{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# matplotlib学习之基本使用"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 目录\n",
    "  ### 1.figure学习\n",
    "  ### 2.设置坐标轴\n",
    "  ### 3.Legend 图例\n",
    "  ### 4.Annotation 标注\n",
    "  ### 5.tick能见度\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 1.figure学习"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import  matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "#导入包"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "x=np.linspace(-3,3,50)#产生-3到3之间50个点"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "y1=2*x+1#定义函数\n",
    "y2=x**2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x217d02584a8>]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x217cff762e8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 绘制直线\n",
    "plt.figure()\n",
    "plt.plot(x,y1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "曲线与直线绘制一块"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x217cff89898>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# num=3表示图片上方标题 变为figure3，figsize=(长，宽)设置figure大小\n",
    "plt.figure(num=3,figsize=(8,5))\n",
    "plt.plot(x,y2)\n",
    "# 红色虚线直线宽度默认1.0\n",
    "plt.plot(x,y1,color='red',linewidth=1.0,linestyle='--')\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2.设置坐标轴"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[-1.   -0.25  0.5   1.25  2.  ]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x217d019dba8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# num=3表示图片上方标题 变为figure3，figsize=(长，宽)设置figure大小\n",
    "plt.figure(num=3,figsize=(8,5))\n",
    "plt.plot(x,y2)\n",
    "# 红色虚线直线宽度默认1.0\n",
    "plt.plot(x,y1,color='red',linewidth=1.0,linestyle='--')\n",
    "\n",
    "plt.xlim((-1,2))#设置x轴范围\n",
    "plt.ylim((-2,3))#设置轴y范围\n",
    "\n",
    "#设置坐标轴含义， 注：英文直接写，中文需要后面加上fontproperties属性\n",
    "plt.xlabel(u'价格',fontproperties='SimHei')\n",
    "plt.ylabel(u'利润',fontproperties='SimHei')\n",
    "\n",
    "# 设置x轴刻度\n",
    "# -1到2区间，5个点，4个区间，平均分：[-1.,-0.25,0.5,1.25,2.]\n",
    "new_ticks=np.linspace(-1,2,5)\n",
    "print(new_ticks)\n",
    "plt.xticks(new_ticks)\n",
    "\n",
    "# 设置y轴刻度\n",
    "'''\n",
    "设置对应坐标用汉字或英文表示，后面的属性fontproperties表示中文可见，不乱码，\n",
    "内部英文$$表示将英文括起来，r表示正则匹配，通过这个方式将其变为好看的字体\n",
    "如果要显示特殊字符，比如阿尔法，则用转意符\\alpha,前面的\\ 表示空格转意\n",
    "'''\n",
    "plt.yticks([-2,-1.8,-1,1.22,3.],\n",
    "           ['非常糟糕','糟糕',r'$good\\ \\alpha$',r'$really\\ good$','超级好'],fontproperties='SimHei')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x217d0452128>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# num=3表示图片上方标题 变为figure3，figsize=(长，宽)设置figure大小\n",
    "plt.figure(num=3,figsize=(8,5))\n",
    "plt.plot(x,y2)\n",
    "# 红色虚线直线宽度默认1.0\n",
    "plt.plot(x,y1,color='red',linewidth=1.0,linestyle='--')\n",
    "# 设置边框/坐标轴\n",
    "gca='get current axis/获取当前轴线'\n",
    "ax=plt.gca()\n",
    "# spines就是脊梁，即四个边框\n",
    "# 取消右边与上边轴\n",
    "ax.spines['right'].set_color('none')\n",
    "ax.spines['top'].set_color('none')\n",
    "\n",
    "\n",
    "# matlibplot并没有设置默认的x轴与y轴方向，下面就开始设置默认轴\n",
    "ax.xaxis.set_ticks_position('bottom')\n",
    "ax.yaxis.set_ticks_position('left')\n",
    "\n",
    "\n",
    "# 设置坐标原点\n",
    "# 实现将(0,-1)设为坐标原点\n",
    "# 设置y轴上-1为坐标原点的y点,把x轴放置再-1处\n",
    "ax.spines['bottom'].set_position(('data',-1)) # 也可以是('axes',0.1)后面是百分比，相当于定位到10%处\n",
    "# 设置x轴上0为坐标原点的x点，将y轴移置0处\n",
    "ax.spines['left'].set_position(('data',0))\n",
    "\n",
    "# 再写一遍以下代码，因为以上使用set_position后，中文会显示不出来\n",
    "\n",
    "plt.yticks([-2,-1.8,-1,1.22,3.],\n",
    "           ['非常糟糕','糟糕',r'$good\\ \\alpha$',r'$really\\ good$','超级好'],fontproperties='SimHei')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 3.Legend 图例"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.figure.Figure at 0x217d04ae748>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x217d04ae0b8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import  matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "x=np.linspace(-3,3,50)\n",
    "y1=2*x+1\n",
    "y2=x**2\n",
    "# 绘制直线\n",
    "plt.figure()\n",
    "# plt.plot(x,y1)\n",
    "# 曲线与直线绘制一块\n",
    "# num=3表示图片上方标题 变为figure3，figsize=(长，宽)设置figure大小\n",
    "plt.figure(num=3,figsize=(8,5))\n",
    "\n",
    "# 设置x轴范围\n",
    "plt.xlim((-1,2))\n",
    "# 设置轴y范围\n",
    "plt.ylim((-2,3))\n",
    "# 设置坐标轴含义\n",
    "# 注：英文直接写，中文需要后面加上fontproperties属性\n",
    "plt.xlabel(u'价格',fontproperties='SimHei')\n",
    "plt.ylabel(u'利润',fontproperties='SimHei')\n",
    "\n",
    "# -1到2区间，5个点，4个区间，平均分：[-1.,-0.25,0.5,1.25,2.]\n",
    "new_ticks=np.linspace(-1,2,5)\n",
    "# print(new_ticks)\n",
    "plt.xticks(new_ticks)\n",
    "\n",
    "plt.yticks([-2,-1.8,-1,1.22,3.],\n",
    "           ['非常糟糕','糟糕',r'$good\\ \\alpha$',r'$really\\ good$','超级好'],fontproperties='SimHei')\n",
    "\n",
    "# 设置legend图例\n",
    "\n",
    "l1,=plt.plot(x,y2) # 可添加label属性，只不过如果这里添加了，下面legend再添加，下面的就会覆盖此处的！\n",
    "# 红色虚线直线宽度默认1.0\n",
    "l2,=plt.plot(x,y1,color='red',linewidth=1.0,linestyle='--')\n",
    "'''\n",
    "prop={'family':'SimHei','size':15}显示中文\n",
    "legend(hadles=[,,],labels=[,,],loc='best/upper right/upper left/.../lower right')\n",
    "handles就是你给他添加legend的线,如果要用handles，则前面的plt.plot，必须用l1,形式(不要忘记逗号)\n",
    "此处labels会覆盖上述的plt.plot()的label\n",
    "loc默认是best,给你放在一个合适的位置上，如果你拉伸弹框，位置会跟着变，自动放置合适位置\n",
    "'''\n",
    "plt.legend(handles=[l1,l2],prop={'family':'SimHei','size':15},loc='lower right',labels=['直线','曲线'])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 4.Annotation 标注"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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kZv5xXtjN2i0GLDko9ly8LlQqldxlke5RK3vrGtRNBFAggA3VPOYopP2oP++b/nbZdLOy+33L7g+qMM9q4eBQt6cXHi6Vf+xY+bR33xV1Xk5RkRQKK1dWfSw6WlrH+PGVp3/7rTT9zh3p/pYt0v0//6w83/Ll0rJLSx+8/tpqXr5cCGNjIcLCKk+fOlWIVq3K79/dHs88U3m+iROl6X/8UT6ttFRa5pIl5dPq8xwetA3rsswbN6Q3Fh9/LAWZkZEQv/1W+zrU8dNPUh3JyVXrMDWVQvRBvv1WCIVCCumKnnpKiDZtpDBX16pV0rJOnCifNn++EC1aSG9gMjLUX1YDYljXjVKpEr+cShC9F+wTPWYHiyXBUSKvsETuskh3qZW/dR0GdwLQDMC5ah7zLPv62X3T2wDIgRB3xz37QLpa2fkK86QhNlYa5rx4Ub1Kzp6VhiB79y6f1q4d6rycyEiguFga4r5feLj0dcmSytMzMoDmzaVhTEAa1hw8WBrKLi0tv7m4SMuuaWizppqFAFatAp55BvD0rPyYvT2QmQkUFkr3z56Vvt4/1JufLw2fVxwyLiiQ6mvdunxafZ7Dg7ZhXZZpYwO8/z6wdi0wbZo07P/MM7WvQx3h4dJ27tSp8vQzZwBXV2lY/UE2bQL8/KRbRU5O5cPogPT90KFVf76i9esBf3/p0MRd1tbSIYoPPyz/fahU0rbTnqsLUpmIlGxMWP8PPv3vRfRsZ4Xgdwdh9ihntrAkjatrWHuUfT1fzWN9AcRDiPuPZfcBcOG++1chRE6Facsxbx7w3/9KweLgAKxbV3MlZ89KJ341b14+7eOPUeflnDkjveB6eFT/WNeugKNj1XW7u0vfx8UBMTHAsWPSi37F26hR0jwtWjx4/TXVfOUKkJxcvpyKkpKkY8/NmpXX1KVL9bU+/njlaefLfn133+jU9zlUtw0fZpkODtIxaR8fYPr02tehrjNnqg/5s2eBPn0e/HM3b0rHkkeOrPrYjRvSG4y7Wraseh5DRampQHR01d9lcTHQqpUU1nddvAj89lv5GwGSXU5hCT4PisSYdceReOsOvnmmN36bNgCONmxhSY2jrm8H7+7GVhfWngDOVDO9D4Cd990/W2kOIYoASB/LiYoC5s+XTobq27fyXkhF1b3QmppKy6jrcu4P/bvCwx/8Ij92rPR9Sor0ddMmwM2t6rxGRtUvW52aVSppnoqhAEh7XIcPA8OGVa7p/lpTU6Xb/dPPngWaNCl/w1Hf51DdNqzrMg8flvaofXyAEyekNxQVR01q+j3VRAjg3DnpZLWK0tKkE7vuf1NQUUKC9LVDh8rTlUpgzx5gwoTyafPnA8bG0tfqxMZKX7t1q7ycrVul52VV9qIfFSUFekmJ9MZkxAhg2bLanyfVW26u9B4pJkZ63/jss4ClZeXOWJP6d8FjrXIRtHU5nuqzUu6SyYDUNaw9AMTdt1eMssarfQAsv296SwB2uBvOCoURAHcAD+7X5+IiDYf++ac0ZFodlQq4cAEYPfrBlaqzHEB6cazuo0BCSAHx8ceVp9++Lb2I332jcHdo1dS0/p/Fvr/muy/ssbGVg3nTJmlY+LvvpPt3t8fMmZWXd3do/P43NWfPSsO4d4fx6/scqtuGdVnmmTPAuHHA668DK1cCPXsCn30GBAfXvA51XL0KZGVJb04qWrtW2m417albl3VBio6uPP3LL6W/g2nTyqeFhwNvv/3gZRmVDWJlZpZP++476XlVfDPl4iJ9jrxHD+lvgRrF8ePSeySVSjpyZGEBfLwwD4/MiEDULakz1uwBFtj2bQA2h4Zi4cKF7DdNjeph9qxPVDO9B4AWqLpnfTcl7k53AGCJinvWCsW3AMzw00/SC/zVq8DixdJHfR59tPoqYmKAvLzKITR9unQsdvhw9ZcDSC/IZ84A+/ZJw7IODtKxw7sfd6purxQon961q3Ss8r33pL213r2BO3ekYeADB6ThbaMHHG2oreYmTaRjnAsWlH/sad8+4JtvpGOagwZV3h7V1WppKT2n+6dXnLc+z+FB21DdZcbGSsPM/v5SgBoZSR/hmjJFGkIfPLjm31NIiPRGZuNG4OWXq9Z296I2GzYAnTtLx6737y//uFZYWPlH8u7n4CD9jX39tfR5/h49gKAgKWTXri0fmQAePApzV+/eUt0LF0pfk5OlN1cTJgC7dkl76kOHSoc1wsOl3TpqFLm5UlDn5kr3FcZKNPWMQfN+1xCR0gRvDWiBqOBAvLlwL2bNmoWffvoJZtX9vRBpkrpnognApuws7oBqHnu27DGb+6Z/JIBCARiX3X+uynzADAGcEK1bC9GsmfSxqHnzhMjJefC5c7/8Ip3de+NG+bQ1a4R45BFRp+UIIcTFi0L06yf9DCDE339L03/9teo6hCg/g7ikwtmfGRnSx6G6dZMea9dOiMGDpZpqok7NGRlCTJ4sRPv20seHHnmk6tnVd7fH9euVp0+cKMSjj1aeVlxc/VnVD/schHjwNqxtmTduSI/5+gpRWFi+vNJSIZychPDxqX0dR45I9zdtqr62WbOks+Y3bxbCxkYIS0shXnxRiOBg6QzsiuuoTkKC9HExCwshzMyEGDiw6kfAkpKE6NCh9u20f78Qrq7SR+w6dhRi2zbpo2re3tLZ73l50nO3spK+bySGfjb4999Lv15ACDP7VNHpzUPCbtZu0XLYEWHUdJgwNbUUEydOFNu2bRNBQUEiODhY7Nu3Txw/flwkJiaK0po+KUFUO7UymP2sSb/dPYtbk9d237lT2nPftav+y0pOlvbQ09Lqvyw1GXo/61mzgG/+cwcth0VCVfgziq7fRmGCF0pvPwLgMZiaCnh4OMPGxgZKpRJKpRKlpaXIyclBYmIiMjIy0LFjR9jZ2aFLly5Vvnbp0gUWFhZyP03SXuxnTYSzZ6Vj4ZpU2xB4XXToIB3jd3SUzsmoy9XRqM6KSpW42ToOHV+LgRAKXN/wD5S5oQDiAbwDc/NMTJmyG6GhixEdHY1PP/0UkyZNQtMKH/crKipCcnIyEhMTkZCQgISEBJw6dQq///47EhMTkZiYCCsrK3Tp0gVdu3aFj48P/Pz84O7uzuPepDbuWZP+SkiQjp3//jvw9NNyV6O1DHXP+nhMBubvjMC1jHwUX7VB2j4XKHNHAggB4AvgKKyspMsBWFgIHDlyBEuWLEFMTAxmzpyJt99+W62wValUSEtLQ2JiIq5evYpjx47hwIEDyM3NxfDhw+Hv74/hw4ej0/3XASBDodY7NoY1kYEztLC+mVOIL4IvYdf567BrbY4FY1xhnN4Oo0YB+flDoFKFwMjIFxYWR/HXX8DAgZV/PjQ0FBs2bMCKFStgZfXwn7OOi4vDgQMHcODAARw+fBg2Njbw8/ODn58ffH19YWlpWc9nSjqCYU1EtTOUsC5VqrD1ZAK+KeuM9faQHpU6Y+XlAZ6eQ3DlSgh69vRFePhRNFZeKpVKnDlz5l54nz59Gp6envDz84O/vz+8vb05ZK6/eMyaiAgAwhNuY+6OCFy6kYPBPdti4RhXdG1T+aQvS0vplIErV6Svjblj26RJE3h7e8Pb2xufffYZ8vLy7g2Xv/TSSzA2NsZ7772HF198Eebm5o1XGGmNh2mRSUSkEzLzizFr+wVM+O4f3M4vxneT+mLLq95VglrbWFpaYtSoUVi5ciWio6OxZs0a7N69G3Z2dpg1axYSExPlLpEaGcOaiPSOSiXwa2giHltxFH+eSca0wd1x6CNfjOzVQeeGkxUKBYYNG4agoCD8+++/KC4uRp8+ffD000/j+PHj0KJDmaRBDGsi0iuR17MxUU87Y/Xo0QMrV65EfHw8Bg8ejFdffRVeXl7YunUrioqK5C6PNIgnmBEZOH05wSy3sATfHLiCLf/Eo6W5CWaPcsaEvp3qtCe9efNmxMfHo2vXrnjllVc0V2wDUalU2LNnD1avXo2LFy9i2rRpePPNN2Fzf/Mf0mY8G5yIaqfrYS2EwK4LN/DF7iikl3XG+sTfCS3Ma+hTroeioqKwZs0a/Pbbb5g4cSIWLlyIDvd3jCNtpFZYcxiciHRWbFoeJm04hXd/OYv2zZthx9uP4otxvQwuqAHAxcUF69evx9WrV9GyZUu4ublh8eLFKCgokLs0agAMayLSOQXFSny9LxojVx/DxZRsLBrrih3TH0XvztZylya7Vq1a4auvvkJoaCjOnj0LJycn/PLLLzwRTcdxGJzIwOnaMPjBqJsICIpESlYBxvfthNkjndHWyrRBlq1rx6zVcezYMXzwwQcwMTHB999/Dzc3N7lLosp4zJqIaqcrYZ2UeQcLdkXh4KWbcGhniUXj3DCge+sGXceQIUMQEhICX19fHD16tEGXLSeVSoVt27ahefPmGDdunNzlUGW8ghkR6b7iUhW+//sa1h6OgQIKzB7phCkDu6FpEx7FU5eRkRFefvllucugemBYE5HW+ic2A/N2RuBqej5GuNpg3pMu6GRtJndZRI2OYU2kZ5KSkvDyyy8jNTUVRkZGmDp1Kt577z25y6qTtJxCLP7rEnaeu44urcyx6RVvDHVqJ3dZRLLhOBKRnjE2NsaKFStw6dIl/Pvvv/j2228RFRUld1lqKVWqsOlEHIatCMGei6l4d5gD9n8w2KCCevv27ZgwYQLs7OxgZmYGR0dHzJ49G7m5uXKXhuTkZMyYMQM+Pj4wNzeHQqFAfHy8xte7b98+PPbYY7CxsYGpqSlsbW3xzDPP6MzfdUNgWBPpmQ4dOqBv374AACsrKzg7OyMlJUXmqmp3JvE2xqw7gQW7ouDRxRr7PhiMD/163mthaSiWL1+OJk2aYMmSJdi7dy/eeustfPfdd/Dz84NKpZK1ttjYWPz+++9o2bIlBg0a1GjrzczMhKenJ9atW4f9+/dj6dKliIyMxIABA5CQkNBodchKCKEtNyJqYHFxcaJz584iOzv7gfN4eno2YkVVZeYViU//PC/sZu0W/RcfFMEXrguVSiVLLb6+vgKA8PX1lWX9QgiRlpZWZdqWLVsEAHHo0KEGXZednZ0ICAhQe36lUnnv+++//14AEHFxcQ1ak7qio6MFALF8+XJZ1t+A1MpI7lkT6am8vDxMmDABq1atQvPmzSs9FhgYCC8vL3h5eSE9PV2W+lQqgd9PJ+GxFUfxe1gy3hjUDQc/8sUoHeyM1ZDatm1bZZq3tzcAVBohiY2NRdOmTREQEFBp3rfeegtWVlYa+TiekZH2REbr1tLH9po2NYyr1fEEMyI9VFJSggkTJmDSpEkYP358lcenTp2KqVOnApA+Z93Yoq7nYN7OCIQn3IaXXUt88ZQbnGya1/6DGubh4VHpq7YICQkBADg7O9+bZm9vj9dffx0rV67EjBkz0KZNGyxcuBAbN25EcHCwLL/X6gghoFQqa51PoVCgSZOaD3kolUoolUokJCTg008/hY2NDZ577rmGKlWrMayJ9IwQAq+99hqcnZ3x4Ycfyl1OJbmFJVh5IAZbTsajhVlTfD3RHRP62sLISDv2pFetWiV3CVWkpKRg/vz5GD58eJUADggIwNatW/Hll1/CyckJCxYswC+//ILhw4dXWc6DQlOlUqG0tPTefXVCsy5CQkIwdOjQWudT50I0/fv3R3h4OADpzcrhw4fRrp1hnHzIK5gR6Znjx49j0KBB6NWr171hyyVLlmDUqFHVzt8YVzATQmD3hRtYVNYZ6/l+XTDzcUdYm5todL26Li8vD0OGDMH169cRGhoKW1vbKvPMmTMHK1asQGlpKVavXo3p06dXu6yjR482WGgCwIYNG/DGG28gLi4OXbt2feB8ubm5uHz5cq3Ls7KygqOjY43zXLp0CTk5Obh27RqWL1+Omzdv4vjx4zWuXwfwCmZEhmjgwIFa1bThWnoe5u+MxPHYDLh1ao7Al73gwYYbtSosLMSYMWNw7do1hISEVBvUAODg4ICioiIMHDjwgUENAJ6enjh9+nSlaWPGjMHo0aPvHRIBpNBsSJaWlmodVlDnPIW7hwH69++PkSNHomvXrli2bBnWr19f7zq1HcOaiDSioFiJ/zsai/+EXINpUyMsHOuKSf3t0ERLhryrc+7cOWRlZcHa2lrW49Z3zznvQ8OwAAAXyklEQVQIDQ3FwYMH0atXr2rnO3z4MKZNmwYfHx+cOHEC58+fR+/evaud18rKqsowuomJCTp27KjR49sNOQxekbW1Nezt7REbG1uP6nQHw5qIGtyhS1JnrOTbBXiqTyfMHuWEdlbN5C6rVu+//77sjTxUKhUmTZqEQ4cOITg4GAMGDKh2vjNnzmDcuHH3TjLr2bMnPvvsMwQHBzdyxTWrbo++OnXdo7958yaio6MxadKkhy1NpzCsiajBJN+WOmMdiLoJ+3aW+OWNAfDp0bCdsfTd9OnT8ccff2DOnDmwsLDAv//+e+8xW1tb2NraIjY2FiNHjoS/vz/Wrl0LIyMjBAQEYMqUKTh27BgGDx6ssfq2b98OAPdO9NqzZw/atm2Ltm3bwtfXt8r81e3R19VTTz2Fvn37wt3dHc2bN8eVK1ewcuVKGBsb46OPPqrXsnWGuh/IboQbEcmgIS6KUlSiFN8eiRGOc/8STnP3iO+OxoqiEmXtP6hltOGiKHZ2dgLSCbdVbgEBAeLGjRuiW7duwtfXVxQWFt77udLSUuHk5CR8fHzqtK66XBRFCPHA2jS5zZYtWyb69u0rWrRoIczMzETPnj3F1KlTZbsgSwNTKyN5NjiRgavv2eD/XM3AvB1SZ6zHXdtj/pOuOtsZS1/7WZNW49ngRKQ5abmFWBJ8CTvOXUfnVmbY+IoXHnNqL3dZRHqJYU1EdVKqVGHbvwlYsf8KikpVePcxe7w91N7gGm4QNSaGNRGp7WzibczdEYHI6zkY5NAGC8e6oVsbC7nLItJ7DGsiqtXt/GJ8te8yfj2diHZWpvj2hb4Y1cvGoBtuEDUmhjURPZBKJbD9TDKW7YlGdkEJpjzaDR/49YSlKV86iBoT/+OIqFqXbuRg3o4IhJV1xlo0zg3OHeTvjKVJPAOctBXDmogqySsqxcoDV7D5H+3sjEVkiBjWRARAukBS8EWpM1ZaLjtjEWkThjUR4Vp6HgKCIvF3TAZcOzbH+hc90adLS7nLIqIyRnIXQETyKSxR4mZOIUas+hvnErOwYIwrgt4ZaLBBPWTIECgUCgwZMkTuUogq4Z41kYE6Ep2G+UERSMstwtvuHXSmMxaRIWJYExmYlKwCLAiKxP6yzljd2lhg5bPy9W4motoxrIkMRHGpCj8cj8OaQzEAgFkjnPDawG545Ge+DBBpO/6XEhmAk1dvYd7OCMSm5cHfpT3mP+kC25bmcpdFRGpiWBPpsbTcQiz9Kxr/O5vCzlhEOoxhTaSHlCqBn04l4Ot9l1FUws5YRLqOYU2kZ84lZWHujouISMnBQPs2WDjWFd3bWspdFhHVA8OaSE9k3ZE6Y/0SKnXGWvt8H4x278DOWER6gGFNpONUKoE/zyRjaYXOWO8Pd4BVs6Zyl6ZzVq1ahaysLFhbW8tdClElDGsiHRadKnXGOh1/G552LfGFAXTG0iQPD37enLQTw5pIB+UVlWLVgSvY9E88mjczxlcT3TGRnbGI9BbDmkiHCCHw18VULNwdibTcIjznLXXGamnBzlhE+oxhTaQj4jLyMX9nxL3OWN+96Im+BtpwQ1Pef/99nDt3Dh4eHli1apXc5RDdw7Am0nKFJUr839GrWH/0KkyNjfD5ky54cYAdjJuwaV5DO3fuHEJCQuQug6gKhjWRFjsSnYaAoEgkZt7BOI+O+OwJZ3bGIjJADGsiLZSSVYCFuyKxL/ImerS1wM9v9McjPdrIXRYRyYRhTaRFiktV2HgiDqsPxkBAYOYIR7w+sDtMjDnkTWTI+ApApCX+vXYLT6z5G8v2RGOQQxsc/NAXbw+xf6ig3rt3LxwdHWFvb49ly5ZpoFoiakzcsyaSWXpuEZb+dQn/PZsC25Zm+GGyF4Y5P3xnLKVSienTp+PAgQOwtbWFt7c3xowZAxcXlwasmogaE8OaSCZKlcDPpxLwVVlnrBmP2ePtIfYwM6lfZ6zQ0FDY29uje/fuAIDnnnsOO3fuZFgT6TCGNZEMziVlYd6OCFxMycaj9q2xcKwbejRQZ6yUlBR07tz53n1bW1ucOnWqQZZNRPJQCCHkrgEAMGLECJGRkdGgy0xPT0fbtm0bdJm6ituiMrm2h1IlkJpTiMz8YhgbKdDR2gwtzBq24cbt27eRk5MDOzs7AMCtW7eQn5+PLl263JsnPT0dd//fioqKeE3sMrdu3cLt27fRsmVLtG7dWu5ytAJfO8ppYluEh4fvE0KMqG0+rQlrAA1eiJeXF8LCwhp6sTqJ26Kyxt4eQghsD0/Gsj3RyCoowWSfrvjATzOdsU6ePInPP/8c+/btAwAsXboUADB79uxq57ewsEB+fn6D16Gr+L9SGbdHOQ1tC7Uu6M9hcCINq9gZq28Xa/w4rhdcOmquM5a3tzdiYmIQFxeHTp064ddff8XPP/+ssfURkeYxrIk0JK+oFKsPXsHGE2WdsSa4Y6Kn5jtjGRsbY926dXj88cehVCoxZcoUuLq6anSdRKRZeh3WU6dOlbsErcFtUZkmt4cQAnsiUrFwVxRScwrxfL/OmPm4U6N2xho1ahRGjRql1rxt2vDKaBXxf6Uybo9ycm4LvT5mTdTY4jLyERAUiWNX0uHSoTm+eMpN6ztj8Zgkkax4zJqosdzfGSvgSRe8xM5YRNRA9PqVZN68eXB3d4eHhwf8/f1x/fp1uUuS1SeffAInJye4u7vjqaeeQlZWltwlyeqPP/6Aq6srjIyM6rVneeRyGvxXHsOaQzEY2csGhz7yxauPdtOJoN67dy8iIiJ4WVIAU6ZMQbt27eDm5iZ3KbJLSkrC0KFD4ezsDFdXV6xevVrukmRVWFiIfv36oXfv3nB1dUVAQEDjFyGE0JZbg8vOzr73/erVq8W0adM0sRqdsW/fPlFSUiKEEGLmzJli5syZMlckr6ioKBEdHS18fX3F6dOn6/zzKbfviGlbw4TdrN1i6PIj4kRMugaq1JzS0lLRvXt34ebmJoqKioS7u7uIjIyUuyzZhISEiPDwcOHq6ip3KbK7fv26CA8PF0IIkZOTIxwcHAz6b0OlUonc3FwhhBDFxcWiX79+4uTJkw21eLUyUq+HwZs3L/94TH5+PhQKzZ6Fq+38/f3vfT9gwABs375dxmrk5+zs/FA/V6JUYePxOKw+FAOVEPjkcUe8MUj3OmPdvSzprVu3YGJiYvCXJR08eDDi4+PlLkMrdOjQAR06dAAAWFlZwdnZGSkpKQb7t6FQKGBpKV1hsKSkBCUlJY2eJ3od1gAwZ84cbN26FS1atMCRI0fkLkdrbNy4Ec8++6zcZeicU9duYe6OCMSk5WG4c3sEPOmCzq3M5S7rody9LOmtW7cA8LKkVL34+HicPXsW/fv3l7sUWSmVSnh6eiI2NhbTp09v9O2hW7sC1Rg+fDjc3Nyq3Hbu3AkAWLx4MZKSkjBp0iSsW7dO5mo1r7btAUjbxNjYGJMmTZKx0sahzvZQR3puET787RyeDfwXBSVKbHjZCxsme+lsUAPSIbD7GfroE1WWl5eHCRMmYNWqVZVGKg1RkyZNcO7cOSQnJyM0NBQRERGNun6d37M+ePCgWvO98MILeOKJJ7BgwQINVySv2rbHli1bsHv3bhw6dMggXpjV/ft4kIqdsQpLlJg+tAfeGepQ785Y2sDW1hZJSUn37icnJ6Njx44yVkTapKSkBBMmTMCkSZMwfvx4ucvRGtbW1hgyZAj27t3bqCcj6vyedU1iYmLufR8UFAQnJycZq5Hf3r178eWXXyIoKAjm5rq7R9hYzidlYdy3JzBvZyTcbVtgz3uD8cnjTnoR1ED5ZUmLiopQXFyMX3/9FWPGjJG7LNICQgi89tprcHZ2xocffih3ObJLT0+/9+mZgoICHDx4sNHzRK8vijJhwgRcvnwZRkZGsLOzw/r169GpU6eGXo3OsLe3R1FR0b1uQgMGDMD69etlrko+//vf/zBjxgykp6fD2toaHh4e2LdvH7LvlODr/dH46VQi2liaYt5oFzzp3kEvRyL++usvjB8/Hp06dcKUKVMwZ84cuUuSzfPPP4+jR48iIyMD7du3x4IFC/Daa6/JXZYsjh8/jkGDBqFXr14wMpL26ZYsWaL2VfH0zYULFzB58mQolUqoVCo888wzmD9/fkMtXq0XFr0Oa6K6EELgv2dSsOSvS7h9pxiTH+mKD/x6orkGOmNpE17BjEhWvIIZkboup+Zi3o4IhMZnok8Xa2x9rR9cO7aQuywiIgAMazJw+UWlWH0oBhuPx8GymTG+nNALT3t21nhnLCKiumBYk0ESQmBvRCoW7o7CjexCPOfdGTNHOKFVI3bGIiJSF8OaDE58WWeskCvpcO7QHOte6AtPO+3ujEVEho1hTQajsESJ9SFX8X9Hr8KkiRHmj3bByz7sjEVE2o9hTQbh6OU0BARFIuHWHTzZuyPmPuGM9s2byV0WEZFaGNak165nFWDR7ijsiUhF9zYW2PZafwx0aCN3WUREdcKwJr1UolRh04k4rDoYA6VK4GP/nnhjcHeYGuvH1ceIyLAwrEnvhMZlYt6OCFy+mYthTu3w+RhXnW64QUTEsCa9kZFXhKV/RePPM8noZG2GwJc84e9qI3dZRET1xrAmnadUCfwSmoiv9kajoESJt4f0wDuP2cPchH/eRKQf+GpGOu1icjbm7riI88nZ8OneGovGucK+nZXcZRERNSiGNemk7IISLN93GdtOJaCNpSlWP+eBMb076mVnLCIihjXpFCEE/ndW6oyVmV+MyT5d8aG//nfGIiLDxrAmnXHlZi7m7ohAaFwmPDpbY/Or/eDWiZ2xiEj/MaxJ6+UXlWLN4Rj88HccLEyNsXR8Lzzrxc5YRGQ4GNaktYQQ2BeZigW7pM5Yz3jZYtYIJ7S2NJW7NCKiRsWwJq2UcEvqjHX0cjqcbKyw7oU+8LRrJXdZRESyYFiTViksUeI/Idfw7dFYNDVSYN5oF0xmZywiMnAMa9IaIVfSEbAzAvG37mC0ewfMfcIFNi3YGYuIiGFNsruRLXXG+utiKrq1scCPr/XDIIe2cpdFRKQ1GNYkmxKlCptPxGPVwSsoVQl85NcTU33ZGas+PvnkE+zatQsmJibo0aMHNm3aBGtra7nLIqJ64oFAksXp+EyMXnMci/+6hP7dW+Pgh76YMcyBQV1Pfn5+iIiIwIULF9CzZ08sXbpU7pKIqAFwz5oaVUZeEZbticb28PLOWH4u7XmZ0Abi7+9/7/sBAwZg+/btMlZDRA2FYU2NomJnrDvFSrw1pAdmsDOWRm3cuBHPPvus3GUQUQPgKyVpXMXOWAO6t8KisW5waM/OWA9r+PDhSE1NrTJ98eLFGDt27L3vjY2NMWnSpGqXERgYiMDAQABAenq65oologahEELIXcNdWlMINYzsghKs2H8ZP/6bgNYWppg32pmdsRrBli1bsH79ehw6dAjm5ua1zu/l5YWwsLBGqIyIqqHWCyL3rKnBCSGw41wKFgeXd8b6wK8nWpixM5am7d27F19++SVCQkLUCmoi0g3cs6YGFVPWGetUXCZ6d7bG4nFu7IzViOzt7VFUVITWrVsDkE4yW79+fY0/wz1rIllxz5oaz/2dsZY81QvPebMzVmOLjY2VuwQi0gCGNdWL1BnrJhbuisR1dsYiItIIhjU9tMRbdxAQFIEjZZ2x1jzfB15d2RmLiKihMaypzgpLlAg8dg3fHomFsZECc59wxiuPdGVnLCIiDWFYU50cu5KO+WWdsZ5w74B57IxFRKRxDGtSS2p2IRbtjkLwxRvsjEVE1MgY1lSjEqUKW/6Jx8oDUmesD/16Yho7YxERNSqGNT3Q6fhMzNsRgejUXAx1bIsFY9zQpTUvtEFE1NgY1lTFrbwiLC3rjNWxRTP85yVP+LMzFhGRbBjWdI9KJfDL6UR8tfcy8otK2RmLiEhL8FWYAJR1xtoZgfNJWeyMRUSkZRjWBi67oATflHXGamVhilXPemCsBztjERFpE4a1gSrvjBWNzPwivDTADh/6O7IzFhGRFmJYG6D7O2NtftWbnbGIiLQYw9qA3CkuxZpDsdjw9zV2xiIi0iEMawMghMD+qJtYuCsKKVkFeNrTFp+OZGcsIiJdwbDWc4m37uDzXZE4HJ0GJxsr/PGmD7zZGYuISKcwrPVUUakS/wmp3Blr8iNd0ZSdsYiIdA7DWg/9HZOO+TsjEZeRz85YRER6gGGtR1KzC7EoOArBF26ga2tzbJ3SD4N7sjMWEZGuY1jrgVKlCpvLOmOVlHXGmjq4O5o1ZWcsIiJ9wLDWcWHxmZhboTPW52NcYdfaQu6yiIioATGsdVRmfjGW7bmE38OkzljrX/TE467sjEVEpI8Y1jpGpRL49XQSvtoXjbzCUrzp2wPvDmNnLCIifcZXeB0SkZKNuTsicC4pC/27tcIX49gZi4jIEDCsdUBOYQm+2X8FW0/Go5WFCVY+2xvjPDpxyJuIyEAwrLWYEAJB56/ji+BLyMiTOmN9xM5YREQGh2GtpWLTcjFvRyROXruF3rYtsHGyN3rZsjMWEZEhYlhrmYJiJdYejsH3f1+DWdMm+GKcG57v1wVN2BmLiMhgMay1yIGom/g8KBIpWQWY0NcWs0c5oQ07YxERGTyGtRZIyryDBbsicfBSGhzbW+H3aT7o142dsYiISMKwllFRqRIb/o7D2sMxMFIoMGeUM155lJ2xiIioMoa1TI7HZGD+zghcy8jHSDcbzH/SBR1amMldFhERaSGGdSO7mVOIL4IvYdf567BrbY7Nr3pjiGM7ucsiIiItxvHWRlKqVGHj8TgMWxGCfZGpeH+4A/a9P5hBTRqxfPlyKBQKZGRkyF0KETUA7lk3gvCE25i7IwKXbuTAt2dbLBzLzlikOUlJSThw4AC6dOkidylE1EAY1hqUmV+ML/dE47ewJHRo0QzrX+yLx11teJlQ0qgPPvgAX331FcaOHSt3KUTUQBjWGqBSCfweloRle6XOWNMGd8e7wxxgYcrNTZoVFBSETp06oXfv3jXOFxgYiMDAQABAenp6Y5RGRPWgEELIXcNdWlNIfURelzpjnU3MQr+urbBonBscbdgZixrO8OHDkZqaWmX64sWLsWTJEuzfvx8tWrRA165dERYWhjZt2tS4PC8vL4SFhWmqXCKqmVpDrdzVayC5hSX45sAVbPknHi3NTfDNM73xVB92xqKGd/DgwWqnX7x4EXFxcff2qpOTk9G3b1+EhobCxsamMUskogbGsK6n+ztjvdjfDh/7O6KFOTtjUePq1asX0tLS7t1Xd8+aiLQfw7oeYtPyMH9nBP65egvuti3ww2QvuNtay10WERHpGYb1QygoVmLdkRgEHpM6Yy0a54YX2BmLtEx8fLzcJRBRA2FY19HBqJsIYGcsIiJqRAxrNUmdsaJw8NJN9Gxvid+mDkD/7q3lLouIiAwAw7oW93fGmj3SCVMGdmNnLCIiajQM6xqciM3AvJ0RuJYudcaaN9oFHa3ZGYuIiBoXw7oaaWWdsYLYGYuIiLQAw7qCUqUKP/6bgBX7r6BYqcL7wx3wpm8PNGvaRO7SiIjIgDGsy5xJvI25/4tA1I0cDO7ZFgvHuKJrG3bGIiIi+Rl8WN/OL8aXe6Px6+kk2DRvhu8m9cUIN3bGIiIi7WGwYa1SCfwRnoRle6KRy85YRESkxQwymaKu52Dujos4w85YRESkAwwqrO/vjLXi6d4Y35edsYiISLsZRFgLIbDrwg18sTsK6XlFmNS/Cz7xd2JnLCIi0gl6H9ZX06XOWCdib6FXpxb4/mUv9O7MzlhERKQ79DasC4qV+PZILP5z7CqaNW2CRWNd8UJ/O3bGIiIinaOXYR2Rko03t4Uj+XYBxvfthNkjndHWip2xiIhIN+llWHeyNkNHazMsf7o3BrAzFhER6Ti9DOuWFib4fZqP3GUQERE1CPZ5JCIi0nIMayIiIi3HsCYiItJyDGsiIiItx7AmIiLScgxrIiIiLcewJiIi0nIMayIiIi3HsCYiItJyDGsiIiItpxBCyF0DEclIoVDsFUKMkLsOInowhjUREZGW4zA4ERGRlmNYExERaTmGNRERkZZjWBMREWk5hjUREZGWY1gTERFpOYY1ERGRlmNYExERaTmGNRERkZb7f04KnmhrYEgzAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x217d0a11e80>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import  matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "x=np.linspace(-3,3,20)\n",
    "y=2*x+1\n",
    "# 绘制直线\n",
    "plt.figure(num=1,figsize=(8,5),)\n",
    "plt.plot(x,y)\n",
    "# gca='get current axis/获取当前轴线'\n",
    "ax=plt.gca()\n",
    "# spines就是脊梁，即四个边框\n",
    "# 取消右边与上边轴\n",
    "ax.spines['right'].set_color('none')\n",
    "ax.spines['top'].set_color('none')\n",
    "ax.xaxis.set_ticks_position('bottom')\n",
    "ax.spines['bottom'].set_position(('data',-0)) # 也可以是('axes',0.1)后面是百分比，相当于定位到10%处\n",
    "ax.yaxis.set_ticks_position('left')\n",
    "ax.spines['left'].set_position(('data',0))\n",
    "\n",
    "# 绘制特定散点\n",
    "x0=1\n",
    "y0=2*x0+1\n",
    "# plot散点图，上述plt.plot(x,y)变为plt.scatter(x,y)绘制出来就是散点图\n",
    "# s代表大小，b代表blue\n",
    "plt.scatter(x0,y0,s=50,color='b')\n",
    "# 把两个点放进去plot一下，画出垂直于x轴的一条线，[x0,x0]表示两个点的x,[0,y0]表示两个点的y\n",
    "\n",
    "\n",
    "# 绘制(x0,y0)垂直于x轴的线\n",
    "\n",
    "# k--表示黑色虚线，k代表黑色，--表示虚线,lw表示线宽\n",
    "plt.plot([x0,x0],[0,y0],'k--',lw=2.5)\n",
    "# 添加注释 annotate\n",
    "\n",
    "'''\n",
    "其中参数xycoords='data' 是说基于数据的值来选位置, xytext=(+30, -30) 和 textcoords='offset points'\n",
    "对于标注位置的描述 和 xy 偏差值, arrowprops是对图中箭头类型的一些设置.\n",
    "'''\n",
    "\n",
    "plt.annotate(r'$2x+1=%s$'%y0,xy=(x0,y0),xycoords='data',xytext=(+30,-30),textcoords='offset points',fontsize=16,arrowprops=dict(arrowstyle='->',connectionstyle='arc3,rad=.2'))\n",
    "# 添加注释 text\n",
    "\n",
    "# 其中-3.7, 3,是选取text的位置, 空格需要用到转字符\\ ,fontdict设置文本字体.\n",
    "plt.text(-3.7,3,r'$This\\ is\\ the\\ some\\ text.\\mu\\ \\sigma_i\\ \\alpha_t$',\n",
    "         fontdict={'size':'16','color':'red'})\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 5.tick能见度"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x217d05d9630>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "\n",
    "x = np.linspace(-3, 3, 50)\n",
    "y = 0.1*x\n",
    "\n",
    "plt.figure()\n",
    "# 设置 zorder 给 plot 在 z 轴方向排序\n",
    "plt.plot(x, y, linewidth=10, zorder=1)\n",
    "plt.ylim(-2, 2)\n",
    "ax = plt.gca()\n",
    "ax.spines['right'].set_color('none')\n",
    "ax.spines['top'].set_color('none')\n",
    "ax.spines['top'].set_color('none')\n",
    "ax.xaxis.set_ticks_position('bottom')\n",
    "ax.spines['bottom'].set_position(('data', 0))\n",
    "ax.yaxis.set_ticks_position('left')\n",
    "ax.spines['left'].set_position(('data', 0))\n",
    "\n",
    "\n",
    "# 调整坐标\n",
    "\n",
    "# 对被遮挡的图像调节相关透明度，本例中设置 x轴 和 y轴 的刻度数字进行透明度设置\n",
    "for label in ax.get_xticklabels()+ax.get_yticklabels():\n",
    "    label.set_fontsize(12)\n",
    "    '''\n",
    "    其中label.set_fontsize(12)重新调节字体大小，bbox设置目的内容的透明度相关参，\n",
    "    facecolor调节 box 前景色，edgecolor 设置边框， 本处设置边框为无，alpha设置透明度.\n",
    "    '''\n",
    "    # 其中label.set_fontsize(12)重新调节字体大小，bbox设置目的内容的透明度相关参，\n",
    "#     facecolor调节 box 前景色，edgecolor 设置边框， 本处设置边框为无，alpha设置透明度.\n",
    "    label.set_bbox(dict(facecolor='white',edgecolor='none',alpha=0.7))\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 重要参考资料-A Brief matplotlib API Primer（一个简单的matplotlib API入门）"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 这个内容来自《利用python进行数据分析第二版》，主要内容：\n",
    "\n",
    "### 1 Figures and Subplots（图和子图）\n",
    "### 2 Colors, Markers, and Line Styles（颜色，标记物，线样式）\n",
    "### 3 Ticks, Labels, and Legends（标记，标签，图例）\n",
    "### 4 Annotations and Drawing on a Subplot（注释和在subplot上画图）\n",
    "### 5 Saving Plots to File（把图保存为文件）\n",
    "### 6 matplotlib Configuration（matplotlib设置）"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "要用Jupyter notebook进行可交互式的绘图，需要执行下面的语句，这样就可以直接在Notebook里绘图了。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib notebook"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = np.arange(10)#生成数据\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "scrolled": true
   },
   "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, fig.canvas.height);\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 overriden (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",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\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>"
      ]
     },
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     "output_type": "display_data"
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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x217d26acb38>]"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "plt.plot(data)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "seaborn和pandas内建的一些绘图函数能帮我们省去很多画图的繁杂工作，但如果我们想要定制化地做出一些函数无法绘出的图，就需要了解一些matplotlib的API了。\n",
    "\n",
    "# 1 Figures and Subplots（图和子图）\n",
    "\n",
    "在matplotlib中画的图，都是在Figure对象中的。可以用plt.figure创建一个："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "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, fig.canvas.height);\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 overriden (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",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\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"
    },
    {
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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "如果实在ipython里执行，可以看到一个空白的绘图窗口出现，但是在jupyter中没有任何显示，除非我们输入一些命令。plt.figure有一些选择，其中figsize保证figure有固定的大小和长宽比，这样也方便保存到磁盘中。\n",
    "\n",
    "我们不能在一个空白的figure上绘图，必须要创建一个或更多的subplots（子图），用add_subplot:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "ax1 = fig.add_subplot(2, 2, 1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "这行代码的意思是，figure是2x2（这样一共有4幅图），而且我们选中4个subplots（数字从1到4）中的第1个。如果要创建另外两个子图，可以输入："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "ax2 = fig.add_subplot(2, 2, 2)\n",
    "ax3 = fig.add_subplot(2, 2, 3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "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, fig.canvas.height);\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 overriden (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",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\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>"
      ]
     },
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     "output_type": "display_data"
    },
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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "有一个注意点，在使用Jupyter notebook的时候，绘图可能在一个cell之后被重置，所以对于一些复杂的绘图，必须把绘图命令全部放在一个notebook cell中。\n",
    "\n",
    "这里我们在一个cell中执行这些命令："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "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, fig.canvas.height);\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 overriden (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",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\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=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure() \n",
    "ax1 = fig.add_subplot(2, 2, 1) \n",
    "ax2 = fig.add_subplot(2, 2, 2) \n",
    "ax3 = fig.add_subplot(2, 2, 3)\n",
    "\n",
    "# 下面出现交互式界面后，不要关闭，运行之后的命令，可以看到最后一副图中出现了线"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "如果输入`plt.plot([1.5, 3.5, -2, 1.6])`这样的命令，matplotlib会把图画在最后一个figure的最后一个子图上。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x217d332b2e8>]"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "plt.plot(np.random.randn(50).cumsum(), 'k--')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "'k--'是一个style（样式）选项，它表示使用黑色的虚线。在这里，fig_add_subplot返回的是一个AxesSubplot对象，我们可以直接在空白的subplot上绘图，直接在对应的AxesSubplot对象上调用方法即可："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "_ = ax1.hist(np.random.randn(100), bins=20, color='k', alpha=0.3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x217d3918320>"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ax2.scatter(np.arange(30), np.arange(30) + 3 * np.random.randn(30))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "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, fig.canvas.height);\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 overriden (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",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\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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z2ci+JkDEIS9v/sD+wFbIzDZr0TAM6sEJDAaAuG05ouu3XT/3b1lT2uuy9MG9Ct1Va01dhXArQlVKUcdqJTCZqaiBBTARYmZvi0EGjBQ+ScgnOQ88WwGTsmWM0/826uATwJXZlcnTYc3LIt+AvB44NYc/Adds7RofHx8bP36QR/nsGwSCUhAAjUReOC+3vWsWXdL9H29NbnoPcB1gS1gVwFcAFYLkyqAWxi0NrqsAG5j1PQ5D4EGCOAJN8PsbbgT+E+B5wN/Avx59uGrgU8A3wHCft/pnnCVUhC/CuA8gTeNBCTQOgJB/J56wTX3z/oOe5YuPIDVK5cwZ/asYUkr/7xB/UrldWuLQQVwWyJVzk8FcDlu5ipIQAFcEJjJW0OggQOV2cB3gbDUeSlwrUugW9OcdFQCEqiRwNmf/T6fuiYsksn3nLxkAe99RXivONqngf3KaAE0oDQFcAOCUKMLCuAa4Wr6PwkogG0NXSXQ0IFK2Bf8l8C7sxnhvIdghZOiHx0ZK/uVSIBml4AEqidw+9btHP2+y6dd9jyotNmz9uKqs47joLnhAP3RPQ3tV0YHoAEl9VUALwaOB5Zkb9DDkrAd2VUSU8OyN3A0sBx4DrAQeFR2zcTXgL8Abi4Yy48Dp86Q5/XA3xS0OV1yByoVQNTEcAIK4OGMTNFOAg0dqLwWuCDrJ0J/8fDshOdh1yCFq5BCPxbz2K/E0DOvBCRQC4GPXr6RD1wWDscv9rzthMM449hwrfronob2K6MD0ICS+iqAPwe8bAr/QQI4fCs2ZmnDHqrrsmsngngOB4qE0zRfnO29yhvSCQH8VeC2aTKFKy6+kdfYDOkcqFQAURPDCSiAhzMyRTsJNHSgMtGHhJngD2RkvwS8CHgz8KEptD8MvAF4O/D+yEjYr0QCNLsEJFA9gVPOX8sVG+8sbPiYQw/kwtPCbpLRPQ3tV0YHoAEl9VUAvwN4RLZ3KuyfCiJ0kABeBPx/wP8AwtvziSe8aQ+ztK8BNgFBKO/MGdOJwcuxwDdz5imTzIFKGWrmKUxAAVwYmRlaQiDRQCUcZBVWJn0G2DUJVdj/+weZwA191mHAxIa3cDBWWJW0BXjWpBe34e/hhWpIH1YwDT8dZubY2K+0pO3qpgT6RODE867k+k1hl0ex58gF+3PJ6WGh5+ieRP3K6CrYgpL6KoCnhua+GQTwTGGck4nnsCT6uVOupZgpnwK4BV8OXcxPQAGcn5Up20Ug0UAlvFj9GBCmM9ZlovbA7BToxwHbs200F0+hGWZ+3wjck4nhh2XbfcJWnhWZoI4NgAI4lqD5JSCBygk4A1w50k4bVAA/EN6yAjjkvQb4TSDcw/ipnK1FAZwTlMnaQUAB3I446WVxAokEcJipfV22X/dgIIjfXwI/Bi4HPgL8aEBtgng+E3hKtirpauA9BbfpzARKAVy8GZlDAhKomYB7gGsG3DHzCuA4ARwuD/sP4DHA8wrs250QwP8vEGIQ7ISDtC4FflhhG3OgUiFMTQ0moAC2dXSVQCIB3GSc9itNjo6+SaCnBDwFuqeBL1ltBXCcAH418AngDmB+tow6TygGnQIdZqL/OlvCNnnfVx6b06VxoFKWnPkKEVAAF8Jl4hYRUADvESz7lRa1X12VQJ8IeA9wn6IdV1cFcHkBHATvP2dL04peWxT2aIU9XGEp2y3AY7PTO8MytXBHY9jHFU7yzPusH5Bw0fj4+Nj69YM+zmvedBKYmYAC2BbSVQIKYAVwV9u29ZJA1whs37mbUy+4hrU3Dz/rb+nCA1i9cglzZodFmKN97FdGy3u60hTA5QTwI7MDr8J9wuFKpRMrCuVTswNPwrcx7AGbON1zmHkF8DBCfl4rAQVwrXg1npCAAxUFcMLmZ9ESkEBBAkEEn3PpBtas28zO3WFh5UOf2bP24qTF81m1fDyJ+A3e2K8UDGoNyRXAxQVwuIYi7NU9ITtU5AXAvRXG5tPAScDK7BTQGNMuVYuhZ97cBBTAuVGZsGUEHKgogFvWZHVXAhIIexO37uDi6zZz9U1b2LZjF/uO7cOyg+ex4qj5HDQ33GSa7rFfScd+omQFcDEBHK6SCCc9h+skvpddfVT80rGZ4x7uGz4b+OPs7uGYVqIAjqFn3twEFMC5UZmwZQQcqCiAW9ZkdVcChQkEsXjRtZvuXzrcNLFYuDItyGC/kj5ICuBiAvhvgN8HbgCOAW6vIYThEKw/yA7CClddxDwK4Bh65s1NQAGcG5UJW0bAgYoCuGVNVnclkJvAA8uF17Nm3S2NXS6cuzItSmi/kj5YCuD8AnhiZnZTJn7Df6t+wpqMjdmJ0s8GrowsQAEcCdDs+QgogPNxMlX7CDhQUQC3r9XqsQSGE2jLgVHDa9K+FPYr6WOmAM4ngN8CnAvcBvyXTKQOi94S4B+BnwDHTUp8GPBk4AvA7kn/fhDwd8DLs+XVRwJ77t4fVupDP1cAF+Nl6pIEFMAlwZmt8QQcqCiAG99IdVACJQi05cqgElVrfBb7lfQh6qsAfgnwzkn4l2Zi85pJ//Zu4IvAM7LrjgKr72bLn6eL3D9kh2JNfPZc4BvAvwNPmpRh4t+3AD/MBPJjgHCi9NzsWqQgmMMy69hHARxL0Py5CCiAc2EyUQsJOFBRALew2eqyBGYkcPvW7Rz9vsunXfY8KGM4Pfmqs45LfoBUF0Jrv5I+in0VwK/JccLya4GPZwddBSE77JlIP0wAPx54G7AsE8bzgB2Z4A2nS38Y+NmwwnJ+rgDOCcpkcQQUwHH8zN1cAg5UFMDNbZ16JoFyBD56+UY+cFnxeZa3nXAYZxx7SLlCzfUgAfuV9I2hrwI4PfnReKAAHg3n3peiAO59E+gsAAcqCuDONm4r1lsCp5y/lis23lm4/scceiAXnhYWTfrEELBfiaFXTV4FcDUcm2pFAdzUyHTMLwVwxwJqdXxTP7gN2K/4/ZBAywmceN6VXL+p+C2eRy7Yn0tOP7rltU/vvgI4fQwUwOljUKcHDlTqpKvtBwkogG0MXSXgQGWPyNqvdLWxW6/eEHAGOG2o7VfS8g+lK4DTx6BODxyo1ElX2wpg20DnCThQUQB3vpFbwd4RcA9w2pDbr6TlrwBOz79uDxTAdRPW/v0EnAG2IXSVgAMVBXBX27b16i8BT4FOG3v7lbT8FcDp+dftgQK4bsLaVwDbBjpNwIGKArjTDdzK9ZaA9wCnC739Sjr2EyW7BDp9DOr0QAFcJ11tP0jAGWAbQ1cJOFBRAHe1bVuvfhPYvnM3p15wDWtvvmsoiKULD2D1yiXMmT1raNq6E9yxdQcXXbvpfr+37djFvmP7sOzgeaw4an5r7ii2X6m7lQy3rwAezqjNKRTAbY5ei3xXALcoWLpaiIADFQVwoQZjYgm0iEAQwedcuoE16zazc/d9e3g+e9ZenLR4PquWjycXvw/4up41625pvK/DmoD9yjBC9X+uAK6fccoSFMAp6feobAVwj4Lds6o6UFEA96zJW90eEgizqhdft5mrb9rSyFnVumerRz2rbL+S/kumAE4fgzo9UADXSVfbDxJQANsYukrAgYoCuKtt23pJoC0E6tqvnGpW2X4lfctTAKePQZ0eKIDrpKttBbBtoPMEHKgogDvfyK2gBBpMoK4Tq+ueVZ4Jqf1K+ganAE4fgzo9UADXSVfbCmDbQOcJOFBRAHe+kVtBCSQmMNMS5HDg1Qcuu6Gwh2874TDOOPaQgfnqmlXO46j9Sh5K9aZRANfLN7V1BXDqCPSkfJdA9yTQPaymAxUFcA+bvVWWwEgI5FmCPO+RY9z28+2F/Tnm0AO58LSl0+ara1Y5r5P2K3lJ1ZdOAVwf2yZYVgA3IQo98EEB3IMg97SKDlQUwD1t+lZbArUSKLIEuYwjRy7Yn0tOP3rarB+9fGMts8p5/bRfyUuqvnQK4PrYNsGyArgJUeiBDwrgHgS5p1V0oKIA7mnTt9oSiCYw09LmD37t3/jUNZujyxhkYKYZ4FPOX8sVG+8sXPZMNosYs18pQquetArgerg2xaoCuCmR6LgfCuCOB7jH1XOgogDucfO36hIoRWDY0uZ99oZf3ffAn7qemfYAn3jelVy/6e7CRc80q1zEmP1KEVr1pFUA18O1KVYVwE2JRMf9UAB3PMA9rp4DFQVwj5u/VZdAYQJ1L23O49DsWXtx1VnHcdDcsWmTOwOch2K30yiAux1fBXC349uY2imAGxMKHamYgAJYAVxxk9KcBDpNoOjpynXAOHnJAt77iiMGmnYPcB3U22VTAdyueBX1VgFclFhP08cI2Fhky5cvjzVhfgnURkABrACurXFpWAIdI1DmdOWqESxdeACrVy5hzuxZA02X8XPYrHKRetivFKFVT1oFcD1cm2JVAdyUSDTcDwVwwwOke8kIOFBRACdrfBYsgUgCMx1CNWh5cEyRZWdW85b52P3msOUXO9i5e8/Nw0GgnrR4PquWj88ofifKKjpTPWxWOW8dQjr7lSK06kmrAK6Ha1OsKoCbEomG+6EAbniAdC8ZAQcqCuBkjc+CJVCSwLBDqIqKxbxulN1bm9d+ONhqxVHzufi6zVx90xa27djFvmP7sOzgeff/exFRX2Svcp5Z5bx1UAAXIVVfWgVwfWybYFkB3IQotMAHBXALgqSLSQgogBXASRqehUqgJIGUwq7s6cp5qlrlEuSJ8h54UbCBNes2VzKrnKceCuC8lOpNpwCul29q6wrg1BFoSfkK4JYESjdHTkABrAAeeaOzQAlEEEi5tLfOGeAqlyBPxRuWilcxq5w3bPYreUnVl04BXB/bJlhWADchCi3wQQHcgiDpYhICDlQUwEkanoVKoASB1Ic71bUHuOolyCXQVprFfqVSnKWMKYBLYWtNJgVwa0KV1lEFcFr+lt5cAg5UFMDNbZ16JoGHEigrQMPe2jOOPSQaZxkBvvdesPdee7HrV/EHW0VXYEQG7FdGBHqGYhTA6WNQpwcK4Drpdsi2ArhDwbQqlRJwoKIArrRBaUwCNRIouwT5mEMP5MLTllbiWZkl2G85/jdGugS5kopGGLFfiYBXUVYFcEUgG2pGAdzQwDTNLQVw0yKiP00h4EBFAdyUtqgfEhhGoOwhVEcu2J9LTj96mPlcn6c8hCuXgw1IZL+SPgh9FcCLgeOBJUB45fV4YAcwZ0hIfhc4ExgHfglcDbwHuKpEKPcG3gCcBoR1J9uAbwKrgA0l7E2XRQFcEcium1EAdz3C1q8sAQcqCuCybcd8EihCoIo7e5swAxzqnOp05SK8U6a1X0lJ/4Gy+yqAPwe8bAr+YQL4g8CbgXuByzKxfFzG8JXAJQXCGbhfDJwE3A18HTgQ+C/hdwM4FlhbwN6gpArgCiD2wYQCuA9Rto5lCDhQUQCXaTfmkUBeAlXe2Zt6D/DUOo/6dOW8zFOns19JHYH+CuB3AI8Ars3+3DZkBvh5mUjdAjwL2JiFLvw9zNoGUbwQ+FnOkK4Ezs/sHAP8NMv328Aa4EbgycCunPYUwJGg+p5dAdz3FmD9BxFwoKIA9tshgboIVL1cuMwhVHXcr1sXr67YtV9JH8m+zgBPJR+OnptpBviLwIuzGeAPTcn84Wwp81uBc3OGdH22jPpEIMxGT34+D7w0mx3+TE57CuBIUH3PrgDuewuw/g0TwOEF7QuA5cBvAk8CZgE/AkK/EFYkhW0z0z1VbtWZzr4ri/y6dJJAFUuQi4Ipc2DUe19xxIzF1GGzaL1MPzMBBXD6FqIAfiAGMwngsC84LFMeA+YDt0wJW5jB/TbwLeC5OUIaZopvymaNHwXsnJLnFOAfgdXAa3LYmymJA5VIgH3JrgDuS6StZ1ECiQYqrwP+PvM1vDAN50LsB/wWMBf4IfAc4PYp9alyq84gVPYrRRuR6RtNoMolyEUqWtdsbdWzykXqZNp8BBL1K/mc60kqBfBwAfwM4HrgDuAx07SLR2Zv4sPy5wNytJuXZ/uFw/LrcAjX1Odw4H8D/wIcmcOeAjgSktlBAWwrkJ/kjZAAACAASURBVMD0BBINVMIs7jLgryZtuQkOPg4IK5JC3/Ap4FWTvK56q44C2C9F5wmkFIt17tet8xCqFDPlXWuIifqVrmGMqo8CeLgADsuRw7LkIIKfOYB2EL/7Z2/otw6JSDj5OSybDodmvWKatGFWOMw43wXMi4ou+KY+EmBfsiuA+xJp61mUQAMHKuHsiXDzQNi2E2aFw40E4al6q44CuGhjMX3rCKRcLjyKE5urPIQq1Ux56xpVDocb2K/k8LpbSRTAwwVweMP+SeBK4NkDwh+WRT8hu07p1iFN5P8B/jyz+d+mSbtPtiw6DGrCsus8T1giN92zaHx8fGz9+kEf5zFtmj4QUAD3IcrWsQyBBg5Uwv7gX2R1CVf4hT6n6q06M6HyxWqZhmSexhGoawly3oo24c7evL6mnCnP62Ob0jWwX2kTvkp8VQAPF8CvBj4BfAcI+32ne36Sid+JwchMwfnj7O7gYDPs9536KIAradoaKUJAAVyElmn7RKCBA5WnAj/IXpSG/cBhJrjqrToK4D418p7Wtc4lyHmQjmIGOI8fedKknCnP41/b0jSwX2kbwmh/FcDDBbBLoKObmQaaTkAB3PQI6V8qAg0cqITDscIhWZdmNwYENFX3UwrgVA3OckdGYBQCdKb9shddu4kPXHZD4fqe/txFPOJhs1h7811s27GLfcf2YdnB81hx1HwOmpt34WD+YlPPlOf3tD0pG9ivtAdeRZ4qgIcL4Lxv1sO+3UfniIuHYOWAZJLRElAAj5a3pbWHQMMGKuE6vi9kd8SH65G+l5GseqtOMOvWmvY0Uz0tQaDOJch59su+5IjH84Xv/we7fhUuIsn37LUXzNprr2nzhPt8T1o8n1XLx5kzO9yaVs2Teqa8mlo0y0rD+pVmwRmRNwrg4QL44UA45GrYNUjhKqRwLcWwJ+81SOEqpFOHGRvyuXu1IgH2JbsCuC+Rtp5FCTRooPKU7CyK8KL1TdlhihPVqXqrjgK4aEMxfesI1DUDXGS/bJixDbPEVT5LFx7A6pVLKhPBdXGqss5ts9WgfqVt6CrzVwE8XACHFF8CXgS8GfjQFPrhROdwsvPbgffnjEy40zEMZk4EPjclTzhxOixnWwF8Oqe9QckUwJEA+5JdAdyXSFvPogQaMlB5YiZ+FwDhrt8/mlIPl0AXDazpe0+grpnNovtlHzN3jNsrFsEnL1nAe19xRCUxrnOmvBIHW2ikIf1KC8lV57ICOJ8Afj7wNWALEK6g2JiFIPz9G9khJGFmN1xdNPGEO37DLG44IOu4KSEL+7fCPq5gJ5wsfXv2ebgW6TPAzcBh2SEnMdFWAMfQ61FeBXCPgm1VCxFowEDlQOAK4MnAx4DTgKlrJqveqjMTI/uVQi3IxE0lUMfe1jI299kblj/9Cfcvh965e8/l0OHzsEq6wEppwnLoq846rpI9wc4AV9+CG9CvVF+pllnsqwB+CfDOSbFamg0orpn0b+/O7lWc+Kcw8/tG4J5MDD8MOB7YO5utDcJ18vPcTBz/O/CkKZ+FPGuyGeCwvPrrQBjkhCXUYS1MEMzhnsfYx4FKLMGe5FcA9yTQVrMwgcQDlXDK8+XAUcBns75m9zSVqHqrjgK4cEsxQxsJFJ2tHTazGjOrHA6xuvi6zVx905aHHG61bfsu/vpbNxbG+7YTDuOMYw8pnG9qhpg6VVF+dAUaaCBxv9JAIqN3qa8C+DXZm/SZiL8W+PiUBCHfmdny5Z3A1dmVRuGKpKnPTAI4pA0nFARBvRJYlN3r+C3gT2c4fKRoC1EAFyXW0/QK4J4G3moPJZBwoBLOnfgycCzw1WxrTLgfftBT9VadQeXYrwxtNSZoC4Ei+3Xz7K2tY7a0DptF4lNmVrvKGegivrYlbcJ+pS2IavezrwK4drANKcCBSkMC0XQ3FMBNj5D+pSKQaKASXpCGMyDCORFh+fMLs9VHM2Eos1WnDFb7lTLUzNNYAg+c2LyBNes2T7sEucjpynXsl63DZtFgVD1TXrT8rqVP1K90DWNUfRTAUfgan9mBSuND1AwHFcDNiINeNI9AooFKWB00ceDiJcDPB5B5K3DnpM+KbtUpA9x+pQw18zSeQDiNebolyEXu161jtrYOm0WDUfVMedHyu5Y+Ub/SNYxR9VEAR+FrfGYHKo0PUTMcVAA3Iw560TwCiQYq7wJW5aARDl/88ZR0Rbbq5ChijyT2K2WomacXBOrYL1uHzTLBqHKmvEz5XcqTqF/pEsLouiiAoxE22oADlUaHpznOKYCbEws9aRYBByoK4Ga1SL1pMoE69svWYTOGYRUz5THldyGv/Ur6KCqA08egTg8UwHXS7ZBtBXCHgmlVKiXgQEUBXGmD0ljrCQQBeNG1m1h7810POa15Yql0Hftl67DZ+kC0uAL2K+mDpwBOH4M6PVAA10m3Q7YVwB0KplWplIADFQVwpQ1KY60l8MAS4PWsWXfLjIdlveOFh/H7F667XyAPe/KcLB1suAd3GMl2fW6/kj5eCuD0MajTAwVwnXQ7ZFsB3KFgWpVKCThQUQBX2qA01koCRQXo356ymL/4yr9VcrL0BDD34Lay6UzrtP1K+lgqgNPHoE4PFMB10u2QbQVwh4JpVSol4EBFAVxpg9JYKwmUXYJcx37ZOmy2Migtdtp+JX3wFMDpY1CnBwrgOul2yLYCuEPBtCqVEnCgogCutEFprHUEmnYIVesA6vAeBOxX0jcKBXD6GNTpgQK4Trodsp1SAMdgXL58eUx280pgKAEHKgrgoY3EBJ0m0JRriDoNuWeVs19JH3AFcPoY1OmBArhOuh2yrQDuUDCtSqUEHKgogCttUBprHYFTzl/LFRvvLOz3MYceyIWnLS2czwzdJ2C/kj7GCuD0MajTAwVwnXQ7ZFsB3KFgWpVKCThQUQBX2qA0NlICw64syuPMieddyfWb7s6T9CFpjlywP5ecfnThfGboPgH7lfQxVgCnj0GdHiiA66TbIdsK4A4F06pUSsCBigK40galsZEQyHtl0arl48yZPWtGn5wBHknIelWI/Ur6cCuA08egTg8UwHXS7ZBtBXCHgmlVKiXgQEUBXGmD0ljtBIpeWbR65ZIZRbB7gGsPWe8KsF9JH3IFcPoY1OmBArhOuh2yrQDuUDCtSqUEHKgogCttUBqrnUDZK4sGOeYp0LWHrHcF2K+kD7kCOH0M6vRAAVwn3Q7ZVgB3KJhWpVICDlQUwJU2KI3VSqAusVq1qK4VgsYbT8B+JX2IFMDpY1CnBwrgOul2yLYCuEPBtCqVEnCgogCutEFprFYCdS1XrnpZda0QNN54AvYr6UOkAE4fgzo9UADXSbdDthXAHQqmVamUgAMVBXClDUpjtRKo88CqBw7W2sCadZvZufu+Peoxe9ZenLR4PnkO1qoVgsYbT8B+JX2IFMDpY1CnBwrgOul2yLYCuEPBtCqVEnCgogCutEFprFYCo7iyKFytdPF1m7n6pi1s27GLfcf2YdnB81hx1HwOmjtWa/003g0C9ivp46gATh+DOj1QANdJt0O2FcAdCqZVqZSAAxUFcKUNSmO1EqhzBrhWxzXeKwL2K+nDrQBOH4M6PVAA10m3Q7YVwB0KplWplIADFQVwpQ1KY7USqGsPcK1Oa7x3BOxX0odcAZw+BnV6oACuk26HbCuAOxRMq1IpAQcqCuBKG5TGKiEQliFfdO0m1t5810OWIT/vyY/hpR/9zrR7dAcVHPbuXnXWcS5friQyGslDwH4lD6V60yiA6+Wb2roCOHUEWlK+ArglgdLNkRNwoKIAHnmjs8CBBB44iGo9a9bdMvAgqgUHPIIb7/hFboonL1nAe19xRO70JpRALAH7lViC8fkVwPEMm2xBAdzk6DTINwVwg4KhK40i4EBFAdyoBtljZ4pcRTR3zj5s3b5rKK2lCw9g9colzJk9a2haE0igKgL2K1WRLG9HAVyeXRtyKoDbEKUG+KgAbkAQdKGRBByoKIAb2TB76NTZn/0+n7pmc+6aLzpoXzbd9QuvLMpNzISjImC/MirSg8tRAKePQZ0eKIDrpNsh2wrgDgXTqlRKwIGKArjSBqWxUgRu37qdo993eeG9vZee+Wy+/sPbvbKoFHUz1UXAfqUusvntKoDzs2pjSgVwG6OWwOe2CuBYVMuXLy9tIpZZTNmlnTZjYQIOVBTAhRuNGSon4OnOlSPVYEIC9isJ4WdFK4Dzx+C5wDdyJF8F/FmOdD8Gfn2GdE8BfpjDzkxJFMCRAPuSPVbMtZVTjAiNZRZTdlt5t9FvByoK4Da226757P2+XYtov+tjv5I+/grg/DF4MnDWgOTh9IT/ln32vJxCeUIArx5g82zg1vzuTZtSARwJsC/ZY8VcWznFiNBYZjFlt5V3G/12oKIAbmO77ZrPJ553JddvurtwtY5csD+XnH504XxmkECdBOxX6qSbz7YCOB+nYaleBHwJCKczPAn41bAMwIQArjMGCuAcgTAJxIq5tjKMEaGxzGLKbivvNvrtQEUB3MZ22zWfnQHuWkT7XR/7lfTxr1N8pa/d6Dz4JPAq4H1AmLnN8yiA81AyzUgIxIq5kThZQyExIjSWWUzZNaDQ5AACDlQUwH450hNwD3D6GOhBdQTsV6pjWdaSArgsuf/M90jgp0D471OB9TlNKoBzgjJZ/QRixVz9HtZTQowIjWUWU3Y9NLQ6HQEHKgpgvxnlCdyxdQcXXbuJtTffxbYdu9h3bB+WHTyPFUfN56C5Y7kNlz0F+qqzjitUTm6HTCiBCAL2KxHwKsqqAI4HeQrwj8D1wDMLmJsQwG8HFgE7MvF8CXBHATszJXUJdEUgu24mVsy1lU+MCI1lFlN2W3m30W8HKgrgNrbb1D5v37mbcy5dz5p1t1R2D2/Re4BPXrKA977iiNQoLF8CexCwX0nfKBTA8TH4KvAC4C3AXxUwN+gU6HuANwDnF7A1KKkCuAKIfTARK+bayihGhMYyiym7rbzb6LcDFQVwG9ttSp+D+D31gmvun/Ud9ixdeACrVy5hzuxwlujMT112h5Xr5xKomoD9StVEi9tTABdnNjnHY4Fbsn94InBbAXMfyU6LXpfN+B4MrATeCISe4ETgczntDVp2vWh8fHxs/fq8q7JzlmayzhGIFXNtBRIjQmOZxZTdVt5t9NuBigK4je02pc91ztQ+MLO8gTXrNlc2s5ySlWX3k4D9Svq4K4DjYhBmfc8FvgKEk6CreP478LfADcBhOQ0qgHOCMtn0BGLFXFu5xojQWGYxZbeVdxv9dqCiAG5ju03l86j26oa9xRdft5mrb9oStbc4FSfL7TcB+5X08VcAx8Xgn4EjgVcD/zPO1IO5987u/30MEGaFb46w6xLoCHh9yhor5trKKkaExjKLKbutvNvotwMVBXAb220qnz2tORV5y20TAfuV9NFSAJePwVOADcA24NeAsHe3qucq4FlAuL09/L3sowAuS65n+WLFXFtxxYjQWGYxZbeVdxv9dqCiAG5ju03ls/f1piJvuW0iYL+SPloK4PIx+B/Znb/hBOhTy5uZNue/Ak8Gng58P8K2AjgCXp+yxoq5trKKEaGxzGLKbivvNvrtQEUB3MZ2m8rnE8+7kus33V24+CMX7M8lp4d3/j4S6D4B+5X0MVYAl4tB4BaWJv86cDzwT+XMTJvrcOAHwL3Ao4FfRthWAEfA61PWWDHXVlYxIjSWWUzZbeXdRr8dqCiA29huU/nsDHAq8pbbJgL2K+mjpQAuF4P/AnwL+A9gPvCrAWbOBMKfcLfv2ZPSnADcCYQToCc/TwP+FxCWV4dTosOJ0DGPAjiGXo/yxoq5tqKKEaGxzGLKbivvNvrtQEUB3MZ2m8pn9wCnIm+5bSJgv5I+WgrgcjH4O+D3gPcDb5/BxLuAVcBq4DWT0k38+78DN2bXIC0Engnsk4nrF1ewr1gBXC6+vcsVK+baCixGhMYyiym7rbzb6LcDFQVwG9ttKp9HdQp0qvpZrgSqIGC/UgXFOBsK4OL8xrJTmsPy5GF7dAcJ4HDA1euA3wQeDzwK+Hm23/eTwMeA3cVdc6BSAbNemogVc22FFiNCY5nFlN1W3m3024GK/Uob221Kn+u8BzhlvSxbAlURsF+pimR5Owrg8uzakNMZ4DZEqQE+xoq5BlShdS4ogNsRMgcqCuB2tNTmeLl9525OveAa1t5811Cnli48gNUrlzBn9qyhaU0gga4QsF9JH0kFcPoY1OmBArhOuh2yrQAefTAVwKNnXqZEByoK4DLtpu95ggg+59INrFm3mZ2779sDx+xZe3HS4vmsWj6u+O17Y+lh/e1X0gddAZw+BnV6oACuk26HbCuARx9MBfDomZcpMeFAZXF2y8ASYGm2XWYHMGdIPX43O3xxPLtF4GrgPZF3yk8u0n6lTEOqOM8dW3dw0bWb7p9l3bZjF/uO7cOyg+ex4qj5HDQ37NRqxhP8vPi6zVx905ZG+9kMWnrRFwIJ+5W+IB5aTwXwUEStTuBApdXhG53zCuDRsZ4oSQE8euZlSkw4UPkc8LIpPg8TwB8E3pxdo3dZJpaPA0Jf/8rsRoIyGBTAsdRy5M8jah+YWV3PmnW3OLOag6lJJNBEAgn7lSbiSOKTAjgJ9pEVqgAeGep2F6QAHn38FMCjZ16mxIQDlXcAjwCuzf7cBswkgJ8HfB3YAoSDFjdm9Q1//2YmisNtAz8rw2FSHvuVSIBTs+cVte944WH8/oXr3FtbMX/NSWDUBBL2K6OuamPLUwA3NjSVOOZApRKM3TeiAB59jBXAo2depsQGDVTCRsqZBPAXgXB9XpgB/tCUun4YeAPwVuDcMhwUwJHUBmQvcmBUWNocZonzPicvWcB7X3FE3uSmk4AERkSgQf3KiGrcvGIUwM2LSZUeKYCrpNlhWwrg0QdXATx65mVKbNBAZSYBHPYF3w2EzZ/zgVum1PUY4NvZHfPPLcNBARxJbUD2olcGFfEiHDR11VnHNWpPcBH/TSuBrhJoUL/SVcRD66UAHoqo1QkUwK0O3+icVwCPjvVESQrg0TMvU2KDBiozCeBnANcDdwCPmaaejwS2ZcufDyjDQQEcSW2a7Ldv3c7R77t82r28VZX2thMO44xjD6nKnHYkIIEKCDSoX6mgNu00oQBuZ9zyeq0Azkuq5+kUwKNvAArg0TMvU2KDBiozCeCXAp/PRPAzB9Qz7P3dH9gP2FqGRZbHfiUC3uSsH718Ix+47IaKrE1v5phDD+TC08Ih4j4SkEBTCDSoX2kKkpH7oQAeOfKRFuhAZaS421uYAnj0sVMAj555mRIbNFCZSQC/CvgkcCXw7AH1DMuin5Bdp3RrDhbrB6RZND4+PrZ+/aCPc1g2yf0ETjl/LVdsvLNWGkcu2J9LTj86Vxl5TqHOZchEEpDAjAQa1K/0NlIK4G6HXgHc7fhWVjsFcGUocxtSAOdGlTRhgwYqMwngVwOfAL4DhP2+0z0/ycTv4wEFcNJW9UDhJ553JddvClu363vyzADnPYV61fJx5syeVZ+zWpZATwg0qF/pCfE9q6kA7nboFcDdjm9ltVMAV4YytyEFcG5USRM2aKDiEuikLaH6wkcxAzxsD3CRU6iXLjyA1SuX3C+CnS2uvj1osT8EGtSv9Af6lJoqgLsdegVwt+NbWe0UwJWhzG1IAZwbVdKEDRqoVHEIVphufHQkUPuVSIAT2eveA5znFOiip1C/8qgnss/ee7Fm3S3THt4Vyjxp8XycLa6okWimkwQa1K90km+eSimA81BqbxoHKu2N3Ug9VwCPFPf9hSmAR8+8TIkNGqjMJIAfnp3wPOwapHAV0nPKcJiUx34lEuBE9rpPgR52D3CZ8sOgMTTEYc/k2eJhaf1cAn0j0KB+pW/oH6yvArjboXeg0u34VlY7BXBlKHMbUgDnRpU0YYMGKjMJ4MDoS8CLgDcDH5oC7cPAG4C3A++PBGq/EglwcvaiM7CPmTvG7Vt3DPUgjwCtewZ6mAAfWgkTSKCjBBrUr3SU8PBqKYCHM2pzCgcqbY7eCH1XAI8QdlaUAnj0zMuU2KCByjAB/Hzga8AW4FnAxqy+4e/fAIJqWgjcVYbDpDz2K5EAJ2cvugf3b09ZzF985d9Ys25z9BLkuvcg51mCXSFKTUmgNQQa1K+0hlnVjiqAqybaLHsOVJoVj8Z6owAefWgUwKNnXqbEhAOVlwDvnORzuMw1iOBrJv3bu4EvTvr/MPP7RuCeTAw/DDge2BtYAXymDIMpeexXKoA4VQSfc+mGQqI2HEJ18XWbufqmLWzbsYt9x/Zh2cHzWHHUfA6aG1bCD39GcQr1sEO4hntpCgl0j0DCfqV7MEvWSAFcElxLsjlQaUmgUrupAB59BBTAo2depsSEA5XXAB8b4vNrgY9PSRPynQk8BdgJXA28J7siqQyCqXnsV6qgOI2NKkRtEdfqngEOvuS5hqmIz6aVQBcIJOxXuoCvkjoogCvB2FgjDlRGHJpYIZlKFMX6PWLMnSguVaw7AW+ElXCgsgds+5URtr86i6p7D3Dw/cgF+3PJ6UfnqoZXK+XCZKIOELBfSR9EBXD6GNTpgQOVOulOYztWSKYSRbF+jxhzJ4pLFetOwBthJRyoKIBjm1tThV2ZU6CLssgzAxz2QZ9z6XqvVioK1/StJWC/kj50CuD0MajTAwVwnXQVwCOm263iFMDtiKcDFQVw2ZbaBmFX9BTqoiyG7QEuegjY6pVLmDN7VlE3TC+BRhGwX0kfDgVw+hjU6YECuE66CuAR0+1WcQrgdsTTgYoCuExLbYuwK+Jn3juAJ3jlOQW6qAD3aqUyrdE8TSNgv5I+Igrg9DGo0wMFcJ10FcAjptut4hTA7YinAxUFcJmW2iZh98BM9fBTqHf96ld8+rpbcuMYJlbLLMHOI6pzO2hCCSQiYL+SCPykYhXA6WNQpwcK4DrpKoBHTLdbxSmA2xFPByoK4KItta3Cbtgp1EVmi5cuPIBhy5XLHsI1bFl10XiZXgKjJmC/Mmrie5anAE4fgzo9UADXSVcBPGK63SpOAdyOeDpQUQAXbaldFnZ5Z4tXLR8fule37DVMeQ7WKhoz00tglATsV0ZJe/qyFMDpY1CnBwrgOukqgEdMt1vFKYDbEU8HKgrgoi21D8Ju2GxxHmYnnncl12+6O0/Sh6QpcrVSYeNmkMAICNivjADykCIUwOljUKcHCuA66SqAR0y3W8UpgNsRTwcqCuCiLVVhl49YH14U5CNhqr4RsF9JH3EFcLEYfBN4zgxZXgR8pYDJ/YF3AScCjwVuAz4HrAKKvxbds2AFcIFgVJE09j7dVKIo1u8q2PXNRqpY941zbH0dqCiAp2tDM93t+5aL/4UrNt5ZuOn1bWlvl5eKFw6+GXpFwH4lfbgVwMViMCGAPwNsmybrucAPcpqcB3wXOBS4CbgOODz78yNgGbAlp61ByRTAkQCLZo8VkqlEUazfRTmZHlLFWvbFCDhQUQBPJpDnbt+nPG4/vn/L/ynW0IC+He7U1sPCCgfWDBKYQsB+JX2TUAAXi8GEAF4I/LhY1j1S/yNwCvBZ4L8Cu7IUHwH+EAifnxpZhgI4EmDR7LFCMpUoivW7KCfTK4Db0gYcqCiAJwgUOQW5jjtz2/KdKeJnm66LKlIv00pgJgL2K+nbhwK4WAyqEsBhufNPgN3AfOCnk9wYAzYDBwBPmPJZMW9BAVyUWGT6WCGpAI4MQIuyp4p1ixA1wlUHKs0UwDMtQT5obuhGq3+KirUiHgy7M7eIrTalLfJSIc/VSm2qu772l4D9SvrYK4CLxaAqAfxa4ALg68Dzp3HhfGAlENJ9vJiLD0mtAI6AVyarArgMtX7mUQC3I+4OVJolgPMsQT5p8XzyXMNTpAWWWa6bdxa478KuyquVisTUtBJIRcB+JRX5/yxXAVwsBhMC+D1A2MP7K+CG7OCqTQVMfQh4I/B+4O3T5DsD+CgQ0r25gN2pSRXAEfDKZFUAl6HWzzwK4HbE3YFKcwRwytnCsgc2Pe2Jj+Jfb/05O3fftwfI2bP2og6x3o5v1p5eVnG1Ulvrrt/9ImC/kj7eCuBiMRh0CvRO4N3ZnzwWw77fcPJzEMFhz+/U52WZqA7pfjuPwQFpFMAR8MpkVQCXodbPPArgdsTdgUpzBHDRJchVLiuOubLngyuewcXXbebqm7awbccu9h3bh2UHz2PFUfOpa7l2O75deimBfhKwX0kfdwVwsRj8WTbjexVwa7Z/9yTgT4CHA28CPpzD5GXA8cDvAf8wTfqwLPprQEh3Qg576wekWTQ+Pj62fv2gj3NYNkkhAgrgQrh6nVgB3I7wO1BphgAuswQ5zLBeddZxhUTmoL3FX/nft/GDnxQ/2fnIBftzyelHJ23sKfZLJ62whUug4QTsV9IHSAFcTQxeAHwVCL3j44B7h5gN4jaI3NcBYb/v1CeI4yB+FcDVxKeQlVgRW6gwE/eWQCoBHNu+U/mdqqE4UGmGAC67BDnv1ULD9hbn3c87lVbKu32H1ckl2Kl+VSy37wTsV9K3AAVwdTG4FjgKeB7wjSFmXQJdHffKLcUKhMod0mAnCaQSkrHtO5XfqRqBA5VmCOCYJcgXnrZ0xuZTZG9x0XaYV4AXtTssfZE69f0QrmEs/VwCVROwX6maaHF7CuDizAbl+J/AycCrgfD3mR4PwaqOe+WWYgVC5Q5psJMEUgnJ2Padyu9UjcCBSjME8InnXcn1m+4u3AzyLEEuurc4rxNllmDntT0sXdE6Vblfephvfi6BvhOwX0nfAhTA1cXgy8ALgXCA1f8/xGzea5DCVUgfi3DRQ7BKwIsVCCWKNEsPCaQSkrHtO5XfqZqIA5VmCOC6ZoDL7C3O2xZTicoydUop1vPyNJ0EukLAfiV9JBXA1cTgIOBm4JHZwVi3DDEb9gmHNLuy9LdPSj8GbM6uWXoCcFuES9tPngAAIABJREFUiwrgEvBiBUKJIs3SQwKphGRs+07ld6om4kClGQK4rj3AZe0Oa48plxWXrVOq5drDWPq5BLpGwH4lfUQVwPljsCw76TlchTT5Qr8nAZ8AwjGPYeY3zABPPGcC4c8lwNlTigp5wnLpzwC/k4nhkCScIv2GzOYp+d2bNqUCuATAWIFQokiz9JBAKiEZ275T+Z2qiThQaYYArmtWs+zM8qBDsZpwsFTZOqU8sCvV99tyJZCCgP1KCuoPLVMBnD8Gr8mWI4frj27IZmafCCwG5gDhrqFwANbk2dx3AauA1UDIP/k5ELgaWATcCFwHHA48Nfv/ILjvzO+eAjiS1YPZYwVCVX5op9sEUgnJ2Padyu9UrcGBSjMEcPCijn2tZfcWP/UJ+/Gipz6ukXf7lq1Tnv3Sqb6HliuBLhGwX0kfTQVw/hg8BfhDIBwnOR94NPAL4F+BTwN/Pc31RzMJ4FBysHEO8HLg14CfAp/PRPNd+V0bmNIZ4BIQYwVCiSLN0kMCqYRkbPtO5XeqJuJApTkCuI6Tjbs4W9rFOqX6/luuBOogYL9SB9ViNhXAxXi1LbUCuETEYgVCiSLN0kMCqYRkbPtO5XeqJuJApTkCOHjywN22G1izbjM7d0/ejfSAn0WXIHdxv2wX65Tq+2+5EqiDgP1KHVSL2VQAF+PVttQK4BIRixUIJYo0Sw8JpBKSse07ld+pmogDlWYJ4Alv7ti6g4uv2xy9BLmuvcWp2msot4t1SsnTsiVQNQH7laqJFrenAC7OrE05FMAlohUrEEoUaZYeEkglJGPbdyq/UzURByrNFMBVtoc69hZX6V8ZW12sUxkO5pFAEwnYr6SPigI4fQzq9EABXIJurEAoUaRZekgglZCMbd+p/E7VRByodF8A17G3OFV7nSi3i3VKzdTyJVAVAfuVqkiWt6MALs+uDTkVwCWiFCsQShRplh4SSCUkY9t3Kr9TNREHKt0XwKGGVe8tTtVeJ5fbxTo1gas+SCCWgP1KLMH4/ArgeIZNtqAALhGdWIFQokiz9JBAKiEZ275T+Z2qiThQ6YcAnqhlVXuLU7XX6crtYp2axFdfJFCUgP1KUWLVp1cAV8+0SRYVwCWiESsQShRplh4SSCUkY9t3Kr9TNREHKv0SwKnameVKQAL9IWC/kj7WCuD0MajTAwVwCbqxAqFEkWbpIYFUQjK2fafyO1UTcaCiAE7V9ixXAhLoJgH7lfRxVQCnj0GdHiiAS9CNFQglijRLDwmkEpKx7TuV36maiAMVBXCqtme5EpBANwnYr6SPqwI4fQzq9EABXIJurEAoUaRZJFCIQIwITdm+Y/wuBKjCxA5UFMAVNidNSUACEsB+JX0jUACnj0GdHiiAS9BNKRBKuGuWHhKIEZIp23eM36nC7EBFAZyq7VmuBCTQTQL2K+njqgBOH4M6PVAAl6CbUiCUcNcsPSQQIyRTtu8Yv1OF2YGKAjhV27NcCUigmwTsV9LHVQGcPgZ1eqAALkE3pUAo4a5ZekggRkimbN8xfqcKswMVBXCqtme5EpBANwnYr6SPqwI4fQzq9EABXIJuSoFQwl2z9JBAjJBM2b5j/E4VZgcqCuBUbc9yJSCBbhKwX0kfVwVw+hjU6YECuATdlAKhhLtm6SGBGCGZsn3H+J0qzA5UFMCp2p7lSkAC3SRgv5I+rgrg9DGo0wMFcAm6KQVCCXfN0kMCMUIyZfuO8TtVmB2oKIBTtT3LlYAEuknAfiV9XBXA6WNQpwcK4BJ0UwqEEu6apYcEYoRkyvYd43eqMLdwoDIHOBs4GVgA3AV8BfhT4JYKONqvVABRExKQQH8JtLBf6VywFMCdC+lDKuRApUR8UwqEEu6apYcEYoRkyvYd43eqMLdsoBLE79eB3wJuBa4AngQsAe4AngXcGMmydf3KHVt3cNG1m1h7811s27GLfcf2YdnB81hx1HwOmjsWicPsEpCABIoRaFm/UqxyLUmtAG5JoEq62bqBSsl6VpotpUCotCIa6yyBGCGZsn3H+J0qmC0bqPwZ8E7gu8ALgG0Zt7cA5wLfBp4TybI1/cr2nbs559L1rFl3Czt337dHtWfP2ouTFs9n1fJx5syeFYnF7BKQgATyEWhZv5KvUi1LpQBuWcAKutuagUrBetWaPKVAqLViGu8MgRghmbJ9x/idKngtGqjMBm4H9geeCVw/hdn3gKcBRwHrIni2ol8J4vfUC665f9Z32LN04QGsXrlEETwMlJ9LQAKVEGhRv1JJfZtoRAHcxKhU51MrBirVVbcaSykFQjU10ErXCcQIyZTtO8bvVDFt0UDlWODybInzIdPwCjPDYYb4HOBdETxb0a+c/dnv86lrNueu5slLFvDeVxyRO70JJSABCZQl0KJ+pWwVG59PAdz4EEU52IqBSlQNa8icUiDUUB1NdpBAjJBM2b5j/E4VxhYNVN4E/BXwaWDFNLxeAnwB+BxwYgTPxvcrt2/dztHvu3zaZc+D6h2WQ1911nHuCY5oGGaVgATyEWhRv5KvQi1MpQBuYdAKuNz4gUqBuowsaUqBMLJKWlCrCcQIyZTtO8bvVAFr0UDlg8CbMxEc9vxOfZ4O/Avwz8DiCJ6N71c+evlGPnDZDYWr+LYTDuOMY6ebPC9sygwSkIAEBhJoUb/S2SgqgDsb2vsr1viBShPxpxQITeShT80jECMkU7bvGL9TRaFFA5W/A34P+HPgT6bhFZTdRiAow8Ny8Fw/IM2i8fHxsfXrB32cw3LNSU45fy1XbLyzcCnHHHogF562tHA+M0hAAhIoQqBF/UqRarUqrQK4VeEq7KwCuDAySCkQSrhrlh4SiBGSKdt3jN+pwtyigcrfA68D3pOdBD0V2aGZ+O28AD7xvCu5ftPdhZvMkQv255LTjy6czwwSkIAEihBoUb9SpFqtSqsAblW4CjurAC6MTAFcAplZRkwgRkgqgIsFq0UDFZdAZ6F1BrhYGze1BCQwWgIt6ldGC2aEpSmARwg7QVFRAjh2oBwzSE/A6sEiY+ud0nfLlkCTCbTxN6FFAxUPwcoav3uAm/wroG8SkECL+pXOBksBnD+0jwBeACwHfhN4EjAL+BHwGSC8fd+W3xw/Bn59hvRPAX5YwN50SRXAJQAqgEtAM4sEchBQAOeAVD5J3muQwlVIq8oX0/yzJTwFOiK6ZpWABGonoACuHfHQAhTAQxE9mCDsrQp7rMITTv/YAOwH/BYwNxOrzwFuz2lyQgCvHpD+bODWnLYGJVMAlwCoAC4BzSwSyEFAAZwDUvkkD8v6n0cBzwSun2Lqe8DTgCXAteWLab4ADnXzHuCICJtVAhKolYACuFa8uYwrgHNhuj/R7wLLsismwkmaE8/jgC8CRwKfAl6V0+SEAK4zBgrgnMGYnEwBXAKaWSSQg4ACOAekuCThAKw/Bq7KViz9IjMXrkU6F/gOcExcEfUK4Du27uCiazex9ua72LZjF/uO7cOyg+ex4qj5he7o3b5zN6decM39doY9SxcewOqVS5gzOyzq8pGABCRQLwEFcL1881ivU3zlKb8raZ6VDTh2ZLPCv8xRMQVwDkgpkiiAU1C3zD4QUADXHuU5wDeBcJdPWEF0RbbVJvz/luwlbti2E/NEvVgdVHAQrOdcup41625h5+779kg2e9ZenLR4PquWj+cWqg/Y3MCadZsrsxkDzrwSkIAEAgEFcPp2oACuJgZhf/DEm/bH51y6rACuhn3lVhTAlSPVoATuJ6AAHklDeHhYAZytRpoP/Az4SnY10uYKPKhcANc9WxtmlS++bjNX37Qlala5AnaakIAEJKAAbkAbUABXE4SnAj8Admb7gcNM8LBnQgC/HVgEhDxhb/ElwB3DMuf8PGqgEisE2zjYDVxj650zNiaTQO8ItPE3wTf1ezTTqH5lukbvft3e/RRYYQn0moD9SvrwK4CriUE4HCscknUp8NKcJgedAn0P8Abg/Jx2ZkoWNVCJFYJtHOwqgCtodZqQwAACbfxNcKBSrwD2xGZ/LiQggb4RsF9JH3EFcHwMXgx8AdiVXY8UTtrM83wE+AawLpvxPRhYCbwxu17pROBzeQxlM8fTJV00Pj4+tn59mFgu/iiAizMzhwQkMJiAArgTrSPqxepUAt7Z24k2YSUkIIECBBTABWDVlFQBHAc23NV7JfBo4E3Ah+PM3Z/7vwN/C9wAHJbT3iCFqwDOCXBysljhX6JIs0igFwQUwJ0Ic6UC+JTz13LFxjsLgznm0AO58LRwtpePBCQggXYRUACnj5cCuHwMnpiJ3wXAB4E/Km/qITn3zg7RegwQZoVvjrAbNVCJFYJtHOwG1rH1joiXWSXQaQJt/E1woLJHk4zqV6ZaO/G8K7l+092F2/2RC/bnktOPLpzPDBKQgARSE7BfSR0BUACXi8GB2fUSTwY+BpwG7HlvQznbIVe4wzFcrRR69/D3sk/UQCVWCLZxsKsALtvUzCeB4QTa+JvgQKVeAewM8PDvjSkkIIFuEbBfSR9PBXDxGMwFLgeOAj4LrAB2FzczY45/BYK4fjrw/QjbCuAS8GKFf4kizSKBXhBQAHcizFH9ylQC7gHuRJuwEhKQQAECCuACsGpKqgAuBnYM+DJwLPDV7MTnXxYzMTT14dmVSvdme4tj7EcNVGKFYBsHuyE6sfUeGmETSKCnBNr4m+BAZY/GGtWvTLXmKdA9/TGw2hLoMQH7lfTBVwDnj8Es4NNAOJ35CuCFQLiyaKbnTCD8CXf7nj0p4QlAOPUjnAA9+Xka8L+AcLhWOCU6nAgd80QNVGKFYBsHuwrgmOZmXgnMTKCNvwkOVOoVwMG69wD7yyEBCfSJgP1K+mgrgPPHIIjRD2XJg6D9+YCsb83Ebfj4XcAqYDXwmknpJ/7934Ebs2uQFgLPBPYBvgWE65WGCexh3iuAhxGa5vNY4V+iSLNIoBcEFMCdCHNUvzIdge07d3PqBdew9ua7hgJauvAAVq9cwpzZ4Z20jwQkIIH2EVAAp4+ZAjh/DCZE67AcQcj+OEs0SACHA65el90b/HjgUZmgDvt9P5kdrFXFvuKogUqsEGzjYDfELbbewxqIn0ugrwTa+JvgQGWP1hrVrwxq+0EEn3PpBtas28zO3XueKTl71l6ctHg+q5aPK377+gNivSXQEQL2K+kDqQBOH4M6PYgaqMQKwTYOdhXAdTZHbfedQBt/ExyojEYAT5Ryx9YdXHzdZq6+aQvbduxi37F9WHbwPFYcNZ+D5oZjOHwkIAEJtJuA/Ur6+CmA08egTg8UwCXoxgr/EkWaRQK9IKAA7kSYo/qVThCwEhKQgAQiCCiAI+BVlFUBXBHIhpqJGqjECsE2DnZDHGPr3dC2oFsSSE6gjb8JDlT2aDZR/UryRqgDEpCABBITsF9JHABAAZw+BnV6EDVQiRWCbRzsKoDrbI7a7juBNv4mOFBRAPf9e2v9JSCBagnYr1TLs4w1BXAZau3JowAuEatY4V+iSLNIoBcEFMCdCHNUv9IJAlZCAhKQQAQBBXAEvIqyKoArAtlQM1EDlVgh2MbBrjPADW3JutUJAm38TXCg4gxwJ758VkICEmgMAfuV9KFQAKePQZ0eKIBL0I0V/iWKNIsEekFAAdyJMEf1K50gYCUkIAEJRBBQAEfAqyirArgikA01EzVQiRWCbRzsOgPc0JasW50g0MbfBAcqzgB34stnJSQggcYQsF9JHwoFcPoY1OmBArgE3VjhX6JIs0igFwQUwJ0Ic1S/0gkCVkICEpBABAEFcAS8irIqgCsC2VAzUQOVWCHYxsGuM8ANbcm61QkCbfxNcKDiDHAnvnxWQgISaAwB+5X0oVAAp49BnR4ogEvQjRX+JYo0iwR6QUAB3IkwR/UrnSBgJSQgAQlEEFAAR8CrKKsCuCKQDTUTNVCJFYJtHOw6A9zQlqxbnSDQxt8EByrOAHfiy2clJCCBxhCwX0kfCgVw+hjU6YECuATdWOFfokizSKAXBBTAnQhzVL/SCQJWQgISkEAEAQVwBLyKsiqAKwLZUDNRA5VYIdjGwa4zwA1tybrVCQJt/E1woOIMcCe+fFZCAhJoDAH7lfShUACnj0GdHiiAS9CNFf4lijSLBHpBQAHciTBH9SudIGAlJCABCUQQUABHwKsoqwK4IpANNRM1UIkVgm0c7DoD3NCWrFudINDG3wQHKs4Ad+LLZyUkIIHGELBfSR8KBXD6GNTpgQK4BN1Y4V+iSLNIoBcEFMCdCHPhfuWOrTu46NpNrL35Lrbt2MW+Y/uw7OB5rDhqPgfNHesEFCshAQlIIC8BBXBeUvWlUwDXx7YJlgsPVCY7nVIIxgyUU/rdhKDrgwSaSiDl97ps2Q5Uys8Ab9+5m3MuXc+adbewc/d9exiaPWsvTlo8n1XLx5kze1ZTm61+SUACEqiUgP1KpThLGVMAl8LWmkwK4NaESkcl0H0CZUVoIBP7Yqts2Q5UygngIH5PveCa+2d9hz1LFx7A6pVLFMHDQPm5BCTQCQL2K+nDqABOH4M6PVAA10lX2xKQQCECZUWoArgQ5roT5+pXzv7s9/nUNZtz+3LykgW89xVH5E5vQglIQAJtJaAATh85BXD6GNTpQa6ByiAHYmdcYiqWcqAc47d5JSCBwQRSfq/Llu1AZY94Du1Xbt+6naPfd/m0y54HtY6wHPqqs45zT7A/IBKQQOcJ2K+kD7ECOH0M6vRg6EBlpsIVwHWGRtsS6B+BsiI0kIr9PSpbtgOV4gL4o5dv5AOX3VC4gb/thMM449hDCuczgwQkIIE2EbBfSR8tBXD6GNTpgQK4TrraloAEChEoK0IVwIUw1514aL9yyvlruWLjnYX9OObQA7nwtKWF85lBAhKQQJsIKIDTR0sBnD4GdXowdKAyU+GxMy4xFUs5UI7x27wSkMBgAim/12XLdqCyRzyH9isnnncl12+6u/BX4cgF+3PJ6UcXzmcGCUhAAm0iYL+SPloK4PQxqNODoQMVBXCd+LUtAQlMJlBWhAYbsS/kypbtQKW4AHYG2O+9BCQggcEE7FfStw4FcPoY1OmBArhOutqWgAQKESgrQhXAhTDXnXhov+Ie4LpDoH0JSKDNBBTA6aOnAC4egznA2cDJwAIgXHL4FeBPgVsKmtsfeBdwIvBY4Dbgc8AqoPj6sT0LHzpQmcnf2BmXgiwekjzlQDnGb/NKQAKDCaT8Xpct24HKHvEc2q94CrS/AhKQgAQGE7BfSd86FMDFYhDE79eB3wJuBa4AngQsAe4AngXcmNPkPOC7wKHATcB1wOHZnx8By4AtOW0NSjZ0oKIAjiRsdglIIDeBsiI0FBD7Qq5s2Q5UigvgkMN7gHN/LUwoAQn0jID9SvqAK4CLxeDPgHdmwvUFwLYs+1uAc4FvA8/JafIfgVOAzwL/FdiV5fsI8IdA+PzUnLYUwJMIxA6UI5mbXQISGECgrAhVADeqSeV6sbp9525OveAa1t4cFknN/CxdeACrVy5hzuxZw5L6uQQkIIHWE1AApw+hAjh/DGYDtwNh2fIzgeunZP0e8DTgKGDdELNhufNPgN3AfOCnk9KPAZuBA4AnTPksv7cPpMw1UBlkNKWQTDlQLgrZ9BKQQD4CKb/XZct2oLJHbHP3K0EEn3PpBtas28zO3fftYWj2rL04afF8Vi0fV/zm+wqZSgIS6AAB+5X0QVQA54/BscDl2RLnQ6bJFmaGwwzxOdm+3pksvxa4IFtO/fxpEp4PrARCuo/nd7H8QGW6MhTAEeTNKgEJ7EGgrAgNhmJ/j8qW7UAlvl+5Y+sOLr5uM1fftIVtO3ax79g+LDt4HiuOms9Bc8M7Xx8JSEAC/SFgv5I+1grg/DF4E/BXwKeBFdNkewnwhewQq3Co1UzPh4A3Au8H3j5NwjOAjwIh3Zvzuxg/UJlsIXbAGeE3ZQerVQyUY/w2rwQkMJhAyu912bIdqFTbr/j9kIAEJNB3AvYr6VuAAjh/DD6YidEggsOe36nP04F/Af4ZWDzEbNj3G0RyEMFhz+/U52WZkA7pfju/i9UOVBTAEeTNKgEJ7EGgrAit4sVW2bIdqFTbr/i1kIAEJNB3AvYr6VuAAjh/DP4O+D3gz4E/mSZbWBa9EbgBOGyI2cuA4zN7/zBN2rAs+mtASHdCDhfXD0jz5LGxsb0XLVqUw8SeSbZu3VoqXxWZ5s6dW9pMSr9LO21GCfSAQMrvddmyb7zxRnbs2BF+DPfrQYjyVPHnY2Njc8v2K3kKMI0EJCCBLhOwX0kfXQVw/hj8PfA64D3ZSdBTc4brjIL4zSOAg7gNIjfYC/t9pz5BHAfxGyuAfwO4NztUK39NR5NyQpXnvTZqNF5ZyqgIGP9RkW5mOW2Kfzio8J7srvZm0hytV+G++keU7FfaFPfRUm1WacapWfEY5I1xam+c7FcSx04BnD8AbVwCnb92o085MWsd7j726R8B49+/mE+usfHvZ/yNezvibpyMUzsItMNLv08NjJMCOH9Q2ngIVv7ajT6lPwijZ96kEo1/k6Ixel+M/+iZN6FE496EKAz3wTgNZ9SEFMapCVEY7oNxGs5o5CkUwPmR570GKVyFtGqI2bzXIIWrkD6W38VWpfQHoVXhqtxZ41850lYZNP6tCldlzhr3ylDWasg41Yq3MuPGqTKUtRoyTrXiLWdcAZyf28OA24FHAc8Erp+S9XvA04AlwLVDzD4OuAXYBYR9AMHuxBMuRdwMzAOeAIT9Vl18/EHoYlTz18n452fVxZTGv4tRHV4n4z6cURNSGKcmRGG4D8ZpOKMmpDBOTYjCFB8UwMWCEg7A+mPgKuAFwC+y7OFapHOB7wDHTDJ5JhD+XAKcPaWoTwCvBj4D/E4mhkOSDwNvAMLnpxRzr1Wp/UFoVbgqd9b4V460VQaNf6vCVZmzxr0ylLUaMk614q3MuHGqDGWthoxTrXjLGVcAF+M2B/gmsBS4FbgC+PXs/7cAy4AfTTL5rmw59GrgNVOKOhC4Ggin+IWTkK8DwoFQT83+P9i6s5h7rUrtD0KrwlW5s8a/cqStMmj8WxWuypw17pWhrNWQcaoVb2XGjVNlKGs1ZJxqxVvOuAK4OLeHZ7O5r8qWL/8M+Ep2NVJYujz5mUkAh3SPBs4BXg78GvBT4POZaL6ruGvmkIAEJCABCUhAAhKQgAQkIIFBBBTAtg0JSEACEpCABCQgAQlIQAIS6AUBBXAvwmwlJSABCUhAAhKQgAQkIAEJSEABbBuQgAQkIAEJSEACEpCABCQggV4QUAD3IsxWUgISkIAEJCABCUhAAhKQgAQUwLYBCUhAAhKQgAQkIAEJSEACEugFAQVwL8JsJSUgAQlIQAISkIAEJCABCUhAAWwbkIAEJCABCUhAAhKQgAQkIIFeEFAA9yLMrajkk4GXAS8ADs3uRQ53LF8F/BVwRStqoZPDCMzJ7tE+GVgAhPuuwz3afwrcMiyzn7eWwCOy7/Zy4DeBJwGzgB8BnwE+CGxrbe10fBgBv/fDCI3m88XA8cASYCnweGAHEOIz0/O7wJnAOPBL4GrgPVn/PBrP+1NKzG+lcRp9O3kL8GzgCOAx2XfpNuCbwF8C6we4ZKxGH6uHlKgAThwAi3+QQBA/TwB+DqwFgvgNne1TgfuA8CPzIXm1mkAYZH0d+C3g1uylRhBCYTB2B/As4MZW11DnBxF4HfD32YdhQLAB2C9rC3OBHwLPAW4XYecI+L1vTkg/l71onuzRMAEcXk69GbgXuCwb4B8HhPHjK4FLmlO9TnhS9rfSOKUJ/53AI4HvAz/JXDgc+I3sZdHLgS9Pcc1YpYmVArgB3HVhTwKhY/1YNhsU3jBPPL8P/A2wG3haNnCWXzsJ/BnwTuC72WzgxIxfeLlxLvDtTAS1s3Z6PROB8LZ7WbaaY+OkhI8DvggcCXwKeJUYO0fA731zQvoOIMwwXpv9CTNVMwng52UvLbdkLygnvrvhZWWY4QqieGH2wro5tWy3J2V+K41TupgfDawDtk9x4fXAecB/ZKvdwhg2PMYqXawUwA1hrxv5CXw1E0zvAs7Jn82UDSIwO5vd2x94JnD9FN++l73gOCrrTBrkuq7UTCAMpsNWhzAQD7PCk1+A1Vy05msm4Pe+ZsCR5sPqqpkEcHg59eJsBnjqCqwPA28A3pq9wIx0xew5CAz6rTROOeAlSBJeGB0ChBnhsOopPMYqQSCmK9Il0A0JhG7MSCDso3gb8HdAmBH2aR+BY4HLsyXOoUOY+oSZ4TBTFF5whBcdPv0hEGakfpFVN+xJDMvjfbpBwO99s+M4kwAOS9fvBsaA+dOc0XBMtmrnW8Bzm13Nzng33W+lcWpueMPWnsOyc23CeRfGqkGxUgA3KBi6MpDAGuC3M4G0Sk6tJPCmbPnrp4EV09TgJcAXgLBH7cRW1lCnyxII+/x/AOwEwn7gMCPl0w0Cfu+bHceZBPAzspU64XyGcLjP1CfsewzbWMJ5HQc0u5qd8W6630rj1MzwhqXsq4EbgKcAvwKMVYNipQBuUDB0ZVoCi7JT9MJbaJfHtreRTBz6EE70Dnt+pz5PB/4F+GcgnFTq0x8C4XCscPDLpcBL+1PtXtTU732zwzyTAA7fxc9nIjhsW5nuCeI3bGsJWxe2NruqnfBuut9K49SM0IZVimGpc3gxFARv+HvY/xviE/YIh8dYNSNW93uhAG5QMHRlDwL7AN/Ijpi/CPgdGbWWQFi+/nvAnwN/Mk0twrLosF8mvC0NS4Z8+kEg7C8MM/+7suuRwl5wn+4Q8Hvf7FjOJIDDgXSfBK7M+uDpajJxe4NbF+qP86DfSuNUP/s8JfwTEE5Hn3g2A6cAYYvAxGOs8pAcURoF8IhA96CYsEw5LM8p8oQlItfMkOGvgT8AbsoGx+HOWJ92Eph4cx3ujgz7fac+4e7nIH4VwO2Mbxmvw1vyMLh+NBCWyoZDdXy6RcDvfbOnVJR6AAAgAElEQVTjOZMAfjXwCeA7QNjvO90Trn0J4lcBXG+cZ/qtNE71si9qPayICHcC/ynw/OyFf3jxHx5jVZRmjekVwDXC7Znp60osXQ0HpISrFKZ7wo9HOBDpp9nb53CAgE97CbgUsr2xq8PzJ2bidwEQ2sYf1VGINpMT8HufPAQzOuAS6GbHJ3g37LfSZbXNjGE4AT9c+Ri2DyzNrh0zVg2KlQK4QcHQlQcJnAF8FPg/2emSYW+oT7sJeBhOu+NXpfcHAlcAT87u/j4NCANxn+4R8Hvf7JhWcQhWOCk6rOLwqZ5Ant/KvAcrGafq4zPMYtgXHG4xeXc2I2yshhEb4ecK4BHCtqhcBMISkQuBe7O7f8MSSZ/2E8h7HUq4CsmTvtsf70E1CKc8h+uwwoF2n81OBN/d3er2vmZ+75vdBGYSwA/PTngedg3St4HnNLuarfQu72+lcWpueF8LXAD8DfB6wFg1KFYK4AYFQ1cIhzyEUyfDcfHLgctk0hkCDwNuBx6VLQm6fkrNwuFHTwOWZEuFOlNxK/IggTCQ/jIQRNFXsxMxfymfThPwe9/s8M4kgIPnXwJeBLwZ+NCUqoQ9+28A3g68v9nVbJ13RX8rjVMzQ/xx4FQgzAR/IHPRWDUkVgrghgRCNzga+BoQ9k28MrsPVizdIhAOwPpj4Kpsdv8XWfXCtUjnDjlspVsk+lebWUC4Azrc8RyWP78QuKd/GHpZY7/3zQ37MAEcDvEJ/fIW4FnZSf2hNuHv4YaGcGf3QsADKquLcZnfSuNUHf8ilsLhcOEAuM9kNxlM5A3j2HCAa3hpFL4j4WaLcCp0eIxVEcI1plUA1whX04UITNwneDMQllRN94TTKP+hkFUTN4nAnOzQs3AgxK2ZEPr17ICIMMBaBnjYWZMiVp0vb5w0g3QJ8PMBpt8K3FldsVpqAAG/9w0IQubCS6acwh9+i4MInnwbQ9iv+MVJLodBfPj+hhdWQQyHWf3jgb2zLQxh8O9THYGyv5XGqboY5LX0muwci9Bnhbt+wzgm7NsOp0A/DtiezQBfPMWgscpLuMZ0CuAa4Wq6EIE8h+CsBsIPjk97CYQ9MGcD4T68+dkes69kg7KJN6TtrZ2eDyLwrpx7u8Ns0o/F2DkCfu+bEdKJAftM3oR9i2Hp5uQn5DsTCNfx7ASuBsLMfngp7VMtgZjfSuNUbSyGWQv91euyPfAHZ+I3bOsJfVg46+IjM7zUN1bD6Nb8uQK4ZsCal4AEJCABCUhAAhKQgAQkIIFmEFAANyMOeiEBCUhAAhKQgAQkIAEJSEACNRNQANcMWPMSkIAEJCABCUhAAhKQgAQk0AwCCuBmxEEvJCABCUhAAhKQgAQkIAEJSKBmAgrgmgFrXgISkIAEJCABCUhAAhKQgASaQUAB3Iw46IUEJCABCUhAAhKQgAQkIAEJ1ExAAVwzYM1LQAISkIAEJCABCUhAAhKQQDMIKICbEQe9kIAEJCABCUhAAhKQgAQkIIGaCSiAawaseQlIQAISkIAEJCABCUhAAhJoBgEFcDPioBcSkIAEJCABCUhAAhKQgAQkUDMBBXDNgDUvAQlIQAISkIAEJCABCUhAAs0goABuRhz0QgISkIAEJCABCUhAAhKQgARqJqAArhmw5iUgAQlIQAISkIAEJCABCUigGQQUwM2Ig15IQAISkIAEJCABCUhAAhKQQM0EFMA1A9a8BCQgAQlIQAISkIAEJCABCTSDgAK4GXHQCwlIQAISkIAEJCABCUhAAhKomYACuGbAmpeABCQgAQlIQAISkIAEJCCBZhBQADcjDnohAQlIQAISkIAEJCABCUhAAjUTUADXDFjzEpCABCQgAQlIQAISkIAEJNAMAgrgZsShLi9uAx4BbK6rAO1KQAIS6DiB+cA9wGM7Xk+rJwEJSEACEugFAQVwt8P887GxsbmLFi3qdi2tnQQkIIGaCNx4443s2LFjK7BfTUVoVgISkIAEJCCBERJQAI8QdoKi1o+Pj4+vX78+QdEWKQEJSKD9BA4//HA2bNiwATi8/bWxBhKQgAQkIAEJKIC73QYUwN2Or7WTgARqJqAArhmw5iUgAQlIQAIjJqAAHjHwERenAB4xcIuTgAS6RUAB3K14WhsJSEACEpCAArjbbUAB3O34WjsJSKBmAgrgmgFrXgISkIAEJDBiAgrgEQMfcXEK4BEDtzgJSKBbBBTA3YqntZGABCQgAQkogLvdBhTA3Y6vtZOABGomoACuGbDmJSABCUhAAiMmoAAeMfARF6cAHjFwi5OABLpFQAHcrXhaGwlIQAISkIACuNttQAHc7fhaOwlIoGYCCuCaAWteAhKQgAQkMGICCuARAx9xcQrgEQO3OAlIoFsEFMDdiqe1kYAEJCABCSiAu90GFMDdjq+1k4AEaiagAK4ZsOYlIAEJSEACIyagAB4x8BEXpwAeMXCLk4AEukVAAdyteFobCUhAAhKQgAK4221AAdzt+Fo7CXSSwL333svDH/7wB+t2zz33sGXLFubPnz/y+iqAR47cAiUgAQlIQAK1ElAA14o3uXEFcPIQ6IAEJFCEwO7du9lvv/2YN28eQXyec845vP71ryeI4O9+97vsv//+RcxFp1UARyPUgAQkIAEJSKBRBBTAjQpH5c4ogCtHqkEJSKBOAjfeeCOHHHLIg0UEwXv33Xff///HH388X/rSl/i/7J0J2FXT+/5vFSmUSsWXBqLh/ZdCI1KplGapkFBSkpKhkUSUBtFIKISIqGRqUEkpKaHSJIlUNEgjmvhf9+rd53d6e4cz7L3P3vvcz3W59L5nr2c96/Ns32/3WWs9T44cOZwM4QTfEsCuodZEIiACIiACIuAKAQlgVzAnbBIJ4ISh18QiIAKxEPjwww/RpEkTM/TCCy/E7bffbnaBLevSpQtGjx4di+uYxkgAx4RNg0RABERABETAswQkgD2bGlsCkwC2BaOciIAIuEVg8ODB6NOnj5muUaNGmD59Om655RZMnjw5FMJzzz2Hzp07uxKSBLArmDWJCIiACIiACLhGQALYNdQJmUgCOCHYNakIiECsBLjj+8Ybb5jhPXv2xJAhQ8z93xo1auDrr782v8+ePTtmz56Na6+9NtZpIh4nARwxKj0oAiIgAiIgAr4gIAHsizTFHKQEcMzoNFAERCARBCpWrIjly5ebqSdMmIA77rjD/Hnbtm2oXLkytm7dan6+8sorsWjRIsdDlAB2HLEmEAEREAEREAFXCUgAu4rb9ckkgF1HrglFQARiJfDvv//irLPOMju+tGXLloGC2LK5c+eiTp065ke2STpw4ACyZcsW63QRjZMAjgiTHhIBERABERAB3xCQAPZNqmIKVAI4JmwaJAIikAgCmzZtwkUXXRSaev/+/TjzzDNDP1PwUiBb9tNPP5lCWU6aBLCTdOVbBERABERABNwnIAHsPnM3Z5QAdpO25hIBEYiLwEcffYTGjRsbH8WLFwcFcVrj73/55Rfzaz7fsGHDuObMarAEcFaE9LkIiIAIiIAI+IuABLC/8hVttBLA0RLT8yIgAgkjMHToUPTq1cvM36BBA3z88ccnxXL99ddj5syZ5vdPP/00unfv7mi8EsCO4pVzERABERABEXCdgASw68hdnVAC2FXcmkwERCAeAix49frrrxsXPXr0AAVxWhs5cqSpBl2mTBnUq1cPV1xxRTxTZjlWAjhLRHpABERABERABHxFQALYV+mKOlgJ4KiRaYAIiECiCLC10cKFC7FmzRqwHVLTpk0TFUpoXgnghKdAAYiACIiACIiArQQkgG3F6TlnEsCeS4kCEgER8BMBCWA/ZUuxioAIiIAIiEDWBCSAs2bk5yckgP2cPcUuAiKQcAISwAlPgQIQAREQAREQAVsJSADbitNzziSAPZcSBSQCIuAnAhLAfsqWYhUBERABERCBrAlIAGfNyM9PSAD7OXuKXQREIF0CS5YswYIFC7B27VpTLbply5aOkZIAdgytHIuACIiACIhAQghIACcEu2uTSgC7hloTiYAIxENg8ODBpr9vSkqKqe5csmTJDN117doVY8aMMZ936tQJY8eOjWfqTMdKADuGVo5FQAREQAREICEEJIATgt21SSWAXUOtiURABOIhULlyZSxbtsy4ePnll3HnnXdm6I6Ct3Pnzubza665Bp9//nk8U0sAO0ZPjkVABERABETAewQkgL2XEzsjkgC2k6Z8iYAIOELg33//RZ48eXDw4EHjn0ecq1SpkuFc8+fPR61atczn55xzDnbu3OlIXHSqHWDH0MqxCIiACIiACCSEgARwQrC7NqkEsGuoNZEIiECsBHj0uXjx4qHhe/fuNYI4I9uxYwcKFy4c+pg/FyxYMNbpMx0nAewIVjkVAREQAREQgYQRkABOGHpXJpYAdgWzJhEBEYiHwIwZM0wxK1qRIkWwefPmTN39999/RvD+8ccf5jkegeZRaCdMAtgJqvIpAiIgAiIgAokjIAGcOPZuzCwB7AZlzSECIhAXgWHDhqFHjx7GBwtgzZw5M0t/1atXxxdffGGee+GFF3D33XdnOSaWBySAY6GmMSIgAiIgAiLgXQISwN7NjR2RSQDbQVE+REAEHCXAglevvvqqmeOBBx7As88+m+V8FLwvvfSSee6+++7DyJEjsxwTywMSwLFQ0xgREAEREAER8C4BCWDv5saOyCSA7aAoHyIgAo4SqFq1Kr766iszx/jx49G+ffss5xsxYoQRy7Q6derg008/zXJMLA9IAMdCTWNEQAREQAREwLsEJIC9mxs7IpMAtoOifIiACDhGgPd58+bNi/3795s5Fi9ejGrVqmU53+zZs81xadr555+PLVu2ZDkmlgckgGOhpjEiIAIiIAIi4F0CEsDezY0dkUkA20FRPkRABBwj8Ouvv6Jo0aIh/3v27DGCOCuj4GXBLMsiHZeV37SfSwBHS0zPi4AIiIAIiIC3CUgAezs/8UYnARwvQY0XARFwlMCsWbNQv359M0c0O7nWznGOHDlQpkwZTJw4ERdeeKHtsUoA245UDkVABERABEQgoQQkgBOK3/HJJYAdR6wJREAE4iHAFkh9+/bF2rVrwcrOFMSR2u7du5EvXz6ccopz/1cmARxpNvScCIiACIiACPiDgHN/a/DH+oMepQRw0DOs9YlAQAgcO3YM+/btM4LWSyYB7KVsKBYREAEREAERiJ+ABHD8DL3sQQLYy9lRbCIgAp4nIAHs+RQpQBEQAREQARGIioAEcFS4fPewBLDvUqaARUAEvERAAthL2VAsIiACIiACIhA/AQng+Bl62YMEsJezo9hEQATiJnD48GFs2LABa9asQaNGjZArV664fYY7kAC2FaeciYAIiIAIiEDCCUgAJzwFjgYgAewoXjkXARGIh8BPP/1khGtKSgqKFy+ObNmyReXu33//xdlnnx3qIbx8+XJcfvnlUfnI6mEJ4KwI6XMREAEREAER8BcBCWB/5SvaaCWAoyWm50VABFwjMHz4cDz44INmvuuvvx6ffPJJ1HNXqFABK1asMOPeeOMNtGnTJuSDArldu3Zo3bo16tWrF7VvDpAAjgmbBomACIiACIiAZwlIAHsnNfkBrANQEMB6AKVtCE0C2AaIciECIuAMgQ4dOmD8+PHG+X333YeRI0dGPRHF7aRJk8y4hx9+GAMHDgz5eO2119C2bVvz84033og333wTOXPmjGoOCeCocOlhERABERABEfA8AQlg76RoAoDbATAnEsDeyYsiEQERcIjAlVdeiS+//NJ4f/HFF9GxY8eoZxowYAAeffRRM65Zs2aYNm2a+fOePXtQsmRJ7Ny50/zcvHlzTJkyJWr/EsBRI9MAERABERABEfA0AQlgb6SnNoA5AF4CwL8BSgB7Iy+KQgREwCECBw4cQP78+XHkyBEzA4Vw1apVo55t6tSpZneXVqpUKaxbx4M0QNeuXTFmzBjzZxbG4u+LFi0atX8J4KiRaYAIiIAIiIAIeJqABHDi08OSpSsBHOYGBoAfJIATnxRFIAIi4CyBDz/8EE2aNDGTsJAVd2pz5MgR9aRr1641RbRo2bNnx8GDB7F69WpUqlQJvANMe+qpp9CnT5+ofXOABHBM2DRIBERABERABDxLQAI48akZDKAngJoANgPYJAGc+KQoAhEQAWcJ3HvvvXj++efNJC1btsTkyZNjmpA7yLlz58bRo0fN+JUrV5qj1EuWLDE/c1eYvzvttNNi8i8BHBM2DRIBERABERABzxKQAE5sai4FsBzA6wDaAyguAZzYhGh2ERAB5wn8999/KFGiBDZt4vd9wMsvv4w777wz5olTRaoZX79+fcycOTPka/bs2ahbt268vtdwMzhmJxooAiIgAiIgAiLgGQISwIlLBRtesvrLRakVn/+QAE5cMjSzCIiAewR++OEHszNr2ZYtW3D++efHHECLFi1CBa7YB3j79u3YunVrXDvLVjDaAY45LRooAiIgAiIgAp4kIAGcuLR0AzACQDsArABNi3UHeHUGyyiRkpKSk/fhZCIgAiLgFQKjRo1Ct278n0CgXLly5ohyPNavXz88+eSTxsVNN92EcePGmXu/PGZ9wQUXxONad4DjoqfBIiACIiACIuA9AhLAiclJEQA8Usfjz7z7a5kEcGLyoVlFQARcJNCgQQPMmDHDzNizZ08MGTIkrtnffvtt3HLLLcZH2bJlsWrVqrj8hQ/WDrBtKOVIBERABERABDxBQAI4MWn4EMB1ACoAWGuDAM5oFatTUlJStAOcmCRrVhEQgZMJ8P4v7+nOnTsXx44dw7x581CrVq24UPEINe/6lilTxvzDqtJ2mQSwXSTlRwREQAREQAS8QUACODF5+A/AHgAr0kx/OoAqAP4GsDT1s0YADsQYpgRwjOA0TAREwFkCf/75pxHBbIUUa4VmZyM87l0C2A3KmkMEREAEREAE3CMgAewe6/CZKIAjtXypYjnS58OfkwCOhZrGiIAIiEAqAQlgvQoiIAIiIAIiECwCEsDeymesd4AzWoUEsLfyq2hEQAR8RkAC2GcJU7giIAIiIAIikAUBCWBvvSISwN7Kh6IRARFIcgISwEn+Amj5IiACIiACgSMgAeytlEoAeysfikYERMBGAp9//jl27dqF2rVr21qoysYQT3IlAewkXfkWAREQAREQAfcJSAC7zzyzGSWAvZUPRSMCImAjgWbNmmH69OnInj07nnnmmVAvYBunsN2VBLDtSOVQBERABERABBJKQAI4ofgdn1x3gB1HrAlEQAQiIXD48GEUKFAABw4cL2o/c+ZM1KtXL5KhCX1GAjih+DW5CIiACIiACNhOQALYdqSecigB7Kl0KBgRSF4C8+fPD/X7Pf3007F7927kypXL80AkgD2fIgUoAiIgAiIgAlERkACOCpfvHpYA9l3KFLAIBJNA7969MWTIELO4+vXrY8aMGb5YqASwL9KkIEVABERABEQgYgISwBGj8uWDEsC+TJuCFoHgEahQoQJWrFhhFjZixAhf3P9lrBLAwXsXtSIREAEREIHkJiABHOz8SwAHO79anQj4gsC2bdtw/vnnh2Jdt24dSpUq5YvYJYB9kSYFKQIiIAIiIAIRE5AAjhiVLx+UAPZl2hS0CASLwIQJE9CuXTuzqOLFi+Onn37CKaf44/9+JICD9S5qNSIgAiIgAiLgj7+BKE+xEpAAjpWcxomACNhG4KabbsLkyZONv06dOmHs2LG2+XbakQSw04TlXwREQAREQATcJSAB7C5vt2eTAHabuOYTARE4gcDRo0dRqFAh/Pnnn+b377//Ppo2beobShLAvkmVAhUBERABERCBiAhIAEeEybcPSQD7NnUKXASCQYCFr1gAi5YjRw7T/uiss87yzeIkgH2TKgUqAiIgAiIgAhERkACOCJNvH5IA9m3qFLgIBIPAp59+au7/bt261Qjhb7/91lcLkwD2VboUrAiIgAiIgAhkSUACOEtEvn5AAtjX6VPwIhAcAtu3b8eOHTtQrlw5Xy1KAthX6VKwIiACIiACIpAlAQngLBH5+gEJYF+nT8GLgAgkmoAEcKIzoPlFQAREQAREwF4CEsD28vSaNwlgr2VE8YiATQT+++8/37QSsmnJCXEjAZwQ7JpUBERABERABBwjIAHsGFpPOJYA9kQaFIQI2Eugf//+GD58ODp37oynnnrKXufydgIBCWC9ECIgAiIgAiIQLAISwMHKZ9rVSAAHO79aXRIS2Llzp2krZBnv1RYsWNCTJNavX489e/bg0ksvRa5cuTwZY1ZBSQBnRUifi4AIiIAIiIC/CEgA+ytf0UYrARwtMT0vAh4n8PHHH6NRo0YmSrYT2rt3r2ePQnfr1g2jRo1C9uzZ0bt3bwwYMMDjdE8OTwLYdylTwCIgAiIgAiKQKQEJ4GC/IBLAwc6vVpeEBB599NGQkGzatCnef/99z1KoXr06vvjiCxPf6NGj0aVLF8/GmlFgEsC+S5kCFgEREAEREAEJ4CR+BySAkzj5WnowCdStWxdz5swxixs0aJDZWfWiHTt2DHnz5sXBgwdNeIsXL0a1atW8GGqmMUkA+y5lClgEREAEREAEJICT+B2QAE7i5GvpwSNAUZkvXz7s37/fLO6zzz5DzZo1PbnQtWvXIiUlxcSWLVs2E3Pu3Lk9GWtmQUkA+y5lClgEREAEREAEJICT+B2QAE7i5GvpwSOwevVqlC1bNiQqef/36NGjOPvssz232IkTJ+K2224zcVFEfv/9956LMZKAJIAjoaRnREAEREAERMA/BHQH2D+5iiVSCeBYqGmMCHiUwMsvv4y77rorFN25556L33//Hbt27UKBAgU8FfWDDz5oWjXRKIRff/11T8UXaTASwJGS0nMiIAIiIAIi4A8CEsD+yFOsUUoAx0pO40TAgwQ6dOiA8ePHnxTZwoULcfXVV3sq4ho1amDBggUmphEjRoAVof1oEsB+zJpiFgEREAEREIGMCUgAB/vtkAAOdn61uiQjUK5cuXSPEr/44ovo2LGjZ2j8+++/5li2dVfZiwI9UlgSwJGS0nMiIAIiIAIi4A8CEsD+yFOsUUoAx0pO40TAYwT27dtnROV///1nIrvmmmtCO6zcXeUuq1fshx9+QKlSpUw4p5xyChj7mWee6ZXwoopDAjgqXHpYBERABERABDxPQALY8ymKK0AJ4LjwabAIeIcA2wjxmDMFMCtB9+3bFw899JAJkK2RZs+e7ZlgJ02ahNatW5t4SpcuDVaE9qtJAPs1c4pbBERABERABNInIAEc7DdDAjjY+dXqkowAqz4vW7YM27dvxznnnIP69esbAhdccAF+/fVXz9Do2bMnnn76aRMPhfCbb77pmdiiDUQCOFpiel4EREAEREAEvE1AAtjb+Yk3OgngeAlqvAh4lAAFb9GiRUPRURznyZPHE9EeOXLE7PouX74cxYoVw7XXXuuJuGIJQgI4FmoaIwIiIAIiIALeJSAB7N3c2BGZBLAdFOVDBDxIgEehKXgPHDhgoluyZAmqVKniwUj9HZIEsL/zp+hFQAREQAREIC0BCeBgvxMSwMHOr1aX5AQoeJcuXWoovPLKK2jXrl2SE7F/+RLA9jOVRxEQAREQARFIJAEJ4ETSd35uCWDnGWsGEXCcwO+//47TTz/dVIEOt7Zt2+K1114zv+revXvo3q3jASXRBBLASZRsLVUEREAERCApCEgABzvNEsDBzq9WlyQEunTpgueeew5lypQxlZ/bt29vVj506FD06tXL/Llhw4b46KOPEk6EvX/Z8ojtj4JgEsBByKLWIAIiIAIiIAL/RyAYf0NRRjMiIAGsd0MEAkCgYsWKpqAUbezYsejUqZP588KFC83PKSkpqFy5Mq677rqEr5Ytmb799ltcfvnlplUT+xX72SSA/Zw9xS4CIiACIiACJxOQAA72WyEBHOz8anVJQOCvv/5C3rx5cfToUbNaissKFSp4cuUszFWgQAH8+eefJr45c+agdu3anow10qAkgCMlpedEQAREQAREwB8EJID9kadYo5QAjpWcxomARwh88cUXqF69uokmd+7cYLujHDlyeCS6E8P4+eefceGFF4Z+uXv3buTLl8+TsUYalARwpKT0nAiIgAiIgAj4g4AEsD/yFGuUEsCxktM4EfAIgWHDhqFHjx4mmho1amD+/PkeiezkMKZMmYIWLVqYDy666CJs3LjRs7FGGpgEcKSk9JwIiIAIiIAI+IOABLA/8hRrlBLAsZLTOBHwCAEKSgpLGgteDR482CORnRzGww8/jEGDBpkPGPe7777r2VgjDUwCOFJSek4EREAEREAE/EFAAtgfeYo1SgngWMlpnAh4hMAFF1yArVu3mmimTZuGZs2anRDZjz/+iOnTp2PNmjUoVKhQSIAmIvx69eph9uzZZmoK4d69eyciDFvnlAC2FaeciYAIiIAIiEDCCUgAJzwFjgYgAewoXjkXAWcJbNmyBUWKFAlNsm3bNpx33nknTDp16lTceOON5nclS5bE+vXrnQ0qA+8sgEUBvmvXLvMEhTArQvvdJID9nkHFLwIiIAIiIAInEpAADvYbIQEc7PxqdQEn8N5776Fly5ZmlcWKFQOLTKW1devWmf7AtGzZsoFVo3PmzOk6mc2bN5sYLaMQZkVov5sEsN8zqPhFQAREQAREQAI4md4BCeBkyrbWGjgC3bt3xzPPPGPWdfPNN2PSpEknrfHIkSM444wzwH/TVq1ahbJly7rO4v3338cNN9yQqVh3PSgbJpQAtgGiXIiACIiACIiAhwhoB9hDyXAgFAlgB6DKpQi4ReDqq6/GokWLzHQjRoxAt27d0p2agnf16tXms3feeQetWrVyK8TQPCzO1adPH/NzkyZNzL3kIJgEcBCyqDWIgAiIgAiIwP8RkAAO9tsgARzs/Gp1ASfAI89Lliwx/7Rv3x7lypVLdyG0qScAACAASURBVMU8Js3j0rTHHnsMjz/+uOtkOnbsiHHjxpl5H3zwwdDOteuB2DyhBLDNQOVOBERABERABBJMQAI4wQlweHoJYIcBy70IeIEARe8TTzxhQqEYnjx5suthzZs3z+xW//TTT2YH2DoO7XogNk8oAWwzULkTAREQAREQgQQTkABOcAIcnl4C2GHAci8CXiDAY8+8I0yjYPv++++9EFYgYpAADkQatQgREAEREAERCBGQAA72yyABHOz8anUiYAisXLkS5cuXN38+9dRTTSXoHDlyiI4NBCSAbYAoFyIgAiIgAiLgIQISwB5KhgOhSAA7AFUuRcBpAuypy6rOp512WkRT/fPPP6YS9L///mueZ2ukUqVKRTRWD2VOQAJYb4gIiIAIiIAIBIuABHCw8pl2NRLAwc6vVhdQAr/88gtKly6NSpUqgZWgn3zySWTPnj3T1ZYsWRIbNmwwz0ydOjUwd3ATnWIJ4ERnQPOLgAiIgAiIgL0EJIDt5ek1bxLAXsuI4hGBCAi89dZbuPXWW82TF198cUjYZja0adOmmD9/PlJSUvDII4+gUaNGEcxkzyMffvghPvjgA5QoUQJVq1ZFzZo17XHsAS8SwB5IgkIQAREQAREQARsJSADbCNODriSAPZgUhSQCWRHo3Lkzxo4dax674447MGHChKyG4MCBA+YY9CmnuP8/6927dw+1PWK7pvHjx2cZr18ekAD2S6YUpwiIgAiIgAhERsD9vylFFpeesoeABLA9HOVFBFwlwIJWLGxFe+mll9ChQwdX5492subNm2PatGlm2MCBA/Hwww9H68Kzz0sAezY1CkwEREAEREAEYiIgARwTNlsG5QZwHYDGACoBKA6Al/x+BDAFwLMADsQ5kwRwnAA1XATcJrB3717ky5cPLIRFW716tTnWHK0dO3YM69evx9dff41ly5bhm2++QYECBTBu3DgULlw4WneZPl+hQgWsWLHCPPP222/jpptustV/Ip1JACeSvuYWAREQAREQAfsJSADbzzRSj3cBGJf68GoAawDkAXAlgLNYyBVADQA7InWYznMSwHHA01ARSASBWbNmoX79+mZqCuFdu3YhW7ZsEYfCAlrcMf7yyy/Nsei01rZtW7z66qsR+8vqQQr1PHnyhOZaunSpKd4VFJMADkomtQ4REAEREAEROE5AAjhxb8LtAKoCGA7geOnW43YegI8BXAZgEoDWcYQoARwHPA0VgUQQ6Nevn6n6TGMhKxaYitTYOmnjxo1gES3LR9qx3AXevn17llWlI51z586dKFSoUOhxCnbOERSTAA5KJrUOERABERABEThOQALYm29CNQCLARxK3RU+HGOYEsAxgtMwEUgUgdq1a2PevHlm+kGDBqF3794Rh8ICVK+88kroee4c8/h0xYoVMXHiRBw9etR8xt1hVmu2w5YsWYJq1fg/WUDevHnx559/JqQQlx1rSc+HBLBTZOVXBERABERABBJDQAI4MdyzmpX3gw+mPvQ/AL9lNSCDzyWAYwSnYSKQCAIUqGeffTYOHjz+n/+CBQtQvXr1iEPZt28fXnzxRZx66qlG9F522WWmMjStVq1apk0SrW/fvhnuEEc8WeqD4S2bOB/vGgfJJICDlE2tRQREQAREQAS0A+zVd6AsgFUAjqTeB+ZOcCwmARwLNY0RgQQRWL58uRGuNIpYFsTKlSuXLdEMGzYMPXr0ML7sFKoDBgzAo48+avy2aNEC7777ri3xesWJBLBXMqE4REAEREAERMAeAtoBtoej3V5YHItFsnj5r0kcziWA44CnoSLgNoFRo0ahW7duZloeUeZRZbts3bp16NSpExo2bGj+iaWydHqxtGvXLtSnuGfPnhgyZIhdIXvCjwSwJ9KgIERABERABETANgISwLahtM1RAwAfAeBlPZZSPd5bJHNjFen0rERKSkpOtlGRiYAIeJ8AC1jNnDkTixYtAnsB9+rVy/NB16hRwxzVpr3wwgu4++67PR9zNAFKAEdDS8+KgAiIgAiIgPcJSAB7K0dlACxi9xMA9wMYGWF4EsARgtJjIiAC9hJo3LixEewsfvXpp5+iTp069k6QYG8SwAlOgKYXAREQAREQAZsJSADbDDQOdxekit+iAJ4F8FAcvqyhOgJtA0S5EAERyJoABXDu3LmRM2fOrB/20RMSwD5KlkIVAREQAREQgQgISABHAMmFR84BsBBAaQCvAmgP4D8b5pUAtgGiXMRG4L///gtUO5zYKHh31L///ou//voLZ555pneD9EBkEsAeSIJCEAEREAEREAEbCUgA2wgzRldnAWDTT5Z+nQqgFYBjMfpKO0wC2CaQchMdAbbGeeCBB1C3bl288cYbEsLR4XP06S+++ALjxo3DjBkzcOutt2L48OGOzud35xLAfs+g4hcBERABERCBEwlIACf2jeBZwRls0QlgVmrF58M2hiQBbCNMuYqcANvsfPfdd2bA7NmzjRCWZU6AjNiz9+qrr0abNm1w7rnnOoJs7Nix6Ny5s/FdsmRJrF+/3pF5guJUAjgomdQ6REAEREAEROA4AQngxL0J2QGwYeYNqcef6wP4y+ZwJIBtBip3kRFgL1v2tKW9+eabaN26dWQDk/Qp9vvNly8feGyctmbNGpQpw5p49tvmzZtRrFixkOMNGzbg4osvjmkixnnKKaegePHitvUrjikQBwdJADsIV65FQAREQAREIAEEJIATAD11Sjb7HJH652kA9mUQSncAu2IMUwI4RnBBGPbcc89h/vz5ePjhh8EdWTetadOm+OCDD8yUQ4cORY8ePdyc3ndzzZo1C/Xr8zswIH/+/Ni5cyeyZcvm2DrKlSuH77//3vgfMWJEqPdwtBM2adIEH37IduXA6NGj0aVLl2hdeP55CWDPp0gBioAIiIAIiEBUBCSAo8Jl68OPA3gsAo8XAvg5gufSe0QCOEZwfh/266+/4qqrrgL/zd3YZcuWubokHrHlUVtat27djMiSZUygX79+ePLJJ80DjRo1ColKp5ixvzC/mKDx6DWPqcdiqeLQDH3vvfdw4403xuLG02MkgD2dHgUnAiIgAiIgAlETkACOGpmvBkgA+ypd9gX7008/oVKlSti9e7dxeuDAAXO/1C0bOHAg+vbta6Zr0aIF3n2Xp/1lGRGoXbs25s1jLTxg0KBB6N27t6OwFixYgBo1apg5TjvtNPzxxx9RV4PmcW22Pfrnn3+Mn2+++cb1kwaOQkp1LgHsBmXNIQIiIAIiIALuEZAAdo91ImaSAE4EdQ/MeezYMeTNmxcHDx400SxZsgRVqlRxJbJvv/0WFMBTpkwx81WrVg2LFy92ZW4/TnLkyBFz/9fKFcVp9erVHV3K0aNHUbBgQezZs8fM8/7774PH1tPajh07zHO855vWtm3bhvPPPz/0a/riOxc0kwAOWka1HhEQAREQgWQnIAEc7DdAAjjY+c10dVdeeSW+/PJL88wLL7yAu+++2xUaXbt2xZgxY0JzFS1aFL/88osrc/txkq+//trs1tNOPfVUsCBWrly5HF/KzTffjHfeecfM06FDB7z00kuhOXk/mPd5P//8c3OU/rPPPjOxhRvbKVlCvUCBAti1K9ZSBY4vNa4JJIDjwqfBIiACIiACIuA5AhLAnkuJrQFJANuK01/Owu/hdurUKXQn1+lVhBfA4lw5cuTAoUOHHC3q5PSanPQ/cuRI3H///WaKqlWrhr60cHJO+n799ddxxx13mGm4k8v74tzp7d+/v7mPzFMElk2bNg3NmjU7IaTw8ZUrV8ZXX33ldMgJ8S8BnBDsmlQEREAEREAEHCMgAewYWk84lgD2RBrcDYJHUdetW2eOHT/00EOuC6vLL78cPAYdbr///jsKFy7sLgifzNa+fXu88sorJtoHHngAzz77rCuRs9I0c2K1XmLf5vLlyyNckFuBNG/ePHSk3frdY489hieeeML8yN3kSZMmuRK325NIALtNXPOJgAiIgAiIgLMEJICd5Zto7xLAic5AAuafPn36Sbt1LFa0b98+ZM/O9tPOGu+Mpj0Oy57AFMaykwlcf/31mDlzpvmA4vO+++5zDRN3nK2dW6v4Fu8HX3HFFdiyZUuoiBoLZfFLDN5Vtuy2227DxIkTzY9stcV730E0CeAgZlVrEgEREAERSGYCEsDBzr4EcLDzm+7qeHyVbXXS2tq1a1G6dGlHifz999+mMnBaY0/gxo0bOzq3X51z13XlypUmfFbLZtVst2zcuHH44Ycf0LBhQ3PX17rnyyri/CKjRIkSpicx7cUXX0THjh1DofF5q7jZyy+/jDvvvNOtsF2dRwLYVdyaTAREQAREQAQcJyAB7DjihE4gAZxQ/ImZnALKqsAcHgGPqPKoqpO2YcMGlCxZMjQF/1ysWDH06dMHtWrVcnJq3/p+8MEHwS8nfvvtN1CQWgWxvLAg9nAeNWqUCYUFr1ih2rJzzz0X27dvNz+ySFbNmjW9ELLtMUgA245UDkVABERABEQgoQQkgBOK3/HJJYAdR+y9CSg6KURpPLp6+PBh8+devXph8ODBjgbMXrbsaUtjYSUeo5X5l8CyZcvAAleWbdq0CcWLFzctm84888zQ7zdv3owiRYr4d6GZRC4BHMi0alEiIAIiIAJJTEACONjJlwAOdn5PWh2FyVlnnRUqbHTXXXdh/Pjx5rl69eqF7po6heW1115D27ZtjXs3Kxo7tZ5k98sCWWXKlMH69esNigEDBuCRRx4Bexfz7vDGjRvB49I8cu/G/fJE5EMCOBHUNacIiIAIiIAIOEdAAtg5tl7wLAHshSy4GMPSpUtRpUoVMyPv4r733nto0KABChUqhLp164aKFjkVUvj941atWoX6zDo1n/w6T4Ci99FHHzUTXXPNNaY3cDKZBHAyZVtrFQEREAERSAYCEsDBzrIEcLDze9LqeIfUKlTEo6vz588H2yLxviZ7vDptnJsx0NiCadiwYU5PKf8OE/j555+NAG7Tpo053s6+zslkEsDJlG2tVQREQAREIBkIOP834mSg6N01SgB7NzeORNa1a1eMGTPG+ObxZ0uMOjJZOk7DW/o888wzpvLz1q1bTbGkm266ya0wfDMP+yV///33+N///mcqLvN+rcxbBCSAvZUPRSMCIiACIiAC8RKQAI6XoLfHSwB7Oz+2R1ejRo1Qpd7Ro0ejS5cuts+RmUNWMmahpF9//dW00bEKYnHMX3/9hVy5crkaj9cn484qjxjTbr/9dvAOtcxbBCSAvZUPRSMCIiACIiAC8RKQAI6XoLfHSwB7Oz+2RseCRfnz5zdHnmm8q8k7m4kyFkrKmTNnqCAXK1NffPHFiQrHk/Nyl549dGluVOm2C0L9+vWNq4suusgcdefudVBNAjiomdW6REAEREAEkpWABHCwMy8BHOz8nrA6tqJhz13Ldu/ejXz58pkfDx06hDVr1uDHH39Ey5YtXaNy3nnn4ffffzfz8T4yd6hl/0eABcpmzJhhfjFixAiw767X7YcffkCpUqVCYa5atQply5b1etgxxycBHDM6DRQBERABERABTxKQAPZkWmwLSgLYNpTed3T06FHTrmblypWmNQ3b1dBYxOiSSy4BP2chrP379+OMM85wZUEVK1bE8uXLzVxvvvkmWrdu7cq8fpnksssuw3fffWfCnTx5sqtfTkTL6JdffsEtt9yCL7/88oShBw4ccO19ijZmO56XALaDonyIgAiIgAiIgHcISAB7JxdORCIB7ARVn/k8duwY8ubNC/YIplHAsEevG9a0aVN88MEHZqqhQ4eiR48ebkzrmzkKFy6MHTt2mHgXLlyIq6++2rOxHz58GNzR58kCy1hdnPe+g2wSwEHOrtYmAiIgAiKQjAQkgIOddQngYOc34tVdeeWVoZ27sWPHolOnThGPjfRBFnBiH+AiRYrguuuuQ58+fdC5c2dwPhqP9/KYr+w4gbR3pDdu3Gju1HrZ7rnnHrzwwguhEPleLVq0yMshxx2bBHDcCOVABERABERABDxFQALYU+mwPRgJ4BiQcseUVYx5VLhcuXIxePDekHAhevfdd58gYuyKtl+/fkYA02699VZMnDgRAwcORN++fc3vWrRogXfffdeu6XzvZ8uWLebLAsv8UCV78eLFuOqqq0Ix16pVC/PmzfN9LjJbgARwoNOrxYmACIiACCQhAQngYCddAjjK/PK4LotE8bgn72d+8803UXpIzOOsAE3jHd/07KWXXgKFL61KlSpYsmSJ7YG2a9cOEyZMMH579+6NQYMGmZ/5e1q1atVAASU7TmDZsmWoXLmy+fPZZ5+NP//80/No+J5ly5YtFOe9994b6jvt+eBjDFACOEZwGiYCIiACIiACHiUgAezRxNgUlgRwlCCXLl1qBCLtrLPOwt69ezMUlVG6dvRxCvU6derg0ksvNaKK923DLXxd7MXL3e3s2bPbGhPnnzt3rvH53HPPmePPn376qTkOTStatChYSEl2nMD06dPRrFkz8+cyZcqYKt1+sPHjx6NDhw7IkSOH+YIoKKckMmIvAeyHt1IxioAIiIAIiEDkBCSAI2flxyclgKPMGgv8FChQIDSKLXxYqMjrFr7Tevnll4cqL1tx83gtBf2///5rfrV27VqULl3a1mWVLFkS7PVL+/DDD9GoUSMj6iggaBRMbMcUvoNoawA+c8a7tLxTS6tduzbmzJnjixVwF5itj1hYLbztli+CjyFICeAYoGmICIiACIiACHiYgASwh5NjQ2gSwDFApAC2Kt16vTKvtbwHHnggVGCqbdu2ePXVV09aeUpKihG+tEmTJuHmm2+OgU76QyiKcufOjX/++cc8wNY+5cuXNzvoPN5rmV++ULANTCaOwu9Mt2nTBm+88YYb02qOKAlIAEcJTI+LgAiIgAiIgMcJSAB7PEFxhicBHAVAit1hw4aF2vZwKIUkBaXXjTuIVjGiZ599FhTEaY2Fqd566y3z6169emHw4MG2LWvXrl0oWLBgyN8ff/yB/Pnzg8KY1aHZPuf8889HqVKlcOqpp9o2rx2OmPcZM2aY1lD8p1ChQna4zdIH++ey2BrbCPFLAu7cy7xHQALYezlRRCIgAiIgAiIQDwEJ4HjoeX+sBHAUOaL4Tdun9uGHHzaVjL1sFJkUnxSdNB6lpSBOa08//TR69uxpfl2vXj3MnDnTtmV9++23IQHHnWCKu4wKctk2qU2OyIRsaDfddBNefvlls5vtl/htwiA3GRCQANarIQIiIAIiIALBIiABHKx8pl2NBHAU+Q2vYmwNa9WqFd55550ovLj/KHcQ//e//4Um3rFjxwm7sdYH4QWp+PzWrVttC5bVs5s2bWr8cZd33bp1tvl22tE111wD7gJbdtppp4GCnkfGZSIgAax3QAREQAREQASCRUACOFj5lACOI5+VKlXC119/fYIHP7RCmjVrFurXr2/i5lHjbdu2pUuBbXamTp2KChUqmMJUp59+ehy0ThzKqs9dunQxv2Q1aIptP9iRI0dMMae///77hHCHDx+O+++/3w9LUIwOE5AAdhiw3IuACIiACIiAywQkgF0G7vJ02gGOEDirI7NKMqslh9uZZ56Jffv2efo4rJNHmyPEZ+4UW62X7rzzTnOM2A/GNj5XXHHFSaE2aNAAH3/8sR+WoBgdJiAB7DBguRcBERABERABlwlIALsM3OXpJIAjBL5p0yZcdNFF6T7t9crFt912GyZOnGhi5x3mtD2AI0QQ12Ocn31tWdSJ92jDi3B99tlnYGEuHrlm6yWrEFdcE9o0+Pnnn8e99957kjfeAWYl8Jw5c9o004luuEvPKtncsedx9I8++si0iZJ5j4AEsPdyoohEQAREQAREIB4CEsDx0PP+WAngCHPEvrVNmjQxTxcvXtzs+vqlFdKll15q+rLSKERZ7dlLxmPXN954owmpbNmyoVi9EOPtt98eaj9099134/XXXw8dh2ZV7Vq1ajkSJo/a88g9jUew9+zZ48g8cho/AQng+BnKgwiIgAiIgAh4iYAEsJeyYX8sEsARMmVLoD59+pinGzZsaKooc/fvkksuQeXKlY1I8aIdPnwYZ5xxBo4ePWrCW7lyJcqVKxdRqGxddM4550T0bDwPffXVV6a9EC1fvnyhLxbi8WnX2JIlS2LDhg3GHXem2YuXLZFovXv3xqBBg9Kditzvu+8+bN68GSNHjjTvSTQWXjSMu+JWf+ZofOhZdwhIALvDWbOIgAiIgAiIgFsEJIDdIp2YeSSAI+Tepk0bvPnmm+Zpu3vkRhhCTI8dPHgQLEBF4bt69WpQbLKKcUbGQlitW7fGd999h+3bt5udbt5zdtK2bNmCIkWKhKbgPetcuXI5OWVEvtk2KvwLgJ9++skc47aOb7Mv7/Lly9P1RWHMFlm05s2bY8qUKRHNaT304osvolOnTubHa6+9FnPnzo1qvB52j4AEsHusNZMIiIAIiIAIuEFAAtgNyombQwI4Qvas9kxRSOMxWN6rDaKx2BcFr1X1mO1+WBXaSePuNEU5+xXTuON68cUXOzllRL4/+eQTs9tPK1SoEHjXmzuxFDyWpddS6tChQydV0OYas2fPHtG8fOixxx7DE088YZ7nkXXrDnfEDvSgawQkgF1DrYlEQAREQAREwBUCEsCuYE7YJBLAEaA/duyYOUZMYUPjrh93/4JqPHK7fv16szzueFp3n2Nd7y+//GKKOHGXl4XEeM83rbHYEwUmbf78+ahRo0as09k2rl+/fnjyySeNv8aNG4PHkinSL7jgglArKR6LvuWWW06aM7ynMj+M9ouEjh07Yty4ccZvogqX2QYy4I4kgAOeYC1PBERABEQg6QhIAAc75RLAEeSXxa7uuOMOfP/996aK8f79+z1xRDeC0GN6pF69epg9e7YZO2rUKHTt2jUmP9agd999F61atTI/siDXihUrTvJXsWLF0HFiHjXnMexEG48x8ygyBfzAgQNDR5rbtWuHCRMmmPDatm2LV199Nd1QeTd82bJl5jPeA+ad4EitUaNGoTZLrJAdXjU7Uh96zh0CEsDucNYsIiACIiACIuAWAQlgt0gnZp6kEcDcuTtw4IDp5RuP8X4qW+DwSCvvePK47o8//og5c+agcOHC8bi2fSyP63I395RTovvPuEOHDhg/fryJp3v37mAf4XiMAu6hhx4yLnikmLvBaa1p06Zmh5XGNk3c9fSK/fbbb6YFUcGCBU1IkyZNCgl0tijiHeb0GHMNw4YNM2OivQfM3sPsQUx7++23TesomTcJSAB7My+KSgREQAREQARiJRDd35xjnUXjEkUgKQTwP//8g+rVq5s7vNyJ69y5sy28CxQo4NlWSDt37kSxYsVM9eGePXsaARVpH1ke++XxXxp3bt955524eHH3csSIEcYHCzuNHTv2JH/MifX7bt26hZ6Pa2KHBpMtd4Gvu+4680+pUqXSFcDhrbNYTIv3hSP9MoLCmsKb9vnnn+Oaa65xaDVyGy8BCeB4CWq8CIiACIiACHiLgASwt/JhdzRJIYBZQbdOnTohdlaxpXhhsnUPqyrTXnnlFSOKvGLh91dZwOnnn3+O+Ng2i3zxyDetSpUqWLJkSVzLatGiRagKcvhR4nCn/H3fvn3Nr/g8j037zZYuXWoKXXH3lsbevfnz5w8V92IV7pSUlCyXxTvnLArGgmQ0rxQFyzLwJH1AAjhJE69li4AIiIAIBJaABHBgU2sWlhQCeNWqVebuqWUUFpHuxGWWflaCtqrzskfwU0895Ym3hUe9ixYtCrY0omUkOjMKlkWoatWqZT5mcapt27bFta7wu7AZVdDmnVrrC4Rq1aph8eLFcc3p9mB+qXLllVeaLwvq1q1rjnGzenZ49fDnn38e99xzT5ahceeXO8CWMZ8swibzJgEJYG/mRVGJgAiIgAiIQKwEJIBjJeePcUkhgHft2hW6v8m0sKhVvnz5IsrQkSNHTJEj/iWX/5x99tmhcf3798fjjz9ufm7ZsiUmT54ckU+nH+JxY6toElsabd68OeL1Mjb2uy1RokQoTB4hz5kzZ8xhR1LhecGCBbj33ntx/vnnG+E4ePDgmOezY+Brr71mjo+z2vfpp5+epcvwLw34MHeDK1WqBB7nZiEx2s0332zuD2dlFMDcwee/9+7di4ULF2Y1RJ8nkIAEcALha2oREAEREAERcICABLADUD3kMikEMHfnKOAoZmmRHkXls2vWrAn1feUd2oMHD5rjqTS2wGGPVhpFG1vdJNq4RopXVqumsfiUVYgp0tgOHz5sRJ91VJxFvsIFcUZ++Dx3QLmDa1laXxs3bjStkLxs3HHNmzevOYJ86qmnYt26dZnGzCPLbNu0aNEis6zatWubomi0qVOn4sYbbzTF1/jvjCpGe5mHYsucgASw3hAREAEREAERCBYBCeBg5TPtapJCAHPRPBJsiUKKE4qUSIy7ulYF3jJlyhhBbBlb3PB4L41HVNkeyY6j1ZHEldEz4fd3Kd42bdpkdlWjNY6xjj7PmzcvdCQ6Iz98lsd7WcmZVZ5Z7ZnG+cMFb7y7ydGuI5bnw3dz8+TJY46SZ8uW7SRXbBXFatlp7yuHv1/79u3DDz/8YL4gibQIWSwxa0ziCEgAJ469ZhYBERABERABJwhIADtB1Ts+Ay+Ax40bZ8QpWxaxnyvtjTfeQJs2bSLKwmOPPYYnnnjCPJv2mDOFEYscWcYjq+eee25Efp14iDuWvOvMHW4a79SyOFcsxuPI1l1i3nUuWbJkpm6uv/56zJw50zxD8cwYuIvKo83cHaWxTdTvv/8eSziujuHxa97pprF42qeffpru/OFHza0HeOyZhdES/UWIq8CSfDIJ4CR/AbR8ERABERCBwBGQAA5cSk9YUKAFMI/k8v7p9u3bT1h0NH1meWyVx1hpvO9LQRxubG/zxx9/mF9R7LHdUqKMO6+NGzcOTc/dmRr+jQAAIABJREFUau5au2GciwWfeOSZ1rFjR7z44ot48803Q182VKxYEdw197o1a9YM06dPN2GyMjXbQqVn4cfjrc/5rtxwww1eX6Lis5GABLCNMOVKBERABERABDxAQALYA0lwMIRAC2DuQpYtW/YkfCwQ9eyzz0aEtXTp0li/fr15lkdd2aIn3Hjf1WoT9PLLL+POO++MyK8TD1F8f/HFF8Z1kyZNQiLOibnS8zlgwAA8+uijoY/Yfoq7odx9p1EYWl8mpDeexbp433jr1q0mbxTUblvaL03Cj3OnjYXPpj0azfvA6R2XjmYdfM/++usv8+UNGRQsWDCa4XrWZQISwC4D13QiIAIiIAIi4DABCWCHASfYfaAFMKvvsgpvWou0Gi/vq/L4tNWPde3ataAgDrfbb7/dHKmmJbIVEtsGXXXVVaHQWJCJbXmcNlbU5s74xRdfjOLFixsBvHLlSjPthRdeiO+++w68B8v71yyslZmoDW8rldnOq5NrYr9kxm3Zzp07wV3+jIxfpvAoNI273a1bt073UYplinueEuD96MyOynOnfPny5cYPq0bzfZV5l4AEsHdzo8hEQAREQAREIBYCEsCxUPPPmEAL4KZNm5qiTDS2L9qzZ4/5M++kstBRVrZixQpTvIjGys+sAJ22kNGgQYPMPVsKwFatWoV62Wbl2+7P2bqI/X4pxqtUqeJa65xw4U3G3PVlYTDuhNLuv/9+DB8+PKLl9u7dG0OGDDHPxnN/OaLJMnjo7bffxi233GI+ZU43bNiQqTsWPhs7dqzp25vZvfLw3Xm2WOIXJxlZeAEyvqfWHep41qWxzhGQAHaOrTyLgAiIgAiIQCIISAAngrp7cwZWAB89ehQFChQwu4+0Ll26YMyYMebPLOhkHWvODHV4m6Ny5cqFdjbdS0/0M/H4MItzpXf0OxpvPILL478sHLZlyxazy5leYafwqtPWHV8eeeYXAzSO4bHsSHajR48ejfvuu8+Mu+666zBr1qxoQrblWQr2kSNHGl8UtNbufrzO77rrLvCIPK19+/amenR6xi8O+GWLdeqA72lWBcjijU3j4yMgARwfP40WAREQAREQAa8RkAD2WkbsjSewAnjp0qVmJ5TGXVsexeVxUt6rLFasGBo1apQlyXAhx11BCuJksbQVrllIrFChQictv1+/fqEiURYjHh3nUWf2z6Xx2Dh7JPMIdGZm9czlMxQV33//veu4q1atau4t0/iFCath22EU0taub2Y7y6ySzXfUMn6Bwx7CMu8SkAD2bm4UmQiIgAiIgAjEQkACOBZq9o6hamBPFp7LLApgNwD2m+kHYEucUwVWAHMH0iq+dPXVV8d0JDj8CDULPD3yyCNx4vbPcN5ZZRsjHvGlsXozd3jTGkUvjw3TeP/XahmV9k4yd3e5C5+ZUXhSgNJ4nJoi3E2jcD/zzDNDx7e//vprXHHFFbaEwJ103pG2jDv1PDad1r755pvQnIzF4m9LEHLiCAEJYEewyqkIiIAIiIAIJIyABHDC0JuJKX7nAmA1o98ALATAv0VXBrATQDUAG+MIMbACuG7dupgzZ45Bw9ZFLNQUrYVXgJ42bRrYHsdLxh1WrvGee+5B9uzZbQ+Nx6itnsJTpkxB8+bNT5qDfW8pFGk8Ds1CVpbxHu+ECROMqOQRaPYJzqw/Lo9aFylSJDSed65z585t+7oycvj333+jf//+5h4yd6u5+3rqqafaNj8FsNWLOqPiVh9//HHodEKkR/VtC1COYiIgARwTNg0SAREQAREQAc8SkABObGqe4MYagC95LRLAgdRwHgTwDFvPsqZTHCEGUgBzJy9fvnzgv2mx9uc9cuSIqdxLEchCRBm1o2GlYIpRFky69NJL090pjSNH6Q7lDm2dOnUwb948c9yYPXcpRu00Viv+5JNPjEu2jWLF43BjDOS8d+9e82vu+rItlGUUsOTGisZWX+DM4uO97Zw5c4buv5Injwu7bePGjTMnBijo7bQ77rgj5LNTp06meFZa49xkRYu0WJudMcpX9AQkgKNnphEiIAIiIAIi4GUCEsCJyw63nnbwNCiAywF8myaUFQAuBcBzqcd7pkRvgRTAn332Ga699lpDgzuIPErLwkJOWXgrJFYytgpAOTUf/YZXK+bPTuxQc2f5hRdeMMtIr5rzrl27TvhSIL2WQYcOHTJ9fdlaKLPdX4sVjwX/9hsPO8BU6k5UBWQWoYq3n2/a/LMIFoth0VJSUkK76+HP8Qg5TyzQku3euZP/vTjpWwLYSbryLQIiIAIiIALuE5AAdp+5NWMtAPNSjzintw3GnWHuEPcHEP353uOzBFIAc9eSPXnZj7ZevXrm6C3tvffeMxWJKbBatmyJFi1a2JLdcNFCn++++64tfjNywqO5PJ5tCcUGDRqYis2RCMxoAgu/R83jzzwGHW5LliwJ7fjyvjC/aIg3hvAj1Zn11Y1mHZk9y11q9np2w3ia4JJLLglNtWPHjpNOFXBnmLv5tAcffBDPPMODHjIvE5AA9nJ2FJsIiIAIiIAIRE9AAjh6ZnaNuB8AG6hSTbVKx2lDAB8BeB/ADTFO6poAZnuXGTNmmOJGLErlhlFgUJSVKlXKTMf2M+zZS+vVqxcGDx5sSxi8z9m6dWvjq3z58qbitJNGYWT11uWRYR7RLlGihO1ThreBYjEo666vNVF4ZeP0Po8lIN6znj59uhk6dOhQ9OjRIxY3EY1hxWUe2e7cuTO6d+8et3jPalIeGWePX+uLi/TuVYcXXhs2bBgeeuihrNzq8wQTkABOcAI0vQiIgAiIgAjYTEAC2GagUbh7FgAvXVIE885vWisPgErrGwCxlqp1TQCzpUzXrl3NGli4qXbt2lGgsOfRvn37YuDAgcYZjy2/9tprGTpmH9xICzBRGFr3b7mbyMq98e6EZhTYqlWrzJ1ffqFAY3Ev68isPZT+zwt3y6tXr25+wfvP/EIh3DivVfX55ptvNm2m4jX2AWbFaBqPYD///PPxukx3PHd+a9asGRL1FMF8R53KmxVEeNVsrtXqOWx97vYOuCNwk8ypBHCSJVzLFQEREAERCDwBCeDEpfglAB0AULH1TScMHoveAOAHAMe3ODO21Rl8VCIlJSWnVenXyaWGC4sKFSqYvrBu23PPPRdqxcMq0bNnz84wBO4a804rd1YpwjIrMLVnzx5TDMqybdu2ndDL1c51UrR9/vnnxiVjY6/crPrrxjr/5s2bTc9ky/ilQK5cuUI/9+zZ04hVFhvjlwtPPvlkrFOFxvG9+PXXX8EK1KyabPc9XE7ELw9uvPHG0E4zf8cddd5zdtp4p9qq2n3rrbee9CUMvzzhDjH/4TH3woULOx2S/MdJQAI4ToAaLgIiIAIiIAIeIyABnLiEjAPAijkDUitBp42Elwkpfj0vgHn0M62Q4e/ctqlTpxrhQ6PA4m5qekaBRKHHKtA03iUuV65cpuFyh5RFoWgUqNdcc43ty2MxqQsuuCDkl3edr7/+etvnsRyyKjPFtbXbzErX1nFy6xkWi2JcbBd07rnnOhaLnY553Dn8bi37E48aNcrx3V+ugcKWX1rw6DXbQ8n8T0AC2P851ApEQAREQAREIJyABHDi3odAHYEOPyZMpIcPH7a1x6qVJgobilveM05b3OjLL780/WhpBQoUCAnWtClmr1buPlp24MCBLAsl0S/901jt984777T9zZk1axbq169v/LJaMoWn08YdYO4EkyXnv+qqq5ye0lH/4ZWYOVHjxo1NBW0n+ig7uhA59wwBCWDPpEKBiIAIiIAIiIAtBCSAbcEYk5NAFcFiO5yzzjortKvKo648Cm2n8Y6qdWSUO5LsIxt+hPfnn3827XgsY0zptUdib13rjjJ3Na2iRZnF6kYrJIp77l7SsjrCbRdXMuSXBTzi7fT9WLtizsgP2yqRG3e2aSxYxnvO2ol1mnyw/UsABzu/Wp0IiIAIiEDyEZAATlzOI22DxFZIxxuHRm+uFcFiaJdffnno7u/48eNNVWY7bfLkybjpppuMy/POO8/skIaLNt5VDb/Dyp3eokWLnhTCuHHj0LFjR/N77nhSJGVlvP/ar18/85hTrZC4q/zqq6+aOR544AE8+ywPCQTXeLyaxar4xUm8xhZEVapUwe7du40rfrGxdOlSFClSJF7XcY/nFzMLFy5EmzZtfP8lQ9wwfOhAAtiHSVPIIiACIiACIpAJAQngxL0epwFg2d281I4A0laNWgHgUgCVASyLMUxXBXCHDh1A4UtzosJvuH+KCbbpSWv58+c3rZFo7GNLUZTWevfujSFDhphfZ1Ut2hr79ttvgxV+aU61QqIQ5z8sWkaRzZY5iTK2EOIXChSQdh8fZjVpivs1a9aA1aV5bDkeY75553b9+vXGDe8185525cr8TydxxnvwrETOatAsMMYvhNhDmsfbedSdbZBk3icgAez9HClCERABERABEYiGgARwNLTsf5YFsB4BsBjAdQAOpk7BtkjPAODW5PE+NbGZ4wKYIok7bdz9nThxohG+NIqPr776Krao0xlFMcHjzqwgTKOwoHhNa6l/WTW/5t1P9p1Nay1btsR7771nft2/f//Qzm5mwS5fvhwVK1Y0j/DIMCtI+/3IcGbrtVog8Qj5vffea+tuNL8k4ZcZNH5BwS8q4rG77rrrBBHNLyuskwLx+I13LEUv30fuAKc1u9pKxRujxmdNQAI4a0Z6QgREQAREQAT8REACOLHZOh3AfOoAFpAFsBAA+9Lw5z8AVAXwYxwhOi6AFy1aZApSsQo0BaFVUThnzpymXy7v6tpha9euRUpKSsgV7+2mV5W4Tp06mDt3rnmO7Y0sQR4eQ/hRbYp2tqvJyihmPvjgA7P7e8kllyBHjhxZDfHV5yxaxl1f68g4mbz11ltmDXa1QLKAhBcr4/3cffv2xfVlwh9//IHmzZtjwYIFpmcyeyd7xXj0uUaNGkhbFf3BBx88oVK1V+JVHCcTkADWWyECIiACIiACwSIgAZz4fLLxah8ArQHwwiLP785MbY10fLszdnNcAI8YMcLcV6Vx1/ebb74JFSH67rvvjGC0w8LnyewI8m233YYpU6aYO8I86mztNFoxUIicffbZRnTRKMaqVuX3DMlpP/30E6pXr24KgVHUc0efX2Ywl8uWHT95P2HCBNxxxx22ASL7vHl58v+4cYc0vJhZZhMxf2zXVKZMmRMeo4BnnMy313bm+/Tpg8GDB58Q79NPPx0qeGYbWDlyhIAEsCNY5VQEREAEREAEEkZAAjhh6F2ZOGYBzEq6vI86e/ZssABURvdAW7duDd7ppD300EPYs2ePKWp0xRVXoEGDBuCdXDuM/XBnzuT3AkDPnj1Dd3jT+rbaL2UkgtjLlz19LWNl6fCf7YjVTz7SilEWFuMd1fC71Nzlt9pL2bU27jRbx9k//vhj865kZMzphx9+CPZFnjFjhhHrHBveM9muuJzww/h51JtfCFn25ptvgv/tyLxPQALY+zlShCIgAiIgAiIQDQEJ4Gho+e/ZmAQw2wdxR2779u1mxZkJoIsvvhgbN240z73zzjto1aqV7ZS4K0lB9vfffxvfPOJ87bXXxjQP7yVbO74U6nv37vXEjiHvIpMjexw3atTohOPeMS00ikFsgcQvLmjcEecR73POOSfkge9BoUKFovCY9aPhX2gMHToUPXr0SHcQd3xr1qxpjjeH20svvXTS7n7WsybuCRY245dC/G/L4pzMJw8Sl4noZ5YAjp6ZRoiACIiACIiAlwlIAHs5O/HHFpMA5rTsk8t+ubSMdlx59zJcKG3atAnFixePP+o0Hj799FNcdx1rhAG5c+c2rW54xzgW27x5s7nbSrHJXWIKqWiNoox+Ij22G4l/FthioS0aWyG1bds2kmG2PMN+zStWsOj48S8xuC5LnOXJk8eIY7uPFbPfMfse0zKrxJ327jefZywUzFYlb1sguOCER/N79epl7swzx3YzdWEJSTmFBHBSpl2LFgEREAERCDABCeAAJxdAzAJ49OjRpn0LrWTJkqEWM+G4Zs2aZdq50HiMmDuFTvylPlwsNWzYEB999FFCsnbgwAFw53LlypXmDjErQYd/ARBrUOyHy2JQ1g43q2pXqlQpVndRj2vSpIk5Ykzj3VQWF+NdahoLhlnCPGrHmQzgfd127dqZJ7gz+vXXX6f79NixY9G5c2fzGY9NDxo0yHwZYgd3O9cjX8ElIAEc3NxqZSIgAiIgAslJQAI42HmPWQD/8ssvJ+zmcieudOnSJ9Di3eB+/fqZ3/EOJ+9yOmGchzu1W7ZswahRo9C1a9dMp7EqGvOuKHdW7epjy51fCn3ufNPmzJljdsrjNe5G8yi5ZayeTUHslpHnmDFjzHRdunQxbZ54JJvGdkJsK2S3scCW1aeXu/pcM4tvpTUeqWfvXNr999+P4cOH2x2K/IlApgQkgPWCiIAIiIAIiECwCEgAByufaVcTswCmo/B2Qdx5Y1XlcGvcuHFoN5atZ9iChsbCWTy2zJ3Du+++25aerBSfFOEUoJkVreIuLe/2WpZRu6RY0x5+NJxHeNnOJl5je6WmTZsaNxdeeCFYmdlN464vj7nTuBtMfizSRHvkkUcwYADbVdtrafPELwEuuuiiEyZhzgsXLmx22mnvv/9+iJO90cibCGRMQAJYb4cIiIAIiIAIBIuABHCw8pl2NXEJYO4CWj1VeSeUBZIsozhhqyGrUBYr9PJ4MK19+/Z45ZVXzJ+5o8jj1G4ad08PHjxopmRbpssuu8y26Vnp+tlnnzX+Mru7Gs2E/HLh4YcfNkNYAMs6jhyNj3ie5b3fm2++2bjgfeDTTjsNPIZNc/I+MsU+WyDRpk+fbsR3uLFwFIuC0Xi0njvvLNglEwE3CUgAu0lbc4mACIiACIiA8wQkgJ1nnMgZ4hLALIxEQWTZtm3bjOilpS0CFX4f9vnnn8e9995rnqtWrRoWL17sKgPeWd6wYYOZM7zFzl9//WXuk5YoUcLsNrZs2dKIvWjs9ddfD/XEvfTSS0PFo6LxkfbZNm3ahHZcWSQpbc/YeHxHMnbJkiUmTzQKTIpNFhqjsRXWVVddFYmbqJ/hiQIW2KLAoPCnIA635557znyBQuOXGPwyQyYCbhOQAHabuOYTAREQAREQAWcJSAA7yzfR3uMSwNzlpSjhfWDaiy++iI4dO5o/s6JtixYtzJ/THtsNbzWUK1cuUzAqR44crrGoUaNGqG3O+PHjzY407fvvv0e5cuXMn0899VRTdCra+8HhXwrQB4/yRiui04KguLN6xFJgWwWo3ALGLzbOP//80HTM7e+//44ff/zRHIHmneBEGN8vxkJ74IEHQjvviYhFcyYvAQng5M29Vi4CIiACIhBMAhLAwcyrtaq4BDCdsPDQyJEjjT8eceZRZxorF3OXlUdljx49Gqroy88oLHmP9NixY+ZZVk22hGc0uNesWYNp06ahXr165j5yekWS0vPH47w81ktjAa2+ffuaP/OYbbNmzcyfM6psnVV8LLDFI9ZHjhwxj1K4li9fPqthGX5ORmeccUaoPyzvTXOtbhpzefrpp4fWxKPHKSkpboaQ7lzMISt+f/bZZ2A1aN45l4mA2wQkgN0mrvlEQAREQAREwFkCEsDO8k2097gFMMXHtddea9bBnc5du3adUGQqowVSFFL40mK9Rzpw4MCQeI2myjR3C0eMGGHm5pFnHqWl8e4u7/DSwsV8tEkK75vLdj533HFHtC5Cz//www8oVaqU+ZlHj7mjzKrIbhu5cF62Grrhhhs81WaIJxH4T6RfgLjNTvMFm4AEcLDzq9WJgAiIgAgkHwEJ4GDnPG4BzN3dQoUKGfHBHTiK0v/9739ZUrvzzjuN8KXFWgjrmmuuwcKFC42PJ554Ao8++miW8/KBoUOHgndpaRRzU6dONX/mvWTeT44nJo6l4OVRZVq8R3O5w928eXPji62QrLvLES1UD4mACDhOQALYccSaQAREQAREQARcJSAB7Cpu1yeLWwAzYu5SsmhUNPd4wwsYxVIIi/eGefeUApzGe8VW39isKL7xxhumQjMtvHp1/fr1MWvWLPN79pPl8e5YjGOt9kfcHZ87d24sbsyYGTNmgFWgeey4evXqptVPMtnMmTNNkTSun7v1dvRVTiZ+WqvzBCSAnWesGURABERABETATQISwG7Sdn8uWwRw2rD3799v7q1mdiQ1vLJwLIWwKAS5e0vLnz8/duzYEXHBqjlz5qBu3bpmbLFixUKtdi655BJT2ImWXtudSNMzb968kFBjbDwWzuPL8RiP+PLudCKOP4fHzQJcbCFFVtzFt45nx7O2zMYyx5boD7+v7dR88isC0RKQAI6WmJ4XAREQAREQAW8TiO9v7d5em6IDHBHA3KmbOHEiKlWqZI4VW0d4w4GnLYS1atWqUE/XSBJzzz334IUXXjCP3nTTTXj77bcjGWaeCe8fy3vL//zzjynIRSFu7SizIjT/YhuLsUUQd495F5h3nWvVqhWY+6nnnHOO6bdLW7BggdmVdtJYoIzH6sPzzPx1794dNWvWNPfP+Z7JRCBRBCSAE0Ve84qACIiACIiAMwQkgJ3h6hWvjgjgihUrgtWKaeGtkdIumn1yKXxp0RSL4m4oe/Vu2rTJjH3llVdOqDKdFVwK1PDWPRR0e/fuNce4LWNPYApi2XEC27dvx6hRo/DUU0+FkPz2228499xzHUU0adIktG7d2sxRtmxZ874wjm7dupnf8V1btmyZozHIuQhkRkACWO+HCIiACIiACASLgARwsPKZdjW2CmDeBWZrmn79+oXm+fbbb81OaHrG/rssYnXFFVegQ4cOoWrSWSFnISi2KbJsy5YtJ/SpzWo8BXT//v2NeDvvvPNw3XXXYdGiRaFj0SzitXXr1qzcJNXn4dWouXC2ReKXBPEe7c4KIgUvvyihsa8yj1+3atUqdCyaO8FPP/10Vm70uQg4RkAC2DG0ciwCIiACIiACCSEgAZwQ7K5NapsA5j1XVoOmuLSMO6jcWaVwSc/YXzaW1jVjxoxB165djUtrVzBeYtyp7tSpk3HDY7083pto4zFs/sM1UvDzuHaiLO39Y95tto5COxnToUOHzH1yq2c0BTGrf//5559m2o8//hhsgSUTgUQRkABOFHnNKwIiIAIiIALOEJAAdoarV7zaJoC5oKuuuspU7LWMP3/xxRe2r5Xtlj766CPjl/1phw0bFvccFNUsssRiWm3btg21aIrbcRwOuEv9+OOPGw8tWrTAu+++G4e3+IeG7/Zy95xHoN2wMmXKYN26dWaqRx55JHQnmF+eUAjnyZPHjTA0hwikS0ACWC+GCIiACIiACASLgARwsPKZdjW2CmAeRe3Zs2dojnh74KaHnjuB3H1kGyQa2+TUq1fPtiyxgjWLYhUsWDAun9wxHTlyJL777jusXLnS3FPlTmY01rJlS7z33ntmCI+VUxAn0sIFMO9gWxWznY6J4n/KlClmmrx585pTBTQWv1q6dKnT08u/CGRKQAJYL4gIiIAIiIAIBIuABHCw8umoAE57TzTa4lSRoN65cyfYioc7zbyDumfPHpx55pmRDHX1GQp1ijXeWaV9+eWXpudwNJaSkoK1a9eaIbxbzbuviTRW9x47dqwJ4YMPPgB34t0w7oKnJ/75ZcuQIUPcCEFziECGBCSA9XKIgAiIgAiIQLAISAAHK5+OCmA6r1atGtjjl/1qN27cmGWVYO7ksmI0/+Ed4ttvvz0i4mxXRMFNkRiLsegVWyfxGC/v2FpHjWPxldEYiwU/Z8umu+++O2L3hw8fNjvGdrRlinjSLB5kJehBgwbhggsuMEfPnS6AZYXDo9/pif9PPvkE119/vV3Lkx8RiImABHBM2DRIBERABERABDxLQALYs6mxJTBbj0AzIlZkZg/gGjVqGDGclY0ePRr33Xefeaxy5cr46quvshpiy+fjx483ladpLKr0+eef2+I33AmLarG4Fo1/tnZPI5mIxa/KlStnHs2RI4fZSU5kEaxIYnbqmTVr1pzUkzl79uzm/u9ZZ53l1LTyKwIREZAAjgiTHhIBERABERAB3xCQAPZNqmIK1HYBHG0UvCN72WWXmWEsasQjzrzj67SxenCjRo3MNOwJPHfuXNNb2M7j1Nz1veeee8wc/DIgvEBYVuvjkeebb77ZPMa/YFMQJ6sdOXLE7Ibz35ZVqVLFnDSQiUCiCUgAJzoDml8EREAEREAE7CUgAWwvT695S7gAZisk9t3l8Vra5MmTweJPThv7E19++eUnTVO3bl3Mnj3blul57/fKK680vijgeNw70rZPjz76KAYMGGDG8vgvBXEy24EDB9C6dWt8+OGHBkOvXr0wePDgZEaitXuEgASwRxKhMERABERABETAJgISwDaB9KibhAtgcmFRKx6bprVv3x48npyesTcvKw+zT+/FF18c1x3U33//Heedd95J09gpNina2KLH6o3MO8uXXHJJRK9C8+bNMW3aNPMsC0CxCnSyG4+Qs/3VwoULTUsoO6t/JztbrT92AhLAsbPTSBEQAREQARHwIgEJYC9mxb6YPCGAKX4pgmkssLR58+Z0xS3787722mvmuXj7/7JKM+/Ucgc63Pr06YOnnnrKNsIlS5bEhg0bjD+KNrb0icRKlSplinzR2ArpxhtvjGRYUjxjFQbj3WiZCCSagARwojOg+UVABERABETAXgISwPby9Jo3TwhgHn8+99xzQ2xWr16dbnXniy66CJs2bTLPvfXWW7jlllvi4smj16wCHW7cfeYutF3GHWUKX1rfvn3x5JNPZumafYh5ZNoS52yFVLp06SzH6QEREAH3CUgAu89cM4qACIiACIiAkwQkgJ2km3jfnhDAxMBCWCyIRRs+fDjuv//+E+hs3brV7A5b9uuvv57wcywor7jiCnzzzTcnDP3ss8/KDfGoAAASu0lEQVRQs2bNWNylO2bgwIFG+NJYdMu6w5rZBOEVoLlLzQrQ2u20LSVyJAK2EpAAthWnnImACIiACIhAwglIACc8BY4G4BkB3Lt3bwwZMsQstn79+pgxY8YJC2fPXmvHt3jx4qGd4HjoUJCyGnS48fh1kSJF4nF7wljeWW3cuLH5Hf3SfyTGglls/0Phr+PPkRDTMyKQGAISwInhrllFQAREQAREwCkCEsBOkfWGX88IYO68XnvttYZKrly5sHv3bpx++ukhSvfeey+ef/558/Ptt98eugscD0b2AQ4vuJUzZ0789ddfEVdqjmRu9kWuUKGC+ad8+fIYOnQo2MNWJgIiEAwCEsDByKNWIQIiIAIiIAIWAQngYL8LnhHAhw4dMv1/KUBpbEXElkSWlStXLtQLd9y4cbjrrrvizgwrK4ffyeU9W963tdOsCtCnnKL/lOzkKl8i4BUCEsBeyYTiEAEREAEREAF7COhv7fZw9KoXzwhgAuKR5C+++AK1a9dGjx49ULVqVcONu8EFChQIMVy3bh1YJTleY1udzp07h9w0bNjQtNlJhLHg1fTp09GsWbO42jslInbNKQLJTEACOJmzr7WLgAiIgAgEkYAEcBCz+n9r8pQA3rFjh9kFTlvwiYWjmjRpYqIuVKgQ2MPXjh1Vis4uXbqAQph23333YeTIka5kfP369SeI+NGjR5v5ef/5lVdeSbdHsSuBaRIREIGoCEgAR4VLD4uACIiACIiA5wlIAHs+RXEF6CkBnNFKuBs8bNgw8zELQrEvrl1Wr149c9yaRvFLEeq0TZgwwRzhfuaZZ9CtWzew7RMrUvMYOM2uO85Or0P+RUAEAAlgvQUiIAIiIAIiECwCEsDBymfa1fhCAPMo9FdffWViHzFihBGNdhlbL1GAbty40ewys1iVk/byyy+H7i9zF/uNN97A008/jRUrVphpCxcujFWrVqFgwYJOhiHfIiACNhGQALYJpNyIgAiIgAiIgEcISAB7JBEOheF5AcxjytWrVzcC+NixY6ZvL3sG+9V+++03VKtWDb/88ku6S2BbpgYNGvh1eYpbBJKOgARw0qVcCxYBERABEQg4AQngYCfYkwL4xx9/xKxZs7B48WKzQ5otWzbs378fS5YsMa2S/N5GiEW8rrrqKlPcK9zY6mnMmDHBfuO0OhEIGAEJ4IAlVMsRAREQARFIegISwMF+BTwngPfu3WsqPnO3l/b111+b+7FBs0WLFqFOnTr4559/zNLYgmn58uXInTt30Jaq9YhAoAlIAAc6vVqcCIiACIhAEhKQAA520j0ngImbu6Pc/aUNHDgQDz/8cCCz8MEHH5iCV7ly5cLMmTNRvnz5QK5TixKBIBOQAA5ydrU2ERABERCBZCQgARzsrHtSAPfv3x+PP/64IV+jRg3Mnz8/sFk4fPiwOdLt92PdgU2QFiYCWRCQANYrIgIiIAIiIALBIiABHKx8pl2NJwUw7/qyUJRlmzZtQvHixYOdCa1OBETAlwQkgH2ZNgUtAiIgAiIgAhkSkAAO9svhSQHM+7/nnHMO9uzZE6Kv3rjBfhG1OhHwKwEJYL9mTnGLgAiIgAiIQPoEJICD/WZ4UgATecuWLfHee++F6D/yyCMYMGBAsLOh1YmACPiOgASw71KmgEVABERABEQgUwISwMF+QTwrgMeNG4eOHTuG6LNIVL169YKdDa1OBETAdwQkgH2XMgUsAiIgAiIgAhLASfwOeFYA//rrryhWrBj+++8/nHbaadi5cyfy5MmTxKnS0kVABLxIQALYi1lRTCIgAiIgAiIQOwHtAMfOzg8jPSuACW/48OF49dVX0a1bN7Rv394PPBWjCIhAkhGQAE6yhGu5IiACIiACgScgARzsFHtaAAcbvVYnAiIQBAISwEHIotYgAiIgAiIgAv9HQAI42G+DBHCw86vViYAIOExAAthhwHIvAiIgAiIgAi4TkAB2GbjL00kAuwxc04mACASLgARwsPKp1YiACIiACIiABHCw3wEJ4GDnV6sTARFwmIAEsMOA5V4EREAEREAEXCYgAewycJenkwB2GbimEwERCBYBCeBg5VOrEQEREAEREAEJ4GC/AxLAwc6vVicCIuAwAQlghwHLvQiIgAiIgAi4TEAC2GXgLk8nAewycE0nAiIQLAISwMHKp1YjAiIgAiIgAhLAwX4HJICDnV+tTgREwGECEsAOA5Z7ERABERABEXCZgASwy8Bdnk4C2GXgmk4ERCBYBCSAg5VPrUYEREAEREAEJICD/Q7sy5kz51klSpQI9iq1OhEQARFwiMDGjRtx6NCh/QDyODSF3IqACIiACIiACLhIQALYRdgJmOp3ALkB/BrD3JZq3hjDWA3xLwHl3b+5izVy5TxzckUA/AXg3FgBa5wIiIAIiIAIiIB3CEgAeycXXotkdWpA/89rgSkeRwko747i9aRz5dyTaVFQIiACIiACIiACThCQAHaCajB86i/FwchjtKtQ3qMl5v/nlXP/51ArEAEREAEREAERiJCABHCEoJLwMf2lOAmTDkB5T768K+fJl3OtWAREQAREQASSloAEcNKmPsuF6y/FWSIK5APKeyDTmumilPPky7lWLAIiIAIiIAJJS0ACOGlTn+XC9ZfiLBEF8gHlPZBplQBOvrRqxSIgAiIgAiIgAukRkADWe5ERAQmh5Hw3lPfky7tynnw514pFQAREQAREIGkJSAAnbeq1cBEQAREQAREQAREQAREQARFILgISwMmVb61WBERABERABERABERABERABJKWgARw0qZeCxcBERABERABERABERABERCB5CIgAZxc+dZqRUAEREAEREAEREAEREAERCBpCUgAJ23qtXAREAEREAEREAEREAEREAERSC4CEsDJlW+tVgREQAREQAREQAREQAREQASSloAEcNKmXgsXAREQAREQAREQAREQAREQgeQiIAGcXPmOZLWnA+gD4BYARQHsBjATQD8AWyJxoGc8RyA3gOsANAZQCUBxANkB/AhgCoBnARzIIOrbAXQBkALgMIAlAAYAWOy5VSqgrAjkB7AOQEEA6wGUzmSA8p4VTX0uAiIgAiIgAiLgSwISwL5Mm2NBU/zOBXAlgN8ALEwVS5UB7ARQDcBGx2aXY6cI3AVgXKrz1QDWAMiTmuezUkVRDQA70gRAYfwAgL8BzAbA96M2AP7vRksA05wKWH4dITABAIUt85eZAFbeHcEvpyIgAiIgAiIgAl4gIAHshSx4J4YnADwK4MvUHUNrV/BBAM8AWACAQknmLwIUPVUBDAewISz08wB8DOAyAJMAtA777NrUL0P+SP3iwxrHL0Hmp4riCwH86S8USRstv7iYA+AlAB0zEcDKe9K+Ilq4CIiACIiACCQHAQng5MhzJKs8NXUH8GwAlwP4Ns2gFQAuBVARwPJIHOoZXxCgoOVx5kOpu8I85kyjMG6QugM8Is1KRgK4D0D31C9GfLHQJA4yF4CVqUfYmwH4IRMBrLwn8YuipYuACIiACIhAMhCQAE6GLEe2xloA5qUecb44nSHcGeYOcX8Aj0fmUk/5gADvBx9MjfN/qUffedR5D4CcAIqkc/e7euppgM8B1PTBGpM9xMEAeqbmajOATRkIYOU92d8UrV8EREAEREAEkoCABHASJDnCJd6fekT2XQCt0hnTEMBHAN4HcEOEPvWY9wmUBbAKwBEAvA/MneAKqScAeO+7UDpLOCO1aBaPP7Owksy7BHhqgyc2XgfQPvVOf0YCWHn3bh4VmQiIgAiIgAiIgE0EJIBtAhkAN1bhG94T5Z3ftFYewHcAvgFwRQDWqyUcJ8DiWCyS9SGAJqlQ+O/pqSKYx+HTM4pfHpdnMa39gulJAtlS7/NflFrxmfe5WQE8IwGsvHsyjQpKBERABERABETATgISwHbS9LcvFsfpAGAggL7pLIXHolkIifcHS/l7qYo+lQDv+HJX/2hqeyTe86axGNabABYBuDoDWmyJdT4A69i0oHqPQDcAvL/dDgArQNMyE8DKu/dyqIhEQAREQAREQARsJiABbDNQH7uzdgLZ45X3fdPaJaniVwLYx0kOC71MqsDNB4DH31nYyrJbAUwE8AUA3vdNz7amil8JYG++D7y7zXZXPP4cfk87MwGsvHszl4pKBERABERABETARgISwDbC9LkrHYH2eQKjCP+CVPFbFADz/lCasToKGwVMjz7KI+3Xpd7nXhsWo45AezRhCksEREAEREAERMAdAhLA7nD2wywqguWHLMUf4zkAFqbeCX01tTDSf2ncRloMiZWiuYMs8x4B5pT5sY61WxGy0nOV1D7OS1N/2Si1qJny7r08KiIREAEREAEREAGbCUgA2wzUx+4ibYPEVkiP+XidyRw6qzyz1RV7OU9NrfZ9LB0g7BvLIldZtUFaAKBGMgP18NrTfqmRWaj8EoNiWXn3cEIVmgiIgAiIgAiIgD0EJIDt4RgEL6cB2AEgLwBW/v02zaK4k8SWKpUBLAvCgpNsDRSzMwDwi45ZqRWfD2fC4BMA1wN4ILWQUvijvC98X2pv2aeTjKPfl5vZEWiuTXn3e4YVvwiIgAiIgAiIQKYEJID1goQTYAGsRwAsTr0/eDD1Q7ZFeiaLokgi6V0C2QGwvzP7N/P4c30Af2URbh0AnwJg65xqqRXAOYR//iy1X/CFAHZ7d9mKLB0CWQlg5V2vjQiIgAiIgAiIQKAJSAAHOr1RL473A+en3hH8LVUsFUv9mUKoKoAfo/aqAYkmYLXDYRzTAOzLIKDuAHaFfcYWOhxLsUwxzFMCdQGwv2wrAFMSvTDNHzWBrAQwHSrvUWPVABEQAREQAREQAb8QkAD2S6bci5P3APuk9oJlKxXeBZ2Z2hrpV/fC0Ew2Eng8wnvb3NH9Oc28bQF0AcC2SUcALAHAkwJskSTzH4FIBDBXpbz7L7eKWAREQAREQAREIAICEsARQNIjIiACIiACIiACIiACIiACIiAC/icgAez/HGoFIiACIiACIiACIiACIiACIiACERCQAI4Akh4RAREQAREQAREQAREQAREQARHwPwEJYP/nUCsQAREQAREQAREQAREQAREQARGIgIAEcASQ9IgIiIAIiIAIiIAIiIAIiIAIiID/CUgA+z+HWoEIiIAIiIAIiIAIiIAIiIAIiEAEBCSAI4CkR0RABERABERABERABERABERABPxPQALY/znUCkRABERABERABERABERABERABCIgIAEcASQ9IgIiIAIiIAIiIAIiIAIiIAIi4H8CEsD+z6FWIAIiIAIiIAIiIAIiIAIiIAIiEAEBCeAIIOkRERABERABERABERABERABERAB/xP4/+3XoQ0AAADCsP+/5oVZknoMReEA/2+oAQECBAgQIECAAAECBAgEAQc4IIkQIECAAAECBAgQIECAwL+AA/y/oQYECBAgQIAAAQIECBAgEAQc4IAkQoAAAQIECBAgQIAAAQL/Ag7w/4YaECBAgAABAgQIECBAgEAQcIADkggBAgQIECBAgAABAgQI/As4wP8bakCAAAECBAgQIECAAAECQcABDkgiBAgQIECAAAECBAgQIPAv4AD/b6gBAQIECBAgQIAAAQIECAQBBzggiRAgQIAAAQIECBAgQIDAv4AD/L+hBgQIECBAgAABAgQIECAQBBzggCRCgAABAgQIECBAgAABAv8CDvD/hhoQIECAAAECBAgQIECAQBBwgAOSCAECBAgQIECAAAECBAj8CzjA/xtqQIAAAQIECBAgQIAAAQJBwAEOSCIECBAgQIAAAQIECBAg8C/gAP9vqAEBAgQIECBAgAABAgQIBAEHOCCJECBAgAABAgQIECBAgMC/gAP8v6EGBAgQIECAAAECBAgQIBAEHOCAJEKAAAECBAgQIECAAAEC/wIO8P+GGhAgQIAAAQIECBAgQIBAEHCAA5IIAQIECBAgQIAAAQIECPwLOMD/G2pAgAABAgQIECBAgAABAkHAAQ5IIgQIECBAgAABAgQIECDwL+AA/2+oAQECBAgQIECAAAECBAgEAQc4IIkQIECAAAECBAgQIECAwL+AA/y/oQYECBAgQIAAAQIECBAgEAQc4IAkQoAAAQIECBAgQIAAAQL/Ag7w/4YaECBAgAABAgQIECBAgEAQcIADkggBAgQIECBAgAABAgQI/As4wP8bakCAAAECBAgQIECAAAECQcABDkgiBAgQIECAAAECBAgQIPAv4AD/b6gBAQIECBAgQIAAAQIECAQBBzggiRAgQIAAAQIECBAgQIDAv4AD/L+hBgQIECBAgAABAgQIECAQBBzggCRCgAABAgQIECBAgAABAv8CDvD/hhoQIECAAAECBAgQIECAQBBwgAOSCAECBAgQIECAAAECBAj8CwzhDz1FIfJOIQAAAABJRU5ErkJggg==\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "因为创建一个带有多个subplot的figure是很常见的操作，所以matplotlib添加了一个方法，plt.subplots，来简化这个过程。这个方法会创建一个新的figure，并返回一个numpy数组，其中包含创建的subplot对象："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "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, fig.canvas.height);\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 overriden (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",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\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": {
      "text/html": [
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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "f, axes = plt.subplots(2, 3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[<matplotlib.axes._subplots.AxesSubplot object at 0x0000020253447E48>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x000002025349A550>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x00000202534C6470>],\n",
       "       [<matplotlib.axes._subplots.AxesSubplot object at 0x00000202535084E0>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x0000020253542588>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x000002025357A550>]],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "axes"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "这个操作是很有用的。axes能用一个二位数据来索引，例如，axes[0, 1]。我们可以使用sharex和sharey来指定不同subplot有相同的x-或y-axis（其实就是令坐标轴的范围相同），这能让我们在同一范围内进行数据之间的比较。不然的话，matplotlib会自动绘图的范围不一定是一样的。\n",
    "\n",
    "### Adjusting the spacing around subplots（调整subplot直接的间隔）\n",
    "\n",
    "默认情况下，matplotlib会在subplot之间留下一定间隔的边距，这取决于绘图的高度和跨度。所以如果我们调整绘图的大小，它会自动调整。我们可以用Figure对象下的subplots_adjust方法来更改间隔，当然，也可以用第一层级的函数：\n",
    "\n",
    "    subplots_adjust(left=None, bottom=None, right=None, top=None, wspace=None, hspace=None)\n",
    "    \n",
    "wspace和hspace控制figure宽度和长度的百分比，可以用来控制subplot之间的间隔。这里有一个例子，我们让间隔为0："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "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, fig.canvas.height);\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 overriden (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",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\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>"
      ]
     },
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     "output_type": "display_data"
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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axes = plt.subplots(2, 2, sharex=True, sharey=True)\n",
    "for i in range(2):\n",
    "    for j in range(2):\n",
    "        axes[i, j].hist(np.random.randn(500), bins=50, color='k', alpha=0.5)\n",
    "plt.subplots_adjust(wspace=0, hspace=0)  "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "我们注意到轴上有些标签重叠了。matplotlib不会检查标签是否重叠，所以我们需要直接规定明确的tick location（记号位置）和tick labels（记号标签），这部分会在之后介绍。\n",
    "\n",
    "# 2 Colors, Markers, and Line Styles（颜色，标记物，线样式）\n",
    "\n",
    "matplotlib的plot主函数能接受x和y坐标，在可选项中，字符串能指定颜色和线样式。例如，画出x和y，用绿色的点线：\n",
    "\n",
    "`ax.plot(x, y, 'g--')`\n",
    "\n",
    "这种方法可以很方便的同时指定颜色和线样式；不过有些用户可能不喜欢直接把规定颜色和样式的字符串写在一起，当然，我们也可以写得更明确一些：\n",
    "\n",
    "`ax.plot(x, y, linestyle='--', color='g')`\n",
    "\n",
    "有很多可供选择的颜色缩写，当然，我们也可以使用任意的颜色，通过制定hex code(十六进制码，比如'#CECECE')。通过查看plot的字符串文档，我们可以看到可供选择的所有线样式（直接输入`plot?`）。\n",
    "\n",
    "另外还可以用markers（标记物）来高亮实际的数据点。因为matplotlib创建一个continuous line plot（连续线条图）的话，如果想要插入，可能看不清楚哪里可以插入数据点。而marker可以作为样式的一部分，字符串必须按颜色，标记物类型，样式这样的顺序："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x217d488d2b0>]"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "plt.plot(np.random.randn(30).cumsum(), 'ko--')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "当然，我们也快成写得更准确一些："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x217d48b4588>]"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "plt.plot(np.random.randn(30).cumsum(), color='k', linestyle='dashed', marker='o')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "对于点线图，我们注意到，默认情况下，后续点是通过线性添加上的。这个可以通过drawstyle来更改："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "data = np.random.randn(30).cumsum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x217d48b49b0>]"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "plt.plot(data, 'k--', label='Default') "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x217d48be710>]"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "plt.plot(data, 'k-', drawstyle='steps-post', label='steps-post')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x217d4896240>"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "plt.legend(loc='best')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "当运行上面命令时，我们注意到，输出有`<matplotlib.legend.Legend at 0x10906fda0>`这样的字样。这是matplotlib返回我们添加的那些子图的索引。大部分时候我们可以无视这种输出。这里，我们把label传递给了plot，这样通过plt.legend显示出每条线的意义。\n",
    "\n",
    "注意：我们必须调用plt.legend（或ax.legend，如果有axes的话）来创建一个legend（图例），不论是非传入label。（译者：经测试，如果不调用plt.legend的话，是看不到label的）\n",
    "\n",
    "# 3 Ticks, Labels, and Legends（标记，标签，图例）\n",
    "\n",
    "对于大部分绘图的装饰，有两种主要的方法：使用pyplot（matplotlib.pyplot）和用更对象导向的简单的matplotlib API。\n",
    "\n",
    "pyplot界面是为交互式使用而设计的，它包含很多方法，比如xlim, xticks, xticklabels。这些方法控制绘图的范围，标记位置，标记标签。有两种使用方法：\n",
    "\n",
    "- 调用的时候不传入参数，使用当前的参数设置（例如，plt.xlim()返回当前X轴的范围）\n",
    "- 调用的时候传入参数，使用传入的参数设置（例如，plt.xlim([0, 10]), 令X轴的范围从0到10）\n",
    "\n",
    "所有这些方法，作用于激活的或最新创建的AxesSubplot对象上。每一个都在subplot有对应的两个方法；比如对于xlim，就有对应的ax.get_xlim和ax.set_xlim。这里作者使用subplot的方法，这样会更清晰。\n",
    "\n",
    "### Setting the title, axis labels, ticks, and ticklabels（设定标题，轴标签，标记，标记标签）\n",
    "\n",
    "这里创建一个简单的图，画一个随机漫步："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "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, fig.canvas.height);\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 overriden (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",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\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": [
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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure() # 直到下一个黑体标题出现前，不要关闭这个fig"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "ax = fig.add_subplot(1, 1, 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x217d48beb00>]"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ax.plot(np.random.randn(1000).cumsum())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "为了改变x-axis tick（x轴标记），使用set_xticks和set_xticklabels。前者告诉matplotlib沿着x轴的范围，把标记放在哪里；默认会把所在位置作为标签，但我们可以用set_xticklabels来设置任意值作为标签："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "ticks = ax.set_xticks([0, 250, 500, 750, 1000])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [],
   "source": [
    "labels = ax.set_xticklabels(['one', 'two', 'three', 'four', 'five'],\n",
    "                            rotation=30, fontsize='small')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "rotation选项让x轴上的标记标签有一个30度的旋转。set_xlabel给x轴一个名字，而set_title给subplot一个标题："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5,1,'My first matplotlib plot')"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ax.set_title('My first matplotlib plot')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5,99.92,'Stages')"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ax.set_xlabel('Stages')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "用相同的流程来更改y轴，把上面代码里的x变为y。axes类有一个set方法，能让我们一次设置很多绘图特性。对于上面的例子，我们可以写成下面这样："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[Text(0.5,99.92,'Stage'), Text(0.5,1,'My first matplotlib plot')]"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "props = {\n",
    "    'title': 'My first matplotlib plot',\n",
    "    'xlabel': 'Stage'\n",
    "}\n",
    "\n",
    "ax.set(**props)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Adding legends （添加图例）\n",
    "\n",
    "图例对于绘图很重要。有很多方式可以添加图例。最简单的方法是用label参数："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [],
   "source": [
    "from numpy.random import randn"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "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, fig.canvas.height);\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 overriden (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",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\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=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(); ax = fig.add_subplot(1, 1, 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x20255aad588>]"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ax.plot(randn(1000).cumsum(), 'k', label='one')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x217d4ead748>]"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ax.plot(randn(1000).cumsum(), 'k--', label='two')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x217d4ec30f0>]"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ax.plot(randn(1000).cumsum(), 'k.', label='three')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "做完了上面的部分，调用ax.legend()或plt.legend()，来自动创建图例："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x217d4ecb278>"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ax.legend(loc='best')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "legend方法有一些选项，比如用loc参数设定位置。更多信息，可以参考字符串文档（ax.legend?）\n",
    "\n",
    "loc告诉matplotlib把图例放在哪里。如果不挑剔的话，直接设定'best'就可以了，它会自动选择一个合适的位置。如果想要从图例中排除一个或更多的元素，那就不要传入label，或设置`label='_nolegen_'`。\n",
    "\n",
    "# 4 Annotations and Drawing on a Subplot（注释和在subplot上画图）\n",
    "\n",
    "除了标准的绘图类型，我们可能希望画出自己的绘图注释，包括文本，箭头或其他形状。我们可以添加注释和文本，通过text，arrow，和annotate函数。text能在指定的坐标(x, y)上写出文本，还可以自己设定样式：\n",
    "\n",
    "`ax.test(x, y, 'Hello world!', family='monospace', fontsize=10)`\n",
    "\n",
    "注释可以画出文本和箭头。这里我们做一个例子，画出S&P 500指数自2007年后的价格，并用注释指出在2008~2009年经融危机期间一些重要的日期。\n",
    "\n",
    "下面的内容可以在一个cell里直接执行："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "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, fig.canvas.height);\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 overriden (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",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\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=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "Text(0.5,1,'Important dates in the 2008-2009 financial crisis')"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from datetime import datetime\n",
    "\n",
    "fig = plt.figure()\n",
    "ax = fig.add_subplot(1, 1, 1)\n",
    "\n",
    "data = pd.read_csv('examples/spx.csv', index_col=0, parse_dates=True)\n",
    "spx = data['SPX']\n",
    "\n",
    "spx.plot(ax=ax, style='k-')\n",
    "\n",
    "crisis_data = [\n",
    "    (datetime(2007, 10, 11), 'Peak of bull market'),\n",
    "    (datetime(2008, 3, 12), 'Bear Stearns Fails'),\n",
    "    (datetime(2008, 9, 15), 'Lehman Bankruptcy')\n",
    "]\n",
    "\n",
    "for date, label in crisis_data:\n",
    "    ax.annotate(label, xy=(date, spx.asof(date) + 75),\n",
    "                xytext=(date, spx.asof(date) + 225),\n",
    "                arrowprops=dict(facecolor='black', headwidth=4, \n",
    "                                width=2, headlength=4),\n",
    "                horizontalalignment='left', verticalalignment='top')\n",
    "    \n",
    "# Zoom in on 2007-2010\n",
    "ax.set_xlim(['1/1/2007', '1/1/2011'])\n",
    "ax.set_ylim([600, 1800])\n",
    "\n",
    "ax.set_title('Important dates in the 2008-2009 financial crisis')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "在这幅图里，有一些点是值得强调的：ax.annotate方法能在x和y坐标指示的位置画出标签。我们可以用set_xlim和set_ylim方法来手动地设置开始和结束的边界，而不是用matplotlib的默认边界。最后，ax.set_title添加一个主标题。\n",
    "\n",
    "可以联网看matplotlib gallery上查看更多关于标注的例子。\n",
    "\n",
    "要想画出图形的话，更需要细心一些。matplotlib有一些对象可以用来表示一些常见的图形，被称之为patches。其中一些，比如Rectangle和Circle，在matplotlib.pyplot也有，但是全套画图形的方法还是在matplotlib.patches里。\n",
    "\n",
    "给图中添加一个图形，必须先添加一个patch对象，shp，然后通过调用ax.add_patch(shp)把它添加到subplot中："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "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, fig.canvas.height);\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 overriden (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",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\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=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.patches.Polygon at 0x217d55dfc88>"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fig = plt.figure()\n",
    "ax = fig.add_subplot(1, 1, 1)\n",
    "\n",
    "rect = plt.Rectangle((0.2, 0.75), 0.4, 0.15, color='k', alpha=0.3)\n",
    "circ = plt.Circle((0.7, 0.2), 0.15, color='b', alpha=0.3)\n",
    "pgon = plt.Polygon([[0.15, 0.15], [0.35, 0.4], [0.2, 0.6]],\n",
    "                   color='g', alpha=0.5)\n",
    "\n",
    "ax.add_patch(rect)\n",
    "ax.add_patch(circ)\n",
    "ax.add_patch(pgon)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 5 Saving Plots to File（把图保存为文件）\n",
    "\n",
    "我们可以用plt.savefig来保存图。这个方法等同于直接在figure对象上调用savefig方法。例如，想要保存一个SVG版本的图片，键入：\n",
    "\n",
    "    `plt.savefig('figpath.svg)`\n",
    "\n",
    "保存的文件类型通过文件名后缀来指定。即如果使用 .pdf做为后缀，就会得到一个PDF文件。这里有一些重要的设置，作者经常用来刊印图片：\n",
    "\n",
    "- dpi，控制每英寸长度上的分辨率\n",
    "- bbox_inches, 能删除figure周围的空白部分\n",
    "\n",
    "比如我们想要得到一幅PNG图，有最小的空白，400 DPI，键入：\n",
    "\n",
    "    plt.savefig('figpath.png', dpi=400, bbox_inches='tight')\n",
    "    \n",
    "savefig不仅可以写入磁盘，还可以导出为任意像是文件一样的对象，比如BytesIO：\n",
    "\n",
    "    from io import BytesIO\n",
    "    buffer = BytesIO()\n",
    "    plt.savefig(buffer)\n",
    "    plot_data = buffer.getvalue()\n",
    "\n",
    "看下图关于savefig更多的选项：\n",
    "\n",
    "![](http://oydgk2hgw.bkt.clouddn.com/pydata-book/xc0am.png)\n",
    "\n",
    "# 6 matplotlib Configuration（matplotlib设置）\n",
    "\n",
    "matplotlib很多默认的设置是可以自己定义的，通过修改一些全局设定，比如图大小，subplot间隔，颜色，字体大小，网格样式等等。一种更累设定的方式是用rc方法，例如，想要设置全局的图大小为10 x 10，键入：\n",
    "\n",
    "    plt.rc('figure', figsize=(10, 10))\n",
    "    \n",
    "rc中的第一个参数是我们想要自定义的组件，比如'figure', 'axes', 'xtick', 'ytick', 'grid', 'legend'，或其他。然后添加一个关键字来设定新的参数。一个比较方便的写法是把所有的设定写成一个dict：\n",
    "\n",
    "    font_options = {'family': 'monospace',\n",
    "                    'weight': 'bold',\n",
    "                    'size'  : 'small'}\n",
    "    plt.rc('font', **font_options)\n",
    "    \n",
    "更详细的设定可以去看一下文档，matplotlib影城而设置文件*matplotlibrc*，位于*matplotlib/mlp-data*文件夹下。如果按自己的方式修改这个文件，并把这个文件放在主目录下，更名为*.matplotlibrc*的话，在每次启动matplotlib的时候，会自动加载这个文件。"
   ]
  }
 ],
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