{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "\n",
       "require(['notebook'],\n",
       "  function() {\n",
       "    IPython.CodeCell.config_defaults.highlight_modes['magic_text/x-c++src'] = {'reg':[/^%%cpp/]};\n",
       "    console.log(\"JupyROOT - %%cpp magic configured\");\n",
       "  }\n",
       ");\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Welcome to JupyROOT 6.08/02\n"
     ]
    }
   ],
   "source": [
    "import ROOT\n",
    "# %jsroot on\n",
    "%load_ext autoreload\n",
    "%autoreload 2\n",
    "import utils\n",
    "import plotter\n",
    "can = ROOT.TCanvas(\"c1\", \"\", 1600, 1200)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Writing log data to ../data/TTTT_ext_treeProducerSusyMultilepton_tree_result.log\n",
      "Writing log data to ../data/TTZToLLNuNu_treeProducerSusyMultilepton_tree_result.log\n",
      "Writing log data to ../data/TTWToLNu_treeProducerSusyMultilepton_tree_result.log\n"
     ]
    }
   ],
   "source": [
    "rebuild_hists=True\n",
    "hists_TTTT = utils.HistCollection(\"TTTT\", \"../data/TTTT_ext_treeProducerSusyMultilepton_tree.root\", rebuild_hists=rebuild_hists)\n",
    "hists_TTZ = utils.HistCollection(\"TTZ\", \"../data/TTZToLLNuNu_treeProducerSusyMultilepton_tree.root\", rebuild_hists=rebuild_hists)\n",
    "hists_TTW = utils.HistCollection(\"TTW\", \"../data/TTWToLNu_treeProducerSusyMultilepton_tree.root\", rebuild_hists=rebuild_hists)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "6 => 23966\n"
     ]
    }
   ],
   "source": [
    "for id_, count in list(hists_TTTT.GenTop_pdg_id):\n",
    "    print(id_,\"=>\",count)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "cannot draw object <ROOT.map<int,int> object at 0x63e14e0>\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Warning in <TROOT::Append>: Replacing existing TH1: TTTT:nLepvsnJet (Potential memory leak).\n"
     ]
    },
    {
     "data": {
      "image/png": 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ZuG+5ngMAAACwrcUnYk81Vqnqqu/7GGOqqBokp+5NZdXft3TPAQAAANjKspVW+arAGGOe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\ny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AAAwhFaAQAAABCO0AoAAACAcIRWAAAAAIQjtAIAAAAgHKEVAAAAAOEIrQAAAAAIR2gF\nAAAAQDhCKwAAAADCEVoBAAAAEI7QCgAAAIBwhFYAAAAAhPMX63SvCcxHtREAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "hists_TTTT.draw(can)\n",
    "can.Draw()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "cannot draw object <ROOT.map<int,int> object at 0x6273000>\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Warning in <TROOT::Append>: Replacing existing TH1: TTZ:nLepvsnJet (Potential memory leak).\n"
     ]
    },
    {
     "data": {
      "image/png": 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hzwms6SIAAABrqEseHVDXRVfvZer6T9f92roWvD8tLo23qnpjr+YUq61PnRCx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\nQmCC\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "hists_TTZ.draw(can)\n",
    "can.Draw()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "cannot draw object <ROOT.map<int,int> object at 0x64e20f0>\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Warning in <TROOT::Append>: Replacing existing TH1: TTW:nLepvsnJet (Potential memory leak).\n"
     ]
    },
    {
     "data": {
      "image/png": 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A4ONpTQEABVlx9cBB+umpYqIvKADAUrSsAICCrLt6YBwtmHpRPVUEKIjOCwAA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      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "hists_TTW.draw(can)\n",
    "can.Draw()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "11983.0\n",
      "322.0\n",
      "0.02687140115163148\n",
      "114004.0\n",
      "19067.0\n",
      "0.16724851759587384\n",
      "69659.0\n",
      "12995.0\n",
      "0.1865516300836934\n"
     ]
    },
    {
     "data": {
      "image/png": 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QIAAAAIBtCa2eVNf1xNCn74yKSvOpqqq+ORmwsA47AAAAcEDWtHpM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\nrkJggg==\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "can.Clear()\n",
    "hists, labels = zip(*[(h.b_jet_count, h.sample_name) for h in [hists_TTTT, hists_TTZ, hists_TTW]])\n",
    "utils.stack_hist(hists, labels, id_=\"b_jet_count_stack\", enable_fill=True, normalize_to=1, draw=True)\n",
    "can.BuildLegend(0.75, 0.75, 0.95, 0.95, \"\")\n",
    "can.Draw()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "11983.0\n",
      "0.0\n",
      "0.0\n",
      "114004.0\n",
      "0.0\n",
      "0.0\n",
      "69659.0\n",
      "0.0\n",
      "0.0\n"
     ]
    },
    {
     "data": {
      "image/png": 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PftiH5W3GF0pkTau6WdOqbta0AoCv5LK3biqtHpNWQt0r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\nLadVp9OpbVs1koXaMsR2zuVyhlyrjTvnk4NvRUw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      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "can.Clear()\n",
    "hists, labels = zip(*[(h.lepton_count, h.sample_name) for h in [hists_TTTT, hists_TTZ, hists_TTW]])\n",
    "utils.stack_hist(hists, labels, id_=\"lepton_count_stack\", enable_fill=True, normalize_to=1, draw=True)\n",
    "can.BuildLegend(0.75, 0.75, 0.95, 0.95, \"\")\n",
    "can.Draw()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "utils.stack_hist_array(can, [hists_TTZ, hists_TTW, hists_TTTT],\n",
    "                       *zip(('jet_count_os_dilepton','Jet Multiplicity for Opposite-Sign Dilepton Events'),\n",
    "                            ('jet_count_ss_dilepton','Jet Multiplicity for Same-Sign Dilepton Events'),\n",
    "                            ('jet_count_trilepton', 'Jet Multiplicity for Trilepton Events')\n",
    "                           ),\n",
    "                       normalize_to=1,\n",
    "                       enable_fill=True)\n",
    "can.Draw()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "ename": "AttributeError",
     "evalue": "'HistCollection' object has no attribute 'lepton_count_pass_miniiso'",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-11-5c5449b68dfa>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      3\u001b[0m                         'Count of leptons passing mini-iso Requirement'],\n\u001b[1;32m      4\u001b[0m                        \u001b[0mshape\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m2\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 5\u001b[0;31m                        enable_fill=True)\n\u001b[0m\u001b[1;32m      6\u001b[0m \u001b[0mcan\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mDraw\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/home/caleb/Sources/TTTT/python/utils.py\u001b[0m in \u001b[0;36mstack_hist_array\u001b[0;34m(canvas, histcollections, fields, titles, shape, **kwargs)\u001b[0m\n\u001b[1;32m    171\u001b[0m     \u001b[0;32mfor\u001b[0m \u001b[0mi\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfield\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtitle\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mzip\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mbin_range\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mn_fields\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfields\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtitles\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    172\u001b[0m         \u001b[0mcanvas\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcd\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mi\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 173\u001b[0;31m         \u001b[0mhists\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlabels\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mget_hist_set\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfield\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    174\u001b[0m         \u001b[0mstack_hist\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mhists\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlabels\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mid_\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mfield\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtitle\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mtitle\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdraw\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    175\u001b[0m     \u001b[0mcanvas\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcd\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mBuildLegend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m0.75\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m0.75\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m0.95\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m0.95\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/home/caleb/Sources/TTTT/python/utils.py\u001b[0m in \u001b[0;36mget_hist_set\u001b[0;34m(attrname)\u001b[0m\n\u001b[1;32m    159\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mget_hist_set\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mattrname\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    160\u001b[0m         hists, labels = zip(*[(getattr(h, attrname), h.sample_name)\n\u001b[0;32m--> 161\u001b[0;31m                               for h in histcollections])\n\u001b[0m\u001b[1;32m    162\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0mhists\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlabels\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    163\u001b[0m     \u001b[0mn_fields\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfields\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/home/caleb/Sources/TTTT/python/utils.py\u001b[0m in \u001b[0;36m<listcomp>\u001b[0;34m(.0)\u001b[0m\n\u001b[1;32m    159\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mget_hist_set\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mattrname\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    160\u001b[0m         hists, labels = zip(*[(getattr(h, attrname), h.sample_name)\n\u001b[0;32m--> 161\u001b[0;31m                               for h in histcollections])\n\u001b[0m\u001b[1;32m    162\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0mhists\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlabels\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    163\u001b[0m     \u001b[0mn_fields\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfields\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mAttributeError\u001b[0m: 'HistCollection' object has no attribute 'lepton_count_pass_miniiso'"
     ]
    }
   ],
   "source": [
    "utils.stack_hist_array(can, [hists_TTZ, hists_TTW, hists_TTTT], ['lepton_count', 'lepton_count_pass_miniiso'],\n",
    "                       ['Count of leptons passing pre-selection',\n",
    "                        'Count of leptons passing mini-iso Requirement'],\n",
    "                       shape = (1,2),\n",
    "                       enable_fill=True)\n",
    "can.Draw()"
   ]
  },
  {
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   "execution_count": null,
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   "outputs": [],
   "source": []
  }
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