mych08.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 绘图和可视化"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Populating the interactive namespace from numpy and matplotlib\n"
     ]
    }
   ],
   "source": [
    "%pylab inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Figure和Subplot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.figure.Figure at 0x76c65c0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "ax1 = fig.add_subplot(2, 2, 1) # 图像2x2，且当前选中的是4个subplot的第一个（编号从1开始）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "ax2 = fig.add_subplot(2, 2, 2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "ax3 = fig.add_subplot(2, 2, 3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from numpy.random import randn"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7bec198>]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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oRCVYs2bNcPPmTV3HZbXw3HPPAcjZq/P27duFbvpMpuOfKlEJ5+XlZfMJHcjZu3TXrl2a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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7c4c860>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(randn(50).cumsum(), 'k--')              # k--是一个线型选项，用于绘制黑色虚线图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "_ = ax1.hist(randn(100), bins=20, color='k', alpha=0.3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "pc = ax2.scatter(np.arange(30), np.arange(30) + 3*randn(30))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 可以创建一个新的Figure，并返回一个含有已创建的subplot对象的Numpy数组"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYIAAAD8CAYAAAB6paOMAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nBGZmiXMhMDNLnAuBmVni/j+QqnKVrD+zPAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x87b12b0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axes = plt.subplots(2, 3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[<matplotlib.axes._subplots.AxesSubplot object at 0x000000000877F588>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x0000000008989358>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x0000000008C4FE10>],\n",
       "       [<matplotlib.axes._subplots.AxesSubplot object at 0x0000000008D415C0>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x0000000008E4D0B8>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x0000000008EB0828>]], dtype=object)"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "axes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x8989358>"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "axes[0, 1]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Figure的subplots_adjust方法可以修改间距"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.figure.Figure at 0x87b1cf8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "subplots_adjust(left=None, bottom=None, right=None, top=None, wspace=None, hspace=None) # wspace和hspace用于控制高度和宽度的百分比."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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kNc4gkKTGGQSS1DiDQJIaZxBIUuMMAklqnEEgSY0zCCSpcQaBJDXOIJCkxhkEktQ4g0CS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\nDAJJapxBIEmN+7+VgjtGoK61VwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x918ea20>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axes = plt.subplots(2, 2, sharex=True, sharey=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "for i in range(2):\n",
    "    for j in range(2):\n",
    "        axes[i, j].hist(randn(500), bins=50, color='k', alpha=0.5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.figure.Figure at 0x9497eb8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.subplots_adjust(wspace=0, hspace=0)  # 注意看下面的代码，是对fig调用的"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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gD0jyr0meSfLDJF9P8rYexNTryyskuSPJo0meSnI5ySfmHZN+Xx/zGvqd24ua1w65DEjy\nl8B/dTt8/wWgqh6aYzwHgP9h4PIKwEcnvbzCLCQ5DByuqieSvBW4BBzvU4zLrm953cXU69xe1Ly2\nQx9QVf9RVa90k98Dbp9nPCzA5RWq6lpVPdE9/xXwNJ4x3Cs9zGvoeW4val5b0Hf2d8C/zzmGhbq8\nQpI14G7gsflGol30Ia9hgXJ7kfJ6KW5wMSjJfwJ/ss2iT1fV2e41nwZeAR7Zz9gWWZK3AF8FHqyq\nX847nmVjXs/GouX10hX0qvrQbsuTfAz4G+BIzX8Hw0+BOwamb+/m9UqSW7iR9I9U1dfmHc8yWrC8\nhgXI7UXMa3eKDkhyFPgs8OdV9VIP4nkDN3YcHeFGsj8O/G2fzshNEmAL+HlVPTjvePSH+pbX0P/c\nXtS8tqAPSPIc8MfAz7pZ36uqv59jSCT5a+DfeP3yCv80z3huluTPgP8GfgT8Xzf7U91ZxOqBPuY1\n9Du3FzWvLeiS1AiPcpGkRljQJakRFnRJaoQFXZIaYUGXpEZY0CWpERZ0SWqEBV2SGvH/ujWTuXiJ\n5A4AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x918ea20>"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fig"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "fig.subplots_adjust(wspace=0, hspace=0)  # 调整了间距"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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qagAMZnifpUgyHOcwoVVhvJtj3bad8R6eWVouTwG3JHlnkjcCHwHOzScsSdKkpq7Qq+rV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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x918ea20>"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fig # 发现轴标签可能会重叠"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 颜色、标记和线型"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### plot函数接受一组X和Y坐标，还可以接受一个表示颜色和线型的字符串缩写"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'ax' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-44-446bf99fd807>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0max\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mplot\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mx\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0my\u001b[0m \u001b[1;33m,\u001b[0m\u001b[1;34m'g--'\u001b[0m\u001b[1;33m)\u001b[0m  \u001b[1;31m# 根据x和y绘制绿色虚线\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[1;31mNameError\u001b[0m: name 'ax' is not defined"
     ]
    }
   ],
   "source": [
    "ax.plot(x, y ,'g--')  # 根据x和y绘制绿色虚线"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'ax' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-45-414b64e0832d>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m()\u001b[0m\n\u001b[0;32m      1\u001b[0m \u001b[1;31m# 上述代码等价于：\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 2\u001b[1;33m \u001b[0max\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mployt\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mx\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0my\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mlinestyle\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;34m'--'\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mcolor\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;34m'g'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[1;31mNameError\u001b[0m: name 'ax' is not defined"
     ]
    }
   ],
   "source": [
    "# 上述代码等价于：\n",
    "ax.ployt(x, y, linestyle='--', color='g')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 常用的颜色都有一个缩写词，要使用其他任意颜色则可以指定其RGB值得形式使用，例如‘#CECECE’"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 线型图还可以加上一些标记，以强调实际的数据点。由于matplotlib创建的是连续的线型图（点与点之间插值），因此有时可能不太容易看出真实数据点的位置。标记也可以放到格式字符串中，但标记类型和线型必须放到颜色后面"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x9c55198>]"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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Jz/l8PqWUUn/961+ViNT6N2e321VeXp7eofpl+/btCoBaunSp0aEE7cSJE+ryyy9Xc+bM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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x9f8ac18>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(randn(30).cumsum(), 'ko--')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0xa24a6d8>]"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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B165dg94nWKqKZ555Bj169PD7+cknn2z4OZ2KiZ3IgtLT0wEEfgO1oqICGRkZ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\nrkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x9f9ee80>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 可以写的更加明确\n",
    "plt.plot(randn(30).cumsum(), color='k', linestyle='dashed', marker='o')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 在线型图中，非实际数据点默认是按线型方式插值的。可以通过drawstyle选项修改"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "data = randn(30).cumsum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0xa3fddd8>]"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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aI6LiRUVFISwszK0/PETmMOqK/UMAowE4tso/EZUYb5xSYRwu7CLSG0CKqu4pZrtwEYkR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\nLwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xa173f98>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(data, 'k--', label='Default')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0xa7744e0>]"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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uapPU0n6yvcf2UNI5SUciolEftSnYM7ohIrqSflnS71XTAKlUD4Zrx3zf1j4n6e2SupKe\nl/RX063O6Gy/WdL9kg5GxI82ftbWPtqkTa3tp4h4pcqCfZL2277uos9H6qM2BftZSddseL2veq+1\nIuJs9fc5SYe1Nt2UwQvVPOj6fOi5KdenkYh4ofqH96qkv1fL+qmat71f0j0R8eXq7Vb30WZtans/\nSVJE/FDSw5IOqEEftSnYn5D0DtvX2n6DpFskPTjlOo3N9t7qwo9s75X0fklPX/q3WuNBSR+rfv6Y\npAemWJfG1v9xVT6sFvVTdWHuC5JORMRnN3zU2j7aqk1t7SfbnfX9om2/SWsLRE6qQR+1ZlWMJFXL\nlw5J2iPproj4kylXaWy23661Ubq09vjk5Ta2x/YXJS1o7Ul0L0j6Y0n/Iuk+SXNae4rnRyOiFRck\nt2jPgtb+ex+STkv6nQ1zn7ua7Rsk/buk70p6tXr7j7Q2J93WPtqqTbeqhf1k+11auzi6R2uD7fsi\n4jO2f0pj9lGrgh0AsL02TcUAAGog2AEgGYIdAJIh2AEgGYIdAJIh2AEgGYIdAJIh2AEgmf8HOO5L\nFirMuEwAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xa667780>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(data, 'k-', drawstyle='steps-post', label='steps-post')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXwAAAD8CAYAAAB0IB+mAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xad4d940>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.legend(loc='best')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 刻度、标签和图例"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### 调用时不带参数：plt.xlim()返回当前的X轴绘图范围\n",
    "##### 调用带参数：plt.xlim([0,10])会将X轴的范围设置为0-10"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 设置标题、轴标签、刻度以及刻度标签"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXwAAAD8CAYAAAB0IB+mAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xb0fa438>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure()\n",
    "ax = fig.add_subplot(1, 1, 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0xb189da0>]"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ax.plot(randn(1000).cumsum())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 要修改x的刻度，最简单的办法是使用set_xticks和set_xticklabels\n",
    "前者告诉matplotlib要将刻度放在数据范围中的哪些位置，默认情况下，这些位置也就是刻度标签。\n",
    "但是我们可以通过set_xticklabels将任何洽谈的值用作标签"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "ticks = ax.set_xticks([0, 250, 500, 750, 1000])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "labels = ax.set_xticklabels(['one', 'two', 'three', 'four', 'five'],\n",
    "                           rotation=30, fontsize='small') "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 最后用set_xlabels为X轴设置一个名词，用set_title设置标题"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0xb17fdd8>"
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ax.set_title('My first matplotlib plot')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0xb0d9b00>"
      ]
     },
     "execution_count": 75,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ax.set_xlabel('Stages')\n",
    "ax.set_ylabel('size')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0xb0fa400>"
      ]
     },
     "execution_count": 70,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ax"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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exyPvr4+51mvLd+DueatS/t8KBcP0VIIaRV2lD8yIKeWSC1r0pNKtepUBIXeI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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xb0fa438>"
      ]
     },
     "execution_count": 76,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fig      # 调用fig来显示，而不是调用ax，ax是轴，设置属性用的"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 添加图例"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 图例（legend）是另一种用于标识图表元素的重要工具。\n",
    "#### 两种方法：\n",
    "1. 在添加subplot的时候传入label参数\n",
    "2. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.figure.Figure at 0x9160be0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "rig = plt.figure();ax = fig.add_subplot(1, 1, 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0xa878748>]"
      ]
     },
     "execution_count": 79,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ax.plot(randn(1000).cumsum(), 'k', label='one')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x9f8a5c0>]"
      ]
     },
     "execution_count": 80,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ax.plot(randn(1000).cumsum(), 'k--', label='two')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0xa86c780>]"
      ]
     },
     "execution_count": 81,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ax.plot(randn(1000).cumsum(), 'k.', label='three')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x9012320>"
      ]
     },
     "execution_count": 84,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ax.legend()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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Apjpzc3MrMPAvNDSUihUr8sMPP1id37dvH15eXja7leKipuc4deoUPj4+BUZT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\nUigiIqJRCkVERDRKoYiIiEZ/Az0mnj2X3J2LAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xb0fa438>"
      ]
     },
     "execution_count": 85,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fig"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 注解以及在Subplot上绘图"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 有时候希望绘制一些自定义的注解（比如文本、箭头或者其他图标）"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 注解可以通过text\\arrow和annotate等函数进行添加\n",
    "text可以将文本绘制在图表的指定坐标（x，y），还可以加一些自定义格式"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'x' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-86-8f6baadac618>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0max\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mtext\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mx\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0my\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;34m'Hello world'\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0mfamily\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;34m'monospace'\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mfontsize\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m10\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[1;31mNameError\u001b[0m: name 'x' is not defined"
     ]
    }
   ],
   "source": [
    "ax.text(x,y,'Hello world',family='monospace', fontsize=10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 注解中既可以含有文本也可以含有箭头\n",
    "例如我们根据2007年依赖的标准普尔500指数收盘价格绘制一张曲线图，并标出2008年到2009年金融危机期间的一些重要日期"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "from datetime import datetime\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.figure.Figure at 0xc2cd860>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "ax = fig.add_subplot(1, 1, 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 122,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "data = pd.read_csv('ch08/spx.csv', index_col=0, parse_dates=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 123,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "spx = data['SPX']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 124,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1990-02-01     328.79\n",
       "1990-02-02     330.92\n",
       "1990-02-05     331.85\n",
       "1990-02-06     329.66\n",
       "1990-02-07     333.75\n",
       "1990-02-08     332.96\n",
       "1990-02-09     333.62\n",
       "1990-02-12     330.08\n",
       "1990-02-13     331.02\n",
       "1990-02-14     332.01\n",
       "1990-02-15     334.89\n",
       "1990-02-16     332.72\n",
       "1990-02-20     327.99\n",
       "1990-02-21     327.67\n",
       "1990-02-22     325.70\n",
       "1990-02-23     324.15\n",
       "1990-02-26     328.67\n",
       "1990-02-27     330.26\n",
       "1990-02-28     331.89\n",
       "1990-03-01     332.74\n",
       "1990-03-02     335.54\n",
       "1990-03-05     333.74\n",
       "1990-03-06     337.93\n",
       "1990-03-07     336.95\n",
       "1990-03-08     340.27\n",
       "1990-03-09     337.93\n",
       "1990-03-12     338.67\n",
       "1990-03-13     336.00\n",
       "1990-03-14     336.87\n",
       "1990-03-15     338.07\n",
       "               ...   \n",
       "2011-09-02    1173.97\n",
       "2011-09-06    1165.24\n",
       "2011-09-07    1198.62\n",
       "2011-09-08    1185.90\n",
       "2011-09-09    1154.23\n",
       "2011-09-12    1162.27\n",
       "2011-09-13    1172.87\n",
       "2011-09-14    1188.68\n",
       "2011-09-15    1209.11\n",
       "2011-09-16    1216.01\n",
       "2011-09-19    1204.09\n",
       "2011-09-20    1202.09\n",
       "2011-09-21    1166.76\n",
       "2011-09-22    1129.56\n",
       "2011-09-23    1136.43\n",
       "2011-09-26    1162.95\n",
       "2011-09-27    1175.38\n",
       "2011-09-28    1151.06\n",
       "2011-09-29    1160.40\n",
       "2011-09-30    1131.42\n",
       "2011-10-03    1099.23\n",
       "2011-10-04    1123.95\n",
       "2011-10-05    1144.03\n",
       "2011-10-06    1164.97\n",
       "2011-10-07    1155.46\n",
       "2011-10-10    1194.89\n",
       "2011-10-11    1195.54\n",
       "2011-10-12    1207.25\n",
       "2011-10-13    1203.66\n",
       "2011-10-14    1224.58\n",
       "Name: SPX, Length: 5472, dtype: float64"
      ]
     },
     "execution_count": 124,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "spx"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 125,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0xc2cd710>"
      ]
     },
     "execution_count": 125,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "spx.plot(ax=ax, style='k-')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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DhgcDM1W1CTDTv4+ItAR6Aq38r3lORJx0fCOBa4Am/j82ENm4vvrqKwD+/e9/\nR3R+ugaBSCa4OUNio52t+vbbb/Pyyy+zf//+gIlJ3bp1S7t/t2SKJgh4k/KFG+AQTuXKlVm5ciVj\nxowp0mfFSqFBQFXnAMFz2LsDTo3HABd6yiep6l5VXQt8B3QQkVrAEao6X32Dwcd6XmOMO00+kjun\ndOSMFY/kScBpPohkUlE4PXr04Oqrr6ZMmTIB6SC8T1KmcD/++CPvvfeeu7RmYaKdXQzQtGnTpK2N\nEW2fQE1VdbIjbQacIQ+1Ae+A7g3+str+7eByYwBfVkUg4qYK75dbOnBG+kQSBAYNGgRA9+7di/25\n3nxES5YsKfb7ZRMnf1OkE/eCF4VJF8XuGPbf2cd0lQ8R6S8ii0RkkbOWrMls5557LtWqVcvY/DRF\nCQLOHeF9991X5M8JTlzmld/QWxMb3ieBgtaXSDXRBoEt/iYe/H9v9ZdvBLy5aXP8ZRv928HlYanq\ni6qaq6q5Rx99dJRVNKnqiy++YMSIERw6dIi+ffsyb948Ro4cGTLJpiDpFiyKEgS85s+fX6Tzwy0U\nP2DAAFSVVq1aFem9TNF4O+G/+eabJNakaKINAlOAvv7tvsC7nvKeIlJWRBrg6wBe6G86+lVEOvpH\nBfXxvMZkmQ4dOnDLLbewfv16xo4dW6S0t44WLVrEoWbx4wSBomY+3bx5c5HOD7d+8OOPP16k9zDR\nueKKK9ztdLpJiWSI6ETgc6CZiGwQkX7AI0AXEVkNdPbvo6rLgNeA5cB0YKCqHvS/1fXAS/g6i9cA\n02J8LSbNOGmUoxHtyJlkifZJoKjXGW6xkuIsUGIi5/RnLV68OMk1KZpIRgf1UtVaqlpaVXNU9WVV\n/UVVz1HVJqraWVW3e85/SFUbqWozVZ3mKV+kqq39x27QVFwt3MSNqjJhwoSYTfhKt6GOzkL0RU0R\nvXLlSs4++2x3bdrCOHns9+zZE5LC2MRXmzZtaNCgQUCivnRgM4ZNQrzyyitcccUV3HDDDTF5v759\n+xZ+UgqZMGECP/30U5GD11133cUnn3wSdtnKcHbs2EHZsmUpX748K1euTKs1F9JdXl5eQheDiRXL\nImoS4uqrrwbg5ZdfzvecoUOHFvgeq1at4vfff6dZs2ZJn2pfVGXLlg1Y0rGovKkI8qOqPPbYY5Qu\nXRoRoUqVKoWuZWuKb+3atUyaNIk9e/akZRCwJwGTMm666aYCjzdp0oQ2bdpQtmzZtGsOKqqRI0cG\n7Dv5/w/dN71TAAAZxElEQVQcOMC4cePcyWde9957L5B+/SXprmHDhgwZMoSPPvooIENourAgYOLO\nu95qQWw1q8OCF5Vxkur16dOHPn36cOeddzJx4sSAYJDNC8Akgojw7LPPBpQFp/u2JwFjwtiyZUtE\n52X63X1RBK8s5TTrTJw4EYBHH32U3r17M2LECPecdJtFnU6ccf/BfVrBQ37TMQhYn4CJu4ImzlSt\nWpU5c+awbNmyBNYo9ZUsWTJgPy8vL+zQQ+dJwAbbxVd+ExmDm+UsCBgThjM8MpzSpUvTunVrWrdu\nncAapb7gyXCffvpp2BWnnAV4vF9SkWavNJFzFvspLKmf9QkYU0RHHHFEsquQkoIzSk6dOjVsh6/T\nbOR9EvCuVGUSKx2fBCwImLjyLrLhuOOOO9zt6dOnJ7I6aS3cqmT79+9n165dvP/++0mokQmWbmtf\ngwUBE2ddunRxt9esWcOQIUO4++673bJGjRolo1oZY/369fTq1YurrroKKNrylaZghd2ghHsyW7du\nXbyqEzfWJ2Diytvc07BhQ3e8u4mNhx9+mJycwwl6benI2Dn11FNDyrwdweHSdhdnYZlksScBE1fH\nH398squQ8bz9AWeffXYSa5JZwq30tWPHDnfey++//+6WP/zww0BgOul0YU8CJq6c9A7BiwNNmTIl\n4klkJtCUKVN48sknmTVrFo0aNWLDhsOL9p1yyilJrFlmyW+5xyOPPBJV5YUXXgB8azj07dsXEXGX\nSU0nkurji3Nzc3XRokXJroaJUr9+/fjggw/YtGlT4SebAPlNnnP+z4Y7nur/n9OJqoZM2vMec/79\nhw4dyuDBgxNZtYiIyGJVzS3sPGsOMnG1bt066tWrl+xqZIyGDRuGlFWrVg0InWVsiqegGezevoGi\nLvyTaqw5yMTNqlWr+Pjjj5NdjYxy//33h5Q5E8UsY2ji7N27191OxyYgL7t1MHHTrFmzZFch4+TX\nTg1YwI2DZ555xt32jnT76quv3O3ipAhPBRYETNxddtllya5CWmvatKm77V2ZbNy4cQHntW3bNmF1\nyhbXXnutu+0dyOAtL+pqcanGgoCJC+8iKJMmTUpiTdLfjBkz3G3vk0DlypWTUZ2skl+/wNKlSxNc\nk/gpVhAQkZtFZJmILBWRiSJSTkSOEpEZIrLa/3dVz/l3iMh3IrJSRM4tfvVNKlFVN2NouneWpZK6\ndeu6294gcMEFFySjOlnF29keLoFfJvTDRB0ERKQ2cBOQq6qtgZJAT2AwMFNVmwAz/fuISEv/8VbA\necBzIlIy3Hub9NSvXz/atGmDiLizKW2NgNjyNj3YaKD48/7+VqpUKeR4JkzOK+5vUSmgvIiUAioA\nPwHdgTH+42OAC/3b3YFJqrpXVdcC3wEdMBnj1VdfdbedeQFTp05NVnUyivM0ENwxbPMCEidc89sT\nTzyRhJrEVtRBQFU3AsOAdcAmYJeqfgTUVFVnZtBmoKZ/uzaw3vMWG/xlJkO0a9fO3XZmCGfC43Iq\ncJ6sbP3g5Bk7dmzIiLdMWBK1OM1BVfHd3TcAjgUqisgV3nPUd5tS5FsVEekvIotEZFFwugGTupYs\nWeJuDxw4EAhdfs9EbsKECe4Y9G3btgHhl5BcunQpGzduTGjdslH9+vWZMGFCQFkmNHcWZ7JYZ2Ct\nqv4MICJvAacAW0SklqpuEpFawFb/+RuBOp7X5/jLQqjqi8CL4EsbUYw6mgR58MEHw5ZbEIhe7969\n6d27d0BZuOGIrVq1SlSVsl7wymHpuJJYsOL0CawDOopIBfGFw3OAFcAUoK//nL7Au/7tKUBPESkr\nIg2AJsDCYny+SSF33XVX2PKyZcsmuCaZqWvXrgA0adIkyTXJbsHNP+E6i9NN1E8CqrpARN4AlgAH\ngC/x3b1XAl4TkX7Aj8Cl/vOXichrwHL/+QNV9WDYNzdp67zzzmPfvn3MmjULyIw201QwZswYhgwZ\nQo8ePZJdlayWib/PlkXUxITTNvr888/zj3/8w82tsn///gJTHRiT6pzfbVXl119/5cgjjwR8aSTC\nLZ+aKiyLqEkIEQnoHLvqqqsCkmtZADCZxPskcNZZZyWxJrFjQcBE7dChQwH7N998M2XKlKF9+/bA\n4QVljEl3F110ERDYMV+zZs38Tk8rdptmorZ169aAfWekxPDhwznzzDM55phjklEtY2IqLy8v7A3N\n+eefn4TaxJ4FARO18ePHB+x36tQJgEaNGgFw5ZVXJrpKxsRcfp3BmdLUmRlXYZLi1ltvDdjv3Lkz\nALVr12bdunXk5OQko1rGxFXFihXZs2cPJUtmRuoz6xMwUTv33MOJYIOXPaxTp05GzKY0Jpjz5Z8p\nTwIWBExU1q1bx4cffshJJ53E6NGj3XkBxmQ6Z3GZTAkCmXEVJuGcxeMXLFjA/Pnzk1wbYxIvU4KA\nPQmYItu+fXuyq2BM0lkQMFlr8eLF7vbcuXOTWBNjkseCgMlaTjKz119/nVNPPTXJtTEmOWx0kMkK\n55xzDiJCz5492bJlS8Cxiy++OEm1MiZ5nGU9M6VZ1IKAKZAz6mfy5Mn87W9/c+9+7rjjDhsCarLS\nypUr6dGjBx07dkx2VWLCgoAJMHz4cD777DMgNC3E9OnT3XxBtWrVSnjdjEkFjRs35s0338yYtNKZ\n0bNhYmLz5s0MGjTI3XcWNz/vvPOYPn16wLkVK1ZMaN2MMfFhTwLG9eOPPwbsr1u3DoB77rkn5NxM\nWFbPGGNPAsZj5cqVYcurVavmbrdo0YIuXbpwySWXJKpaxpg4spXFjKtMmTLs378/pHznzp1UqVLF\n3U/13xljjK0sZqLw17/+FQhcMWnnzp3ucnrGmMxTrCAgIlVE5A0R+VZEVojIySJylIjMEJHV/r+r\nes6/Q0S+E5GVInJuQe9tEsdZInLixIk0adKEWbNmsX//fn777Tc3AKxatQqA5cuXJ7OqxpgYK+6T\nwFPAdFVtDhwPrAAGAzNVtQkw07+PiLQEegKtgPOA50QkM6bcpbHgJSIdpUqVChgB1KRJE1SVFi1a\nJKpqxpgEiDoIiMiRwBnAywCquk9VdwLdgTH+08YAF/q3uwOTVHWvqq4FvgM6RPv5JjYWLlwYsJ+b\nW2gTojEmgxTnSaAB8DPwqoh8KSIviUhFoKaqbvKfsxlwVmOuDaz3vH6Dv8wk0cknnxyw36pVqyTV\nxBiTDMUJAqWAdsBIVW0L7MHf9ONQ3zCSIg8lEZH+IrJIRBb9/PPPxaiiyc/+/fu599573X1nBNaN\nN96YpBoZY5KhOPMENgAbVHWBf/8NfEFgi4jUUtVNIlILcHIPbATqeF6f4y8LoaovAi+Cb4hoMepo\nwpgzZw5nnnlmQFn79u1t6KcxWSjqJwFV3QysF5Fm/qJzgOXAFKCvv6wv8K5/ewrQU0TKikgDoAkQ\n2CBtEuK9994L2N+9e3eSamKMSbbizhi+EZggImWA74Gr8AWW10SkH/AjcCmAqi4TkdfwBYoDwEBV\nPVjMzzdFpKps2uTrsilXrhw33XQTlSpVSnKtjDHJUqwgoKpfAeGGk5yTz/kPAQ8V5zNN9Lypn7t1\n68a7775bwNnGmGxgM4azxMyZMwP2c3JyklQTY0wqsdxBWSJ4AZi8vLyMyYdujAlluYOMy7s4zNKl\nS1FVCwDGGMCCQFaoWdM3X69t27Y2GcwYE8CCQIZ79tln3e133nkniTUxxqQiCwIZ7NChQ9xwww3u\nvrNcpDHGOCwIZLCnn37a3Q5eNN4YY8CCQMaaP38+N998M+BbO/joo49Oco2MManIgkCGcrKDVqtW\nzZqBjDH5siCQgT799FN327KwGmMKYkEgxfzxxx/cfvvtUWf0nDlzprtG8LRp00ImiRljjJcFgRRy\n4MABypcvz2OPPcZzzz2X73lr167l0ksvZfXq1axdu5Y//vjDPda5c2d3+9RTT41rfY0x6c+CQJLd\nfffdnHLKKcyYMYPSpUu75TfccAMiEvAF7+jTpw+vv/46TZs2pWHDhtSoUQOA6dOnu+ccPHiQypUr\nx/8CjDFprbippE2UypUrx969e939rl27hj1v1qxZ/PnPf2bQoEG0aNGCE044gblz5wacs3v3bm65\n5RZGjBgBwIABAyhRwuK7MaZwlkAuTnbt2sW5557LsGHDOO200xg9ejRlypThT3/6EytXrgxZ29fx\n1ltvccYZZ1C9enUAevXqxcSJEyP+3HLlypGXl2d9AcZkuUgTyFkQiIPhw4czaNAgd79p06asWrUq\n3/PHjBlD3bp16dSpU0B5QV/k+/fvp3Tp0rRr144lS5YElJcqZQ94xmS7SIOAfVvE0KhRo7jvvvvY\nuDFw6eRwAeDoo49m7dq1lCtXjpIlSxbpc3777TdKlSrFli1bqFSpEl27dmXevHlMnDjRAoAxpkis\n4ThGtm7dSv/+/UMCgFfTpk0BePvtt9m6dSsVK1YsMADUrl0bgHbt2rF48WK6devGli1bqFixIgA1\natSgQoUKzJ07l59++omePXvG8IqMMdnAmoOisG3bNpYsWUK9evXYsGEDZ511Vtgv865duzJhwgQu\nuugiRo0aRfPmzYv0OQcOHACwu3tjTJElrDlIREoCi4CNqnq+iBwFTAbqAz8Al6rqDv+5dwD9gIPA\nTar6YXE/P9bWrFlD48aNqVOnDp999hk5OTn88ssvPPLIIxw8eJAHHniAnJycgJE9XrNmzaJ8+fK0\na9eO0qVLIyL897//jaou9uVvjIm3WHzL/ANYARzh3x8MzFTVR0RksH//dhFpCfQEWgHHAh+LSFNV\nPRiDOsTMww8/DMD69eupU6dOyHFnGGY4jz32mDtb1xhj0kGx+gREJAf4C/CSp7g7MMa/PQa40FM+\nSVX3qupa4DugQ3E+Px527NgR1eveeOMNbr311hjXxhhj4qu4HcNPArcBhzxlNVV1k397M1DTv10b\nWO85b4O/LGlmz57NypUrAVi2bBmvv/4633//PX/5y1+YNGlSwLn/+te/aNasGQD9+vVDVTl06PBl\n9+jRI3EVN8aYGIk6CIjI+cBWVV2c3znq63Uucs+ziPQXkUUisigWWTDXrVvHCy+8wKpVq/jggw8A\nGDx4MJ06daJ58+aICK1bt+bSSy9l8+bNHHvssVx22WWoKmeccQbg++JfsmQJkydP5qWXXnLqye+/\n/8727dttcpYxJi0Vp0/gVKCbiPwZKAccISLjgS0iUktVN4lILcBZ0moj4G1kz/GXhVDVF4EXwTc6\nqBh1BOCSSy5h4cKF7v7tt9/Oo48+GvbcLVu2BHT6fvzxx3z55ZfuyJ5LL7004Pxy5cpRrly54lbR\nGGOSIuonAVW9Q1VzVLU+vg7fWap6BTAF6Os/rS/wrn97CtBTRMqKSAOgCbCQONqxYwdNmzYNCABA\nvgHAcdJJJ7nbpUuXpkOHlOu6MMaYmIjHZLFHgC4ishro7N9HVZcBrwHLgenAwGhGBi1fvpzly5fz\n1FNPFTgxS1U56qijWL16db7nHHfccXz77bcAjB071i2/9tpri1otY4xJS2k1WUxVA7JjXn755Ywf\nPz7s66ZOncoFF1zg7t9555089NBD3HTTTTz99NMcOHAgZILXoUOHLPumMSYjRDpZLK2+8YIXSZkw\nYYI7qzZYXl6eu71hwwYefPBBVJWnnnoKVQ07w9cCgDEm26TNt9727dv5/PPPQ8rXr18f5mzfiCDw\n9Qs4OXiMMcYESvkgsHv3bkSEatWqAdC/f3++//57xo0bB8Brr70W9nXOxK0qVaokpqLGGJOGUj4I\nBKdhPuGEE2jQoAGVKlUCfOP9vXbu3MnIkSMTVj9jjElnaZeh7JRTTgHgnHPOccu2bNlCzZo12b17\nN1WrVk1W1YwxJu2kRRAYMWIEnTt35j//+Q9t2rQBCFhE/ZhjjuHQoUMcccQRAa/zDvs0xhgTKuWH\niB5//PH61VdfhU3LULJkyYD8PcEWLVpE+/bt41k9Y4xJSRkzRNTJyR9Oo0aNwpY7TUUtWrSIW72M\nMSYTpHwQKMj06dNDUkBs376djz/+GFWlQoUKSaqZMcakh7QOAg0bNuS2227juOOOA2DMmDHWMWyM\nMUWQFh3Dhfnyyy/ZtGkTOTk5ya6KMcaklbR+EnCULFnSAoAxxkQhI4KAMcaY6FgQMMaYLGZBwBhj\nspgFAWOMyWIWBIwxJotZEDDGmCyW8rmDRORn4McEf2x1YFuCPzMV2HVnj2y8Zsiu666nqkcXdlLK\nB4FkEJFFkSReyjR23dkjG68Zsve6C2LNQcYYk8UsCBhjTBazIBDei8muQJLYdWePbLxmyN7rzpf1\nCRhjTBazJwFjjMliFgRMxpP8lqYzxmR3EMjGLwcRyYg1JIqodLIrkAwiUt3/d8lk1yWRRORIz3bW\n/R8vqqwLAiLSQkROBtAs6hARkZNFZBRwYrLrkij+a34dGCYiLbPhy1B8KojIROBdAFU9mORqJYSI\nnCQi7wIvicjfRaRsNv0fj1bWBAEROdL/JTgJeEBEHhKRxsmuVyKIyDX4RkUsAb7Mki/DGsAzwAf4\nZoj+A/i7/1jG3h2qT55/t7qIXAcgIhn9f11E2gDPAm8ArwNnA1nx/7u4MvoXI8it+EZDHQ9cC1QD\n6ie1RolTF7hTVUeq6h9Zcmd4PLBSVV8FngDeArqLSFNV1UwNBCJSSkRqAVuAfsB1IlJFVQ9leCDo\nAHynquOAGUA5YJ1zMFN/3rGQyb8UiEgDESnv3x0F3A2gqmuAKsBxyapbPPmvu6x/+yigNbBQRM4W\nkQ9FZIiI9PAfz4j/HCLSS0TuE5Fu/qIvgRNFpJGq7gG+ABbhuwHImKZAz3VfAKCqB1R1E9AA+AGY\nDQz2/zscSmJVY8pz3d39Re8BF4nIQ8A3QA7wtIjcDpnz846HjAwCIlJfRKYBLwHjRaSZqv6oqj+J\nSBn/ab8Da5JXy9gLuu7/iEgLVd0O/AJMAC7E98i8CbhbRI5P9/8c/jbwAcBt+L70HheRq4HfgHH4\nmoEAdgIfAxX8d8ppLcx1DxORq0SkoojUA9aq6gZ8d8XXA6+LSFkRSetO8jDX/ZiI9FfVLUBzfIMA\nhqhqR2A0cJrTB2jCy5ggEHRH+y9ggaqeA3yCrw+glf+Y0xRSG1jvf23a/jsUcN2zgAdFpAFwD76n\nnk2qOsXfRPIB0D3kDdOMP4idDDziv66BQCfgHGAq0EhEOvvvgn/B93PflaTqxkw+190ZOB3YAdQX\nkfeAx/E9DfyoqntVdX+y6hwL+Vz3mSLyJ1Vdi68fYIP/9MXAVmBvUiqbJtL2yy+MchAwBHI5gKo+\ng6+98HIRqaGqB/0dwttV9Ut/x9ldIlIlKbUuvvyu+1mgPb7mj234ng4u9ryuBvBZ4qoZOyLSR0TO\n9Dd1AawAaotIKVX9GFiK74tiGzAReNL/Mz8HEKBMuPdNdRFc9//wBYFmwE/A90B7Vb0AqCMi7ZNS\n8WKK8LrP8g8G+BC4x39z1BNohS/4m3yk/ZhxEemC79FwpYjMUdXXRGQ70FZEVvpPW4qvc7QavjuD\nhvjaiz8B/gD+qao7k1D9qBXhuusAdVR1iIg0F5FH8N0p/wQsS0bdo+H/T30M8B/gEL6mvIr+IL4e\n35NOY+BbfCPARgDVVHW8iOQAg/F9OfZPp591Ea/7NXyd4JPx/U7v87zVOaqaNk9ARbzuyfh+3seq\n6gsiciYwDd/3299VNdHrkaQXVU3bP/h+CRbga9Zoi++u73qgMnAXvuaAuUAuvl+mm/yvuxzYDnRO\n9jUk6Lpv9r/uCHztpl2TfQ1FvN6S/r+bAuOdMuA5YAy+duCXgSuBI/3HRwMPed6jTLKvI0HXPQa4\n378tQIlkX0cCr/sB/3Zp4JhkX0e6/Em7JwGn/V59bbwnAYtV9V3/sY/x3Qm9rqoPiEhDVf3ef2we\nh9sGJ6nqhMTXPnoxuu7dqvotvrunlCe++QwPACVF5AN8Qewg+CZAiciN+Dq5W+ILdhfhGxUyFN/d\no9vcpYF3xSmtmNd9EN8NAur7Rkybjv8YXPd8/7n7gc0Jv4A0lVZ9AiJyFb5Onwf8Rd8APf2dn+B7\n/FuD79EQYK3/df3xjZleAuk3gzKG151OXwhn4uvYqwp8h+/a9+Nr++0A7s/xPuBRVZ2Jb0LcaSKy\nwP+6T5NQ9WKx686u604JyX4UifQPUAl4B9+QvyVAc3/5k/iaQ+YB4/G1Fb4P1PQf/ye+MeInJvsa\n7LqLdN2nA1d69p8DrgP+hu8pCHw3McfgmyFa319WBaid7Prbddt1p8ufpFegiL8odf1/PwJM9m+X\nBI4CTvPv18HXHlzWv18h2fW2647qmisAZTncPnw5MNS//RVwo387F5iY7Praddt1p+uftGoOUlVn\nGviTQAMROVd9j4i7VHWu/9gAIA844H9NXug7pZdsvG5VzVPfuHan6a4L8LN/+yqghYhMxfc0tCQZ\ndYwHu+7suu5UkHYdwwCqullEXgaGAB+qr9OoA3AnvpEBf9c0a/ePRDZet7+zUIGawBR/8W58/wat\n8c2M3Zik6sWNXXd2XXcypeXykiJSQn0Jsd7AN1pgL76UAKvVlxcoI2XjdfvHi5fBN9ntbXyZQH/B\n1zzwazLrFk923dl13cmUrk8Ch0SkAr5Zr53wjYuentxaxV82Xreqqoi0xddG3AB4VVVfTnK14s6u\nO7uuO5nSMgj4XY+vbbCLqmZTbpBsvO4N+Jq8hmfRNYNdd7Zdd1KkZXMQHG4aSXY9Ei1br9sYEx9p\nGwSMMcYUX1oNETXGGBNbFgSMMSaLWRAwxpgsZkHAGGOymAUBY4zJYhYEjDEmi1kQMMaYLPb/a9M8\nw/ZvfsMAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xc2cd860>"
      ]
     },
     "execution_count": 126,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fig"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 127,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "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",
    "]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 128,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "for date, label in crisis_data:\n",
    "    ax.annotate(label, xy=(date, spx.asof(date)+50),\n",
    "               xytext=(date, spx.asof(date)+200),\n",
    "               arrowprops=dict(facecolor='black'),\n",
    "               horizontalalignment='left', verticalalignment='top')\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 129,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(600, 1800)"
      ]
     },
     "execution_count": 129,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 放大到2007-2010\n",
    "ax.set_xlim(['1/1/2007', '1/1/2011'])\n",
    "ax.set_ylim([600, 1800])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0xc2cd710>"
      ]
     },
     "execution_count": 130,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ax.set_title('Important dates in 2008-2009 financial crisis')\n",
    "ax"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 131,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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unKV2NJqcQA83ZYA1i7pixYpeVRCesAzJ6YdVLJYsWeJkDM+ISpUqkT9/fqe0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\nYj7K91t+EQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xc2cd860>"
      ]
     },
     "execution_count": 131,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fig"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 为图表添加一个图形"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 132,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.figure.Figure at 0xc712048>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 133,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "ax = fig.add_subplot(1, 1, 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 134,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "rect = plt.Rectangle((0.2, 0.75), 0.4, 0.15, color='k', alpha=0.3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 135,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "circ = plt.Circle((0.7, 0.2), 0.15, color='b', alpha=0.3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 136,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "pgon = plt.Polygon([[0.15, 0.15], [0.35, 0.4], [0.2, 0.6]], color='g', alpha=0.5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 137,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.patches.Rectangle at 0xdf3d2e8>"
      ]
     },
     "execution_count": 137,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ax.add_patch(rect)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 138,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.patches.Circle at 0xe233f98>"
      ]
     },
     "execution_count": 138,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ax.add_patch(circ)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 139,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.patches.Polygon at 0xdf3d710>"
      ]
     },
     "execution_count": 139,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ax.add_patch(pgon)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 140,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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OB11EhtBYjNNYjNNYjDtrqt+Y1tYKzrkngCcAzGyXc25dOl8/U2ksxmksxmks\nxmksxpnZrql+byJTOk3Akgn3F48+dqrbiIhIgBIJ/J3ACjOrMrMC4PPAc8ds8xxw6+hqnYuATudc\n87E/SEREgjPplI5zbtjM7gaeB6LAU865t83sztHnHwe2AdcD1UAfcFsCr/3ElKvOPRqLcRqLcRqL\ncRqLcVMeC3Mnu9qBiIjkDJ1pKyISEgp8EZGQSHngqy3DuATG4gujY7DHzH5vZmuCqDMdJhuLCdtd\naGbDZva5dNaXTomMhZldaWZvmNnbZvZiumtMlwT+j5SZ2f+a2ZujY5HI8cKsY2ZPmVnsROcqTTk3\nnXMpu+EP8u4HTgcKgDeBVcdscz3wS8CAi4A/pLKmoG4JjsUlwOzRr68L81hM2O43+EUBnwu67gB/\nL8qBd4Clo/fnBV13gGNxP/DI6NcVQBtQEHTtKRiLy4G1wN4TPD+l3Ez1Hr7aMoybdCycc793zrWP\n3n0Vfz5DLkrk9wLgHuAZIJbO4tIskbG4GdjinKsHcM7l6ngkMhYOKDUzA0rwgT+c3jJTzzm3Hf93\nO5Ep5WaqA/9ELRdOdZtccKp/z9vx7+C5aNKxMLNK4C/I/UZ8ifxerARmm9nvzGy3md2aturSK5Gx\n+C5wDnAQ2APc65yLp6e8jDKl3ExrawVJjJldhQ/8S4OuJUDfAb7mnIv7nblQywMuAK4GioBXzOxV\n59yfgi0rEJ8G3gA+AZwBvGBmLznnuoItKzukOvDVlmFcQn9PMzsfeBK4zjl3JE21pVsiY7EOeHo0\n7OcC15vZsHPu2fSUmDaJjEUjcMQ51wv0mtl2YA2Qa4GfyFjcBvyL8xPZ1WZWC5wNvJaeEjPGlHIz\n1VM6asswbtKxMLOlwBbglhzfe5t0LJxzVc655c655cDPgC/nYNhDYv9HtgKXmlmemRXju9XuS3Od\n6ZDIWNTjP+lgZvPxnSNr0lplZphSbqZ0D9+lri1D1klwLB4A5gDfG92zHXY52CEwwbEIhUTGwjm3\nz8z+D3gLiANPOudyrrV4gr8XDwE/MrM9+BUqX3PO5VzbZDP7CXAlMNfMGoF/APJhermp1goiIiGh\nM21FREJCgS8iEhIKfBGRkFDgi4iEhAJfRCQkFPgiIiGhwBcRCYn/B7z1NrTn3CazAAAAAElFTkSu\nQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xc712048>"
      ]
     },
     "execution_count": 140,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fig"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 将图表保存到文件\n",
    "#### plt.savefig可以将当前图表保存到文件，例如要将图表保存为SVG文件，你只需要输入："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 141,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.figure.Figure at 0xe233e80>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.savefig('figpath.svg')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 142,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# 要得到一张带有最小白边且分辨率为400DPI的PNG图片。可以："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 155,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "fig.savefig('figpath.png', dpi=400, bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 145,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# savefig并非一定要写入磁盘，也可以写入任何文件型的对象，比如StringIO\n",
    "from io import StringIO"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 151,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "buffer = StringIO()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 154,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "ename": "TypeError",
     "evalue": "unicode argument expected, got 'str'",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-154-139bc17edbdc>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mfig\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0msavefig\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mbuffer\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[1;32mE:\\Anaconda\\lib\\site-packages\\matplotlib\\figure.pyc\u001b[0m in \u001b[0;36msavefig\u001b[1;34m(self, *args, **kwargs)\u001b[0m\n\u001b[0;32m   1571\u001b[0m             \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mset_frameon\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mframeon\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1572\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1573\u001b[1;33m         \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcanvas\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mprint_figure\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m*\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   1574\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1575\u001b[0m         \u001b[1;32mif\u001b[0m \u001b[0mframeon\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mE:\\Anaconda\\lib\\site-packages\\matplotlib\\backend_bases.pyc\u001b[0m in \u001b[0;36mprint_figure\u001b[1;34m(self, filename, dpi, facecolor, edgecolor, orientation, format, **kwargs)\u001b[0m\n\u001b[0;32m   2250\u001b[0m                 \u001b[0morientation\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0morientation\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   2251\u001b[0m                 \u001b[0mbbox_inches_restore\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0m_bbox_inches_restore\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 2252\u001b[1;33m                 **kwargs)\n\u001b[0m\u001b[0;32m   2253\u001b[0m         \u001b[1;32mfinally\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   2254\u001b[0m             \u001b[1;32mif\u001b[0m \u001b[0mbbox_inches\u001b[0m \u001b[1;32mand\u001b[0m \u001b[0mrestore_bbox\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mE:\\Anaconda\\lib\\site-packages\\matplotlib\\backends\\backend_agg.pyc\u001b[0m in \u001b[0;36mprint_png\u001b[1;34m(self, filename_or_obj, *args, **kwargs)\u001b[0m\n\u001b[0;32m    554\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    555\u001b[0m         \u001b[1;32mtry\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 556\u001b[1;33m             \u001b[0m_png\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mwrite_png\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mrenderer\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_renderer\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mfilename_or_obj\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mfigure\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mdpi\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    557\u001b[0m         \u001b[1;32mfinally\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    558\u001b[0m             \u001b[1;32mif\u001b[0m \u001b[0mclose\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mTypeError\u001b[0m: unicode argument expected, got 'str'"
     ]
    }
   ],
   "source": [
    "fig.savefig(buffer)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### pandas中的绘图函数"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 线型图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 157,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "from pandas import Series, DataFrame\n",
    "s = Series(np.random.randn(10).cumsum(), index=np.arange(0,100,10))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 159,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0xe7902b0>"
      ]
     },
     "execution_count": 159,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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u6R/tlXWIiHhSRQp8JdDFGNPBGBMKXAF85N1Yv9SqUTjzJg+ibkgQV76exObc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\nY2pSAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xe7a6080>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "s.plot()        # 索引用以绘制X轴，可以通过use_index=False禁用该功能\n",
    "# x轴的刻度和界限可以通过xticks和xlim选项进行调节，Y轴就用yticks和ylim"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### DataFrame的plot方法会在一个subplot中为各列绘制一条线，并自动创建图例"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 161,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "df = DataFrame(np.random.randn(10, 4).cumsum(0),\n",
    "              columns=['A','B','C','D'],\n",
    "              index=np.arange(0,100, 10))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 162,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>A</th>\n",
       "      <th>B</th>\n",
       "      <th>C</th>\n",
       "      <th>D</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>-0.875211</td>\n",
       "      <td>2.090906</td>\n",
       "      <td>1.540216</td>\n",
       "      <td>0.190590</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>-1.146609</td>\n",
       "      <td>1.827217</td>\n",
       "      <td>-0.216127</td>\n",
       "      <td>0.494522</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>-0.619081</td>\n",
       "      <td>1.880412</td>\n",
       "      <td>0.637936</td>\n",
       "      <td>1.274842</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>-0.678680</td>\n",
       "      <td>0.582110</td>\n",
       "      <td>-0.484246</td>\n",
       "      <td>2.737201</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>-0.900958</td>\n",
       "      <td>0.458075</td>\n",
       "      <td>-1.382680</td>\n",
       "      <td>2.181800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>-1.434719</td>\n",
       "      <td>-1.195754</td>\n",
       "      <td>-2.049952</td>\n",
       "      <td>0.726993</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>-1.493804</td>\n",
       "      <td>-0.338112</td>\n",
       "      <td>-0.682225</td>\n",
       "      <td>2.302028</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>0.596771</td>\n",
       "      <td>0.493070</td>\n",
       "      <td>-0.962038</td>\n",
       "      <td>2.324319</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>0.685665</td>\n",
       "      <td>-0.781977</td>\n",
       "      <td>-0.065416</td>\n",
       "      <td>4.035147</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>1.515922</td>\n",
       "      <td>-1.061400</td>\n",
       "      <td>0.500660</td>\n",
       "      <td>5.483598</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           A         B         C         D\n",
       "0  -0.875211  2.090906  1.540216  0.190590\n",
       "10 -1.146609  1.827217 -0.216127  0.494522\n",
       "20 -0.619081  1.880412  0.637936  1.274842\n",
       "30 -0.678680  0.582110 -0.484246  2.737201\n",
       "40 -0.900958  0.458075 -1.382680  2.181800\n",
       "50 -1.434719 -1.195754 -2.049952  0.726993\n",
       "60 -1.493804 -0.338112 -0.682225  2.302028\n",
       "70  0.596771  0.493070 -0.962038  2.324319\n",
       "80  0.685665 -0.781977 -0.065416  4.035147\n",
       "90  1.515922 -1.061400  0.500660  5.483598"
      ]
     },
     "execution_count": 162,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 163,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0xe95b4e0>"
      ]
     },
     "execution_count": 163,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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XqDZ0CLrKlS1zgv2L1BksgztAr7XqzJZSgaX98ANX33ob5wdaE7hwITaOlrtQ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\nRK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xea6c6d8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 柱状图"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### 在代码中加上参数kind='bar'(垂直柱状图)或kind='barh'(水平柱状图)即可生成柱状图。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### 此时，Series和DataFrame的索引会被用作X（bar）或Y（barh）刻度"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 165,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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BfcDh0Q5JfiFJusc7u+d9tc9YSdJ8jf3WUFUtJ7kfeBrYBBysqpNJ7uvaHwbuAn4vyTLw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\npMYZBJLUOINAkhpnEEhS4/4PgBZlsNLhcOMAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xdf5ca90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axes = plt.subplots(2, 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 166,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "data = Series(np.random.rand(16), index=list('abcdefghijklmnop'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 167,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0xdf3dd30>"
      ]
     },
     "execution_count": 167,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.plot(kind='bar', ax=axes[0], color='k',alpha=0.7)  # axes[0]选择第一个面板"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 168,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0xea90fd0>"
      ]
     },
     "execution_count": 168,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.plot(kind='barh', ax=axes[1], color='k', alpha=0.7)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 169,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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96c4ZEVGPQfbqae/J83zb+vPdzmt7ApgAaLVaztfviIjBGMbN3fuGcM6IiCilV09ERMMM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\nIhomgT8iomES+CMiGubfAVobNB+RdJUJAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xdf5ca90>"
      ]
     },
     "execution_count": 169,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fig"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 170,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# 对于DataFrame，柱状图会将每一行的值分为一组\n",
    "df = DataFrame(np.random.randn(6,4), index=['one', 'three','four', 'five', 'five', 'six'],\n",
    "              columns=pd.Index(['A','B','C','D'], name='Genus'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 171,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>Genus</th>\n",
       "      <th>A</th>\n",
       "      <th>B</th>\n",
       "      <th>C</th>\n",
       "      <th>D</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>one</th>\n",
       "      <td>0.235955</td>\n",
       "      <td>-1.232198</td>\n",
       "      <td>0.309490</td>\n",
       "      <td>0.190264</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>three</th>\n",
       "      <td>0.245657</td>\n",
       "      <td>-0.603572</td>\n",
       "      <td>0.148808</td>\n",
       "      <td>0.601517</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>four</th>\n",
       "      <td>1.409268</td>\n",
       "      <td>0.176346</td>\n",
       "      <td>0.645991</td>\n",
       "      <td>0.973367</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>five</th>\n",
       "      <td>-0.267359</td>\n",
       "      <td>-0.085241</td>\n",
       "      <td>-0.837062</td>\n",
       "      <td>-1.756934</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>five</th>\n",
       "      <td>-0.143262</td>\n",
       "      <td>-1.301666</td>\n",
       "      <td>0.375848</td>\n",
       "      <td>-1.112651</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>six</th>\n",
       "      <td>-2.078323</td>\n",
       "      <td>0.385381</td>\n",
       "      <td>0.100328</td>\n",
       "      <td>1.400051</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Genus         A         B         C         D\n",
       "one    0.235955 -1.232198  0.309490  0.190264\n",
       "three  0.245657 -0.603572  0.148808  0.601517\n",
       "four   1.409268  0.176346  0.645991  0.973367\n",
       "five  -0.267359 -0.085241 -0.837062 -1.756934\n",
       "five  -0.143262 -1.301666  0.375848 -1.112651\n",
       "six   -2.078323  0.385381  0.100328  1.400051"
      ]
     },
     "execution_count": 171,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 172,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0xe4430b8>"
      ]
     },
     "execution_count": 172,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0xc205518>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.plot(kind='bar')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 观察发现，DataFrame各列的名称“Genus”被用作了图例的标题。设置stacked=True即可为DataFrame生成堆积柱状图，这样每行的值就会被堆积在一起"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 173,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0xece3cc0>"
      ]
     },
     "execution_count": 173,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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MEucgMDNLnIPAzCxxDgIzs8Q5CMzMEucgMDNLnIPAzCxxDgIzs8Q5CMzMEjcy7wLMirLu\nc7l0e9fBK4vafkzd94+6bl7rO4MtpyR1ixfl0q9VPs8IzMwS5yAwM0ucg8DMLHEOAjOzxDkIzMwS\nd8wgkHSSpOsL7+dI+tbQlGVmZkOlvxnBScD1xTQoqab0cszMbKj1FwT/ApwhqQO4Ezhe0mpJ2yU9\nIEkAkl6QtFTS08A8SWdI+o6kdkmtkqYUtquTtEbSxsKrqayjMzOzfvV3Q9ltwLSIaJA0B3gUmAr8\nAngCaAI2FLbdHREzASQ9DjRHxHOS/gBYAVwEfBG4KyI2SJoAPAac2VfHkhYCCwEmTJhQ+gjNzOyY\nir2z+KmI6AQozBLq+XUQPFhYfjxwPvBQYcIAMKbw82LgrF7L3yXp+IjYe2RHEdECtAA0NjZGkXWa\nmdkAFRsEb/d6333E/m8Wfo4AXouIhj72HwG8PyL2F9mvmZmVSX/nCN4ATiimwYjYA+yQNA9APc4u\nrP4usPjQtpL6CgszMxtCxwyCiNgNPCFpCz0niwdqAfAJSZuArcBlheU3AI2SNkv6CdBcQs1mZpah\nfg8NRcRVR1m+qNf7+iPW7QDm9rHPLuDjRVdpZmZl4zuLzcwS5yAwM0ucg8DMLHEOAjOzxPlRlVZd\nLrw9l26XFL3H5KOv8kXTVmE8IzAzS5yDwMwscQ4CM7PEOQjMzBLnIDAzS5yDwMwscQ4CM7PEOQjM\nzBLnIDAzS5yDwMwscQ4CM7PEOQjMzBLnIDAzS5yDwMwscQ4CM7PEOQjMzBLnIDAzS5yfUGbFW/e5\nvCsYcncdvLKo7cfUfb/kvua1vtPvNnWLF5XcvtmRPCMwM0ucg8DMLHEOAjOzxDkIzMwS5yAwM0uc\ng8DMLHGZBIGkmyVtKbxuklQvaZukf5W0VdJ3JY0tbHuGpO9IapfUKmlKFjWYmVlpBh0EkmYBfw78\nAfB+4C+Bk4H3AvdExFTgNeDQhdgtwOKImAXcAqwYbA1mZla6LG4omw08HBFvAkj6D+ADwI6I6Chs\n0w7USzoeOB94SNKh/cf01aikhcBCgAkTJmRQppmZ9aWcdxa/3et9NzCWnhnIaxHR0N/OEdFCz+yB\nxsbGKEuFZmaWyTmCVuBySb8l6TjgisKy3xARe4AdkuYBqMfZGdRgZmYlGnQQRMTTwFeBp4AfAfcB\nrx5jlwXAJyRtArYClw22BjMzK10mh4Yi4gvAF45YPK3X+s/3er8DmJtFv2ZmNni+j8DMLHEOAjOz\nxDkIzMwS5yAwM0ucn1Bmxbvw9rwrGHJLit5jcumd9XuXjVm2PCMwM0ucg8DMLHEOAjOzxDkIzMwS\n5yAwM0ucg8DMLHEOAjOzxDkIzMwSp4jKf+aLpC5gZxG7nALsKlM5Q2k4jGM4jAGGxziGwxhgeIxj\nqMZwekTU9bdRVQRBsSS1RURj3nUM1nAYx3AYAwyPcQyHMcDwGEeljcGHhszMEucgMDNL3HANgpa8\nC8jIcBjHcBgDDI9xDIcxwPAYR0WNYVieIzAzs4EbrjMCMzMboGEbBJL+UdJmSR2SvivptLxrKoWk\nOyVtL4zlYUkn5V1TsSTNk7RV0juSKuZKiYGQNFfSTyX9TNJteddTCklfkfSypC1511IqSe+RtE7S\nTwp/l27Mu6ZSSKqV9JSkTYVxfCbvmmAYHxqS9K6I2FN4fwNwVkQ051xW0SRdAqyNiIOSlgJExK05\nl1UUSWcC7wBfBm6JiLacSxoQSTXAs8CHgE5gI/AnEfGTXAsrkqQLgL3A1yNiWt71lELS7wC/ExFP\nSzoBaAcur8I/CwHHRcReSaOADcCNEfFknnUN2xnBoRAoOA6oysSLiO9GxMHCxyeB8XnWU4qI2BYR\nP827jhKcC/wsIp6PiP8FVgGX5VxT0SLiv4FX8q5jMCLilxHxdOH9G8A24Hfzrap40WNv4eOowiv3\n/5uGbRAASPpnSS8CC4C/y7ueDPwF8O28i0jI7wIv9vrcSRX+5zPcSKoH3gf8KN9KSiOpRlIH8DLw\nvYjIfRxVHQSSvi9pSx+vywAi4m8j4j3AA8CifKs9uv7GUdjmb4GD9Iyl4gxkDGaDJel4YA1w0xGz\n/qoREd0R0UDP7P5cSbkfrqvqh9dHxMUD3PQB4L+AO8pYTsn6G4ekPwM+AvxhVOhJnSL+LKrJ/wDv\n6fV5fGGZ5aBwTH0N8EBE/Efe9QxWRLwmaR0wF8j1RH5VzwiORdJ7e328DNieVy2DIWku8NfAH0fE\nW3nXk5iNwHslTZQ0GpgPfDPnmpJUOMl6P7AtIr6Qdz2lklR36Mo/SWPpuRAh9/+bhvNVQ2uA36fn\napWdQHNEVN1vc5J+BowBdhcWPVltVz9JugK4G6gDXgM6IuLSfKsaGEl/BCwDaoCvRMQ/51xS0SSt\nBObQ842XLwF3RMT9uRZVJEmzgVbgGXr+TQP8TUT8V35VFU/SDOBr9Px9GgF8IyL+Id+qhnEQmJnZ\nwAzbQ0NmZjYwDgIzs8Q5CMzMEucgMDNLnIPAzCxxDgIzs8Q5CMzMEucgMDNL3P8BXtKxvANMt/oA\nAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xe6190f0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.plot(kind='barh', stacked=True, alpha=0.5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 柱状图有一个非常不错的用法，利用value_counts图形化显示Series中各值的出现频率"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 174,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0xef771d0>"
      ]
     },
     "execution_count": 174,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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r/rHvw8JyjSdGlZhujJqN9KNnxCeNI+d+e0SsX/C5vYEjyJmTd1Wb1wPeAHwu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\nAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xe4354a8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data.value_counts().plot(kind='bar')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 直方图和密度图"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 直方图（histogram）是一种可以对值频率进行离散化显示的柱状图"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 密度图是通过计算“可能会产生观测数据的连续概率分布的估计”，一般的过程是将该分布近似为一组核（即诸如正态（高斯）分布之类的简单的分布）。因此密度也被称为KDE（Kernel Density Estimate，核密度估计）图。调用plot加上参数kind='kde'即可生成密度图"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 散布图\n",
    "#### 散布图（scatte plot）是观测两个一维数据序列之间的关系的有效手段"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 175,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "macro = pd.read_csv('ch08/macrodata.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 177,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "data = macro[['cpi', 'm1', 'tbilrate', 'unemp']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 178,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "trans_data = np.log(data).diff().dropna()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 179,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>cpi</th>\n",
       "      <th>m1</th>\n",
       "      <th>tbilrate</th>\n",
       "      <th>unemp</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.005849</td>\n",
       "      <td>0.014215</td>\n",
       "      <td>0.088193</td>\n",
       "      <td>-0.128617</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.006838</td>\n",
       "      <td>-0.008505</td>\n",
       "      <td>0.215321</td>\n",
       "      <td>0.038466</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.000681</td>\n",
       "      <td>-0.003565</td>\n",
       "      <td>0.125317</td>\n",
       "      <td>0.055060</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.005772</td>\n",
       "      <td>-0.002861</td>\n",
       "      <td>-0.212805</td>\n",
       "      <td>-0.074108</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>0.000338</td>\n",
       "      <td>0.004289</td>\n",
       "      <td>-0.266946</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>0.006745</td>\n",
       "      <td>0.004980</td>\n",
       "      <td>-0.127155</td>\n",
       "      <td>0.074108</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>0.003021</td>\n",
       "      <td>0.001418</td>\n",
       "      <td>-0.030110</td>\n",
       "      <td>0.117783</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>-0.001006</td>\n",
       "      <td>0.007062</td>\n",
       "      <td>0.034338</td>\n",
       "      <td>0.076373</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>0.003683</td>\n",
       "      <td>0.005614</td>\n",
       "      <td>-0.034338</td>\n",
       "      <td>0.028988</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>0.002003</td>\n",
       "      <td>0.008362</td>\n",
       "      <td>0.013015</td>\n",
       "      <td>-0.028988</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>0.001999</td>\n",
       "      <td>0.007605</td>\n",
       "      <td>0.113944</td>\n",
       "      <td>-0.092373</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>0.005643</td>\n",
       "      <td>0.008230</td>\n",
       "      <td>0.048790</td>\n",
       "      <td>-0.101783</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>0.000331</td>\n",
       "      <td>0.000683</td>\n",
       "      <td>0.018149</td>\n",
       "      <td>-0.018019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>0.005281</td>\n",
       "      <td>0.001364</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.018019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>0.001973</td>\n",
       "      <td>0.010848</td>\n",
       "      <td>0.031861</td>\n",
       "      <td>-0.018019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>0.001313</td>\n",
       "      <td>0.009396</td>\n",
       "      <td>0.010399</td>\n",
       "      <td>0.053110</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>0.006866</td>\n",
       "      <td>0.010631</td>\n",
       "      <td>0.043852</td>\n",
       "      <td>-0.017392</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>0.001953</td>\n",
       "      <td>0.008555</td>\n",
       "      <td>0.109313</td>\n",
       "      <td>-0.035718</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>0.006160</td>\n",
       "      <td>0.007183</td>\n",
       "      <td>0.040585</td>\n",
       "      <td>0.018019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>0.000323</td>\n",
       "      <td>0.007131</td>\n",
       "      <td>-0.002845</td>\n",
       "      <td>-0.018019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>0.002259</td>\n",
       "      <td>0.012837</td>\n",
       "      <td>-0.011461</td>\n",
       "      <td>-0.056089</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>0.003219</td>\n",
       "      <td>0.015190</td>\n",
       "      <td>0.017143</td>\n",
       "      <td>-0.039221</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>0.005128</td>\n",
       "      <td>0.009378</td>\n",
       "      <td>0.063121</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>0.003192</td>\n",
       "      <td>0.008057</td>\n",
       "      <td>0.044220</td>\n",
       "      <td>-0.020203</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>0.006353</td>\n",
       "      <td>0.006767</td>\n",
       "      <td>-0.023167</td>\n",
       "      <td>-0.041673</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>0.002214</td>\n",
       "      <td>0.017624</td>\n",
       "      <td>0.023167</td>\n",
       "      <td>-0.065958</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>0.007241</td>\n",
       "      <td>0.018502</td>\n",
       "      <td>0.101536</td>\n",
       "      <td>-0.070618</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>0.012469</td>\n",
       "      <td>0.015841</td>\n",
       "      <td>0.060219</td>\n",
       "      <td>-0.050010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>0.005253</td>\n",
       "      <td>-0.008769</td>\n",
       "      <td>0.006473</td>\n",
       "      <td>-0.025975</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>0.012251</td>\n",
       "      <td>0.005271</td>\n",
       "      <td>0.117544</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>173</th>\n",
       "      <td>0.003896</td>\n",
       "      <td>0.011403</td>\n",
       "      <td>-0.028988</td>\n",
       "      <td>0.017392</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>174</th>\n",
       "      <td>0.006645</td>\n",
       "      <td>0.003745</td>\n",
       "      <td>-0.054394</td>\n",
       "      <td>-0.017392</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>175</th>\n",
       "      <td>0.007697</td>\n",
       "      <td>0.018760</td>\n",
       "      <td>-0.293913</td>\n",
       "      <td>0.017392</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>176</th>\n",
       "      <td>0.003280</td>\n",
       "      <td>0.017454</td>\n",
       "      <td>-0.051293</td>\n",
       "      <td>0.017094</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>177</th>\n",
       "      <td>0.002726</td>\n",
       "      <td>0.031150</td>\n",
       "      <td>-0.171850</td>\n",
       "      <td>0.049597</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>178</th>\n",
       "      <td>0.006511</td>\n",
       "      <td>0.007272</td>\n",
       "      <td>-0.021053</td>\n",
       "      <td>-0.016261</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>179</th>\n",
       "      <td>0.007543</td>\n",
       "      <td>0.006760</td>\n",
       "      <td>-0.043485</td>\n",
       "      <td>-0.050431</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>180</th>\n",
       "      <td>0.005887</td>\n",
       "      <td>0.019711</td>\n",
       "      <td>0.043485</td>\n",
       "      <td>-0.017392</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>181</th>\n",
       "      <td>0.009031</td>\n",
       "      <td>0.006286</td>\n",
       "      <td>0.252496</td>\n",
       "      <td>-0.017700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>182</th>\n",
       "      <td>0.008950</td>\n",
       "      <td>0.015177</td>\n",
       "      <td>0.297960</td>\n",
       "      <td>-0.036368</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>183</th>\n",
       "      <td>0.005227</td>\n",
       "      <td>0.004106</td>\n",
       "      <td>0.299877</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>184</th>\n",
       "      <td>0.010374</td>\n",
       "      <td>-0.006460</td>\n",
       "      <td>0.201084</td>\n",
       "      <td>-0.018692</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>185</th>\n",
       "      <td>0.004633</td>\n",
       "      <td>0.006460</td>\n",
       "      <td>0.112399</td>\n",
       "      <td>-0.038466</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>186</th>\n",
       "      <td>0.022849</td>\n",
       "      <td>0.006128</td>\n",
       "      <td>0.156521</td>\n",
       "      <td>-0.019803</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>187</th>\n",
       "      <td>0.001004</td>\n",
       "      <td>0.004064</td>\n",
       "      <td>0.127833</td>\n",
       "      <td>-0.020203</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>188</th>\n",
       "      <td>0.006498</td>\n",
       "      <td>-0.000072</td>\n",
       "      <td>0.120003</td>\n",
       "      <td>-0.041673</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>189</th>\n",
       "      <td>0.009916</td>\n",
       "      <td>-0.008219</td>\n",
       "      <td>0.066477</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>190</th>\n",
       "      <td>-0.003955</td>\n",
       "      <td>0.000146</td>\n",
       "      <td>0.016461</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>191</th>\n",
       "      <td>0.008257</td>\n",
       "      <td>0.003062</td>\n",
       "      <td>0.004073</td>\n",
       "      <td>-0.065958</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192</th>\n",
       "      <td>0.011458</td>\n",
       "      <td>0.004431</td>\n",
       "      <td>0.006079</td>\n",
       "      <td>0.022473</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>193</th>\n",
       "      <td>0.006863</td>\n",
       "      <td>-0.007055</td>\n",
       "      <td>-0.047579</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>194</th>\n",
       "      <td>0.008620</td>\n",
       "      <td>0.006693</td>\n",
       "      <td>-0.165514</td>\n",
       "      <td>0.043485</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>195</th>\n",
       "      <td>0.015948</td>\n",
       "      <td>-0.001306</td>\n",
       "      <td>-0.284354</td>\n",
       "      <td>0.021053</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>196</th>\n",
       "      <td>0.007044</td>\n",
       "      <td>0.004780</td>\n",
       "      <td>-0.657254</td>\n",
       "      <td>0.020619</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>197</th>\n",
       "      <td>0.021327</td>\n",
       "      <td>0.018115</td>\n",
       "      <td>0.109199</td>\n",
       "      <td>0.097164</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>198</th>\n",
       "      <td>-0.007904</td>\n",
       "      <td>0.045361</td>\n",
       "      <td>-0.396881</td>\n",
       "      <td>0.105361</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>199</th>\n",
       "      <td>-0.021979</td>\n",
       "      <td>0.066753</td>\n",
       "      <td>-2.277267</td>\n",
       "      <td>0.139762</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>200</th>\n",
       "      <td>0.002340</td>\n",
       "      <td>0.010286</td>\n",
       "      <td>0.606136</td>\n",
       "      <td>0.160343</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>201</th>\n",
       "      <td>0.008419</td>\n",
       "      <td>0.037461</td>\n",
       "      <td>-0.200671</td>\n",
       "      <td>0.127339</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>202</th>\n",
       "      <td>0.008894</td>\n",
       "      <td>0.012202</td>\n",
       "      <td>-0.405465</td>\n",
       "      <td>0.042560</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>202 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          cpi        m1  tbilrate     unemp\n",
       "1    0.005849  0.014215  0.088193 -0.128617\n",
       "2    0.006838 -0.008505  0.215321  0.038466\n",
       "3    0.000681 -0.003565  0.125317  0.055060\n",
       "4    0.005772 -0.002861 -0.212805 -0.074108\n",
       "5    0.000338  0.004289 -0.266946  0.000000\n",
       "6    0.006745  0.004980 -0.127155  0.074108\n",
       "7    0.003021  0.001418 -0.030110  0.117783\n",
       "8   -0.001006  0.007062  0.034338  0.076373\n",
       "9    0.003683  0.005614 -0.034338  0.028988\n",
       "10   0.002003  0.008362  0.013015 -0.028988\n",
       "11   0.001999  0.007605  0.113944 -0.092373\n",
       "12   0.005643  0.008230  0.048790 -0.101783\n",
       "13   0.000331  0.000683  0.018149 -0.018019\n",
       "14   0.005281  0.001364  0.000000  0.018019\n",
       "15   0.001973  0.010848  0.031861 -0.018019\n",
       "16   0.001313  0.009396  0.010399  0.053110\n",
       "17   0.006866  0.010631  0.043852 -0.017392\n",
       "18   0.001953  0.008555  0.109313 -0.035718\n",
       "19   0.006160  0.007183  0.040585  0.018019\n",
       "20   0.000323  0.007131 -0.002845 -0.018019\n",
       "21   0.002259  0.012837 -0.011461 -0.056089\n",
       "22   0.003219  0.015190  0.017143 -0.039221\n",
       "23   0.005128  0.009378  0.063121  0.000000\n",
       "24   0.003192  0.008057  0.044220 -0.020203\n",
       "25   0.006353  0.006767 -0.023167 -0.041673\n",
       "26   0.002214  0.017624  0.023167 -0.065958\n",
       "27   0.007241  0.018502  0.101536 -0.070618\n",
       "28   0.012469  0.015841  0.060219 -0.050010\n",
       "29   0.005253 -0.008769  0.006473 -0.025975\n",
       "30   0.012251  0.005271  0.117544  0.000000\n",
       "..        ...       ...       ...       ...\n",
       "173  0.003896  0.011403 -0.028988  0.017392\n",
       "174  0.006645  0.003745 -0.054394 -0.017392\n",
       "175  0.007697  0.018760 -0.293913  0.017392\n",
       "176  0.003280  0.017454 -0.051293  0.017094\n",
       "177  0.002726  0.031150 -0.171850  0.049597\n",
       "178  0.006511  0.007272 -0.021053 -0.016261\n",
       "179  0.007543  0.006760 -0.043485 -0.050431\n",
       "180  0.005887  0.019711  0.043485 -0.017392\n",
       "181  0.009031  0.006286  0.252496 -0.017700\n",
       "182  0.008950  0.015177  0.297960 -0.036368\n",
       "183  0.005227  0.004106  0.299877  0.000000\n",
       "184  0.010374 -0.006460  0.201084 -0.018692\n",
       "185  0.004633  0.006460  0.112399 -0.038466\n",
       "186  0.022849  0.006128  0.156521 -0.019803\n",
       "187  0.001004  0.004064  0.127833 -0.020203\n",
       "188  0.006498 -0.000072  0.120003 -0.041673\n",
       "189  0.009916 -0.008219  0.066477  0.000000\n",
       "190 -0.003955  0.000146  0.016461  0.000000\n",
       "191  0.008257  0.003062  0.004073 -0.065958\n",
       "192  0.011458  0.004431  0.006079  0.022473\n",
       "193  0.006863 -0.007055 -0.047579  0.000000\n",
       "194  0.008620  0.006693 -0.165514  0.043485\n",
       "195  0.015948 -0.001306 -0.284354  0.021053\n",
       "196  0.007044  0.004780 -0.657254  0.020619\n",
       "197  0.021327  0.018115  0.109199  0.097164\n",
       "198 -0.007904  0.045361 -0.396881  0.105361\n",
       "199 -0.021979  0.066753 -2.277267  0.139762\n",
       "200  0.002340  0.010286  0.606136  0.160343\n",
       "201  0.008419  0.037461 -0.200671  0.127339\n",
       "202  0.008894  0.012202 -0.405465  0.042560\n",
       "\n",
       "[202 rows x 4 columns]"
      ]
     },
     "execution_count": 179,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "trans_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 183,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0xf913c88>"
      ]
     },
     "execution_count": 183,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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5ztObzviqLrJSVnmrnrYDV9RfXwF8IyLN/cApZrbMzI4DLq3nox5cAn8EPJSz\nPNJFrcyzFNZYbTQxOcWg1S68YUl1+Vkag6emj81BFde9+X0J1UNRTy9TR5wFx81LVaWUdalbkW7J\n25i9CbjVzD4IPAG8G8DMFgE3uvtqdz9sZlcBO4BB4CZ3D+ZN+LSZraBW9fQ48B9zlkd6WNyFd6ha\nYcErZlfbRMm64l7wBNLKE1HSLLa7Pzm7WixtfnWRlbLJFSjc/TfAWyK2Pw2sDr2/C7grIt378xxf\n5pa0F96kJT2jLvjPvvASk1NHIvcdfgLJ2r0572h8jeaXXqEpPKRrGhuCj69WIhcOamw8blavH7VW\ndNTyppVBa9odNWmFwbwzn2rmVOkVChTSFZENwYNGZcBmXNAbL5ytzNIbbA+vUR0sq5r0BNEsKOVt\nwNfMqdIrtGa2dETjnfmhlw9n6kYaSFqXO+sa382UdZ1pkVZpzWwprSzTWsSNjwh0sl4/rs1krD4V\nuu78pV9o9lhpuyzTWjS74Hdylt6ksly9dTcf37an8GOKlJGeKKQlSY28jbJMa9Hsgt/Jev1mXW2/\nct+TjLz2xKPHzvKdiPQSBQrJLOuI4rjqoizjI8I6NUtvmskCg0Z0jbKWuUxVT5JZ1hHFcdVFGy8+\nPddI7k5oVqbgaUmjrGUu0xOFZJZ1RHGvdwM9IWaiPzjWjqFR1jKXKVBIZq30POrlRZ0++c7T+cit\nu2dNThgesKdR1jKXqepJMuu39cHXrhzmr9+9YsaaGyfMr7D5j8+cMUq7n74T6S96opDMer0qqRVp\nVuWD/vpOpH9oZLaISJ9odWS2qp5ERCSRqp6kp2hQm0jnKVBIz9CgNpHuUNWT9AwNahPpDgUK6Rka\n1CbSHbkChZmdaGbfM7NH6/+eEJPuJjM7aGYPtZJfBOIHr2lQm0h75X2i2ADc4+6nAPfU30f5B2BV\njvwikYPaDDj/1IW59huswb1sw52cu+letu0ay7U/kbkmb6BYA3yp/vpLwNqoRO7+A+DZVvOLQK3B\n+l1vHMZC2xz4+s6xli/uQQP52MQkzrEGcgULkWPyBoqT3P2Z+utfAie1K7+ZrTOzUTMbHR8fb6Go\nMhd8/5HxWUuh5mnQVgO5SHNNu8ea2d3AayI++lj4jbu7mbU8zLtZfnffAmyB2sjsVo8jva3oBm01\nkIs01zRQuPtb4z4zs1+Z2cnu/oyZnQwczHj8vPmlzxQ9S6tmfRVpLm/V03bgivrrK4BvdDi/9Jmi\nZ2nVrK8an3UuAAAGGElEQVQizeUNFJuAt5nZo8Bb6+8xs0VmdleQyMxuBn4MLDezA2b2waT8InHW\nrhzmukvOYHioigHDQ1Wuu+SMlkdmF70/kblIs8eKiPQJzR4rIiJtoUAhIiKJFChERCSRAoWIiCRS\noBARkUQKFCIikkiBQkREEmkpVOlLWntbJD0FCuk7WntbJBtVPUnf0dTiItkoUEjf0dTiItkoUEjf\n0drbItkoUEjf0dTiItmoMVv6TtBgrV5PIukoUEhfWrtyWIFBJCVVPYmISCIFChERSZQrUJjZiWb2\nPTN7tP7vCTHpbjKzg2b2UMP2jWY2Zma76z+r85RHRESKl/eJYgNwj7ufAtxTfx/lH4BVMZ99zt1X\n1H/uikkjIiJdkjdQrAG+VH/9JWBtVCJ3/wHwbM5jiYhIF+QNFCe5+zP1178ETmphHx82swfr1VOR\nVVciItI9TQOFmd1tZg9F/KwJp3N3Bzzj8b8I/BtgBfAM8NmEcqwzs1EzGx0fH894GBERaVXTcRTu\n/ta4z8zsV2Z2srs/Y2YnAwezHNzdfxXa198B30pIuwXYAjAyMpI1IImISIvyVj1tB66ov74C+EaW\nzPXgEvgj4KG4tCIi0h15A8Um4G1m9ijw1vp7zGyRmR3twWRmNwM/Bpab2QEz+2D9o0+b2R4zexA4\nH7gmZ3lERKRguabwcPffAG+J2P40sDr0/rKY/O/Pc3wREWk/jcwWEZFEVuus1FvMbBx4otvlKMi/\nAn7d7UK0kc6vt+n8el/4HF/r7guz7qAnA8VcYmaj7j7S7XK0i86vt+n8el8R56iqJxERSaRAISIi\niRQoum9LtwvQZjq/3qbz6325z1FtFCIikkhPFCIikkiBogMyLPC0ysz2mdl+M9sQ2r7ZzB6pz7J7\nh5kNda708eLKG/rczOxv6p8/aGZvSJu3DFo9PzNbYmbfN7OHzWyvmf2nzpe+uTy/v/rng2a2y8xi\n52jrppx/n0Nmdlv9/93PzOzfdrb0zeU8v2vqf5sPmdnNZvbKxIO5u37a/AN8GthQf70B+KuINIPA\nP1ObTfc44AHgtPpnbwfm1V//VVT+LpxTbHlDaVYD3wYMOAf4Sdq83f7JeX4nA2+ov/594Odz6fxC\nn38E+BrwrW6fT9HnR219nf9Qf30cMNTtcyrw73MY+AVQrb+/FfhA0vH0RNEZaRZ4OgvY7+6PufvL\nwC31fLj7d939cD3dfcDiNpc3jdjyhqwBvuw19wFD9Ykg0+TttpbPz92fcfefArj774CfUfvPWSZ5\nfn+Y2WLgIuDGThY6g5bPz8yOB94E/C8Ad3/Z3Sc6WfgUcv3+qE3fVDWzecB84OmkgylQdEaaBZ6G\ngadC7w8QfXH5U2p3Cd2WprxxadKeazflOb+jzOx1wErgJ4WXMJ+85/d54L8AR9pVwJzynN8yYBz4\n+3rV2o1mtqCdhW1By+fn7mPAZ4Anqa0D9Ly7fzfpYAoUBbH2LvAUHONjwGHgqwUUWdrMzH4P+Dpw\ntbv/ttvlKYqZvQM46O47u12WNpkHvAH4oruvBF6gVmU8J9TbSNdQC4iLgAVm9r6kPLlmj5VjPP8C\nT2PAktD7xfVtwT4+ALwDeEs92HRbYnmbpKmkyNttec4PM6tQCxJfdffb21jOVuU5v3cBF5vZauCV\nwKvM7Cvunnix6bA85+fAAXcPngJvo3yBIs/5vRX4hbuPA5jZ7cAfAF+JPVq3G2X64QfYzMzG7E9H\npJkHPEYtygeNU6fXP1sFPAws7Pa5pClvKM1FzGxM+6e0ebv9k/P8DPgy8Plun0c7zq8hzR9Szsbs\nXOcH/F9gef31RmBzt8+pwL/Ps4G91NomjFq76YcTj9ftE+6HH+DVwD3Ao8DdwIn17YuAu0LpVlPr\nIfPPwMdC2/dTq2vcXf+5odvnFFde4ErgyvprA66vf74HGGl2rmX6afX8gPOo3ZU+GPqdre72+RT5\n+wvto5SBooC/zxXAaP13uA04odvnU/D5XQs8Qm1V0f8NvCLpWBqZLSIiidSYLSIiiRQoREQkkQKF\niIgkUqAQEZFEChQiIpJIgUJERBIpUIiISCIFChERSfT/ASN9VWibIEh9AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xf89cdd8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 利用plt.scatter可以轻松绘制散布图\n",
    "plt.scatter(trans_data['m1'], trans_data['unemp'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 189,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x128edcc0>"
      ]
     },
     "execution_count": 189,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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yEdrcDxw1ML26nzdoAtiQBOAw4NQk26vqy2OpUpI0Z6ME/s3AsUmOoQv604A3DzaoqmOm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\nGmHgS1IjDHxJaoSBL0mNMPAlqRH/H/hh44xQdFYhAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x12896eb8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.title('Changes in log %s vs. log %s' % ('m1', 'unemp'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 190,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[<matplotlib.axes._subplots.AxesSubplot object at 0x00000000128B4D30>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x0000000012CD5FD0>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x0000000012D1EA20>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x0000000012E13278>],\n",
       "       [<matplotlib.axes._subplots.AxesSubplot object at 0x0000000012F2ED30>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x0000000012FA14E0>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x00000000143D7160>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x00000000144BD828>],\n",
       "       [<matplotlib.axes._subplots.AxesSubplot object at 0x0000000014584550>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x000000001465FC18>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x0000000014741A20>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x0000000014750DD8>],\n",
       "       [<matplotlib.axes._subplots.AxesSubplot object at 0x00000000148F8F60>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x0000000014A089B0>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x0000000014ACB390>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x0000000014B87DA0>]], dtype=object)"
      ]
     },
     "execution_count": 190,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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Zazdu3MBoNOLz+ZDJZMzOzkoxgWg0+lBdJKfTSTAYpLq6GoPBQEZGBvv27ZM6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\nhs7Z58880ZsAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x128f0400>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pd.plotting.scatter_matrix(trans_data, diagonal='kde', color='k', alpha=0.3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 绘制地图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 273,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "data = pd.read_csv('ch08/Haiti.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 274,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Serial</th>\n",
       "      <th>INCIDENT TITLE</th>\n",
       "      <th>INCIDENT DATE</th>\n",
       "      <th>LOCATION</th>\n",
       "      <th>DESCRIPTION</th>\n",
       "      <th>CATEGORY</th>\n",
       "      <th>LATITUDE</th>\n",
       "      <th>LONGITUDE</th>\n",
       "      <th>APPROVED</th>\n",
       "      <th>VERIFIED</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>4052</td>\n",
       "      <td>* URGENT * Type O blood donations needed in #J...</td>\n",
       "      <td>05/07/2010 17:26</td>\n",
       "      <td>Jacmel, Haiti</td>\n",
       "      <td>Birthing Clinic in Jacmel #Haiti urgently need...</td>\n",
       "      <td>1. Urgences | Emergency, 3. Public Health,</td>\n",
       "      <td>18.233333</td>\n",
       "      <td>-72.533333</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>4051</td>\n",
       "      <td>Food-Aid sent to Fondwa, Haiti</td>\n",
       "      <td>28/06/2010 23:06</td>\n",
       "      <td>fondwa</td>\n",
       "      <td>Please help food-aid.org deliver more food to ...</td>\n",
       "      <td>1. Urgences | Emergency, 2. Urgences logistiqu...</td>\n",
       "      <td>50.226029</td>\n",
       "      <td>5.729886</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4050</td>\n",
       "      <td>how haiti is right now and how it was during t...</td>\n",
       "      <td>24/06/2010 16:21</td>\n",
       "      <td>centrie</td>\n",
       "      <td>i feel so bad for you i know i am supposed to ...</td>\n",
       "      <td>2. Urgences logistiques | Vital Lines, 8. Autr...</td>\n",
       "      <td>22.278381</td>\n",
       "      <td>114.174287</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4049</td>\n",
       "      <td>Lost person</td>\n",
       "      <td>20/06/2010 21:59</td>\n",
       "      <td>Genoca</td>\n",
       "      <td>We are family members of Juan Antonio Zuniga O...</td>\n",
       "      <td>1. Urgences | Emergency,</td>\n",
       "      <td>44.407062</td>\n",
       "      <td>8.933989</td>\n",
       "      <td>NO</td>\n",
       "      <td>NO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4042</td>\n",
       "      <td>Citi Soleil school</td>\n",
       "      <td>18/05/2010 16:26</td>\n",
       "      <td>Citi Soleil, Haiti</td>\n",
       "      <td>We are working with Haitian (NGO) -The Christi...</td>\n",
       "      <td>1. Urgences | Emergency,</td>\n",
       "      <td>18.571084</td>\n",
       "      <td>-72.334671</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>4041</td>\n",
       "      <td>Radio Commerce in Sarthe</td>\n",
       "      <td>26/04/2010 13:14</td>\n",
       "      <td>Radio Commerce Shelter, Sarthe</td>\n",
       "      <td>i'm Louinel from Sarthe. I'd to know what can ...</td>\n",
       "      <td>5e. Communication lines down,</td>\n",
       "      <td>18.593707</td>\n",
       "      <td>-72.310079</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>4040</td>\n",
       "      <td>Contaminated water in Baraderes.</td>\n",
       "      <td>26/04/2010 14:19</td>\n",
       "      <td>Marc near Baraderes</td>\n",
       "      <td>How do we treat water in areas without Pipe?\\t...</td>\n",
       "      <td>4. Menaces | Security Threats, 4e. Assainissem...</td>\n",
       "      <td>18.482800</td>\n",
       "      <td>-73.638800</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>4039</td>\n",
       "      <td>Violence at &amp;quot;arcahaie bas Saint-Ard&amp;quot;</td>\n",
       "      <td>26/04/2010 14:27</td>\n",
       "      <td>unable to find &amp;quot;arcahaie bas Saint-Ard&amp;qu...</td>\n",
       "      <td>Goodnight at (arcahaie bas Saint-Ard) 2 young ...</td>\n",
       "      <td>4. Menaces | Security Threats,</td>\n",
       "      <td>18.415000</td>\n",
       "      <td>-73.195000</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>4038</td>\n",
       "      <td>No electricity in pernier</td>\n",
       "      <td>15/03/2010 10:58</td>\n",
       "      <td>Pernier</td>\n",
       "      <td>why the people who lives in pernier doesn't fi...</td>\n",
       "      <td>2. Urgences logistiques | Vital Lines, 2f. San...</td>\n",
       "      <td>18.517443</td>\n",
       "      <td>-72.236841</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>4037</td>\n",
       "      <td>Shelter and food needed at Lamentin 54 and Rue...</td>\n",
       "      <td>15/03/2010 11:00</td>\n",
       "      <td>Intersection of Lamentin 54 and Rue St Juste</td>\n",
       "      <td>GOOD EVENING ONG, I'M VERY HAPPY FOR THE AID Y...</td>\n",
       "      <td>2. Urgences logistiques | Vital Lines, 2d. Ref...</td>\n",
       "      <td>18.547790</td>\n",
       "      <td>-72.410010</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>4036</td>\n",
       "      <td>Food needed, House collapsed in 1ere Section S...</td>\n",
       "      <td>15/03/2010 14:18</td>\n",
       "      <td>Assumed 1ere Section Salagnac and Salagnac de ...</td>\n",
       "      <td>i'm living in Nip Department, First section sa...</td>\n",
       "      <td>1a. Highly vulnerable, 2. Urgences logistiques...</td>\n",
       "      <td>18.415000</td>\n",
       "      <td>-73.195000</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>4035</td>\n",
       "      <td>Clogged toilet in canape vert</td>\n",
       "      <td>19/03/2010 10:19</td>\n",
       "      <td>Canape Vert</td>\n",
       "      <td>Please give the message for with the concern O...</td>\n",
       "      <td>4. Menaces | Security Threats, 4e. Assainissem...</td>\n",
       "      <td>18.539513</td>\n",
       "      <td>-72.327118</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>4034</td>\n",
       "      <td>Tent shelter and food needed on Lapot St. Carr...</td>\n",
       "      <td>22/03/2010 10:49</td>\n",
       "      <td>unable to find street, mapped to Carrefour</td>\n",
       "      <td>We need tent, cover, rice. Uneted Nation never...</td>\n",
       "      <td>2. Urgences logistiques | Vital Lines, 2d. Ref...</td>\n",
       "      <td>18.534260</td>\n",
       "      <td>-72.408960</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>4033</td>\n",
       "      <td>Help needed in Brochette</td>\n",
       "      <td>17/03/2010 13:40</td>\n",
       "      <td>Brochette 99, Brochette, west of Carrefour</td>\n",
       "      <td>We live in brochette 99, we don't find any hel...</td>\n",
       "      <td>2. Urgences logistiques | Vital Lines, 2b. Pen...</td>\n",
       "      <td>18.525190</td>\n",
       "      <td>-72.458954</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>4031</td>\n",
       "      <td>Victims of Sexual Assault in Champs-de-Mars Sh...</td>\n",
       "      <td>16/04/2010 14:45</td>\n",
       "      <td>provisional shleter on Champs-de-Mars</td>\n",
       "      <td>if women and children are victim of rape or ot...</td>\n",
       "      <td>3. Public Health,</td>\n",
       "      <td>18.542300</td>\n",
       "      <td>-72.336200</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>4030</td>\n",
       "      <td>Help needed in 1ere section, Leogane</td>\n",
       "      <td>26/04/2010 14:26</td>\n",
       "      <td>&amp;quot;corail le maire&amp;quot;  in 1st section de...</td>\n",
       "      <td>TO WHOM IT MAY CONCERN, PLEASE HELP US WE ARE ...</td>\n",
       "      <td>2. Urgences logistiques | Vital Lines,</td>\n",
       "      <td>18.499145</td>\n",
       "      <td>-72.651215</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>4029</td>\n",
       "      <td>Food /water  and  medicals supplies/ petit-goave</td>\n",
       "      <td>26/04/2010 12:37</td>\n",
       "      <td>petit goave</td>\n",
       "      <td>[13709949] · we are suffering in the area &amp;quo...</td>\n",
       "      <td>1. Urgences | Emergency, 7. Secours | Services...</td>\n",
       "      <td>18.426199</td>\n",
       "      <td>-72.818756</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>4027</td>\n",
       "      <td>Medical attention needed on Delmas 41</td>\n",
       "      <td>26/04/2010 16:12</td>\n",
       "      <td>Delmas 41</td>\n",
       "      <td>I am mikaelle I need to know where the hospita...</td>\n",
       "      <td>3. Public Health, 3b. Chronic care needs,</td>\n",
       "      <td>18.547300</td>\n",
       "      <td>-72.301000</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>4025</td>\n",
       "      <td>Water needed for woman and child on Delmas 72</td>\n",
       "      <td>28/01/2010 22:38</td>\n",
       "      <td>Rte Delmas 72</td>\n",
       "      <td>english:\\t\\nNeed help. I have a 1 year old chi...</td>\n",
       "      <td>2. Urgences logistiques | Vital Lines, 2b. Pen...</td>\n",
       "      <td>18.519200</td>\n",
       "      <td>-72.283100</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>4024</td>\n",
       "      <td>needed help on anything/ Aral road</td>\n",
       "      <td>22/01/2010 19:09</td>\n",
       "      <td>Aral road/sarthe</td>\n",
       "      <td>Nou nan Sat, nan wout Aral. Nou pa jwenn oken ...</td>\n",
       "      <td>1. Urgences | Emergency, 7. Secours | Services...</td>\n",
       "      <td>18.587030</td>\n",
       "      <td>-72.306519</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>4021</td>\n",
       "      <td>school materials needed in Mirebalais</td>\n",
       "      <td>27/04/2010 14:44</td>\n",
       "      <td>Mirebalais</td>\n",
       "      <td>I'm Duclervil Saintody, principal of &amp;lt;Ecole...</td>\n",
       "      <td>1. Urgences | Emergency, 2. Urgences logistiqu...</td>\n",
       "      <td>18.825717</td>\n",
       "      <td>-72.103271</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>4020</td>\n",
       "      <td>Shelters needed for school in Dikini.</td>\n",
       "      <td>15/02/2010 10:30</td>\n",
       "      <td>Carrefour, zone Dikini, Ecole Henri Christophe</td>\n",
       "      <td>13727217] · If i want shelter for my school it...</td>\n",
       "      <td>2. Urgences logistiques | Vital Lines, 2d. Ref...</td>\n",
       "      <td>18.539838</td>\n",
       "      <td>-72.406425</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>4019</td>\n",
       "      <td>Shelter needed in Leogane.</td>\n",
       "      <td>27/04/2010 17:44</td>\n",
       "      <td>Leogane, area of Mapou bissonière</td>\n",
       "      <td>I am a person in charge of site to Leogane in ...</td>\n",
       "      <td>2. Urgences logistiques | Vital Lines, 2d. Ref...</td>\n",
       "      <td>18.497843</td>\n",
       "      <td>-72.649841</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>4018</td>\n",
       "      <td>Eliante Valentin</td>\n",
       "      <td>03/05/2010 20:05</td>\n",
       "      <td>664 Blv. Jean Jacques Dessalines, Port-au-Prin...</td>\n",
       "      <td>SOS ! HELP! Eliante Valentin (sleeping in fron...</td>\n",
       "      <td>2d. Refuge | Shelter needed, 2a. Penurie d'ali...</td>\n",
       "      <td>18.539167</td>\n",
       "      <td>-72.335000</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>4010</td>\n",
       "      <td>Starvation in La Gonave</td>\n",
       "      <td>28/01/2010 10:38</td>\n",
       "      <td>There was no specific location within the Island</td>\n",
       "      <td>Please, can we still be counted as victims of ...</td>\n",
       "      <td>2. Urgences logistiques | Vital Lines, 2a. Pen...</td>\n",
       "      <td>18.829100</td>\n",
       "      <td>-73.015000</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>4009</td>\n",
       "      <td>children  need help, in Corail, Jeremie.</td>\n",
       "      <td>27/03/2010 15:52</td>\n",
       "      <td>Corail, Jeremie</td>\n",
       "      <td>[13727646] · Good morning, it's urgences,urgen...</td>\n",
       "      <td>1b. Urgence medicale | Medical Emergency, 2. U...</td>\n",
       "      <td>18.650000</td>\n",
       "      <td>-74.116667</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>4008</td>\n",
       "      <td>Water desperately needed in Delmas 3</td>\n",
       "      <td>19/04/2010 20:28</td>\n",
       "      <td>IDP camp in Delmas 3, Cite Numero Un</td>\n",
       "      <td>Please thirst is killing us in Delma 3 Idalina...</td>\n",
       "      <td>2. Urgences logistiques | Vital Lines, 2b. Pen...</td>\n",
       "      <td>18.558600</td>\n",
       "      <td>-72.321800</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>4007</td>\n",
       "      <td>Tent needed in Santo 6</td>\n",
       "      <td>02/04/2010 17:10</td>\n",
       "      <td>Santo 6</td>\n",
       "      <td>iv, santo 6 I would like us me messenger the g...</td>\n",
       "      <td>2. Urgences logistiques | Vital Lines, 2d. Ref...</td>\n",
       "      <td>18.602720</td>\n",
       "      <td>-72.270760</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>4006</td>\n",
       "      <td>Electricity needed in Marin</td>\n",
       "      <td>06/04/2010 10:34</td>\n",
       "      <td>It's not clear where &amp;quot;la plaine&amp;quot; is ...</td>\n",
       "      <td>people of the area laplaine in marin needs ele...</td>\n",
       "      <td>2. Urgences logistiques | Vital Lines, 2f. San...</td>\n",
       "      <td>18.605600</td>\n",
       "      <td>-72.282400</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>4005</td>\n",
       "      <td>Help needed on Delmas 9</td>\n",
       "      <td>06/04/2010 20:02</td>\n",
       "      <td>Intersection of Delmas 9 and Rue De Cosquer</td>\n",
       "      <td>Help for Delmas 9 impasse Cosquer. \\n\\nIDUshah...</td>\n",
       "      <td>2. Urgences logistiques | Vital Lines,</td>\n",
       "      <td>18.554980</td>\n",
       "      <td>-72.318580</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3563</th>\n",
       "      <td>33</td>\n",
       "      <td>Buses between Les Cayes and PAP getting through</td>\n",
       "      <td>13/01/2010 03:19</td>\n",
       "      <td>Les Cayes, Haiti</td>\n",
       "      <td>Buses between Les Cayes and PAP getting throug...</td>\n",
       "      <td>8. Autre | Other,</td>\n",
       "      <td>18.190359</td>\n",
       "      <td>-73.748291</td>\n",
       "      <td>YES</td>\n",
       "      <td>YES</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3564</th>\n",
       "      <td>32</td>\n",
       "      <td>Looking for UN Member</td>\n",
       "      <td>13/01/2010 02:18</td>\n",
       "      <td>port-au-prince</td>\n",
       "      <td>help!!! ask for information!\\n\\n\\ni need infor...</td>\n",
       "      <td>8e. Nouvelles de Personnes | Persons News,</td>\n",
       "      <td>18.539269</td>\n",
       "      <td>-72.336408</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3565</th>\n",
       "      <td>31</td>\n",
       "      <td>The tax office has collapsed</td>\n",
       "      <td>13/01/2010 04:00</td>\n",
       "      <td>Port-au-Prince</td>\n",
       "      <td>&amp;quot;President Rene Preval (...) told the Mia...</td>\n",
       "      <td>1. Urgences | Emergency, 5a. Structure effondr...</td>\n",
       "      <td>18.539167</td>\n",
       "      <td>-72.335000</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3566</th>\n",
       "      <td>30</td>\n",
       "      <td>Parliament has collapsed</td>\n",
       "      <td>13/01/2010 03:56</td>\n",
       "      <td>Port-au-Prince</td>\n",
       "      <td>&amp;quot;President Rene Preval (...) told the Mia...</td>\n",
       "      <td>1. Urgences | Emergency, 5a. Structure effondr...</td>\n",
       "      <td>18.539167</td>\n",
       "      <td>-72.335000</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3567</th>\n",
       "      <td>29</td>\n",
       "      <td>Found - James Colin, Alourdes Thomas Colin, Xa...</td>\n",
       "      <td>13/01/2010 12:44</td>\n",
       "      <td>rue malval</td>\n",
       "      <td>#9 rue malval, turgeau.  please post updates. ...</td>\n",
       "      <td>8e. Nouvelles de Personnes | Persons News,</td>\n",
       "      <td>18.530591</td>\n",
       "      <td>-72.327731</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3568</th>\n",
       "      <td>28</td>\n",
       "      <td>Looking for the Dorce Family</td>\n",
       "      <td>13/01/2010 12:59</td>\n",
       "      <td>tabarre, haiti</td>\n",
       "      <td>RT @saskwatch: Looking for the Dorce Family ht...</td>\n",
       "      <td>8e. Nouvelles de Personnes | Persons News,</td>\n",
       "      <td>18.583333</td>\n",
       "      <td>-72.266667</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3569</th>\n",
       "      <td>27</td>\n",
       "      <td>Trapped in building</td>\n",
       "      <td>13/01/2010 01:31</td>\n",
       "      <td>Mont Joli-Turgeau , 8 rue Mont-Joli Turgeau</td>\n",
       "      <td>To anyone in the MontJoli-Turgeau area....Jean...</td>\n",
       "      <td>1c. Personnes prises au piege | People trapped,</td>\n",
       "      <td>18.535200</td>\n",
       "      <td>-72.332954</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3570</th>\n",
       "      <td>26</td>\n",
       "      <td>More photos and videos of earthquake aftermath</td>\n",
       "      <td>13/01/2010 12:41</td>\n",
       "      <td>Port-au-Prince</td>\n",
       "      <td>http://www.jlaforums.com/viewtopic.php?t=20778...</td>\n",
       "      <td>8. Autre | Other,</td>\n",
       "      <td>18.539167</td>\n",
       "      <td>-72.335000</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3571</th>\n",
       "      <td>25</td>\n",
       "      <td>Post-earthquake footage</td>\n",
       "      <td>12/01/2010 07:59</td>\n",
       "      <td>Port-Au-Prince</td>\n",
       "      <td>RT @caribnews: JUST IN: #Haiti earthquake foot...</td>\n",
       "      <td>8. Autre | Other, 6c. Seisme et repliques | Ea...</td>\n",
       "      <td>18.508912</td>\n",
       "      <td>-72.325058</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3572</th>\n",
       "      <td>24</td>\n",
       "      <td>Earth quake SERIAL!</td>\n",
       "      <td>13/01/2010 06:33</td>\n",
       "      <td>Haiti</td>\n",
       "      <td>Yes, there was one quake 7.0 But there is an o...</td>\n",
       "      <td>6c. Seisme et repliques | Earthquake and after...</td>\n",
       "      <td>18.479609</td>\n",
       "      <td>-72.312012</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3573</th>\n",
       "      <td>23</td>\n",
       "      <td>The National Palace, Before &amp;amp; After</td>\n",
       "      <td>13/01/2010 11:00</td>\n",
       "      <td>National Palace, Avenue de la Liberte Port-au-...</td>\n",
       "      <td>RT @AVGVST: A jarring visual - The Presidentia...</td>\n",
       "      <td>5a. Structure effondres | Collapsed structure,...</td>\n",
       "      <td>18.543012</td>\n",
       "      <td>-72.338490</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3574</th>\n",
       "      <td>22</td>\n",
       "      <td>Over 100 UN personnel trapped in collapsed HQ</td>\n",
       "      <td>13/01/2010 11:01</td>\n",
       "      <td>UN Headquarters, Port-au-Prince</td>\n",
       "      <td>RT @zaibatsu: Over 100 #UN personnel trapped i...</td>\n",
       "      <td>5a. Structure effondres | Collapsed structure,...</td>\n",
       "      <td>18.518516</td>\n",
       "      <td>-72.300510</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3575</th>\n",
       "      <td>21</td>\n",
       "      <td>Ruined school</td>\n",
       "      <td>13/01/2010 06:09</td>\n",
       "      <td>Jacmel</td>\n",
       "      <td>Ruined school</td>\n",
       "      <td>5a. Structure effondres | Collapsed structure,</td>\n",
       "      <td>18.234167</td>\n",
       "      <td>-72.534722</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3576</th>\n",
       "      <td>20</td>\n",
       "      <td>PAP Airport</td>\n",
       "      <td>13/01/2010 10:53</td>\n",
       "      <td>PAP Airport, Port-Au-Prince</td>\n",
       "      <td>PAP Airport</td>\n",
       "      <td>5b. Structures a risque | Unstable Structure, ...</td>\n",
       "      <td>18.575394</td>\n",
       "      <td>-72.294710</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3577</th>\n",
       "      <td>19</td>\n",
       "      <td>Hospital du Canape Vert</td>\n",
       "      <td>13/01/2010 10:51</td>\n",
       "      <td>Hospital du Canape Vert</td>\n",
       "      <td>Hospital providing emergency relief following ...</td>\n",
       "      <td>7d. Services de sante | Hospital/Clinics Opera...</td>\n",
       "      <td>18.533328</td>\n",
       "      <td>-72.316604</td>\n",
       "      <td>YES</td>\n",
       "      <td>YES</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3578</th>\n",
       "      <td>18</td>\n",
       "      <td>Hospital Frances</td>\n",
       "      <td>13/01/2010 11:46</td>\n",
       "      <td>Port-au-Prince</td>\n",
       "      <td>Hospital providing emergency relief following ...</td>\n",
       "      <td>7d. Services de sante | Hospital/Clinics Opera...</td>\n",
       "      <td>18.537641</td>\n",
       "      <td>-72.340894</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3579</th>\n",
       "      <td>17</td>\n",
       "      <td>Hospital Universitario De Haiti</td>\n",
       "      <td>13/01/2010 11:42</td>\n",
       "      <td>Hospital Universitario De Haiti</td>\n",
       "      <td>Hospital providing emergency relief following ...</td>\n",
       "      <td>7d. Services de sante | Hospital/Clinics Opera...</td>\n",
       "      <td>18.539675</td>\n",
       "      <td>-72.340336</td>\n",
       "      <td>YES</td>\n",
       "      <td>YES</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3580</th>\n",
       "      <td>16</td>\n",
       "      <td>Magnitude 7.0, 2010 January 12 21:53:09 UTC</td>\n",
       "      <td>12/01/2010 04:53</td>\n",
       "      <td>Chauflard</td>\n",
       "      <td>Location: 18.451°N, 72.445°W\\nDepth: 10 km (6....</td>\n",
       "      <td>6c. Seisme et repliques | Earthquake and after...</td>\n",
       "      <td>18.465589</td>\n",
       "      <td>-72.412499</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3581</th>\n",
       "      <td>15</td>\n",
       "      <td>Karibe Hotel Collapsed</td>\n",
       "      <td>13/01/2010 10:57</td>\n",
       "      <td>Karibe Hotel, Juvenat 7 Petion-Ville, HAITI (n...</td>\n",
       "      <td>The Karibe Hotel and ajoining apartments have ...</td>\n",
       "      <td>5a. Structure effondres | Collapsed structure,...</td>\n",
       "      <td>18.519330</td>\n",
       "      <td>-72.301626</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3582</th>\n",
       "      <td>14</td>\n",
       "      <td>MSF Teams Set up Clinics to Treat Injured</td>\n",
       "      <td>13/01/2010 11:01</td>\n",
       "      <td>Port-au-Prince</td>\n",
       "      <td>The Martissant health center in a poor area of...</td>\n",
       "      <td>7d. Services de sante | Hospital/Clinics Opera...</td>\n",
       "      <td>18.553183</td>\n",
       "      <td>-72.335100</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3583</th>\n",
       "      <td>13</td>\n",
       "      <td>Prisoners escaped from collapsed prison</td>\n",
       "      <td>13/01/2010 10:31</td>\n",
       "      <td>Pénitencier National</td>\n",
       "      <td>CNN International receiving reports from UN th...</td>\n",
       "      <td>5a. Structure effondres | Collapsed structure,...</td>\n",
       "      <td>18.539167</td>\n",
       "      <td>-72.335000</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3584</th>\n",
       "      <td>12</td>\n",
       "      <td>Hotel Montana Collapsed</td>\n",
       "      <td>13/01/2010 09:03</td>\n",
       "      <td>Pétionville</td>\n",
       "      <td>Hotel Montana at Rue Franck Cardozo in Petionv...</td>\n",
       "      <td>5a. Structure effondres | Collapsed structure,...</td>\n",
       "      <td>18.529556</td>\n",
       "      <td>-72.337876</td>\n",
       "      <td>YES</td>\n",
       "      <td>YES</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3585</th>\n",
       "      <td>11</td>\n",
       "      <td>Haiti: Earthquake - Jan 2010 / SiRep</td>\n",
       "      <td>12/01/2010 04:53</td>\n",
       "      <td>17km south-west of Port-au-Prince (18.45N, 72....</td>\n",
       "      <td>This report was issued by the Office of the Co...</td>\n",
       "      <td>6c. Seisme et repliques | Earthquake and after...</td>\n",
       "      <td>18.484819</td>\n",
       "      <td>-72.336731</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3586</th>\n",
       "      <td>10</td>\n",
       "      <td>Photos haiti earthquake</td>\n",
       "      <td>12/01/2010 08:01</td>\n",
       "      <td>Port-au-Prince</td>\n",
       "      <td>RT @LATimesPhotos: PHOTOS Haiti earthquake htt...</td>\n",
       "      <td>1. Urgences | Emergency, 5a. Structure effondr...</td>\n",
       "      <td>18.539269</td>\n",
       "      <td>-72.336408</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3587</th>\n",
       "      <td>9</td>\n",
       "      <td>Your Haiti earthquake photos - Washington Post</td>\n",
       "      <td>12/01/2010 07:35</td>\n",
       "      <td>port-au-prince</td>\n",
       "      <td>Photos from the Washington Post</td>\n",
       "      <td>1. Urgences | Emergency,</td>\n",
       "      <td>18.539269</td>\n",
       "      <td>-72.336408</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3588</th>\n",
       "      <td>8</td>\n",
       "      <td>Canape Vert road destroyed</td>\n",
       "      <td>13/01/2010 02:57</td>\n",
       "      <td>Port-au-Prince</td>\n",
       "      <td>Canape Vert, one of the main roads that leads ...</td>\n",
       "      <td>5c. Route barree | Road blocked,</td>\n",
       "      <td>18.539167</td>\n",
       "      <td>-72.335000</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3589</th>\n",
       "      <td>7</td>\n",
       "      <td>Collapsed Building -- People Trapped</td>\n",
       "      <td>12/01/2010 09:55</td>\n",
       "      <td>Delmas 19, Rue Mackendal #8 Port-au-Prince, Haiti</td>\n",
       "      <td>My mother is part of a medical team that had j...</td>\n",
       "      <td>5a. Structure effondres | Collapsed structure,...</td>\n",
       "      <td>18.539269</td>\n",
       "      <td>-72.336408</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3590</th>\n",
       "      <td>6</td>\n",
       "      <td>Eye-Witness Report from Hotel Oloffson</td>\n",
       "      <td>12/01/2010 11:16</td>\n",
       "      <td>Ave Christophe #60, Port au Prince, Haiti</td>\n",
       "      <td>Tequila Minsky, a New York-based photographer ...</td>\n",
       "      <td>5a. Structure effondres | Collapsed structure,</td>\n",
       "      <td>18.538328</td>\n",
       "      <td>-72.333067</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3591</th>\n",
       "      <td>5</td>\n",
       "      <td>Port-au-Prince air traffic control tower damag...</td>\n",
       "      <td>12/01/2010 04:08</td>\n",
       "      <td>Airport, Port-au-Prince, Haiti</td>\n",
       "      <td>NBC reports Port-au-Prince air traffic control...</td>\n",
       "      <td>5b. Structures a risque | Unstable Structure,</td>\n",
       "      <td>18.579721</td>\n",
       "      <td>-72.292778</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3592</th>\n",
       "      <td>4</td>\n",
       "      <td>National Palace damaged</td>\n",
       "      <td>12/01/2010 10:43</td>\n",
       "      <td>National Palace</td>\n",
       "      <td>National Palace has extensive damage. Presiden...</td>\n",
       "      <td>5a. Structure effondres | Collapsed structure,</td>\n",
       "      <td>18.543376</td>\n",
       "      <td>-72.338883</td>\n",
       "      <td>YES</td>\n",
       "      <td>YES</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3593 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Serial                                     INCIDENT TITLE  \\\n",
       "0       4052  * URGENT * Type O blood donations needed in #J...   \n",
       "1       4051                     Food-Aid sent to Fondwa, Haiti   \n",
       "2       4050  how haiti is right now and how it was during t...   \n",
       "3       4049                                        Lost person   \n",
       "4       4042                                 Citi Soleil school   \n",
       "5       4041                           Radio Commerce in Sarthe   \n",
       "6       4040                   Contaminated water in Baraderes.   \n",
       "7       4039     Violence at &quot;arcahaie bas Saint-Ard&quot;   \n",
       "8       4038                          No electricity in pernier   \n",
       "9       4037  Shelter and food needed at Lamentin 54 and Rue...   \n",
       "10      4036  Food needed, House collapsed in 1ere Section S...   \n",
       "11      4035                      Clogged toilet in canape vert   \n",
       "12      4034  Tent shelter and food needed on Lapot St. Carr...   \n",
       "13      4033                           Help needed in Brochette   \n",
       "14      4031  Victims of Sexual Assault in Champs-de-Mars Sh...   \n",
       "15      4030               Help needed in 1ere section, Leogane   \n",
       "16      4029   Food /water  and  medicals supplies/ petit-goave   \n",
       "17      4027              Medical attention needed on Delmas 41   \n",
       "18      4025      Water needed for woman and child on Delmas 72   \n",
       "19      4024                 needed help on anything/ Aral road   \n",
       "20      4021              school materials needed in Mirebalais   \n",
       "21      4020              Shelters needed for school in Dikini.   \n",
       "22      4019                         Shelter needed in Leogane.   \n",
       "23      4018                                   Eliante Valentin   \n",
       "24      4010                            Starvation in La Gonave   \n",
       "25      4009           children  need help, in Corail, Jeremie.   \n",
       "26      4008               Water desperately needed in Delmas 3   \n",
       "27      4007                             Tent needed in Santo 6   \n",
       "28      4006                        Electricity needed in Marin   \n",
       "29      4005                            Help needed on Delmas 9   \n",
       "...      ...                                                ...   \n",
       "3563      33    Buses between Les Cayes and PAP getting through   \n",
       "3564      32                              Looking for UN Member   \n",
       "3565      31                       The tax office has collapsed   \n",
       "3566      30                           Parliament has collapsed   \n",
       "3567      29  Found - James Colin, Alourdes Thomas Colin, Xa...   \n",
       "3568      28                       Looking for the Dorce Family   \n",
       "3569      27                                Trapped in building   \n",
       "3570      26     More photos and videos of earthquake aftermath   \n",
       "3571      25                            Post-earthquake footage   \n",
       "3572      24                                Earth quake SERIAL!   \n",
       "3573      23            The National Palace, Before &amp; After   \n",
       "3574      22      Over 100 UN personnel trapped in collapsed HQ   \n",
       "3575      21                                      Ruined school   \n",
       "3576      20                                        PAP Airport   \n",
       "3577      19                            Hospital du Canape Vert   \n",
       "3578      18                                   Hospital Frances   \n",
       "3579      17                    Hospital Universitario De Haiti   \n",
       "3580      16        Magnitude 7.0, 2010 January 12 21:53:09 UTC   \n",
       "3581      15                             Karibe Hotel Collapsed   \n",
       "3582      14          MSF Teams Set up Clinics to Treat Injured   \n",
       "3583      13            Prisoners escaped from collapsed prison   \n",
       "3584      12                            Hotel Montana Collapsed   \n",
       "3585      11               Haiti: Earthquake - Jan 2010 / SiRep   \n",
       "3586      10                            Photos haiti earthquake   \n",
       "3587       9     Your Haiti earthquake photos - Washington Post   \n",
       "3588       8                         Canape Vert road destroyed   \n",
       "3589       7               Collapsed Building -- People Trapped   \n",
       "3590       6             Eye-Witness Report from Hotel Oloffson   \n",
       "3591       5  Port-au-Prince air traffic control tower damag...   \n",
       "3592       4                            National Palace damaged   \n",
       "\n",
       "         INCIDENT DATE                                           LOCATION  \\\n",
       "0     05/07/2010 17:26                                      Jacmel, Haiti   \n",
       "1     28/06/2010 23:06                                             fondwa   \n",
       "2     24/06/2010 16:21                                            centrie   \n",
       "3     20/06/2010 21:59                                             Genoca   \n",
       "4     18/05/2010 16:26                                 Citi Soleil, Haiti   \n",
       "5     26/04/2010 13:14                     Radio Commerce Shelter, Sarthe   \n",
       "6     26/04/2010 14:19                                Marc near Baraderes   \n",
       "7     26/04/2010 14:27  unable to find &quot;arcahaie bas Saint-Ard&qu...   \n",
       "8     15/03/2010 10:58                                            Pernier   \n",
       "9     15/03/2010 11:00       Intersection of Lamentin 54 and Rue St Juste   \n",
       "10    15/03/2010 14:18  Assumed 1ere Section Salagnac and Salagnac de ...   \n",
       "11    19/03/2010 10:19                                        Canape Vert   \n",
       "12    22/03/2010 10:49         unable to find street, mapped to Carrefour   \n",
       "13    17/03/2010 13:40         Brochette 99, Brochette, west of Carrefour   \n",
       "14    16/04/2010 14:45              provisional shleter on Champs-de-Mars   \n",
       "15    26/04/2010 14:26  &quot;corail le maire&quot;  in 1st section de...   \n",
       "16    26/04/2010 12:37                                        petit goave   \n",
       "17    26/04/2010 16:12                                          Delmas 41   \n",
       "18    28/01/2010 22:38                                      Rte Delmas 72   \n",
       "19    22/01/2010 19:09                                   Aral road/sarthe   \n",
       "20    27/04/2010 14:44                                         Mirebalais   \n",
       "21    15/02/2010 10:30     Carrefour, zone Dikini, Ecole Henri Christophe   \n",
       "22    27/04/2010 17:44                  Leogane, area of Mapou bissonière   \n",
       "23    03/05/2010 20:05  664 Blv. Jean Jacques Dessalines, Port-au-Prin...   \n",
       "24    28/01/2010 10:38   There was no specific location within the Island   \n",
       "25    27/03/2010 15:52                                    Corail, Jeremie   \n",
       "26    19/04/2010 20:28               IDP camp in Delmas 3, Cite Numero Un   \n",
       "27    02/04/2010 17:10                                            Santo 6   \n",
       "28    06/04/2010 10:34  It's not clear where &quot;la plaine&quot; is ...   \n",
       "29    06/04/2010 20:02        Intersection of Delmas 9 and Rue De Cosquer   \n",
       "...                ...                                                ...   \n",
       "3563  13/01/2010 03:19                                   Les Cayes, Haiti   \n",
       "3564  13/01/2010 02:18                                     port-au-prince   \n",
       "3565  13/01/2010 04:00                                     Port-au-Prince   \n",
       "3566  13/01/2010 03:56                                     Port-au-Prince   \n",
       "3567  13/01/2010 12:44                                         rue malval   \n",
       "3568  13/01/2010 12:59                                     tabarre, haiti   \n",
       "3569  13/01/2010 01:31        Mont Joli-Turgeau , 8 rue Mont-Joli Turgeau   \n",
       "3570  13/01/2010 12:41                                     Port-au-Prince   \n",
       "3571  12/01/2010 07:59                                     Port-Au-Prince   \n",
       "3572  13/01/2010 06:33                                              Haiti   \n",
       "3573  13/01/2010 11:00  National Palace, Avenue de la Liberte Port-au-...   \n",
       "3574  13/01/2010 11:01                    UN Headquarters, Port-au-Prince   \n",
       "3575  13/01/2010 06:09                                             Jacmel   \n",
       "3576  13/01/2010 10:53                        PAP Airport, Port-Au-Prince   \n",
       "3577  13/01/2010 10:51                            Hospital du Canape Vert   \n",
       "3578  13/01/2010 11:46                                     Port-au-Prince   \n",
       "3579  13/01/2010 11:42                    Hospital Universitario De Haiti   \n",
       "3580  12/01/2010 04:53                                          Chauflard   \n",
       "3581  13/01/2010 10:57  Karibe Hotel, Juvenat 7 Petion-Ville, HAITI (n...   \n",
       "3582  13/01/2010 11:01                                     Port-au-Prince   \n",
       "3583  13/01/2010 10:31                               Pénitencier National   \n",
       "3584  13/01/2010 09:03                                        Pétionville   \n",
       "3585  12/01/2010 04:53  17km south-west of Port-au-Prince (18.45N, 72....   \n",
       "3586  12/01/2010 08:01                                     Port-au-Prince   \n",
       "3587  12/01/2010 07:35                                     port-au-prince   \n",
       "3588  13/01/2010 02:57                                     Port-au-Prince   \n",
       "3589  12/01/2010 09:55  Delmas 19, Rue Mackendal #8 Port-au-Prince, Haiti   \n",
       "3590  12/01/2010 11:16          Ave Christophe #60, Port au Prince, Haiti   \n",
       "3591  12/01/2010 04:08                     Airport, Port-au-Prince, Haiti   \n",
       "3592  12/01/2010 10:43                                    National Palace   \n",
       "\n",
       "                                            DESCRIPTION  \\\n",
       "0     Birthing Clinic in Jacmel #Haiti urgently need...   \n",
       "1     Please help food-aid.org deliver more food to ...   \n",
       "2     i feel so bad for you i know i am supposed to ...   \n",
       "3     We are family members of Juan Antonio Zuniga O...   \n",
       "4     We are working with Haitian (NGO) -The Christi...   \n",
       "5     i'm Louinel from Sarthe. I'd to know what can ...   \n",
       "6     How do we treat water in areas without Pipe?\\t...   \n",
       "7     Goodnight at (arcahaie bas Saint-Ard) 2 young ...   \n",
       "8     why the people who lives in pernier doesn't fi...   \n",
       "9     GOOD EVENING ONG, I'M VERY HAPPY FOR THE AID Y...   \n",
       "10    i'm living in Nip Department, First section sa...   \n",
       "11    Please give the message for with the concern O...   \n",
       "12    We need tent, cover, rice. Uneted Nation never...   \n",
       "13    We live in brochette 99, we don't find any hel...   \n",
       "14    if women and children are victim of rape or ot...   \n",
       "15    TO WHOM IT MAY CONCERN, PLEASE HELP US WE ARE ...   \n",
       "16    [13709949] · we are suffering in the area &quo...   \n",
       "17    I am mikaelle I need to know where the hospita...   \n",
       "18    english:\\t\\nNeed help. I have a 1 year old chi...   \n",
       "19    Nou nan Sat, nan wout Aral. Nou pa jwenn oken ...   \n",
       "20    I'm Duclervil Saintody, principal of &lt;Ecole...   \n",
       "21    13727217] · If i want shelter for my school it...   \n",
       "22    I am a person in charge of site to Leogane in ...   \n",
       "23    SOS ! HELP! Eliante Valentin (sleeping in fron...   \n",
       "24    Please, can we still be counted as victims of ...   \n",
       "25    [13727646] · Good morning, it's urgences,urgen...   \n",
       "26    Please thirst is killing us in Delma 3 Idalina...   \n",
       "27    iv, santo 6 I would like us me messenger the g...   \n",
       "28    people of the area laplaine in marin needs ele...   \n",
       "29    Help for Delmas 9 impasse Cosquer. \\n\\nIDUshah...   \n",
       "...                                                 ...   \n",
       "3563  Buses between Les Cayes and PAP getting throug...   \n",
       "3564  help!!! ask for information!\\n\\n\\ni need infor...   \n",
       "3565  &quot;President Rene Preval (...) told the Mia...   \n",
       "3566  &quot;President Rene Preval (...) told the Mia...   \n",
       "3567  #9 rue malval, turgeau.  please post updates. ...   \n",
       "3568  RT @saskwatch: Looking for the Dorce Family ht...   \n",
       "3569  To anyone in the MontJoli-Turgeau area....Jean...   \n",
       "3570  http://www.jlaforums.com/viewtopic.php?t=20778...   \n",
       "3571  RT @caribnews: JUST IN: #Haiti earthquake foot...   \n",
       "3572  Yes, there was one quake 7.0 But there is an o...   \n",
       "3573  RT @AVGVST: A jarring visual - The Presidentia...   \n",
       "3574  RT @zaibatsu: Over 100 #UN personnel trapped i...   \n",
       "3575                                      Ruined school   \n",
       "3576                                        PAP Airport   \n",
       "3577  Hospital providing emergency relief following ...   \n",
       "3578  Hospital providing emergency relief following ...   \n",
       "3579  Hospital providing emergency relief following ...   \n",
       "3580  Location: 18.451°N, 72.445°W\\nDepth: 10 km (6....   \n",
       "3581  The Karibe Hotel and ajoining apartments have ...   \n",
       "3582  The Martissant health center in a poor area of...   \n",
       "3583  CNN International receiving reports from UN th...   \n",
       "3584  Hotel Montana at Rue Franck Cardozo in Petionv...   \n",
       "3585  This report was issued by the Office of the Co...   \n",
       "3586  RT @LATimesPhotos: PHOTOS Haiti earthquake htt...   \n",
       "3587                    Photos from the Washington Post   \n",
       "3588  Canape Vert, one of the main roads that leads ...   \n",
       "3589  My mother is part of a medical team that had j...   \n",
       "3590  Tequila Minsky, a New York-based photographer ...   \n",
       "3591  NBC reports Port-au-Prince air traffic control...   \n",
       "3592  National Palace has extensive damage. Presiden...   \n",
       "\n",
       "                                               CATEGORY   LATITUDE  \\\n",
       "0           1. Urgences | Emergency, 3. Public Health,   18.233333   \n",
       "1     1. Urgences | Emergency, 2. Urgences logistiqu...  50.226029   \n",
       "2     2. Urgences logistiques | Vital Lines, 8. Autr...  22.278381   \n",
       "3                             1. Urgences | Emergency,   44.407062   \n",
       "4                             1. Urgences | Emergency,   18.571084   \n",
       "5                        5e. Communication lines down,   18.593707   \n",
       "6     4. Menaces | Security Threats, 4e. Assainissem...  18.482800   \n",
       "7                       4. Menaces | Security Threats,   18.415000   \n",
       "8     2. Urgences logistiques | Vital Lines, 2f. San...  18.517443   \n",
       "9     2. Urgences logistiques | Vital Lines, 2d. Ref...  18.547790   \n",
       "10    1a. Highly vulnerable, 2. Urgences logistiques...  18.415000   \n",
       "11    4. Menaces | Security Threats, 4e. Assainissem...  18.539513   \n",
       "12    2. Urgences logistiques | Vital Lines, 2d. Ref...  18.534260   \n",
       "13    2. Urgences logistiques | Vital Lines, 2b. Pen...  18.525190   \n",
       "14                                   3. Public Health,   18.542300   \n",
       "15              2. Urgences logistiques | Vital Lines,   18.499145   \n",
       "16    1. Urgences | Emergency, 7. Secours | Services...  18.426199   \n",
       "17           3. Public Health, 3b. Chronic care needs,   18.547300   \n",
       "18    2. Urgences logistiques | Vital Lines, 2b. Pen...  18.519200   \n",
       "19    1. Urgences | Emergency, 7. Secours | Services...  18.587030   \n",
       "20    1. Urgences | Emergency, 2. Urgences logistiqu...  18.825717   \n",
       "21    2. Urgences logistiques | Vital Lines, 2d. Ref...  18.539838   \n",
       "22    2. Urgences logistiques | Vital Lines, 2d. Ref...  18.497843   \n",
       "23    2d. Refuge | Shelter needed, 2a. Penurie d'ali...  18.539167   \n",
       "24    2. Urgences logistiques | Vital Lines, 2a. Pen...  18.829100   \n",
       "25    1b. Urgence medicale | Medical Emergency, 2. U...  18.650000   \n",
       "26    2. Urgences logistiques | Vital Lines, 2b. Pen...  18.558600   \n",
       "27    2. Urgences logistiques | Vital Lines, 2d. Ref...  18.602720   \n",
       "28    2. Urgences logistiques | Vital Lines, 2f. San...  18.605600   \n",
       "29              2. Urgences logistiques | Vital Lines,   18.554980   \n",
       "...                                                 ...        ...   \n",
       "3563                                 8. Autre | Other,   18.190359   \n",
       "3564        8e. Nouvelles de Personnes | Persons News,   18.539269   \n",
       "3565  1. Urgences | Emergency, 5a. Structure effondr...  18.539167   \n",
       "3566  1. Urgences | Emergency, 5a. Structure effondr...  18.539167   \n",
       "3567        8e. Nouvelles de Personnes | Persons News,   18.530591   \n",
       "3568        8e. Nouvelles de Personnes | Persons News,   18.583333   \n",
       "3569   1c. Personnes prises au piege | People trapped,   18.535200   \n",
       "3570                                 8. Autre | Other,   18.539167   \n",
       "3571  8. Autre | Other, 6c. Seisme et repliques | Ea...  18.508912   \n",
       "3572  6c. Seisme et repliques | Earthquake and after...  18.479609   \n",
       "3573  5a. Structure effondres | Collapsed structure,...  18.543012   \n",
       "3574  5a. Structure effondres | Collapsed structure,...  18.518516   \n",
       "3575    5a. Structure effondres | Collapsed structure,   18.234167   \n",
       "3576  5b. Structures a risque | Unstable Structure, ...  18.575394   \n",
       "3577  7d. Services de sante | Hospital/Clinics Opera...  18.533328   \n",
       "3578  7d. Services de sante | Hospital/Clinics Opera...  18.537641   \n",
       "3579  7d. Services de sante | Hospital/Clinics Opera...  18.539675   \n",
       "3580  6c. Seisme et repliques | Earthquake and after...  18.465589   \n",
       "3581  5a. Structure effondres | Collapsed structure,...  18.519330   \n",
       "3582  7d. Services de sante | Hospital/Clinics Opera...  18.553183   \n",
       "3583  5a. Structure effondres | Collapsed structure,...  18.539167   \n",
       "3584  5a. Structure effondres | Collapsed structure,...  18.529556   \n",
       "3585  6c. Seisme et repliques | Earthquake and after...  18.484819   \n",
       "3586  1. Urgences | Emergency, 5a. Structure effondr...  18.539269   \n",
       "3587                          1. Urgences | Emergency,   18.539269   \n",
       "3588                  5c. Route barree | Road blocked,   18.539167   \n",
       "3589  5a. Structure effondres | Collapsed structure,...  18.539269   \n",
       "3590    5a. Structure effondres | Collapsed structure,   18.538328   \n",
       "3591     5b. Structures a risque | Unstable Structure,   18.579721   \n",
       "3592    5a. Structure effondres | Collapsed structure,   18.543376   \n",
       "\n",
       "       LONGITUDE APPROVED VERIFIED  \n",
       "0     -72.533333      YES       NO  \n",
       "1       5.729886       NO       NO  \n",
       "2     114.174287       NO       NO  \n",
       "3       8.933989       NO       NO  \n",
       "4     -72.334671      YES       NO  \n",
       "5     -72.310079      YES       NO  \n",
       "6     -73.638800      YES       NO  \n",
       "7     -73.195000      YES       NO  \n",
       "8     -72.236841      YES       NO  \n",
       "9     -72.410010      YES       NO  \n",
       "10    -73.195000      YES       NO  \n",
       "11    -72.327118      YES       NO  \n",
       "12    -72.408960      YES       NO  \n",
       "13    -72.458954      YES       NO  \n",
       "14    -72.336200      YES       NO  \n",
       "15    -72.651215      YES       NO  \n",
       "16    -72.818756      YES       NO  \n",
       "17    -72.301000      YES       NO  \n",
       "18    -72.283100      YES       NO  \n",
       "19    -72.306519      YES       NO  \n",
       "20    -72.103271      YES       NO  \n",
       "21    -72.406425      YES       NO  \n",
       "22    -72.649841      YES       NO  \n",
       "23    -72.335000      YES       NO  \n",
       "24    -73.015000      YES       NO  \n",
       "25    -74.116667      YES       NO  \n",
       "26    -72.321800      YES       NO  \n",
       "27    -72.270760      YES       NO  \n",
       "28    -72.282400      YES       NO  \n",
       "29    -72.318580      YES       NO  \n",
       "...          ...      ...      ...  \n",
       "3563  -73.748291      YES      YES  \n",
       "3564  -72.336408      YES       NO  \n",
       "3565  -72.335000      YES       NO  \n",
       "3566  -72.335000      YES       NO  \n",
       "3567  -72.327731      YES       NO  \n",
       "3568  -72.266667      YES       NO  \n",
       "3569  -72.332954      YES       NO  \n",
       "3570  -72.335000      YES       NO  \n",
       "3571  -72.325058      YES       NO  \n",
       "3572  -72.312012      YES       NO  \n",
       "3573  -72.338490      YES       NO  \n",
       "3574  -72.300510      YES       NO  \n",
       "3575  -72.534722      YES       NO  \n",
       "3576  -72.294710      YES       NO  \n",
       "3577  -72.316604      YES      YES  \n",
       "3578  -72.340894      YES       NO  \n",
       "3579  -72.340336      YES      YES  \n",
       "3580  -72.412499      YES       NO  \n",
       "3581  -72.301626      YES       NO  \n",
       "3582  -72.335100      YES       NO  \n",
       "3583  -72.335000      YES       NO  \n",
       "3584  -72.337876      YES      YES  \n",
       "3585  -72.336731      YES       NO  \n",
       "3586  -72.336408      YES       NO  \n",
       "3587  -72.336408      YES       NO  \n",
       "3588  -72.335000      YES       NO  \n",
       "3589  -72.336408      YES       NO  \n",
       "3590  -72.333067      YES       NO  \n",
       "3591  -72.292778      YES       NO  \n",
       "3592  -72.338883      YES      YES  \n",
       "\n",
       "[3593 rows x 10 columns]"
      ]
     },
     "execution_count": 274,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 275,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>INCIDENT DATE</th>\n",
       "      <th>LATITUDE</th>\n",
       "      <th>LONGITUDE</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>05/07/2010 17:26</td>\n",
       "      <td>18.233333</td>\n",
       "      <td>-72.533333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>28/06/2010 23:06</td>\n",
       "      <td>50.226029</td>\n",
       "      <td>5.729886</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>24/06/2010 16:21</td>\n",
       "      <td>22.278381</td>\n",
       "      <td>114.174287</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>20/06/2010 21:59</td>\n",
       "      <td>44.407062</td>\n",
       "      <td>8.933989</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>18/05/2010 16:26</td>\n",
       "      <td>18.571084</td>\n",
       "      <td>-72.334671</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>26/04/2010 13:14</td>\n",
       "      <td>18.593707</td>\n",
       "      <td>-72.310079</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>26/04/2010 14:19</td>\n",
       "      <td>18.482800</td>\n",
       "      <td>-73.638800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>26/04/2010 14:27</td>\n",
       "      <td>18.415000</td>\n",
       "      <td>-73.195000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>15/03/2010 10:58</td>\n",
       "      <td>18.517443</td>\n",
       "      <td>-72.236841</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>15/03/2010 11:00</td>\n",
       "      <td>18.547790</td>\n",
       "      <td>-72.410010</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      INCIDENT DATE   LATITUDE   LONGITUDE\n",
       "0  05/07/2010 17:26  18.233333  -72.533333\n",
       "1  28/06/2010 23:06  50.226029    5.729886\n",
       "2  24/06/2010 16:21  22.278381  114.174287\n",
       "3  20/06/2010 21:59  44.407062    8.933989\n",
       "4  18/05/2010 16:26  18.571084  -72.334671\n",
       "5  26/04/2010 13:14  18.593707  -72.310079\n",
       "6  26/04/2010 14:19  18.482800  -73.638800\n",
       "7  26/04/2010 14:27  18.415000  -73.195000\n",
       "8  15/03/2010 10:58  18.517443  -72.236841\n",
       "9  15/03/2010 11:00  18.547790  -72.410010"
      ]
     },
     "execution_count": 275,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 每一行表示一条从某人的手机上发送的紧急或其他问题的报告，每条报告有一个时间戳和位置（经度和纬度）\n",
    "data[['INCIDENT DATE', 'LATITUDE', 'LONGITUDE']][:10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 276,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0             1. Urgences | Emergency, 3. Public Health, \n",
       "1       1. Urgences | Emergency, 2. Urgences logistiqu...\n",
       "2       2. Urgences logistiques | Vital Lines, 8. Autr...\n",
       "3                               1. Urgences | Emergency, \n",
       "4                               1. Urgences | Emergency, \n",
       "5                          5e. Communication lines down, \n",
       "6       4. Menaces | Security Threats, 4e. Assainissem...\n",
       "7                         4. Menaces | Security Threats, \n",
       "8       2. Urgences logistiques | Vital Lines, 2f. San...\n",
       "9       2. Urgences logistiques | Vital Lines, 2d. Ref...\n",
       "10      1a. Highly vulnerable, 2. Urgences logistiques...\n",
       "11      4. Menaces | Security Threats, 4e. Assainissem...\n",
       "12      2. Urgences logistiques | Vital Lines, 2d. Ref...\n",
       "13      2. Urgences logistiques | Vital Lines, 2b. Pen...\n",
       "14                                     3. Public Health, \n",
       "15                2. Urgences logistiques | Vital Lines, \n",
       "16      1. Urgences | Emergency, 7. Secours | Services...\n",
       "17             3. Public Health, 3b. Chronic care needs, \n",
       "18      2. Urgences logistiques | Vital Lines, 2b. Pen...\n",
       "19      1. Urgences | Emergency, 7. Secours | Services...\n",
       "20      1. Urgences | Emergency, 2. Urgences logistiqu...\n",
       "21      2. Urgences logistiques | Vital Lines, 2d. Ref...\n",
       "22      2. Urgences logistiques | Vital Lines, 2d. Ref...\n",
       "23      2d. Refuge | Shelter needed, 2a. Penurie d'ali...\n",
       "24      2. Urgences logistiques | Vital Lines, 2a. Pen...\n",
       "25      1b. Urgence medicale | Medical Emergency, 2. U...\n",
       "26      2. Urgences logistiques | Vital Lines, 2b. Pen...\n",
       "27      2. Urgences logistiques | Vital Lines, 2d. Ref...\n",
       "28      2. Urgences logistiques | Vital Lines, 2f. San...\n",
       "29                2. Urgences logistiques | Vital Lines, \n",
       "                              ...                        \n",
       "3563                                   8. Autre | Other, \n",
       "3564          8e. Nouvelles de Personnes | Persons News, \n",
       "3565    1. Urgences | Emergency, 5a. Structure effondr...\n",
       "3566    1. Urgences | Emergency, 5a. Structure effondr...\n",
       "3567          8e. Nouvelles de Personnes | Persons News, \n",
       "3568          8e. Nouvelles de Personnes | Persons News, \n",
       "3569     1c. Personnes prises au piege | People trapped, \n",
       "3570                                   8. Autre | Other, \n",
       "3571    8. Autre | Other, 6c. Seisme et repliques | Ea...\n",
       "3572    6c. Seisme et repliques | Earthquake and after...\n",
       "3573    5a. Structure effondres | Collapsed structure,...\n",
       "3574    5a. Structure effondres | Collapsed structure,...\n",
       "3575      5a. Structure effondres | Collapsed structure, \n",
       "3576    5b. Structures a risque | Unstable Structure, ...\n",
       "3577    7d. Services de sante | Hospital/Clinics Opera...\n",
       "3578    7d. Services de sante | Hospital/Clinics Opera...\n",
       "3579    7d. Services de sante | Hospital/Clinics Opera...\n",
       "3580    6c. Seisme et repliques | Earthquake and after...\n",
       "3581    5a. Structure effondres | Collapsed structure,...\n",
       "3582    7d. Services de sante | Hospital/Clinics Opera...\n",
       "3583    5a. Structure effondres | Collapsed structure,...\n",
       "3584    5a. Structure effondres | Collapsed structure,...\n",
       "3585    6c. Seisme et repliques | Earthquake and after...\n",
       "3586    1. Urgences | Emergency, 5a. Structure effondr...\n",
       "3587                            1. Urgences | Emergency, \n",
       "3588                    5c. Route barree | Road blocked, \n",
       "3589    5a. Structure effondres | Collapsed structure,...\n",
       "3590      5a. Structure effondres | Collapsed structure, \n",
       "3591       5b. Structures a risque | Unstable Structure, \n",
       "3592      5a. Structure effondres | Collapsed structure, \n",
       "Name: CATEGORY, Length: 3593, dtype: object"
      ]
     },
     "execution_count": 276,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# CATEGORY字段含有一组以都好分隔的代码，这些代码表示消息的类型\n",
    "data['CATEGORY']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 277,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# 仔细观察，发现类型缺失了，因此我们需要丢弃这些数据点\n",
    "# 此外，调用describe还能发现数据中存在一些异常的地理位置"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 278,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Serial</th>\n",
       "      <th>LATITUDE</th>\n",
       "      <th>LONGITUDE</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>3593.000000</td>\n",
       "      <td>3593.000000</td>\n",
       "      <td>3593.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>2080.277484</td>\n",
       "      <td>18.611495</td>\n",
       "      <td>-72.322680</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>1171.100360</td>\n",
       "      <td>0.738572</td>\n",
       "      <td>3.650776</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>4.000000</td>\n",
       "      <td>18.041313</td>\n",
       "      <td>-74.452757</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>1074.000000</td>\n",
       "      <td>18.524070</td>\n",
       "      <td>-72.417500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>2163.000000</td>\n",
       "      <td>18.539269</td>\n",
       "      <td>-72.335000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>3088.000000</td>\n",
       "      <td>18.561820</td>\n",
       "      <td>-72.293570</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>4052.000000</td>\n",
       "      <td>50.226029</td>\n",
       "      <td>114.174287</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Serial     LATITUDE    LONGITUDE\n",
       "count  3593.000000  3593.000000  3593.000000\n",
       "mean   2080.277484    18.611495   -72.322680\n",
       "std    1171.100360     0.738572     3.650776\n",
       "min       4.000000    18.041313   -74.452757\n",
       "25%    1074.000000    18.524070   -72.417500\n",
       "50%    2163.000000    18.539269   -72.335000\n",
       "75%    3088.000000    18.561820   -72.293570\n",
       "max    4052.000000    50.226029   114.174287"
      ]
     },
     "execution_count": 278,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 279,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# 清楚错误位置信息并移除缺失分类的信息\n",
    "data = data[(data.LATITUDE > 18) & (data.LATITUDE < 20) & (data.LONGITUDE > -75) & (data.LONGITUDE < -70) & data.CATEGORY.notnull()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 280,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# 获取所有的分类列表\n",
    "def to_cat_list(catstr):\n",
    "    stripped = (x.strip() for x in catstr.split(','))\n",
    "    return [x for x in stripped if x]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 281,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def get_all_categories(cat_series):\n",
    "    cat_sets = (set(to_cat_list(x)) for x in cat_series)\n",
    "    return sorted(set.union(*cat_sets))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 282,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# 将各个分类信息拆分为编码和英语名称\n",
    "def get_english(cat):\n",
    "    code, names = cat.split('.')\n",
    "    if '|' in names:\n",
    "        names = names.split('|')[1]\n",
    "    return code, names.strip()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 283,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "('2', 'Vital Lines')"
      ]
     },
     "execution_count": 283,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "get_english('2. Urgences logistiques | Vital Lines')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 284,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# 做一个将编码跟名称映射起来的字典\n",
    "all_cats = get_all_categories(data.CATEGORY)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 285,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# 生成器表达式\n",
    "english_mapping = dict(get_english(x) for x in all_cats)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 286,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Food Shortage'"
      ]
     },
     "execution_count": 286,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "english_mapping['2a']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 287,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Earthquake and aftershocks'"
      ]
     },
     "execution_count": 287,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "english_mapping['6c']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 288,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def get_code(seq):\n",
    "    return [x.split('.')[0] for x in seq if x]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 289,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "all_codes = get_code(all_cats)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 290,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# 抽取唯一的分类编码\n",
    "code_index = pd.Index(np.unique(all_codes))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 291,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# 构造全零DataFrame\n",
    "dummy_frame = DataFrame(np.zeros((len(data), len(code_index))), index=data.index, columns=code_index)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 292,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3563</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3564</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3565</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3566</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3567</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3568</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3569</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3570</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3571</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3572</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3573</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3574</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3575</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3576</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3577</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3578</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3579</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3580</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3581</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3582</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3583</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3584</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3585</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3586</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3587</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3588</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3589</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3590</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3591</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3592</th>\n",
       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3569 rows × 45 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
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       "3585  0.0  0.0  0.0  0.0  0.0  0.0  0.0  \n",
       "3586  0.0  0.0  0.0  0.0  0.0  0.0  0.0  \n",
       "3587  0.0  0.0  0.0  0.0  0.0  0.0  0.0  \n",
       "3588  0.0  0.0  0.0  0.0  0.0  0.0  0.0  \n",
       "3589  0.0  0.0  0.0  0.0  0.0  0.0  0.0  \n",
       "3590  0.0  0.0  0.0  0.0  0.0  0.0  0.0  \n",
       "3591  0.0  0.0  0.0  0.0  0.0  0.0  0.0  \n",
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       "\n",
       "[3569 rows x 45 columns]"
      ]
     },
     "execution_count": 292,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dummy_frame"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 293,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# 构造矩阵\n",
    "for row , cat in zip(data.index, data.CATEGORY):\n",
    "    codes = get_code(to_cat_list(cat))\n",
    "    dummy_frame.loc[row, codes] = 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 294,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "data = data.join(dummy_frame.add_prefix('category_'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 295,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "E:\\Anaconda\\lib\\site-packages\\ipykernel\\__main__.py:1: DeprecationWarning: \n",
      ".ix is deprecated. Please use\n",
      ".loc for label based indexing or\n",
      ".iloc for positional indexing\n",
      "\n",
      "See the documentation here:\n",
      "http://pandas.pydata.org/pandas-docs/stable/indexing.html#deprecate_ix\n",
      "  if __name__ == '__main__':\n"
     ]
    },
    {
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       "      <th>13</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3563</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3564</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3565</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3566</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3567</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3568</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3569</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3570</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3571</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3572</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3573</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3574</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3575</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3576</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3577</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3578</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3579</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3580</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3581</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3582</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3583</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3584</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3585</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3586</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3587</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3588</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3589</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3590</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3591</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3592</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3569 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      category_1  category_1a  category_1b  category_1c  category_1d\n",
       "0            1.0          0.0          0.0          0.0          0.0\n",
       "4            1.0          0.0          0.0          0.0          0.0\n",
       "5            0.0          0.0          0.0          0.0          0.0\n",
       "6            0.0          0.0          0.0          0.0          0.0\n",
       "7            0.0          0.0          0.0          0.0          0.0\n",
       "8            0.0          0.0          0.0          0.0          0.0\n",
       "9            0.0          0.0          0.0          0.0          0.0\n",
       "10           0.0          1.0          0.0          0.0          0.0\n",
       "11           0.0          0.0          0.0          0.0          0.0\n",
       "12           0.0          0.0          0.0          0.0          0.0\n",
       "13           0.0          0.0          0.0          0.0          0.0\n",
       "14           0.0          0.0          0.0          0.0          0.0\n",
       "15           0.0          0.0          0.0          0.0          0.0\n",
       "16           1.0          0.0          0.0          0.0          0.0\n",
       "17           0.0          0.0          0.0          0.0          0.0\n",
       "18           0.0          0.0          0.0          0.0          0.0\n",
       "19           1.0          0.0          0.0          0.0          0.0\n",
       "20           1.0          0.0          0.0          0.0          0.0\n",
       "21           0.0          0.0          0.0          0.0          0.0\n",
       "22           0.0          0.0          0.0          0.0          0.0\n",
       "23           0.0          0.0          0.0          0.0          0.0\n",
       "24           0.0          0.0          0.0          0.0          0.0\n",
       "25           0.0          0.0          1.0          0.0          0.0\n",
       "26           0.0          0.0          0.0          0.0          0.0\n",
       "27           0.0          0.0          0.0          0.0          0.0\n",
       "28           0.0          0.0          0.0          0.0          0.0\n",
       "29           0.0          0.0          0.0          0.0          0.0\n",
       "30           0.0          0.0          0.0          0.0          0.0\n",
       "31           0.0          0.0          0.0          0.0          0.0\n",
       "32           0.0          0.0          0.0          0.0          0.0\n",
       "...          ...          ...          ...          ...          ...\n",
       "3563         0.0          0.0          0.0          0.0          0.0\n",
       "3564         0.0          0.0          0.0          0.0          0.0\n",
       "3565         1.0          0.0          0.0          0.0          0.0\n",
       "3566         1.0          0.0          0.0          0.0          0.0\n",
       "3567         0.0          0.0          0.0          0.0          0.0\n",
       "3568         0.0          0.0          0.0          0.0          0.0\n",
       "3569         0.0          0.0          0.0          1.0          0.0\n",
       "3570         0.0          0.0          0.0          0.0          0.0\n",
       "3571         0.0          0.0          0.0          0.0          0.0\n",
       "3572         0.0          0.0          0.0          0.0          0.0\n",
       "3573         0.0          0.0          0.0          0.0          0.0\n",
       "3574         0.0          0.0          0.0          1.0          0.0\n",
       "3575         0.0          0.0          0.0          0.0          0.0\n",
       "3576         0.0          0.0          0.0          0.0          0.0\n",
       "3577         0.0          0.0          0.0          0.0          0.0\n",
       "3578         0.0          0.0          0.0          0.0          0.0\n",
       "3579         0.0          0.0          0.0          0.0          0.0\n",
       "3580         0.0          0.0          0.0          0.0          0.0\n",
       "3581         0.0          0.0          0.0          1.0          0.0\n",
       "3582         0.0          0.0          0.0          0.0          0.0\n",
       "3583         0.0          0.0          0.0          0.0          0.0\n",
       "3584         0.0          0.0          0.0          1.0          0.0\n",
       "3585         0.0          0.0          0.0          0.0          0.0\n",
       "3586         1.0          0.0          0.0          0.0          0.0\n",
       "3587         1.0          0.0          0.0          0.0          0.0\n",
       "3588         0.0          0.0          0.0          0.0          0.0\n",
       "3589         0.0          0.0          0.0          1.0          0.0\n",
       "3590         0.0          0.0          0.0          0.0          0.0\n",
       "3591         0.0          0.0          0.0          0.0          0.0\n",
       "3592         0.0          0.0          0.0          0.0          0.0\n",
       "\n",
       "[3569 rows x 5 columns]"
      ]
     },
     "execution_count": 295,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.ix[:, 10:15]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 296,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "from mpl_toolkits.basemap import Basemap  # 需要下载basemap库，conda没有自带"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 266,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Populating the interactive namespace from numpy and matplotlib\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "E:\\Anaconda\\lib\\site-packages\\IPython\\core\\magics\\pylab.py:161: UserWarning: pylab import has clobbered these variables: ['axes']\n",
      "`%matplotlib` prevents importing * from pylab and numpy\n",
      "  \"\\n`%matplotlib` prevents importing * from pylab and numpy\"\n"
     ]
    }
   ],
   "source": [
    "%pylab inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 311,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def basic_haiti_map(ax=None, lllat=17.25, urlat=20.25, lllon=-75, urlon=-71):\n",
    "    # 创建极球面投影的Basemap实例\n",
    "    m = Basemap(ax=ax, projection='stere',\n",
    "               lon_0=(urlon + lllon) / 2,\n",
    "                lat_0=(urlat + lllat) / 2,\n",
    "                llcrnrlat=lllat, urcrnrlat=urlat,\n",
    "                llcrnrlon=lllon, urcrnrlon=urlon,\n",
    "                resolution='f')\n",
    "    # 绘制海岸线，州界，国界以及地图边界\n",
    "    m.drawcoastlines()\n",
    "    m.drawstates()\n",
    "    m.drawcountries()\n",
    "    return m"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 312,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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lRWL52SQXz92+aHbf6V6T7j6S5EiSVNV6d6+d1rTngVU9d7K6Z3fu1VNV69v8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\nnIEV9TXrYAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x16b5e1d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axes = plt.subplots(nrows=2, ncols=2, figsize=(12,10))\n",
    "fig.subplots_adjust(hspace=0.15, wspace=0.15)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 313,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "to_plot = ['2a', '1','3c','7a']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 314,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "lllat = 17.25\n",
    "urlat=20.25\n",
    "lllon=-75\n",
    "urlon=-71"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 315,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "for code, ax in zip(to_plot, axes.flat):\n",
    "    m = basic_haiti_map(ax, lllat=lllat, urlat=urlat, lllon=lllon, urlon=urlon)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 316,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Serial</th>\n",
       "      <th>INCIDENT TITLE</th>\n",
       "      <th>INCIDENT DATE</th>\n",
       "      <th>LOCATION</th>\n",
       "      <th>DESCRIPTION</th>\n",
       "      <th>CATEGORY</th>\n",
       "      <th>LATITUDE</th>\n",
       "      <th>LONGITUDE</th>\n",
       "      <th>APPROVED</th>\n",
       "      <th>VERIFIED</th>\n",
       "      <th>...</th>\n",
       "      <th>category_7c</th>\n",
       "      <th>category_7d</th>\n",
       "      <th>category_7g</th>\n",
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       "      <th>category_8</th>\n",
       "      <th>category_8a</th>\n",
       "      <th>category_8c</th>\n",
       "      <th>category_8d</th>\n",
       "      <th>category_8e</th>\n",
       "      <th>category_8f</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>152</th>\n",
       "      <td>3858</td>\n",
       "      <td>Tent and food needed at Avenue Christoph #99</td>\n",
       "      <td>03/03/2010 22:29</td>\n",
       "      <td>Avenue Christoph #99, Turgeau, Port au Prince</td>\n",
       "      <td>english:  \\t\\n\\nMy name is PEDRO Ophilien Andr...</td>\n",
       "      <td>2d. Refuge | Shelter needed, 7a. Distribution ...</td>\n",
       "      <td>18.533900</td>\n",
       "      <td>-72.334200</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>...</td>\n",
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       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>153</th>\n",
       "      <td>3856</td>\n",
       "      <td>Help needed at Delmas 15</td>\n",
       "      <td>01/03/2010 22:23</td>\n",
       "      <td>Delmas 15</td>\n",
       "      <td>english:  \\t\\n\\nWe are sufering in Delma 15.We...</td>\n",
       "      <td>7a. Distribution d'aliments | Food distributio...</td>\n",
       "      <td>18.554070</td>\n",
       "      <td>-72.313970</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>154</th>\n",
       "      <td>3855</td>\n",
       "      <td>No help received yet in Mahotiere 79, Carrefour</td>\n",
       "      <td>02/03/2010 00:02</td>\n",
       "      <td>Mahotiere 79, Carrefour</td>\n",
       "      <td>english:  \\t\\n\\nWe need help at Mahotiere 79. ...</td>\n",
       "      <td>7a. Distribution d'aliments | Food distributio...</td>\n",
       "      <td>18.533553</td>\n",
       "      <td>-72.398201</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>155</th>\n",
       "      <td>3854</td>\n",
       "      <td>Help needed in Petit Goave</td>\n",
       "      <td>03/03/2010 13:24</td>\n",
       "      <td>Petit Goave</td>\n",
       "      <td>english:  \\t\\n\\nUnited Nation please take care...</td>\n",
       "      <td>7a. Distribution d'aliments | Food distributio...</td>\n",
       "      <td>18.434000</td>\n",
       "      <td>-72.857600</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>170</th>\n",
       "      <td>3839</td>\n",
       "      <td>Food and Tents Needed in Ti Goave</td>\n",
       "      <td>21/01/2010 13:00</td>\n",
       "      <td>Ti Goave</td>\n",
       "      <td>english:  \\t\\n\\nMy Family in Ti Goave and my m...</td>\n",
       "      <td>7. Secours | Services Available, 2d. Refuge | ...</td>\n",
       "      <td>18.428800</td>\n",
       "      <td>-72.862700</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>171</th>\n",
       "      <td>3838</td>\n",
       "      <td>Food, Water, and Shelter Needed nead Taciana H...</td>\n",
       "      <td>21/01/2010 13:55</td>\n",
       "      <td>Clady Loute, Ogane Chatuley, Leogane</td>\n",
       "      <td>english:  \\t\\n\\nClaudy Loute, Ogane Chatuley i...</td>\n",
       "      <td>7. Secours | Services Available, 2d. Refuge | ...</td>\n",
       "      <td>18.513040</td>\n",
       "      <td>-72.617420</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>179</th>\n",
       "      <td>3830</td>\n",
       "      <td>Food, Water, Shelter Needed</td>\n",
       "      <td>01/03/2010 15:01</td>\n",
       "      <td>28 Estime Street, Port-au-Prince</td>\n",
       "      <td>english:  \\t\\n\\nGood morning! my name is Ralph...</td>\n",
       "      <td>2. Urgences logistiques | Vital Lines, 2b. Pen...</td>\n",
       "      <td>18.546060</td>\n",
       "      <td>-72.327400</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>219</th>\n",
       "      <td>3788</td>\n",
       "      <td>Pregnant woman needs help in Delmas 3, Port au...</td>\n",
       "      <td>01/03/2010 14:35</td>\n",
       "      <td>Delmas 3, Port au Prince</td>\n",
       "      <td>english:  \\t\\n\\nHi! my name is shakespeare and...</td>\n",
       "      <td>7d. Services de sante | Hospital/Clinics Opera...</td>\n",
       "      <td>18.558618</td>\n",
       "      <td>-72.322254</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>232</th>\n",
       "      <td>3774</td>\n",
       "      <td>Food, water and tents needed in Turgeau</td>\n",
       "      <td>28/02/2010 16:28</td>\n",
       "      <td>Canada Turgeau, Port au Prince</td>\n",
       "      <td>We in Canada turjo quote, we need food, water ...</td>\n",
       "      <td>2d. Refuge | Shelter needed, 7a. Distribution ...</td>\n",
       "      <td>18.533770</td>\n",
       "      <td>-72.330012</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>237</th>\n",
       "      <td>3769</td>\n",
       "      <td>Aid needed - distribution problems - Petit Goave</td>\n",
       "      <td>02/03/2010 12:37</td>\n",
       "      <td>Petit Goave</td>\n",
       "      <td>english:  \\t\\n\\nPLEASE UNITED NATION KEEP AN E...</td>\n",
       "      <td>2b. Penurie d'eau | Water shortage, 2a. Penuri...</td>\n",
       "      <td>18.432710</td>\n",
       "      <td>-72.862780</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>238</th>\n",
       "      <td>3768</td>\n",
       "      <td>Food and toiletries needed in Hatte Lathan</td>\n",
       "      <td>28/02/2010 16:23</td>\n",
       "      <td>Hatte Lathan</td>\n",
       "      <td>english:  \\t\\n\\nHi, my name is Jislene, i live...</td>\n",
       "      <td>7a. Distribution d'aliments | Food distributio...</td>\n",
       "      <td>18.616315</td>\n",
       "      <td>-72.268066</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262</th>\n",
       "      <td>3743</td>\n",
       "      <td>Food needed at Le Lambi</td>\n",
       "      <td>25/02/2010 21:16</td>\n",
       "      <td>Le Lambi</td>\n",
       "      <td>english:\\t\\nHelp us, we are hungry we live at ...</td>\n",
       "      <td>7a. Distribution d'aliments | Food distributio...</td>\n",
       "      <td>18.504354</td>\n",
       "      <td>-72.447968</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>263</th>\n",
       "      <td>3742</td>\n",
       "      <td>Help needed at Delmas 3, Impasse Dare #20</td>\n",
       "      <td>27/02/2010 13:04</td>\n",
       "      <td>Delmas 3, Impasse Dare #20</td>\n",
       "      <td>the address house is Delams 3, Impasse Dare, #...</td>\n",
       "      <td>7a. Distribution d'aliments | Food distributio...</td>\n",
       "      <td>18.558030</td>\n",
       "      <td>-72.320570</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>270</th>\n",
       "      <td>3734</td>\n",
       "      <td>Food needed</td>\n",
       "      <td>21/01/2010 13:20</td>\n",
       "      <td>Tabarre 27</td>\n",
       "      <td>english:  \\t\\n\\nWe are a group of people livin...</td>\n",
       "      <td>7a. Distribution d'aliments | Food distributio...</td>\n",
       "      <td>18.580760</td>\n",
       "      <td>-72.267270</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>273</th>\n",
       "      <td>3731</td>\n",
       "      <td>Need food and water</td>\n",
       "      <td>21/01/2010 13:55</td>\n",
       "      <td>Lilavois 1, ruelle de la paix</td>\n",
       "      <td>english:  \\t\\n\\nWe\\'re in Lilavois 1, ruelle d...</td>\n",
       "      <td>7a. Distribution d'aliments | Food distributio...</td>\n",
       "      <td>18.558690</td>\n",
       "      <td>-72.304700</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>277</th>\n",
       "      <td>3727</td>\n",
       "      <td>Food and water needed</td>\n",
       "      <td>21/01/2010 13:44</td>\n",
       "      <td>Akachon 32 at Carrefour</td>\n",
       "      <td>english:  \\t\\n\\nI\\'m Joseph Zakarie. We are in...</td>\n",
       "      <td>7a. Distribution d'aliments | Food distributio...</td>\n",
       "      <td>18.541370</td>\n",
       "      <td>-72.398400</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>311</th>\n",
       "      <td>3692</td>\n",
       "      <td>Food, shelter, and water needed in St. Marc.</td>\n",
       "      <td>23/02/2010 14:48</td>\n",
       "      <td>The victim didn't specify her location anymore...</td>\n",
       "      <td>The victim's name is Mirlaine and she's sms th...</td>\n",
       "      <td>2d. Refuge | Shelter needed, 7a. Distribution ...</td>\n",
       "      <td>19.102140</td>\n",
       "      <td>-72.699560</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>377</th>\n",
       "      <td>3626</td>\n",
       "      <td>Help needed Port-de-Paix Cassave #27</td>\n",
       "      <td>23/02/2010 22:09</td>\n",
       "      <td>Port-de-Paix Cassave #27</td>\n",
       "      <td>Alcide Nadin,Port-de-Paix(cassave)#27 Thanks \\...</td>\n",
       "      <td>7a. Distribution d'aliments | Food distributio...</td>\n",
       "      <td>19.940000</td>\n",
       "      <td>-72.830800</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>428</th>\n",
       "      <td>3574</td>\n",
       "      <td>Tents and food needed at Mon Repos 44 Rue Conc...</td>\n",
       "      <td>20/02/2010 12:50</td>\n",
       "      <td>Mon Repos 44 Rue Concorde #44</td>\n",
       "      <td>we need some tent with food at mon repos 44 ru...</td>\n",
       "      <td>2d. Refuge | Shelter needed, 7a. Distribution ...</td>\n",
       "      <td>18.430050</td>\n",
       "      <td>-72.769790</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>430</th>\n",
       "      <td>3572</td>\n",
       "      <td>Food, tents, water and medicine needed in Bon ...</td>\n",
       "      <td>20/02/2010 12:54</td>\n",
       "      <td>Bon Repos Molea</td>\n",
       "      <td>We need help food tant medecin please bon repo...</td>\n",
       "      <td>7d. Services de sante | Hospital/Clinics Opera...</td>\n",
       "      <td>18.625700</td>\n",
       "      <td>-72.270900</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>431</th>\n",
       "      <td>3571</td>\n",
       "      <td>Problems with ration cards in Delmas</td>\n",
       "      <td>22/02/2010 22:37</td>\n",
       "      <td>Delmas 2 and Delmas 4</td>\n",
       "      <td>english:  \\t\\n\\nPlease, when you distribute th...</td>\n",
       "      <td>7a. Distribution d'aliments | Food distributio...</td>\n",
       "      <td>18.544600</td>\n",
       "      <td>-72.278000</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>434</th>\n",
       "      <td>3568</td>\n",
       "      <td>Food and water needed at Bon Repos, Lilavois 5</td>\n",
       "      <td>19/02/2010 23:21</td>\n",
       "      <td>Bon Repos, Lilavois 5</td>\n",
       "      <td>I need food and water at Bon Repos, lilavois 5...</td>\n",
       "      <td>7a. Distribution d'aliments | Food distributio...</td>\n",
       "      <td>18.625760</td>\n",
       "      <td>-72.270030</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>435</th>\n",
       "      <td>3567</td>\n",
       "      <td>Croix-des-Bouquets has not received aid yet</td>\n",
       "      <td>19/02/2010 12:41</td>\n",
       "      <td>Croix-des-Bouquets</td>\n",
       "      <td>I can not resist anymore, all my ressource are...</td>\n",
       "      <td>7a. Distribution d'aliments | Food distributio...</td>\n",
       "      <td>18.577267</td>\n",
       "      <td>-72.232361</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>437</th>\n",
       "      <td>3565</td>\n",
       "      <td>Help for Cotes-de-Fer, south of P-au-P along t...</td>\n",
       "      <td>22/02/2010 17:50</td>\n",
       "      <td>cotes-de-fer</td>\n",
       "      <td>There approximately 3500+ villager from the to...</td>\n",
       "      <td>5a. Structure effondres | Collapsed structure,...</td>\n",
       "      <td>18.182247</td>\n",
       "      <td>-73.004265</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>459</th>\n",
       "      <td>3541</td>\n",
       "      <td>Food Needed in Blanchard</td>\n",
       "      <td>19/02/2010 06:55</td>\n",
       "      <td>Blanchard</td>\n",
       "      <td>Please, our living conditions is really bad. W...</td>\n",
       "      <td>7a. Distribution d'aliments | Food distributio...</td>\n",
       "      <td>18.598420</td>\n",
       "      <td>-72.313520</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>486</th>\n",
       "      <td>3513</td>\n",
       "      <td>Planned WFP Food Distribution Site - #9</td>\n",
       "      <td>18/02/2010 12:23</td>\n",
       "      <td>Located in Canape Vert Square, near the Nation...</td>\n",
       "      <td>This is distribution site 9 (out of 16 in Port...</td>\n",
       "      <td>7a. Distribution d'aliments | Food distributio...</td>\n",
       "      <td>18.532510</td>\n",
       "      <td>-72.315940</td>\n",
       "      <td>YES</td>\n",
       "      <td>YES</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>488</th>\n",
       "      <td>3511</td>\n",
       "      <td>Planned WFP Food Distribution Site - #8</td>\n",
       "      <td>18/02/2010 12:05</td>\n",
       "      <td>Located at church near Rue Capois and Ave. Jea...</td>\n",
       "      <td>This is distribution site 8 (out of 16 in Port...</td>\n",
       "      <td>7a. Distribution d'aliments | Food distributio...</td>\n",
       "      <td>18.536430</td>\n",
       "      <td>-72.336110</td>\n",
       "      <td>YES</td>\n",
       "      <td>YES</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>495</th>\n",
       "      <td>3504</td>\n",
       "      <td>Food, water, shelter needed in Arcachaie</td>\n",
       "      <td>18/01/2010 13:37</td>\n",
       "      <td>Arcachaie</td>\n",
       "      <td>good afternoon mr tim i m a us citizen i m in ...</td>\n",
       "      <td>2d. Refuge | Shelter needed, 7a. Distribution ...</td>\n",
       "      <td>18.847200</td>\n",
       "      <td>-72.484000</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>497</th>\n",
       "      <td>3502</td>\n",
       "      <td>Food and water needed at St. Bernadette</td>\n",
       "      <td>18/01/2010 13:30</td>\n",
       "      <td>St. Bernadette</td>\n",
       "      <td>We are in Saint Bernadette (Near bicentenaire)...</td>\n",
       "      <td>7a. Distribution d'aliments | Food distributio...</td>\n",
       "      <td>18.531100</td>\n",
       "      <td>-72.354300</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>500</th>\n",
       "      <td>3499</td>\n",
       "      <td>Food needed in Fermat 64</td>\n",
       "      <td>18/01/2010 13:25</td>\n",
       "      <td>Fermat 64</td>\n",
       "      <td>My name is Djemson. I live in Fermat 64. I wou...</td>\n",
       "      <td>7a. Distribution d'aliments | Food distributio...</td>\n",
       "      <td>18.481600</td>\n",
       "      <td>-72.288700</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2996</th>\n",
       "      <td>649</td>\n",
       "      <td>Need food &amp;amp;amp; water for 200</td>\n",
       "      <td>17/01/2010 03:59</td>\n",
       "      <td>Cote Plage 22 #33</td>\n",
       "      <td>200 people with no food and no drinks at Cote ...</td>\n",
       "      <td>1. Urgences | Emergency, 2b. Penurie d'eau | W...</td>\n",
       "      <td>18.539268</td>\n",
       "      <td>-72.395353</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2998</th>\n",
       "      <td>647</td>\n",
       "      <td>Hot Meals available at Muncheez Restaurant</td>\n",
       "      <td>17/01/2010 03:17</td>\n",
       "      <td>petion-ville, port-au-prince</td>\n",
       "      <td>Muncheez Restaurant is offering hot meals to t...</td>\n",
       "      <td>7a. Distribution d'aliments | Food distributio...</td>\n",
       "      <td>18.517865</td>\n",
       "      <td>-72.290511</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3003</th>\n",
       "      <td>642</td>\n",
       "      <td>Foyer de Sion receives some supplies and water</td>\n",
       "      <td>17/01/2010 01:36</td>\n",
       "      <td>port au prince, fontamara 43</td>\n",
       "      <td>With gratitude we are glad to announce that fo...</td>\n",
       "      <td>1. Urgences | Emergency, 7. Secours | Services...</td>\n",
       "      <td>18.539269</td>\n",
       "      <td>-72.336408</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3005</th>\n",
       "      <td>639</td>\n",
       "      <td>Help available at Quisqueya Christian School i...</td>\n",
       "      <td>17/01/2010 02:50</td>\n",
       "      <td>17 Delmas 36, Port-au-Prince</td>\n",
       "      <td>For the people in Delmas, Quisqueya Christian ...</td>\n",
       "      <td>7a. Distribution d'aliments | Food distributio...</td>\n",
       "      <td>18.537153</td>\n",
       "      <td>-72.294390</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3011</th>\n",
       "      <td>632</td>\n",
       "      <td>Orphanage needs help</td>\n",
       "      <td>17/01/2010 06:51</td>\n",
       "      <td>Pétionville</td>\n",
       "      <td>RUE LEMOINE BV 15 OCTOBRE TORCELLES 5EME MAISO...</td>\n",
       "      <td>2b. Penurie d'eau | Water shortage, 7d. Servic...</td>\n",
       "      <td>18.512500</td>\n",
       "      <td>-72.285278</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3012</th>\n",
       "      <td>631</td>\n",
       "      <td>Orphanange Nid d'Espoir</td>\n",
       "      <td>17/01/2010 06:50</td>\n",
       "      <td>Port-au-Prince</td>\n",
       "      <td>Children need food, water and more\\n17 delmas 36</td>\n",
       "      <td>1. Urgences | Emergency, 2b. Penurie d'eau | W...</td>\n",
       "      <td>18.539167</td>\n",
       "      <td>-72.335000</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3013</th>\n",
       "      <td>630</td>\n",
       "      <td>Ecole Ananda Marga food distribution point nee...</td>\n",
       "      <td>17/01/2010 12:41</td>\n",
       "      <td>Port-au-Prince, Bourdon, Impasse Dumonde, Rue ...</td>\n",
       "      <td>This school in Port-au-Prince has been serving...</td>\n",
       "      <td>7a. Distribution d'aliments | Food distributio...</td>\n",
       "      <td>18.540977</td>\n",
       "      <td>-72.315617</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3014</th>\n",
       "      <td>629</td>\n",
       "      <td>50 children needs food, water and more</td>\n",
       "      <td>17/01/2010 06:47</td>\n",
       "      <td>Port-au-Prince</td>\n",
       "      <td>TABARE 48 n° 8 Village Montfleury\\nCreche Nid ...</td>\n",
       "      <td>2b. Penurie d'eau | Water shortage, 7d. Servic...</td>\n",
       "      <td>18.539167</td>\n",
       "      <td>-72.335000</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3029</th>\n",
       "      <td>610</td>\n",
       "      <td>Head Injuries, bleeding nose and ears from a f...</td>\n",
       "      <td>17/01/2010 07:26</td>\n",
       "      <td>Port-au-Prince</td>\n",
       "      <td>My brother Jean-Marc Alexis was the owner of a...</td>\n",
       "      <td>1. Urgences | Emergency, 5a. Structure effondr...</td>\n",
       "      <td>18.539167</td>\n",
       "      <td>-72.335000</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3043</th>\n",
       "      <td>596</td>\n",
       "      <td>Orphanage needs supplies, security &amp;amp;amp; m...</td>\n",
       "      <td>16/01/2010 11:15</td>\n",
       "      <td>delmas 31</td>\n",
       "      <td>Maison des Enfants de Dieu orphanage in Port-a...</td>\n",
       "      <td>4. Menaces | Security Threats, 2b. Penurie d'e...</td>\n",
       "      <td>18.560333</td>\n",
       "      <td>-72.301679</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3047</th>\n",
       "      <td>592</td>\n",
       "      <td>Food arrive to Labadee by Royal Caribbean</td>\n",
       "      <td>16/01/2010 08:04</td>\n",
       "      <td>Labadee, Haiti</td>\n",
       "      <td>Royal Caribbean brings passengers, aid to Laba...</td>\n",
       "      <td>7a. Distribution d'aliments | Food distributio...</td>\n",
       "      <td>19.786389</td>\n",
       "      <td>-72.245556</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3050</th>\n",
       "      <td>588</td>\n",
       "      <td>Food</td>\n",
       "      <td>16/01/2010 10:21</td>\n",
       "      <td>Carrefour Moussignac</td>\n",
       "      <td>Families in carrefour don't know where to get ...</td>\n",
       "      <td>1. Urgences | Emergency, 2b. Penurie d'eau | W...</td>\n",
       "      <td>18.383333</td>\n",
       "      <td>-73.100000</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3053</th>\n",
       "      <td>585</td>\n",
       "      <td>EN VIE</td>\n",
       "      <td>16/01/2010 09:56</td>\n",
       "      <td>PACOT 4 NUMERO 3</td>\n",
       "      <td>SHE HAVE HIGHPERTENSION,DONT HAVE ANY MEDICATI...</td>\n",
       "      <td>7d. Services de sante | Hospital/Clinics Opera...</td>\n",
       "      <td>18.532921</td>\n",
       "      <td>-72.337761</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3127</th>\n",
       "      <td>507</td>\n",
       "      <td>Area open</td>\n",
       "      <td>16/01/2010 12:50</td>\n",
       "      <td>Delmas 75, Port-au-Prince</td>\n",
       "      <td>Delmas 75 is open, food is available for the p...</td>\n",
       "      <td>7. Secours | Services Available, 7a. Distribut...</td>\n",
       "      <td>18.535891</td>\n",
       "      <td>-72.291884</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3131</th>\n",
       "      <td>501</td>\n",
       "      <td>Food available in Delmas</td>\n",
       "      <td>16/01/2010 01:00</td>\n",
       "      <td>Delmas 75, Port-au-Prince</td>\n",
       "      <td>Delmas 75 is open, food is available for the p...</td>\n",
       "      <td>2. Urgences logistiques | Vital Lines, 7a. Dis...</td>\n",
       "      <td>18.544722</td>\n",
       "      <td>-72.302778</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3143</th>\n",
       "      <td>488</td>\n",
       "      <td>Narcisse family needs food</td>\n",
       "      <td>16/01/2010 11:08</td>\n",
       "      <td>230 Boulangesree St Kenscoff, Haiti</td>\n",
       "      <td>The Narcisse family does not know where to get...</td>\n",
       "      <td>7a. Distribution d'aliments | Food distributio...</td>\n",
       "      <td>18.570107</td>\n",
       "      <td>-72.333984</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3147</th>\n",
       "      <td>484</td>\n",
       "      <td>Plan Canada distributing food, kits, and water</td>\n",
       "      <td>16/01/2010 11:09</td>\n",
       "      <td>Jacmel</td>\n",
       "      <td>3 shelters for 1000 ppl. We're distributing fa...</td>\n",
       "      <td>7. Secours | Services Available, 7a. Distribut...</td>\n",
       "      <td>18.234167</td>\n",
       "      <td>-72.534722</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3183</th>\n",
       "      <td>443</td>\n",
       "      <td>WFP distribution of food and non-food items</td>\n",
       "      <td>15/01/2010 10:00</td>\n",
       "      <td>National Palace, Port-au-Prince</td>\n",
       "      <td>WFP distributed high energy biscuits, jerry ca...</td>\n",
       "      <td>7a. Distribution d'aliments | Food distributio...</td>\n",
       "      <td>18.542076</td>\n",
       "      <td>-72.336817</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3184</th>\n",
       "      <td>442</td>\n",
       "      <td>WFP distribution of food and non-food items</td>\n",
       "      <td>15/01/2010 09:46</td>\n",
       "      <td>Delmas 33, Petionville</td>\n",
       "      <td>WFP distributed high energy biscuits, jerry ca...</td>\n",
       "      <td>7a. Distribution d'aliments | Food distributio...</td>\n",
       "      <td>18.549033</td>\n",
       "      <td>-72.304974</td>\n",
       "      <td>YES</td>\n",
       "      <td>YES</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3191</th>\n",
       "      <td>433</td>\n",
       "      <td>Water distribution and burning bodies at Champ...</td>\n",
       "      <td>15/01/2010 01:48</td>\n",
       "      <td>18°34'47 N, 72°17'34 W</td>\n",
       "      <td>There is a water distribution site and they ar...</td>\n",
       "      <td>7a. Distribution d'aliments | Food distributio...</td>\n",
       "      <td>18.525108</td>\n",
       "      <td>-72.349091</td>\n",
       "      <td>YES</td>\n",
       "      <td>YES</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3197</th>\n",
       "      <td>426</td>\n",
       "      <td>Aid Delivered to Port-au-Prince Airport</td>\n",
       "      <td>15/01/2010 06:32</td>\n",
       "      <td>18°34'47 N, 72°17'34 W</td>\n",
       "      <td>U.S. established an air link to the airport af...</td>\n",
       "      <td>7a. Distribution d'aliments | Food distributio...</td>\n",
       "      <td>18.579721</td>\n",
       "      <td>-72.292778</td>\n",
       "      <td>YES</td>\n",
       "      <td>YES</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3206</th>\n",
       "      <td>416</td>\n",
       "      <td>Four drums in Fonds Verettes (18.394408°, -71....</td>\n",
       "      <td>15/01/2010 01:12</td>\n",
       "      <td>18.394408°, -71.852375°</td>\n",
       "      <td>0.6% sodium hypochlorite solution in 55-gallon...</td>\n",
       "      <td>7a. Distribution d'aliments | Food distributio...</td>\n",
       "      <td>18.397160</td>\n",
       "      <td>-71.852686</td>\n",
       "      <td>YES</td>\n",
       "      <td>YES</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3220</th>\n",
       "      <td>401</td>\n",
       "      <td>Leogane, Haiti has not received any relief eff...</td>\n",
       "      <td>15/01/2010 04:23</td>\n",
       "      <td>Léogâne</td>\n",
       "      <td>My grandmother and many other Haitians have su...</td>\n",
       "      <td>1. Urgences | Emergency, 5a. Structure effondr...</td>\n",
       "      <td>18.510833</td>\n",
       "      <td>-72.633889</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3223</th>\n",
       "      <td>398</td>\n",
       "      <td>food being handed out by cross international</td>\n",
       "      <td>15/01/2010 03:56</td>\n",
       "      <td>Les Cayes, Haiti</td>\n",
       "      <td>1/2 million meals being handed out to refugees...</td>\n",
       "      <td>7. Secours | Services Available, 7a. Distribut...</td>\n",
       "      <td>18.190359</td>\n",
       "      <td>-73.748291</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3228</th>\n",
       "      <td>393</td>\n",
       "      <td>WFP AIR OPS update</td>\n",
       "      <td>15/01/2010 03:41</td>\n",
       "      <td>Port-au-Prince</td>\n",
       "      <td>WFP's UNHAS will begin a 10-seat Cessna Carava...</td>\n",
       "      <td>7. Secours | Services Available, 7a. Distribut...</td>\n",
       "      <td>18.576616</td>\n",
       "      <td>-72.289352</td>\n",
       "      <td>YES</td>\n",
       "      <td>YES</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3232</th>\n",
       "      <td>389</td>\n",
       "      <td>BRESMA orphanage children need help from field...</td>\n",
       "      <td>15/01/2010 10:30</td>\n",
       "      <td>delmas 105</td>\n",
       "      <td>Directions to BRESMA III (Jamie and Ali's Hous...</td>\n",
       "      <td>2c. Eau contaminee | Contaminated water, 2b. P...</td>\n",
       "      <td>18.527397</td>\n",
       "      <td>-72.271130</td>\n",
       "      <td>YES</td>\n",
       "      <td>YES</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3334</th>\n",
       "      <td>276</td>\n",
       "      <td>Food Distribution (WFP)</td>\n",
       "      <td>14/01/2010 01:54</td>\n",
       "      <td>Jacmel</td>\n",
       "      <td>WFP food distributions began on 13 January in ...</td>\n",
       "      <td>7a. Distribution d'aliments | Food distributio...</td>\n",
       "      <td>18.238072</td>\n",
       "      <td>-72.534050</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3335</th>\n",
       "      <td>275</td>\n",
       "      <td>Food Distribution (WFP)</td>\n",
       "      <td>14/01/2010 01:50</td>\n",
       "      <td>Place Boyer‎, Port-au-Prince, Haiti‎</td>\n",
       "      <td>WFP food distributions began on 13 January in ...</td>\n",
       "      <td>7a. Distribution d'aliments | Food distributio...</td>\n",
       "      <td>18.512570</td>\n",
       "      <td>-72.282035</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3336</th>\n",
       "      <td>274</td>\n",
       "      <td>Food Distribution (WFP)</td>\n",
       "      <td>14/01/2010 01:43</td>\n",
       "      <td>Jacmel, Haiti</td>\n",
       "      <td>WFP food distributions began on 13 January in ...</td>\n",
       "      <td>7a. Distribution d'aliments | Food distributio...</td>\n",
       "      <td>18.238072</td>\n",
       "      <td>-72.534050</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3397</th>\n",
       "      <td>211</td>\n",
       "      <td>Looking for family: Mirlene Lisius Bayard, Sam...</td>\n",
       "      <td>14/01/2010 02:29</td>\n",
       "      <td>Pétionville</td>\n",
       "      <td>I would like to be heard from my wife Mirlene ...</td>\n",
       "      <td>1. Urgences | Emergency, 7d. Services de sante...</td>\n",
       "      <td>18.512500</td>\n",
       "      <td>-72.285278</td>\n",
       "      <td>YES</td>\n",
       "      <td>NO</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>330 rows × 55 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Serial                                     INCIDENT TITLE  \\\n",
       "152     3858       Tent and food needed at Avenue Christoph #99   \n",
       "153     3856                           Help needed at Delmas 15   \n",
       "154     3855    No help received yet in Mahotiere 79, Carrefour   \n",
       "155     3854                         Help needed in Petit Goave   \n",
       "170     3839                  Food and Tents Needed in Ti Goave   \n",
       "171     3838  Food, Water, and Shelter Needed nead Taciana H...   \n",
       "179     3830                        Food, Water, Shelter Needed   \n",
       "219     3788  Pregnant woman needs help in Delmas 3, Port au...   \n",
       "232     3774            Food, water and tents needed in Turgeau   \n",
       "237     3769   Aid needed - distribution problems - Petit Goave   \n",
       "238     3768         Food and toiletries needed in Hatte Lathan   \n",
       "262     3743                            Food needed at Le Lambi   \n",
       "263     3742          Help needed at Delmas 3, Impasse Dare #20   \n",
       "270     3734                                        Food needed   \n",
       "273     3731                                Need food and water   \n",
       "277     3727                              Food and water needed   \n",
       "311     3692       Food, shelter, and water needed in St. Marc.   \n",
       "377     3626               Help needed Port-de-Paix Cassave #27   \n",
       "428     3574  Tents and food needed at Mon Repos 44 Rue Conc...   \n",
       "430     3572  Food, tents, water and medicine needed in Bon ...   \n",
       "431     3571               Problems with ration cards in Delmas   \n",
       "434     3568     Food and water needed at Bon Repos, Lilavois 5   \n",
       "435     3567        Croix-des-Bouquets has not received aid yet   \n",
       "437     3565  Help for Cotes-de-Fer, south of P-au-P along t...   \n",
       "459     3541                           Food Needed in Blanchard   \n",
       "486     3513            Planned WFP Food Distribution Site - #9   \n",
       "488     3511            Planned WFP Food Distribution Site - #8   \n",
       "495     3504           Food, water, shelter needed in Arcachaie   \n",
       "497     3502            Food and water needed at St. Bernadette   \n",
       "500     3499                           Food needed in Fermat 64   \n",
       "...      ...                                                ...   \n",
       "2996     649                  Need food &amp;amp; water for 200   \n",
       "2998     647         Hot Meals available at Muncheez Restaurant   \n",
       "3003     642     Foyer de Sion receives some supplies and water   \n",
       "3005     639  Help available at Quisqueya Christian School i...   \n",
       "3011     632                               Orphanage needs help   \n",
       "3012     631                            Orphanange Nid d'Espoir   \n",
       "3013     630  Ecole Ananda Marga food distribution point nee...   \n",
       "3014     629             50 children needs food, water and more   \n",
       "3029     610  Head Injuries, bleeding nose and ears from a f...   \n",
       "3043     596  Orphanage needs supplies, security &amp;amp; m...   \n",
       "3047     592          Food arrive to Labadee by Royal Caribbean   \n",
       "3050     588                                               Food   \n",
       "3053     585                                             EN VIE   \n",
       "3127     507                                          Area open   \n",
       "3131     501                           Food available in Delmas   \n",
       "3143     488                         Narcisse family needs food   \n",
       "3147     484     Plan Canada distributing food, kits, and water   \n",
       "3183     443        WFP distribution of food and non-food items   \n",
       "3184     442        WFP distribution of food and non-food items   \n",
       "3191     433  Water distribution and burning bodies at Champ...   \n",
       "3197     426            Aid Delivered to Port-au-Prince Airport   \n",
       "3206     416  Four drums in Fonds Verettes (18.394408°, -71....   \n",
       "3220     401  Leogane, Haiti has not received any relief eff...   \n",
       "3223     398       food being handed out by cross international   \n",
       "3228     393                                 WFP AIR OPS update   \n",
       "3232     389  BRESMA orphanage children need help from field...   \n",
       "3334     276                            Food Distribution (WFP)   \n",
       "3335     275                            Food Distribution (WFP)   \n",
       "3336     274                            Food Distribution (WFP)   \n",
       "3397     211  Looking for family: Mirlene Lisius Bayard, Sam...   \n",
       "\n",
       "         INCIDENT DATE                                           LOCATION  \\\n",
       "152   03/03/2010 22:29      Avenue Christoph #99, Turgeau, Port au Prince   \n",
       "153   01/03/2010 22:23                                          Delmas 15   \n",
       "154   02/03/2010 00:02                            Mahotiere 79, Carrefour   \n",
       "155   03/03/2010 13:24                                        Petit Goave   \n",
       "170   21/01/2010 13:00                                           Ti Goave   \n",
       "171   21/01/2010 13:55               Clady Loute, Ogane Chatuley, Leogane   \n",
       "179   01/03/2010 15:01                   28 Estime Street, Port-au-Prince   \n",
       "219   01/03/2010 14:35                           Delmas 3, Port au Prince   \n",
       "232   28/02/2010 16:28                     Canada Turgeau, Port au Prince   \n",
       "237   02/03/2010 12:37                                        Petit Goave   \n",
       "238   28/02/2010 16:23                                       Hatte Lathan   \n",
       "262   25/02/2010 21:16                                           Le Lambi   \n",
       "263   27/02/2010 13:04                         Delmas 3, Impasse Dare #20   \n",
       "270   21/01/2010 13:20                                         Tabarre 27   \n",
       "273   21/01/2010 13:55                      Lilavois 1, ruelle de la paix   \n",
       "277   21/01/2010 13:44                            Akachon 32 at Carrefour   \n",
       "311   23/02/2010 14:48  The victim didn't specify her location anymore...   \n",
       "377   23/02/2010 22:09                           Port-de-Paix Cassave #27   \n",
       "428   20/02/2010 12:50                      Mon Repos 44 Rue Concorde #44   \n",
       "430   20/02/2010 12:54                                    Bon Repos Molea   \n",
       "431   22/02/2010 22:37                              Delmas 2 and Delmas 4   \n",
       "434   19/02/2010 23:21                              Bon Repos, Lilavois 5   \n",
       "435   19/02/2010 12:41                                 Croix-des-Bouquets   \n",
       "437   22/02/2010 17:50                                       cotes-de-fer   \n",
       "459   19/02/2010 06:55                                          Blanchard   \n",
       "486   18/02/2010 12:23  Located in Canape Vert Square, near the Nation...   \n",
       "488   18/02/2010 12:05  Located at church near Rue Capois and Ave. Jea...   \n",
       "495   18/01/2010 13:37                                          Arcachaie   \n",
       "497   18/01/2010 13:30                                     St. Bernadette   \n",
       "500   18/01/2010 13:25                                          Fermat 64   \n",
       "...                ...                                                ...   \n",
       "2996  17/01/2010 03:59                                  Cote Plage 22 #33   \n",
       "2998  17/01/2010 03:17                       petion-ville, port-au-prince   \n",
       "3003  17/01/2010 01:36                       port au prince, fontamara 43   \n",
       "3005  17/01/2010 02:50                       17 Delmas 36, Port-au-Prince   \n",
       "3011  17/01/2010 06:51                                        Pétionville   \n",
       "3012  17/01/2010 06:50                                     Port-au-Prince   \n",
       "3013  17/01/2010 12:41  Port-au-Prince, Bourdon, Impasse Dumonde, Rue ...   \n",
       "3014  17/01/2010 06:47                                     Port-au-Prince   \n",
       "3029  17/01/2010 07:26                                     Port-au-Prince   \n",
       "3043  16/01/2010 11:15                                          delmas 31   \n",
       "3047  16/01/2010 08:04                                     Labadee, Haiti   \n",
       "3050  16/01/2010 10:21                               Carrefour Moussignac   \n",
       "3053  16/01/2010 09:56                                   PACOT 4 NUMERO 3   \n",
       "3127  16/01/2010 12:50                          Delmas 75, Port-au-Prince   \n",
       "3131  16/01/2010 01:00                          Delmas 75, Port-au-Prince   \n",
       "3143  16/01/2010 11:08                230 Boulangesree St Kenscoff, Haiti   \n",
       "3147  16/01/2010 11:09                                             Jacmel   \n",
       "3183  15/01/2010 10:00                    National Palace, Port-au-Prince   \n",
       "3184  15/01/2010 09:46                             Delmas 33, Petionville   \n",
       "3191  15/01/2010 01:48                             18°34'47 N, 72°17'34 W   \n",
       "3197  15/01/2010 06:32                             18°34'47 N, 72°17'34 W   \n",
       "3206  15/01/2010 01:12                            18.394408°, -71.852375°   \n",
       "3220  15/01/2010 04:23                                            Léogâne   \n",
       "3223  15/01/2010 03:56                                   Les Cayes, Haiti   \n",
       "3228  15/01/2010 03:41                                     Port-au-Prince   \n",
       "3232  15/01/2010 10:30                                         delmas 105   \n",
       "3334  14/01/2010 01:54                                             Jacmel   \n",
       "3335  14/01/2010 01:50               Place Boyer‎, Port-au-Prince, Haiti‎   \n",
       "3336  14/01/2010 01:43                                      Jacmel, Haiti   \n",
       "3397  14/01/2010 02:29                                        Pétionville   \n",
       "\n",
       "                                            DESCRIPTION  \\\n",
       "152   english:  \\t\\n\\nMy name is PEDRO Ophilien Andr...   \n",
       "153   english:  \\t\\n\\nWe are sufering in Delma 15.We...   \n",
       "154   english:  \\t\\n\\nWe need help at Mahotiere 79. ...   \n",
       "155   english:  \\t\\n\\nUnited Nation please take care...   \n",
       "170   english:  \\t\\n\\nMy Family in Ti Goave and my m...   \n",
       "171   english:  \\t\\n\\nClaudy Loute, Ogane Chatuley i...   \n",
       "179   english:  \\t\\n\\nGood morning! my name is Ralph...   \n",
       "219   english:  \\t\\n\\nHi! my name is shakespeare and...   \n",
       "232   We in Canada turjo quote, we need food, water ...   \n",
       "237   english:  \\t\\n\\nPLEASE UNITED NATION KEEP AN E...   \n",
       "238   english:  \\t\\n\\nHi, my name is Jislene, i live...   \n",
       "262   english:\\t\\nHelp us, we are hungry we live at ...   \n",
       "263   the address house is Delams 3, Impasse Dare, #...   \n",
       "270   english:  \\t\\n\\nWe are a group of people livin...   \n",
       "273   english:  \\t\\n\\nWe\\'re in Lilavois 1, ruelle d...   \n",
       "277   english:  \\t\\n\\nI\\'m Joseph Zakarie. We are in...   \n",
       "311   The victim's name is Mirlaine and she's sms th...   \n",
       "377   Alcide Nadin,Port-de-Paix(cassave)#27 Thanks \\...   \n",
       "428   we need some tent with food at mon repos 44 ru...   \n",
       "430   We need help food tant medecin please bon repo...   \n",
       "431   english:  \\t\\n\\nPlease, when you distribute th...   \n",
       "434   I need food and water at Bon Repos, lilavois 5...   \n",
       "435   I can not resist anymore, all my ressource are...   \n",
       "437   There approximately 3500+ villager from the to...   \n",
       "459   Please, our living conditions is really bad. W...   \n",
       "486   This is distribution site 9 (out of 16 in Port...   \n",
       "488   This is distribution site 8 (out of 16 in Port...   \n",
       "495   good afternoon mr tim i m a us citizen i m in ...   \n",
       "497   We are in Saint Bernadette (Near bicentenaire)...   \n",
       "500   My name is Djemson. I live in Fermat 64. I wou...   \n",
       "...                                                 ...   \n",
       "2996  200 people with no food and no drinks at Cote ...   \n",
       "2998  Muncheez Restaurant is offering hot meals to t...   \n",
       "3003  With gratitude we are glad to announce that fo...   \n",
       "3005  For the people in Delmas, Quisqueya Christian ...   \n",
       "3011  RUE LEMOINE BV 15 OCTOBRE TORCELLES 5EME MAISO...   \n",
       "3012   Children need food, water and more\\n17 delmas 36   \n",
       "3013  This school in Port-au-Prince has been serving...   \n",
       "3014  TABARE 48 n° 8 Village Montfleury\\nCreche Nid ...   \n",
       "3029  My brother Jean-Marc Alexis was the owner of a...   \n",
       "3043  Maison des Enfants de Dieu orphanage in Port-a...   \n",
       "3047  Royal Caribbean brings passengers, aid to Laba...   \n",
       "3050  Families in carrefour don't know where to get ...   \n",
       "3053  SHE HAVE HIGHPERTENSION,DONT HAVE ANY MEDICATI...   \n",
       "3127  Delmas 75 is open, food is available for the p...   \n",
       "3131  Delmas 75 is open, food is available for the p...   \n",
       "3143  The Narcisse family does not know where to get...   \n",
       "3147  3 shelters for 1000 ppl. We're distributing fa...   \n",
       "3183  WFP distributed high energy biscuits, jerry ca...   \n",
       "3184  WFP distributed high energy biscuits, jerry ca...   \n",
       "3191  There is a water distribution site and they ar...   \n",
       "3197  U.S. established an air link to the airport af...   \n",
       "3206  0.6% sodium hypochlorite solution in 55-gallon...   \n",
       "3220  My grandmother and many other Haitians have su...   \n",
       "3223  1/2 million meals being handed out to refugees...   \n",
       "3228  WFP's UNHAS will begin a 10-seat Cessna Carava...   \n",
       "3232  Directions to BRESMA III (Jamie and Ali's Hous...   \n",
       "3334  WFP food distributions began on 13 January in ...   \n",
       "3335  WFP food distributions began on 13 January in ...   \n",
       "3336  WFP food distributions began on 13 January in ...   \n",
       "3397  I would like to be heard from my wife Mirlene ...   \n",
       "\n",
       "                                               CATEGORY   LATITUDE  LONGITUDE  \\\n",
       "152   2d. Refuge | Shelter needed, 7a. Distribution ...  18.533900 -72.334200   \n",
       "153   7a. Distribution d'aliments | Food distributio...  18.554070 -72.313970   \n",
       "154   7a. Distribution d'aliments | Food distributio...  18.533553 -72.398201   \n",
       "155   7a. Distribution d'aliments | Food distributio...  18.434000 -72.857600   \n",
       "170   7. Secours | Services Available, 2d. Refuge | ...  18.428800 -72.862700   \n",
       "171   7. Secours | Services Available, 2d. Refuge | ...  18.513040 -72.617420   \n",
       "179   2. Urgences logistiques | Vital Lines, 2b. Pen...  18.546060 -72.327400   \n",
       "219   7d. Services de sante | Hospital/Clinics Opera...  18.558618 -72.322254   \n",
       "232   2d. Refuge | Shelter needed, 7a. Distribution ...  18.533770 -72.330012   \n",
       "237   2b. Penurie d'eau | Water shortage, 2a. Penuri...  18.432710 -72.862780   \n",
       "238   7a. Distribution d'aliments | Food distributio...  18.616315 -72.268066   \n",
       "262   7a. Distribution d'aliments | Food distributio...  18.504354 -72.447968   \n",
       "263   7a. Distribution d'aliments | Food distributio...  18.558030 -72.320570   \n",
       "270   7a. Distribution d'aliments | Food distributio...  18.580760 -72.267270   \n",
       "273   7a. Distribution d'aliments | Food distributio...  18.558690 -72.304700   \n",
       "277   7a. Distribution d'aliments | Food distributio...  18.541370 -72.398400   \n",
       "311   2d. Refuge | Shelter needed, 7a. Distribution ...  19.102140 -72.699560   \n",
       "377   7a. Distribution d'aliments | Food distributio...  19.940000 -72.830800   \n",
       "428   2d. Refuge | Shelter needed, 7a. Distribution ...  18.430050 -72.769790   \n",
       "430   7d. Services de sante | Hospital/Clinics Opera...  18.625700 -72.270900   \n",
       "431   7a. Distribution d'aliments | Food distributio...  18.544600 -72.278000   \n",
       "434   7a. Distribution d'aliments | Food distributio...  18.625760 -72.270030   \n",
       "435   7a. Distribution d'aliments | Food distributio...  18.577267 -72.232361   \n",
       "437   5a. Structure effondres | Collapsed structure,...  18.182247 -73.004265   \n",
       "459   7a. Distribution d'aliments | Food distributio...  18.598420 -72.313520   \n",
       "486   7a. Distribution d'aliments | Food distributio...  18.532510 -72.315940   \n",
       "488   7a. Distribution d'aliments | Food distributio...  18.536430 -72.336110   \n",
       "495   2d. Refuge | Shelter needed, 7a. Distribution ...  18.847200 -72.484000   \n",
       "497   7a. Distribution d'aliments | Food distributio...  18.531100 -72.354300   \n",
       "500   7a. Distribution d'aliments | Food distributio...  18.481600 -72.288700   \n",
       "...                                                 ...        ...        ...   \n",
       "2996  1. Urgences | Emergency, 2b. Penurie d'eau | W...  18.539268 -72.395353   \n",
       "2998  7a. Distribution d'aliments | Food distributio...  18.517865 -72.290511   \n",
       "3003  1. Urgences | Emergency, 7. Secours | Services...  18.539269 -72.336408   \n",
       "3005  7a. Distribution d'aliments | Food distributio...  18.537153 -72.294390   \n",
       "3011  2b. Penurie d'eau | Water shortage, 7d. Servic...  18.512500 -72.285278   \n",
       "3012  1. Urgences | Emergency, 2b. Penurie d'eau | W...  18.539167 -72.335000   \n",
       "3013  7a. Distribution d'aliments | Food distributio...  18.540977 -72.315617   \n",
       "3014  2b. Penurie d'eau | Water shortage, 7d. Servic...  18.539167 -72.335000   \n",
       "3029  1. Urgences | Emergency, 5a. Structure effondr...  18.539167 -72.335000   \n",
       "3043  4. Menaces | Security Threats, 2b. Penurie d'e...  18.560333 -72.301679   \n",
       "3047  7a. Distribution d'aliments | Food distributio...  19.786389 -72.245556   \n",
       "3050  1. Urgences | Emergency, 2b. Penurie d'eau | W...  18.383333 -73.100000   \n",
       "3053  7d. Services de sante | Hospital/Clinics Opera...  18.532921 -72.337761   \n",
       "3127  7. Secours | Services Available, 7a. Distribut...  18.535891 -72.291884   \n",
       "3131  2. Urgences logistiques | Vital Lines, 7a. Dis...  18.544722 -72.302778   \n",
       "3143  7a. Distribution d'aliments | Food distributio...  18.570107 -72.333984   \n",
       "3147  7. Secours | Services Available, 7a. Distribut...  18.234167 -72.534722   \n",
       "3183  7a. Distribution d'aliments | Food distributio...  18.542076 -72.336817   \n",
       "3184  7a. Distribution d'aliments | Food distributio...  18.549033 -72.304974   \n",
       "3191  7a. Distribution d'aliments | Food distributio...  18.525108 -72.349091   \n",
       "3197  7a. Distribution d'aliments | Food distributio...  18.579721 -72.292778   \n",
       "3206  7a. Distribution d'aliments | Food distributio...  18.397160 -71.852686   \n",
       "3220  1. Urgences | Emergency, 5a. Structure effondr...  18.510833 -72.633889   \n",
       "3223  7. Secours | Services Available, 7a. Distribut...  18.190359 -73.748291   \n",
       "3228  7. Secours | Services Available, 7a. Distribut...  18.576616 -72.289352   \n",
       "3232  2c. Eau contaminee | Contaminated water, 2b. P...  18.527397 -72.271130   \n",
       "3334  7a. Distribution d'aliments | Food distributio...  18.238072 -72.534050   \n",
       "3335  7a. Distribution d'aliments | Food distributio...  18.512570 -72.282035   \n",
       "3336  7a. Distribution d'aliments | Food distributio...  18.238072 -72.534050   \n",
       "3397  1. Urgences | Emergency, 7d. Services de sante...  18.512500 -72.285278   \n",
       "\n",
       "     APPROVED VERIFIED     ...       category_7c  category_7d  category_7g  \\\n",
       "152       YES       NO     ...               0.0          0.0          0.0   \n",
       "153       YES       NO     ...               0.0          0.0          0.0   \n",
       "154       YES       NO     ...               0.0          0.0          0.0   \n",
       "155       YES       NO     ...               0.0          0.0          0.0   \n",
       "170       YES       NO     ...               0.0          0.0          0.0   \n",
       "171       YES       NO     ...               0.0          0.0          0.0   \n",
       "179       YES       NO     ...               0.0          0.0          0.0   \n",
       "219       YES       NO     ...               0.0          1.0          0.0   \n",
       "232       YES       NO     ...               0.0          0.0          0.0   \n",
       "237       YES       NO     ...               0.0          0.0          0.0   \n",
       "238       YES       NO     ...               1.0          0.0          0.0   \n",
       "262       YES       NO     ...               0.0          0.0          0.0   \n",
       "263       YES       NO     ...               0.0          0.0          0.0   \n",
       "270       YES       NO     ...               0.0          0.0          0.0   \n",
       "273       YES       NO     ...               0.0          0.0          0.0   \n",
       "277       YES       NO     ...               0.0          0.0          0.0   \n",
       "311       YES       NO     ...               0.0          0.0          0.0   \n",
       "377       YES       NO     ...               0.0          0.0          0.0   \n",
       "428       YES       NO     ...               0.0          0.0          0.0   \n",
       "430       YES       NO     ...               0.0          1.0          0.0   \n",
       "431       YES       NO     ...               0.0          0.0          0.0   \n",
       "434       YES       NO     ...               0.0          0.0          0.0   \n",
       "435       YES       NO     ...               0.0          0.0          0.0   \n",
       "437       YES       NO     ...               0.0          1.0          0.0   \n",
       "459       YES       NO     ...               0.0          0.0          0.0   \n",
       "486       YES      YES     ...               0.0          0.0          0.0   \n",
       "488       YES      YES     ...               0.0          0.0          0.0   \n",
       "495       YES       NO     ...               0.0          0.0          0.0   \n",
       "497       YES       NO     ...               0.0          0.0          0.0   \n",
       "500       YES       NO     ...               0.0          0.0          0.0   \n",
       "...       ...      ...     ...               ...          ...          ...   \n",
       "2996      YES       NO     ...               0.0          0.0          0.0   \n",
       "2998      YES       NO     ...               0.0          0.0          0.0   \n",
       "3003      YES       NO     ...               0.0          0.0          0.0   \n",
       "3005      YES       NO     ...               1.0          0.0          0.0   \n",
       "3011      YES       NO     ...               1.0          1.0          0.0   \n",
       "3012      YES       NO     ...               1.0          1.0          0.0   \n",
       "3013      YES       NO     ...               0.0          0.0          0.0   \n",
       "3014      YES       NO     ...               1.0          1.0          0.0   \n",
       "3029      YES       NO     ...               0.0          0.0          0.0   \n",
       "3043      YES       NO     ...               0.0          1.0          0.0   \n",
       "3047      YES       NO     ...               0.0          0.0          0.0   \n",
       "3050      YES       NO     ...               0.0          1.0          0.0   \n",
       "3053      YES       NO     ...               0.0          1.0          0.0   \n",
       "3127      YES       NO     ...               0.0          0.0          0.0   \n",
       "3131      YES       NO     ...               0.0          0.0          0.0   \n",
       "3143      YES       NO     ...               0.0          0.0          0.0   \n",
       "3147      YES       NO     ...               0.0          0.0          0.0   \n",
       "3183      YES       NO     ...               1.0          0.0          0.0   \n",
       "3184      YES      YES     ...               1.0          0.0          0.0   \n",
       "3191      YES      YES     ...               0.0          0.0          1.0   \n",
       "3197      YES      YES     ...               0.0          0.0          0.0   \n",
       "3206      YES      YES     ...               0.0          0.0          0.0   \n",
       "3220      YES       NO     ...               0.0          0.0          1.0   \n",
       "3223      YES       NO     ...               0.0          0.0          0.0   \n",
       "3228      YES      YES     ...               0.0          0.0          0.0   \n",
       "3232      YES      YES     ...               0.0          0.0          0.0   \n",
       "3334      YES       NO     ...               0.0          0.0          0.0   \n",
       "3335      YES       NO     ...               0.0          0.0          0.0   \n",
       "3336      YES       NO     ...               0.0          0.0          0.0   \n",
       "3397      YES       NO     ...               0.0          1.0          0.0   \n",
       "\n",
       "      category_7h  category_8  category_8a  category_8c  category_8d  \\\n",
       "152           0.0         0.0          0.0          0.0          0.0   \n",
       "153           0.0         0.0          0.0          0.0          0.0   \n",
       "154           0.0         0.0          0.0          0.0          0.0   \n",
       "155           0.0         0.0          0.0          0.0          0.0   \n",
       "170           0.0         0.0          0.0          0.0          0.0   \n",
       "171           0.0         0.0          0.0          0.0          0.0   \n",
       "179           0.0         0.0          0.0          0.0          0.0   \n",
       "219           0.0         0.0          0.0          0.0          0.0   \n",
       "232           0.0         0.0          0.0          0.0          0.0   \n",
       "237           0.0         0.0          0.0          0.0          0.0   \n",
       "238           0.0         0.0          0.0          0.0          0.0   \n",
       "262           0.0         0.0          0.0          0.0          0.0   \n",
       "263           0.0         0.0          0.0          0.0          0.0   \n",
       "270           0.0         0.0          0.0          0.0          0.0   \n",
       "273           0.0         0.0          0.0          0.0          0.0   \n",
       "277           0.0         0.0          0.0          0.0          0.0   \n",
       "311           0.0         0.0          0.0          0.0          0.0   \n",
       "377           0.0         0.0          0.0          0.0          0.0   \n",
       "428           0.0         0.0          0.0          0.0          0.0   \n",
       "430           0.0         0.0          0.0          0.0          0.0   \n",
       "431           0.0         1.0          0.0          0.0          0.0   \n",
       "434           0.0         0.0          0.0          0.0          0.0   \n",
       "435           0.0         0.0          0.0          0.0          0.0   \n",
       "437           0.0         0.0          0.0          0.0          0.0   \n",
       "459           0.0         0.0          0.0          0.0          0.0   \n",
       "486           0.0         0.0          0.0          0.0          0.0   \n",
       "488           0.0         0.0          0.0          0.0          0.0   \n",
       "495           0.0         0.0          0.0          0.0          0.0   \n",
       "497           0.0         0.0          0.0          0.0          0.0   \n",
       "500           0.0         0.0          0.0          0.0          0.0   \n",
       "...           ...         ...          ...          ...          ...   \n",
       "2996          0.0         0.0          0.0          0.0          0.0   \n",
       "2998          0.0         0.0          0.0          0.0          0.0   \n",
       "3003          0.0         0.0          0.0          0.0          0.0   \n",
       "3005          0.0         0.0          0.0          0.0          0.0   \n",
       "3011          0.0         0.0          0.0          0.0          0.0   \n",
       "3012          0.0         0.0          0.0          0.0          0.0   \n",
       "3013          0.0         0.0          0.0          0.0          0.0   \n",
       "3014          0.0         0.0          0.0          0.0          0.0   \n",
       "3029          0.0         0.0          0.0          0.0          0.0   \n",
       "3043          0.0         0.0          0.0          0.0          0.0   \n",
       "3047          0.0         0.0          0.0          0.0          0.0   \n",
       "3050          0.0         0.0          0.0          0.0          0.0   \n",
       "3053          0.0         0.0          0.0          0.0          0.0   \n",
       "3127          0.0         0.0          0.0          0.0          0.0   \n",
       "3131          0.0         0.0          0.0          0.0          0.0   \n",
       "3143          0.0         0.0          0.0          0.0          0.0   \n",
       "3147          0.0         0.0          0.0          0.0          0.0   \n",
       "3183          0.0         0.0          0.0          0.0          0.0   \n",
       "3184          0.0         0.0          0.0          0.0          0.0   \n",
       "3191          0.0         0.0          0.0          0.0          0.0   \n",
       "3197          0.0         0.0          0.0          0.0          0.0   \n",
       "3206          0.0         0.0          0.0          0.0          0.0   \n",
       "3220          0.0         0.0          0.0          0.0          0.0   \n",
       "3223          0.0         0.0          0.0          0.0          0.0   \n",
       "3228          0.0         0.0          0.0          0.0          0.0   \n",
       "3232          0.0         0.0          0.0          0.0          0.0   \n",
       "3334          0.0         0.0          0.0          0.0          0.0   \n",
       "3335          0.0         0.0          0.0          0.0          0.0   \n",
       "3336          0.0         0.0          0.0          0.0          0.0   \n",
       "3397          0.0         0.0          0.0          0.0          1.0   \n",
       "\n",
       "      category_8e  category_8f  \n",
       "152           0.0          0.0  \n",
       "153           0.0          0.0  \n",
       "154           0.0          0.0  \n",
       "155           0.0          0.0  \n",
       "170           0.0          0.0  \n",
       "171           0.0          0.0  \n",
       "179           0.0          0.0  \n",
       "219           0.0          0.0  \n",
       "232           0.0          0.0  \n",
       "237           0.0          0.0  \n",
       "238           0.0          0.0  \n",
       "262           0.0          0.0  \n",
       "263           0.0          0.0  \n",
       "270           0.0          0.0  \n",
       "273           0.0          0.0  \n",
       "277           0.0          0.0  \n",
       "311           0.0          0.0  \n",
       "377           0.0          0.0  \n",
       "428           0.0          0.0  \n",
       "430           0.0          0.0  \n",
       "431           0.0          0.0  \n",
       "434           0.0          0.0  \n",
       "435           0.0          0.0  \n",
       "437           0.0          0.0  \n",
       "459           0.0          0.0  \n",
       "486           0.0          0.0  \n",
       "488           0.0          0.0  \n",
       "495           0.0          0.0  \n",
       "497           0.0          0.0  \n",
       "500           0.0          0.0  \n",
       "...           ...          ...  \n",
       "2996          0.0          0.0  \n",
       "2998          0.0          0.0  \n",
       "3003          0.0          0.0  \n",
       "3005          0.0          0.0  \n",
       "3011          0.0          0.0  \n",
       "3012          0.0          0.0  \n",
       "3013          0.0          0.0  \n",
       "3014          0.0          0.0  \n",
       "3029          0.0          0.0  \n",
       "3043          0.0          0.0  \n",
       "3047          0.0          0.0  \n",
       "3050          0.0          0.0  \n",
       "3053          1.0          0.0  \n",
       "3127          0.0          0.0  \n",
       "3131          0.0          0.0  \n",
       "3143          0.0          0.0  \n",
       "3147          0.0          0.0  \n",
       "3183          0.0          0.0  \n",
       "3184          0.0          0.0  \n",
       "3191          0.0          0.0  \n",
       "3197          0.0          0.0  \n",
       "3206          0.0          0.0  \n",
       "3220          1.0          0.0  \n",
       "3223          0.0          0.0  \n",
       "3228          0.0          0.0  \n",
       "3232          0.0          0.0  \n",
       "3334          0.0          0.0  \n",
       "3335          0.0          0.0  \n",
       "3336          0.0          0.0  \n",
       "3397          0.0          0.0  \n",
       "\n",
       "[330 rows x 55 columns]"
      ]
     },
     "execution_count": 316,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cat_data =data[data['category_%s' % code] == 1] \n",
    "cat_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 319,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# 计算地图的投影坐标\n",
    "#x,y = m(cat_data.LONGITUDE, cat_data.LATITUDE)  # 报错，改为下面语句\n",
    "x,y = m(cat_data.LONGITUDE.values, cat_data.LATITUDE.values)\n",
    "# m(cat_data.LOCATION)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 320,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "E:\\Anaconda\\lib\\site-packages\\mpl_toolkits\\basemap\\__init__.py:3260: MatplotlibDeprecationWarning: The ishold function was deprecated in version 2.0.\n",
      "  b = ax.ishold()\n",
      "E:\\Anaconda\\lib\\site-packages\\mpl_toolkits\\basemap\\__init__.py:3269: MatplotlibDeprecationWarning: axes.hold is deprecated.\n",
      "    See the API Changes document (http://matplotlib.org/api/api_changes.html)\n",
      "    for more details.\n",
      "  ax.hold(b)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x23eef128>]"
      ]
     },
     "execution_count": 320,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "m.plot(x, y, 'k.', alpha=0.5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 321,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x16c54860>"
      ]
     },
     "execution_count": 321,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ax.set_title('%s: %s' %(code, english_mapping[code]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 322,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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VE5wpaen8/f1hZWWFIUOGoKCgAPb29o3av1HXzCorKzPGGIYPHw5ra2usXbuWvr4l/ygj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\nTGlxMssYY4wxxpTW/wO4r907BXS+JAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x16b5e1d0>"
      ]
     },
     "execution_count": 322,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fig"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 323,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1583,\n",
       " 3,\n",
       " [-72.749246, 18.409952, 0.0, 0.0],\n",
       " [-71.973789, 18.7147105, 0.0, 0.0],\n",
       " <matplotlib.collections.LineCollection at 0x150f6c18>)"
      ]
     },
     "execution_count": 323,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "shapefile_path = 'ch08/PortAuPrince_Roads/PortAuPrince_Roads'\n",
    "m.readshapefile(shapefile_path, 'roads')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 324,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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VE5wpaen8/f1hZWWFIUOGoKCgAPb29o3av1HXzCorKzPGGIYPHw5ra2usXbuWvr4l/ygj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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x16b5e1d0>"
      ]
     },
     "execution_count": 324,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fig"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}