ROOT_Example.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Baisc ROOT Notebook Example\n",
    "\n",
    "This is a simple ROOT-based Jupyter notebook to demonstrate some very simple/basic ROOT commands.\n",
    "\n",
    "This notebook uses the Python kernel, so by default you're in a more Python-based environment. Note that we will use some of ROOT's `%%cpp` magics to make things C++ style inside the Python environment.\n",
    "\n",
    "Also, note that this is a _Markdown_ cell in the notebook. You can of course put comments in the code blocks too, but this is a nice way to add a little bit more sophiscticated documentation."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Basic Python Setup\n",
    "\n",
    "First, we need to do some basic setup for Python. To use PyROOT, we still need to import it:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Welcome to JupyROOT 6.12/06\n"
     ]
    }
   ],
   "source": [
    "#import ROOT into python\n",
    "import ROOT"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Hello World\n",
    "\n",
    "Unfortunately, we are forced by convention to do a simple \"Hello World\" programming first. Let's do that in Python first:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Hello World\n",
      "Hello Wes!\n"
     ]
    }
   ],
   "source": [
    "#some very simple python first.\n",
    "\n",
    "print 'Hello World'\n",
    "\n",
    "myname = 'Wes'\n",
    "print 'Hello %s!' % myname"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "OK, simple. Now, ROOT kernels allow us to execute C/C++ code in the same notebook. We just need to begin the cell with the \"magic\" command `%%cpp`. That tells Jupyter to interpret the cell as C++ and use ROOT's ACLiC compiler to process it. So, doing the same thing now, but in C++:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Hello World\n",
      "Hello Wesley!\n"
     ]
    }
   ],
   "source": [
    "%%cpp\n",
    "\n",
    "//very simple again, but now C++\n",
    "\n",
    "std::cout << \"Hello World\" << std::endl;\n",
    "\n",
    "std::string myname_str=\"Wesley\";\n",
    "std::cout << \"Hello \" << myname_str << \"!\" << std::endl;"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "And then, in the very next cell, we can switch back to python."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "And...back to python!\n"
     ]
    }
   ],
   "source": [
    "print 'And...back to python!'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Note that this is all integrated together. We can print the string we made in C++ in python, it was just done in the \"ROOT\" environment/module, so we need to specify that."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "What was your C++ name? Wesley\n"
     ]
    }
   ],
   "source": [
    "print 'What was your C++ name? %s' % ROOT.myname_str"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Unfortunately/understandably, it doesn't really work so well the other way for strings. Or I don't know how to do that yet at least. But let's move on."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Histograms\n",
    "\n",
    "To show a little bit of actual ROOT, let's make and draw some histograms. We'll do this both in Python (via PyROOT) and in the C++ magics."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "#(1) Make a histogram with 100 bins from -5 to 5\n",
    "#(2) Fill that histogram with 100 data points sampled from a Gaussian distribution\n",
    "hist_py = ROOT.TH1F(\"hist_py\",\"My histogram\",100,-5,5)\n",
    "hist_py.FillRandom(\"gaus\",100)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "When we draw things in the notebook, we have to be a little more explicit about what we're doing. First, we need to explicitly create the canvas to draw in:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "canvas = ROOT.TCanvas(\"canvas\",\"My canvas\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Then we can draw the histogram, and then draw the canvas. Note: you need to make sure you're in the canvas you want before you draw the histogram (that's true by default if we just created the canvas like we did above, but it's good practice to ensure it by doing the `cd()` command)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "canvas.cd()\n",
    "hist_py.Draw()\n",
    "canvas.Draw()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "There's a nifty javascript utility that can be enabled to allow you to be more interactive with your plots. You can enable that per-cell with the `%jsroot on` magic command, or you can enable it globally in python by doing the following:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "<div id=\"root_plot_1\"\n",
       "     style=\"width: 696px; height: 472px\">\n",
       "</div>\n",
       "\n",
       "<script>\n",
       " requirejs.config({\n",
       "     paths: {\n",
       "       'JSRootCore' : 'https://root.cern.ch/js/notebook//scripts/JSRootCore',\n",
       "     }\n",
       "   });\n",
       " require(['JSRootCore'],\n",
       "     function(Core) {\n",
       "       var obj = Core.JSONR_unref({\"_typename\":\"TCanvas\",\"fUniqueID\":0,\"fBits\":53673992,\"fLineColor\":1,\"fLineStyle\":1,\"fLineWidth\":1,\"fFillColor\":0,\"fFillStyle\":1001,\"fLeftMargin\":0.1,\"fRightMargin\":0.1,\"fBottomMargin\":0.1,\"fTopMargin\":0.1,\"fXfile\":2,\"fYfile\":2,\"fAfile\":1,\"fXstat\":0.99,\"fYstat\":0.99,\"fAstat\":2,\"fFrameFillColor\":0,\"fFrameLineColor\":1,\"fFrameFillStyle\":1001,\"fFrameLineStyle\":1,\"fFrameLineWidth\":1,\"fFrameBorderSize\":1,\"fFrameBorderMode\":0,\"fX1\":-6.25000009313226,\"fY1\":-0.787500058673326,\"fX2\":6.25000009313226,\"fY2\":7.08750005867333,\"fXtoAbsPixelk\":348.00005,\"fXtoPixelk\":348.00005,\"fXtoPixel\":55.6799991703033,\"fYtoAbsPixelk\":424.800047186661,\"fYtoPixelk\":424.800047186661,\"fYtoPixel\":-59.9365070433843,\"fUtoAbsPixelk\":5e-5,\"fUtoPixelk\":5e-5,\"fUtoPixel\":696,\"fVtoAbsPixelk\":472.00005,\"fVtoPixelk\":472,\"fVtoPixel\":-472,\"fAbsPixeltoXk\":-6.25000009313226,\"fPixeltoXk\":-6.25000009313226,\"fPixeltoX\":0.017959770382564,\"fAbsPixeltoYk\":7.08750005867333,\"fPixeltoYk\":-0.787500058673326,\"fPixeltoY\":-0.0166843222825141,\"fXlowNDC\":0,\"fYlowNDC\":0,\"fXUpNDC\":0,\"fYUpNDC\":0,\"fWNDC\":1,\"fHNDC\":1,\"fAbsXlowNDC\":0,\"fAbsYlowNDC\":0,\"fAbsWNDC\":1,\"fAbsHNDC\":1,\"fUxmin\":-5,\"fUymin\":0,\"fUxmax\":5,\"fUymax\":6.3,\"fTheta\":30,\"fPhi\":30,\"fAspectRatio\":0,\"fNumber\":0,\"fTickx\":0,\"fTicky\":0,\"fLogx\":0,\"fLogy\":0,\"fLogz\":0,\"fPadPaint\":0,\"fCrosshair\":0,\"fCrosshairPos\":0,\"fBorderSize\":2,\"fBorderMode\":0,\"fModified\":false,\"fGridx\":false,\"fGridy\":false,\"fAbsCoord\":false,\"fEditable\":true,\"fFixedAspectRatio\":false,\"fPrimitives\":{\"_typename\":\"TList\",\"name\":\"TList\",\"arr\":[{\"_typename\":\"TFrame\",\"fUniqueID\":0,\"fBits\":50331656,\"fLineColor\":1,\"fLineStyle\":1,\"fLineWidth\":1,\"fFillColor\":0,\"fFillStyle\":1001,\"fX1\":-5,\"fY1\":0,\"fX2\":5,\"fY2\":6.3,\"fBorderSize\":1,\"fBorderMode\":0},{\"_typename\":\"TH1F\",\"fUniqueID\":0,\"fBits\":50331656,\"fName\":\"hist_py\",\"fTitle\":\"My histogram\",\"fLineColor\":602,\"fLineStyle\":1,\"fLineWidth\":1,\"fFillColor\":0,\"fFillStyle\":1001,\"fMarkerColor\":1,\"fMarkerStyle\":1,\"fMarkerSize\":1,\"fNcells\":102,\"fXaxis\":{\"_typename\":\"TAxis\",\"fUniqueID\":0,\"fBits\":50331648,\"fName\":\"xaxis\",\"fTitle\":\"\",\"fNdivisions\":510,\"fAxisColor\":1,\"fLabelColor\":1,\"fLabelFont\":42,\"fLabelOffset\":0.005,\"fLabelSize\":0.035,\"fTickLength\":0.03,\"fTitleOffset\":1,\"fTitleSize\":0.035,\"fTitleColor\":1,\"fTitleFont\":42,\"fNbins\":100,\"fXmin\":-5,\"fXmax\":5,\"fXbins\":[],\"fFirst\":0,\"fLast\":0,\"fBits2\":0,\"fTimeDisplay\":false,\"fTimeFormat\":\"\",\"fLabels\":null,\"fModLabs\":null},\"fYaxis\":{\"_typename\":\"TAxis\",\"fUniqueID\":0,\"fBits\":50331648,\"fName\":\"yaxis\",\"fTitle\":\"\",\"fNdivisions\":510,\"fAxisColor\":1,\"fLabelColor\":1,\"fLabelFont\":42,\"fLabelOffset\":0.005,\"fLabelSize\":0.035,\"fTickLength\":0.03,\"fTitleOffset\":0,\"fTitleSize\":0.035,\"fTitleColor\":1,\"fTitleFont\":42,\"fNbins\":1,\"fXmin\":0,\"fXmax\":1,\"fXbins\":[],\"fFirst\":0,\"fLast\":0,\"fBits2\":0,\"fTimeDisplay\":false,\"fTimeFormat\":\"\",\"fLabels\":null,\"fModLabs\":null},\"fZaxis\":{\"_typename\":\"TAxis\",\"fUniqueID\":0,\"fBits\":50331648,\"fName\":\"zaxis\",\"fTitle\":\"\",\"fNdivisions\":510,\"fAxisColor\":1,\"fLabelColor\":1,\"fLabelFont\":42,\"fLabelOffset\":0.005,\"fLabelSize\":0.035,\"fTickLength\":0.03,\"fTitleOffset\":1,\"fTitleSize\":0.035,\"fTitleColor\":1,\"fTitleFont\":42,\"fNbins\":1,\"fXmin\":0,\"fXmax\":1,\"fXbins\":[],\"fFirst\":0,\"fLast\":0,\"fBits2\":0,\"fTimeDisplay\":false,\"fTimeFormat\":\"\",\"fLabels\":null,\"fModLabs\":null},\"fBarOffset\":0,\"fBarWidth\":1000,\"fEntries\":100,\"fTsumw\":100,\"fTsumw2\":100,\"fTsumwx\":-15.8079761694916,\"fTsumwx2\":82.8811991808087,\"fMaximum\":-1111,\"fMinimum\":-1111,\"fNormFactor\":0,\"fContour\":[],\"fSumw2\":[],\"fOption\":\"\",\"fFunctions\":{\"_typename\":\"TList\",\"name\":\"TList\",\"arr\":[{\"_typename\":\"TPaveStats\",\"fUniqueID\":0,\"fBits\":50331657,\"fLineColor\":1,\"fLineStyle\":1,\"fLineWidth\":1,\"fFillColor\":0,\"fFillStyle\":1001,\"fX1\":3.50000025331975,\"fY1\":5.31562507920899,\"fX2\":6.00000032782556,\"fY2\":6.57562506982126,\"fX1NDC\":0.780000016093254,\"fY1NDC\":0.775000005960464,\"fX2NDC\":0.980000019073486,\"fY2NDC\":0.935000002384186,\"fBorderSize\":1,\"fInit\":1,\"fShadowColor\":1,\"fCornerRadius\":0,\"fOption\":\"brNDC\",\"fName\":\"stats\",\"fTextAngle\":0,\"fTextSize\":0,\"fTextAlign\":12,\"fTextColor\":1,\"fTextFont\":42,\"fLabel\":\"\",\"fLongest\":18,\"fMargin\":0.05,\"fLines\":{\"_typename\":\"TList\",\"name\":\"TList\",\"arr\":[{\"_typename\":\"TLatex\",\"fUniqueID\":0,\"fBits\":50331648,\"fName\":\"\",\"fTitle\":\"hist_py\",\"fTextAngle\":0,\"fTextSize\":0.0368,\"fTextAlign\":0,\"fTextColor\":0,\"fTextFont\":0,\"fX\":0,\"fY\":0,\"fLineColor\":1,\"fLineStyle\":1,\"fLineWidth\":2,\"fLimitFactorSize\":3,\"fOriginSize\":0.0368000008165836},{\"_typename\":\"TLatex\",\"fUniqueID\":0,\"fBits\":50331648,\"fName\":\"\",\"fTitle\":\"Entries = 100    \",\"fTextAngle\":0,\"fTextSize\":0,\"fTextAlign\":0,\"fTextColor\":0,\"fTextFont\":0,\"fX\":0,\"fY\":0,\"fLineColor\":1,\"fLineStyle\":1,\"fLineWidth\":2,\"fLimitFactorSize\":3,\"fOriginSize\":0.04},{\"_typename\":\"TLatex\",\"fUniqueID\":0,\"fBits\":50331648,\"fName\":\"\",\"fTitle\":\"Mean  = -0.1581\",\"fTextAngle\":0,\"fTextSize\":0,\"fTextAlign\":0,\"fTextColor\":0,\"fTextFont\":0,\"fX\":0,\"fY\":0,\"fLineColor\":1,\"fLineStyle\":1,\"fLineWidth\":2,\"fLimitFactorSize\":3,\"fOriginSize\":0.04},{\"_typename\":\"TLatex\",\"fUniqueID\":0,\"fBits\":50331648,\"fName\":\"\",\"fTitle\":\"Std Dev   = 0.8966\",\"fTextAngle\":0,\"fTextSize\":0,\"fTextAlign\":0,\"fTextColor\":0,\"fTextFont\":0,\"fX\":0,\"fY\":0,\"fLineColor\":1,\"fLineStyle\":1,\"fLineWidth\":2,\"fLimitFactorSize\":3,\"fOriginSize\":0.04}],\"opt\":[\"\",\"\",\"\",\"\"]},\"fOptFit\":0,\"fOptStat\":1111,\"fFitFormat\":\"5.4g\",\"fStatFormat\":\"6.4g\",\"fParent\":{\"$ref\":3}}],\"opt\":[\"brNDC\"]},\"fBufferSize\":0,\"fBuffer\":[],\"fBinStatErrOpt\":0,\"fArray\":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,2,1,0,4,2,4,3,6,2,4,1,4,5,4,4,5,6,4,4,3,5,4,5,4,2,1,2,0,0,2,0,0,1,1,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]},{\"_typename\":\"TPaveText\",\"fUniqueID\":0,\"fBits\":50331657,\"fLineColor\":1,\"fLineStyle\":1,\"fLineWidth\":1,\"fFillColor\":0,\"fFillStyle\":0,\"fX1\":-1.51688220651135,\"fY1\":6.56761661390111,\"fX2\":1.51688220651135,\"fY2\":7.04812509563752,\"fX1NDC\":0.378649425287356,\"fY1NDC\":0.933983055615829,\"fX2NDC\":0.621350574712644,\"fY2NDC\":0.995000004768372,\"fBorderSize\":0,\"fInit\":1,\"fShadowColor\":1,\"fCornerRadius\":0,\"fOption\":\"blNDC\",\"fName\":\"title\",\"fTextAngle\":0,\"fTextSize\":0,\"fTextAlign\":22,\"fTextColor\":1,\"fTextFont\":42,\"fLabel\":\"\",\"fLongest\":12,\"fMargin\":0.05,\"fLines\":{\"_typename\":\"TList\",\"name\":\"TList\",\"arr\":[{\"_typename\":\"TLatex\",\"fUniqueID\":0,\"fBits\":50331648,\"fName\":\"\",\"fTitle\":\"My histogram\",\"fTextAngle\":0,\"fTextSize\":0,\"fTextAlign\":0,\"fTextColor\":0,\"fTextFont\":0,\"fX\":0,\"fY\":0,\"fLineColor\":1,\"fLineStyle\":1,\"fLineWidth\":2,\"fLimitFactorSize\":3,\"fOriginSize\":0.0518644079566002}],\"opt\":[\"\"]}}],\"opt\":[\"\",\"\",\"blNDC\"]},\"fExecs\":null,\"fName\":\"canvas\",\"fTitle\":\"My canvas\",\"fNumPaletteColor\":0,\"fNextPaletteColor\":0,\"fDISPLAY\":\"$DISPLAY\",\"fDoubleBuffer\":0,\"fRetained\":true,\"fXsizeUser\":0,\"fYsizeUser\":0,\"fXsizeReal\":20,\"fYsizeReal\":14.28571,\"fWindowTopX\":0,\"fWindowTopY\":0,\"fWindowWidth\":0,\"fWindowHeight\":0,\"fCw\":696,\"fCh\":472,\"fCatt\":{\"_typename\":\"TAttCanvas\",\"fXBetween\":2,\"fYBetween\":2,\"fTitleFromTop\":1.2,\"fXdate\":0.2,\"fYdate\":0.3,\"fAdate\":1},\"kMoveOpaque\":true,\"kResizeOpaque\":true,\"fHighLightColor\":2,\"fBatch\":true,\"kShowEventStatus\":false,\"kAutoExec\":true,\"kMenuBar\":true});\n",
       "       Core.draw(\"root_plot_1\", obj, \"\");\n",
       "     }\n",
       " );\n",
       "</script>\n"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ROOT.enableJSVis()\n",
    "canvas.cd()\n",
    "hist_py.Draw()\n",
    "canvas.Draw()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Note, we could have just re-executed the cell above where we did the draw, and get the javascript enabled one, but I just did it a second time to show the example better. You can zoom in and out, move the legend, right-click to get a bunch of options, etc."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "OK, so now, let's do this in a C++ style. Again, we use the `%%cpp` magic command at the beginning of the cell."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "<div id=\"root_plot_2\"\n",
       "     style=\"width: 696px; height: 472px\">\n",
       "</div>\n",
       "\n",
       "<script>\n",
       " requirejs.config({\n",
       "     paths: {\n",
       "       'JSRootCore' : 'https://root.cern.ch/js/notebook//scripts/JSRootCore',\n",
       "     }\n",
       "   });\n",
       " require(['JSRootCore'],\n",
       "     function(Core) {\n",
       "       var obj = Core.JSONR_unref({\"_typename\":\"TCanvas\",\"fUniqueID\":0,\"fBits\":53673992,\"fLineColor\":1,\"fLineStyle\":1,\"fLineWidth\":1,\"fFillColor\":0,\"fFillStyle\":1001,\"fLeftMargin\":0.1,\"fRightMargin\":0.1,\"fBottomMargin\":0.1,\"fTopMargin\":0.1,\"fXfile\":2,\"fYfile\":2,\"fAfile\":1,\"fXstat\":0.99,\"fYstat\":0.99,\"fAstat\":2,\"fFrameFillColor\":0,\"fFrameLineColor\":1,\"fFrameFillStyle\":1001,\"fFrameLineStyle\":1,\"fFrameLineWidth\":1,\"fFrameBorderSize\":1,\"fFrameBorderMode\":0,\"fX1\":-6.25000009313226,\"fY1\":-0.918750068452213,\"fX2\":6.25000009313226,\"fY2\":8.26875006845221,\"fXtoAbsPixelk\":348.00005,\"fXtoPixelk\":348.00005,\"fXtoPixel\":55.6799991703033,\"fYtoAbsPixelk\":424.800047186661,\"fYtoPixelk\":424.800047186661,\"fYtoPixel\":-51.3741488943294,\"fUtoAbsPixelk\":5e-5,\"fUtoPixelk\":5e-5,\"fUtoPixel\":696,\"fVtoAbsPixelk\":472.00005,\"fVtoPixelk\":472,\"fVtoPixel\":-472,\"fAbsPixeltoXk\":-6.25000009313226,\"fPixeltoXk\":-6.25000009313226,\"fPixeltoX\":0.017959770382564,\"fAbsPixeltoYk\":8.26875006845221,\"fPixeltoYk\":-0.918750068452213,\"fPixeltoY\":-0.0194650426629331,\"fXlowNDC\":0,\"fYlowNDC\":0,\"fXUpNDC\":0,\"fYUpNDC\":0,\"fWNDC\":1,\"fHNDC\":1,\"fAbsXlowNDC\":0,\"fAbsYlowNDC\":0,\"fAbsWNDC\":1,\"fAbsHNDC\":1,\"fUxmin\":-5,\"fUymin\":0,\"fUxmax\":5,\"fUymax\":7.35,\"fTheta\":30,\"fPhi\":30,\"fAspectRatio\":0,\"fNumber\":0,\"fTickx\":0,\"fTicky\":0,\"fLogx\":0,\"fLogy\":0,\"fLogz\":0,\"fPadPaint\":0,\"fCrosshair\":0,\"fCrosshairPos\":0,\"fBorderSize\":2,\"fBorderMode\":0,\"fModified\":false,\"fGridx\":false,\"fGridy\":false,\"fAbsCoord\":false,\"fEditable\":true,\"fFixedAspectRatio\":false,\"fPrimitives\":{\"_typename\":\"TList\",\"name\":\"TList\",\"arr\":[{\"_typename\":\"TFrame\",\"fUniqueID\":0,\"fBits\":50331656,\"fLineColor\":1,\"fLineStyle\":1,\"fLineWidth\":1,\"fFillColor\":0,\"fFillStyle\":1001,\"fX1\":-5,\"fY1\":0,\"fX2\":5,\"fY2\":7.35,\"fBorderSize\":1,\"fBorderMode\":0},{\"_typename\":\"TH1F\",\"fUniqueID\":0,\"fBits\":50331656,\"fName\":\"hist_cpp\",\"fTitle\":\"My other histogram\",\"fLineColor\":602,\"fLineStyle\":1,\"fLineWidth\":1,\"fFillColor\":0,\"fFillStyle\":1001,\"fMarkerColor\":1,\"fMarkerStyle\":1,\"fMarkerSize\":1,\"fNcells\":102,\"fXaxis\":{\"_typename\":\"TAxis\",\"fUniqueID\":0,\"fBits\":50331648,\"fName\":\"xaxis\",\"fTitle\":\"\",\"fNdivisions\":510,\"fAxisColor\":1,\"fLabelColor\":1,\"fLabelFont\":42,\"fLabelOffset\":0.005,\"fLabelSize\":0.035,\"fTickLength\":0.03,\"fTitleOffset\":1,\"fTitleSize\":0.035,\"fTitleColor\":1,\"fTitleFont\":42,\"fNbins\":100,\"fXmin\":-5,\"fXmax\":5,\"fXbins\":[],\"fFirst\":0,\"fLast\":0,\"fBits2\":0,\"fTimeDisplay\":false,\"fTimeFormat\":\"\",\"fLabels\":null,\"fModLabs\":null},\"fYaxis\":{\"_typename\":\"TAxis\",\"fUniqueID\":0,\"fBits\":50331648,\"fName\":\"yaxis\",\"fTitle\":\"\",\"fNdivisions\":510,\"fAxisColor\":1,\"fLabelColor\":1,\"fLabelFont\":42,\"fLabelOffset\":0.005,\"fLabelSize\":0.035,\"fTickLength\":0.03,\"fTitleOffset\":0,\"fTitleSize\":0.035,\"fTitleColor\":1,\"fTitleFont\":42,\"fNbins\":1,\"fXmin\":0,\"fXmax\":1,\"fXbins\":[],\"fFirst\":0,\"fLast\":0,\"fBits2\":0,\"fTimeDisplay\":false,\"fTimeFormat\":\"\",\"fLabels\":null,\"fModLabs\":null},\"fZaxis\":{\"_typename\":\"TAxis\",\"fUniqueID\":0,\"fBits\":50331648,\"fName\":\"zaxis\",\"fTitle\":\"\",\"fNdivisions\":510,\"fAxisColor\":1,\"fLabelColor\":1,\"fLabelFont\":42,\"fLabelOffset\":0.005,\"fLabelSize\":0.035,\"fTickLength\":0.03,\"fTitleOffset\":1,\"fTitleSize\":0.035,\"fTitleColor\":1,\"fTitleFont\":42,\"fNbins\":1,\"fXmin\":0,\"fXmax\":1,\"fXbins\":[],\"fFirst\":0,\"fLast\":0,\"fBits2\":0,\"fTimeDisplay\":false,\"fTimeFormat\":\"\",\"fLabels\":null,\"fModLabs\":null},\"fBarOffset\":0,\"fBarWidth\":1000,\"fEntries\":100,\"fTsumw\":100,\"fTsumw2\":100,\"fTsumwx\":0.424897706399769,\"fTsumwx2\":114.779783203395,\"fMaximum\":-1111,\"fMinimum\":-1111,\"fNormFactor\":0,\"fContour\":[],\"fSumw2\":[],\"fOption\":\"\",\"fFunctions\":{\"_typename\":\"TList\",\"name\":\"TList\",\"arr\":[{\"_typename\":\"TPaveStats\",\"fUniqueID\":0,\"fBits\":50331657,\"fLineColor\":1,\"fLineStyle\":1,\"fLineWidth\":1,\"fFillColor\":0,\"fFillStyle\":1001,\"fX1\":3.50000025331975,\"fY1\":6.20156259241049,\"fX2\":6.00000032782556,\"fY2\":7.67156258145813,\"fX1NDC\":0.780000016093254,\"fY1NDC\":0.775000005960464,\"fX2NDC\":0.980000019073486,\"fY2NDC\":0.935000002384186,\"fBorderSize\":1,\"fInit\":1,\"fShadowColor\":1,\"fCornerRadius\":0,\"fOption\":\"brNDC\",\"fName\":\"stats\",\"fTextAngle\":0,\"fTextSize\":0,\"fTextAlign\":12,\"fTextColor\":1,\"fTextFont\":42,\"fLabel\":\"\",\"fLongest\":18,\"fMargin\":0.05,\"fLines\":{\"_typename\":\"TList\",\"name\":\"TList\",\"arr\":[{\"_typename\":\"TLatex\",\"fUniqueID\":0,\"fBits\":50331648,\"fName\":\"\",\"fTitle\":\"hist_cpp\",\"fTextAngle\":0,\"fTextSize\":0.0368,\"fTextAlign\":0,\"fTextColor\":0,\"fTextFont\":0,\"fX\":0,\"fY\":0,\"fLineColor\":1,\"fLineStyle\":1,\"fLineWidth\":2,\"fLimitFactorSize\":3,\"fOriginSize\":0.0368000008165836},{\"_typename\":\"TLatex\",\"fUniqueID\":0,\"fBits\":50331648,\"fName\":\"\",\"fTitle\":\"Entries = 100    \",\"fTextAngle\":0,\"fTextSize\":0,\"fTextAlign\":0,\"fTextColor\":0,\"fTextFont\":0,\"fX\":0,\"fY\":0,\"fLineColor\":1,\"fLineStyle\":1,\"fLineWidth\":2,\"fLimitFactorSize\":3,\"fOriginSize\":0.04},{\"_typename\":\"TLatex\",\"fUniqueID\":0,\"fBits\":50331648,\"fName\":\"\",\"fTitle\":\"Mean  = 0.004249\",\"fTextAngle\":0,\"fTextSize\":0,\"fTextAlign\":0,\"fTextColor\":0,\"fTextFont\":0,\"fX\":0,\"fY\":0,\"fLineColor\":1,\"fLineStyle\":1,\"fLineWidth\":2,\"fLimitFactorSize\":3,\"fOriginSize\":0.04},{\"_typename\":\"TLatex\",\"fUniqueID\":0,\"fBits\":50331648,\"fName\":\"\",\"fTitle\":\"Std Dev   =  1.071\",\"fTextAngle\":0,\"fTextSize\":0,\"fTextAlign\":0,\"fTextColor\":0,\"fTextFont\":0,\"fX\":0,\"fY\":0,\"fLineColor\":1,\"fLineStyle\":1,\"fLineWidth\":2,\"fLimitFactorSize\":3,\"fOriginSize\":0.04}],\"opt\":[\"\",\"\",\"\",\"\"]},\"fOptFit\":0,\"fOptStat\":1111,\"fFitFormat\":\"5.4g\",\"fStatFormat\":\"6.4g\",\"fParent\":{\"$ref\":3}}],\"opt\":[\"brNDC\"]},\"fBufferSize\":0,\"fBuffer\":[],\"fBinStatErrOpt\":0,\"fArray\":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0,2,0,0,0,1,0,2,1,5,2,3,3,2,3,4,5,1,3,5,5,2,3,5,7,7,2,3,2,1,2,2,3,1,0,0,2,1,1,2,0,1,1,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]},{\"_typename\":\"TPaveText\",\"fUniqueID\":0,\"fBits\":50331657,\"fLineColor\":1,\"fLineStyle\":1,\"fLineWidth\":1,\"fFillColor\":0,\"fFillStyle\":0,\"fX1\":-2.11853451432725,\"fY1\":7.66221938288463,\"fX2\":2.11853451432725,\"fY2\":8.22281261157711,\"fX1NDC\":0.33051724137931,\"fY1NDC\":0.933983055615829,\"fX2NDC\":0.66948275862069,\"fY2NDC\":0.995000004768372,\"fBorderSize\":0,\"fInit\":1,\"fShadowColor\":1,\"fCornerRadius\":0,\"fOption\":\"blNDC\",\"fName\":\"title\",\"fTextAngle\":0,\"fTextSize\":0,\"fTextAlign\":22,\"fTextColor\":1,\"fTextFont\":42,\"fLabel\":\"\",\"fLongest\":18,\"fMargin\":0.05,\"fLines\":{\"_typename\":\"TList\",\"name\":\"TList\",\"arr\":[{\"_typename\":\"TLatex\",\"fUniqueID\":0,\"fBits\":50331648,\"fName\":\"\",\"fTitle\":\"My other histogram\",\"fTextAngle\":0,\"fTextSize\":0,\"fTextAlign\":0,\"fTextColor\":0,\"fTextFont\":0,\"fX\":0,\"fY\":0,\"fLineColor\":1,\"fLineStyle\":1,\"fLineWidth\":2,\"fLimitFactorSize\":3,\"fOriginSize\":0.0518644079566002}],\"opt\":[\"\"]}}],\"opt\":[\"\",\"\",\"blNDC\"]},\"fExecs\":null,\"fName\":\"canvas\",\"fTitle\":\"My canvas\",\"fNumPaletteColor\":0,\"fNextPaletteColor\":0,\"fDISPLAY\":\"$DISPLAY\",\"fDoubleBuffer\":0,\"fRetained\":true,\"fXsizeUser\":0,\"fYsizeUser\":0,\"fXsizeReal\":20,\"fYsizeReal\":14.28571,\"fWindowTopX\":0,\"fWindowTopY\":0,\"fWindowWidth\":0,\"fWindowHeight\":0,\"fCw\":696,\"fCh\":472,\"fCatt\":{\"_typename\":\"TAttCanvas\",\"fXBetween\":2,\"fYBetween\":2,\"fTitleFromTop\":1.2,\"fXdate\":0.2,\"fYdate\":0.3,\"fAdate\":1},\"kMoveOpaque\":true,\"kResizeOpaque\":true,\"fHighLightColor\":2,\"fBatch\":true,\"kShowEventStatus\":false,\"kAutoExec\":true,\"kMenuBar\":true});\n",
       "       Core.draw(\"root_plot_2\", obj, \"\");\n",
       "     }\n",
       " );\n",
       "</script>\n"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%%cpp\n",
    "TH1F *hist_cpp = new TH1F(\"hist_cpp\",\"My other histogram\",100,-5,5);\n",
    "hist_cpp->FillRandom(\"gaus\",100);\n",
    "hist_cpp->Draw();\n",
    "canvas->Draw();"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Quick notes:\n",
    "* The canvas we created is still valid in the cpp environment. So we can just draw it!\n",
    "* The javascript option is still enabled from before, so we get the same plotting environment here."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "So, we have two histograms, one made in python and one in C. But, we can plot them together:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
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       "\n",
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       "     style=\"width: 696px; height: 472px\">\n",
       "</div>\n",
       "\n",
       "<script>\n",
       " requirejs.config({\n",
       "     paths: {\n",
       "       'JSRootCore' : 'https://root.cern.ch/js/notebook//scripts/JSRootCore',\n",
       "     }\n",
       "   });\n",
       " require(['JSRootCore'],\n",
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       "       Core.draw(\"root_plot_3\", obj, \"\");\n",
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    "%%cpp\n",
    "hist_cpp->SetLineColor(kRed);\n",
    "hist_cpp->SetLineWidth(2);\n",
    "hist_cpp->Draw();\n",
    "hist_py->SetLineStyle(2);\n",
    "hist_py->Draw(\"same\");\n",
    "canvas->Draw();"
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  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "OK! You can see some additional information/example from https://root.cern.ch/notebooks/HowTos/HowTo_ROOT-Notebooks.html. And, you can move on to some of the other examples. A good next step is the <a href=\"ROOT_CPP_Kernel_Example.ipynb\">ROOT C++ kernel example</a>."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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