diff --git a/0165180(7).ipynb b/0165180(7).ipynb
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+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## 第七次练习"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "+ 请务必交到exer7文件夹下，**谢绝交到master下**\n",
+    "+ 请不要改动任何文件，拜托\n",
+    "+ 请在12月20日前提交。"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "请写一下姓名和学号：\n",
+    "+ 姓名  文华虎\n",
+    "+ 学号  0165180"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "%matplotlib inline"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "import pandas as pd\n",
+    "import matplotlib.pyplot as plt\n",
+    "import matplotlib\n",
+    "plt.rcParams['font.sans-serif']=['SimHei'] #用来正常显示中文标签\n",
+    "plt.rcParams['axes.unicode_minus']=False #用来正常显示负号"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "ename": "NameError",
+     "evalue": "name '请参考下面命令将CEPS' is not defined",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
+      "\u001b[0;32m<ipython-input-6-6a01b7775bb6>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0m请参考下面命令将CEPS\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcsv数据读入python\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
+      "\u001b[0;31mNameError\u001b[0m: name '请参考下面命令将CEPS' is not defined"
+     ]
+    }
+   ],
+   "source": [
+    "请参考下面命令将CEPS.csv数据读入python"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "D:\\python\\lib\\site-packages\\IPython\\core\\interactiveshell.py:2717: DtypeWarning: Columns (20,22,23,25,28,29,39,49,74,124,125,126,127,128,129,130,131,138,140,141,147,160,161,162,165,170,174,175,176,177,179,180,181,182,183,184,188,191,194,195,196,199,221,222,223,224,251,252,254,289,290,294,295,296) have mixed types. Specify dtype option on import or set low_memory=False.\n",
+      "  interactivity=interactivity, compiler=compiler, result=result)\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>ids</th>\n",
+       "      <th>clsids</th>\n",
+       "      <th>schids</th>\n",
+       "      <th>ctyids</th>\n",
+       "      <th>frame</th>\n",
+       "      <th>subsample</th>\n",
+       "      <th>sweight</th>\n",
+       "      <th>fall</th>\n",
+       "      <th>grade9</th>\n",
+       "      <th>stcog</th>\n",
+       "      <th>...</th>\n",
+       "      <th>steco_3c</th>\n",
+       "      <th>stonly</th>\n",
+       "      <th>stsib</th>\n",
+       "      <th>stsibrank</th>\n",
+       "      <th>stmedu</th>\n",
+       "      <th>stfedu</th>\n",
+       "      <th>stprhedu</th>\n",
+       "      <th>stfdrunk</th>\n",
+       "      <th>stprfight</th>\n",
+       "      <th>stprrel</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3</td>\n",
+       "      <td>218.738892</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>11</td>\n",
+       "      <td>...</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>3</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3</td>\n",
+       "      <td>216.518234</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>17</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>8</td>\n",
+       "      <td>5</td>\n",
+       "      <td>8</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>3</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3</td>\n",
+       "      <td>216.518234</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>12</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>4</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3</td>\n",
+       "      <td>218.738892</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>10</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>6</td>\n",
+       "      <td>7</td>\n",
+       "      <td>7</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>5</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3</td>\n",
+       "      <td>217.553040</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>10</td>\n",
+       "      <td>...</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>7</td>\n",
+       "      <td>8</td>\n",
+       "      <td>8</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>5 rows × 300 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   ids  clsids  schids  ctyids  frame  subsample     sweight  fall  grade9  \\\n",
+       "0    1       1       1       1      3          3  218.738892     0       0   \n",
+       "1    2       1       1       1      3          3  216.518234     0       0   \n",
+       "2    3       1       1       1      3          3  216.518234     0       0   \n",
+       "3    4       1       1       1      3          3  218.738892     0       0   \n",
+       "4    5       1       1       1      3          3  217.553040     0       0   \n",
+       "\n",
+       "   stcog   ...    steco_3c stonly stsib stsibrank stmedu stfedu stprhedu  \\\n",
+       "0     11   ...           3      1                      3      3        3   \n",
+       "1     17   ...           2      1                      8      5        8   \n",
+       "2     12   ...           2      2     1         3      3      3        3   \n",
+       "3     10   ...           2      1                      6      7        7   \n",
+       "4     10   ...           3      1                      7      8        8   \n",
+       "\n",
+       "  stfdrunk stprfight stprrel  \n",
+       "0        1         1       2  \n",
+       "1        1         1       2  \n",
+       "2        1         1       1  \n",
+       "3        1         1       2  \n",
+       "4        1         1       2  \n",
+       "\n",
+       "[5 rows x 300 columns]"
+      ]
+     },
+     "execution_count": 24,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df = pd.read_csv('CEPS.csv',encoding='gb2312')\n",
+    "df.head()\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "下面的图都至少需要在图上标注：\n",
+    "+ 图标题\n",
+    "+ x轴标题\n",
+    "+ y轴标题\n",
+    "+ 适当修改x轴或者y轴的刻度及标签，使之清晰美观\n",
+    "+ 根据需要添加图例"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### 散点图\n",
+    "反映期中考试标准化成绩语文（stdchn）和期中考试标准化成绩数学（stdmat）的相关关系"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "D:\\python\\lib\\site-packages\\IPython\\core\\interactiveshell.py:2717: DtypeWarning: Columns (20,22,23,25,28,29,39,49,74,124,125,126,127,128,129,130,131,138,140,141,147,160,161,162,165,170,174,175,176,177,179,180,181,182,183,184,188,191,194,195,196,199,221,222,223,224,251,252,254,289,290,294,295,296) have mixed types. Specify dtype option on import or set low_memory=False.\n",
+      "  interactivity=interactivity, compiler=compiler, result=result)\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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xHJnq5f2qZ2zGsGFAbD57GDyDtdbsfd7tsSkfHrvkPanHx11r4MaN2/bEgmPL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\nRU5ErkJggg==\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x1a377bd4dd8>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sentinels = {'stdchn': [' '], 'stdmat': [' ']}\n",
+    "df = pd.read_csv('CEPS.csv',encoding='gb2312', na_values=sentinels)\n",
+    "df = df.head(200)\n",
+    "\n",
+    "x1=df['stdchn']\n",
+    "x=[]\n",
+    "for x2 in x1:\n",
+    "    x.append(float(x2))\n",
+    "y=[]\n",
+    "y1=df['stdmat']\n",
+    "for y2 in y1:\n",
+    "    y.append(float(y2))\n",
+    "\n",
+    "fig=plt.figure()\n",
+    "ax1=fig.add_subplot()\n",
+    "plt.title('语文成绩和数学成绩散点图', fontsize=20)\n",
+    "plt.xlabel('语文成绩', fontsize=12)\n",
+    "plt.ylabel('数学成绩', fontsize=12)\n",
+    "plt.scatter(x, y)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### 饼图\n",
+    "对问题“你是独生子女吗”(b01)的回答有“是”和“否”两种回答，相应的数字分别是1和2。请画一个饼图反映二者的比例。"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "D:\\python\\lib\\site-packages\\pandas\\computation\\expressions.py:182: UserWarning: evaluating in Python space because the '+' operator is not supported by numexpr for the bool dtype, use '|' instead\n",
+      "  unsupported[op_str]))\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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jR3xX2xrDsXLa3mTIHZtAjCNJW9uRuL6GFb0yWDBACjm7XgGeZvgA3+o/P2rH\no31mI+WuXXaJzCEfo64Bfdv07/evNZ0jX0khZ1HqMk93AwoI2IN90YENj/5JZi7GRpddLj/YYzAQ\n03sKfOqTpnPkMynkLIu0Nu8B/gBMAxh8dc3WWOdm2dJwDHQwUU6fPkq21rpzv75+wrf6ZN7dIClk\nM1YBL5FaddHX/MdHk4P9XWYj5Z6duONip+PBK7vt2+b+uH+l6Rz5TgrZgEhrcxL4Fc4FUUM6GU/2\nP3//vdpOypxnBrV7sn+x0/Foe6/detOzsY+aziGkkI1JTV3cgjNKVrHOzd3RbevkhJEMaldy+vSR\n9A/pgae2J99203MxWZHiAlLIZq0GngCmA/Q//0BzvKfzFbORckentzpkOoObJW2tn92Z/MSVf4y0\nmM4iHFLIBqVWXfwO6CF1wkjP3++8LznY3200WI6Ie4LeaIKsX1tvvFjXZf/2/NsHfm06h3iDFLJh\nkdbmAeBmoAwI6qGBWO8zd/9ONiDKjP6ET1YNHMS2HrvlV8/HPmg6h3gzKWQXiLQ2bwZuxVkK50ns\n3dHTv+4vf9Datg1HG/d6ksGsXux0PNg3qHuf3iHzxm4kheweTwIPATMBom1rtw1uee5Bs5HGvz12\nkZTOCJG4jt6/KX7VlX+MtJrOIv6ZFLJLjDiLbwOpk0b2r/vLmljXlmeNBhvndtml8ltGSjypE7/f\nEF9x3X2DD5nOIg5OCtlFIq3NCeDnwD6gEqDnqd89HN/XsdFosHGsU1fI6dM4Z+Ld90riF396JfFd\n01nEoUkhu0yktbkf+BHgB4rRtu55/LZ7En27thiONi61Mynv3+Naa+5vSdz9m/Xx/1zZEk+aziMO\nLe/frG4UaW3eCfwQmEDqTL59j//6ruTAvu2Go407O5Wcrffw5sQjv1ob/9DKlnjMdBZxeFLILhVp\nbd4I/BTnitVBHYvE94VvuzM50LPTcLRxpV1NzutCfmxr4h83r46/b2VLfL/pLOLIlGz96G6h2roz\ngY8CO4CYp7AkWGFdf503VDbVcLRxYWJi1+Ca4v/IywuePvpq4pkfNceWr2yJdx7tY5RSfwJKcPZZ\n8QA+IIazZWxQa33WmIQVgBTyuBCqrTsP+CDDpRwqK6g457r3eYsqZhiO5n7aZkvwatvrUXnz26Ct\ntb53Y+LJ29fFr1nZEh/VNJdSqhhnGeZvtdY3ZzahOJS8eZOOZ5HW5sdwLv80HfDbkd7o3kf/7/Z4\nT6fsQXBEUy8AAAAJNElEQVQkykMk6cmbsx4Ttk7eujb+yO3r4h9Mo4xPAZ7BWRO/USm1Sin1H0qp\nYEbDin8ihTx+rALuAGYABToeTexb9cu7YnJdviPqS+THxU5jSR2/6dnYfX9uSXxoZUv81WN9vFJq\nvlLq1zhbw34UeCR11zXAIuAlpdTZmUssDiSFPE5EWpt1pLX5EeBnOFt2Okvinrj9geiOlx83HM/V\n9iULc351QSSuB7/7j9hvHt2a/LeVLfEdo3waD/A3YInW+qnhG7XW7Vrr63GmzY56PlocO5lDHodC\ntXUnAP8JRHBOIqF40UVLCueeVq+UkssWHeC22H+/ZpXunGk6x1jpier+bz819KsN3fZXVrbE07po\nrlKqCmgFXjzgrrcAi7XW29J5fnF4MkIehyKtzS8D38D5/zcJnNOs96//6291Ip4Xv54fiy5dnrOn\nT2/rsbu+8lj0exu67S+kW8YpCWCt1vqskR9AMyAnlYwxKeRxKtLa3AZ8HRgApgIMbm7evO+J23+e\njPS2m8zmNh069y52qrXmsa2JFz/zl+hXtvboG1e2xDN14NIGTlFKPTPyAzg9Q88vDkMKeRyLtDZ3\n4YyU24AawJvYt7N37yM33xLr3rraZDY3ybWLnUYTevCnz8Ye/cEzsW/GbX6Z4TPw/MDzWuvTR37g\nrLrwZvB1xEHIHHIOCNXW+YF3ApfiHHSJABQtPP+kUO3plymP128yn2lnDj3VfWfZTVWmc2TCzj67\n88a/Dz36Wq/+AfD8ypZ4Rv8CK6U8QInWujeTzyuOjhRyjgjV1ilgCfARIA7sBghUH1dVuuTyd3sK\niitN5jNpTnxL36qSL5WazpGuJ7clNvzwmdh9cZubVrbEu0znEZknhZxjQrV1U4FPAFOA7YBWvoC3\ndOlyKzDl+DPzcRVGoT0Q3xj6yLj9LWEwrgdvfSH+zMObE7cCf1jZEperoOQoKeQcFKqtK8RZzH82\nI6YwgtMWTCledPEV3sKSnPj1/Vhs8r9vKOBlXJ1pprVmXZe98cfNsdW7I/qnwHOZnqIQ7iKFnKNS\nUxinAe/H2SCmA9B4fZ7SU684Jzht/tlKefLmoO7z6tqeCcFkuekcR2vfoN79izWx557annwe+NnK\nlrisnMkDUsg5LlRbVw5cDdQBXTjL5AhMOX5yyeJLLs+XXeNW2R/qmhManGw6x5EkbJ149NXkml+s\niW2M2/wJeFimKPKHFHIeSI2WTwY+BASAdpztFSk+8YLFBbNPOd/jDxYbjDjm/hj/1I5TS3ZPN53j\ncLbus1/94TNDL2zt0c8Bt8uoOP9IIeeRUG1dKXAlcCbOKdc9ACpYFCg5+dKzglOOPz1Xl8jdPPSF\nbZeUbZ1lOsfB9ET1nntejr/w55ZEC/AboHllSzxnzy4UhyaFnGdSo+UTcA76TcE56BcF8JVNLile\ndJHlr5x1cq6txvhy9Htt15evqTGdY6SeqN7zYGt89d0vJbqTmlXAvRk6/VmMU1LIeSp1MsmZwHuA\nIE4xxwH8k2ZPLDrh3LP9E6efmCsH/j4c/fX2L5b/xRUb+vdE9Z6HWhPP/uGl+K6kph24dWVLfJPp\nXMI8KeQ8F6qtKwbeClyGM6/cSWoTGV95dWnRCeedHqiavUR5feP62nSXRh/u+Fn57VNMZjigiDuB\nu4G1ciVoMUwKWQAQqq2bgFPK56Zuen3E7CksCRa/5fylganz6sbrwb/FsbV7/lT6nYkmXrtrv73j\n0a2JF+9+KTFcxH8AXpAiFgeSQhZvEqqtmwhYwEU465d3AYMAyhfwFi0498Tg1PmneIvH1/X8Jic7\nIs1Fnw1l6/WiCT34Ure97k+vxDet67I1zpJDKWJxWFLI4qBSUxnLgMuBYpxVGa8fcPJXzppQOHfp\nokDV7EWeQGGZoZhHTemE3lJwLZ4xPFiptWZHn371768lX7hnY3xvLIkPp4jvRopYHAUpZHFYodq6\nAM6mRZfjXDoqgTNqfn3Lx4LZS2oKZp642F8xdYGb55pf8l49UOTXRZl+3v4h3bO+K7n+no2J1s17\nbQ/OnsLNwOPAZlnCJo6WFLI4KqnlcjU4Z/ydCxTg7JGxB6eAUP6gr2DW4ppg9XG1vvIptZ5gqMJU\n3oN5hvfvqS6Ipz2PnLR1smO/3rZxl936+LZE2/ou24Ozj3A78DDOgbr96b6OyD9SyOKYpUbNJ+AU\n8yJAAf04J5q8Phr0T5o9sWDGwlp/5Yxab9GEWcrjMbrB+UPJj7YvKOof1ani+2O699V9duvajuTm\nv25J7OyPUYJTwnGckfBTwGuy+Y9IhxSySEtqr4wTcS7xMw/nKjQJYC+pE04AVKDQH5w6f6q/cuZ0\nX9nkGd6iimnZXrFxR+yzr51d2nHEi53Gkzq+d1B3de7Xndt67Y417cntazvtGDA8Vz4ArAZeAFpW\ntsSjh3wyIY6BFLLImNS2n3OBk3B2mivFGT0PAL2kltEN85ZWFQer5071lU+d4i0qm+gJFleoQGGF\nxx/M+DwvwHejN7S9q/yVmpG3Dcb1wO6I7mzvtzvbenTnhu5kx4vd9l5bU4BTwEGc9dmv4lzGqAXY\nKfPCYixIIYsxkZpzngrUAguBBUBh6m6NM8WxH2c0/SYqEPL7J0yt8JVWlXuLJ1R4gkUlyhcoUL5A\nUHn9QeX1BUn9V3m8Aa21Bp1Eaxtt21rrJNq20TpJYihetH97hc/reeWi6F/2nK3XxLsHdN/OPru3\nrcfu2xclAYRwVpIEUtkUztz4y8BanANzMicsxpwUssiKVEFXAtOBGcB8YA7OPOzwm9ALDOGse46m\nPk+LQqtFavNVE+n/s1IEcEa8wytBhke57UArsAVn3+jOlS3xwXRfW4hjJYUsjEmVdAlQkfqYAEzD\nGVlXA+U4ZT38MdKB64kP9kZWgJqnXps2jd0veBTdQDfO2uA9OGcjdq9siccP8lghsk4KWbhWqLbO\nA6+Paoc/CnhjlKtx9t2wUx/JEf8dwlmWNwDEI63N8kYXrieFLIQQLpETWysKIUQukEIWQgiXkEIW\nQgiXkEIWQgiXkEIWQgiXkEIWQgiXkEIWQgiXkEIWQgiXkEIWQgiXkEIWQgiXkEIWQgiXkEIWQgiX\nkEIWQgiXkEIWQgiXkEIWQgiXkEIWQgiXkEIWQgiX+P/t/jGhHlz5IAAAAABJRU5ErkJggg==\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x1a378267eb8>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "labels = ('是', '否')\n",
+    "x=sum(df.b01==1)/sum((df.b01==1)+(df.b01==2))\n",
+    "y=sum(df.b01==2)/sum((df.b01==1)+(df.b01==2))\n",
+    "sizes=[x,y]\n",
+    "fig1,ax1 = plt.subplots()\n",
+    "ax1.set_title(\"你是独生子女吗\",fontdict = None, loc='center',color='y')\n",
+    "ax1.pie(sizes,labels=labels,autopct='%1.1f%%',shadow=True)\n",
+    "ax1.axis('equal')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### 直方图\n",
+    "反映变量“每天晚上睡多长时间-小时”(b18a)的分布情况。"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 46,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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k7mVANfBVd/81sIdgeAdgMnAwin5FRKRvUZ3xLwKmAveZWS3B4xoXmNm3gHnApoj6FRGR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\nJMz/BxfczB7HbMAoAAAAAElFTkSuQmCC\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x1a301107f98>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "x1=df['b18a']\n",
+    "x1=x1[:150]\n",
+    "name_list = ['3', '4', '5', '6','7','8','9','10']\n",
+    "num_list = [1,1,10,33,49,43,9,2]\n",
+    "rects=plt.bar(range(len(num_list)), num_list)\n",
+    "index=[0,1,2,3,4,5,6,7,8,9]\n",
+    "index=[float(c)+0.4 for c in index]\n",
+    "plt.ylim(ymax=50, ymin=0)\n",
+    "plt.xticks(index, name_list)\n",
+    "plt.ylabel(\"频率\") \n",
+    "plt.xlabel(\"睡眠时间\")\n",
+    "for rect in rects:\n",
+    "    height = rect.get_height()\n",
+    "    plt.text(rect.get_x() + rect.get_width() / 2, height, str(height)+'%', ha='center', va='bottom')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### 柱图\n",
+    "反映变量\"你妈妈是做什么工作的\"(b08a)的职业分布情况，数字和编码关系如下：\n",
+    "\n",
+    "+ 1\t国家机关事业单位领导与工作人员\n",
+    "+ 2\t企业/公司中高级管理人员\n",
+    "+ 3\t教师、工程师、医生、律师\n",
+    "+ 4\t技术工人（包括司机）\n",
+    "+ 5\t生产与制造业一般职工\n",
+    "+ 6\t商业与服务业一般职工\n",
+    "+ 7\t个体户\n",
+    "+ 8\t农民\n",
+    "+ 9 无业、失业、下岗\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 48,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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VgQuBQyXtADwOrGH7f+oxrS39lzd16zfWRUREB+u2pA/wKuBNlLFwgNnA+KbtFwJnALOa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\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x1a3779f3240>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "x1=sum(df.b08a=='1')\n",
+    "x2=sum(df.b08a=='2')\n",
+    "x3=sum(df.b08a=='3')\n",
+    "x4=sum(df.b08a=='4')\n",
+    "x5=sum(df.b08a=='5')\n",
+    "x6=sum(df.b08a=='6')\n",
+    "x7=sum(df.b08a=='7')\n",
+    "x8=sum(df.b08a=='8')\n",
+    "x9=sum(df.b08a=='9')\n",
+    "name_list=['国家机关事业单位领导与工作人员','企业/公司中高级管理人员',\n",
+    "'教师、工程师、医生、律师','技术工人（包括司机）','生产与制造业一般职工',\n",
+    "'商业与服务业一般职工','个体户','农民','无业、失业、下岗']\n",
+    "num_list=[x1,x2,x3,x4,x5,x6,x7,x8,x9]\n",
+    "plt.barh(range(len(num_list)),num_list,tick_label=name_list)\n",
+    "\n",
+    "plt.xlabel('频数')\n",
+    "plt.title(\"职业\")\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.6.0"
+  },
+  "toc": {
+   "base_numbering": 1,
+   "nav_menu": {},
+   "number_sections": true,
+   "sideBar": true,
+   "skip_h1_title": false,
+   "title_cell": "Table of Contents",
+   "title_sidebar": "Contents",
+   "toc_cell": false,
+   "toc_position": {},
+   "toc_section_display": true,
+   "toc_window_display": false
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/exer7/0165192.ipynb b/exer7/0165192.ipynb
new file mode 100644
index 0000000..1ec7f83
--- /dev/null
+++ b/exer7/0165192.ipynb
@@ -0,0 +1,572 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## 第七次练习"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "+ 请务必交到exer7文件夹下，**谢绝交到master下**\n",
+    "+ 请不要改动任何文件，拜托\n",
+    "+ 请在12月20日前提交。"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "请写一下姓名和学号：\n",
+    "+ 姓名  王惠民\n",
+    "+ 学号  0165192"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "%matplotlib inline"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "import pandas as pd\n",
+    "import matplotlib.pyplot as plt\n",
+    "import matplotlib\n",
+    "plt.rcParams['font.sans-serif']=['SimHei'] #用来正常显示中文标签\n",
+    "plt.rcParams['axes.unicode_minus']=False #用来正常显示负号"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "ename": "NameError",
+     "evalue": "name '请参考下面命令将CEPS' is not defined",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
+      "\u001b[0;32m<ipython-input-6-6a01b7775bb6>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0m请参考下面命令将CEPS\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcsv数据读入python\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
+      "\u001b[0;31mNameError\u001b[0m: name '请参考下面命令将CEPS' is not defined"
+     ]
+    }
+   ],
+   "source": [
+    "请参考下面命令将CEPS.csv数据读入python"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "D:\\python\\lib\\site-packages\\IPython\\core\\interactiveshell.py:2717: DtypeWarning: Columns (20,22,23,25,28,29,39,49,74,124,125,126,127,128,129,130,131,138,140,141,147,160,161,162,165,170,174,175,176,177,179,180,181,182,183,184,188,191,194,195,196,199,221,222,223,224,251,252,254,289,290,294,295,296) have mixed types. Specify dtype option on import or set low_memory=False.\n",
+      "  interactivity=interactivity, compiler=compiler, result=result)\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>ids</th>\n",
+       "      <th>clsids</th>\n",
+       "      <th>schids</th>\n",
+       "      <th>ctyids</th>\n",
+       "      <th>frame</th>\n",
+       "      <th>subsample</th>\n",
+       "      <th>sweight</th>\n",
+       "      <th>fall</th>\n",
+       "      <th>grade9</th>\n",
+       "      <th>stcog</th>\n",
+       "      <th>...</th>\n",
+       "      <th>steco_3c</th>\n",
+       "      <th>stonly</th>\n",
+       "      <th>stsib</th>\n",
+       "      <th>stsibrank</th>\n",
+       "      <th>stmedu</th>\n",
+       "      <th>stfedu</th>\n",
+       "      <th>stprhedu</th>\n",
+       "      <th>stfdrunk</th>\n",
+       "      <th>stprfight</th>\n",
+       "      <th>stprrel</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3</td>\n",
+       "      <td>218.738892</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>11</td>\n",
+       "      <td>...</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>3</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3</td>\n",
+       "      <td>216.518234</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>17</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>8</td>\n",
+       "      <td>5</td>\n",
+       "      <td>8</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>3</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3</td>\n",
+       "      <td>216.518234</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>12</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>4</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3</td>\n",
+       "      <td>218.738892</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>10</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>6</td>\n",
+       "      <td>7</td>\n",
+       "      <td>7</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>5</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3</td>\n",
+       "      <td>217.553040</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>10</td>\n",
+       "      <td>...</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>7</td>\n",
+       "      <td>8</td>\n",
+       "      <td>8</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>5 rows × 300 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   ids  clsids  schids  ctyids  frame  subsample     sweight  fall  grade9  \\\n",
+       "0    1       1       1       1      3          3  218.738892     0       0   \n",
+       "1    2       1       1       1      3          3  216.518234     0       0   \n",
+       "2    3       1       1       1      3          3  216.518234     0       0   \n",
+       "3    4       1       1       1      3          3  218.738892     0       0   \n",
+       "4    5       1       1       1      3          3  217.553040     0       0   \n",
+       "\n",
+       "   stcog   ...    steco_3c stonly stsib stsibrank stmedu stfedu stprhedu  \\\n",
+       "0     11   ...           3      1                      3      3        3   \n",
+       "1     17   ...           2      1                      8      5        8   \n",
+       "2     12   ...           2      2     1         3      3      3        3   \n",
+       "3     10   ...           2      1                      6      7        7   \n",
+       "4     10   ...           3      1                      7      8        8   \n",
+       "\n",
+       "  stfdrunk stprfight stprrel  \n",
+       "0        1         1       2  \n",
+       "1        1         1       2  \n",
+       "2        1         1       1  \n",
+       "3        1         1       2  \n",
+       "4        1         1       2  \n",
+       "\n",
+       "[5 rows x 300 columns]"
+      ]
+     },
+     "execution_count": 24,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df = pd.read_csv('CEPS.csv',encoding='gb2312')\n",
+    "df.head()\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "下面的图都至少需要在图上标注：\n",
+    "+ 图标题\n",
+    "+ x轴标题\n",
+    "+ y轴标题\n",
+    "+ 适当修改x轴或者y轴的刻度及标签，使之清晰美观\n",
+    "+ 根据需要添加图例"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### 散点图\n",
+    "反映期中考试标准化成绩语文（stdchn）和期中考试标准化成绩数学（stdmat）的相关关系"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "D:\\python\\lib\\site-packages\\IPython\\core\\interactiveshell.py:2717: DtypeWarning: Columns (20,22,23,25,28,29,39,49,74,124,125,126,127,128,129,130,131,138,140,141,147,160,161,162,165,170,174,175,176,177,179,180,181,182,183,184,188,191,194,195,196,199,221,222,223,224,251,252,254,289,290,294,295,296) have mixed types. Specify dtype option on import or set low_memory=False.\n",
+      "  interactivity=interactivity, compiler=compiler, result=result)\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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xHJnq5f2qZ2zGsGFAbD57GDyDtdbsfd7tsSkfHrvkPanHx11r4MaN2/bEgmPL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\nRU5ErkJggg==\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x1a377bd4dd8>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sentinels = {'stdchn': [' '], 'stdmat': [' ']}\n",
+    "df = pd.read_csv('CEPS.csv',encoding='gb2312', na_values=sentinels)\n",
+    "df = df.head(200)\n",
+    "\n",
+    "x1=df['stdchn']\n",
+    "x=[]\n",
+    "for x2 in x1:\n",
+    "    x.append(float(x2))\n",
+    "y=[]\n",
+    "y1=df['stdmat']\n",
+    "for y2 in y1:\n",
+    "    y.append(float(y2))\n",
+    "\n",
+    "fig=plt.figure()\n",
+    "ax1=fig.add_subplot()\n",
+    "plt.title('语文成绩和数学成绩散点图', fontsize=20)\n",
+    "plt.xlabel('语文成绩', fontsize=12)\n",
+    "plt.ylabel('数学成绩', fontsize=12)\n",
+    "plt.scatter(x, y)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### 饼图\n",
+    "对问题“你是独生子女吗”(b01)的回答有“是”和“否”两种回答，相应的数字分别是1和2。请画一个饼图反映二者的比例。"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "D:\\python\\lib\\site-packages\\pandas\\computation\\expressions.py:182: UserWarning: evaluating in Python space because the '+' operator is not supported by numexpr for the bool dtype, use '|' instead\n",
+      "  unsupported[op_str]))\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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jR3xX2xrDsXLa3mTIHZtAjCNJW9uRuL6GFb0yWDBACjm7XgGeZvgA3+o/P2rH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\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x1a378267eb8>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "labels = ('是', '否')\n",
+    "x=sum(df.b01==1)/sum((df.b01==1)+(df.b01==2))\n",
+    "y=sum(df.b01==2)/sum((df.b01==1)+(df.b01==2))\n",
+    "sizes=[x,y]\n",
+    "fig1,ax1 = plt.subplots()\n",
+    "ax1.set_title(\"你是独生子女吗\",fontdict = None, loc='center',color='y')\n",
+    "ax1.pie(sizes,labels=labels,autopct='%1.1f%%',shadow=True)\n",
+    "ax1.axis('equal')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### 直方图\n",
+    "反映变量“每天晚上睡多长时间-小时”(b18a)的分布情况。"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 46,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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k7mVANfBVd/81sIdgeAdgMnAwin5FRKRvUZ3xLwKmAveZWS3B4xoXmNm3gHnApoj6FRGR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\nJMz/BxfczB7HbMAoAAAAAElFTkSuQmCC\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x1a301107f98>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "x1=df['b18a']\n",
+    "x1=x1[:150]\n",
+    "name_list = ['3', '4', '5', '6','7','8','9','10']\n",
+    "num_list = [1,1,10,33,49,43,9,2]\n",
+    "rects=plt.bar(range(len(num_list)), num_list)\n",
+    "index=[0,1,2,3,4,5,6,7,8,9]\n",
+    "index=[float(c)+0.4 for c in index]\n",
+    "plt.ylim(ymax=50, ymin=0)\n",
+    "plt.xticks(index, name_list)\n",
+    "plt.ylabel(\"频率\") \n",
+    "plt.xlabel(\"睡眠时间\")\n",
+    "for rect in rects:\n",
+    "    height = rect.get_height()\n",
+    "    plt.text(rect.get_x() + rect.get_width() / 2, height, str(height)+'%', ha='center', va='bottom')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### 柱图\n",
+    "反映变量\"你妈妈是做什么工作的\"(b08a)的职业分布情况，数字和编码关系如下：\n",
+    "\n",
+    "+ 1\t国家机关事业单位领导与工作人员\n",
+    "+ 2\t企业/公司中高级管理人员\n",
+    "+ 3\t教师、工程师、医生、律师\n",
+    "+ 4\t技术工人（包括司机）\n",
+    "+ 5\t生产与制造业一般职工\n",
+    "+ 6\t商业与服务业一般职工\n",
+    "+ 7\t个体户\n",
+    "+ 8\t农民\n",
+    "+ 9 无业、失业、下岗\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 48,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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VgQuBQyXtADwOrGH7f+oxrS39lzd16zfWRUREB+u2pA/wKuBNlLFwgNnA+KbtFwJnALOa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\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x1a3779f3240>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "x1=sum(df.b08a=='1')\n",
+    "x2=sum(df.b08a=='2')\n",
+    "x3=sum(df.b08a=='3')\n",
+    "x4=sum(df.b08a=='4')\n",
+    "x5=sum(df.b08a=='5')\n",
+    "x6=sum(df.b08a=='6')\n",
+    "x7=sum(df.b08a=='7')\n",
+    "x8=sum(df.b08a=='8')\n",
+    "x9=sum(df.b08a=='9')\n",
+    "name_list=['国家机关事业单位领导与工作人员','企业/公司中高级管理人员',\n",
+    "'教师、工程师、医生、律师','技术工人（包括司机）','生产与制造业一般职工',\n",
+    "'商业与服务业一般职工','个体户','农民','无业、失业、下岗']\n",
+    "num_list=[x1,x2,x3,x4,x5,x6,x7,x8,x9]\n",
+    "plt.barh(range(len(num_list)),num_list,tick_label=name_list)\n",
+    "\n",
+    "plt.xlabel('频数')\n",
+    "plt.title(\"职业\")\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.6.0"
+  },
+  "toc": {
+   "base_numbering": 1,
+   "nav_menu": {},
+   "number_sections": true,
+   "sideBar": true,
+   "skip_h1_title": false,
+   "title_cell": "Table of Contents",
+   "title_sidebar": "Contents",
+   "toc_cell": false,
+   "toc_position": {},
+   "toc_section_display": true,
+   "toc_window_display": false
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/exer8/0165202 coursework.ipynb b/exer8/0165202 coursework.ipynb
new file mode 100644
index 0000000..15a9bce
--- /dev/null
+++ b/exer8/0165202 coursework.ipynb	
@@ -0,0 +1,2422 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## 课程论文"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    " 请务必交到exer8文件夹下，**谢绝交到master下**\n",
+    "+ 请不要改动任何文件，拜托\n",
+    "+ 请于12月30日前先在github上提交\n",
+    "+ 请在元旦后提交纸质版，将本页面文件先打印为pdf格式，再去打印店付印\n",
+    "+ 请将论文模板和本页面文件一起装订，前者放上面，本页面文件放下面\n",
+    "+ 纸质版提交时间和地点请留意微信群通知"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "请写一下姓名和学号：\n",
+    "+ 姓名 温高枫 \n",
+    "+ 学号 0165202"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### 样本均值分布的统计试验"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "+ 请将CEPS.csv数据读入python\n",
+    "+ 请从中随机抽取1000个数据\n",
+    "+ 请根据问卷从数据中挑选两个连续型变量（likert量表可以近似看作连续变量）\n",
+    "+ 计算这两个连续变量的均值\n",
+    "+ 重复随机抽取—计算均值这个过程30次，得到两个变量30个样本均值\n",
+    "+ 绘制这30个样本均值的直方图\n",
+    "+ 计算均值的均值和标准误"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 78,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<bound method NDFrame.head of          ids  clsids  schids  ctyids  frame  subsample     sweight  fall  \\\n",
+       "0          1       1       1       1      3          3  218.738892     0   \n",
+       "1          2       1       1       1      3          3  216.518234     0   \n",
+       "2          3       1       1       1      3          3  216.518234     0   \n",
+       "3          4       1       1       1      3          3  218.738892     0   \n",
+       "4          5       1       1       1      3          3  217.553040     0   \n",
+       "5          6       1       1       1      3          3  218.738892     0   \n",
+       "6          7       1       1       1      3          3  218.738892     0   \n",
+       "7          8       1       1       1      3          3  216.518234     0   \n",
+       "8          9       1       1       1      3          3  218.738892     0   \n",
+       "9         10       1       1       1      3          3  216.518234     0   \n",
+       "10        11       1       1       1      3          3  216.518234     0   \n",
+       "11        12       1       1       1      3          3  218.738892     0   \n",
+       "12        13       1       1       1      3          3  218.738892     0   \n",
+       "13        14       1       1       1      3          3  218.738892     0   \n",
+       "14        15       1       1       1      3          3  218.738892     0   \n",
+       "15        16       1       1       1      3          3  216.518234     0   \n",
+       "16        17       1       1       1      3          3  216.518234     0   \n",
+       "17        18       1       1       1      3          3  218.738892     0   \n",
+       "18        19       1       1       1      3          3  216.518234     0   \n",
+       "19        20       1       1       1      3          3  216.518234     0   \n",
+       "20        21       1       1       1      3          3  218.738892     0   \n",
+       "21        22       1       1       1      3          3  216.518234     0   \n",
+       "22        23       1       1       1      3          3  218.738892     0   \n",
+       "23        24       1       1       1      3          3  216.518234     0   \n",
+       "24        25       1       1       1      3          3  216.518234     0   \n",
+       "25        26       1       1       1      3          3  218.738892     0   \n",
+       "26        27       1       1       1      3          3  218.738892     0   \n",
+       "27        28       1       1       1      3          3  218.738892     0   \n",
+       "28        29       1       1       1      3          3  218.738892     0   \n",
+       "29        30       1       1       1      3          3  216.518234     0   \n",
+       "...      ...     ...     ...     ...    ...        ...         ...   ...   \n",
+       "19457  19458     438     112      28      3          3  417.223358     1   \n",
+       "19458  19459     438     112      28      3          3  398.827271     1   \n",
+       "19459  19460     438     112      28      3          3  398.827271     1   \n",
+       "19460  19461     438     112      28      3          3  398.827271     1   \n",
+       "19461  19462     438     112      28      3          3  417.223358     1   \n",
+       "19462  19463     438     112      28      3          3  417.223358     1   \n",
+       "19463  19464     438     112      28      3          3  417.223358     1   \n",
+       "19464  19465     438     112      28      3          3  398.827271     1   \n",
+       "19465  19466     438     112      28      3          3  398.827271     1   \n",
+       "19466  19467     438     112      28      3          3  398.827271     1   \n",
+       "19467  19468     438     112      28      3          3  398.827271     1   \n",
+       "19468  19469     438     112      28      3          3  417.223358     1   \n",
+       "19469  19470     438     112      28      3          3  398.827271     1   \n",
+       "19470  19471     438     112      28      3          3  398.827271     1   \n",
+       "19471  19472     438     112      28      3          3  398.827271     1   \n",
+       "19472  19473     438     112      28      3          3  417.223358     1   \n",
+       "19473  19474     438     112      28      3          3  417.223358     1   \n",
+       "19474  19475     438     112      28      3          3  398.827271     1   \n",
+       "19475  19476     438     112      28      3          3  417.223358     1   \n",
+       "19476  19477     438     112      28      3          3  417.223358     1   \n",
+       "19477  19478     438     112      28      3          3  417.223358     1   \n",
+       "19478  19479     438     112      28      3          3  398.827271     1   \n",
+       "19479  19480     438     112      28      3          3  417.223358     1   \n",
+       "19480  19481     438     112      28      3          3  417.223358     1   \n",
+       "19481  19482     438     112      28      3          3  398.827271     1   \n",
+       "19482  19483     438     112      28      3          3  398.827271     1   \n",
+       "19483  19484     438     112      28      3          3  417.223358     1   \n",
+       "19484  19485     438     112      28      3          3  417.223358     1   \n",
+       "19485  19486     438     112      28      3          3  417.223358     1   \n",
+       "19486  19487     438     112      28      3          3  417.223358     1   \n",
+       "\n",
+       "       grade9  stcog   ...    steco_3c stonly stsib stsibrank stmedu stfedu  \\\n",
+       "0           0     11   ...           3      1                      3      3   \n",
+       "1           0     17   ...           2      1                      8      5   \n",
+       "2           0     12   ...           2      2     1         3      3      3   \n",
+       "3           0     10   ...           2      1                      6      7   \n",
+       "4           0     10   ...           3      1                      7      8   \n",
+       "5           0     12   ...           2      1                      8      8   \n",
+       "6           0     14   ...           2      1                      4      6   \n",
+       "7           0     13   ...           2      1                      8      8   \n",
+       "8           0     10   ...           2      1                      6      7   \n",
+       "9           0     16   ...           2      1                      7      8   \n",
+       "10          0     14   ...           2      1                      7      6   \n",
+       "11          0      8   ...           2      2     1         1      3      3   \n",
+       "12          0     12   ...           2      1                      8      8   \n",
+       "13          0     14   ...           2      1                      6      3   \n",
+       "14          0     11   ...           3      1                      6      9   \n",
+       "15          0     17   ...           2      2     3         1      4      4   \n",
+       "16          0     13   ...           2      1                      7      6   \n",
+       "17          0     13   ...           3      1                      4      4   \n",
+       "18          0     14   ...           2      1                      6      6   \n",
+       "19          0     11   ...           2      1                      8      7   \n",
+       "20          0     15   ...           2      1                      7      7   \n",
+       "21          0     10   ...           3      1                      7      7   \n",
+       "22          0     14   ...           3      1                      8      8   \n",
+       "23          0     11   ...           2      1                      4      4   \n",
+       "24          0     12   ...           2      2     1         3      3      3   \n",
+       "25          0     16   ...           3      2     1         1      8      7   \n",
+       "26          0     15   ...           2      1                      8      6   \n",
+       "27          0     15   ...           2      1                      6      3   \n",
+       "28          0     10   ...           2      2     1         1      3      5   \n",
+       "29          0     14   ...           2      1                      7      5   \n",
+       "...       ...    ...   ...         ...    ...   ...       ...    ...    ...   \n",
+       "19457       1      9   ...           3      1                      8      8   \n",
+       "19458       1      5   ...           2      1                      9      9   \n",
+       "19459       1      7   ...           2      1                      9      8   \n",
+       "19460       1     11   ...           2      1                      8      6   \n",
+       "19461       1     10   ...           1      1                      3      3   \n",
+       "19462       1     13   ...           2      1                      3      6   \n",
+       "19463       1     15   ...           2      1                      8      7   \n",
+       "19464       1      7   ...           2      2     1         1      3      6   \n",
+       "19465       1     12   ...           2      1                      7      7   \n",
+       "19466       1      6   ...           2      1                      7      4   \n",
+       "19467       1      4   ...           2      1                      6      6   \n",
+       "19468       1      4   ...           2      1                      6      7   \n",
+       "19469       1      5   ...           2      1                      5      5   \n",
+       "19470       1      4   ...           2      1                      8      8   \n",
+       "19471       1      6   ...           1      1                      7      7   \n",
+       "19472       1     12   ...           2      1                      3      5   \n",
+       "19473       1      7   ...           3      1                      8      8   \n",
+       "19474       1      7   ...           3      1                      3      7   \n",
+       "19475       1      7   ...           2      1                      6      6   \n",
+       "19476       1      5   ...           2      1                      3      3   \n",
+       "19477       1      6   ...           2      1                      8      7   \n",
+       "19478       1     10   ...           2      1                      6      6   \n",
+       "19479       1      6   ...           2      1                      3      7   \n",
+       "19480       1     10   ...           2      2     1         3      3      3   \n",
+       "19481       1      6   ...           2      2     1         1      3      3   \n",
+       "19482       1      5   ...           2      1                      8      8   \n",
+       "19483       1      2   ...           2      1                      4      9   \n",
+       "19484       1      8   ...           2      1                      6      8   \n",
+       "19485       1      5   ...           2      2     1         1      2      2   \n",
+       "19486       1      5   ...           2      1                      8      6   \n",
+       "\n",
+       "      stprhedu stfdrunk stprfight stprrel  \n",
+       "0            3        1         1       2  \n",
+       "1            8        1         1       2  \n",
+       "2            3        1         1       1  \n",
+       "3            7        1         1       2  \n",
+       "4            8        1         1       2  \n",
+       "5            8        1         2       1  \n",
+       "6            6        1         1       2  \n",
+       "7            8        1         1       2  \n",
+       "8            7        1         1       2  \n",
+       "9            8        1         1       2  \n",
+       "10           7        1         2       2  \n",
+       "11           3        1         1       2  \n",
+       "12           8        1         1       2  \n",
+       "13           6        1         1       2  \n",
+       "14           9        1         1       2  \n",
+       "15           4        1         1       1  \n",
+       "16           7        1         1       2  \n",
+       "17           4        1         1       2  \n",
+       "18           6        1         1       1  \n",
+       "19           8        2         2       1  \n",
+       "20           7        1         1       1  \n",
+       "21           7        1         1       2  \n",
+       "22           8        1         1       2  \n",
+       "23           4        1         1       2  \n",
+       "24           3        1         1       2  \n",
+       "25           8        1         1       2  \n",
+       "26           8        1         1       2  \n",
+       "27           6        1         1       2  \n",
+       "28           5        1         2       1  \n",
+       "29           7        1         1       2  \n",
+       "...        ...      ...       ...     ...  \n",
+       "19457        8        2         1       2  \n",
+       "19458        9        1         1       2  \n",
+       "19459        9        1         2       1  \n",
+       "19460        8        1         1       2  \n",
+       "19461        3        1         1       2  \n",
+       "19462        6        1         2       2  \n",
+       "19463        8        1         1       2  \n",
+       "19464        6        2         2       2  \n",
+       "19465        7        1         1       2  \n",
+       "19466        7        1         1       2  \n",
+       "19467        6        1         2       2  \n",
+       "19468        7        1                    \n",
+       "19469        5        1         1       2  \n",
+       "19470        8        1         1       2  \n",
+       "19471        7        2         1       2  \n",
+       "19472        5        2         2       1  \n",
+       "19473        8        1         1       2  \n",
+       "19474        7        2         1       2  \n",
+       "19475        6        1         1       2  \n",
+       "19476        3        1         2       2  \n",
+       "19477        8        1         2       2  \n",
+       "19478        6        1         1       2  \n",
+       "19479        7        1         2       2  \n",
+       "19480        3        2         2       2  \n",
+       "19481        3        1         1       2  \n",
+       "19482        8        2         1       2  \n",
+       "19483        9        1         1       2  \n",
+       "19484        8        1         1       2  \n",
+       "19485        2        1         1       2  \n",
+       "19486        8        2         2       1  \n",
+       "\n",
+       "[19487 rows x 300 columns]>"
+      ]
+     },
+     "execution_count": 78,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "%matplotlib inline\n",
+    "import pandas as pd\n",
+    "import numpy as np\n",
+    "import matplotlib.pyplot as plt\n",
+    "import matplotlib\n",
+    "plt.rcParams['font.sans-serif']=['SimHei'] \n",
+    "plt.rcParams['axes.unicode_minus']=False \n",
+    "data = pd.read_csv(r'CEPS.csv',engine='python')\n",
+    "data.head"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "E:\\anaconda3\\lib\\site-packages\\ipykernel\\__main__.py:2: FutureWarning: convert_objects is deprecated.  Use the data-type specific converters pd.to_datetime, pd.to_timedelta and pd.to_numeric.\n",
+      "  from ipykernel import kernelapp as app\n",
+      "E:\\anaconda3\\lib\\site-packages\\ipykernel\\__main__.py:3: FutureWarning: convert_objects is deprecated.  Use the data-type specific converters pd.to_datetime, pd.to_timedelta and pd.to_numeric.\n",
+      "  app.launch_new_instance()\n"
+     ]
+    }
+   ],
+   "source": [
+    "x=data.sample(n=1000)\n",
+    "x1=x['b15d1'].convert_objects(convert_numeric=True)\n",
+    "x2=x['b15f1'].convert_objects(convert_numeric=True)\n",
+    "#选取 b09：课外看书时间   b12：游戏时间"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0.8626653102746694"
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "x1.mean()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0.637948717948718"
+      ]
+     },
+     "execution_count": 12,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "x2.mean()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "E:\\anaconda3\\lib\\site-packages\\ipykernel\\__main__.py:6: FutureWarning: convert_objects is deprecated.  Use the data-type specific converters pd.to_datetime, pd.to_timedelta and pd.to_numeric.\n",
+      "E:\\anaconda3\\lib\\site-packages\\ipykernel\\__main__.py:8: FutureWarning: convert_objects is deprecated.  Use the data-type specific converters pd.to_datetime, pd.to_timedelta and pd.to_numeric.\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{1: 0.9411764705882353, 2: 0.9527235354573484, 3: 0.8430173292558614, 4: 0.8386433710174718, 5: 0.8831967213114754, 6: 0.9370485036119711, 7: 0.8663926002055499, 8: 0.9496402877697842, 9: 0.8622816032887975, 10: 0.9335410176531672, 11: 0.8773006134969326, 12: 0.9104938271604939, 13: 0.8950050968399592, 14: 0.8500517063081696, 15: 0.8981481481481481, 16: 0.8561151079136691, 17: 0.8431372549019608, 18: 0.9412371134020618, 19: 0.8847736625514403, 20: 0.8746145940390545, 21: 0.8791322314049587, 22: 0.9104016477857878, 23: 0.8128834355828221, 24: 0.86302780638517, 25: 0.8706365503080082, 26: 0.8895705521472392, 27: 0.886734693877551, 28: 0.9462809917355371, 29: 0.818089430894309, 30: 0.8225641025641026}\n",
+      "{1: 0.5954825462012321, 2: 0.6772216547497446, 3: 0.7037793667007151, 4: 0.6026422764227642, 5: 0.6629441624365482, 6: 0.6625766871165644, 7: 0.6424923391215526, 8: 0.6876288659793814, 9: 0.5466666666666666, 10: 0.6137295081967213, 11: 0.6171079429735234, 12: 0.7322348094747683, 13: 0.48028311425682507, 14: 0.6230690010298661, 15: 0.7107692307692308, 16: 0.6515463917525773, 17: 0.6100307062436029, 18: 0.7237113402061855, 19: 0.676530612244898, 20: 0.6656472986748216, 21: 0.5874485596707819, 22: 0.6330275229357798, 23: 0.5663265306122449, 24: 0.7158859470468432, 25: 0.5656154628687691, 26: 0.6206896551724138, 27: 0.7727272727272727, 28: 0.7343589743589743, 29: 0.646998982706002, 30: 0.6483180428134556}\n"
+     ]
+    }
+   ],
+   "source": [
+    "count=0\n",
+    "mean_b15d1={}\n",
+    "mean_b15f1={}\n",
+    "while count<30:\n",
+    "    data_x=data.sample(n=1000)\n",
+    "    mean_b15d1_a=data_x['b15d1'].convert_objects(convert_numeric=True).mean()\n",
+    "    mean_b15d1[count+1]= mean_b15d1_a\n",
+    "    mean_b15f1_a=data_x['b15f1'].convert_objects(convert_numeric=True).mean()\n",
+    "    mean_b15f1[count+1]= mean_b15f1_a\n",
+    "    count=count+1\n",
+    "print(mean_b15d1)\n",
+    "print(mean_b15f1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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c8FcR0VZSG83MrIayNjENAF7Mh1cBQ4oCJR0DDI6IucBjwPERMQJYAZyeiJ8g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\nAmFmZkkuEGZmluQCYWZmSf8fM6R5XGDySKUAAAAASUVORK5CYII=\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x26d33bd4978>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "ind=np.arange(len(mean_b15d1.values()))\n",
+    "width=0.5\n",
+    "fig, ax = plt.subplots()\n",
+    "rects1 = ax.bar(ind - width/2, mean_b15d1.values(), width, \n",
+    "                color='red', label='课外看书时间')\n",
+    "ax.set_ylabel('样本均值')\n",
+    "ax.set_title('日平均课外看书时间')\n",
+    "ax.set_xticks(ind)\n",
+    "ax.set_xticklabels(mean_b15d1.keys())\n",
+    "ax.legend()\n",
+    "ax.set_ylim(0,2)\n",
+    "\n",
+    "def autolabel(rects, xpos='center'):\n",
+    "    xpos = xpos.lower() \n",
+    "    ha = {'center': 'center', 'right': 'left', 'left': 'right'}\n",
+    "    offset = {'center': 1, 'right': 1, 'left': 1}  \n",
+    "    for rect in rects:\n",
+    "        height = rect.get_height()\n",
+    "        ax.text(rect.get_x() + rect.get_width()*offset[xpos], 2*height,\n",
+    "                '{}'.format(height), ha=ha[xpos], va='bottom')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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EHpLU1sC2n6wT0yrpBUnz8tthdeKvlzSpTsx5FetbLOmmgrhhkmZLmi/pxhrr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\nTkSuQmCC\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x26d33bd4a90>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "ind=np.arange(len(mean_b15f1.values()))\n",
+    "width=0.5\n",
+    "fig, ax = plt.subplots()\n",
+    "rects1 = ax.bar(ind - width/2, mean_b15f1.values(), width, \n",
+    "                color='black', label='游戏时间')\n",
+    "ax.set_ylabel('样本均值')\n",
+    "ax.set_title('日平均游戏时间')\n",
+    "ax.set_xticks(ind)\n",
+    "ax.set_xticklabels(mean_b15f1.keys())\n",
+    "ax.legend()\n",
+    "ax.set_ylim(0,2)\n",
+    "\n",
+    "def autolabel(rects, xpos='center'):\n",
+    "    xpos = xpos.lower()  # normalize the case of the parameter\n",
+    "    ha = {'center': 'center', 'right': 'left', 'left': 'right'}\n",
+    "    offset = {'center': 1, 'right': 1, 'left': 1}  # x_txt = x + w*off\n",
+    "\n",
+    "    for rect in rects:\n",
+    "        height = rect.get_height()\n",
+    "        ax.text(rect.get_x() + rect.get_width()*offset[xpos], 2*height,\n",
+    "                '{}'.format(height), ha=ha[xpos], va='bottom')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "样本均值：\n",
+      "游戏时间      0.645916\n",
+      "课外看书时间    0.884595\n",
+      "dtype: float64\n",
+      "\n",
+      "样本标准误：\n",
+      "游戏时间      0.063491\n",
+      "课外看书时间    0.040913\n",
+      "dtype: float64\n"
+     ]
+    }
+   ],
+   "source": [
+    "b15d1=[]\n",
+    "for i in mean_b15d1.values():\n",
+    "    b15d1.append(i)\n",
+    "b15f1=[]\n",
+    "for i in mean_b15f1.values():\n",
+    "    b15f1.append(i)\n",
+    "average={'课外看书时间':b15d1,'游戏时间':b15f1}\n",
+    "frame = pd.DataFrame(average,index=mean_b15d1.keys())\n",
+    "\n",
+    "print('样本均值：')\n",
+    "print(frame.mean())\n",
+    "print('\\n样本标准误：')\n",
+    "print(frame.std())"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### 回归分析"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "+ 请从CEPS.csv数据里挑选若干变量建立回归方程，要求至少三个自变量\n",
+    "    + 如，学生的学业成绩受认知水平、家庭收入的影响\n",
+    "    + 考虑因变量和自变量间的实质关系，变量间关系应该是有意义\n",
+    "    + 选择自变量时，注意变量的类型，如果是分类变量，需要进行编码\n",
+    "+ 请报告回归方程的结果，需要包括：\n",
+    "    + 模型拟合指标\n",
+    "    + 模型的显著性检验结果\n",
+    "    + 变量的系数\n",
+    "    + 各系数的显著性检验结果\n",
+    "    + 对模型结果的解释\n",
+    "    "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 72,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "E:\\anaconda3\\lib\\site-packages\\IPython\\core\\interactiveshell.py:2717: DtypeWarning: Columns (20,22,23,25,28,29,39,74,124,125,126,127,128,129,130,131,138,140,141,147,160,161,162,165,170,174,175,176,177,179,180,181,182,183,184,188,191,195,196,199,221,222,223,224,251,252,254,289,290,294,295,296) have mixed types. Specify dtype option on import or set low_memory=False.\n",
+      "  interactivity=interactivity, compiler=compiler, result=result)\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>ids</th>\n",
+       "      <th>clsids</th>\n",
+       "      <th>schids</th>\n",
+       "      <th>ctyids</th>\n",
+       "      <th>frame</th>\n",
+       "      <th>subsample</th>\n",
+       "      <th>sweight</th>\n",
+       "      <th>fall</th>\n",
+       "      <th>grade9</th>\n",
+       "      <th>stcog</th>\n",
+       "      <th>...</th>\n",
+       "      <th>steco_3c</th>\n",
+       "      <th>stonly</th>\n",
+       "      <th>stsib</th>\n",
+       "      <th>stsibrank</th>\n",
+       "      <th>stmedu</th>\n",
+       "      <th>stfedu</th>\n",
+       "      <th>stprhedu</th>\n",
+       "      <th>stfdrunk</th>\n",
+       "      <th>stprfight</th>\n",
+       "      <th>stprrel</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>17279</th>\n",
+       "      <td>17280</td>\n",
+       "      <td>400</td>\n",
+       "      <td>103</td>\n",
+       "      <td>26</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>3349.566406</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8238</th>\n",
+       "      <td>8239</td>\n",
+       "      <td>210</td>\n",
+       "      <td>55</td>\n",
+       "      <td>14</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3</td>\n",
+       "      <td>295.581360</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>6</td>\n",
+       "      <td>3</td>\n",
+       "      <td>6</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>904</th>\n",
+       "      <td>905</td>\n",
+       "      <td>29</td>\n",
+       "      <td>8</td>\n",
+       "      <td>2</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3</td>\n",
+       "      <td>223.366684</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>8</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>6</td>\n",
+       "      <td>6</td>\n",
+       "      <td>6</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7598</th>\n",
+       "      <td>7599</td>\n",
+       "      <td>194</td>\n",
+       "      <td>51</td>\n",
+       "      <td>13</td>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1310.661499</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>14</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>13588</th>\n",
+       "      <td>13589</td>\n",
+       "      <td>315</td>\n",
+       "      <td>81</td>\n",
+       "      <td>21</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>4033.718506</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>7</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "      <td>2</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1446</th>\n",
+       "      <td>1447</td>\n",
+       "      <td>40</td>\n",
+       "      <td>10</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2729.416748</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>4</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>6</td>\n",
+       "      <td>3</td>\n",
+       "      <td>6</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7406</th>\n",
+       "      <td>7407</td>\n",
+       "      <td>189</td>\n",
+       "      <td>49</td>\n",
+       "      <td>13</td>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1176.174805</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>11</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>6</td>\n",
+       "      <td>3</td>\n",
+       "      <td>6</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4660</th>\n",
+       "      <td>4661</td>\n",
+       "      <td>124</td>\n",
+       "      <td>31</td>\n",
+       "      <td>8</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>102.699226</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>11</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "      <td>8</td>\n",
+       "      <td>6</td>\n",
+       "      <td>8</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1665</th>\n",
+       "      <td>1666</td>\n",
+       "      <td>44</td>\n",
+       "      <td>11</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2502.247314</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>13</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "      <td>6</td>\n",
+       "      <td>4</td>\n",
+       "      <td>6</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10059</th>\n",
+       "      <td>10060</td>\n",
+       "      <td>246</td>\n",
+       "      <td>64</td>\n",
+       "      <td>16</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>960.467529</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>10</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8372</th>\n",
+       "      <td>8373</td>\n",
+       "      <td>213</td>\n",
+       "      <td>55</td>\n",
+       "      <td>14</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3</td>\n",
+       "      <td>326.005280</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>10</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "      <td>2</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11920</th>\n",
+       "      <td>11921</td>\n",
+       "      <td>282</td>\n",
+       "      <td>73</td>\n",
+       "      <td>19</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2595.052979</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>4</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>16995</th>\n",
+       "      <td>16996</td>\n",
+       "      <td>396</td>\n",
+       "      <td>102</td>\n",
+       "      <td>26</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>3535.297363</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>12</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11612</th>\n",
+       "      <td>11613</td>\n",
+       "      <td>276</td>\n",
+       "      <td>72</td>\n",
+       "      <td>18</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2267.509277</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>5</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>4</td>\n",
+       "      <td>4</td>\n",
+       "      <td>4</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5834</th>\n",
+       "      <td>5835</td>\n",
+       "      <td>156</td>\n",
+       "      <td>41</td>\n",
+       "      <td>11</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3</td>\n",
+       "      <td>270.640533</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>9</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12529</th>\n",
+       "      <td>12530</td>\n",
+       "      <td>294</td>\n",
+       "      <td>76</td>\n",
+       "      <td>19</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>3419.157959</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>7</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15315</th>\n",
+       "      <td>15316</td>\n",
+       "      <td>356</td>\n",
+       "      <td>92</td>\n",
+       "      <td>23</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3</td>\n",
+       "      <td>273.583069</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>12</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>2</td>\n",
+       "      <td>6</td>\n",
+       "      <td>6</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>484</th>\n",
+       "      <td>485</td>\n",
+       "      <td>17</td>\n",
+       "      <td>5</td>\n",
+       "      <td>2</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3</td>\n",
+       "      <td>219.780060</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>12</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>969</th>\n",
+       "      <td>970</td>\n",
+       "      <td>30</td>\n",
+       "      <td>8</td>\n",
+       "      <td>2</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3</td>\n",
+       "      <td>225.657578</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>7</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>6</td>\n",
+       "      <td>3</td>\n",
+       "      <td>6</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1475</th>\n",
+       "      <td>1476</td>\n",
+       "      <td>41</td>\n",
+       "      <td>11</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2564.941650</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>11</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>8</td>\n",
+       "      <td>6</td>\n",
+       "      <td>8</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1168</th>\n",
+       "      <td>1169</td>\n",
+       "      <td>34</td>\n",
+       "      <td>9</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2535.203857</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>14</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>7</td>\n",
+       "      <td>7</td>\n",
+       "      <td>7</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>17051</th>\n",
+       "      <td>17052</td>\n",
+       "      <td>396</td>\n",
+       "      <td>102</td>\n",
+       "      <td>26</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>3535.297363</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>11</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>18437</th>\n",
+       "      <td>18438</td>\n",
+       "      <td>421</td>\n",
+       "      <td>108</td>\n",
+       "      <td>27</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>3951.174805</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>11</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>4</td>\n",
+       "      <td>6</td>\n",
+       "      <td>6</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6515</th>\n",
+       "      <td>6516</td>\n",
+       "      <td>171</td>\n",
+       "      <td>45</td>\n",
+       "      <td>12</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2047.846313</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>17</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>8</td>\n",
+       "      <td>8</td>\n",
+       "      <td>8</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>16192</th>\n",
+       "      <td>16193</td>\n",
+       "      <td>379</td>\n",
+       "      <td>98</td>\n",
+       "      <td>25</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1380.108765</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>9</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>2</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1142</th>\n",
+       "      <td>1143</td>\n",
+       "      <td>34</td>\n",
+       "      <td>9</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2535.203857</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>15</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>4</td>\n",
+       "      <td>4</td>\n",
+       "      <td>4</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8413</th>\n",
+       "      <td>8414</td>\n",
+       "      <td>214</td>\n",
+       "      <td>56</td>\n",
+       "      <td>14</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3</td>\n",
+       "      <td>281.892578</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>10</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "      <td>6</td>\n",
+       "      <td>3</td>\n",
+       "      <td>6</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11680</th>\n",
+       "      <td>11681</td>\n",
+       "      <td>277</td>\n",
+       "      <td>72</td>\n",
+       "      <td>18</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2267.509521</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>13</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15408</th>\n",
+       "      <td>15409</td>\n",
+       "      <td>359</td>\n",
+       "      <td>93</td>\n",
+       "      <td>24</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3</td>\n",
+       "      <td>290.824188</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>14</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>3</td>\n",
+       "      <td>2</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2043</th>\n",
+       "      <td>2044</td>\n",
+       "      <td>53</td>\n",
+       "      <td>14</td>\n",
+       "      <td>4</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1766.453613</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>11</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</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>6360</th>\n",
+       "      <td>6361</td>\n",
+       "      <td>168</td>\n",
+       "      <td>44</td>\n",
+       "      <td>11</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3</td>\n",
+       "      <td>94.228058</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>5</td>\n",
+       "      <td>...</td>\n",
+       "      <td>3</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "      <td>7</td>\n",
+       "      <td>7</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9237</th>\n",
+       "      <td>9238</td>\n",
+       "      <td>231</td>\n",
+       "      <td>60</td>\n",
+       "      <td>15</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>3871.945312</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>7</td>\n",
+       "      <td>...</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>6</td>\n",
+       "      <td>6</td>\n",
+       "      <td>6</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10562</th>\n",
+       "      <td>10563</td>\n",
+       "      <td>257</td>\n",
+       "      <td>67</td>\n",
+       "      <td>17</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2164.127930</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>12</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4282</th>\n",
+       "      <td>4283</td>\n",
+       "      <td>111</td>\n",
+       "      <td>28</td>\n",
+       "      <td>7</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>441.248688</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>14</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>8</td>\n",
+       "      <td>9</td>\n",
+       "      <td>9</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>17002</th>\n",
+       "      <td>17003</td>\n",
+       "      <td>396</td>\n",
+       "      <td>102</td>\n",
+       "      <td>26</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>3535.297363</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>5</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6109</th>\n",
+       "      <td>6110</td>\n",
+       "      <td>163</td>\n",
+       "      <td>42</td>\n",
+       "      <td>11</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3</td>\n",
+       "      <td>230.826523</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>13</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>6</td>\n",
+       "      <td>6</td>\n",
+       "      <td>6</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>13493</th>\n",
+       "      <td>13494</td>\n",
+       "      <td>314</td>\n",
+       "      <td>81</td>\n",
+       "      <td>21</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>3597.105957</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>8</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>8</td>\n",
+       "      <td>8</td>\n",
+       "      <td>8</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td></td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1501</th>\n",
+       "      <td>1502</td>\n",
+       "      <td>41</td>\n",
+       "      <td>11</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2550.557861</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>16</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>7</td>\n",
+       "      <td>7</td>\n",
+       "      <td>7</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2941</th>\n",
+       "      <td>2942</td>\n",
+       "      <td>75</td>\n",
+       "      <td>19</td>\n",
+       "      <td>5</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3</td>\n",
+       "      <td>195.046204</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>13</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>4</td>\n",
+       "      <td>2</td>\n",
+       "      <td>4</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7459</th>\n",
+       "      <td>7460</td>\n",
+       "      <td>190</td>\n",
+       "      <td>50</td>\n",
+       "      <td>13</td>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1268.525635</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>15</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>687</th>\n",
+       "      <td>688</td>\n",
+       "      <td>23</td>\n",
+       "      <td>6</td>\n",
+       "      <td>2</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3</td>\n",
+       "      <td>288.219666</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>10</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>3</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3317</th>\n",
+       "      <td>3318</td>\n",
+       "      <td>82</td>\n",
+       "      <td>21</td>\n",
+       "      <td>6</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>3251.629395</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>12</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>3</td>\n",
+       "      <td>6</td>\n",
+       "      <td>6</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14264</th>\n",
+       "      <td>14265</td>\n",
+       "      <td>331</td>\n",
+       "      <td>86</td>\n",
+       "      <td>22</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2362.489502</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>9</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>6</td>\n",
+       "      <td>7</td>\n",
+       "      <td>7</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9285</th>\n",
+       "      <td>9286</td>\n",
+       "      <td>233</td>\n",
+       "      <td>60</td>\n",
+       "      <td>15</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>3895.416992</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6181</th>\n",
+       "      <td>6182</td>\n",
+       "      <td>164</td>\n",
+       "      <td>43</td>\n",
+       "      <td>11</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3</td>\n",
+       "      <td>185.690994</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>8</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>3</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7341</th>\n",
+       "      <td>7342</td>\n",
+       "      <td>187</td>\n",
+       "      <td>49</td>\n",
+       "      <td>13</td>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1344.867554</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>14</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "      <td>6</td>\n",
+       "      <td>6</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1005</th>\n",
+       "      <td>1006</td>\n",
+       "      <td>31</td>\n",
+       "      <td>8</td>\n",
+       "      <td>2</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3</td>\n",
+       "      <td>254.069702</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>3</td>\n",
+       "      <td>6</td>\n",
+       "      <td>6</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15720</th>\n",
+       "      <td>15721</td>\n",
+       "      <td>366</td>\n",
+       "      <td>94</td>\n",
+       "      <td>24</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3</td>\n",
+       "      <td>340.003021</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>20</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "      <td>6</td>\n",
+       "      <td>6</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>477</th>\n",
+       "      <td>478</td>\n",
+       "      <td>17</td>\n",
+       "      <td>5</td>\n",
+       "      <td>2</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3</td>\n",
+       "      <td>222.034149</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>12</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "      <td>2</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>19112</th>\n",
+       "      <td>19113</td>\n",
+       "      <td>433</td>\n",
+       "      <td>111</td>\n",
+       "      <td>28</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3</td>\n",
+       "      <td>414.827057</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>11</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>6</td>\n",
+       "      <td>6</td>\n",
+       "      <td>6</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14798</th>\n",
+       "      <td>14799</td>\n",
+       "      <td>344</td>\n",
+       "      <td>89</td>\n",
+       "      <td>23</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3</td>\n",
+       "      <td>322.470703</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>14</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>3</td>\n",
+       "      <td>6</td>\n",
+       "      <td>6</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12031</th>\n",
+       "      <td>12032</td>\n",
+       "      <td>284</td>\n",
+       "      <td>74</td>\n",
+       "      <td>19</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2515.791016</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>12</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>6</td>\n",
+       "      <td>5</td>\n",
+       "      <td>6</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11567</th>\n",
+       "      <td>11568</td>\n",
+       "      <td>275</td>\n",
+       "      <td>71</td>\n",
+       "      <td>18</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2504.348145</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>8</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3</td>\n",
+       "      <td>2</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2919</th>\n",
+       "      <td>2920</td>\n",
+       "      <td>74</td>\n",
+       "      <td>19</td>\n",
+       "      <td>5</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3</td>\n",
+       "      <td>173.631958</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>4</td>\n",
+       "      <td>...</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>3</td>\n",
+       "      <td>2</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8756</th>\n",
+       "      <td>8757</td>\n",
+       "      <td>221</td>\n",
+       "      <td>57</td>\n",
+       "      <td>15</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2256.531006</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>5</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>17221</th>\n",
+       "      <td>17222</td>\n",
+       "      <td>399</td>\n",
+       "      <td>103</td>\n",
+       "      <td>26</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>3299.711670</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>6</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>926</th>\n",
+       "      <td>927</td>\n",
+       "      <td>29</td>\n",
+       "      <td>8</td>\n",
+       "      <td>2</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3</td>\n",
+       "      <td>223.366684</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>13</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15507</th>\n",
+       "      <td>15508</td>\n",
+       "      <td>361</td>\n",
+       "      <td>93</td>\n",
+       "      <td>24</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3</td>\n",
+       "      <td>615.392822</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>19</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "      <td>2</td>\n",
+       "      <td>6</td>\n",
+       "      <td>6</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3971</th>\n",
+       "      <td>3972</td>\n",
+       "      <td>99</td>\n",
+       "      <td>25</td>\n",
+       "      <td>7</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>577.784546</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>9</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>5</td>\n",
+       "      <td>5</td>\n",
+       "      <td>5</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>422</th>\n",
+       "      <td>423</td>\n",
+       "      <td>14</td>\n",
+       "      <td>4</td>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3</td>\n",
+       "      <td>253.253479</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>10</td>\n",
+       "      <td>...</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>3</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1000 rows × 300 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "         ids  clsids  schids  ctyids  frame  subsample      sweight  fall  \\\n",
+       "17279  17280     400     103      26      1          1  3349.566406     0   \n",
+       "8238    8239     210      55      14      3          3   295.581360     0   \n",
+       "904      905      29       8       2      3          3   223.366684     0   \n",
+       "7598    7599     194      51      13      1          3  1310.661499     0   \n",
+       "13588  13589     315      81      21      1          1  4033.718506     1   \n",
+       "1446    1447      40      10       3      1          1  2729.416748     0   \n",
+       "7406    7407     189      49      13      1          3  1176.174805     0   \n",
+       "4660    4661     124      31       8      2          2   102.699226     1   \n",
+       "1665    1666      44      11       3      1          1  2502.247314     0   \n",
+       "10059  10060     246      64      16      1          1   960.467529     1   \n",
+       "8372    8373     213      55      14      3          3   326.005280     0   \n",
+       "11920  11921     282      73      19      1          1  2595.052979     1   \n",
+       "16995  16996     396     102      26      1          1  3535.297363     0   \n",
+       "11612  11613     276      72      18      1          1  2267.509277     1   \n",
+       "5834    5835     156      41      11      3          3   270.640533     1   \n",
+       "12529  12530     294      76      19      1          1  3419.157959     1   \n",
+       "15315  15316     356      92      23      3          3   273.583069     0   \n",
+       "484      485      17       5       2      3          3   219.780060     0   \n",
+       "969      970      30       8       2      3          3   225.657578     0   \n",
+       "1475    1476      41      11       3      1          1  2564.941650     0   \n",
+       "1168    1169      34       9       3      1          1  2535.203857     0   \n",
+       "17051  17052     396     102      26      1          1  3535.297363     0   \n",
+       "18437  18438     421     108      27      1          1  3951.174805     1   \n",
+       "6515    6516     171      45      12      1          1  2047.846313     1   \n",
+       "16192  16193     379      98      25      1          1  1380.108765     1   \n",
+       "1142    1143      34       9       3      1          1  2535.203857     0   \n",
+       "8413    8414     214      56      14      3          3   281.892578     0   \n",
+       "11680  11681     277      72      18      1          1  2267.509521     1   \n",
+       "15408  15409     359      93      24      3          3   290.824188     0   \n",
+       "2043    2044      53      14       4      1          1  1766.453613     1   \n",
+       "...      ...     ...     ...     ...    ...        ...          ...   ...   \n",
+       "6360    6361     168      44      11      3          3    94.228058     1   \n",
+       "9237    9238     231      60      15      1          1  3871.945312     1   \n",
+       "10562  10563     257      67      17      1          1  2164.127930     1   \n",
+       "4282    4283     111      28       7      2          2   441.248688     1   \n",
+       "17002  17003     396     102      26      1          1  3535.297363     0   \n",
+       "6109    6110     163      42      11      3          3   230.826523     1   \n",
+       "13493  13494     314      81      21      1          1  3597.105957     1   \n",
+       "1501    1502      41      11       3      1          1  2550.557861     0   \n",
+       "2941    2942      75      19       5      3          3   195.046204     0   \n",
+       "7459    7460     190      50      13      1          3  1268.525635     0   \n",
+       "687      688      23       6       2      3          3   288.219666     0   \n",
+       "3317    3318      82      21       6      1          1  3251.629395     1   \n",
+       "14264  14265     331      86      22      1          1  2362.489502     0   \n",
+       "9285    9286     233      60      15      1          1  3895.416992     1   \n",
+       "6181    6182     164      43      11      3          3   185.690994     1   \n",
+       "7341    7342     187      49      13      1          3  1344.867554     0   \n",
+       "1005    1006      31       8       2      3          3   254.069702     0   \n",
+       "15720  15721     366      94      24      3          3   340.003021     0   \n",
+       "477      478      17       5       2      3          3   222.034149     0   \n",
+       "19112  19113     433     111      28      3          3   414.827057     1   \n",
+       "14798  14799     344      89      23      3          3   322.470703     0   \n",
+       "12031  12032     284      74      19      1          1  2515.791016     1   \n",
+       "11567  11568     275      71      18      1          1  2504.348145     1   \n",
+       "2919    2920      74      19       5      3          3   173.631958     0   \n",
+       "8756    8757     221      57      15      1          1  2256.531006     1   \n",
+       "17221  17222     399     103      26      1          1  3299.711670     0   \n",
+       "926      927      29       8       2      3          3   223.366684     0   \n",
+       "15507  15508     361      93      24      3          3   615.392822     0   \n",
+       "3971    3972      99      25       7      2          2   577.784546     1   \n",
+       "422      423      14       4       1      3          3   253.253479     0   \n",
+       "\n",
+       "       grade9  stcog   ...    steco_3c stonly stsib stsibrank stmedu stfedu  \\\n",
+       "17279       0      3   ...           1      2     2         2      3      3   \n",
+       "8238        0      3   ...           1      2     2         2      6      3   \n",
+       "904         0      8   ...           2      1                      6      6   \n",
+       "7598        0     14   ...           2      1                      2      2   \n",
+       "13588       1      7   ...           1      2     1         3      2      3   \n",
+       "1446        1      4   ...           2      2     1         1      6      3   \n",
+       "7406        1     11   ...           2      2     1         1      6      3   \n",
+       "4660        1     11   ...           1      2     1         3      8      6   \n",
+       "1665        1     13   ...           2      2     1         3      6      4   \n",
+       "10059       0     10   ...           2      2     1         1      3      3   \n",
+       "8372        1     10   ...           2      2     1         3      2      3   \n",
+       "11920       1      4   ...           2      2     2         2      3      3   \n",
+       "16995       0     12   ...           1      2     2         3      1      2   \n",
+       "11612       0      5   ...           1      1                      4      4   \n",
+       "5834        0      9   ...           2      2     2         3      3      3   \n",
+       "12529       1      7   ...           1      2     1         1      2      2   \n",
+       "15315       0     12   ...           2      1                      2      6   \n",
+       "484         0     12   ...           2      2     1         3      3      3   \n",
+       "969         0      7   ...           2      1                      6      3   \n",
+       "1475        0     11   ...           2      1                      8      6   \n",
+       "1168        0     14   ...           2      1                      7      7   \n",
+       "17051       0     11   ...           2      2     1         1      2      3   \n",
+       "18437       1     11   ...           2      1                      4      6   \n",
+       "6515        0     17   ...           2      1                      8      8   \n",
+       "16192       0      9   ...           1      1                      2      3   \n",
+       "1142        0     15   ...           2      1                      4      4   \n",
+       "8413        0     10   ...           2      2     1         3      6      3   \n",
+       "11680       0     13   ...           1      2     1         3      3      3   \n",
+       "15408       0     14   ...           2      1                      3      2   \n",
+       "2043        0     11   ...           1      2     2         2      3      3   \n",
+       "...       ...    ...   ...         ...    ...   ...       ...    ...    ...   \n",
+       "6360        0      5   ...           3      2     2         1      3      7   \n",
+       "9237        0      7   ...           3      1                      6      6   \n",
+       "10562       0     12   ...           2      2     1         1      3      3   \n",
+       "4282        1     14   ...           2      1                      8      9   \n",
+       "17002       0      5   ...           2      2     2         3      3      3   \n",
+       "6109        1     13   ...           1      2     1         1      6      6   \n",
+       "13493       1      8   ...           1      1                      8      8   \n",
+       "1501        0     16   ...           2      1                      7      7   \n",
+       "2941        1     13   ...           2      1                      4      2   \n",
+       "7459        0     15   ...           2      2     1         1      3      3   \n",
+       "687         1     10   ...           2      2                      3      3   \n",
+       "3317        0     12   ...           2      1                      3      6   \n",
+       "14264       0      9   ...           1      2     1         1      6      7   \n",
+       "9285        1      3   ...           2      2     1         1      2      3   \n",
+       "6181        0      8   ...           2      1                      3      3   \n",
+       "7341        0     14   ...           2      2     1         1      3      6   \n",
+       "1005        1      3   ...           2      1                      3      6   \n",
+       "15720       1     20   ...           2      2     1         1      3      6   \n",
+       "477         0     12   ...           1      2     1         3      2      3   \n",
+       "19112       1     11   ...           1      2     1         1      6      6   \n",
+       "14798       0     14   ...           1      1                      3      6   \n",
+       "12031       0     12   ...           2      2     1         1      6      5   \n",
+       "11567       1      8   ...           1      2     1         3      3      2   \n",
+       "2919        0      4   ...           3      1                      3      2   \n",
+       "8756        1      5   ...           2      1                      1      2   \n",
+       "17221       0      6   ...           1      2     2         1      1      2   \n",
+       "926         0     13   ...           2      2     1         3      3      3   \n",
+       "15507       1     19   ...           2      2     1         3      2      6   \n",
+       "3971        1      9   ...           2      1                      5      5   \n",
+       "422         0     10   ...           3      1                      3      3   \n",
+       "\n",
+       "      stprhedu stfdrunk stprfight stprrel  \n",
+       "17279        3        1         1       2  \n",
+       "8238         6        1         1       2  \n",
+       "904          6        1         1       2  \n",
+       "7598         2        1         1       2  \n",
+       "13588        3        1         1       2  \n",
+       "1446         6        1         1       2  \n",
+       "7406         6        1         1       2  \n",
+       "4660         8        1         1       2  \n",
+       "1665         6        1         1       2  \n",
+       "10059        3        1         1       2  \n",
+       "8372         3        1         1       2  \n",
+       "11920        3                             \n",
+       "16995        2                          2  \n",
+       "11612        4        1         1       2  \n",
+       "5834         3        1         1       2  \n",
+       "12529        2        1         1       2  \n",
+       "15315        6        1         1       2  \n",
+       "484          3        1         1       2  \n",
+       "969          6        1         1       2  \n",
+       "1475         8        1         1       2  \n",
+       "1168         7        1         1       2  \n",
+       "17051        3        1         1       2  \n",
+       "18437        6        1         1       2  \n",
+       "6515         8        1         1       2  \n",
+       "16192        3        1                    \n",
+       "1142         4        1         1       2  \n",
+       "8413         6        1         1       2  \n",
+       "11680        3        1         1       1  \n",
+       "15408        3        1         1       2  \n",
+       "2043         3        1         1       2  \n",
+       "...        ...      ...       ...     ...  \n",
+       "6360         7                             \n",
+       "9237         6        1         1       2  \n",
+       "10562        3        1         1       2  \n",
+       "4282         9        1         1       2  \n",
+       "17002        3        1         1       2  \n",
+       "6109         6        1         1       2  \n",
+       "13493        8        1         1          \n",
+       "1501         7        1         1       2  \n",
+       "2941         4        1         1       2  \n",
+       "7459         3        1         1       2  \n",
+       "687          3        1         1       2  \n",
+       "3317         6        1         1       2  \n",
+       "14264        7        2         1       2  \n",
+       "9285         3        1         1       1  \n",
+       "6181         3        1         1       2  \n",
+       "7341         6        1         1       2  \n",
+       "1005         6        1         1       2  \n",
+       "15720        6        1         1       2  \n",
+       "477          3        1         1       2  \n",
+       "19112        6        1         1       2  \n",
+       "14798        6        1         1       1  \n",
+       "12031        6        1         1       2  \n",
+       "11567        3        1         2       2  \n",
+       "2919         3        1         2       1  \n",
+       "8756         2        1         1       1  \n",
+       "17221        2        1         1       2  \n",
+       "926          3        1         1       2  \n",
+       "15507        6        1         1       2  \n",
+       "3971         5        1         1       2  \n",
+       "422          3        1         1       2  \n",
+       "\n",
+       "[1000 rows x 300 columns]"
+      ]
+     },
+     "execution_count": 72,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "%matplotlib inline\n",
+    "import statsmodels.api as sm\n",
+    "import statsmodels.formula.api as smf\n",
+    "import numpy as np\n",
+    "import pandas as pd\n",
+    "#导入数据\n",
+    "sentinels = {'c12': [' '], 'b01': [' '], 'b06': [' '], 'b07': [' ']}\n",
+    "df = pd.read_csv('CEPS.csv',encoding='gb2312', na_values=sentinels)\n",
+    "df=df.sample(n=1000)   #随机抽取1000个样本数据\n",
+    "df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 73,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "#建立数据框\n",
+    "data = pd.DataFrame({\n",
+    "    'x1': df.b01,\n",
+    "    'x2': df.b06,\n",
+    "    'x3': df.b07,\n",
+    "    'y': df.c12})\n",
+    "#父母的教育程度和家庭状况对孩子成绩的影响\n",
+    "data=data.dropna(axis=0,how='any') "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 74,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "model_x= ['x1', 'x2','x3']\n",
+    "X = data.loc[ :,model_x].values\n",
+    "y=data['y'].values"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 75,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "model = sm.OLS(y, X)    #拟合普通最小二乘回归\n",
+    "results = model.fit()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 76,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([ 0.96508224,  0.19474391,  0.1526462 ])"
+      ]
+     },
+     "execution_count": 76,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "results.params  #各变量系数"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 77,
+   "metadata": {
+    "collapsed": false,
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "                            OLS Regression Results                            \n",
+      "==============================================================================\n",
+      "Dep. Variable:                      y   R-squared:                       0.850\n",
+      "Model:                            OLS   Adj. R-squared:                  0.849\n",
+      "Method:                 Least Squares   F-statistic:                     1842.\n",
+      "Date:                Sun, 30 Dec 2018   Prob (F-statistic):               0.00\n",
+      "Time:                        22:38:32   Log-Likelihood:                -1603.6\n",
+      "No. Observations:                 980   AIC:                             3213.\n",
+      "Df Residuals:                     977   BIC:                             3228.\n",
+      "Df Model:                           3                                         \n",
+      "Covariance Type:            nonrobust                                         \n",
+      "==============================================================================\n",
+      "                 coef    std err          t      P>|t|      [95.0% Conf. Int.]\n",
+      "------------------------------------------------------------------------------\n",
+      "x1             0.9651      0.042     22.911      0.000         0.882     1.048\n",
+      "x2             0.1947      0.026      7.403      0.000         0.143     0.246\n",
+      "x3             0.1526      0.025      6.004      0.000         0.103     0.203\n",
+      "==============================================================================\n",
+      "Omnibus:                       25.077   Durbin-Watson:                   1.925\n",
+      "Prob(Omnibus):                  0.000   Jarque-Bera (JB):               15.088\n",
+      "Skew:                          -0.144   Prob(JB):                     0.000529\n",
+      "Kurtosis:                       2.465   Cond. No.                         6.87\n",
+      "==============================================================================\n",
+      "\n",
+      "Warnings:\n",
+      "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(results.summary())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "1.模型拟合指标\n",
+    "y=“你目前的成绩”\n",
+    "x1=“是否独生子女”x2=“你妈妈的教育水平”，x3=“你爸爸的教育水平”\n",
+    "2.模型的显著性检验结果\n",
+    "F统计量的p值小于0.05，R方为0.85，模型是合理的，对因变量的的波动因素的解释度达85%\n",
+    "3.变量的系数\n",
+    "分别为：0.96508224,  0.19474391,  0.1526462 \n",
+    "4.各系数的显著性检验结果\n",
+    "x1,x2,x3的系数的p值均接近于0，小于0.05，拒绝原假设，说明自变量与因变量之间是显著性相关的。\n",
+    "5.对模型结果的解释\n",
+    "原数据是服从正态分布的\n",
+    "线性回归模型y=0.96508224*x1+0.19474391*x2+0.1526462*x3\n",
+    "可以看到，非独生子女成绩往往会更高，妈妈的教育水平比父亲的教育水平对孩子成绩的影响力更大，\n",
+    "毕竟母亲一般较父亲与孩子相处的时间更多，对孩子的影响也较大。"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
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+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.6.0"
+  },
+  "toc": {
+   "base_numbering": 1,
+   "nav_menu": {},
+   "number_sections": true,
+   "sideBar": true,
+   "skip_h1_title": false,
+   "title_cell": "Table of Contents",
+   "title_sidebar": "Contents",
+   "toc_cell": false,
+   "toc_position": {},
+   "toc_section_display": true,
+   "toc_window_display": false
+  }
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+}