Tutoriais/Qiskit-tutorial#12.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Qiskit Tutorial 12 - Resumo geral de visualização de dados no Qiskit"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<div class=\"alert alert-block alert-info\">\n",
    "Nós já passamos por várias formas de visualizar dados no Qiskit: por histogramas, esferas de bloch,...\n",
    "<br/>\n",
    "Nesse tutorial vamos fazer um resumo geral, mostrar dicas e outras ferramentas úteis de visualização.\n",
    "</div>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from qiskit import *\n",
    "%matplotlib inline\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## `plot_histogram()`\n",
    "\n",
    "<div class=\"alert alert-block alert-info\">\n",
    "O plot_histogram é usado para visualizar o resultado da execução de um circuito.\n",
    "</div>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 381.432x204.68 with 1 Axes>"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "qc = QuantumCircuit(2,2)\n",
    "qc.h(0)\n",
    "qc.cx(0,1)\n",
    "qc.measure([0,1],[0,1])\n",
    "qc.draw(output='mpl')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "backend = Aer.get_backend('qasm_simulator')\n",
    "result = execute(qc,backend).result()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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NAcBvy+/fAfxLZr5MKUhP6MzCJEnqaToamr8G3hoRfwCcAzxabh8MvNiZhUmS1NP062D/24B5wA7gWWBhuX068GQn1iVJUo/TodDMzL+LiCXAaODRzHylvOgZYE5nFydJUk/S0SNNMrOO0qjZ5m0/7LSKJEnqoTo8uUFEXBERT0XEixExrtz2iYh4b+eXJ0lSz9HRyQ2uBq4DvgpEs0XPAR/txLokSepxOnqk+RHg0sy8A9jdrL0emNxpVUmS1AN1NDSPB5a10v4y0P/Ay5EkqefqaGiuBqa20n4usPzAy5Ekqefq6OjZLwB3RcRRlK5p1kTEnwF/Bczu7OIkSepJOnqf5tcjoh/wWeAoShMdPAdclZn3H4T6JEnqMfbnPs25wNyIOBbok5mbO78sSZJ6ng6H5h6Z+XxnFiJJUk+3z9CMiF8CMzJzW0Q8CWRbfTPzlM4sTpKknqTIkeYDQGOz922GpiRJvdk+QzMzb2z2/oaDWo0kST1YR6fR+2lEHNNK+8CI+GnnlSVJUs/T0ckNzgKOaKX9SOBtB1yNJEk9WKHRsxHRfBagUyJia7PPfYFzgPWdWZgkST1N0VtO6igNAErgkVaW7wSu7KyiJEnqiYqG5lhK0+atBt4M/KbZsl3A5sxs6uTaJEnqUQqFZmY+W37b4YdWS5LUWxSZ3OB84F8z8+Xy+zZl5nc7rTJJknqYIkea3wGGA5vL79uSlAYFSZLUKxWZ3KBPa+8lSTrcGIKSJBVU9JpmIV7TlCT1ZkWvaRbhNU1JUq/WoWuakiQdzgxESZIK8j5NSZIK8j5NSZIK8j5NSZIK6vIQjIgrImJNRLwUEUsios3ncEbEjIh4PCK2RMTOiPhVRFzbSr93R8TyiGgs//mug7sXkqTDUYdDMyKmRsR9EVFXfs1r8bzN9ta9ELgD+CxwGvA48FBEHNfGKjuAO4HpwCTgM8CNEXFFs23WAPcD/wScWv7z2xFR3dF9kySpPR0KzYh4P/Bz4I3Av5Vfw4AnIuIDBTZxDXBPZs7NzKcz80pgA3B5a50zc0lmfjMzn8rMNZn5j8DDQPOj06uBf8/Mm8vbvBmYX26XJKnTdPRI82ZgTmbOzMzry693AHMoHQW2KSKOAE7ntQ+xfgQ4s8gPj4jTyn0XNGuuaWWbDxfdpiRJRRV9CPUebwC+1Ur7tykFZ3uOpTS6dlOL9k3A2e2tGBHryj+7H3BjZt7dbPHwNrY5vI1tXQZcBjBixAjmz58PwLhx4zj66KNZunQpAEOGDGHy5MksXLgQgH79+jFt2jTq6+t54YUXAKiqqmLTpk3ACe2Vr0NUXV0dO3bsAKC6upp169axfv16ACZOnEjfvn1Zvnw5AMOHD2fs2LEsXrwYgP79+1NdXU1tbS07d+4EoKamhjVr1rBx40YAJk2aRFNTEytWrABg5MiRjBo1itraWgAGDBhAVVUVixcvprGxEYBp06axcuVKNm/eDMCUKVNobGxk1apVAIwePZphw4ZRV1cHwMCBA5k6dSqLFi1i9+7dAEyfPp2nnnqKLVu2AFBZWcn27dtZvXo1AGPGjGHw4MHU19cDMGjQICorK1mwYAGZSUQwY8YMli5dyrZt2wCYOnUqW7dupaGhATiw79PatWsBGD9+PBUVFSxbtgyAoUOHMmHCBBYtWgRARUUFNTU1+/V7gooO/m3QoWDDhg2d8n1qT2Rm4YIi4gfA9zLzay3aLwHenZl/1M66I4D1wIzMXNis/Xrg/Zk5sZ11xwIDgLcAnwf+MjPnlZftAi7JzPua9b8YmJuZ7X4zqqqqcs8/Lgfi0tsPeBPqgeZ6gr/X8jvbO3XWdzYilmRmVWvLOjph+0PALRFRBfys3PYW4Hzghn1s6nmgidI10OaGARvbWzEz15TfPhkRw8o/a165beP+bFOSpI7a3wnb957ibObLwFfa2khm7oqIJcBMSqdz95gJPFCgjj368OpzK4vL27i1xTYf78A2JUnap66esP02YF5EPAE8BnwEGAHcDRAR95V/5sXlz1cCa4AV5fWnA9fy6nC+A1gYEZ8Evge8C/hDYFon1i1JUocHAh2QzLw/IoYA11G6bWUZcG5mPlvu0vJ+zb6UrmGOAXYDzwCfpByy5W0+HhHvozR696Zynwszs/Yg7ook6TDU4dCMiEHAH1EKuCOaL8vMm/a1fmZ+hTZO42bmWS0+3w7s85J9Zn6H4s/9lCRpv3QoNCPiLcAPgUZKt4Csp3TE2Ag0UDrSkySpV+ro9cpbKU1TNxJ4CXg7pSPOOkqnUSVJ6rU6GpqnAHdl6ebOJqAiMzcBn2Dft5xIknRI62ho7mr2fhNwfPn9DkqjYCVJ6rU6OhCoHjgDWElpUvTPlCcb+ADwy84tTZKknqWjR5p/DTxXfn8d8BtKkxoM4rWTHUiS1Kt06EgzM+uavf8NpVtPJEk6LOzX5AYRcQJwUvnj8sxc3XklSZLUM3X0Ps0hwN8Ds4BX/qs5fgDMzswtnVyfJEk9RkevaX4NOBF4G3Bk+TUdGAvM7dzSJEnqWTp6evYc4L9l5uJmbY9FxP8Eftx5ZUmS1PN09EjzN8DvW2l/EfDUrCSpV+toaN4E3B4RI/c0lN9/EeedlST1cvs8PRsRTwLZrGks0BAR68uf98xDO5TSNU9JknqlItc0feSWJEkUCM3MvLErCpEkqafb38kN3g5MonTa9qnMnN+ZRUmS1BN1dHKDkcC/AKfzX3PQjoiIOuBdmflcmytLknSI6+jo2TspPUfzxMwcnZmjgfHltjs7uzhJknqSjp6enQmclZlr9jRk5uqIuAr4SadWJklSD9PRI0149e0n7bVJktSrdDQ0fwJ8OSJG72mIiOOA2/FIU5LUy3U0NK8C/gBYHRHPRsSzwDPltqs6uzhJknqSjl7T3AK8GTgLeFO57enMdLJ2SVKvVzg0I6Iv8DugMjMfBR49aFVJktQDFT49m5lNwLPAEQevHEmSeq6OXtP8P8DnIuLYg1GMJEk9WUevaV5L6Skn6yNiHS2erZmZp3RWYZIk9TQdDc3vULonMw5CLZIk9WiFQjMijgJuBf4EeB2lezKvzMznD2JtkiT1KEWvad4IfAj4IfAN4Gzgbw9STZIk9UhFT8+eD/x5Zn4TICL+CXgsIvqWR9VKktTrFT3SHA38vz0fMvMJYDcw4mAUJUlST1Q0NPsCu1q07WY/H2ItSdKhqGjoBfCPEdHYrO1IYG5EvLinITNndWZxkiT1JEVD895W2v6xMwuRJKmnKxSamfnhg12IJEk93f48hFqSpMOSoSlJUkGGpiRJBRmakiQVZGhKklSQoSlJUkGGpiRJBRmakiQVZGhKklSQoSlJUkGGpiRJBRmakiQVZGhKklSQoSlJUkGGpiRJBRmakiQVZGhKklSQoSlJUkGGpiRJBXV5aEbEFRGxJiJeioglEfG2dvq+MSL+OSJ+FRFNEXFPK30+FBHZyuvIg7ojkqTDTpeGZkRcCNwBfBY4DXgceCgijmtjlQrgeeBzQG07m34ReGPzV2a+1Fl1S5IEXX+keQ1wT2bOzcynM/NKYANweWudM7MhM6/KzHuAre1sNzNzY/NX55cuSTrcdVloRsQRwOnAIy0WPQKceYCb7x8Rz0bEuoj4QUScdoDbkyTpNfp14c86FugLbGrRvgk4+wC2uwKYDSwFjgb+EngsIiozc1XLzhFxGXAZwIgRI5g/fz4A48aN4+ijj2bp0qUADBkyhMmTJ7Nw4UIA+vXrx7Rp06ivr+eFF14AoKqqik2bNgEnHED56qnq6urYsWMHANXV1axbt47169cDMHHiRPr27cvy5csBGD58OGPHjmXx4sUA9O/fn+rqampra9m5cycANTU1rFmzho0bSydCJk2aRFNTEytWrABg5MiRjBo1itra0pWIAQMGUFVVxeLFi2lsbARg2rRprFy5ks2bNwMwZcoUGhsbWbWq9Fd99OjRDBs2jLq6OgAGDhzI1KlTWbRoEbt37wZg+vTpPPXUU2zZsgWAyspKtm/fzurVqwEYM2YMgwcPpr6+HoBBgwZRWVnJggULyEwighkzZrB06VK2bdsGwNSpU9m6dSsNDQ3AgX2f1q5dC8D48eOpqKhg2bJlAAwdOpQJEyawaNEiACoqKqipqdmv31Ppyo96mw0bNnTK96k9kZkHcRea/aCIEcB6YEZmLmzWfj3w/sycuI/1fwA8n5kf2ke/vsAvgH/PzKva61tVVZV7/nE5EJfefsCbUA809+rurkAHi9/Z3qmzvrMRsSQzq1pb1pXXNJ8HmoBhLdqHAZ12DTIzm4A6YHxnbVOSJOjC0MzMXcASYGaLRTMpjaLtFBERwCmUBhhJktRpuvKaJsBtwLyIeAJ4DPgIMAK4GyAi7gPIzIv3rBARp5bfDgReKX/elZnLy8s/DfwMWFXucxWl0Gx1RK4kSfurS0MzM++PiCHAdZTup1wGnJuZz5a7tHa/5n+0+Hwe8Cwwpvz5GOCrwHDgd+X+0zPzic6tXpJ0uOvqI00y8yvAV9pYdlYrbbGP7X0M+FinFCdJUjuce1aSpIIMTUmSCjI0JUkqyNCUJKkgQ1OSpIIMTUmSCjI0JUkqyNCUJKkgQ1OSpIIMTUmSCjI0JUkqyNCUJKkgQ1OSpIIMTUmSCjI0JUkqyNCUJKkgQ1OSpIIMTUmSCjI0JUkqyNCUJKkgQ1OSpIIMTUmSCjI0JUkqyNCUJKkgQ1OSpIIMTUmSCjI0JUkqyNCUJKkgQ1OSpIIMTUmSCjI0JUkqyNCUJKkgQ1OSpIIMTUmSCjI0JUkqyNCUJKkgQ1OSpIIMTUmSCjI0JUkqyNCUJKkgQ1OSpIIMTUmSCjI0JUkqyNCUJKkgQ1OSpIIMTUmSCjI0JUkqyNCUJKkgQ1OSpIIMTUmSCjI0JUkqyNCUJKkgQ1OSpIIMTUmSCjI0JUkqyNCUJKmgLg/NiLgiItZExEsRsSQi3raP/jPK/V6KiNUR8ZED3aYkSfujS0MzIi4E7gA+C5wGPA48FBHHtdF/LPBv5X6nAbcAX46Id+/vNiVJ2l9dfaR5DXBPZs7NzKcz80pgA3B5G/0/AjyXmVeW+88F7gWuPYBtSpK0X7osNCPiCOB04JEWix4BzmxjtZpW+j8MVEXE6/Zzm5Ik7Zd+XfizjgX6AptatG8Czm5jneHAj1vp36+8vejoNiPiMuCy8scdEbGiSPHa61jg+e4uoit87WPdXYHUKfzOdtzxbS3oytDsETLzq8BXu7uOQ1VE1GVmVXfXIakYv7OdqytD83mgCRjWon0YsLGNdTa20X93eXuxH9uUJGm/dNk1zczcBSwBZrZYNJPSiNfWLG6jf11mvryf25Qkab909enZ24B5EfEE8Bil0bEjgLsBIuI+gMy8uNz/buCjEXE78HfAW4EPARcV3aY6nae2pUOL39lOFJnZtT8w4grgr4A3AsuAj2XmwvKy+QCZeVaz/jOALwGTgeeAz2fm3UW3KUlSZ+ny0JQk6VDl3LOSJBVkaEqSVJChKUlSQYamJEkFHXYzAqnjImIUcCKlySReAVZkppNHSDrsOHpW7YqIy4HZQCXwe+A/gXXAz4DvZeaKiOiTma90Y5mS1CU8Pas2RcQQSs8p/T6le2BrKD2arQm4GLgzIiZl5isREd1XqSSA8tOfJkRERXfX0lt5pKk2RcSVwAcys7qVZdMoPRR8JPDmzDwsnqIg9WQRcTVwM/At4LvAz4HfZGZTsz4DKc2u9uPMfLlbCj2EeaSp9uwCjo6IKQARUVF+himZuQh4P/AS8I7uK1FSMxcCT1Aag/A9SvN33xoR0yLi9eU+fwp82sDcP4am2vMdSgN/ro6IozOzMTN3RUQfgMz8NfBbYFR3FikJIuINwMvA3Mx8G6VnQv498D+AhcBPI+ITwNVAbbcVeojz9Kxa1ewa5R8DdwCDKZ3y+QrwH5SCcjrwt8DJmdnQDWVKKouINwLvA5Zn5sMtlp0GXFJePggYnZnru77KQ5+hqXZFxDHAccCZwLsoXQuB0vNKA5iXmTd0T3WSmouI/kBm5kvNB+dl+R/6iLgZODczT+uuGg913qep14iIocCfAR+n9LDvnZROwy4CvgC8jtI1kx9l5sruqlPSq7NoXisAAAHvSURBVGXmzj1hmS2OiCLiKODdwNe7o7bewiNNvUZE3EPpUWz/CmyldGr2ZGACsBm4LjO9JiL1EOURsdtbBmWLPkdSGij0jczc1WXF9TKGpl6l/L/U7ZRO4Sxs1nYcUE3pusg44L2ZWd9thUraKyL+jtKo2SeAZzPzhVb6HJOZv+3y4noZR8+qpUnAGkq3mwCl0zyZ+Wxmfgs4j9Kp2gu6qT5JzUTERcClwBcpTURya0S8KyJOKF/j3HOt8949t49p/3mkqVcpf7l+ABxFadafZ1pOkVee9ODPM/PUbihRUjMRMZfSLF3/Fzgf+CBwArAC+DfgJ8BE4I7MPKK76uwtPNLUq2TmTuCvgf7AfcDFETE6IgbA3sEEM4Bl3VelJICI6EfpzNBvM3N1Zn4hM08GzgAWUArQbwFfBuZ1X6W9h0eaalX5NM4cYBalidoXA78BzgY2AJdk5pPdV6EkgIgYBAzLzF+VZ+x6ufmAoIi4EPgGMDUzf9FddfYWhqbaVb795J3An1CaMm8Z8O3M/FW3FiapTeVZuyIzmyLiUkqnZo/q7rp6A0NThfkIMOnQExHXAH0z89burqU3MDQlqReLiNcBTf6Ht3MYmpIkFeToWUmSCjI0JUkqyNCUJKkgQ1OSpIIMTUmSCjI0JUkq6P8DRwD0w+ahlOwAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 504x360 with 1 Axes>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from qiskit.tools.visualization import plot_histogram\n",
    "\n",
    "plot_histogram(result.get_counts(qc))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<div class=\"alert alert-block alert-info\">\n",
    "Podemos customizar o histograma na hora de exibir\n",
    "</div>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x360 with 1 Axes>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "counts = result.get_counts(qc)\n",
    "legenda = ['Meu resultado']\n",
    "plot_histogram(counts,color='red' ,legend=legenda)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<div class=\"alert alert-block alert-info\">\n",
    "Podemos exibir dois histogramas ao mesmo tempo para por exemplo comparar os resultados encontrados em um computador quântico real e no simulador\n",
    "</div>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python3.8/site-packages/qiskit/providers/ibmq/ibmqfactory.py:192: UserWarning: Timestamps in IBMQ backend properties, jobs, and job results are all now in local time instead of UTC.\n",
      "  warnings.warn('Timestamps in IBMQ backend properties, jobs, and job results '\n"
     ]
    }
   ],
   "source": [
    "IBMQ.load_account()\n",
    "provedor = IBMQ.get_provider('ibm-q')\n",
    "backend = provedor.get_backend('ibmq_valencia')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "job = execute(qc,backend)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Job Status: job has successfully run\n"
     ]
    }
   ],
   "source": [
    "from qiskit.tools.monitor import job_monitor\n",
    "\n",
    "job_monitor(job)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "result2 = job.result()\n",
    "counts2 = result2.get_counts(qc)\n",
    "legenda = ['Simulador','CQ Real']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x360 with 1 Axes>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "plot_histogram([counts,counts2],color=['red','green'] ,legend=legenda)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## `plot_state_city()`\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<div class=\"alert alert-block alert-info\">\n",
    "Podemos plotar em um histograma 3D um operador de densidade <br/>\n",
    "Para o exemplo vamos usar o circuito anterior\n",
    "</div>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<qiskit.circuit.instructionset.InstructionSet at 0x13129a640>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "qc2 = QuantumCircuit(2,2)\n",
    "qc2.h(0)\n",
    "qc2.cx(0,1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "backend_st = Aer.get_backend('statevector_simulator')\n",
    "result3 = execute(qc2, backend_st).result()\n",
    "statevector = result3.get_statevector()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x360 with 2 Axes>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from qiskit.tools.visualization import plot_state_city\n",
    "\n",
    "plot_state_city(statevector)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## `plot_state_paulivec()`\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<div class=\"alert alert-block alert-info\">\n",
    "Podemos plotar em um histograma que mostra os operadores de Pauli que compõem o operador de densidade \n",
    "</div>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x360 with 1 Axes>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from qiskit.tools.visualization import plot_state_paulivec\n",
    "\n",
    "plot_state_paulivec(statevector)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## `plot_state_hinton()`"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<div class=\"alert alert-block alert-info\">\n",
    "Funciona igual ao plot_state_city, porém é 2D e o tamanho de cada elemento representa seu valor na matriz</div>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x360 with 2 Axes>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from qiskit.tools.visualization import plot_state_hinton\n",
    "\n",
    "plot_state_hinton(statevector)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## `plot_bloch_multivector()`"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<div class=\"alert alert-block alert-info\">\n",
    "Mostra os estados dos qubits em uma esfera de bloch</div>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x288 with 2 Axes>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from qiskit.tools.visualization import plot_bloch_multivector\n",
    "\n",
    "plot_bloch_multivector(statevector)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " <div class=\"alert alert-block alert-warning\"><b>Dica: </b> Podemos rotacionar a esfera de bloch com o seguinte comando </div> "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib notebook \n",
    "# Repare que não está escrito inline como geralmente"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " <div class=\"alert alert-block alert-warning\"><b>OBS: </b> Esse comando pode ser útil também para plot_bloch_vector() e plot_state_city() </div> "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support. ' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option);\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width / mpl.ratio, fig.canvas.height / mpl.ratio);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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wIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwYMGDBgwIABAwaeBwaEmAABu9dxOAAAAABJRU5ErkJggg==\" width=\"576\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support. ' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option);\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width / mpl.ratio, fig.canvas.height / mpl.ratio);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"576\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_bloch_multivector(statevector)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Para voltar ao normal é necessário apenas rodar o comando original\n",
    "\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## `plot_bloch_vector()`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from qiskit.tools.visualization import plot_bloch_vector\n",
    "plot_bloch_vector([1,0,0])"
   ]
  }
 ],
 "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": "3.8.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}