notebook_create_plot_python_example.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<CENTER><img src=\"opendata-top-transblack.png\" style=\"width:60%\"></CENTER>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<CENTER><h1>Simple pyROOT notebook example</h1></CENTER>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "require(['codemirror/mode/clike/clike'], function(Clike) { console.log('ROOTaaS - C++ CodeMirror module loaded'); });"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "IPython.CodeCell.config_defaults.highlight_modes['magic_text/x-c++src'] = {'reg':[/^%%cpp/]};"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Welcome to ROOTaaS 6.06/08\n"
     ]
    }
   ],
   "source": [
    "import ROOT"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "f = ROOT.TFile.Open(\"http://opendata.atlas.cern/release/samples/MC/mc_105986.ZZ.root\")\n",
    "# f = ROOT.TFile.Open(\"mc_105986.ZZ.root\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "c = ROOT.TCanvas(\"testCanvas\",\"a first way to plot a variable\",800,600)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "t = f.Get(\"mini\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "h = ROOT.TH1F(\"variable\",\"Example plot: Number of Leptons\",4,0,4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Done!\n"
     ]
    }
   ],
   "source": [
    "for event in t:\n",
    "    h.Fill(t.lep_n)\n",
    "    \n",
    "print \"Done!\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "h.Draw()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
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Xv7jpTTd9bxuJqt4xVPXsWaLi/Jo1unABxTE/43gKcfkvf/nLxsLzC+0a169fD11D7ty5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\nAAAy+P+NUaJj3x7vGAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "c.Draw()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "scale = h.Integral()\n",
    "h.Scale(1/scale)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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n9YOm0+niYc1mqjAIKcnPPbX1G8maqTTs5qrPrrM7rQO1/liuNQlVAJDecrnc\nqAmkWXjTDy6Xy9BjGFJC2dDd2mw2m8/naccSbaosy2a47HaANks238amvjAoqrlqnQ7N3qFXKcPl\nRhMwnHeOxliZx2jcnF8O1sCFI1zgm3NKhRwTl7Rex03FEVGrfmKYNXSxWMQ5RZuFw5Iw2ChsqjmZ\nU8xSm+9rYq3dXzUtanNVc1qpsGtxC72TdbVmpeoWO3GKr00P1P4P6y4dwteIbXDRHTfnl4M1fFnp\nNpw0M1ZY0poAMxYbCFUD2+z9ud0tDMyZuTMDM6o3d6pVrJuQBo5DN1TVnYMzPBn9prEhr9dovxmN\nPD+u/T0eef778KKuX95vTdgG55eDtc5lJfa+nThEPeED6QZ+6EE5y7P/NtpC9yPrfGrT2HBcIUOo\nGisX3XFzfjlYLivjtun5NVAdACABoQoAIAGhCgAggUf2XQEAOMfyPN93FTgUQhUAnJJR6sOObSC/\n7j8AgASEKgCABIQqAIAEhCoAgASEKgCABIQqAIAEhCoAgASEKgCABIQqAIAEjm5G9eHnCRzVxK8A\nQEJHF6rEJgBgG3T/AQAkIFQBACQgVAEAJCBUAQAkIFQBACQgVAEAJCBUAQAkIFQBACRw6JN/VlVV\nVVVZlmVZrlk4y7I1ywMApJIf7Azjs9lsPp/Ht0VRhMC0Suv5M73l8/xw95ezyPPfhxd1/fJ+a8I2\nOL9wTh3bZfdAu/+qqgqJarFY1HU9nU6Xy+VA41NYNZ1O67pepzwAQFoHGiHLslwul4vFIgajsGRV\nbfM8bzVNhYarVvlji8zHQ0vGuDm/cE4d22X3QFuqlstl9qD9KQive3sA4ziq5sKiKLZWOwCAtgMN\nVVknFQ2EqrIs67qezWbNhSGWAQDsxqHf/RetOUAqFAuJ6qiaHAGA/TrEUNXbnddcNaDZQBXmYmgV\naN0kuD4RDQAYcIiharinb/izMfrkeT6ZTLpJSDaC8yuOWGdk3ILAOBzumKqWE9uoWqbTaZZlrYFW\nABwgcZlxONxQ1RppPtAnOJvN8jxvpS6TVMFoaMYAzoVD7P7Lsmw6nc7n8+agqIFQVZZlq/BweeDc\nkavGShsVY3KgLVWh224ymcS3y+Uy9OgFZVnG1qmQnObzeezsC4+4KYpCqAIAduNAQ1WWZYvFIsuy\nPM/zPA8JaWCAVCg8n8+b5TcdhgUAcGqHPn98VVWhX2+dNqdYOFvR8Xds8/hTifsAABLPSURBVOUf\nD48xgXPKP95xO7bL7pHt7ZGd3ePh9zKcU/7xjtuxXXYPt/sPAOAcEaoAABIQqgAAEhCqAAASEKoA\nABIQqgAAEhCqAAASEKoAABI40Acqb0+e5wNrj2qOMgAgoaMLVWITALANuv8AABIQqgAAEhCqAAAS\nEKoAABIQqgAAEhCqAAASEKoAABIQqgAAEhCqAAASEKoAABIQqgAAEhCqAAASEKoAABIQqgAAEhCq\nAAASEKoAABJ4ZN8V2LU8zwfW1nW9s5oAAGNydKFKbAIAtkH3HwBAAkIVAEACQhUAQAJCFQBAAkIV\nAEACQhUAQAJCFQBAAkIVAEACQhUAQAJCFQBAAkIVAEACQhUAQAJCFQBAAkIVAEACQhUAQAKP7LsC\nu5bn+cDauq53VhMAYEyOLlSJTQDANuj+AwBIQKgCAEhAqAIASECoAgBIQKgCAEhAqAIASECoAgBI\nQKgCAEhAqAIASECoAgBIQKgCAEhAqAIASECoAgBIQKgCAEhAqAIASOCRfVdg1/I8H1hb1/XOagIA\njMnRhSqxCQDYBt1/AAAJCFUAAAkIVQAACQhVAAAJCFUAAAkIVQAACQhVAAAJCFUAAAkIVQAACex5\nRvWqqqqqKsuyLMs1C2dZ1i0fVzWtuVkAgLPbW6iazWbz+Ty8ns/nRVF0U1FTWZbL5TKWz7JssVjE\nzDSbzeLa1qeS1RgAYLX9dP9VVRWDUV3X0+l0uVwOBKCQqIqiqOs6lM+ybDKZxAIhUS0eNpvNtr0j\nAABBvpcHDIeQ1GxqCktWVSbP8+zhZyGHhq7pdBqSU57nJ7Z1hWIeqDxKef778KKuX95vTYCN+Mc7\nbsd22d1P919oWGo2TYVQFcZX9X4ktE41y8few7hknR8d/wEDACS0t7v/iqJovg2RaFVTU7cvr1ky\nvi7LMs/zsix1/AEAO7afdrne3ro8z2N33rCqqsKAqlD5+DbLsqIo4oj17q7leZ5l/3LW2nOodB/A\nuaP7b9x0/21dnBZh1aph8bbBxWLR/FQzkIUyZVn2bfDvTlHnrC+iAQBE56mlKrZIrTkmPeskoWOL\nzAAHTkvVuB3bZfdQZlQ/MSSVZRkS1WKxWKdBqzVmCwBgq/YWqlpzdQ70CWYP5vacTqd1XXfL9E6n\nDgCwS/tplwtjnjaap2qgy6/3s7r/AA6f7r9xO7bL7n5aqsLAqXjLXmyIigXC5AghRYX/hynXW8Kq\nOP9nLB8SVRzJDgCwbXt79t9isZhMJiH9ZFlWFMWqIeqxgar7dL/4MObpdDqfz5sPrmk2gwEAbNue\n2+XCcKgQjHawtWNrhwQ4cLr/xu3YLrtHtrdHdnYBDpxQNW7Hdtk9lCkVAADONaEKACABoQoAIAGh\nCgAgAaEKACABoQoAIAGhCgAgAaEKACCBvT2mZl/ig3F6HdUcZQBAQkcXqsQmAGAbdP8BACQgVAEA\nJCBUAQAkIFQBACQgVAEAJCBUAQAkIFQBACQgVAEAJCBUAQAkIFQBACQgVAEAJCBUAQAkIFQBACQg\nVAEAJCBUAQAk8Mi+K7BreZ4PrK3remc1AQDG5OhCldgEAGyD7j8AgASEKgCABIQqAIAEhCoAgASE\nKgCABIQqAIAEhCoAgASEKgCABIQqAIAEhCoAgASEKgCABIQqAIAEhCoAgASEKgCABIQqAIAEhCoA\ngAQe2XcFdi3P84G1dV3vrCYAwJgcXagSmwCAbdD9BwCQgFAFAJCAUAUAkIBQBQCQgFAFAJCAUAUA\nkIBQBQCQgFAFAJCAUAUAkIBQBQCQgFAFAJCAUAUAkIBQBQCQgFAFAJCAUAUAkMAj+67AruV5PrC2\nruud1QQAGJOjC1ViEwCwDbr/AAASEKoAABIQqgAAEhCqAAASEKoAABIQqgAAEhCqAAASEKoAABIQ\nqgAAEjj0GdWrqqqqqizLsizXLJxl2ZrlAQBSyQ/2sS2z2Ww+n8e3RVGEwLRKWZbL5bK5ZLFYtKJV\nnh/u/gIcoTz/fXhR1y/vtyZsw7Fddg+0+6+qqpCoFotFXdfT6XS5XA40PoVEVRRFXdehfJZlk8lk\nZxUGAI7cgUbIEJKaTU1hyara5nmePfyw5NDQNZ1OZ7NZs9hh7i/AcdJSNW7Hdtk90Jaq0JHXbJoK\nrwd6AEPrVKs8AMBuHGioyrKsKIrm2+FQtVgsmi1SAyUBALbhcENVy3DLU2ttHJLVSloAAFtyiKEq\nTouwatWw2WwWhqgvFovu2vy0zrZPAMDIHeI8VQM9fcPtVVVVhTg1MP/CUY2YAwB25hBDVa8T26ji\nPFXd6akAALbtELv/gtZMngN9glmWzWaz5XI5nU7rupaoAIDdO9BQFeZHaLZODYeq+XxeFIVh6QDA\nvhxoqArxKE6JHhuiYoGyLPM8D0kr/D9Mud5iYgUAYDcOd0zVYrGYTCbxtruBhqiYnFo9hmGV3kAA\nYAcOff74qqpCMEqSjY5tvnyAA+cxNeN2bJfdI9vbIzu7AAdOqBq3Y7vsHuiYKgCA80WoAgBIQKgC\nAEhAqAIASECoAgBIQKgCAEhAqAIASECoAgBI4HAfU7Ml8bk3vY5qjjIAIKGjC1ViEwCwDbr/AAAS\nEKoAABIQqgAAEhCqAAASEKoAABIQqgAAEhCqAAASEKoAABIQqgAAEhCqAAASEKoAABIQqgAAEhCq\nAAASEKoAABIQqgAAEnhk3xXYtTzPB9bWdb2zmgAAY3J0oUpsAgC2QfcfAEACQhUAQAJCFQBAAkIV\nAEACQhUAQAJCFQBAAkIVAEACQhUAQAJCFQBAAkIVAEACQhUAQAJCFQBAAkIVAEACQhUAQAJCFQBA\nAkIVAEACj+y7AruW5/nA2rqud1YTAGBMji5UiU0AwDbo/gMASECoAgBIQKgCAEhAqAIASECoAgBI\nQKgCAEhAqAIASECoAgBIQKgCAEhAqAIASECoAgBIQKgCAEhAqAIASECoAgBIQKgCAEjgkX1XYNfy\nPB9YW9f1zmoCAIzJ0YUqsQkA2AbdfwAACQhVAAAJCFUAAAkIVQAACQhVAAAJCFUAAAkIVQAACQhV\nAAAJ7Hnyz6qqqqoqy7Isy/U/kmVZq3zYTqvkRpsFADiLvYWq2Ww2n8/D6/l8XhRFNxX1mkwm0+m0\nlZZms9lyuewWFqoAgN3YT6iqqiokqsViUZZlCFhlWZ6Yq1aFpJCoFovFOoUBAJLbT6iazWbZg0QV\n3lZV1dvUFFRVNZlMhrdZFIUUBQDsy34Gqof81MxA4fWqlqqyLKcPrNqmRAUA7NHe7v4riqL5djhU\nZVk2m81ms1lvcoqfKssyz/PQn5iqngAA6ziUKRXO3s40n8+Xy2VRFMvlcj6f53meol4AAGvZQ6jq\nnROhuep0G5xOp3VdV1VV13XoJez9EflpnaJiAMDx2EOoGujpO1171Ww2q+u62eUXXveOfK9P6xQV\nAwCOx6F0/52ujWpAa8wWAMBW7S1UtZqRBvoET9Q7nToAwC7tJ1SFMU/NJHSWUDWbzbqzWA3MegUA\nkNx+QlUY8xSTUHjITHMOqjA5wprtT2FrsXxVVWFceWuCdQCA7dnbs/8Wi8VkMol31RVFcerJpcLU\noPP5vNleFadrBwDYgXy/97WF4VBlWSYJQCduLc/3vL8ANOX578OLun55vzVhG47tsntke3tkZxfg\nwAlV43Zsl91DmVIBAOBcE6oAABIQqgAAEhCqAAASEKoAABIQqgAAEhCqAAASEKoAABIQqgAAEtjb\ns//2JT5tsNdRTfwKACR0dKFKbAIAtkH3HwBAAkIVAEACQhUAQAJCFQBAAkIVAEACQhUAQAJCFQBA\nAkIVAEACQhUAQAJCFQBAAkIVAEACQhUAQAJCFQBAAkIVAEACQhUAQAKP7LsCu5bn+cDauq53VhMA\nYEyOLlSJTQDANuj+AwBIQKgCAEhAqAIASECoAgBIQKgCAEhAqAIASECoAgBIQKgCAEhAqAIASECo\nAgBIQKgCAEhAqAIASECoAgBIQKgCAEhAqAIASOCRfVdg1/I8H1hb1/XOagIAjMnRhSqxCQDYBt1/\nAAAJCFUAAAkIVQAACQhVAAAJCFUAAAkIVQAACQhVAAAJCFUAAAkIVQAACQhVAAAJCFUAAAkIVQAA\nCQhVAAAJCFUAAAkIVQAACQhVAAAJPLLvCuxanucDa+u63llNAIAxObpQJTYBANug+w8AIAGhCgAg\nAaEKACABoQoAIAGhCgAggaO7+w+AA5Tnv993FdiGf9l3BXZKSxUAQAJCFQB7U9cv77sKkEx+XibD\nrKqqqqqyLMuyXP8jWZY1y+f5udlfADjvju2yew5aqmazWZ7nk8lkPp9PJpP1Q9VkMgm5CgBg2w49\nVFVVNZ/PsyxbLBZ1XU+n0+VyuU6uWj97AQCc3aGHqtlslmXZYrEIIWk2mxVFsVwuV5WvqirP8zzP\nB8oAACR36KEqZKNms1N4vapfryzL6QM7qB4AQHDooSrLsqIomm+HQ1WWZbPZbDab6f7LsizP831X\nYXeOamcz+ztqR7Wz2ZHt71Ht7BE6B6GqRVoCAA7QQc+o3p0TobXqFE79V8JR3RQKAGzqoEPVQE/f\nqdurZCMAYBvOX/efqacAgAN0DkJVa3KEgT5BAIB9OfRQFWZGaLZO7TJUbToA69DKb2qr9Tmqnd1B\n+U0dWv23ur+HVnknNy2/qc5R+WNz6KEqTP45mUzi2+Vy2ZyDqizLPM/1CQIA+3XQA9WDxWIxmUxi\nOi6KIiQtAIDDcW4eH11VVVVVZVmepeNv08dlK5+w/EFVRvlxlz+oyih/vsofVGWOsPx5d2R7e2Df\nnqMqf1CVUX7c5Q+qMsqfr/IHVZkjLH/eHfqYKgCAc0GoAgBI4Lja5dwLCgC7dFwx46j2FgBgS3T/\nAQAkIFQBACQgVAEAJHAOZlRPJcn0oQdo/f3qnYl+TNPTj/Jh22vu1LhPbtiRkf3jXX+nRnxyw6+v\nbFwnd6OdGvHJjcIBGdlOrVQfgeazArMsK4pi3zVKY6P9WiwWo/8CjOnkRuvs1IhPblEUrZ1aLBb7\nrtRZbbRTR3Vy912jBDbaqRGf3KZR7tQq4+/+q6pqPp9nD35tTafT5XI5gj+JTrdf0+l08bBd1HUn\nRnBOuzbaqfGd3PAA9aIowpc87NFkMjnXD1A/3U6N9eROp9NwKQp/Ip73WW9Ot1PjO7lNo/zNPGTX\nKW7nwt8NzT8Ew5L91SiNTfcr/PPeRc12rvl9Hk1L1UY7NdaT2/0dFa438aJ1Hm26U8dzckfwm3nT\nnRrryY2a3Sn7rsuOjL+larlcZg+H5fD6XP+xm22+X+d9fwdMH9h3RVLaaKdGfHJbnSnj+Me70U6d\n950d0Pp6j+PkbrRT531nh4XulJH9Zj7ZvlPd1mWdP/RH8Mduvfl+hd/j8fsdex/GpHtMRmCdnRrr\nye3uxQj+8W66U2M9uV2jvCQN79S4T2783TXKM7vK+Pez95p03n8v15vvV4zRRVHEP5TP+0FoOdpQ\ndQwnt26M6t13RVI6cadGf3Kn02ncr9FEijV3asQnt9nvOb5/tgNGvp+r/gQ871ffU+xXd9X4vujn\n/bT2WjNUjf7kxr/mR3PdrdfbqdGf3GZn6GhO7po7NdaTG77YccfHsVNrGv9+aqlaJXzvz/txaDra\nUNU1ppMb23LGdHLPslNjOrlNI8tVwaY7NY6T29qFowpV4x+o3jXWsYGb7tfR3el6TEZzcmez2WQy\nybJssViM5l/uGXdqNCe3JQTN0ZzlYNOdGsHJDZN8zufz8oGwfEzzuw44ilAVbpSLRjPv9kb7NbJf\nVTSN9eSGu4dCW84I/sEGm+7UKE9uVVV5nrd27byf4lPs1ChPbtzl5QPx7d7qtEPjD1WhNbX53R1H\nqNpov6qqmkwmracEjOM4MOKTG5pzRnbh2WinxnpyQ+Vb+3XeH2Oy6U6N+OS2esTC8rquR/Zvud+u\n+xv3obmn4+ixDob3qzU7aCjcmup3TINU6mMaU3UkJzfsV9Fxrv/9nrhTR3Jy42wC4W0cs7/XSp3V\niTt1JCe3ZQRndn1HsZ+tWf9H85Ud3q/ulOutPD2a4xAdz04dw8kdeFjH+d27dXbqGE5uUHQekzeC\nUerDO3U8J7cp7Nq+a7Ejed05qWMVHpQ9vrFyG+3XWA8CmZM7amM9uaE/aGS7tulOjfXkHqcjClUA\nANsz/oHqAAA7IFQBACQgVAEAJCBUAQAkIFQBACQgVAEAJCBUAQAkIFQBACQgVAEAJCBUAQAkIFQB\nACQgVAEAJCBUAQAkIFQBACQgVAEAJCBUAQAkIFQBACQgVAEAJCBUAQAkIFQBACQgVAEAJCBUAQAk\nIFQBACQgVAEAJCBUAQAkIFQBACQgVAEAJCBUAQAkIFQBACQgVAEAJCBUAQAkIFQBACQgVAEAJCBU\nAQAkIFQBACQgVAEAJCBUAQAk8P8CbCiJtEyN6+4AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "h.Draw()\n",
    "c.Draw()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}