{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "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",
    "from ROOT import gSystem\n",
    "\n",
    "import utils\n",
    "import plotter"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Info in <TUnixSystem::ACLiC>: creating shared library /home/caleb/Sources/TTTT/MiniTree_cpp.so\n"
     ]
    }
   ],
   "source": [
    "gSystem.CompileMacro(\"MiniTree.cpp\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<ROOT.TH1D* object at 0x1262ba0>"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Finished filling histograms for file TTTT_ext_treeProducerSusyMultilepton_tree.root\n"
     ]
    }
   ],
   "source": [
    "hc = ROOT.build_histograms(\"TTTT_ext_treeProducerSusyMultilepton_tree.root\")\n",
    "hc.delta_pt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Finished filling histograms\n"
     ]
    }
   ],
   "source": [
    "ret = ROOT.fill_histograms(\"TTTT_ext_treeProducerSusyMultilepton_tree.root\")\n",
    "#plotter.do_plots()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "ret.delta_pt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Finished filling histograms\n"
     ]
    },
    {
     "data": {
      "image/png": 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Obzc3zIj7YuVexOgDALzJ8T0KIQoOql9vQvpwt809Q+/3yd1m+omdDwYArqKIoNC27e12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\nAABkCQoAQJagAABk/X/aHvhzQY87wwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ROOT.fill_histograms(\"TTZToLLNuNu_treeProducerSusyMultilepton_tree.root\")\n",
    "plotter.do_plots()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Finished filling histograms\n"
     ]
    },
    {
     "data": {
      "image/png": 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HHD/rAQAolqAAAIQEBQAgJCgAACFBAQAIFT3r4e9Em0JdbL4KAHzABYOCQAAAe9H1AACE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\nzRHBTFSiAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ROOT.fill_histograms(\"TTWToLNu_treeProducerSusyMultilepton_tree.root\")\n",
    "plotter.do_plots()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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03EkGqREiab7vuWMCgNPaNSh0XXe5XOIIg61ec90C8YMOmK0KAwAns19QaJpm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\nQQEAqBIUAIAqQQEAqBIUAICq/w/eLdG1ejHSYwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "canvas.Clear()\n",
    "ROOT.delta_pt.Draw()\n",
    "ROOT.delta_pt.SetTitle(\"Hello, here is a title.\")\n",
    "canvas.Draw()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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Fltq2jTGmn47jeDqdNmkkHJIlCoC5ooPCMAzDMEwbUy0hhNB1XRreWFVV13U6JgDgQXa8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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "canvas.Clear()\n",
    "ROOT.lepton_count_vs_delta_pt.GetNbinsY\n",
    "norm = utils.normalize_columns(ROOT.lepton_count_vs_delta_pt)\n",
    "norm.Draw(\"ColZ\")\n",
    "norm.SetStats(0)\n",
    "norm.SetTitle(\"Hello, here is a title.\")\n",
    "canvas.Draw()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}