analysis_linear_regression_script.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "from sklearn.linear_model import LinearRegression\n",
    "from sklearn.metrics import r2_score\n",
    "import statsmodels.api as sm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>first_prize</th>\n",
       "      <th>first_prize_size</th>\n",
       "      <th>prize_pool</th>\n",
       "      <th>resrult_bef1</th>\n",
       "      <th>resrult_bef2</th>\n",
       "      <th>resrult_bef3</th>\n",
       "      <th>resrult_bef4</th>\n",
       "      <th>resrult_bef5</th>\n",
       "      <th>resrult_beh1</th>\n",
       "      <th>resrult_beh2</th>\n",
       "      <th>result_day</th>\n",
       "      <th>result_num</th>\n",
       "      <th>second_prize</th>\n",
       "      <th>second_prize_size</th>\n",
       "      <th>total_bet_amount</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>10,000,000</td>\n",
       "      <td>4</td>\n",
       "      <td>2,450,995,411</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>9</td>\n",
       "      <td>23</td>\n",
       "      <td>34</td>\n",
       "      <td>2</td>\n",
       "      <td>11</td>\n",
       "      <td>2019/10/19</td>\n",
       "      <td>19119</td>\n",
       "      <td>611,893</td>\n",
       "      <td>83</td>\n",
       "      <td>296,906,555</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>10,000,000</td>\n",
       "      <td>2</td>\n",
       "      <td>2,505,219,109</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>13</td>\n",
       "      <td>19</td>\n",
       "      <td>26</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>2019/10/16</td>\n",
       "      <td>19118</td>\n",
       "      <td>406,469</td>\n",
       "      <td>101</td>\n",
       "      <td>272,734,633</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>10,000,000</td>\n",
       "      <td>4</td>\n",
       "      <td>2,510,705,016</td>\n",
       "      <td>1</td>\n",
       "      <td>18</td>\n",
       "      <td>21</td>\n",
       "      <td>25</td>\n",
       "      <td>35</td>\n",
       "      <td>7</td>\n",
       "      <td>8</td>\n",
       "      <td>2019/10/14</td>\n",
       "      <td>19117</td>\n",
       "      <td>806,808</td>\n",
       "      <td>66</td>\n",
       "      <td>271,077,215</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>10,000,000</td>\n",
       "      <td>4</td>\n",
       "      <td>2,540,591,129</td>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>16</td>\n",
       "      <td>21</td>\n",
       "      <td>23</td>\n",
       "      <td>2</td>\n",
       "      <td>12</td>\n",
       "      <td>2019/10/12</td>\n",
       "      <td>19116</td>\n",
       "      <td>770,679</td>\n",
       "      <td>87</td>\n",
       "      <td>297,819,968</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>10,000,000</td>\n",
       "      <td>6</td>\n",
       "      <td>2,576,114,778</td>\n",
       "      <td>1</td>\n",
       "      <td>18</td>\n",
       "      <td>21</td>\n",
       "      <td>28</td>\n",
       "      <td>32</td>\n",
       "      <td>5</td>\n",
       "      <td>12</td>\n",
       "      <td>2019/10/9</td>\n",
       "      <td>19115</td>\n",
       "      <td>498,979</td>\n",
       "      <td>105</td>\n",
       "      <td>286,493,206</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Unnamed: 0 first_prize  first_prize_size     prize_pool  resrult_bef1  \\\n",
       "0           0  10,000,000                 4  2,450,995,411             3   \n",
       "1           1  10,000,000                 2  2,505,219,109             2   \n",
       "2           2  10,000,000                 4  2,510,705,016             1   \n",
       "3           3  10,000,000                 4  2,540,591,129             2   \n",
       "4           4  10,000,000                 6  2,576,114,778             1   \n",
       "\n",
       "   resrult_bef2  resrult_bef3  resrult_bef4  resrult_bef5  resrult_beh1  \\\n",
       "0             6             9            23            34             2   \n",
       "1             3            13            19            26             2   \n",
       "2            18            21            25            35             7   \n",
       "3            10            16            21            23             2   \n",
       "4            18            21            28            32             5   \n",
       "\n",
       "   resrult_beh2  result_day  result_num second_prize  second_prize_size  \\\n",
       "0            11  2019/10/19       19119      611,893                 83   \n",
       "1             3  2019/10/16       19118      406,469                101   \n",
       "2             8  2019/10/14       19117      806,808                 66   \n",
       "3            12  2019/10/12       19116      770,679                 87   \n",
       "4            12   2019/10/9       19115      498,979                105   \n",
       "\n",
       "  total_bet_amount  \n",
       "0      296,906,555  \n",
       "1      272,734,633  \n",
       "2      271,077,215  \n",
       "3      297,819,968  \n",
       "4      286,493,206  "
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = pd.read_csv('/Users/lianxiaobao/lianxiaobao/bigdatabook/daletou.csv')\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1152x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(16, 8))\n",
    "plt.scatter(\n",
    "    data['result_day'],\n",
    "    data['resrult_bef1'],\n",
    "    c='black'\n",
    ")\n",
    "plt.xlabel(\"daletou open day(d)\")\n",
    "plt.ylabel(\"bef1 (num)\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Unnamed: 0', 'first_prize', 'first_prize_size', 'prize_pool',\n",
       "       'resrult_bef1', 'resrult_bef2', 'resrult_bef3', 'resrult_bef4',\n",
       "       'resrult_bef5', 'resrult_beh1', 'resrult_beh2', 'result_day',\n",
       "       'result_num', 'second_prize', 'second_prize_size', 'total_bet_amount'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1152x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(16, 8))\n",
    "plt.scatter(\n",
    "    data['result_day'],\n",
    "    data['resrult_beh1'],\n",
    "    c='black'\n",
    ")\n",
    "plt.xlabel(\"daletou open day(d)\")\n",
    "plt.ylabel(\"bef1 (num)\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.0007193466601768446\n",
      "5.6506553914011715\n"
     ]
    }
   ],
   "source": [
    "X = data['Unnamed: 0'].values.reshape(-1,1)\n",
    "y = data['resrult_bef1'].values.reshape(-1,1)\n",
    "reg = LinearRegression()\n",
    "reg.fit(X, y)\n",
    "print(reg.coef_[0][0])\n",
    "print(reg.intercept_[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The huigui model is: Y = 5.65066 + 0.000719347X\n"
     ]
    }
   ],
   "source": [
    "print(\"The huigui model is: Y = {:.6} + {:.6}X\".format(reg.intercept_[0], reg.coef_[0][0]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1152x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "predictions = reg.predict(X)\n",
    "plt.figure(figsize=(16, 8))\n",
    "plt.scatter(\n",
    "    data['Unnamed: 0'],\n",
    "    data['resrult_bef1'],\n",
    "    c='black'\n",
    ")\n",
    "plt.plot(\n",
    "    data['Unnamed: 0'],\n",
    "    predictions,\n",
    "    c='blue',\n",
    "    linewidth=4\n",
    ")\n",
    "plt.xlabel(\"daletou open day(d)\")\n",
    "plt.ylabel(\"bef1 (num)\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "const         5.650655\n",
       "Unnamed: 0    0.000719\n",
       "dtype: float64"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X = data['Unnamed: 0']\n",
    "y = data['resrult_bef1']\n",
    "X2 = sm.add_constant(X)\n",
    "model = sm.OLS(y, X2)\n",
    "result = model.fit()\n",
    "\n",
    "result.params"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                            OLS Regression Results                            \n",
      "==============================================================================\n",
      "Dep. Variable:           resrult_bef1   R-squared:                       0.006\n",
      "Model:                            OLS   Adj. R-squared:                  0.006\n",
      "Method:                 Least Squares   F-statistic:                     11.54\n",
      "Date:                Thu, 24 Oct 2019   Prob (F-statistic):           0.000696\n",
      "Time:                        19:20:31   Log-Likelihood:                -5781.4\n",
      "No. Observations:                1901   AIC:                         1.157e+04\n",
      "Df Residuals:                    1899   BIC:                         1.158e+04\n",
      "Df Model:                           1                                         \n",
      "Covariance Type:            nonrobust                                         \n",
      "==============================================================================\n",
      "                 coef    std err          t      P>|t|      [0.025      0.975]\n",
      "------------------------------------------------------------------------------\n",
      "const          5.6507      0.232     24.319      0.000       5.195       6.106\n",
      "Unnamed: 0     0.0007      0.000      3.397      0.001       0.000       0.001\n",
      "==============================================================================\n",
      "Omnibus:                      388.306   Durbin-Watson:                   2.003\n",
      "Prob(Omnibus):                  0.000   Jarque-Bera (JB):              695.987\n",
      "Skew:                           1.275   Prob(JB):                    7.38e-152\n",
      "Kurtosis:                       4.510   Cond. No.                     2.19e+03\n",
      "==============================================================================\n",
      "\n",
      "Warnings:\n",
      "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
      "[2] The condition number is large, 2.19e+03. This might indicate that there are\n",
      "strong multicollinearity or other numerical problems.\n"
     ]
    }
   ],
   "source": [
    "print(result2.summary())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x1c1c0d61d0>"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1152x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 中间偏下的 coef 列就是计算出的回归系数。\n",
    "# 我们还可以将拟合结果画出来。先调用拟合结果的 fittedvalues 得到拟合的 y 值。\n",
    "y_fitted = result.fittedvalues\n",
    "\n",
    "# 然后使用 matplotlib.pyploft 画图。首先设定图轴，图片大小为 16×8。\n",
    "fig, ax = plt.subplots(figsize=(16,8))\n",
    "\n",
    "# 画出原数据，图像为圆点，默认颜色为蓝。\n",
    "ax.plot(X, y, 'o', label='data')\n",
    "\n",
    "# 画出拟合数据，图像为红色带点间断线。\n",
    "ax.plot(X, y_fitted, 'r--.',label='OLS')\n",
    "\n",
    "# 放置注解。\n",
    "ax.legend(loc='best')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.1"
  },
  "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
}
 