "execution": {
     "iopub.execute_input": "2026-05-19T20:29:04.157636Z",
     "iopub.status.busy": "2026-05-19T20:29:04.157486Z",
     "iopub.status.idle": "2026-05-19T20:29:04.364977Z",
     "shell.execute_reply": "2026-05-19T20:29:04.364421Z"
    }
   },
   "outputs": [],
   "source": [
    "RooRealVar sigma(\"sigma\", \"sigma\", 3, 0.1, 10);\n",
    "RooRealVar mean(\"mean\", \"mean\", -3, -10, 10);\n",
    "RooGaussian gauss(\"gauss\", \"gauss\", x, mean, sigma);"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "768c4fb0",
   "metadata": {},
   "source": [
    "Generate a sample of 100 events with sigma=3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "e7db0701",
   "metadata": {
    "collapsed": false,
    "execution": {
     "iopub.execute_input": "2026-05-19T20:29:04.366564Z",
     "iopub.status.busy": "2026-05-19T20:29:04.366449Z",
     "iopub.status.idle": "2026-05-19T20:29:04.573966Z",
     "shell.execute_reply": "2026-05-19T20:29:04.573516Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "input_line_51:2:2: warning: 'data' shadows a declaration with the same name in the 'std' namespace; use '::data' to reference this declaration\n",
      " std::unique_ptr<RooDataSet> data{gauss.generate(x, 100)};\n",
      " ^\n"
     ]
    }
   ],
   "source": [
    "std::unique_ptr<RooDataSet> data{gauss.generate(x, 100)};"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4f133229",
   "metadata": {},
   "source": [
    "Fit pdf to data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "7c3c2377",
   "metadata": {
    "collapsed": false,
    "execution": {
     "iopub.execute_input": "2026-05-19T20:29:04.575407Z",
     "iopub.status.busy": "2026-05-19T20:29:04.575284Z",
     "iopub.status.idle": "2026-05-19T20:29:04.783488Z",
     "shell.execute_reply": "2026-05-19T20:29:04.783031Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "input_line_52:2:15: error: reference to 'data' is ambiguous\n",
      " gauss.fitTo(*data, PrintLevel(-1));\n",
      "              ^\n",
      "input_line_51:2:30: note: candidate found by name lookup is 'data'\n",
      " std::unique_ptr<RooDataSet> data{gauss.generate(x, 100)};\n",
      "                             ^\n",
      "/usr/lib/gcc/x86_64-redhat-linux/14/../../../../include/c++/14/bits/range_access.h:344:5: note: candidate found by name lookup is 'std::data'\n",
      "    data(initializer_list<_Tp> __il) noexcept\n",
      "    ^\n",
      "/usr/lib/gcc/x86_64-redhat-linux/14/../../../../include/c++/14/bits/range_access.h:312:5: note: candidate found by name lookup is 'std::data'\n",
      "    data(_Container& __cont) noexcept(noexcept(__cont.data()))\n",
      "    ^\n",
      "/usr/lib/gcc/x86_64-redhat-linux/14/../../../../include/c++/14/bits/range_access.h:323:5: note: candidate found by name lookup is 'std::data'\n",
      "    data(const _Container& __cont) noexcept(noexcept(__cont.data()))\n",
      "    ^\n",
      "/usr/lib/gcc/x86_64-redhat-linux/14/../../../../include/c++/14/bits/range_access.h:334:5: note: candidate found by name lookup is 'std::data'\n",
      "    data(_Tp (&__array)[_Nm]) noexcept\n",
      "    ^\n"
     ]
    }
   ],
   "source": [
    "gauss.fitTo(*data, PrintLevel(-1));"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "33082058",
   "metadata": {},
   "source": [
    "Make plot frames\n",
    "-------------------------------"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a9dd0152",
   "metadata": {},
   "source": [
    "Make four plot frames to demonstrate various plotting features"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "762539a6",
   "metadata": {
    "collapsed": false,
    "execution": {
     "iopub.execute_input": "2026-05-19T20:29:04.784917Z",
     "iopub.status.busy": "2026-05-19T20:29:04.784792Z",
     "iopub.status.idle": "2026-05-19T20:29:04.992102Z",
     "shell.execute_reply": "2026-05-19T20:29:04.991576Z"
    }
   },
   "outputs": [],
   "source": [
    "RooPlot *frame1 = x.frame(Name(\"xframe\"), Title(\"Red Curve / SumW2 Histo errors\"), Bins(20));\n",
    "RooPlot *frame2 = x.frame(Name(\"xframe\"), Title(\"Dashed Curve / No XError bars\"), Bins(20));\n",
    "RooPlot *frame3 = x.frame(Name(\"xframe\"), Title(\"Filled Curve / Blue Histo\"), Bins(20));\n",
    "RooPlot *frame4 = x.frame(Name(\"xframe\"), Title(\"Partial Range / Filled Bar chart\"), Bins(20));"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9f88deb8",
   "metadata": {},
   "source": [
    "Data plotting styles\n",
    "---------------------------------------"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f870cd12",
   "metadata": {},
   "source": [
    "Use sqrt(sum(weights^2)) error instead of Poisson errors"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "c0977230",
   "metadata": {
    "collapsed": false,
    "execution": {
     "iopub.execute_input": "2026-05-19T20:29:04.994254Z",
     "iopub.status.busy": "2026-05-19T20:29:04.994130Z",
     "iopub.status.idle": "2026-05-19T20:29:05.202305Z",
     "shell.execute_reply": "2026-05-19T20:29:05.201866Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "input_line_54:2:2: error: reference to 'data' is ambiguous\n",
      " data->plotOn(frame1, DataError(RooAbsData::SumW2));\n",
      " ^\n",
      "input_line_51:2:30: note: candidate found by name lookup is 'data'\n",
      " std::unique_ptr<RooDataSet> data{gauss.generate(x, 100)};\n",
      "                             ^\n",
      "/usr/lib/gcc/x86_64-redhat-linux/14/../../../../include/c++/14/bits/range_access.h:344:5: note: candidate found by name lookup is 'std::data'\n",
      "    data(initializer_list<_Tp> __il) noexcept\n",
      "    ^\n",
      "/usr/lib/gcc/x86_64-redhat-linux/14/../../../../include/c++/14/bits/range_access.h:312:5: note: candidate found by name lookup is 'std::data'\n",
      "    data(_Container& __cont) noexcept(noexcept(__cont.data()))\n",
      "    ^\n",
      "/usr/lib/gcc/x86_64-redhat-linux/14/../../../../include/c++/14/bits/range_access.h:323:5: note: candidate found by name lookup is 'std::data'\n",
      "    data(const _Container& __cont) noexcept(noexcept(__cont.data()))\n",
      "    ^\n",
      "/usr/lib/gcc/x86_64-redhat-linux/14/../../../../include/c++/14/bits/range_access.h:334:5: note: candidate found by name lookup is 'std::data'\n",
      "    data(_Tp (&__array)[_Nm]) noexcept\n",
      "    ^\n"
     ]
    }
   ],
   "source": [
    "data->plotOn(frame1, DataError(RooAbsData::SumW2));"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6385f0d6",
   "metadata": {},
   "source": [
    "Remove horizontal error bars"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "ce7c1ff1",
   "metadata": {
    "collapsed": false,
    "execution": {
     "iopub.execute_input": "2026-05-19T20:29:05.203802Z",
     "iopub.status.busy": "2026-05-19T20:29:05.203683Z",
     "iopub.status.idle": "2026-05-19T20:29:05.411835Z",
     "shell.execute_reply": "2026-05-19T20:29:05.411348Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "input_line_55:2:2: error: reference to 'data' is ambiguous\n",
      " data->plotOn(frame2, XErrorSize(0));\n",
      " ^\n",
      "input_line_51:2:30: note: candidate found by name lookup is 'data'\n",
      " std::unique_ptr<RooDataSet> data{gauss.generate(x, 100)};\n",
      "                             ^\n",
      "/usr/lib/gcc/x86_64-redhat-linux/14/../../../../include/c++/14/bits/range_access.h:344:5: note: candidate found by name lookup is 'std::data'\n",
      "    data(initializer_list<_Tp> __il) noexcept\n",
      "    ^\n",
      "/usr/lib/gcc/x86_64-redhat-linux/14/../../../../include/c++/14/bits/range_access.h:312:5: note: candidate found by name lookup is 'std::data'\n",
      "    data(_Container& __cont) noexcept(noexcept(__cont.data()))\n",
      "    ^\n",
      "/usr/lib/gcc/x86_64-redhat-linux/14/../../../../include/c++/14/bits/range_access.h:323:5: note: candidate found by name lookup is 'std::data'\n",
      "    data(const _Container& __cont) noexcept(noexcept(__cont.data()))\n",
      "    ^\n",
      "/usr/lib/gcc/x86_64-redhat-linux/14/../../../../include/c++/14/bits/range_access.h:334:5: note: candidate found by name lookup is 'std::data'\n",
      "    data(_Tp (&__array)[_Nm]) noexcept\n",
      "    ^\n"
     ]
    }
   ],
   "source": [
    "data->plotOn(frame2, XErrorSize(0));"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7d6185d4",
   "metadata": {},
   "source": [
    "Blue markers and error bors"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "a1ac0396",
   "metadata": {
    "collapsed": false,
    "execution": {
     "iopub.execute_input": "2026-05-19T20:29:05.413281Z",
     "iopub.status.busy": "2026-05-19T20:29:05.413161Z",
     "iopub.status.idle": "2026-05-19T20:29:05.621253Z",
     "shell.execute_reply": "2026-05-19T20:29:05.620785Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "input_line_56:2:2: error: reference to 'data' is ambiguous\n",
      " data->plotOn(frame3, MarkerColor(kBlue), LineColor(kBlue));\n",
      " ^\n",
      "input_line_51:2:30: note: candidate found by name lookup is 'data'\n",
      " std::unique_ptr<RooDataSet> data{gauss.generate(x, 100)};\n",
      "                             ^\n",
      "/usr/lib/gcc/x86_64-redhat-linux/14/../../../../include/c++/14/bits/range_access.h:344:5: note: candidate found by name lookup is 'std::data'\n",
      "    data(initializer_list<_Tp> __il) noexcept\n",
      "    ^\n",
      "/usr/lib/gcc/x86_64-redhat-linux/14/../../../../include/c++/14/bits/range_access.h:312:5: note: candidate found by name lookup is 'std::data'\n",
      "    data(_Container& __cont) noexcept(noexcept(__cont.data()))\n",
      "    ^\n",
      "/usr/lib/gcc/x86_64-redhat-linux/14/../../../../include/c++/14/bits/range_access.h:323:5: note: candidate found by name lookup is 'std::data'\n",
      "    data(const _Container& __cont) noexcept(noexcept(__cont.data()))\n",
      "    ^\n",
      "/usr/lib/gcc/x86_64-redhat-linux/14/../../../../include/c++/14/bits/range_access.h:334:5: note: candidate found by name lookup is 'std::data'\n",
      "    data(_Tp (&__array)[_Nm]) noexcept\n",
      "    ^\n"
     ]
    }
   ],
   "source": [
    "data->plotOn(frame3, MarkerColor(kBlue), LineColor(kBlue));"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d74245ca",
   "metadata": {},
   "source": [
    "Filled bar chart"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "b4b0fbbd",
   "metadata": {
    "collapsed": false,
    "execution": {
     "iopub.execute_input": "2026-05-19T20:29:05.622763Z",
     "iopub.status.busy": "2026-05-19T20:29:05.622642Z",
     "iopub.status.idle": "2026-05-19T20:29:05.830834Z",
     "shell.execute_reply": "2026-05-19T20:29:05.830356Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "input_line_57:2:2: error: reference to 'data' is ambiguous\n",
      " data->plotOn(frame4, DrawOption(\"B\"), DataError(RooAbsData::None), XErrorSize(0), FillColor(kGray));\n",
      " ^\n",
      "input_line_51:2:30: note: candidate found by name lookup is 'data'\n",
      " std::unique_ptr<RooDataSet> data{gauss.generate(x, 100)};\n",
      "                             ^\n",
      "/usr/lib/gcc/x86_64-redhat-linux/14/../../../../include/c++/14/bits/range_access.h:344:5: note: candidate found by name lookup is 'std::data'\n",
      "    data(initializer_list<_Tp> __il) noexcept\n",
      "    ^\n",
      "/usr/lib/gcc/x86_64-redhat-linux/14/../../../../include/c++/14/bits/range_access.h:312:5: note: candidate found by name lookup is 'std::data'\n",
      "    data(_Container& __cont) noexcept(noexcept(__cont.data()))\n",
      "    ^\n",
      "/usr/lib/gcc/x86_64-redhat-linux/14/../../../../include/c++/14/bits/range_access.h:323:5: note: candidate found by name lookup is 'std::data'\n",
      "    data(const _Container& __cont) noexcept(noexcept(__cont.data()))\n",
      "    ^\n",
      "/usr/lib/gcc/x86_64-redhat-linux/14/../../../../include/c++/14/bits/range_access.h:334:5: note: candidate found by name lookup is 'std::data'\n",
      "    data(_Tp (&__array)[_Nm]) noexcept\n",
      "    ^\n"
     ]
    }
   ],
   "source": [
    "data->plotOn(frame4, DrawOption(\"B\"), DataError(RooAbsData::None), XErrorSize(0), FillColor(kGray));"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0d2e6fbb",
   "metadata": {},
   "source": [
    "Function plotting styles\n",
    "-----------------------------------------------"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "68d6a6b0",
   "metadata": {},
   "source": [
    "Change line color to red"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "e4e483a8",
   "metadata": {
    "collapsed": false,
    "execution": {
     "iopub.execute_input": "2026-05-19T20:29:05.832287Z",
     "iopub.status.busy": "2026-05-19T20:29:05.832168Z",
     "iopub.status.idle": "2026-05-19T20:29:06.039520Z",
     "shell.execute_reply": "2026-05-19T20:29:06.038953Z"
    }
   },
   "outputs": [],
   "source": [
    "gauss.plotOn(frame1, LineColor(kRed));"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7c24d5ec",
   "metadata": {},
   "source": [
    "Change line style to dashed"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "7b5a239b",
   "metadata": {
    "collapsed": false,
    "execution": {
     "iopub.execute_input": "2026-05-19T20:29:06.041172Z",
     "iopub.status.busy": "2026-05-19T20:29:06.041047Z",
     "iopub.status.idle": "2026-05-19T20:29:06.248774Z",
     "shell.execute_reply": "2026-05-19T20:29:06.248274Z"
    }
   },
   "outputs": [],
   "source": [
    "gauss.plotOn(frame2, LineStyle(kDashed));"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d99bfc71",
   "metadata": {},
   "source": [
    "Filled shapes in green color"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "146b615c",
   "metadata": {
    "collapsed": false,
    "execution": {
     "iopub.execute_input": "2026-05-19T20:29:06.250542Z",
     "iopub.status.busy": "2026-05-19T20:29:06.250421Z",
     "iopub.status.idle": "2026-05-19T20:29:06.458121Z",
     "shell.execute_reply": "2026-05-19T20:29:06.457472Z"
    }
   },
   "outputs": [],
   "source": [
    "gauss.plotOn(frame3, DrawOption(\"F\"), FillColor(kOrange), MoveToBack());"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "4c0a0326",
   "metadata": {
    "collapsed": false,
    "execution": {
     "iopub.execute_input": "2026-05-19T20:29:06.459829Z",
     "iopub.status.busy": "2026-05-19T20:29:06.459708Z",
     "iopub.status.idle": "2026-05-19T20:29:06.667178Z",
     "shell.execute_reply": "2026-05-19T20:29:06.666706Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'plotRange' created with bounds [-8,3]\n"
     ]
    }
   ],
   "source": [
    "gauss.plotOn(frame4, Range(-8, 3), LineColor(kMagenta));\n",
    "\n",
    "TCanvas *c = new TCanvas(\"rf107_plotstyles\", \"rf107_plotstyles\", 800, 800);\n",
    "c->Divide(2, 2);\n",
    "c->cd(1);\n",
    "gPad->SetLeftMargin(0.15);\n",
    "frame1->GetYaxis()->SetTitleOffset(1.6);\n",
    "frame1->Draw();\n",
    "c->cd(2);\n",
    "gPad->SetLeftMargin(0.15);\n",
    "frame2->GetYaxis()->SetTitleOffset(1.6);\n",
    "frame2->Draw();\n",
    "c->cd(3);\n",
    "gPad->SetLeftMargin(0.15);\n",
    "frame3->GetYaxis()->SetTitleOffset(1.6);\n",
    "frame3->Draw();\n",
    "c->cd(4);\n",
    "gPad->SetLeftMargin(0.15);\n",
    "frame4->GetYaxis()->SetTitleOffset(1.6);\n",
    "frame4->Draw();"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5b7e692d",
   "metadata": {},
   "source": [
    "Draw all canvases "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "be8529ff",
   "metadata": {
    "collapsed": false,
    "execution": {
     "iopub.execute_input": "2026-05-19T20:29:06.680152Z",
     "iopub.status.busy": "2026-05-19T20:29:06.680021Z",
     "iopub.status.idle": "2026-05-19T20:29:06.907931Z",
     "shell.execute_reply": "2026-05-19T20:29:06.907420Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "\n",
       "<div id=\"root_plot_1779222546866\" style=\"width: 800px; height: 800px; position: relative\">\n",
       "</div>\n",
       "\n",
       "</div>\n",
       "<script>\n",
       "   function process_root_plot_1779222546866() {\n",
       "      function execCode(Core) {\n",
       "         Core.settings.HandleKeys = false;\n",
       "         \n",
       "Core.unzipJSON(46923,'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').then(json => {\n",
       "   const obj = Core.parse(json);\n",
       "   Core.draw('root_plot_1779222546866', obj, '');\n",
       "});\n",
       "\n",
       "      }\n",
       "      const servers = ['/static/', 'https://root.cern/js/7.11.0/', 'https://jsroot.gsi.de/7.11.0/'],\n",
       "            path = 'build/jsroot';\n",
       "      if (typeof JSROOT !== 'undefined')\n",
       "         execCode(JSROOT);\n",
       "      else if (typeof requirejs !== 'undefined') {\n",
       "         servers.forEach((s,i) => { servers[i] = s + path; });\n",
       "         requirejs.config({ paths: { 'jsroot' : servers } })(['jsroot'],  execCode);\n",
       "      } else {\n",
       "         const config = document.getElementById('jupyter-config-data');\n",
       "         if (config)\n",
       "            servers[0] = (JSON.parse(config.innerHTML || '{}')?.baseUrl || '/') + 'static/';\n",
       "         else\n",
       "            servers.shift();\n",
       "         function loadJsroot() {\n",
       "            return !servers.length ? 0 : import(servers.shift() + path + '.js').catch(loadJsroot).then(() => execCode(JSROOT));\n",
       "         }\n",
       "         loadJsroot();\n",
       "      }\n",
       "   }\n",
       "   process_root_plot_1779222546866();\n",
       "</script>\n"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%jsroot on\n",
    "gROOT->GetListOfCanvases()->Draw()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "ROOT C++",
   "language": "c++",
   "name": "root"
  },
  "language_info": {
   "codemirror_mode": "text/x-c++src",
   "file_extension": ".C",
   "mimetype": " text/x-c++src",
   "name": "c++"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}