{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "#新增加的两行\n",
    "from pylab import mpl\n",
    "\n",
    "# 设置显示中文字体\n",
    "\n",
    "mpl.rcParams[\"font.sans-serif\"] = [\"SimHei\"]\n",
    "\n",
    "mpl.rcParams[\"axes.unicode_minus\"] = False"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "outputs": [
    {
     "data": {
      "text/plain": "          日期        企业名称         地址   省份            经度            纬度  烟囱高度（m）  \\\n0 2018-10-01  浙江秀舟热电有限公司  嘉兴市南湖区凤桥镇  浙江省  120°51′5.54″  30°39′14.76″       80   \n1 2018-10-02  浙江秀舟热电有限公司  嘉兴市南湖区凤桥镇  浙江省  120°51′5.54″  30°39′14.76″       80   \n2 2018-10-03  浙江秀舟热电有限公司  嘉兴市南湖区凤桥镇  浙江省  120°51′5.54″  30°39′14.76″       80   \n3 2018-10-04  浙江秀舟热电有限公司  嘉兴市南湖区凤桥镇  浙江省  120°51′5.54″  30°39′14.76″       80   \n4 2018-10-05  浙江秀舟热电有限公司  嘉兴市南湖区凤桥镇  浙江省  120°51′5.54″  30°39′14.76″       80   \n\n       脱硝工艺 脱硝剂名称  脱硝设备数量  ...  供热量（吉焦） 产渣量（吨） 机组运行时间（小时）  硫分（%） 脱硫副产品产量（吨）  \\\n0  SNCR SCR    氨水       3  ...  6536.83    NaN       24.0   0.51        NaN   \n1  SNCR SCR    氨水       3  ...  2484.64    NaN       24.0   0.51        NaN   \n2  SNCR SCR    氨水       3  ...  3020.83    NaN       24.0   0.51        NaN   \n3  SNCR SCR    氨水       3  ...  5599.23    NaN       24.0   0.51      72.52   \n4  SNCR SCR    氨水       3  ...  4702.65    NaN       24.0   0.51        NaN   \n\n   脱硫剂使用量（吨）  脱硫设施运行时间（小时）  脱硝还原剂消耗量（吨）  脱硝运行时间（小时）  燃料消耗量（吨）  \n0       5.06          24.0         2.98        24.0       323  \n1       5.04          24.0         2.97        24.0       218  \n2       5.04          24.0         2.95        24.0       212  \n3       5.03          24.0         2.98        24.0       223  \n4       5.06          24.0         3.01        24.0       243  \n\n[5 rows x 44 columns]",
      "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>日期</th>\n      <th>企业名称</th>\n      <th>地址</th>\n      <th>省份</th>\n      <th>经度</th>\n      <th>纬度</th>\n      <th>烟囱高度（m）</th>\n      <th>脱硝工艺</th>\n      <th>脱硝剂名称</th>\n      <th>脱硝设备数量</th>\n      <th>...</th>\n      <th>供热量（吉焦）</th>\n      <th>产渣量（吨）</th>\n      <th>机组运行时间（小时）</th>\n      <th>硫分（%）</th>\n      <th>脱硫副产品产量（吨）</th>\n      <th>脱硫剂使用量（吨）</th>\n      <th>脱硫设施运行时间（小时）</th>\n      <th>脱硝还原剂消耗量（吨）</th>\n      <th>脱硝运行时间（小时）</th>\n      <th>燃料消耗量（吨）</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>2018-10-01</td>\n      <td>浙江秀舟热电有限公司</td>\n      <td>嘉兴市南湖区凤桥镇</td>\n      <td>浙江省</td>\n      <td>120°51′5.54″</td>\n      <td>30°39′14.76″</td>\n      <td>80</td>\n      <td>SNCR SCR</td>\n      <td>氨水</td>\n      <td>3</td>\n      <td>...</td>\n      <td>6536.83</td>\n      <td>NaN</td>\n      <td>24.0</td>\n      <td>0.51</td>\n      <td>NaN</td>\n      <td>5.06</td>\n      <td>24.0</td>\n      <td>2.98</td>\n      <td>24.0</td>\n      <td>323</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2018-10-02</td>\n      <td>浙江秀舟热电有限公司</td>\n      <td>嘉兴市南湖区凤桥镇</td>\n      <td>浙江省</td>\n      <td>120°51′5.54″</td>\n      <td>30°39′14.76″</td>\n      <td>80</td>\n      <td>SNCR SCR</td>\n      <td>氨水</td>\n      <td>3</td>\n      <td>...</td>\n      <td>2484.64</td>\n      <td>NaN</td>\n      <td>24.0</td>\n      <td>0.51</td>\n      <td>NaN</td>\n      <td>5.04</td>\n      <td>24.0</td>\n      <td>2.97</td>\n      <td>24.0</td>\n      <td>218</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>2018-10-03</td>\n      <td>浙江秀舟热电有限公司</td>\n      <td>嘉兴市南湖区凤桥镇</td>\n      <td>浙江省</td>\n      <td>120°51′5.54″</td>\n      <td>30°39′14.76″</td>\n      <td>80</td>\n      <td>SNCR SCR</td>\n      <td>氨水</td>\n      <td>3</td>\n      <td>...</td>\n      <td>3020.83</td>\n      <td>NaN</td>\n      <td>24.0</td>\n      <td>0.51</td>\n      <td>NaN</td>\n      <td>5.04</td>\n      <td>24.0</td>\n      <td>2.95</td>\n      <td>24.0</td>\n      <td>212</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>2018-10-04</td>\n      <td>浙江秀舟热电有限公司</td>\n      <td>嘉兴市南湖区凤桥镇</td>\n      <td>浙江省</td>\n      <td>120°51′5.54″</td>\n      <td>30°39′14.76″</td>\n      <td>80</td>\n      <td>SNCR SCR</td>\n      <td>氨水</td>\n      <td>3</td>\n      <td>...</td>\n      <td>5599.23</td>\n      <td>NaN</td>\n      <td>24.0</td>\n      <td>0.51</td>\n      <td>72.52</td>\n      <td>5.03</td>\n      <td>24.0</td>\n      <td>2.98</td>\n      <td>24.0</td>\n      <td>223</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>2018-10-05</td>\n      <td>浙江秀舟热电有限公司</td>\n      <td>嘉兴市南湖区凤桥镇</td>\n      <td>浙江省</td>\n      <td>120°51′5.54″</td>\n      <td>30°39′14.76″</td>\n      <td>80</td>\n      <td>SNCR SCR</td>\n      <td>氨水</td>\n      <td>3</td>\n      <td>...</td>\n      <td>4702.65</td>\n      <td>NaN</td>\n      <td>24.0</td>\n      <td>0.51</td>\n      <td>NaN</td>\n      <td>5.06</td>\n      <td>24.0</td>\n      <td>3.01</td>\n      <td>24.0</td>\n      <td>243</td>\n    </tr>\n  </tbody>\n</table>\n<p>5 rows × 44 columns</p>\n</div>"
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "zjxz_daily = pd.read_excel('./data/机器学习样表.xlsx', sheet_name=0, header=[0, 1])\n",
    "old_cols = zjxz_daily.columns\n",
    "new_cols = [x[0].strip() if 'Unnamed' in x[1] else x[0] + '_' + x[1] for x in old_cols]\n",
    "zjxz_daily.columns = new_cols\n",
    "zjxz_daily.head()"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "outputs": [],
   "source": [
    "zjxz_daily_data = zjxz_daily[['日期', '企业名称', '发电量（千瓦时）', '供热量（吉焦）', '燃料消耗量（吨）']].copy()"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "outputs": [
    {
     "data": {
      "text/plain": "             日期        企业名称   发电量（千瓦时）   供热量（吉焦）  燃料消耗量（吨）\n0    2018-10-01  浙江秀舟热电有限公司  156796.00   6536.83       323\n1    2018-10-02  浙江秀舟热电有限公司  133984.00   2484.64       218\n2    2018-10-03  浙江秀舟热电有限公司  134023.00   3020.83       212\n3    2018-10-04  浙江秀舟热电有限公司  124765.00   5599.23       223\n4    2018-10-05  浙江秀舟热电有限公司  134414.00   4702.65       243\n...         ...         ...        ...       ...       ...\n1173 2022-01-22  浙江秀舟热电有限公司      52.24  12472.00       822\n1174 2022-01-23  浙江秀舟热电有限公司      51.36  12051.00       790\n1175 2022-01-24  浙江秀舟热电有限公司      51.12  11276.00       751\n1176 2022-01-25  浙江秀舟热电有限公司      49.32  11007.00       672\n1177 2022-01-26  浙江秀舟热电有限公司      29.64   8132.00       484\n\n[1178 rows x 5 columns]",
      "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>日期</th>\n      <th>企业名称</th>\n      <th>发电量（千瓦时）</th>\n      <th>供热量（吉焦）</th>\n      <th>燃料消耗量（吨）</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>2018-10-01</td>\n      <td>浙江秀舟热电有限公司</td>\n      <td>156796.00</td>\n      <td>6536.83</td>\n      <td>323</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2018-10-02</td>\n      <td>浙江秀舟热电有限公司</td>\n      <td>133984.00</td>\n      <td>2484.64</td>\n      <td>218</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>2018-10-03</td>\n      <td>浙江秀舟热电有限公司</td>\n      <td>134023.00</td>\n      <td>3020.83</td>\n      <td>212</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>2018-10-04</td>\n      <td>浙江秀舟热电有限公司</td>\n      <td>124765.00</td>\n      <td>5599.23</td>\n      <td>223</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>2018-10-05</td>\n      <td>浙江秀舟热电有限公司</td>\n      <td>134414.00</td>\n      <td>4702.65</td>\n      <td>243</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>1173</th>\n      <td>2022-01-22</td>\n      <td>浙江秀舟热电有限公司</td>\n      <td>52.24</td>\n      <td>12472.00</td>\n      <td>822</td>\n    </tr>\n    <tr>\n      <th>1174</th>\n      <td>2022-01-23</td>\n      <td>浙江秀舟热电有限公司</td>\n      <td>51.36</td>\n      <td>12051.00</td>\n      <td>790</td>\n    </tr>\n    <tr>\n      <th>1175</th>\n      <td>2022-01-24</td>\n      <td>浙江秀舟热电有限公司</td>\n      <td>51.12</td>\n      <td>11276.00</td>\n      <td>751</td>\n    </tr>\n    <tr>\n      <th>1176</th>\n      <td>2022-01-25</td>\n      <td>浙江秀舟热电有限公司</td>\n      <td>49.32</td>\n      <td>11007.00</td>\n      <td>672</td>\n    </tr>\n    <tr>\n      <th>1177</th>\n      <td>2022-01-26</td>\n      <td>浙江秀舟热电有限公司</td>\n      <td>29.64</td>\n      <td>8132.00</td>\n      <td>484</td>\n    </tr>\n  </tbody>\n</table>\n<p>1178 rows × 5 columns</p>\n</div>"
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "zjxz_daily_data"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "outputs": [
    {
     "data": {
      "text/plain": "            days   发电量（千瓦时）   供热量（吉焦）  机组运行时间（小时）  硫分（%）  脱硫剂使用量（吨）  \\\n0     2018-10-01  156796.00   6536.83        24.0   0.51       5.06   \n1     2018-10-02  133984.00   2484.64        24.0   0.51       5.04   \n2     2018-10-03  134023.00   3020.83        24.0   0.51       5.04   \n3     2018-10-04  124765.00   5599.23        24.0   0.51       5.03   \n4     2018-10-05  134414.00   4702.65        24.0   0.51       5.06   \n...          ...        ...       ...         ...    ...        ...   \n1082  2022-01-22      52.24  12472.00        24.0   0.59       8.46   \n1083  2022-01-23      51.36  12051.00        24.0   0.59       8.46   \n1084  2022-01-24      51.12  11276.00        24.0   0.59       8.43   \n1085  2022-01-25      49.32  11007.00        24.0   0.59       8.43   \n1086  2022-01-26      29.64   8132.00        24.0   0.59       8.44   \n\n      脱硫设施运行时间（小时）  脱硝还原剂消耗量（吨）  脱硝运行时间（小时）  燃料消耗量（吨）  ...          cSO2  \\\n0             24.0         2.98        24.0       323  ...  2.148473e+07   \n1             24.0         2.97        24.0       218  ...  1.587722e+07   \n2             24.0         2.95        24.0       212  ...  2.829086e+07   \n3             24.0         2.98        24.0       223  ...  1.030569e+07   \n4             24.0         3.01        24.0       243  ...  1.830254e+06   \n...            ...          ...         ...       ...  ...           ...   \n1082          24.0         4.56        24.0       822  ...  3.626034e+06   \n1083          24.0         4.58        24.0       790  ...  4.074431e+06   \n1084          24.0         4.57        24.0       751  ...  4.928013e+06   \n1085          24.0         4.56        24.0       672  ...  4.584759e+06   \n1086          24.0         4.57        24.0       484  ...  5.701371e+06   \n\n               cO2        csmoke           flow       rNOx        rO2  \\\n0     3.745944e+07  6.519466e+05  162345.192917  28.981417   9.900000   \n1     2.832146e+07  3.656575e+05  140175.330833  22.220750   9.400000   \n2     3.174159e+07  5.181773e+05  154686.184167  24.816708   8.550000   \n3     2.511504e+07  2.299438e+06  120345.545833  21.875125  10.202083   \n4     4.106346e+07  6.230433e+06  162533.103542  25.605917  11.497917   \n...            ...           ...            ...        ...        ...   \n1082  4.149625e+07  6.512159e+06  218349.604167   2.603662   7.921417   \n1083  4.422277e+07  6.203422e+06  210121.608333   6.638867   8.756333   \n1084  4.655727e+07  6.101480e+06  211378.329167  12.277371   9.110167   \n1085  7.959093e+07  6.326125e+06  240801.208333   5.684492  13.636042   \n1086  9.866431e+07  6.632631e+06  263197.579167   1.672292  15.621583   \n\n           temp      rSO2    rsmoke  day_of_year  \n0     51.250000  5.581667  0.209167          273  \n1     50.679167  4.364167  0.190417          274  \n2     52.808333  7.580000  0.139583          275  \n3     48.854167  2.808958  0.893333          276  \n4     45.783333  0.393333  2.141875          277  \n...         ...       ...       ...          ...  \n1082  55.441542  0.690904  1.242762           21  \n1083  54.574333  0.810112  1.230213           22  \n1084  53.031042  0.973396  1.203483           23  \n1085  42.908458  0.807300  1.098229           24  \n1086  36.412917  0.904429  1.050008           25  \n\n[1087 rows x 165 columns]",
      "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>days</th>\n      <th>发电量（千瓦时）</th>\n      <th>供热量（吉焦）</th>\n      <th>机组运行时间（小时）</th>\n      <th>硫分（%）</th>\n      <th>脱硫剂使用量（吨）</th>\n      <th>脱硫设施运行时间（小时）</th>\n      <th>脱硝还原剂消耗量（吨）</th>\n      <th>脱硝运行时间（小时）</th>\n      <th>燃料消耗量（吨）</th>\n      <th>...</th>\n      <th>cSO2</th>\n      <th>cO2</th>\n      <th>csmoke</th>\n      <th>flow</th>\n      <th>rNOx</th>\n      <th>rO2</th>\n      <th>temp</th>\n      <th>rSO2</th>\n      <th>rsmoke</th>\n      <th>day_of_year</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>2018-10-01</td>\n      <td>156796.00</td>\n      <td>6536.83</td>\n      <td>24.0</td>\n      <td>0.51</td>\n      <td>5.06</td>\n      <td>24.0</td>\n      <td>2.98</td>\n      <td>24.0</td>\n      <td>323</td>\n      <td>...</td>\n      <td>2.148473e+07</td>\n      <td>3.745944e+07</td>\n      <td>6.519466e+05</td>\n      <td>162345.192917</td>\n      <td>28.981417</td>\n      <td>9.900000</td>\n      <td>51.250000</td>\n      <td>5.581667</td>\n      <td>0.209167</td>\n      <td>273</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2018-10-02</td>\n      <td>133984.00</td>\n      <td>2484.64</td>\n      <td>24.0</td>\n      <td>0.51</td>\n      <td>5.04</td>\n      <td>24.0</td>\n      <td>2.97</td>\n      <td>24.0</td>\n      <td>218</td>\n      <td>...</td>\n      <td>1.587722e+07</td>\n      <td>2.832146e+07</td>\n      <td>3.656575e+05</td>\n      <td>140175.330833</td>\n      <td>22.220750</td>\n      <td>9.400000</td>\n      <td>50.679167</td>\n      <td>4.364167</td>\n      <td>0.190417</td>\n      <td>274</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>2018-10-03</td>\n      <td>134023.00</td>\n      <td>3020.83</td>\n      <td>24.0</td>\n      <td>0.51</td>\n      <td>5.04</td>\n      <td>24.0</td>\n      <td>2.95</td>\n      <td>24.0</td>\n      <td>212</td>\n      <td>...</td>\n      <td>2.829086e+07</td>\n      <td>3.174159e+07</td>\n      <td>5.181773e+05</td>\n      <td>154686.184167</td>\n      <td>24.816708</td>\n      <td>8.550000</td>\n      <td>52.808333</td>\n      <td>7.580000</td>\n      <td>0.139583</td>\n      <td>275</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>2018-10-04</td>\n      <td>124765.00</td>\n      <td>5599.23</td>\n      <td>24.0</td>\n      <td>0.51</td>\n      <td>5.03</td>\n      <td>24.0</td>\n      <td>2.98</td>\n      <td>24.0</td>\n      <td>223</td>\n      <td>...</td>\n      <td>1.030569e+07</td>\n      <td>2.511504e+07</td>\n      <td>2.299438e+06</td>\n      <td>120345.545833</td>\n      <td>21.875125</td>\n      <td>10.202083</td>\n      <td>48.854167</td>\n      <td>2.808958</td>\n      <td>0.893333</td>\n      <td>276</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>2018-10-05</td>\n      <td>134414.00</td>\n      <td>4702.65</td>\n      <td>24.0</td>\n      <td>0.51</td>\n      <td>5.06</td>\n      <td>24.0</td>\n      <td>3.01</td>\n      <td>24.0</td>\n      <td>243</td>\n      <td>...</td>\n      <td>1.830254e+06</td>\n      <td>4.106346e+07</td>\n      <td>6.230433e+06</td>\n      <td>162533.103542</td>\n      <td>25.605917</td>\n      <td>11.497917</td>\n      <td>45.783333</td>\n      <td>0.393333</td>\n      <td>2.141875</td>\n      <td>277</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>1082</th>\n      <td>2022-01-22</td>\n      <td>52.24</td>\n      <td>12472.00</td>\n      <td>24.0</td>\n      <td>0.59</td>\n      <td>8.46</td>\n      <td>24.0</td>\n      <td>4.56</td>\n      <td>24.0</td>\n      <td>822</td>\n      <td>...</td>\n      <td>3.626034e+06</td>\n      <td>4.149625e+07</td>\n      <td>6.512159e+06</td>\n      <td>218349.604167</td>\n      <td>2.603662</td>\n      <td>7.921417</td>\n      <td>55.441542</td>\n      <td>0.690904</td>\n      <td>1.242762</td>\n      <td>21</td>\n    </tr>\n    <tr>\n      <th>1083</th>\n      <td>2022-01-23</td>\n      <td>51.36</td>\n      <td>12051.00</td>\n      <td>24.0</td>\n      <td>0.59</td>\n      <td>8.46</td>\n      <td>24.0</td>\n      <td>4.58</td>\n      <td>24.0</td>\n      <td>790</td>\n      <td>...</td>\n      <td>4.074431e+06</td>\n      <td>4.422277e+07</td>\n      <td>6.203422e+06</td>\n      <td>210121.608333</td>\n      <td>6.638867</td>\n      <td>8.756333</td>\n      <td>54.574333</td>\n      <td>0.810112</td>\n      <td>1.230213</td>\n      <td>22</td>\n    </tr>\n    <tr>\n      <th>1084</th>\n      <td>2022-01-24</td>\n      <td>51.12</td>\n      <td>11276.00</td>\n      <td>24.0</td>\n      <td>0.59</td>\n      <td>8.43</td>\n      <td>24.0</td>\n      <td>4.57</td>\n      <td>24.0</td>\n      <td>751</td>\n      <td>...</td>\n      <td>4.928013e+06</td>\n      <td>4.655727e+07</td>\n      <td>6.101480e+06</td>\n      <td>211378.329167</td>\n      <td>12.277371</td>\n      <td>9.110167</td>\n      <td>53.031042</td>\n      <td>0.973396</td>\n      <td>1.203483</td>\n      <td>23</td>\n    </tr>\n    <tr>\n      <th>1085</th>\n      <td>2022-01-25</td>\n      <td>49.32</td>\n      <td>11007.00</td>\n      <td>24.0</td>\n      <td>0.59</td>\n      <td>8.43</td>\n      <td>24.0</td>\n      <td>4.56</td>\n      <td>24.0</td>\n      <td>672</td>\n      <td>...</td>\n      <td>4.584759e+06</td>\n      <td>7.959093e+07</td>\n      <td>6.326125e+06</td>\n      <td>240801.208333</td>\n      <td>5.684492</td>\n      <td>13.636042</td>\n      <td>42.908458</td>\n      <td>0.807300</td>\n      <td>1.098229</td>\n      <td>24</td>\n    </tr>\n    <tr>\n      <th>1086</th>\n      <td>2022-01-26</td>\n      <td>29.64</td>\n      <td>8132.00</td>\n      <td>24.0</td>\n      <td>0.59</td>\n      <td>8.44</td>\n      <td>24.0</td>\n      <td>4.57</td>\n      <td>24.0</td>\n      <td>484</td>\n      <td>...</td>\n      <td>5.701371e+06</td>\n      <td>9.866431e+07</td>\n      <td>6.632631e+06</td>\n      <td>263197.579167</td>\n      <td>1.672292</td>\n      <td>15.621583</td>\n      <td>36.412917</td>\n      <td>0.904429</td>\n      <td>1.050008</td>\n      <td>25</td>\n    </tr>\n  </tbody>\n</table>\n<p>1087 rows × 165 columns</p>\n</div>"
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "zjxz_emiss_data = pd.read_csv('data/train_data.csv')\n",
    "zjxz_emiss_data"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "outputs": [
    {
     "data": {
      "text/plain": "            days   发电量（千瓦时）   供热量（吉焦）  燃料消耗量（吨）           flow       rNOx  \\\n0     2018-10-01  156796.00   6536.83       323  162345.192917  28.981417   \n1     2018-10-02  133984.00   2484.64       218  140175.330833  22.220750   \n2     2018-10-03  134023.00   3020.83       212  154686.184167  24.816708   \n3     2018-10-04  124765.00   5599.23       223  120345.545833  21.875125   \n4     2018-10-05  134414.00   4702.65       243  162533.103542  25.605917   \n...          ...        ...       ...       ...            ...        ...   \n1082  2022-01-22      52.24  12472.00       822  218349.604167   2.603662   \n1083  2022-01-23      51.36  12051.00       790  210121.608333   6.638867   \n1084  2022-01-24      51.12  11276.00       751  211378.329167  12.277371   \n1085  2022-01-25      49.32  11007.00       672  240801.208333   5.684492   \n1086  2022-01-26      29.64   8132.00       484  263197.579167   1.672292   \n\n            rO2       temp      rSO2    rsmoke  \n0      9.900000  51.250000  5.581667  0.209167  \n1      9.400000  50.679167  4.364167  0.190417  \n2      8.550000  52.808333  7.580000  0.139583  \n3     10.202083  48.854167  2.808958  0.893333  \n4     11.497917  45.783333  0.393333  2.141875  \n...         ...        ...       ...       ...  \n1082   7.921417  55.441542  0.690904  1.242762  \n1083   8.756333  54.574333  0.810112  1.230213  \n1084   9.110167  53.031042  0.973396  1.203483  \n1085  13.636042  42.908458  0.807300  1.098229  \n1086  15.621583  36.412917  0.904429  1.050008  \n\n[1087 rows x 10 columns]",
      "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>days</th>\n      <th>发电量（千瓦时）</th>\n      <th>供热量（吉焦）</th>\n      <th>燃料消耗量（吨）</th>\n      <th>flow</th>\n      <th>rNOx</th>\n      <th>rO2</th>\n      <th>temp</th>\n      <th>rSO2</th>\n      <th>rsmoke</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>2018-10-01</td>\n      <td>156796.00</td>\n      <td>6536.83</td>\n      <td>323</td>\n      <td>162345.192917</td>\n      <td>28.981417</td>\n      <td>9.900000</td>\n      <td>51.250000</td>\n      <td>5.581667</td>\n      <td>0.209167</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2018-10-02</td>\n      <td>133984.00</td>\n      <td>2484.64</td>\n      <td>218</td>\n      <td>140175.330833</td>\n      <td>22.220750</td>\n      <td>9.400000</td>\n      <td>50.679167</td>\n      <td>4.364167</td>\n      <td>0.190417</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>2018-10-03</td>\n      <td>134023.00</td>\n      <td>3020.83</td>\n      <td>212</td>\n      <td>154686.184167</td>\n      <td>24.816708</td>\n      <td>8.550000</td>\n      <td>52.808333</td>\n      <td>7.580000</td>\n      <td>0.139583</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>2018-10-04</td>\n      <td>124765.00</td>\n      <td>5599.23</td>\n      <td>223</td>\n      <td>120345.545833</td>\n      <td>21.875125</td>\n      <td>10.202083</td>\n      <td>48.854167</td>\n      <td>2.808958</td>\n      <td>0.893333</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>2018-10-05</td>\n      <td>134414.00</td>\n      <td>4702.65</td>\n      <td>243</td>\n      <td>162533.103542</td>\n      <td>25.605917</td>\n      <td>11.497917</td>\n      <td>45.783333</td>\n      <td>0.393333</td>\n      <td>2.141875</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>1082</th>\n      <td>2022-01-22</td>\n      <td>52.24</td>\n      <td>12472.00</td>\n      <td>822</td>\n      <td>218349.604167</td>\n      <td>2.603662</td>\n      <td>7.921417</td>\n      <td>55.441542</td>\n      <td>0.690904</td>\n      <td>1.242762</td>\n    </tr>\n    <tr>\n      <th>1083</th>\n      <td>2022-01-23</td>\n      <td>51.36</td>\n      <td>12051.00</td>\n      <td>790</td>\n      <td>210121.608333</td>\n      <td>6.638867</td>\n      <td>8.756333</td>\n      <td>54.574333</td>\n      <td>0.810112</td>\n      <td>1.230213</td>\n    </tr>\n    <tr>\n      <th>1084</th>\n      <td>2022-01-24</td>\n      <td>51.12</td>\n      <td>11276.00</td>\n      <td>751</td>\n      <td>211378.329167</td>\n      <td>12.277371</td>\n      <td>9.110167</td>\n      <td>53.031042</td>\n      <td>0.973396</td>\n      <td>1.203483</td>\n    </tr>\n    <tr>\n      <th>1085</th>\n      <td>2022-01-25</td>\n      <td>49.32</td>\n      <td>11007.00</td>\n      <td>672</td>\n      <td>240801.208333</td>\n      <td>5.684492</td>\n      <td>13.636042</td>\n      <td>42.908458</td>\n      <td>0.807300</td>\n      <td>1.098229</td>\n    </tr>\n    <tr>\n      <th>1086</th>\n      <td>2022-01-26</td>\n      <td>29.64</td>\n      <td>8132.00</td>\n      <td>484</td>\n      <td>263197.579167</td>\n      <td>1.672292</td>\n      <td>15.621583</td>\n      <td>36.412917</td>\n      <td>0.904429</td>\n      <td>1.050008</td>\n    </tr>\n  </tbody>\n</table>\n<p>1087 rows × 10 columns</p>\n</div>"
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "zjxz_save_cols = zjxz_emiss_data.columns[:3].tolist() + ['燃料消耗量（吨）'] + zjxz_emiss_data.columns[-7:-1].tolist()\n",
    "zjxz_save_data = zjxz_emiss_data[zjxz_save_cols].copy()\n",
    "zjxz_save_data"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "outputs": [],
   "source": [
    "for col in ['rNOx', 'rSO2', 'rsmoke']:\n",
    "    zjxz_save_data[col] = zjxz_save_data[col]*101800*273 / (101325 * (273 + zjxz_save_data.temp))"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "outputs": [
    {
     "data": {
      "text/plain": "            days   发电量（千瓦时）   供热量（吉焦）  燃料消耗量（吨）           flow       rNOx  \\\n0     2018-10-01  156796.00   6536.83       323  162345.192917  24.515087   \n1     2018-10-02  133984.00   2484.64       218  140175.330833  18.829456   \n2     2018-10-03  134023.00   3020.83       212  154686.184167  20.891797   \n3     2018-10-04  124765.00   5599.23       223  120345.545833  18.641687   \n4     2018-10-05  134414.00   4702.65       243  162533.103542  22.031219   \n...          ...        ...       ...       ...            ...        ...   \n1082  2022-01-22      52.24  12472.00       822  218349.604167   2.174305   \n1083  2022-01-23      51.36  12051.00       790  210121.608333   5.558760   \n1084  2022-01-24      51.12  11276.00       751  211378.329167  10.328571   \n1085  2022-01-25      49.32  11007.00       672  240801.208333   4.935421   \n1086  2022-01-26      29.64   8132.00       484  263197.579167   1.482407   \n\n            rO2       temp      rSO2    rsmoke  \n0      9.900000  51.250000  4.721475  0.176932  \n1      9.400000  50.679167  3.698115  0.161356  \n2      8.550000  52.808333  6.381178  0.117507  \n3     10.202083  48.854167  2.393757  0.761287  \n4     11.497917  45.783333  0.338422  1.842860  \n...         ...        ...       ...       ...  \n1082   7.921417  55.441542  0.576970  1.037824  \n1083   8.756333  54.574333  0.678312  1.030064  \n1084   9.110167  53.031042  0.818888  1.012453  \n1085  13.636042  42.908458  0.700918  0.953511  \n1086  15.621583  36.412917  0.801733  0.930782  \n\n[1087 rows x 10 columns]",
      "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>days</th>\n      <th>发电量（千瓦时）</th>\n      <th>供热量（吉焦）</th>\n      <th>燃料消耗量（吨）</th>\n      <th>flow</th>\n      <th>rNOx</th>\n      <th>rO2</th>\n      <th>temp</th>\n      <th>rSO2</th>\n      <th>rsmoke</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>2018-10-01</td>\n      <td>156796.00</td>\n      <td>6536.83</td>\n      <td>323</td>\n      <td>162345.192917</td>\n      <td>24.515087</td>\n      <td>9.900000</td>\n      <td>51.250000</td>\n      <td>4.721475</td>\n      <td>0.176932</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2018-10-02</td>\n      <td>133984.00</td>\n      <td>2484.64</td>\n      <td>218</td>\n      <td>140175.330833</td>\n      <td>18.829456</td>\n      <td>9.400000</td>\n      <td>50.679167</td>\n      <td>3.698115</td>\n      <td>0.161356</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>2018-10-03</td>\n      <td>134023.00</td>\n      <td>3020.83</td>\n      <td>212</td>\n      <td>154686.184167</td>\n      <td>20.891797</td>\n      <td>8.550000</td>\n      <td>52.808333</td>\n      <td>6.381178</td>\n      <td>0.117507</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>2018-10-04</td>\n      <td>124765.00</td>\n      <td>5599.23</td>\n      <td>223</td>\n      <td>120345.545833</td>\n      <td>18.641687</td>\n      <td>10.202083</td>\n      <td>48.854167</td>\n      <td>2.393757</td>\n      <td>0.761287</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>2018-10-05</td>\n      <td>134414.00</td>\n      <td>4702.65</td>\n      <td>243</td>\n      <td>162533.103542</td>\n      <td>22.031219</td>\n      <td>11.497917</td>\n      <td>45.783333</td>\n      <td>0.338422</td>\n      <td>1.842860</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>1082</th>\n      <td>2022-01-22</td>\n      <td>52.24</td>\n      <td>12472.00</td>\n      <td>822</td>\n      <td>218349.604167</td>\n      <td>2.174305</td>\n      <td>7.921417</td>\n      <td>55.441542</td>\n      <td>0.576970</td>\n      <td>1.037824</td>\n    </tr>\n    <tr>\n      <th>1083</th>\n      <td>2022-01-23</td>\n      <td>51.36</td>\n      <td>12051.00</td>\n      <td>790</td>\n      <td>210121.608333</td>\n      <td>5.558760</td>\n      <td>8.756333</td>\n      <td>54.574333</td>\n      <td>0.678312</td>\n      <td>1.030064</td>\n    </tr>\n    <tr>\n      <th>1084</th>\n      <td>2022-01-24</td>\n      <td>51.12</td>\n      <td>11276.00</td>\n      <td>751</td>\n      <td>211378.329167</td>\n      <td>10.328571</td>\n      <td>9.110167</td>\n      <td>53.031042</td>\n      <td>0.818888</td>\n      <td>1.012453</td>\n    </tr>\n    <tr>\n      <th>1085</th>\n      <td>2022-01-25</td>\n      <td>49.32</td>\n      <td>11007.00</td>\n      <td>672</td>\n      <td>240801.208333</td>\n      <td>4.935421</td>\n      <td>13.636042</td>\n      <td>42.908458</td>\n      <td>0.700918</td>\n      <td>0.953511</td>\n    </tr>\n    <tr>\n      <th>1086</th>\n      <td>2022-01-26</td>\n      <td>29.64</td>\n      <td>8132.00</td>\n      <td>484</td>\n      <td>263197.579167</td>\n      <td>1.482407</td>\n      <td>15.621583</td>\n      <td>36.412917</td>\n      <td>0.801733</td>\n      <td>0.930782</td>\n    </tr>\n  </tbody>\n</table>\n<p>1087 rows × 10 columns</p>\n</div>"
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "zjxz_save_data"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "outputs": [
    {
     "data": {
      "text/plain": "Index(['企业名称', '地址', '省份', '经度', '纬度', '烟囱高度(m)', '机组数量', '单机容量（MW）', '生产设备类型',\n       '锅炉额定蒸发量 t/h ', '汽轮机类型', '压力参数', '冷却方式', '脱硝工艺', '脱硫工艺', '除尘工艺',\n       'Unnamed: 16', '日期', '机组编号', '投产日期', '燃煤干燥无灰基挥发分vda（%）',\n       '入炉煤低位发热量（GJ/t）', '入炉煤消耗量发电（吨）', '入炉煤消耗量供热（吨）', '脱硝还原剂使用量a侧（吨）',\n       '脱硝还原剂使用量b侧（吨）', '脱硝设施运行时间a侧（小时）', '脱硝设施运行时间b侧（小时）', '发电量', '供热量(吉焦)',\n       '机组运行时间', '硫分（%）', '脱硫副产品产量（吨）', '脱硫剂使用量（吨）', '脱硫设施运行时间（小时）',\n       '脱硝还原剂消耗量（吨）', '燃料消耗量（吨）', '石灰石总量（吨）', 'Unnamed: 38', 'Unnamed: 39',\n       '日期.1', '机组编号.1', '投产日期.1', '燃煤干燥无灰基挥发分vda（%）.1', '入炉煤低位发热量（GJ/t）.1',\n       '入炉煤消耗量发电（吨）.1', '入炉煤消耗量供热（吨）.1', '脱硝还原剂使用量a侧（吨）.1', '脱硝还原剂使用量b侧（吨）.1',\n       '脱硝设施运行时间a侧（小时）.1', '脱硝设施运行时间b侧（小时）.1', '发电量（万千瓦时）', '供热量（吉焦）',\n       '机组运行时间（小时）', '硫分（%）.1', '脱硫副产品产量（吨）.1', '脱硫剂使用量（吨）.1',\n       '脱硫设施运行时间（小时）.1', '脱硝还原剂消耗量（吨）.1', '燃料消耗量（吨）.1', '石灰石总量（吨）.1'],\n      dtype='object')"
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "xswx_daily = pd.read_excel('./data/机器学习样表.xlsx', sheet_name=3)\n",
    "xswx_daily.columns"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "outputs": [
    {
     "data": {
      "text/plain": "          days  发电量_2（万千瓦时）  供热量_2（吉焦）  燃料消耗量_2（吨）\n149 2021-05-30         1033        0.0      4763.4\n150 2021-05-31          909        0.0      4516.5",
      "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>days</th>\n      <th>发电量_2（万千瓦时）</th>\n      <th>供热量_2（吉焦）</th>\n      <th>燃料消耗量_2（吨）</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>149</th>\n      <td>2021-05-30</td>\n      <td>1033</td>\n      <td>0.0</td>\n      <td>4763.4</td>\n    </tr>\n    <tr>\n      <th>150</th>\n      <td>2021-05-31</td>\n      <td>909</td>\n      <td>0.0</td>\n      <td>4516.5</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "xswx_daily_unit_1 = xswx_daily[xswx_daily['日期'] >= '2021-01-01'][['日期', '发电量', '供热量(吉焦)', '燃料消耗量（吨）']].copy()\n",
    "xswx_daily_unit_1.columns = ['days', \"发电量_1（万千瓦时）\", '供热量_1（吉焦）', '燃料消耗量_1（吨）']\n",
    "xswx_daily_unit_2 = xswx_daily[xswx_daily['日期.1'] >= '2021-01-01'][\n",
    "    ['日期.1', '发电量（万千瓦时）', '供热量（吉焦）', '燃料消耗量（吨）.1']].copy()\n",
    "xswx_daily_unit_2.columns = ['days', \"发电量_2（万千瓦时）\", '供热量_2（吉焦）', '燃料消耗量_2（吨）']\n",
    "xswx_daily_unit_2.tail(2)"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "outputs": [
    {
     "data": {
      "text/plain": "DatetimeIndex(['2021-01-01', '2021-01-02', '2021-01-03', '2021-01-04',\n               '2021-01-05', '2021-01-06', '2021-01-07', '2021-01-08',\n               '2021-01-09', '2021-01-10',\n               ...\n               '2021-05-22', '2021-05-23', '2021-05-24', '2021-05-25',\n               '2021-05-26', '2021-05-27', '2021-05-28', '2021-05-29',\n               '2021-05-30', '2021-05-31'],\n              dtype='datetime64[ns]', length=151, freq='D')"
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "min_start = min(xswx_daily_unit_1.days.min(), xswx_daily_unit_2.days.min())\n",
    "max_end = max(xswx_daily_unit_1.days.max(), xswx_daily_unit_2.days.max())\n",
    "date_range = pd.date_range(min_start, max_end, freq='D')\n",
    "date_range"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "outputs": [],
   "source": [
    "xswx_daily_unit_1 = xswx_daily_unit_1.set_index('days').reindex(date_range).fillna(0)\n",
    "xswx_daily_unit_2 = xswx_daily_unit_2.set_index('days').reindex(date_range).fillna(0)"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "outputs": [],
   "source": [
    "xswx_daily_data = pd.concat([xswx_daily_unit_1, xswx_daily_unit_2], axis=1)"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "outputs": [],
   "source": [
    "xswx_daily_data['企业名称'] = '武乡西山发电有限责任公司'\n",
    "xswx_daily_data['发电量（万千瓦时）'] = xswx_daily_data['发电量_1（万千瓦时）'] + xswx_daily_data['发电量_2（万千瓦时）']\n",
    "xswx_daily_data['供热量（吉焦）'] = xswx_daily_data['供热量_1（吉焦）'] + xswx_daily_data['供热量_2（吉焦）']\n",
    "xswx_daily_data['燃料消耗量（吨）'] = xswx_daily_data['燃料消耗量_1（吨）'] + xswx_daily_data['燃料消耗量_2（吨）']"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "outputs": [
    {
     "data": {
      "text/plain": "            发电量_1（万千瓦时）  供热量_1（吉焦）  燃料消耗量_1（吨）  发电量_2（万千瓦时）  供热量_2（吉焦）  \\\n2021-01-01        952.0    11032.5      5478.8          893        0.0   \n2021-01-02       1127.0    11180.5      6125.4         1061        0.0   \n2021-01-03       1051.0    11197.7      5717.6         1053        0.0   \n2021-01-04       1179.0    11146.6      6172.5         1237        0.0   \n2021-01-05       1142.0    10922.4      6053.3         1082        0.0   \n...                 ...        ...         ...          ...        ...   \n2021-05-27          0.0        0.0         0.0         1192        0.0   \n2021-05-28          0.0        0.0         0.0         1159        0.0   \n2021-05-29          0.0        0.0         0.0          998        0.0   \n2021-05-30          0.0        0.0         0.0         1033        0.0   \n2021-05-31          0.0        0.0         0.0          909        0.0   \n\n            燃料消耗量_2（吨）          企业名称  发电量（万千瓦时）  供热量（吉焦）  燃料消耗量（吨）  \n2021-01-01      4689.7  武乡西山发电有限责任公司     1845.0  11032.5   10168.5  \n2021-01-02      5455.5  武乡西山发电有限责任公司     2188.0  11180.5   11580.9  \n2021-01-03      4060.5  武乡西山发电有限责任公司     2104.0  11197.7    9778.1  \n2021-01-04      5574.7  武乡西山发电有限责任公司     2416.0  11146.6   11747.2  \n2021-01-05      6363.9  武乡西山发电有限责任公司     2224.0  10922.4   12417.2  \n...                ...           ...        ...      ...       ...  \n2021-05-27      5684.3  武乡西山发电有限责任公司     1192.0      0.0    5684.3  \n2021-05-28      5349.3  武乡西山发电有限责任公司     1159.0      0.0    5349.3  \n2021-05-29      4851.2  武乡西山发电有限责任公司      998.0      0.0    4851.2  \n2021-05-30      4763.4  武乡西山发电有限责任公司     1033.0      0.0    4763.4  \n2021-05-31      4516.5  武乡西山发电有限责任公司      909.0      0.0    4516.5  \n\n[151 rows x 10 columns]",
      "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>发电量_1（万千瓦时）</th>\n      <th>供热量_1（吉焦）</th>\n      <th>燃料消耗量_1（吨）</th>\n      <th>发电量_2（万千瓦时）</th>\n      <th>供热量_2（吉焦）</th>\n      <th>燃料消耗量_2（吨）</th>\n      <th>企业名称</th>\n      <th>发电量（万千瓦时）</th>\n      <th>供热量（吉焦）</th>\n      <th>燃料消耗量（吨）</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>2021-01-01</th>\n      <td>952.0</td>\n      <td>11032.5</td>\n      <td>5478.8</td>\n      <td>893</td>\n      <td>0.0</td>\n      <td>4689.7</td>\n      <td>武乡西山发电有限责任公司</td>\n      <td>1845.0</td>\n      <td>11032.5</td>\n      <td>10168.5</td>\n    </tr>\n    <tr>\n      <th>2021-01-02</th>\n      <td>1127.0</td>\n      <td>11180.5</td>\n      <td>6125.4</td>\n      <td>1061</td>\n      <td>0.0</td>\n      <td>5455.5</td>\n      <td>武乡西山发电有限责任公司</td>\n      <td>2188.0</td>\n      <td>11180.5</td>\n      <td>11580.9</td>\n    </tr>\n    <tr>\n      <th>2021-01-03</th>\n      <td>1051.0</td>\n      <td>11197.7</td>\n      <td>5717.6</td>\n      <td>1053</td>\n      <td>0.0</td>\n      <td>4060.5</td>\n      <td>武乡西山发电有限责任公司</td>\n      <td>2104.0</td>\n      <td>11197.7</td>\n      <td>9778.1</td>\n    </tr>\n    <tr>\n      <th>2021-01-04</th>\n      <td>1179.0</td>\n      <td>11146.6</td>\n      <td>6172.5</td>\n      <td>1237</td>\n      <td>0.0</td>\n      <td>5574.7</td>\n      <td>武乡西山发电有限责任公司</td>\n      <td>2416.0</td>\n      <td>11146.6</td>\n      <td>11747.2</td>\n    </tr>\n    <tr>\n      <th>2021-01-05</th>\n      <td>1142.0</td>\n      <td>10922.4</td>\n      <td>6053.3</td>\n      <td>1082</td>\n      <td>0.0</td>\n      <td>6363.9</td>\n      <td>武乡西山发电有限责任公司</td>\n      <td>2224.0</td>\n      <td>10922.4</td>\n      <td>12417.2</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    </tr>\n    <tr>\n      <th>2021-05-27</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1192</td>\n      <td>0.0</td>\n      <td>5684.3</td>\n      <td>武乡西山发电有限责任公司</td>\n      <td>1192.0</td>\n      <td>0.0</td>\n      <td>5684.3</td>\n    </tr>\n    <tr>\n      <th>2021-05-28</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1159</td>\n      <td>0.0</td>\n      <td>5349.3</td>\n      <td>武乡西山发电有限责任公司</td>\n      <td>1159.0</td>\n      <td>0.0</td>\n      <td>5349.3</td>\n    </tr>\n    <tr>\n      <th>2021-05-29</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>998</td>\n      <td>0.0</td>\n      <td>4851.2</td>\n      <td>武乡西山发电有限责任公司</td>\n      <td>998.0</td>\n      <td>0.0</td>\n      <td>4851.2</td>\n    </tr>\n    <tr>\n      <th>2021-05-30</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>1033</td>\n      <td>0.0</td>\n      <td>4763.4</td>\n      <td>武乡西山发电有限责任公司</td>\n      <td>1033.0</td>\n      <td>0.0</td>\n      <td>4763.4</td>\n    </tr>\n    <tr>\n      <th>2021-05-31</th>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>0.0</td>\n      <td>909</td>\n      <td>0.0</td>\n      <td>4516.5</td>\n      <td>武乡西山发电有限责任公司</td>\n      <td>909.0</td>\n      <td>0.0</td>\n      <td>4516.5</td>\n    </tr>\n  </tbody>\n</table>\n<p>151 rows × 10 columns</p>\n</div>"
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "xswx_daily_data"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "outputs": [
    {
     "data": {
      "text/plain": "    Unnamed: 0    Unnamed: 1     监控点名称  二氧化硫浓度(mg/m3)  氮氧化物浓度(mg/m3)  \\\n0     2021.1.1  武乡西山发电有限责任公司  1号炉废气排放口          20.15          31.49   \n1     2021.1.2  武乡西山发电有限责任公司  1号炉废气排放口          20.27          31.65   \n2     2021.1.3  武乡西山发电有限责任公司  1号炉废气排放口          19.72          31.68   \n3     2021.1.4  武乡西山发电有限责任公司  1号炉废气排放口          17.64          31.51   \n4     2021.1.5  武乡西山发电有限责任公司  1号炉废气排放口          18.66          31.72   \n..         ...           ...       ...            ...            ...   \n113  2021.4.26  武乡西山发电有限责任公司  1号炉废气排放口           0.22           0.01   \n114  2021.4.27  武乡西山发电有限责任公司  1号炉废气排放口           0.00           0.01   \n115  2021.4.28  武乡西山发电有限责任公司  1号炉废气排放口           0.01           0.00   \n116  2021.4.29  武乡西山发电有限责任公司  1号炉废气排放口           0.00           0.01   \n117  2021.4.30  武乡西山发电有限责任公司  1号炉废气排放口           0.00           0.02   \n\n     烟尘浓度(mg/m3)  流速(m/s)    流量(m3/h)  Unnamed: 8  Unnamed: 9  ...  \\\n0           2.49    11.24  1558502.96         NaN         NaN  ...   \n1           2.51    12.03  1648629.50         NaN         NaN  ...   \n2           2.50    12.11  1656682.63         NaN         NaN  ...   \n3           2.52    11.79  1610496.46         NaN         NaN  ...   \n4           2.50    11.97  1652330.08         NaN         NaN  ...   \n..           ...      ...         ...         ...         ...  ...   \n113         0.19     0.00        0.00         NaN         NaN  ...   \n114         0.21     0.00        0.00         NaN         NaN  ...   \n115         0.25     0.00        0.00         NaN         NaN  ...   \n116         0.26     0.00        0.00         NaN         NaN  ...   \n117         0.56     0.00        0.00         NaN         NaN  ...   \n\n      Unnamed: 14   监控点名称.1  二氧化硫浓度(mg/m3).1 氮氧化物浓度(mg/m3).1 烟尘浓度(mg/m3).1  \\\n0    武乡西山发电有限责任公司  2号炉废气排放口            22.00           33.09          2.25   \n1    武乡西山发电有限责任公司  2号炉废气排放口            20.45           34.37          2.37   \n2    武乡西山发电有限责任公司  2号炉废气排放口            19.82           33.55          2.38   \n3    武乡西山发电有限责任公司  2号炉废气排放口            20.18           32.47          2.39   \n4    武乡西山发电有限责任公司  2号炉废气排放口            21.07           33.73          2.42   \n..            ...       ...              ...             ...           ...   \n113  武乡西山发电有限责任公司  2号炉废气排放口            18.31           35.41          2.03   \n114  武乡西山发电有限责任公司  2号炉废气排放口             0.14            0.43          0.08   \n115  武乡西山发电有限责任公司  2号炉废气排放口             0.00            0.01          0.09   \n116  武乡西山发电有限责任公司  2号炉废气排放口             0.01            0.05          0.07   \n117  武乡西山发电有限责任公司  2号炉废气排放口             3.96           22.90          0.68   \n\n    流速(m/s).1  流量(m3/h).1  Unnamed: 21  Unnamed: 22  状态.1  \n0        5.00   731609.00          NaN          NaN  正常运行  \n1        9.18  1326387.42          NaN          NaN  正常运行  \n2        9.85  1417186.13          NaN          NaN  正常运行  \n3        9.07  1304455.88          NaN          NaN  正常运行  \n4        9.71  1390566.88          NaN          NaN  正常运行  \n..        ...         ...          ...          ...   ...  \n113      9.59  1316204.83          NaN          NaN  正常运行  \n114      1.44   193474.61          NaN          NaN    停运  \n115      2.69   467356.96          NaN          NaN    停运  \n116      2.30   401366.08          NaN          NaN    停运  \n117      6.09   932694.63          NaN          NaN    停运  \n\n[118 rows x 24 columns]",
      "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>Unnamed: 1</th>\n      <th>监控点名称</th>\n      <th>二氧化硫浓度(mg/m3)</th>\n      <th>氮氧化物浓度(mg/m3)</th>\n      <th>烟尘浓度(mg/m3)</th>\n      <th>流速(m/s)</th>\n      <th>流量(m3/h)</th>\n      <th>Unnamed: 8</th>\n      <th>Unnamed: 9</th>\n      <th>...</th>\n      <th>Unnamed: 14</th>\n      <th>监控点名称.1</th>\n      <th>二氧化硫浓度(mg/m3).1</th>\n      <th>氮氧化物浓度(mg/m3).1</th>\n      <th>烟尘浓度(mg/m3).1</th>\n      <th>流速(m/s).1</th>\n      <th>流量(m3/h).1</th>\n      <th>Unnamed: 21</th>\n      <th>Unnamed: 22</th>\n      <th>状态.1</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>2021.1.1</td>\n      <td>武乡西山发电有限责任公司</td>\n      <td>1号炉废气排放口</td>\n      <td>20.15</td>\n      <td>31.49</td>\n      <td>2.49</td>\n      <td>11.24</td>\n      <td>1558502.96</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>...</td>\n      <td>武乡西山发电有限责任公司</td>\n      <td>2号炉废气排放口</td>\n      <td>22.00</td>\n      <td>33.09</td>\n      <td>2.25</td>\n      <td>5.00</td>\n      <td>731609.00</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2021.1.2</td>\n      <td>武乡西山发电有限责任公司</td>\n      <td>1号炉废气排放口</td>\n      <td>20.27</td>\n      <td>31.65</td>\n      <td>2.51</td>\n      <td>12.03</td>\n      <td>1648629.50</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>...</td>\n      <td>武乡西山发电有限责任公司</td>\n      <td>2号炉废气排放口</td>\n      <td>20.45</td>\n      <td>34.37</td>\n      <td>2.37</td>\n      <td>9.18</td>\n      <td>1326387.42</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>2021.1.3</td>\n      <td>武乡西山发电有限责任公司</td>\n      <td>1号炉废气排放口</td>\n      <td>19.72</td>\n      <td>31.68</td>\n      <td>2.50</td>\n      <td>12.11</td>\n      <td>1656682.63</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>...</td>\n      <td>武乡西山发电有限责任公司</td>\n      <td>2号炉废气排放口</td>\n      <td>19.82</td>\n      <td>33.55</td>\n      <td>2.38</td>\n      <td>9.85</td>\n      <td>1417186.13</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>2021.1.4</td>\n      <td>武乡西山发电有限责任公司</td>\n      <td>1号炉废气排放口</td>\n      <td>17.64</td>\n      <td>31.51</td>\n      <td>2.52</td>\n      <td>11.79</td>\n      <td>1610496.46</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>...</td>\n      <td>武乡西山发电有限责任公司</td>\n      <td>2号炉废气排放口</td>\n      <td>20.18</td>\n      <td>32.47</td>\n      <td>2.39</td>\n      <td>9.07</td>\n      <td>1304455.88</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>2021.1.5</td>\n      <td>武乡西山发电有限责任公司</td>\n      <td>1号炉废气排放口</td>\n      <td>18.66</td>\n      <td>31.72</td>\n      <td>2.50</td>\n      <td>11.97</td>\n      <td>1652330.08</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>...</td>\n      <td>武乡西山发电有限责任公司</td>\n      <td>2号炉废气排放口</td>\n      <td>21.07</td>\n      <td>33.73</td>\n      <td>2.42</td>\n      <td>9.71</td>\n      <td>1390566.88</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>正常运行</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>113</th>\n      <td>2021.4.26</td>\n      <td>武乡西山发电有限责任公司</td>\n      <td>1号炉废气排放口</td>\n      <td>0.22</td>\n      <td>0.01</td>\n      <td>0.19</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>...</td>\n      <td>武乡西山发电有限责任公司</td>\n      <td>2号炉废气排放口</td>\n      <td>18.31</td>\n      <td>35.41</td>\n      <td>2.03</td>\n      <td>9.59</td>\n      <td>1316204.83</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>114</th>\n      <td>2021.4.27</td>\n      <td>武乡西山发电有限责任公司</td>\n      <td>1号炉废气排放口</td>\n      <td>0.00</td>\n      <td>0.01</td>\n      <td>0.21</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>...</td>\n      <td>武乡西山发电有限责任公司</td>\n      <td>2号炉废气排放口</td>\n      <td>0.14</td>\n      <td>0.43</td>\n      <td>0.08</td>\n      <td>1.44</td>\n      <td>193474.61</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>停运</td>\n    </tr>\n    <tr>\n      <th>115</th>\n      <td>2021.4.28</td>\n      <td>武乡西山发电有限责任公司</td>\n      <td>1号炉废气排放口</td>\n      <td>0.01</td>\n      <td>0.00</td>\n      <td>0.25</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>...</td>\n      <td>武乡西山发电有限责任公司</td>\n      <td>2号炉废气排放口</td>\n      <td>0.00</td>\n      <td>0.01</td>\n      <td>0.09</td>\n      <td>2.69</td>\n      <td>467356.96</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>停运</td>\n    </tr>\n    <tr>\n      <th>116</th>\n      <td>2021.4.29</td>\n      <td>武乡西山发电有限责任公司</td>\n      <td>1号炉废气排放口</td>\n      <td>0.00</td>\n      <td>0.01</td>\n      <td>0.26</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>...</td>\n      <td>武乡西山发电有限责任公司</td>\n      <td>2号炉废气排放口</td>\n      <td>0.01</td>\n      <td>0.05</td>\n      <td>0.07</td>\n      <td>2.30</td>\n      <td>401366.08</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>停运</td>\n    </tr>\n    <tr>\n      <th>117</th>\n      <td>2021.4.30</td>\n      <td>武乡西山发电有限责任公司</td>\n      <td>1号炉废气排放口</td>\n      <td>0.00</td>\n      <td>0.02</td>\n      <td>0.56</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>...</td>\n      <td>武乡西山发电有限责任公司</td>\n      <td>2号炉废气排放口</td>\n      <td>3.96</td>\n      <td>22.90</td>\n      <td>0.68</td>\n      <td>6.09</td>\n      <td>932694.63</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>停运</td>\n    </tr>\n  </tbody>\n</table>\n<p>118 rows × 24 columns</p>\n</div>"
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "xswx_emiss_data = pd.read_excel('data/机器学习样表_单位换算.xlsx', sheet_name=2)\n",
    "xswx_emiss_data"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "outputs": [
    {
     "data": {
      "text/plain": "    Unnamed: 0  二氧化硫浓度(mg/m3)  氮氧化物浓度(mg/m3)  烟尘浓度(mg/m3)  流速(m/s)  \\\n0     2021.1.1          20.15          31.49         2.49    11.24   \n1     2021.1.2          20.27          31.65         2.51    12.03   \n2     2021.1.3          19.72          31.68         2.50    12.11   \n3     2021.1.4          17.64          31.51         2.52    11.79   \n4     2021.1.5          18.66          31.72         2.50    11.97   \n..         ...            ...            ...          ...      ...   \n113  2021.4.26           0.22           0.01         0.19     0.00   \n114  2021.4.27           0.00           0.01         0.21     0.00   \n115  2021.4.28           0.01           0.00         0.25     0.00   \n116  2021.4.29           0.00           0.01         0.26     0.00   \n117  2021.4.30           0.00           0.02         0.56     0.00   \n\n       流量(m3/h)    状态  \n0    1558502.96  正常运行  \n1    1648629.50  正常运行  \n2    1656682.63  正常运行  \n3    1610496.46  正常运行  \n4    1652330.08  正常运行  \n..          ...   ...  \n113        0.00    停运  \n114        0.00    停运  \n115        0.00    停运  \n116        0.00    停运  \n117        0.00    停运  \n\n[118 rows x 7 columns]",
      "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>二氧化硫浓度(mg/m3)</th>\n      <th>氮氧化物浓度(mg/m3)</th>\n      <th>烟尘浓度(mg/m3)</th>\n      <th>流速(m/s)</th>\n      <th>流量(m3/h)</th>\n      <th>状态</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>2021.1.1</td>\n      <td>20.15</td>\n      <td>31.49</td>\n      <td>2.49</td>\n      <td>11.24</td>\n      <td>1558502.96</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2021.1.2</td>\n      <td>20.27</td>\n      <td>31.65</td>\n      <td>2.51</td>\n      <td>12.03</td>\n      <td>1648629.50</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>2021.1.3</td>\n      <td>19.72</td>\n      <td>31.68</td>\n      <td>2.50</td>\n      <td>12.11</td>\n      <td>1656682.63</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>2021.1.4</td>\n      <td>17.64</td>\n      <td>31.51</td>\n      <td>2.52</td>\n      <td>11.79</td>\n      <td>1610496.46</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>2021.1.5</td>\n      <td>18.66</td>\n      <td>31.72</td>\n      <td>2.50</td>\n      <td>11.97</td>\n      <td>1652330.08</td>\n      <td>正常运行</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    </tr>\n    <tr>\n      <th>113</th>\n      <td>2021.4.26</td>\n      <td>0.22</td>\n      <td>0.01</td>\n      <td>0.19</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>停运</td>\n    </tr>\n    <tr>\n      <th>114</th>\n      <td>2021.4.27</td>\n      <td>0.00</td>\n      <td>0.01</td>\n      <td>0.21</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>停运</td>\n    </tr>\n    <tr>\n      <th>115</th>\n      <td>2021.4.28</td>\n      <td>0.01</td>\n      <td>0.00</td>\n      <td>0.25</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>停运</td>\n    </tr>\n    <tr>\n      <th>116</th>\n      <td>2021.4.29</td>\n      <td>0.00</td>\n      <td>0.01</td>\n      <td>0.26</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>停运</td>\n    </tr>\n    <tr>\n      <th>117</th>\n      <td>2021.4.30</td>\n      <td>0.00</td>\n      <td>0.02</td>\n      <td>0.56</td>\n      <td>0.00</td>\n      <td>0.00</td>\n      <td>停运</td>\n    </tr>\n  </tbody>\n</table>\n<p>118 rows × 7 columns</p>\n</div>"
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "xswx_emiss_data_1 = xswx_emiss_data[np.array(xswx_emiss_data.columns)[[0, 3, 4, 5, 6, 7, 10]]].copy()\n",
    "xswx_emiss_data_2 = xswx_emiss_data[np.array(xswx_emiss_data.columns)[[13, 16, 17, 18, 19, 20, 23]]].copy()\n",
    "xswx_emiss_data_1"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "outputs": [],
   "source": [
    "xswx_emiss_data_1.columns = ['days'] + xswx_emiss_data_1.columns[1:].tolist()\n",
    "xswx_emiss_data_2.columns = xswx_emiss_data_1.columns.tolist()"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "outputs": [],
   "source": [
    "xswx_emiss_data_1.index = pd.to_datetime(xswx_emiss_data_1.days)"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "outputs": [],
   "source": [
    "xswx_emiss_data_2.index = pd.to_datetime(xswx_emiss_data_2.days)"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "outputs": [],
   "source": [
    "xswx_emiss_data_1.drop(columns=['days'], inplace=True)\n",
    "xswx_emiss_data_2.drop(columns=['days'], inplace=True)"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "outputs": [],
   "source": [
    "xswx_emiss_data_1.columns = [f'机组1_{x}' for x in xswx_emiss_data_1.columns]\n",
    "xswx_emiss_data_2.columns = [f'机组2_{x}' for x in xswx_emiss_data_2.columns]"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "outputs": [
    {
     "data": {
      "text/plain": "2021-01-01    1\n2021-03-17    1\n2021-03-29    1\n2021-03-28    1\n2021-03-27    1\n             ..\n2021-02-05    1\n2021-02-04    1\n2021-02-03    1\n2021-02-02    1\n2021-04-30    1\nName: days, Length: 118, dtype: int64"
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "xswx_emiss_data_1.reset_index().days.value_counts()"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "outputs": [],
   "source": [
    "wxxs_save_data = pd.concat([xswx_daily_data, xswx_emiss_data_1, xswx_emiss_data_2], axis=1)\n",
    "wxxs_save_data.index = wxxs_save_data.index.astype(str)"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "### 邯郸东郊"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%% md\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "outputs": [
    {
     "data": {
      "text/plain": "Index(['企业名称', '地址', '省份', '经度', '纬度', '机组数量', '单机容量（MW）', '生产设备类型',\n       '锅炉额定蒸发量 t/h ', '汽轮机类型', '压力参数', '冷却方式', '脱硝工艺', '脱硫工艺', '除尘工艺', '日期',\n       '机组编号', '投产日期', '燃料类型', '低位发热量（GJ/t）', '产灰量（吨）', '发电量（万千瓦时）', '供热量',\n       '产渣量', '机组运行时间', '发电煤耗（克/千瓦时）', '燃料消耗量（吨）', 'Unnamed: 27', '日期.1',\n       '机组编号.1', '投产日期.1', '燃料类型.1', '低位发热量（GJ/t）.1', '产灰量（吨）.1',\n       '发电量（万千瓦时）.1', '供热量.1', '产渣量.1', '机组运行时间.1', '发电煤耗（克/千瓦时）.1',\n       '燃料消耗量（吨）.1'],\n      dtype='object')"
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hddj_daily = pd.read_excel('data/机器学习样表_单位换算.xlsx', sheet_name=5)\n",
    "hddj_daily.columns"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "outputs": [],
   "source": [
    "hddj_daily_1 = hddj_daily[['日期', '发电量（万千瓦时）', '供热量', '燃料消耗量（吨）']].copy()\n",
    "hddj_daily_1.columns = ['days', \"发电量_1（万千瓦时）\", '供热量_1（吉焦）', '燃料消耗量_1（吨）']\n",
    "hddj_daily_2 = hddj_daily[['日期.1', '发电量（万千瓦时）.1', '供热量.1', '燃料消耗量（吨）.1']].copy()\n",
    "hddj_daily_2.columns = ['days', \"发电量_2（万千瓦时）\", '供热量_2（吉焦）', '燃料消耗量_2（吨）']"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "outputs": [
    {
     "data": {
      "text/plain": "DatetimeIndex(['2022-01-01', '2022-01-02', '2022-01-03', '2022-01-04',\n               '2022-01-05', '2022-01-06', '2022-01-07', '2022-01-08',\n               '2022-01-09', '2022-01-10', '2022-01-11', '2022-01-12',\n               '2022-01-13', '2022-01-14', '2022-01-15', '2022-01-16',\n               '2022-01-17', '2022-01-18', '2022-01-19', '2022-01-20',\n               '2022-01-21', '2022-01-22', '2022-01-23', '2022-01-24',\n               '2022-01-25', '2022-01-26', '2022-01-27', '2022-01-28',\n               '2022-01-29', '2022-01-30', '2022-01-31', '2022-02-01',\n               '2022-02-02', '2022-02-03', '2022-02-04', '2022-02-05',\n               '2022-02-06', '2022-02-07', '2022-02-08', '2022-02-09',\n               '2022-02-10', '2022-02-11', '2022-02-12', '2022-02-13',\n               '2022-02-14', '2022-02-15', '2022-02-16', '2022-02-17',\n               '2022-02-18', '2022-02-19', '2022-02-20', '2022-02-21',\n               '2022-02-22', '2022-02-23', '2022-02-24', '2022-02-25',\n               '2022-02-26', '2022-02-27', '2022-02-28'],\n              dtype='datetime64[ns]', freq='D')"
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "min_start = min(hddj_daily_1.days.min(), hddj_daily_2.days.min())\n",
    "max_end = max(hddj_daily_1.days.max(), hddj_daily_2.days.max())\n",
    "date_range = pd.date_range(min_start, max_end, freq='D')\n",
    "date_range"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "outputs": [],
   "source": [
    "hddj_daily_1 = hddj_daily_1.set_index('days').reindex(date_range).fillna(0)\n",
    "hddj_daily_2 = hddj_daily_2.set_index('days').reindex(date_range).fillna(0)"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "outputs": [
    {
     "data": {
      "text/plain": "            发电量_1（万千瓦时）  供热量_1（吉焦）  燃料消耗量_1（吨）\n2022-01-01       494.20      30829        2861\n2022-01-02       554.30      32122        2536\n2022-01-03       558.30      33451        2911\n2022-01-04       529.70      33179        3023\n2022-01-05       563.90      29731        3191\n2022-01-06       561.00      32505        3357\n2022-01-07       570.00      33189        3231\n2022-01-08       526.80      31881        2765\n2022-01-09       517.10      30799        2574\n2022-01-10       512.80      29277        2512\n2022-01-11       521.20      32460        2757\n2022-01-12       543.32      33593        3132\n2022-01-13       512.52      33326        2950\n2022-01-14       495.42      31417        2755\n2022-01-15       500.06      32434        2834\n2022-01-16       527.93      31986        3182\n2022-01-17       496.50      32268        3121\n2022-01-18       529.31      31814        3241\n2022-01-19       552.01      30414        3274\n2022-01-20       544.00      32416        3594\n2022-01-21       561.29      34300        3891\n2022-01-22       574.00      38342        4276\n2022-01-23       534.94      37444        3767\n2022-01-24       543.91      34539        3175\n2022-01-25       538.31      36753        3860\n2022-01-26       529.59      34148        3749\n2022-01-27       525.88      33630        3725\n2022-01-28       545.06      34181        3866\n2022-01-29       522.68      30637        3395\n2022-01-30       509.69      34254        3101\n2022-01-31       516.51      32145        2985\n2022-02-01       500.46      25687        2662\n2022-02-02       477.03      29061        2821\n2022-02-03       439.93      29598        2779\n2022-02-04       452.76      28709        2523\n2022-02-05       508.35      30133        2884\n2022-02-06       485.41      27635        2902\n2022-02-07       469.75      28259        2939\n2022-02-08       452.87      26685        2556\n2022-02-09       470.87      26037        2691\n2022-02-10       490.75      25530        2901\n2022-02-11       467.50      24359        2790\n2022-02-12       446.31      24180        2766\n2022-02-13       466.12      25274        3054\n2022-02-14       464.96      29338        2533\n2022-02-15       466.40      27394        2611\n2022-02-16       493.26      27639        2905\n2022-02-17       495.53      30228        2894\n2022-02-18       524.59      28126        3030\n2022-02-19       466.49      27575        2470\n2022-02-20       503.46      27424        2799\n2022-02-21       521.02      26965        3098\n2022-02-22       528.08      26886        3317\n2022-02-23       533.95      25022        3174\n2022-02-24       505.76      26727        3079\n2022-02-25       445.43      21930        2580\n2022-02-26       491.01      16645        2733\n2022-02-27       465.33      17884        2862\n2022-02-28       487.21      15457        3029",
      "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>发电量_1（万千瓦时）</th>\n      <th>供热量_1（吉焦）</th>\n      <th>燃料消耗量_1（吨）</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>2022-01-01</th>\n      <td>494.20</td>\n      <td>30829</td>\n      <td>2861</td>\n    </tr>\n    <tr>\n      <th>2022-01-02</th>\n      <td>554.30</td>\n      <td>32122</td>\n      <td>2536</td>\n    </tr>\n    <tr>\n      <th>2022-01-03</th>\n      <td>558.30</td>\n      <td>33451</td>\n      <td>2911</td>\n    </tr>\n    <tr>\n      <th>2022-01-04</th>\n      <td>529.70</td>\n      <td>33179</td>\n      <td>3023</td>\n    </tr>\n    <tr>\n      <th>2022-01-05</th>\n      <td>563.90</td>\n      <td>29731</td>\n      <td>3191</td>\n    </tr>\n    <tr>\n      <th>2022-01-06</th>\n      <td>561.00</td>\n      <td>32505</td>\n      <td>3357</td>\n    </tr>\n    <tr>\n      <th>2022-01-07</th>\n      <td>570.00</td>\n      <td>33189</td>\n      <td>3231</td>\n    </tr>\n    <tr>\n      <th>2022-01-08</th>\n      <td>526.80</td>\n      <td>31881</td>\n      <td>2765</td>\n    </tr>\n    <tr>\n      <th>2022-01-09</th>\n      <td>517.10</td>\n      <td>30799</td>\n      <td>2574</td>\n    </tr>\n    <tr>\n      <th>2022-01-10</th>\n      <td>512.80</td>\n      <td>29277</td>\n      <td>2512</td>\n    </tr>\n    <tr>\n      <th>2022-01-11</th>\n      <td>521.20</td>\n      <td>32460</td>\n      <td>2757</td>\n    </tr>\n    <tr>\n      <th>2022-01-12</th>\n      <td>543.32</td>\n      <td>33593</td>\n      <td>3132</td>\n    </tr>\n    <tr>\n      <th>2022-01-13</th>\n      <td>512.52</td>\n      <td>33326</td>\n      <td>2950</td>\n    </tr>\n    <tr>\n      <th>2022-01-14</th>\n      <td>495.42</td>\n      <td>31417</td>\n      <td>2755</td>\n    </tr>\n    <tr>\n      <th>2022-01-15</th>\n      <td>500.06</td>\n      <td>32434</td>\n      <td>2834</td>\n    </tr>\n    <tr>\n      <th>2022-01-16</th>\n      <td>527.93</td>\n      <td>31986</td>\n      <td>3182</td>\n    </tr>\n    <tr>\n      <th>2022-01-17</th>\n      <td>496.50</td>\n      <td>32268</td>\n      <td>3121</td>\n    </tr>\n    <tr>\n      <th>2022-01-18</th>\n      <td>529.31</td>\n      <td>31814</td>\n      <td>3241</td>\n    </tr>\n    <tr>\n      <th>2022-01-19</th>\n      <td>552.01</td>\n      <td>30414</td>\n      <td>3274</td>\n    </tr>\n    <tr>\n      <th>2022-01-20</th>\n      <td>544.00</td>\n      <td>32416</td>\n      <td>3594</td>\n    </tr>\n    <tr>\n      <th>2022-01-21</th>\n      <td>561.29</td>\n      <td>34300</td>\n      <td>3891</td>\n    </tr>\n    <tr>\n      <th>2022-01-22</th>\n      <td>574.00</td>\n      <td>38342</td>\n      <td>4276</td>\n    </tr>\n    <tr>\n      <th>2022-01-23</th>\n      <td>534.94</td>\n      <td>37444</td>\n      <td>3767</td>\n    </tr>\n    <tr>\n      <th>2022-01-24</th>\n      <td>543.91</td>\n      <td>34539</td>\n      <td>3175</td>\n    </tr>\n    <tr>\n      <th>2022-01-25</th>\n      <td>538.31</td>\n      <td>36753</td>\n      <td>3860</td>\n    </tr>\n    <tr>\n      <th>2022-01-26</th>\n      <td>529.59</td>\n      <td>34148</td>\n      <td>3749</td>\n    </tr>\n    <tr>\n      <th>2022-01-27</th>\n      <td>525.88</td>\n      <td>33630</td>\n      <td>3725</td>\n    </tr>\n    <tr>\n      <th>2022-01-28</th>\n      <td>545.06</td>\n      <td>34181</td>\n      <td>3866</td>\n    </tr>\n    <tr>\n      <th>2022-01-29</th>\n      <td>522.68</td>\n      <td>30637</td>\n      <td>3395</td>\n    </tr>\n    <tr>\n      <th>2022-01-30</th>\n      <td>509.69</td>\n      <td>34254</td>\n      <td>3101</td>\n    </tr>\n    <tr>\n      <th>2022-01-31</th>\n      <td>516.51</td>\n      <td>32145</td>\n      <td>2985</td>\n    </tr>\n    <tr>\n      <th>2022-02-01</th>\n      <td>500.46</td>\n      <td>25687</td>\n      <td>2662</td>\n    </tr>\n    <tr>\n      <th>2022-02-02</th>\n      <td>477.03</td>\n      <td>29061</td>\n      <td>2821</td>\n    </tr>\n    <tr>\n      <th>2022-02-03</th>\n      <td>439.93</td>\n      <td>29598</td>\n      <td>2779</td>\n    </tr>\n    <tr>\n      <th>2022-02-04</th>\n      <td>452.76</td>\n      <td>28709</td>\n      <td>2523</td>\n    </tr>\n    <tr>\n      <th>2022-02-05</th>\n      <td>508.35</td>\n      <td>30133</td>\n      <td>2884</td>\n    </tr>\n    <tr>\n      <th>2022-02-06</th>\n      <td>485.41</td>\n      <td>27635</td>\n      <td>2902</td>\n    </tr>\n    <tr>\n      <th>2022-02-07</th>\n      <td>469.75</td>\n      <td>28259</td>\n      <td>2939</td>\n    </tr>\n    <tr>\n      <th>2022-02-08</th>\n      <td>452.87</td>\n      <td>26685</td>\n      <td>2556</td>\n    </tr>\n    <tr>\n      <th>2022-02-09</th>\n      <td>470.87</td>\n      <td>26037</td>\n      <td>2691</td>\n    </tr>\n    <tr>\n      <th>2022-02-10</th>\n      <td>490.75</td>\n      <td>25530</td>\n      <td>2901</td>\n    </tr>\n    <tr>\n      <th>2022-02-11</th>\n      <td>467.50</td>\n      <td>24359</td>\n      <td>2790</td>\n    </tr>\n    <tr>\n      <th>2022-02-12</th>\n      <td>446.31</td>\n      <td>24180</td>\n      <td>2766</td>\n    </tr>\n    <tr>\n      <th>2022-02-13</th>\n      <td>466.12</td>\n      <td>25274</td>\n      <td>3054</td>\n    </tr>\n    <tr>\n      <th>2022-02-14</th>\n      <td>464.96</td>\n      <td>29338</td>\n      <td>2533</td>\n    </tr>\n    <tr>\n      <th>2022-02-15</th>\n      <td>466.40</td>\n      <td>27394</td>\n      <td>2611</td>\n    </tr>\n    <tr>\n      <th>2022-02-16</th>\n      <td>493.26</td>\n      <td>27639</td>\n      <td>2905</td>\n    </tr>\n    <tr>\n      <th>2022-02-17</th>\n      <td>495.53</td>\n      <td>30228</td>\n      <td>2894</td>\n    </tr>\n    <tr>\n      <th>2022-02-18</th>\n      <td>524.59</td>\n      <td>28126</td>\n      <td>3030</td>\n    </tr>\n    <tr>\n      <th>2022-02-19</th>\n      <td>466.49</td>\n      <td>27575</td>\n      <td>2470</td>\n    </tr>\n    <tr>\n      <th>2022-02-20</th>\n      <td>503.46</td>\n      <td>27424</td>\n      <td>2799</td>\n    </tr>\n    <tr>\n      <th>2022-02-21</th>\n      <td>521.02</td>\n      <td>26965</td>\n      <td>3098</td>\n    </tr>\n    <tr>\n      <th>2022-02-22</th>\n      <td>528.08</td>\n      <td>26886</td>\n      <td>3317</td>\n    </tr>\n    <tr>\n      <th>2022-02-23</th>\n      <td>533.95</td>\n      <td>25022</td>\n      <td>3174</td>\n    </tr>\n    <tr>\n      <th>2022-02-24</th>\n      <td>505.76</td>\n      <td>26727</td>\n      <td>3079</td>\n    </tr>\n    <tr>\n      <th>2022-02-25</th>\n      <td>445.43</td>\n      <td>21930</td>\n      <td>2580</td>\n    </tr>\n    <tr>\n      <th>2022-02-26</th>\n      <td>491.01</td>\n      <td>16645</td>\n      <td>2733</td>\n    </tr>\n    <tr>\n      <th>2022-02-27</th>\n      <td>465.33</td>\n      <td>17884</td>\n      <td>2862</td>\n    </tr>\n    <tr>\n      <th>2022-02-28</th>\n      <td>487.21</td>\n      <td>15457</td>\n      <td>3029</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hddj_daily_1"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "outputs": [],
   "source": [
    "hddj_daily_data = pd.concat([hddj_daily_1, hddj_daily_2], axis=1)"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "outputs": [
    {
     "data": {
      "text/plain": "Index(['时间', '企业名称', '监测点', '流量 （m3/h）', 'NOx浓度(mg/m3)', 'SO2浓度(mg/m3)',\n       '烟尘浓度(mg/m3)', '含氧量（%）', '温度（℃）', '烟气湿度（%）', '烟气压力（千帕）', '烟气流速（m/s）',\n       '状态', 'Unnamed: 13', '时间.1', '企业名称.1', '监测点.1', '流量 （m3/h）.1',\n       'NOx浓度(mg/m3).1', 'SO2浓度(mg/m3).1', '烟尘浓度(mg/m3).1', '含氧量（%）.1',\n       '温度（℃）.1', '烟气湿度（%）.1', '烟气压力（千帕）.1', '烟气流速（m/s）.1', '状态.1'],\n      dtype='object')"
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hddj_emiss_data = pd.read_excel('data/机器学习样表_单位换算.xlsx', sheet_name=4)\n",
    "hddj_emiss_data.columns"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "outputs": [
    {
     "data": {
      "text/plain": "                   时间              企业名称               监测点  流量 （m3/h）  \\\n0 2022-01-01 00:00:00  国电电力邯郸东郊热电有限责任公司  1号机组排口DA002（DCS）   930582.0   \n1 2022-01-01 01:00:00  国电电力邯郸东郊热电有限责任公司  1号机组排口DA002（DCS）   891316.8   \n\n   NOx浓度(mg/m3)  SO2浓度(mg/m3)  烟尘浓度(mg/m3)  含氧量（%）   温度（℃）  烟气湿度（%）  ...  \\\n0        13.379        13.158        3.438   6.435  48.604   14.695  ...   \n1        19.312        17.951        2.798   7.164  47.819   14.156  ...   \n\n   流量 （m3/h）.1  NOx浓度(mg/m3).1 SO2浓度(mg/m3).1  烟尘浓度(mg/m3).1 含氧量（%）.1 温度（℃）.1  \\\n0    1111474.8          18.171         18.171          0.476    7.065  48.307   \n1    1103194.8          20.524         22.773          0.479    7.130  48.887   \n\n  烟气湿度（%）.1  烟气压力（千帕）.1  烟气流速（m/s）.1  状态.1  \n0    13.253      -0.012       13.693    停运  \n1    13.734      -0.021       13.691    停运  \n\n[2 rows x 27 columns]",
      "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>时间</th>\n      <th>企业名称</th>\n      <th>监测点</th>\n      <th>流量 （m3/h）</th>\n      <th>NOx浓度(mg/m3)</th>\n      <th>SO2浓度(mg/m3)</th>\n      <th>烟尘浓度(mg/m3)</th>\n      <th>含氧量（%）</th>\n      <th>温度（℃）</th>\n      <th>烟气湿度（%）</th>\n      <th>...</th>\n      <th>流量 （m3/h）.1</th>\n      <th>NOx浓度(mg/m3).1</th>\n      <th>SO2浓度(mg/m3).1</th>\n      <th>烟尘浓度(mg/m3).1</th>\n      <th>含氧量（%）.1</th>\n      <th>温度（℃）.1</th>\n      <th>烟气湿度（%）.1</th>\n      <th>烟气压力（千帕）.1</th>\n      <th>烟气流速（m/s）.1</th>\n      <th>状态.1</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>2022-01-01 00:00:00</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>1号机组排口DA002（DCS）</td>\n      <td>930582.0</td>\n      <td>13.379</td>\n      <td>13.158</td>\n      <td>3.438</td>\n      <td>6.435</td>\n      <td>48.604</td>\n      <td>14.695</td>\n      <td>...</td>\n      <td>1111474.8</td>\n      <td>18.171</td>\n      <td>18.171</td>\n      <td>0.476</td>\n      <td>7.065</td>\n      <td>48.307</td>\n      <td>13.253</td>\n      <td>-0.012</td>\n      <td>13.693</td>\n      <td>停运</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2022-01-01 01:00:00</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>1号机组排口DA002（DCS）</td>\n      <td>891316.8</td>\n      <td>19.312</td>\n      <td>17.951</td>\n      <td>2.798</td>\n      <td>7.164</td>\n      <td>47.819</td>\n      <td>14.156</td>\n      <td>...</td>\n      <td>1103194.8</td>\n      <td>20.524</td>\n      <td>22.773</td>\n      <td>0.479</td>\n      <td>7.130</td>\n      <td>48.887</td>\n      <td>13.734</td>\n      <td>-0.021</td>\n      <td>13.691</td>\n      <td>停运</td>\n    </tr>\n  </tbody>\n</table>\n<p>2 rows × 27 columns</p>\n</div>"
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hddj_emiss_data.head(2)"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "outputs": [],
   "source": [
    "hddj_emiss_data_1 = hddj_emiss_data[['时间', '流量 （m3/h）', 'NOx浓度(mg/m3)', 'SO2浓度(mg/m3)',\n",
    "                                     '烟尘浓度(mg/m3)', '含氧量（%）', '温度（℃）', '烟气湿度（%）', '烟气压力（千帕）', '烟气流速（m/s）',\n",
    "                                     '状态', ]].copy()\n",
    "hddj_emiss_data_2 = hddj_emiss_data[['时间.1', '流量 （m3/h）.1',\n",
    "                                     'NOx浓度(mg/m3).1', 'SO2浓度(mg/m3).1', '烟尘浓度(mg/m3).1', '含氧量（%）.1',\n",
    "                                     '温度（℃）.1', '烟气湿度（%）.1', '烟气压力（千帕）.1', '烟气流速（m/s）.1', '状态.1']].copy()"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "outputs": [],
   "source": [
    "hddj_emiss_data_1.columns = ['date'] + hddj_emiss_data_1.columns[1:].tolist()\n",
    "hddj_emiss_data_2.columns = hddj_emiss_data_1.columns.tolist()"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "outputs": [],
   "source": [
    "hddj_emiss_data_1['days'] = hddj_emiss_data_1.date.apply(lambda x: str(x).split(' ')[0])\n",
    "hddj_emiss_data_2['days'] = hddj_emiss_data_2.date.apply(lambda x: str(x).split(' ')[0])"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "outputs": [],
   "source": [
    "num_cols = hddj_emiss_data_1.columns[1:-2]\n",
    "hddj_emiss_daily_1 = hddj_emiss_data_1.ffill().groupby('days')[num_cols].mean()\n",
    "hddj_emiss_daily_1['状态'] = '正常运行'\n",
    "hddj_emiss_daily_1.columns = [f\"机组1_{x}\" for x in hddj_emiss_daily_1.columns]\n",
    "hddj_emiss_daily_2 = hddj_emiss_data_2.ffill().groupby('days')[num_cols].mean()\n",
    "hddj_emiss_daily_2['状态'] = '正常运行'\n",
    "hddj_emiss_daily_2.columns = [f\"机组2_{x}\" for x in hddj_emiss_daily_2.columns]"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "outputs": [],
   "source": [
    "hddj_daily_data.index = hddj_daily_data.index.astype(str)\n",
    "hddj_daily_data['企业名称'] = \"国电电力邯郸东郊热电有限责任公司\""
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "outputs": [
    {
     "data": {
      "text/plain": "            发电量_1（万千瓦时）  供热量_1（吉焦）  燃料消耗量_1（吨）  发电量_2（万千瓦时）  供热量_2（吉焦）  \\\n2022-01-01       494.20      30829        2861       536.50        324   \n2022-01-02       554.30      32122        2536       567.90       1008   \n2022-01-03       558.30      33451        2911       566.20       1296   \n2022-01-04       529.70      33179        3023       563.50       1248   \n2022-01-05       563.90      29731        3191       609.30       1362   \n2022-01-06       561.00      32505        3357       577.20       1236   \n2022-01-07       570.00      33189        3231       579.00       1035   \n2022-01-08       526.80      31881        2765       542.90       1323   \n2022-01-09       517.10      30799        2574       538.90       1305   \n2022-01-10       512.80      29277        2512       483.40       1335   \n2022-01-11       521.20      32460        2757       536.10       1299   \n2022-01-12       543.32      33593        3132       558.85       1368   \n2022-01-13       512.52      33326        2950       527.32       1398   \n2022-01-14       495.42      31417        2755       512.83       1536   \n2022-01-15       500.06      32434        2834       517.19       1242   \n2022-01-16       527.93      31986        3182       542.34       1116   \n2022-01-17       496.50      32268        3121       513.14       1362   \n2022-01-18       529.31      31814        3241       544.11       1305   \n2022-01-19       552.01      30414        3274       565.96       1161   \n2022-01-20       544.00      32416        3594       581.34       1329   \n2022-01-21       561.29      34300        3891       617.18       1383   \n2022-01-22       574.00      38342        4276       585.25       1368   \n2022-01-23       534.94      37444        3767       550.24       1242   \n2022-01-24       543.91      34539        3175       550.61       1362   \n2022-01-25       538.31      36753        3860       551.21       1131   \n2022-01-26       529.59      34148        3749       545.59        891   \n2022-01-27       525.88      33630        3725       537.33        777   \n2022-01-28       545.06      34181        3866       554.88        558   \n2022-01-29       522.68      30637        3395       544.47        399   \n2022-01-30       509.69      34254        3101       526.92        258   \n2022-01-31       516.51      32145        2985       528.13        210   \n2022-02-01       500.46      25687        2662       543.60        207   \n2022-02-02       477.03      29061        2821       534.40        186   \n2022-02-03       439.93      29598        2779       494.86        204   \n2022-02-04       452.76      28709        2523       493.99        282   \n2022-02-05       508.35      30133        2884       521.49        285   \n2022-02-06       485.41      27635        2902       503.13        363   \n2022-02-07       469.75      28259        2939       484.85        363   \n2022-02-08       452.87      26685        2556       481.92        603   \n2022-02-09       470.87      26037        2691       488.17        681   \n2022-02-10       490.75      25530        2901       508.89        591   \n2022-02-11       467.50      24359        2790       497.45        735   \n2022-02-12       446.31      24180        2766       474.04        621   \n2022-02-13       466.12      25274        3054       491.41        594   \n2022-02-14       464.96      29338        2533       491.96        651   \n2022-02-15       466.40      27394        2611       444.04        474   \n2022-02-16       493.26      27639        2905       420.10       1074   \n2022-02-17       495.53      30228        2894       469.32       1362   \n2022-02-18       524.59      28126        3030       531.28       1413   \n2022-02-19       466.49      27575        2470       497.11       1317   \n2022-02-20       503.46      27424        2799       460.91       1281   \n2022-02-21       521.02      26965        3098       482.89       1317   \n2022-02-22       528.08      26886        3317       490.45       1314   \n2022-02-23       533.95      25022        3174       494.54       1407   \n2022-02-24       505.76      26727        3079       527.43       1200   \n2022-02-25       445.43      21930        2580       473.06       1368   \n2022-02-26       491.01      16645        2733       509.18       1341   \n2022-02-27       465.33      17884        2862       500.18       1269   \n2022-02-28       487.21      15457        3029       497.76       1236   \n\n            燃料消耗量_2（吨）              企业名称  机组1_流量 （m3/h）  机组1_NOx浓度(mg/m3)  \\\n2022-01-01        2752  国电电力邯郸东郊热电有限责任公司      941229.60         18.200375   \n2022-01-02        3086  国电电力邯郸东郊热电有限责任公司      992216.10         19.536458   \n2022-01-03        2914  国电电力邯郸东郊热电有限责任公司     1016053.05         20.577917   \n2022-01-04        2847  国电电力邯郸东郊热电有限责任公司      979135.35         20.397917   \n2022-01-05        3014  国电电力邯郸东郊热电有限责任公司      996159.15         17.955417   \n2022-01-06        3353  国电电力邯郸东郊热电有限责任公司      970119.15         20.292250   \n2022-01-07        3252  国电电力邯郸东郊热电有限责任公司      998681.85         18.996333   \n2022-01-08        2548  国电电力邯郸东郊热电有限责任公司      974497.65         19.103583   \n2022-01-09        2394  国电电力邯郸东郊热电有限责任公司      957560.55         19.974542   \n2022-01-10        2303  国电电力邯郸东郊热电有限责任公司      956263.20         20.450042   \n2022-01-11        2819  国电电力邯郸东郊热电有限责任公司      955973.40         18.979875   \n2022-01-12        2612  国电电力邯郸东郊热电有限责任公司      987528.75         18.116542   \n2022-01-13        2820  国电电力邯郸东郊热电有限责任公司      971672.85         18.861125   \n2022-01-14        2820  国电电力邯郸东郊热电有限责任公司      956458.65         18.336958   \n2022-01-15        2986  国电电力邯郸东郊热电有限责任公司      950168.55         20.059333   \n2022-01-16        3132  国电电力邯郸东郊热电有限责任公司      973078.80         19.974500   \n2022-01-17        2912  国电电力邯郸东郊热电有限责任公司      956802.15         18.879083   \n2022-01-18        3070  国电电力邯郸东郊热电有限责任公司      991453.20         20.236625   \n2022-01-19        3297  国电电力邯郸东郊热电有限责任公司      991811.85         20.144542   \n2022-01-20        3359  国电电力邯郸东郊热电有限责任公司     1005389.55         19.532208   \n2022-01-21        4019  国电电力邯郸东郊热电有限责任公司     1028425.05         19.846833   \n2022-01-22        3923  国电电力邯郸东郊热电有限责任公司     1030724.40         20.398667   \n2022-01-23        3743  国电电力邯郸东郊热电有限责任公司      685315.05         20.195708   \n2022-01-24        3852  国电电力邯郸东郊热电有限责任公司      747819.00         19.783167   \n2022-01-25        3621  国电电力邯郸东郊热电有限责任公司      981332.25         20.899917   \n2022-01-26        3735  国电电力邯郸东郊热电有限责任公司      973191.45         19.605917   \n2022-01-27        3446  国电电力邯郸东郊热电有限责任公司      976386.90         21.139042   \n2022-01-28        3721  国电电力邯郸东郊热电有限责任公司      995228.10         20.381167   \n2022-01-29        3142  国电电力邯郸东郊热电有限责任公司      967837.80         20.602667   \n2022-01-30        2820  国电电力邯郸东郊热电有限责任公司      959857.95         22.424542   \n2022-01-31        2966  国电电力邯郸东郊热电有限责任公司      982636.80         22.933250   \n2022-02-01        2895  国电电力邯郸东郊热电有限责任公司      958825.35         18.983458   \n2022-02-02        2930  国电电力邯郸东郊热电有限责任公司      935412.75         19.692250   \n2022-02-03        2937  国电电力邯郸东郊热电有限责任公司      908839.35         20.232167   \n2022-02-04        2867  国电电力邯郸东郊热电有限责任公司      911025.60         18.351792   \n2022-02-05        2916  国电电力邯郸东郊热电有限责任公司      920823.45         19.440333   \n2022-02-06        2947  国电电力邯郸东郊热电有限责任公司      916121.70         18.340417   \n2022-02-07        2754  国电电力邯郸东郊热电有限责任公司      917169.90         18.995583   \n2022-02-08        2485  国电电力邯郸东郊热电有限责任公司      886401.60         20.192167   \n2022-02-09        2834  国电电力邯郸东郊热电有限责任公司      906835.80         19.853292   \n2022-02-10        3172  国电电力邯郸东郊热电有限责任公司      928945.80         19.825792   \n2022-02-11        2835  国电电力邯郸东郊热电有限责任公司      885137.40         20.022458   \n2022-02-12        2787  国电电力邯郸东郊热电有限责任公司      878793.15         19.901583   \n2022-02-13        2915  国电电力邯郸东郊热电有限责任公司      904216.50         19.563583   \n2022-02-14        2555  国电电力邯郸东郊热电有限责任公司      898221.45         19.591208   \n2022-02-15        2447  国电电力邯郸东郊热电有限责任公司      898496.85         20.304208   \n2022-02-16        2350  国电电力邯郸东郊热电有限责任公司      930371.55         19.781625   \n2022-02-17        2623  国电电力邯郸东郊热电有限责任公司      924087.90         20.751667   \n2022-02-18        2724  国电电力邯郸东郊热电有限责任公司      943475.55         17.547500   \n2022-02-19        2409  国电电力邯郸东郊热电有限责任公司      927422.25         16.901125   \n2022-02-20        2916  国电电力邯郸东郊热电有限责任公司      956680.50         17.790792   \n2022-02-21        2996  国电电力邯郸东郊热电有限责任公司      948743.85         20.735625   \n2022-02-22        3209  国电电力邯郸东郊热电有限责任公司      960633.00         20.336125   \n2022-02-23        2868  国电电力邯郸东郊热电有限责任公司      962487.30         14.817583   \n2022-02-24        2921  国电电力邯郸东郊热电有限责任公司      923360.40         12.179875   \n2022-02-25        2584  国电电力邯郸东郊热电有限责任公司      860085.15         10.475958   \n2022-02-26        2545  国电电力邯郸东郊热电有限责任公司      902073.30         16.492917   \n2022-02-27        2825  国电电力邯郸东郊热电有限责任公司      873491.25         19.575875   \n2022-02-28        2632  国电电力邯郸东郊热电有限责任公司      873223.80         19.886042   \n\n            机组1_SO2浓度(mg/m3)  ...  机组2_流量 （m3/h）  机组2_NOx浓度(mg/m3)  \\\n2022-01-01         18.165208  ...     1095004.20         19.098625   \n2022-01-02         18.721167  ...     1113858.45         20.497292   \n2022-01-03         16.690083  ...     1111516.35         19.519958   \n2022-01-04         15.546958  ...     1112429.55         17.986042   \n2022-01-05         14.888333  ...     1141153.80         18.756125   \n2022-01-06         13.671917  ...     1112256.75         17.648125   \n2022-01-07         14.894875  ...     1113637.65         18.144083   \n2022-01-08         16.130625  ...     1092330.60         17.743625   \n2022-01-09         13.766125  ...     1083863.40         17.620958   \n2022-01-10         15.530625  ...     1037804.40         17.968750   \n2022-01-11         14.161208  ...     1084317.30         17.114042   \n2022-01-12         11.636042  ...     1094112.45         17.645292   \n2022-01-13         13.701250  ...     1072833.30         18.238292   \n2022-01-14         12.812500  ...     1066098.60         17.308125   \n2022-01-15         12.266542  ...     1075279.95         18.627792   \n2022-01-16         14.186208  ...     1090436.85         16.915625   \n2022-01-17         13.058542  ...     1064488.95         18.095833   \n2022-01-18         15.996250  ...     1092306.45         18.965000   \n2022-01-19         14.782958  ...     1087070.70         19.335167   \n2022-01-20         15.500333  ...     1113286.95         18.942125   \n2022-01-21         15.057042  ...     1150941.60         18.483375   \n2022-01-22         15.060083  ...     1115300.25         18.465542   \n2022-01-23         13.737458  ...     1102247.70         18.294292   \n2022-01-24         13.516667  ...     1098705.00         17.310875   \n2022-01-25         17.045250  ...     1110458.10         17.740417   \n2022-01-26         15.363083  ...     1098819.75         18.230167   \n2022-01-27         16.053542  ...     1079510.70         17.716750   \n2022-01-28         17.793375  ...     1093401.60         18.939708   \n2022-01-29         15.591625  ...     1083312.90         19.393750   \n2022-01-30         21.170125  ...     1077400.95         20.856208   \n2022-01-31         18.113667  ...     1081850.55         20.094917   \n2022-02-01         16.199000  ...     1089026.85         20.805875   \n2022-02-02         15.898208  ...     1089972.75         19.052292   \n2022-02-03         14.801333  ...     1060159.80         19.806708   \n2022-02-04         14.603708  ...     1059162.90         17.241125   \n2022-02-05         14.161000  ...     1084824.90         17.398917   \n2022-02-06         14.278167  ...     1059457.95         15.366292   \n2022-02-07         15.024875  ...     1046341.05         18.485042   \n2022-02-08         14.818625  ...     1036790.55         18.849500   \n2022-02-09         14.572875  ...     1038851.70         17.988792   \n2022-02-10         15.346833  ...     1062997.35         17.954583   \n2022-02-11         15.645167  ...     1059613.65         17.185792   \n2022-02-12         11.658667  ...     1043504.40         18.584083   \n2022-02-13         14.393250  ...     1061035.50         19.747500   \n2022-02-14         16.393500  ...     1059337.20         19.648167   \n2022-02-15         15.477375  ...     1021689.15         18.697583   \n2022-02-16         13.623167  ...      991069.20         16.822500   \n2022-02-17         16.294000  ...     1039439.10         19.709708   \n2022-02-18         15.684250  ...     1088419.20         17.534083   \n2022-02-19         14.059042  ...     1065218.70         17.390458   \n2022-02-20         14.316042  ...     1079138.85         18.781292   \n2022-02-21         13.478583  ...     1083679.50         19.196333   \n2022-02-22         17.093583  ...     1082105.40         19.493083   \n2022-02-23         12.260375  ...     1071494.25         16.403542   \n2022-02-24          8.796875  ...     1059437.85         14.083875   \n2022-02-25          6.187042  ...     1024307.10         12.822500   \n2022-02-26          9.615208  ...     1037322.30         16.268375   \n2022-02-27         18.428667  ...     1035227.55         19.332083   \n2022-02-28         17.970458  ...     1027222.05         19.495750   \n\n            机组2_SO2浓度(mg/m3)  机组2_烟尘浓度(mg/m3)  机组2_含氧量（%）  机组2_温度（℃）  \\\n2022-01-01         16.495917         0.477167    7.384167  49.570583   \n2022-01-02         15.455208         0.453042    6.918208  48.557083   \n2022-01-03         15.434792         0.459625    7.142917  49.184958   \n2022-01-04         13.265125         0.464458    7.163542  49.099500   \n2022-01-05         14.446000         0.487458    6.975583  49.745875   \n2022-01-06          9.985417         0.552083    7.258000  50.724417   \n2022-01-07         14.375125         0.531500    7.082708  50.259708   \n2022-01-08         15.234625         0.502833    7.209167  49.827500   \n2022-01-09         13.893542         0.565583    7.215167  49.601458   \n2022-01-10         12.740167         0.514167    7.948000  49.459583   \n2022-01-11         11.562042         0.526583    7.341083  50.172417   \n2022-01-12         11.908917         0.523000    7.001083  49.564167   \n2022-01-13         11.256125         0.487292    7.163792  49.767583   \n2022-01-14         11.162625         0.478542    7.419292  49.618292   \n2022-01-15         13.612458         0.497458    7.446625  49.474000   \n2022-01-16         12.755250         0.442083    7.392500  49.458458   \n2022-01-17         11.811625         0.488917    7.067125  49.127708   \n2022-01-18         14.870083         0.492542    7.034500  49.347542   \n2022-01-19         14.736000         0.494667    7.120333  50.075542   \n2022-01-20         15.420750         0.440667    7.128083  49.868583   \n2022-01-21         13.172750         0.490542    6.855500  50.414417   \n2022-01-22         14.323500         0.540750    6.913500  50.396083   \n2022-01-23         13.573833         0.561625    7.263125  49.926292   \n2022-01-24         14.138333         0.523708    7.422375  49.522792   \n2022-01-25         15.157083         0.548583    7.225333  49.643167   \n2022-01-26         13.962875         0.529250    7.353625  49.324125   \n2022-01-27         14.416917         0.446208    7.150917  49.165083   \n2022-01-28         16.025875         0.442833    6.876500  49.420125   \n2022-01-29         15.589125         0.495917    7.114250  49.561625   \n2022-01-30         19.920417         0.505208    7.135000  49.392292   \n2022-01-31         18.052333         0.477458    7.262000  48.929000   \n2022-02-01         17.409333         0.419625    6.965333  48.865042   \n2022-02-02         15.773458         0.413333    7.029000  49.367125   \n2022-02-03         15.555333         0.420792    7.337792  48.929583   \n2022-02-04         14.201500         0.426000    7.606125  48.940875   \n2022-02-05         13.958750         0.417125    7.327083  49.117375   \n2022-02-06         14.157000         0.412875    7.405000  49.008958   \n2022-02-07         14.790833         0.411958    7.544167  48.647417   \n2022-02-08         13.748292         0.409208    7.437333  48.806583   \n2022-02-09         14.982000         0.413333    7.305083  49.236333   \n2022-02-10         14.905292         0.439542    7.322958  49.126708   \n2022-02-11         15.418750         0.431875    7.399125  49.408708   \n2022-02-12         11.594583         0.440250    7.651625  49.116458   \n2022-02-13         14.760208         0.450958    7.574292  49.781083   \n2022-02-14         15.406917         0.424833    7.482917  49.330375   \n2022-02-15         13.850625         0.418458    7.849917  49.334625   \n2022-02-16         12.883958         0.418792    7.987792  49.201917   \n2022-02-17         14.789000         0.391833    7.572167  49.359500   \n2022-02-18         15.288667         0.413625    7.403667  49.193625   \n2022-02-19         14.100208         0.411917    7.867083  48.750417   \n2022-02-20         14.185750         0.417083    7.481667  49.719708   \n2022-02-21         13.091000         0.420542    7.096250  49.336583   \n2022-02-22         15.314375         0.407500    7.471250  49.393917   \n2022-02-23         11.103458         0.416125    7.264125  49.460667   \n2022-02-24          6.978250         0.421917    7.268875  49.327667   \n2022-02-25          7.001375         0.403125    7.359417  48.764042   \n2022-02-26          8.824500         0.417542    7.432958  48.933458   \n2022-02-27         17.331167         0.350625    7.471875  48.993042   \n2022-02-28         18.255167         0.358292    7.451500  49.359958   \n\n           机组2_烟气湿度（%）  机组2_烟气压力（千帕）  机组2_烟气流速（m/s）  机组2_状态  \n2022-01-01   14.332542     -0.001208      13.711958    正常运行  \n2022-01-02   13.511000     -0.004167      13.774167    正常运行  \n2022-01-03   13.971208     -0.003500      13.844875    正常运行  \n2022-01-04   13.916375     -0.008208      13.842125    正常运行  \n2022-01-05   14.428917      0.005875      14.311083    正常运行  \n2022-01-06   15.268208     -0.000167      14.131583    正常运行  \n2022-01-07   14.889875     -0.003833      14.068833    正常运行  \n2022-01-08   14.535917      0.001125      13.726083    正常运行  \n2022-01-09   14.305000     -0.008500      13.569167    正常运行  \n2022-01-10   14.191625     -0.030583      12.975792    正常运行  \n2022-01-11   14.764958     -0.029042      13.674167    正常运行  \n2022-01-12   14.263000     -0.015208      13.690458    正常运行  \n2022-01-13   14.442958     -0.022458      13.463542    正常运行  \n2022-01-14   14.328583     -0.026708      13.353708    正常运行  \n2022-01-15   14.199875     -0.017833      13.440708    正常运行  \n2022-01-16   14.185542     -0.014458      13.628750    正常运行  \n2022-01-17   13.929958     -0.020917      13.250917    正常运行  \n2022-01-18   14.144208     -0.004125      13.642042    正常运行  \n2022-01-19   14.787958     -0.029292      13.718750    正常运行  \n2022-01-20   14.510042     -0.025833      13.986250    正常运行  \n2022-01-21   14.936792     -0.005083      14.560750    正常运行  \n2022-01-22   15.098875     -0.022167      14.133250    正常运行  \n2022-01-23   14.761500     -0.027958      13.891958    正常运行  \n2022-01-24   14.277750     -0.015417      13.751458    正常运行  \n2022-01-25   14.441208     -0.008750      13.930542    正常运行  \n2022-01-26   14.133625     -0.019167      13.717375    正常运行  \n2022-01-27   13.993833     -0.019167      13.451958    正常运行  \n2022-01-28   14.186417     -0.007375      13.664208    正常运行  \n2022-01-29   14.288167     -0.012125      13.557125    正常运行  \n2022-01-30   14.165333     -0.019083      13.457583    正常运行  \n2022-01-31   13.787333     -0.011708      13.436125    正常运行  \n2022-02-01   13.722667     -0.020083      13.511750    正常运行  \n2022-02-02   14.131875     -0.013042      13.611125    正常运行  \n2022-02-03   13.783458     -0.020375      13.166667    正常运行  \n2022-02-04   13.776375     -0.031458      13.159875    正常运行  \n2022-02-05   13.928458     -0.020042      13.502917    正常运行  \n2022-02-06   13.860208     -0.019833      13.172083    正常运行  \n2022-02-07   13.576750     -0.021792      12.952875    正常运行  \n2022-02-08   13.721208     -0.025417      12.863625    正常运行  \n2022-02-09   14.036875     -0.026583      12.952667    正常运行  \n2022-02-10   13.953417     -0.011083      13.232667    正常运行  \n2022-02-11   14.210083     -0.011542      13.247875    正常运行  \n2022-02-12   13.956625     -0.018250      12.992667    正常运行  \n2022-02-13   14.427542     -0.037625      13.313500    正常运行  \n2022-02-14   14.049500     -0.044708      13.217542    正常运行  \n2022-02-15   14.077958     -0.049333      12.751083    正常运行  \n2022-02-16   13.875458     -0.062125      12.336333    正常运行  \n2022-02-17   14.031000     -0.041375      12.966167    正常运行  \n2022-02-18   13.987625     -0.024583      13.562792    正常运行  \n2022-02-19   13.605208     -0.032292      13.194958    正常运行  \n2022-02-20   14.403625     -0.016708      13.532375    正常运行  \n2022-02-21   14.083542     -0.014750      13.520000    正常运行  \n2022-02-22   14.153542     -0.018667      13.514750    正常运行  \n2022-02-23   14.195833     -0.019167      13.393625    正常运行  \n2022-02-24   14.195417     -0.010125      13.237458    正常运行  \n2022-02-25   13.771625     -0.005583      12.710292    正常运行  \n2022-02-26   13.873167      0.002500      12.894500    正常运行  \n2022-02-27   13.949583      0.000250      12.880750    正常运行  \n2022-02-28   14.249000      0.008292      12.840625    正常运行  \n\n[59 rows x 27 columns]",
      "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>发电量_1（万千瓦时）</th>\n      <th>供热量_1（吉焦）</th>\n      <th>燃料消耗量_1（吨）</th>\n      <th>发电量_2（万千瓦时）</th>\n      <th>供热量_2（吉焦）</th>\n      <th>燃料消耗量_2（吨）</th>\n      <th>企业名称</th>\n      <th>机组1_流量 （m3/h）</th>\n      <th>机组1_NOx浓度(mg/m3)</th>\n      <th>机组1_SO2浓度(mg/m3)</th>\n      <th>...</th>\n      <th>机组2_流量 （m3/h）</th>\n      <th>机组2_NOx浓度(mg/m3)</th>\n      <th>机组2_SO2浓度(mg/m3)</th>\n      <th>机组2_烟尘浓度(mg/m3)</th>\n      <th>机组2_含氧量（%）</th>\n      <th>机组2_温度（℃）</th>\n      <th>机组2_烟气湿度（%）</th>\n      <th>机组2_烟气压力（千帕）</th>\n      <th>机组2_烟气流速（m/s）</th>\n      <th>机组2_状态</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>2022-01-01</th>\n      <td>494.20</td>\n      <td>30829</td>\n      <td>2861</td>\n      <td>536.50</td>\n      <td>324</td>\n      <td>2752</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>941229.60</td>\n      <td>18.200375</td>\n      <td>18.165208</td>\n      <td>...</td>\n      <td>1095004.20</td>\n      <td>19.098625</td>\n      <td>16.495917</td>\n      <td>0.477167</td>\n      <td>7.384167</td>\n      <td>49.570583</td>\n      <td>14.332542</td>\n      <td>-0.001208</td>\n      <td>13.711958</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-01-02</th>\n      <td>554.30</td>\n      <td>32122</td>\n      <td>2536</td>\n      <td>567.90</td>\n      <td>1008</td>\n      <td>3086</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>992216.10</td>\n      <td>19.536458</td>\n      <td>18.721167</td>\n      <td>...</td>\n      <td>1113858.45</td>\n      <td>20.497292</td>\n      <td>15.455208</td>\n      <td>0.453042</td>\n      <td>6.918208</td>\n      <td>48.557083</td>\n      <td>13.511000</td>\n      <td>-0.004167</td>\n      <td>13.774167</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-01-03</th>\n      <td>558.30</td>\n      <td>33451</td>\n      <td>2911</td>\n      <td>566.20</td>\n      <td>1296</td>\n      <td>2914</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>1016053.05</td>\n      <td>20.577917</td>\n      <td>16.690083</td>\n      <td>...</td>\n      <td>1111516.35</td>\n      <td>19.519958</td>\n      <td>15.434792</td>\n      <td>0.459625</td>\n      <td>7.142917</td>\n      <td>49.184958</td>\n      <td>13.971208</td>\n      <td>-0.003500</td>\n      <td>13.844875</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-01-04</th>\n      <td>529.70</td>\n      <td>33179</td>\n      <td>3023</td>\n      <td>563.50</td>\n      <td>1248</td>\n      <td>2847</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>979135.35</td>\n      <td>20.397917</td>\n      <td>15.546958</td>\n      <td>...</td>\n      <td>1112429.55</td>\n      <td>17.986042</td>\n      <td>13.265125</td>\n      <td>0.464458</td>\n      <td>7.163542</td>\n      <td>49.099500</td>\n      <td>13.916375</td>\n      <td>-0.008208</td>\n      <td>13.842125</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-01-05</th>\n      <td>563.90</td>\n      <td>29731</td>\n      <td>3191</td>\n      <td>609.30</td>\n      <td>1362</td>\n      <td>3014</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>996159.15</td>\n      <td>17.955417</td>\n      <td>14.888333</td>\n      <td>...</td>\n      <td>1141153.80</td>\n      <td>18.756125</td>\n      <td>14.446000</td>\n      <td>0.487458</td>\n      <td>6.975583</td>\n      <td>49.745875</td>\n      <td>14.428917</td>\n      <td>0.005875</td>\n      <td>14.311083</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-01-06</th>\n      <td>561.00</td>\n      <td>32505</td>\n      <td>3357</td>\n      <td>577.20</td>\n      <td>1236</td>\n      <td>3353</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>970119.15</td>\n      <td>20.292250</td>\n      <td>13.671917</td>\n      <td>...</td>\n      <td>1112256.75</td>\n      <td>17.648125</td>\n      <td>9.985417</td>\n      <td>0.552083</td>\n      <td>7.258000</td>\n      <td>50.724417</td>\n      <td>15.268208</td>\n      <td>-0.000167</td>\n      <td>14.131583</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-01-07</th>\n      <td>570.00</td>\n      <td>33189</td>\n      <td>3231</td>\n      <td>579.00</td>\n      <td>1035</td>\n      <td>3252</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>998681.85</td>\n      <td>18.996333</td>\n      <td>14.894875</td>\n      <td>...</td>\n      <td>1113637.65</td>\n      <td>18.144083</td>\n      <td>14.375125</td>\n      <td>0.531500</td>\n      <td>7.082708</td>\n      <td>50.259708</td>\n      <td>14.889875</td>\n      <td>-0.003833</td>\n      <td>14.068833</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-01-08</th>\n      <td>526.80</td>\n      <td>31881</td>\n      <td>2765</td>\n      <td>542.90</td>\n      <td>1323</td>\n      <td>2548</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>974497.65</td>\n      <td>19.103583</td>\n      <td>16.130625</td>\n      <td>...</td>\n      <td>1092330.60</td>\n      <td>17.743625</td>\n      <td>15.234625</td>\n      <td>0.502833</td>\n      <td>7.209167</td>\n      <td>49.827500</td>\n      <td>14.535917</td>\n      <td>0.001125</td>\n      <td>13.726083</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-01-09</th>\n      <td>517.10</td>\n      <td>30799</td>\n      <td>2574</td>\n      <td>538.90</td>\n      <td>1305</td>\n      <td>2394</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>957560.55</td>\n      <td>19.974542</td>\n      <td>13.766125</td>\n      <td>...</td>\n      <td>1083863.40</td>\n      <td>17.620958</td>\n      <td>13.893542</td>\n      <td>0.565583</td>\n      <td>7.215167</td>\n      <td>49.601458</td>\n      <td>14.305000</td>\n      <td>-0.008500</td>\n      <td>13.569167</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-01-10</th>\n      <td>512.80</td>\n      <td>29277</td>\n      <td>2512</td>\n      <td>483.40</td>\n      <td>1335</td>\n      <td>2303</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>956263.20</td>\n      <td>20.450042</td>\n      <td>15.530625</td>\n      <td>...</td>\n      <td>1037804.40</td>\n      <td>17.968750</td>\n      <td>12.740167</td>\n      <td>0.514167</td>\n      <td>7.948000</td>\n      <td>49.459583</td>\n      <td>14.191625</td>\n      <td>-0.030583</td>\n      <td>12.975792</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-01-11</th>\n      <td>521.20</td>\n      <td>32460</td>\n      <td>2757</td>\n      <td>536.10</td>\n      <td>1299</td>\n      <td>2819</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>955973.40</td>\n      <td>18.979875</td>\n      <td>14.161208</td>\n      <td>...</td>\n      <td>1084317.30</td>\n      <td>17.114042</td>\n      <td>11.562042</td>\n      <td>0.526583</td>\n      <td>7.341083</td>\n      <td>50.172417</td>\n      <td>14.764958</td>\n      <td>-0.029042</td>\n      <td>13.674167</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-01-12</th>\n      <td>543.32</td>\n      <td>33593</td>\n      <td>3132</td>\n      <td>558.85</td>\n      <td>1368</td>\n      <td>2612</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>987528.75</td>\n      <td>18.116542</td>\n      <td>11.636042</td>\n      <td>...</td>\n      <td>1094112.45</td>\n      <td>17.645292</td>\n      <td>11.908917</td>\n      <td>0.523000</td>\n      <td>7.001083</td>\n      <td>49.564167</td>\n      <td>14.263000</td>\n      <td>-0.015208</td>\n      <td>13.690458</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-01-13</th>\n      <td>512.52</td>\n      <td>33326</td>\n      <td>2950</td>\n      <td>527.32</td>\n      <td>1398</td>\n      <td>2820</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>971672.85</td>\n      <td>18.861125</td>\n      <td>13.701250</td>\n      <td>...</td>\n      <td>1072833.30</td>\n      <td>18.238292</td>\n      <td>11.256125</td>\n      <td>0.487292</td>\n      <td>7.163792</td>\n      <td>49.767583</td>\n      <td>14.442958</td>\n      <td>-0.022458</td>\n      <td>13.463542</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-01-14</th>\n      <td>495.42</td>\n      <td>31417</td>\n      <td>2755</td>\n      <td>512.83</td>\n      <td>1536</td>\n      <td>2820</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>956458.65</td>\n      <td>18.336958</td>\n      <td>12.812500</td>\n      <td>...</td>\n      <td>1066098.60</td>\n      <td>17.308125</td>\n      <td>11.162625</td>\n      <td>0.478542</td>\n      <td>7.419292</td>\n      <td>49.618292</td>\n      <td>14.328583</td>\n      <td>-0.026708</td>\n      <td>13.353708</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-01-15</th>\n      <td>500.06</td>\n      <td>32434</td>\n      <td>2834</td>\n      <td>517.19</td>\n      <td>1242</td>\n      <td>2986</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>950168.55</td>\n      <td>20.059333</td>\n      <td>12.266542</td>\n      <td>...</td>\n      <td>1075279.95</td>\n      <td>18.627792</td>\n      <td>13.612458</td>\n      <td>0.497458</td>\n      <td>7.446625</td>\n      <td>49.474000</td>\n      <td>14.199875</td>\n      <td>-0.017833</td>\n      <td>13.440708</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-01-16</th>\n      <td>527.93</td>\n      <td>31986</td>\n      <td>3182</td>\n      <td>542.34</td>\n      <td>1116</td>\n      <td>3132</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>973078.80</td>\n      <td>19.974500</td>\n      <td>14.186208</td>\n      <td>...</td>\n      <td>1090436.85</td>\n      <td>16.915625</td>\n      <td>12.755250</td>\n      <td>0.442083</td>\n      <td>7.392500</td>\n      <td>49.458458</td>\n      <td>14.185542</td>\n      <td>-0.014458</td>\n      <td>13.628750</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-01-17</th>\n      <td>496.50</td>\n      <td>32268</td>\n      <td>3121</td>\n      <td>513.14</td>\n      <td>1362</td>\n      <td>2912</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>956802.15</td>\n      <td>18.879083</td>\n      <td>13.058542</td>\n      <td>...</td>\n      <td>1064488.95</td>\n      <td>18.095833</td>\n      <td>11.811625</td>\n      <td>0.488917</td>\n      <td>7.067125</td>\n      <td>49.127708</td>\n      <td>13.929958</td>\n      <td>-0.020917</td>\n      <td>13.250917</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-01-18</th>\n      <td>529.31</td>\n      <td>31814</td>\n      <td>3241</td>\n      <td>544.11</td>\n      <td>1305</td>\n      <td>3070</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>991453.20</td>\n      <td>20.236625</td>\n      <td>15.996250</td>\n      <td>...</td>\n      <td>1092306.45</td>\n      <td>18.965000</td>\n      <td>14.870083</td>\n      <td>0.492542</td>\n      <td>7.034500</td>\n      <td>49.347542</td>\n      <td>14.144208</td>\n      <td>-0.004125</td>\n      <td>13.642042</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-01-19</th>\n      <td>552.01</td>\n      <td>30414</td>\n      <td>3274</td>\n      <td>565.96</td>\n      <td>1161</td>\n      <td>3297</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>991811.85</td>\n      <td>20.144542</td>\n      <td>14.782958</td>\n      <td>...</td>\n      <td>1087070.70</td>\n      <td>19.335167</td>\n      <td>14.736000</td>\n      <td>0.494667</td>\n      <td>7.120333</td>\n      <td>50.075542</td>\n      <td>14.787958</td>\n      <td>-0.029292</td>\n      <td>13.718750</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-01-20</th>\n      <td>544.00</td>\n      <td>32416</td>\n      <td>3594</td>\n      <td>581.34</td>\n      <td>1329</td>\n      <td>3359</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>1005389.55</td>\n      <td>19.532208</td>\n      <td>15.500333</td>\n      <td>...</td>\n      <td>1113286.95</td>\n      <td>18.942125</td>\n      <td>15.420750</td>\n      <td>0.440667</td>\n      <td>7.128083</td>\n      <td>49.868583</td>\n      <td>14.510042</td>\n      <td>-0.025833</td>\n      <td>13.986250</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-01-21</th>\n      <td>561.29</td>\n      <td>34300</td>\n      <td>3891</td>\n      <td>617.18</td>\n      <td>1383</td>\n      <td>4019</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>1028425.05</td>\n      <td>19.846833</td>\n      <td>15.057042</td>\n      <td>...</td>\n      <td>1150941.60</td>\n      <td>18.483375</td>\n      <td>13.172750</td>\n      <td>0.490542</td>\n      <td>6.855500</td>\n      <td>50.414417</td>\n      <td>14.936792</td>\n      <td>-0.005083</td>\n      <td>14.560750</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-01-22</th>\n      <td>574.00</td>\n      <td>38342</td>\n      <td>4276</td>\n      <td>585.25</td>\n      <td>1368</td>\n      <td>3923</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>1030724.40</td>\n      <td>20.398667</td>\n      <td>15.060083</td>\n      <td>...</td>\n      <td>1115300.25</td>\n      <td>18.465542</td>\n      <td>14.323500</td>\n      <td>0.540750</td>\n      <td>6.913500</td>\n      <td>50.396083</td>\n      <td>15.098875</td>\n      <td>-0.022167</td>\n      <td>14.133250</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-01-23</th>\n      <td>534.94</td>\n      <td>37444</td>\n      <td>3767</td>\n      <td>550.24</td>\n      <td>1242</td>\n      <td>3743</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>685315.05</td>\n      <td>20.195708</td>\n      <td>13.737458</td>\n      <td>...</td>\n      <td>1102247.70</td>\n      <td>18.294292</td>\n      <td>13.573833</td>\n      <td>0.561625</td>\n      <td>7.263125</td>\n      <td>49.926292</td>\n      <td>14.761500</td>\n      <td>-0.027958</td>\n      <td>13.891958</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-01-24</th>\n      <td>543.91</td>\n      <td>34539</td>\n      <td>3175</td>\n      <td>550.61</td>\n      <td>1362</td>\n      <td>3852</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>747819.00</td>\n      <td>19.783167</td>\n      <td>13.516667</td>\n      <td>...</td>\n      <td>1098705.00</td>\n      <td>17.310875</td>\n      <td>14.138333</td>\n      <td>0.523708</td>\n      <td>7.422375</td>\n      <td>49.522792</td>\n      <td>14.277750</td>\n      <td>-0.015417</td>\n      <td>13.751458</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-01-25</th>\n      <td>538.31</td>\n      <td>36753</td>\n      <td>3860</td>\n      <td>551.21</td>\n      <td>1131</td>\n      <td>3621</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>981332.25</td>\n      <td>20.899917</td>\n      <td>17.045250</td>\n      <td>...</td>\n      <td>1110458.10</td>\n      <td>17.740417</td>\n      <td>15.157083</td>\n      <td>0.548583</td>\n      <td>7.225333</td>\n      <td>49.643167</td>\n      <td>14.441208</td>\n      <td>-0.008750</td>\n      <td>13.930542</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-01-26</th>\n      <td>529.59</td>\n      <td>34148</td>\n      <td>3749</td>\n      <td>545.59</td>\n      <td>891</td>\n      <td>3735</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>973191.45</td>\n      <td>19.605917</td>\n      <td>15.363083</td>\n      <td>...</td>\n      <td>1098819.75</td>\n      <td>18.230167</td>\n      <td>13.962875</td>\n      <td>0.529250</td>\n      <td>7.353625</td>\n      <td>49.324125</td>\n      <td>14.133625</td>\n      <td>-0.019167</td>\n      <td>13.717375</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-01-27</th>\n      <td>525.88</td>\n      <td>33630</td>\n      <td>3725</td>\n      <td>537.33</td>\n      <td>777</td>\n      <td>3446</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>976386.90</td>\n      <td>21.139042</td>\n      <td>16.053542</td>\n      <td>...</td>\n      <td>1079510.70</td>\n      <td>17.716750</td>\n      <td>14.416917</td>\n      <td>0.446208</td>\n      <td>7.150917</td>\n      <td>49.165083</td>\n      <td>13.993833</td>\n      <td>-0.019167</td>\n      <td>13.451958</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-01-28</th>\n      <td>545.06</td>\n      <td>34181</td>\n      <td>3866</td>\n      <td>554.88</td>\n      <td>558</td>\n      <td>3721</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>995228.10</td>\n      <td>20.381167</td>\n      <td>17.793375</td>\n      <td>...</td>\n      <td>1093401.60</td>\n      <td>18.939708</td>\n      <td>16.025875</td>\n      <td>0.442833</td>\n      <td>6.876500</td>\n      <td>49.420125</td>\n      <td>14.186417</td>\n      <td>-0.007375</td>\n      <td>13.664208</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-01-29</th>\n      <td>522.68</td>\n      <td>30637</td>\n      <td>3395</td>\n      <td>544.47</td>\n      <td>399</td>\n      <td>3142</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>967837.80</td>\n      <td>20.602667</td>\n      <td>15.591625</td>\n      <td>...</td>\n      <td>1083312.90</td>\n      <td>19.393750</td>\n      <td>15.589125</td>\n      <td>0.495917</td>\n      <td>7.114250</td>\n      <td>49.561625</td>\n      <td>14.288167</td>\n      <td>-0.012125</td>\n      <td>13.557125</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-01-30</th>\n      <td>509.69</td>\n      <td>34254</td>\n      <td>3101</td>\n      <td>526.92</td>\n      <td>258</td>\n      <td>2820</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>959857.95</td>\n      <td>22.424542</td>\n      <td>21.170125</td>\n      <td>...</td>\n      <td>1077400.95</td>\n      <td>20.856208</td>\n      <td>19.920417</td>\n      <td>0.505208</td>\n      <td>7.135000</td>\n      <td>49.392292</td>\n      <td>14.165333</td>\n      <td>-0.019083</td>\n      <td>13.457583</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-01-31</th>\n      <td>516.51</td>\n      <td>32145</td>\n      <td>2985</td>\n      <td>528.13</td>\n      <td>210</td>\n      <td>2966</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>982636.80</td>\n      <td>22.933250</td>\n      <td>18.113667</td>\n      <td>...</td>\n      <td>1081850.55</td>\n      <td>20.094917</td>\n      <td>18.052333</td>\n      <td>0.477458</td>\n      <td>7.262000</td>\n      <td>48.929000</td>\n      <td>13.787333</td>\n      <td>-0.011708</td>\n      <td>13.436125</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-02-01</th>\n      <td>500.46</td>\n      <td>25687</td>\n      <td>2662</td>\n      <td>543.60</td>\n      <td>207</td>\n      <td>2895</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>958825.35</td>\n      <td>18.983458</td>\n      <td>16.199000</td>\n      <td>...</td>\n      <td>1089026.85</td>\n      <td>20.805875</td>\n      <td>17.409333</td>\n      <td>0.419625</td>\n      <td>6.965333</td>\n      <td>48.865042</td>\n      <td>13.722667</td>\n      <td>-0.020083</td>\n      <td>13.511750</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-02-02</th>\n      <td>477.03</td>\n      <td>29061</td>\n      <td>2821</td>\n      <td>534.40</td>\n      <td>186</td>\n      <td>2930</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>935412.75</td>\n      <td>19.692250</td>\n      <td>15.898208</td>\n      <td>...</td>\n      <td>1089972.75</td>\n      <td>19.052292</td>\n      <td>15.773458</td>\n      <td>0.413333</td>\n      <td>7.029000</td>\n      <td>49.367125</td>\n      <td>14.131875</td>\n      <td>-0.013042</td>\n      <td>13.611125</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-02-03</th>\n      <td>439.93</td>\n      <td>29598</td>\n      <td>2779</td>\n      <td>494.86</td>\n      <td>204</td>\n      <td>2937</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>908839.35</td>\n      <td>20.232167</td>\n      <td>14.801333</td>\n      <td>...</td>\n      <td>1060159.80</td>\n      <td>19.806708</td>\n      <td>15.555333</td>\n      <td>0.420792</td>\n      <td>7.337792</td>\n      <td>48.929583</td>\n      <td>13.783458</td>\n      <td>-0.020375</td>\n      <td>13.166667</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-02-04</th>\n      <td>452.76</td>\n      <td>28709</td>\n      <td>2523</td>\n      <td>493.99</td>\n      <td>282</td>\n      <td>2867</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>911025.60</td>\n      <td>18.351792</td>\n      <td>14.603708</td>\n      <td>...</td>\n      <td>1059162.90</td>\n      <td>17.241125</td>\n      <td>14.201500</td>\n      <td>0.426000</td>\n      <td>7.606125</td>\n      <td>48.940875</td>\n      <td>13.776375</td>\n      <td>-0.031458</td>\n      <td>13.159875</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-02-05</th>\n      <td>508.35</td>\n      <td>30133</td>\n      <td>2884</td>\n      <td>521.49</td>\n      <td>285</td>\n      <td>2916</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>920823.45</td>\n      <td>19.440333</td>\n      <td>14.161000</td>\n      <td>...</td>\n      <td>1084824.90</td>\n      <td>17.398917</td>\n      <td>13.958750</td>\n      <td>0.417125</td>\n      <td>7.327083</td>\n      <td>49.117375</td>\n      <td>13.928458</td>\n      <td>-0.020042</td>\n      <td>13.502917</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-02-06</th>\n      <td>485.41</td>\n      <td>27635</td>\n      <td>2902</td>\n      <td>503.13</td>\n      <td>363</td>\n      <td>2947</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>916121.70</td>\n      <td>18.340417</td>\n      <td>14.278167</td>\n      <td>...</td>\n      <td>1059457.95</td>\n      <td>15.366292</td>\n      <td>14.157000</td>\n      <td>0.412875</td>\n      <td>7.405000</td>\n      <td>49.008958</td>\n      <td>13.860208</td>\n      <td>-0.019833</td>\n      <td>13.172083</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-02-07</th>\n      <td>469.75</td>\n      <td>28259</td>\n      <td>2939</td>\n      <td>484.85</td>\n      <td>363</td>\n      <td>2754</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>917169.90</td>\n      <td>18.995583</td>\n      <td>15.024875</td>\n      <td>...</td>\n      <td>1046341.05</td>\n      <td>18.485042</td>\n      <td>14.790833</td>\n      <td>0.411958</td>\n      <td>7.544167</td>\n      <td>48.647417</td>\n      <td>13.576750</td>\n      <td>-0.021792</td>\n      <td>12.952875</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-02-08</th>\n      <td>452.87</td>\n      <td>26685</td>\n      <td>2556</td>\n      <td>481.92</td>\n      <td>603</td>\n      <td>2485</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>886401.60</td>\n      <td>20.192167</td>\n      <td>14.818625</td>\n      <td>...</td>\n      <td>1036790.55</td>\n      <td>18.849500</td>\n      <td>13.748292</td>\n      <td>0.409208</td>\n      <td>7.437333</td>\n      <td>48.806583</td>\n      <td>13.721208</td>\n      <td>-0.025417</td>\n      <td>12.863625</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-02-09</th>\n      <td>470.87</td>\n      <td>26037</td>\n      <td>2691</td>\n      <td>488.17</td>\n      <td>681</td>\n      <td>2834</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>906835.80</td>\n      <td>19.853292</td>\n      <td>14.572875</td>\n      <td>...</td>\n      <td>1038851.70</td>\n      <td>17.988792</td>\n      <td>14.982000</td>\n      <td>0.413333</td>\n      <td>7.305083</td>\n      <td>49.236333</td>\n      <td>14.036875</td>\n      <td>-0.026583</td>\n      <td>12.952667</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-02-10</th>\n      <td>490.75</td>\n      <td>25530</td>\n      <td>2901</td>\n      <td>508.89</td>\n      <td>591</td>\n      <td>3172</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>928945.80</td>\n      <td>19.825792</td>\n      <td>15.346833</td>\n      <td>...</td>\n      <td>1062997.35</td>\n      <td>17.954583</td>\n      <td>14.905292</td>\n      <td>0.439542</td>\n      <td>7.322958</td>\n      <td>49.126708</td>\n      <td>13.953417</td>\n      <td>-0.011083</td>\n      <td>13.232667</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-02-11</th>\n      <td>467.50</td>\n      <td>24359</td>\n      <td>2790</td>\n      <td>497.45</td>\n      <td>735</td>\n      <td>2835</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>885137.40</td>\n      <td>20.022458</td>\n      <td>15.645167</td>\n      <td>...</td>\n      <td>1059613.65</td>\n      <td>17.185792</td>\n      <td>15.418750</td>\n      <td>0.431875</td>\n      <td>7.399125</td>\n      <td>49.408708</td>\n      <td>14.210083</td>\n      <td>-0.011542</td>\n      <td>13.247875</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-02-12</th>\n      <td>446.31</td>\n      <td>24180</td>\n      <td>2766</td>\n      <td>474.04</td>\n      <td>621</td>\n      <td>2787</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>878793.15</td>\n      <td>19.901583</td>\n      <td>11.658667</td>\n      <td>...</td>\n      <td>1043504.40</td>\n      <td>18.584083</td>\n      <td>11.594583</td>\n      <td>0.440250</td>\n      <td>7.651625</td>\n      <td>49.116458</td>\n      <td>13.956625</td>\n      <td>-0.018250</td>\n      <td>12.992667</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-02-13</th>\n      <td>466.12</td>\n      <td>25274</td>\n      <td>3054</td>\n      <td>491.41</td>\n      <td>594</td>\n      <td>2915</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>904216.50</td>\n      <td>19.563583</td>\n      <td>14.393250</td>\n      <td>...</td>\n      <td>1061035.50</td>\n      <td>19.747500</td>\n      <td>14.760208</td>\n      <td>0.450958</td>\n      <td>7.574292</td>\n      <td>49.781083</td>\n      <td>14.427542</td>\n      <td>-0.037625</td>\n      <td>13.313500</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-02-14</th>\n      <td>464.96</td>\n      <td>29338</td>\n      <td>2533</td>\n      <td>491.96</td>\n      <td>651</td>\n      <td>2555</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>898221.45</td>\n      <td>19.591208</td>\n      <td>16.393500</td>\n      <td>...</td>\n      <td>1059337.20</td>\n      <td>19.648167</td>\n      <td>15.406917</td>\n      <td>0.424833</td>\n      <td>7.482917</td>\n      <td>49.330375</td>\n      <td>14.049500</td>\n      <td>-0.044708</td>\n      <td>13.217542</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-02-15</th>\n      <td>466.40</td>\n      <td>27394</td>\n      <td>2611</td>\n      <td>444.04</td>\n      <td>474</td>\n      <td>2447</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>898496.85</td>\n      <td>20.304208</td>\n      <td>15.477375</td>\n      <td>...</td>\n      <td>1021689.15</td>\n      <td>18.697583</td>\n      <td>13.850625</td>\n      <td>0.418458</td>\n      <td>7.849917</td>\n      <td>49.334625</td>\n      <td>14.077958</td>\n      <td>-0.049333</td>\n      <td>12.751083</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-02-16</th>\n      <td>493.26</td>\n      <td>27639</td>\n      <td>2905</td>\n      <td>420.10</td>\n      <td>1074</td>\n      <td>2350</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>930371.55</td>\n      <td>19.781625</td>\n      <td>13.623167</td>\n      <td>...</td>\n      <td>991069.20</td>\n      <td>16.822500</td>\n      <td>12.883958</td>\n      <td>0.418792</td>\n      <td>7.987792</td>\n      <td>49.201917</td>\n      <td>13.875458</td>\n      <td>-0.062125</td>\n      <td>12.336333</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-02-17</th>\n      <td>495.53</td>\n      <td>30228</td>\n      <td>2894</td>\n      <td>469.32</td>\n      <td>1362</td>\n      <td>2623</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>924087.90</td>\n      <td>20.751667</td>\n      <td>16.294000</td>\n      <td>...</td>\n      <td>1039439.10</td>\n      <td>19.709708</td>\n      <td>14.789000</td>\n      <td>0.391833</td>\n      <td>7.572167</td>\n      <td>49.359500</td>\n      <td>14.031000</td>\n      <td>-0.041375</td>\n      <td>12.966167</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-02-18</th>\n      <td>524.59</td>\n      <td>28126</td>\n      <td>3030</td>\n      <td>531.28</td>\n      <td>1413</td>\n      <td>2724</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>943475.55</td>\n      <td>17.547500</td>\n      <td>15.684250</td>\n      <td>...</td>\n      <td>1088419.20</td>\n      <td>17.534083</td>\n      <td>15.288667</td>\n      <td>0.413625</td>\n      <td>7.403667</td>\n      <td>49.193625</td>\n      <td>13.987625</td>\n      <td>-0.024583</td>\n      <td>13.562792</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-02-19</th>\n      <td>466.49</td>\n      <td>27575</td>\n      <td>2470</td>\n      <td>497.11</td>\n      <td>1317</td>\n      <td>2409</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>927422.25</td>\n      <td>16.901125</td>\n      <td>14.059042</td>\n      <td>...</td>\n      <td>1065218.70</td>\n      <td>17.390458</td>\n      <td>14.100208</td>\n      <td>0.411917</td>\n      <td>7.867083</td>\n      <td>48.750417</td>\n      <td>13.605208</td>\n      <td>-0.032292</td>\n      <td>13.194958</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-02-20</th>\n      <td>503.46</td>\n      <td>27424</td>\n      <td>2799</td>\n      <td>460.91</td>\n      <td>1281</td>\n      <td>2916</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>956680.50</td>\n      <td>17.790792</td>\n      <td>14.316042</td>\n      <td>...</td>\n      <td>1079138.85</td>\n      <td>18.781292</td>\n      <td>14.185750</td>\n      <td>0.417083</td>\n      <td>7.481667</td>\n      <td>49.719708</td>\n      <td>14.403625</td>\n      <td>-0.016708</td>\n      <td>13.532375</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-02-21</th>\n      <td>521.02</td>\n      <td>26965</td>\n      <td>3098</td>\n      <td>482.89</td>\n      <td>1317</td>\n      <td>2996</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>948743.85</td>\n      <td>20.735625</td>\n      <td>13.478583</td>\n      <td>...</td>\n      <td>1083679.50</td>\n      <td>19.196333</td>\n      <td>13.091000</td>\n      <td>0.420542</td>\n      <td>7.096250</td>\n      <td>49.336583</td>\n      <td>14.083542</td>\n      <td>-0.014750</td>\n      <td>13.520000</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-02-22</th>\n      <td>528.08</td>\n      <td>26886</td>\n      <td>3317</td>\n      <td>490.45</td>\n      <td>1314</td>\n      <td>3209</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>960633.00</td>\n      <td>20.336125</td>\n      <td>17.093583</td>\n      <td>...</td>\n      <td>1082105.40</td>\n      <td>19.493083</td>\n      <td>15.314375</td>\n      <td>0.407500</td>\n      <td>7.471250</td>\n      <td>49.393917</td>\n      <td>14.153542</td>\n      <td>-0.018667</td>\n      <td>13.514750</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-02-23</th>\n      <td>533.95</td>\n      <td>25022</td>\n      <td>3174</td>\n      <td>494.54</td>\n      <td>1407</td>\n      <td>2868</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>962487.30</td>\n      <td>14.817583</td>\n      <td>12.260375</td>\n      <td>...</td>\n      <td>1071494.25</td>\n      <td>16.403542</td>\n      <td>11.103458</td>\n      <td>0.416125</td>\n      <td>7.264125</td>\n      <td>49.460667</td>\n      <td>14.195833</td>\n      <td>-0.019167</td>\n      <td>13.393625</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-02-24</th>\n      <td>505.76</td>\n      <td>26727</td>\n      <td>3079</td>\n      <td>527.43</td>\n      <td>1200</td>\n      <td>2921</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>923360.40</td>\n      <td>12.179875</td>\n      <td>8.796875</td>\n      <td>...</td>\n      <td>1059437.85</td>\n      <td>14.083875</td>\n      <td>6.978250</td>\n      <td>0.421917</td>\n      <td>7.268875</td>\n      <td>49.327667</td>\n      <td>14.195417</td>\n      <td>-0.010125</td>\n      <td>13.237458</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-02-25</th>\n      <td>445.43</td>\n      <td>21930</td>\n      <td>2580</td>\n      <td>473.06</td>\n      <td>1368</td>\n      <td>2584</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>860085.15</td>\n      <td>10.475958</td>\n      <td>6.187042</td>\n      <td>...</td>\n      <td>1024307.10</td>\n      <td>12.822500</td>\n      <td>7.001375</td>\n      <td>0.403125</td>\n      <td>7.359417</td>\n      <td>48.764042</td>\n      <td>13.771625</td>\n      <td>-0.005583</td>\n      <td>12.710292</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-02-26</th>\n      <td>491.01</td>\n      <td>16645</td>\n      <td>2733</td>\n      <td>509.18</td>\n      <td>1341</td>\n      <td>2545</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>902073.30</td>\n      <td>16.492917</td>\n      <td>9.615208</td>\n      <td>...</td>\n      <td>1037322.30</td>\n      <td>16.268375</td>\n      <td>8.824500</td>\n      <td>0.417542</td>\n      <td>7.432958</td>\n      <td>48.933458</td>\n      <td>13.873167</td>\n      <td>0.002500</td>\n      <td>12.894500</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-02-27</th>\n      <td>465.33</td>\n      <td>17884</td>\n      <td>2862</td>\n      <td>500.18</td>\n      <td>1269</td>\n      <td>2825</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>873491.25</td>\n      <td>19.575875</td>\n      <td>18.428667</td>\n      <td>...</td>\n      <td>1035227.55</td>\n      <td>19.332083</td>\n      <td>17.331167</td>\n      <td>0.350625</td>\n      <td>7.471875</td>\n      <td>48.993042</td>\n      <td>13.949583</td>\n      <td>0.000250</td>\n      <td>12.880750</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-02-28</th>\n      <td>487.21</td>\n      <td>15457</td>\n      <td>3029</td>\n      <td>497.76</td>\n      <td>1236</td>\n      <td>2632</td>\n      <td>国电电力邯郸东郊热电有限责任公司</td>\n      <td>873223.80</td>\n      <td>19.886042</td>\n      <td>17.970458</td>\n      <td>...</td>\n      <td>1027222.05</td>\n      <td>19.495750</td>\n      <td>18.255167</td>\n      <td>0.358292</td>\n      <td>7.451500</td>\n      <td>49.359958</td>\n      <td>14.249000</td>\n      <td>0.008292</td>\n      <td>12.840625</td>\n      <td>正常运行</td>\n    </tr>\n  </tbody>\n</table>\n<p>59 rows × 27 columns</p>\n</div>"
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hddj_save_data = pd.concat([hddj_daily_data, hddj_emiss_daily_1, hddj_emiss_daily_2], axis=1)\n",
    "hddj_save_data"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "outputs": [
    {
     "data": {
      "text/plain": "Index(['企业名称', 'address_reg', 'address1', '经度', '纬度', '机组数量', '单机容量（MW）',\n       '生产设备类型', '锅炉额定蒸发量 t/h ', '汽轮机类型', '压力参数', '冷却方式', '脱硝工艺', '脱硫工艺',\n       '除尘工艺', '燃料类型', '低位发热量（GJ/t）', 'Unnamed: 17', '日期', '机组编号', '投产日期',\n       '产灰量（吨）', '产石膏量（吨）', '脱硝设施耗电量（千瓦时）', '运行时间（小时）', '除尘设施运行时间（小时）',\n       '除尘耗电量（千瓦时）', '发电量（万千瓦时）', '供热量（万吉焦）', '产渣量', '脱硫剂使用量（吨）', '脱硫耗电量（千瓦时）',\n       '脱硫设施运行时间（小时）', '脱硝还原剂消耗量（吨）', '脱硝运行时间（小时）', '燃料消耗量（吨）', 'Unnamed: 36',\n       '日期.1', '机组编号.1', '投产日期.1', '产灰量（吨）.1', '产石膏量（吨）.1', '脱硝设施耗电量（千瓦时）.1',\n       '运行时间（小时）.1', '除尘设施运行时间（小时）.1', '除尘耗电量（千瓦时）.1', '发电量（万千瓦时）.1',\n       '供热量（万吉焦）.1', '产渣量.1', '脱硫剂使用量（吨）.1', '脱硫耗电量（千瓦时）.1', '脱硫设施运行时间（小时）.1',\n       '脱硝还原剂消耗量（吨）.1', '脱硝运行时间（小时）.1', '燃料消耗量（吨）.1'],\n      dtype='object')"
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "jtzh_daily = pd.read_excel('data/机器学习样表_单位换算.xlsx', sheet_name=7)\n",
    "jtzh_daily.columns"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "outputs": [],
   "source": [
    "jtzh_daily_1 = jtzh_daily[['日期', '发电量（万千瓦时）', '供热量（万吉焦）', '燃料消耗量（吨）']].copy()\n",
    "jtzh_daily_1.columns = ['days', \"发电量_1（万千瓦时）\", '供热量_1（吉焦）', '燃料消耗量_1（吨）']\n",
    "jtzh_daily_2 = jtzh_daily[['日期.1', '发电量（万千瓦时）.1', '供热量（万吉焦）.1', '燃料消耗量（吨）.1']].copy()\n",
    "jtzh_daily_2.columns = ['days', \"发电量_2（万千瓦时）\", '供热量_2（吉焦）', '燃料消耗量_2（吨）']"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "outputs": [
    {
     "data": {
      "text/plain": "         days  发电量_2（万千瓦时）  供热量_2（吉焦）  燃料消耗量_2（吨）\n0  2022-05-01        0.000          0           0\n1  2022-05-02        0.000          0           0\n2  2022-05-03        0.000          0           0\n3  2022-05-04        0.000          0           0\n4  2022-05-05        0.000          0           0\n5  2022-05-06        0.000          0           0\n6  2022-05-07        0.000          0         426\n7  2022-05-08      218.196          0        1873\n8  2022-05-09      444.756          0        2350\n9  2022-05-10      552.114          0        2636\n10 2022-05-11      481.542          0        2432\n11 2022-05-12      439.788          0        2099\n12 2022-05-13      495.702          0        2340\n13 2022-05-14      486.624          0        2737\n14 2022-05-15      460.524          0        2461\n15 2022-05-16      505.578          0        2615\n16 2022-05-17      432.450          0        2593\n17 2022-05-18      509.586          0        2871\n18 2022-05-19      514.404          0        2637\n19 2022-05-20      514.434          0        2682\n20 2022-05-21      520.626          0        2581\n21 2022-05-22      500.040          0        2632\n22 2022-05-23      584.886          0        3187\n23 2022-05-24      514.488          0        2719\n24 2022-05-25      486.474          0        2599\n25 2022-05-26      501.366          0        2794\n26 2022-05-27      467.106          0        2401\n27 2022-05-28      504.900          0        2611\n28 2022-05-29      462.822          0        2846\n29 2022-05-30      528.960          0        2981\n30 2022-05-31      672.180          0        3560",
      "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>days</th>\n      <th>发电量_2（万千瓦时）</th>\n      <th>供热量_2（吉焦）</th>\n      <th>燃料消耗量_2（吨）</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>2022-05-01</td>\n      <td>0.000</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2022-05-02</td>\n      <td>0.000</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>2022-05-03</td>\n      <td>0.000</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>2022-05-04</td>\n      <td>0.000</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>2022-05-05</td>\n      <td>0.000</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>2022-05-06</td>\n      <td>0.000</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>6</th>\n      <td>2022-05-07</td>\n      <td>0.000</td>\n      <td>0</td>\n      <td>426</td>\n    </tr>\n    <tr>\n      <th>7</th>\n      <td>2022-05-08</td>\n      <td>218.196</td>\n      <td>0</td>\n      <td>1873</td>\n    </tr>\n    <tr>\n      <th>8</th>\n      <td>2022-05-09</td>\n      <td>444.756</td>\n      <td>0</td>\n      <td>2350</td>\n    </tr>\n    <tr>\n      <th>9</th>\n      <td>2022-05-10</td>\n      <td>552.114</td>\n      <td>0</td>\n      <td>2636</td>\n    </tr>\n    <tr>\n      <th>10</th>\n      <td>2022-05-11</td>\n      <td>481.542</td>\n      <td>0</td>\n      <td>2432</td>\n    </tr>\n    <tr>\n      <th>11</th>\n      <td>2022-05-12</td>\n      <td>439.788</td>\n      <td>0</td>\n      <td>2099</td>\n    </tr>\n    <tr>\n      <th>12</th>\n      <td>2022-05-13</td>\n      <td>495.702</td>\n      <td>0</td>\n      <td>2340</td>\n    </tr>\n    <tr>\n      <th>13</th>\n      <td>2022-05-14</td>\n      <td>486.624</td>\n      <td>0</td>\n      <td>2737</td>\n    </tr>\n    <tr>\n      <th>14</th>\n      <td>2022-05-15</td>\n      <td>460.524</td>\n      <td>0</td>\n      <td>2461</td>\n    </tr>\n    <tr>\n      <th>15</th>\n      <td>2022-05-16</td>\n      <td>505.578</td>\n      <td>0</td>\n      <td>2615</td>\n    </tr>\n    <tr>\n      <th>16</th>\n      <td>2022-05-17</td>\n      <td>432.450</td>\n      <td>0</td>\n      <td>2593</td>\n    </tr>\n    <tr>\n      <th>17</th>\n      <td>2022-05-18</td>\n      <td>509.586</td>\n      <td>0</td>\n      <td>2871</td>\n    </tr>\n    <tr>\n      <th>18</th>\n      <td>2022-05-19</td>\n      <td>514.404</td>\n      <td>0</td>\n      <td>2637</td>\n    </tr>\n    <tr>\n      <th>19</th>\n      <td>2022-05-20</td>\n      <td>514.434</td>\n      <td>0</td>\n      <td>2682</td>\n    </tr>\n    <tr>\n      <th>20</th>\n      <td>2022-05-21</td>\n      <td>520.626</td>\n      <td>0</td>\n      <td>2581</td>\n    </tr>\n    <tr>\n      <th>21</th>\n      <td>2022-05-22</td>\n      <td>500.040</td>\n      <td>0</td>\n      <td>2632</td>\n    </tr>\n    <tr>\n      <th>22</th>\n      <td>2022-05-23</td>\n      <td>584.886</td>\n      <td>0</td>\n      <td>3187</td>\n    </tr>\n    <tr>\n      <th>23</th>\n      <td>2022-05-24</td>\n      <td>514.488</td>\n      <td>0</td>\n      <td>2719</td>\n    </tr>\n    <tr>\n      <th>24</th>\n      <td>2022-05-25</td>\n      <td>486.474</td>\n      <td>0</td>\n      <td>2599</td>\n    </tr>\n    <tr>\n      <th>25</th>\n      <td>2022-05-26</td>\n      <td>501.366</td>\n      <td>0</td>\n      <td>2794</td>\n    </tr>\n    <tr>\n      <th>26</th>\n      <td>2022-05-27</td>\n      <td>467.106</td>\n      <td>0</td>\n      <td>2401</td>\n    </tr>\n    <tr>\n      <th>27</th>\n      <td>2022-05-28</td>\n      <td>504.900</td>\n      <td>0</td>\n      <td>2611</td>\n    </tr>\n    <tr>\n      <th>28</th>\n      <td>2022-05-29</td>\n      <td>462.822</td>\n      <td>0</td>\n      <td>2846</td>\n    </tr>\n    <tr>\n      <th>29</th>\n      <td>2022-05-30</td>\n      <td>528.960</td>\n      <td>0</td>\n      <td>2981</td>\n    </tr>\n    <tr>\n      <th>30</th>\n      <td>2022-05-31</td>\n      <td>672.180</td>\n      <td>0</td>\n      <td>3560</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "jtzh_daily_2"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "outputs": [
    {
     "data": {
      "text/plain": "DatetimeIndex(['2022-05-01', '2022-05-02', '2022-05-03', '2022-05-04',\n               '2022-05-05', '2022-05-06', '2022-05-07', '2022-05-08',\n               '2022-05-09', '2022-05-10', '2022-05-11', '2022-05-12',\n               '2022-05-13', '2022-05-14', '2022-05-15', '2022-05-16',\n               '2022-05-17', '2022-05-18', '2022-05-19', '2022-05-20',\n               '2022-05-21', '2022-05-22', '2022-05-23', '2022-05-24',\n               '2022-05-25', '2022-05-26', '2022-05-27', '2022-05-28',\n               '2022-05-29', '2022-05-30', '2022-05-31'],\n              dtype='datetime64[ns]', freq='D')"
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "min_start = min(jtzh_daily_1.days.min(), jtzh_daily_2.days.min())\n",
    "max_end = max(jtzh_daily_1.days.max(), jtzh_daily_2.days.max())\n",
    "date_range = pd.date_range(min_start, max_end, freq='D')\n",
    "date_range"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "outputs": [],
   "source": [
    "jtzh_daily_1 = jtzh_daily_1.set_index('days').reindex(date_range.astype(str)).fillna(0)\n",
    "jtzh_daily_2 = jtzh_daily_2.set_index('days').reindex(date_range.astype(str)).fillna(0)"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "outputs": [
    {
     "data": {
      "text/plain": "            发电量_1（万千瓦时）  供热量_1（吉焦）  燃料消耗量_1（吨）  发电量_2（万千瓦时）  供热量_2（吉焦）  \\\n2022-05-01      444.630          0        1889        0.000          0   \n2022-05-02      516.594          0        2622        0.000          0   \n2022-05-03      410.316          0        2233        0.000          0   \n2022-05-04      421.908          0        2203        0.000          0   \n2022-05-05      486.318          0        2524        0.000          0   \n2022-05-06      457.542          0        2343        0.000          0   \n2022-05-07      451.140          0        2278        0.000          0   \n2022-05-08      484.986          0        1120      218.196          0   \n2022-05-09        0.000          0           0      444.756          0   \n2022-05-10        0.000          0           0      552.114          0   \n2022-05-11        0.000          0           0      481.542          0   \n2022-05-12        0.000          0           0      439.788          0   \n2022-05-13        0.000          0           0      495.702          0   \n2022-05-14        0.000          0         121      486.624          0   \n2022-05-15      159.936          0        2251      460.524          0   \n2022-05-16      516.192          0        2543      505.578          0   \n2022-05-17      432.300          0        2432      432.450          0   \n2022-05-18      508.680          0        2810      509.586          0   \n2022-05-19      516.066          0        2972      514.404          0   \n2022-05-20      517.356          0        2623      514.434          0   \n2022-05-21      521.454          0        2759      520.626          0   \n2022-05-22      504.798          0        2545      500.040          0   \n2022-05-23      587.400          0        3294      584.886          0   \n2022-05-24      515.964          0        2633      514.488          0   \n2022-05-25      485.346          0        2694      486.474          0   \n2022-05-26      503.502          0        2619      501.366          0   \n2022-05-27      470.340          0        2510      467.106          0   \n2022-05-28      508.644          0        2753      504.900          0   \n2022-05-29      460.536          0        1163      462.822          0   \n2022-05-30        8.610          0           0      528.960          0   \n2022-05-31        0.000          0           0      672.180          0   \n\n            燃料消耗量_2（吨）  \n2022-05-01           0  \n2022-05-02           0  \n2022-05-03           0  \n2022-05-04           0  \n2022-05-05           0  \n2022-05-06           0  \n2022-05-07         426  \n2022-05-08        1873  \n2022-05-09        2350  \n2022-05-10        2636  \n2022-05-11        2432  \n2022-05-12        2099  \n2022-05-13        2340  \n2022-05-14        2737  \n2022-05-15        2461  \n2022-05-16        2615  \n2022-05-17        2593  \n2022-05-18        2871  \n2022-05-19        2637  \n2022-05-20        2682  \n2022-05-21        2581  \n2022-05-22        2632  \n2022-05-23        3187  \n2022-05-24        2719  \n2022-05-25        2599  \n2022-05-26        2794  \n2022-05-27        2401  \n2022-05-28        2611  \n2022-05-29        2846  \n2022-05-30        2981  \n2022-05-31        3560  ",
      "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>发电量_1（万千瓦时）</th>\n      <th>供热量_1（吉焦）</th>\n      <th>燃料消耗量_1（吨）</th>\n      <th>发电量_2（万千瓦时）</th>\n      <th>供热量_2（吉焦）</th>\n      <th>燃料消耗量_2（吨）</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>2022-05-01</th>\n      <td>444.630</td>\n      <td>0</td>\n      <td>1889</td>\n      <td>0.000</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>2022-05-02</th>\n      <td>516.594</td>\n      <td>0</td>\n      <td>2622</td>\n      <td>0.000</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>2022-05-03</th>\n      <td>410.316</td>\n      <td>0</td>\n      <td>2233</td>\n      <td>0.000</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>2022-05-04</th>\n      <td>421.908</td>\n      <td>0</td>\n      <td>2203</td>\n      <td>0.000</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>2022-05-05</th>\n      <td>486.318</td>\n      <td>0</td>\n      <td>2524</td>\n      <td>0.000</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>2022-05-06</th>\n      <td>457.542</td>\n      <td>0</td>\n      <td>2343</td>\n      <td>0.000</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>2022-05-07</th>\n      <td>451.140</td>\n      <td>0</td>\n      <td>2278</td>\n      <td>0.000</td>\n      <td>0</td>\n      <td>426</td>\n    </tr>\n    <tr>\n      <th>2022-05-08</th>\n      <td>484.986</td>\n      <td>0</td>\n      <td>1120</td>\n      <td>218.196</td>\n      <td>0</td>\n      <td>1873</td>\n    </tr>\n    <tr>\n      <th>2022-05-09</th>\n      <td>0.000</td>\n      <td>0</td>\n      <td>0</td>\n      <td>444.756</td>\n      <td>0</td>\n      <td>2350</td>\n    </tr>\n    <tr>\n      <th>2022-05-10</th>\n      <td>0.000</td>\n      <td>0</td>\n      <td>0</td>\n      <td>552.114</td>\n      <td>0</td>\n      <td>2636</td>\n    </tr>\n    <tr>\n      <th>2022-05-11</th>\n      <td>0.000</td>\n      <td>0</td>\n      <td>0</td>\n      <td>481.542</td>\n      <td>0</td>\n      <td>2432</td>\n    </tr>\n    <tr>\n      <th>2022-05-12</th>\n      <td>0.000</td>\n      <td>0</td>\n      <td>0</td>\n      <td>439.788</td>\n      <td>0</td>\n      <td>2099</td>\n    </tr>\n    <tr>\n      <th>2022-05-13</th>\n      <td>0.000</td>\n      <td>0</td>\n      <td>0</td>\n      <td>495.702</td>\n      <td>0</td>\n      <td>2340</td>\n    </tr>\n    <tr>\n      <th>2022-05-14</th>\n      <td>0.000</td>\n      <td>0</td>\n      <td>121</td>\n      <td>486.624</td>\n      <td>0</td>\n      <td>2737</td>\n    </tr>\n    <tr>\n      <th>2022-05-15</th>\n      <td>159.936</td>\n      <td>0</td>\n      <td>2251</td>\n      <td>460.524</td>\n      <td>0</td>\n      <td>2461</td>\n    </tr>\n    <tr>\n      <th>2022-05-16</th>\n      <td>516.192</td>\n      <td>0</td>\n      <td>2543</td>\n      <td>505.578</td>\n      <td>0</td>\n      <td>2615</td>\n    </tr>\n    <tr>\n      <th>2022-05-17</th>\n      <td>432.300</td>\n      <td>0</td>\n      <td>2432</td>\n      <td>432.450</td>\n      <td>0</td>\n      <td>2593</td>\n    </tr>\n    <tr>\n      <th>2022-05-18</th>\n      <td>508.680</td>\n      <td>0</td>\n      <td>2810</td>\n      <td>509.586</td>\n      <td>0</td>\n      <td>2871</td>\n    </tr>\n    <tr>\n      <th>2022-05-19</th>\n      <td>516.066</td>\n      <td>0</td>\n      <td>2972</td>\n      <td>514.404</td>\n      <td>0</td>\n      <td>2637</td>\n    </tr>\n    <tr>\n      <th>2022-05-20</th>\n      <td>517.356</td>\n      <td>0</td>\n      <td>2623</td>\n      <td>514.434</td>\n      <td>0</td>\n      <td>2682</td>\n    </tr>\n    <tr>\n      <th>2022-05-21</th>\n      <td>521.454</td>\n      <td>0</td>\n      <td>2759</td>\n      <td>520.626</td>\n      <td>0</td>\n      <td>2581</td>\n    </tr>\n    <tr>\n      <th>2022-05-22</th>\n      <td>504.798</td>\n      <td>0</td>\n      <td>2545</td>\n      <td>500.040</td>\n      <td>0</td>\n      <td>2632</td>\n    </tr>\n    <tr>\n      <th>2022-05-23</th>\n      <td>587.400</td>\n      <td>0</td>\n      <td>3294</td>\n      <td>584.886</td>\n      <td>0</td>\n      <td>3187</td>\n    </tr>\n    <tr>\n      <th>2022-05-24</th>\n      <td>515.964</td>\n      <td>0</td>\n      <td>2633</td>\n      <td>514.488</td>\n      <td>0</td>\n      <td>2719</td>\n    </tr>\n    <tr>\n      <th>2022-05-25</th>\n      <td>485.346</td>\n      <td>0</td>\n      <td>2694</td>\n      <td>486.474</td>\n      <td>0</td>\n      <td>2599</td>\n    </tr>\n    <tr>\n      <th>2022-05-26</th>\n      <td>503.502</td>\n      <td>0</td>\n      <td>2619</td>\n      <td>501.366</td>\n      <td>0</td>\n      <td>2794</td>\n    </tr>\n    <tr>\n      <th>2022-05-27</th>\n      <td>470.340</td>\n      <td>0</td>\n      <td>2510</td>\n      <td>467.106</td>\n      <td>0</td>\n      <td>2401</td>\n    </tr>\n    <tr>\n      <th>2022-05-28</th>\n      <td>508.644</td>\n      <td>0</td>\n      <td>2753</td>\n      <td>504.900</td>\n      <td>0</td>\n      <td>2611</td>\n    </tr>\n    <tr>\n      <th>2022-05-29</th>\n      <td>460.536</td>\n      <td>0</td>\n      <td>1163</td>\n      <td>462.822</td>\n      <td>0</td>\n      <td>2846</td>\n    </tr>\n    <tr>\n      <th>2022-05-30</th>\n      <td>8.610</td>\n      <td>0</td>\n      <td>0</td>\n      <td>528.960</td>\n      <td>0</td>\n      <td>2981</td>\n    </tr>\n    <tr>\n      <th>2022-05-31</th>\n      <td>0.000</td>\n      <td>0</td>\n      <td>0</td>\n      <td>672.180</td>\n      <td>0</td>\n      <td>3560</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "jtzh_daily_data = pd.concat([jtzh_daily_1, jtzh_daily_2], axis=1)\n",
    "jtzh_daily_data"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "outputs": [
    {
     "data": {
      "text/plain": "Index(['时间', '企业名称', '监测点', '流量 （m3/h）', 'NOx浓度(mg/m3)', 'SO2浓度(mg/m3)',\n       '烟尘浓度(mg/m3)', '含氧量（%）', '烟气湿度（%）', '温度（℃）', '烟气流速（m/s）', '状态',\n       'Unnamed: 12', '时间.1', '企业名称.1', '监测点.1', '流量 （m3/h）.1',\n       'NOx浓度(mg/m3).1', 'SO2浓度(mg/m3).1', '烟尘浓度(mg/m3).1', '含氧量（%）.1',\n       '烟气湿度（%）.1', '温度（℃）.1', '烟气流速（m/s）.1', '状态.1'],\n      dtype='object')"
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "jtzh_emiss_data = pd.read_excel('data/机器学习样表_单位换算.xlsx', sheet_name=6)\n",
    "jtzh_emiss_data.columns"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "outputs": [],
   "source": [
    "jtzh_emiss_data_1 = jtzh_emiss_data[['时间', '流量 （m3/h）', 'NOx浓度(mg/m3)', 'SO2浓度(mg/m3)',\n",
    "                                     '烟尘浓度(mg/m3)', '含氧量（%）', '温度（℃）', '烟气湿度（%）', '烟气流速（m/s）',\n",
    "                                     '状态', ]].copy()\n",
    "jtzh_emiss_data_2 = jtzh_emiss_data[['时间.1', '流量 （m3/h）.1',\n",
    "                                     'NOx浓度(mg/m3).1', 'SO2浓度(mg/m3).1', '烟尘浓度(mg/m3).1', '含氧量（%）.1',\n",
    "                                     '温度（℃）.1', '烟气湿度（%）.1', '烟气流速（m/s）.1', '状态.1']].copy()"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "outputs": [],
   "source": [
    "jtzh_emiss_data_1.columns = ['date'] + jtzh_emiss_data_1.columns[1:].tolist()\n",
    "jtzh_emiss_data_2.columns = jtzh_emiss_data_1.columns.tolist()"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "outputs": [],
   "source": [
    "jtzh_emiss_data_1['days'] = jtzh_emiss_data_1.date.apply(lambda x: str(x).split(' ')[0])\n",
    "jtzh_emiss_data_2['days'] = jtzh_emiss_data_2.date.apply(lambda x: str(x).split(' ')[0])"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "outputs": [
    {
     "data": {
      "text/plain": "                   date  流量 （m3/h）  NOx浓度(mg/m3)  SO2浓度(mg/m3)  烟尘浓度(mg/m3)  \\\n0   2022-05-01 00:00:00     705600          9.79         11.48         1.89   \n1   2022-05-01 01:00:00     716760         14.68         14.25         1.87   \n2   2022-05-01 02:00:00     685080         12.44         11.01         1.92   \n3   2022-05-01 03:00:00     687960         16.18         12.24         1.91   \n4   2022-05-01 04:00:00     691920         19.52         12.77         1.86   \n..                  ...        ...           ...           ...          ...   \n739 2022-05-31 19:00:00      56520         -0.13          0.06         0.68   \n740 2022-05-31 20:00:00      49680         -0.14          0.08         0.67   \n741 2022-05-31 21:00:00      47160         -0.15          0.07         0.68   \n742 2022-05-31 22:00:00      44280         -0.15          0.03         0.67   \n743 2022-05-31 23:00:00      38880         -0.15          0.01         0.66   \n\n     含氧量（%）  温度（℃）  烟气湿度（%）  烟气流速（m/s）    状态        days  \n0       8.2   51.5      8.8       8.61  正常运行  2022-05-01  \n1       8.3   52.4      9.5       8.83  正常运行  2022-05-01  \n2       8.6   51.9      9.4       8.43  正常运行  2022-05-01  \n3       8.6   51.5      9.4       8.46  正常运行  2022-05-01  \n4       8.8   51.2      9.2       8.47  正常运行  2022-05-01  \n..      ...    ...      ...        ...   ...         ...  \n739    19.8   29.8      0.8       0.59    停运  2022-05-31  \n740    20.0   29.4      0.7       0.52    停运  2022-05-31  \n741    20.0   28.9      0.5       0.49    停运  2022-05-31  \n742    20.0   28.4      0.4       0.46    停运  2022-05-31  \n743    20.0   27.9      0.2       0.40    停运  2022-05-31  \n\n[744 rows x 11 columns]",
      "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>date</th>\n      <th>流量 （m3/h）</th>\n      <th>NOx浓度(mg/m3)</th>\n      <th>SO2浓度(mg/m3)</th>\n      <th>烟尘浓度(mg/m3)</th>\n      <th>含氧量（%）</th>\n      <th>温度（℃）</th>\n      <th>烟气湿度（%）</th>\n      <th>烟气流速（m/s）</th>\n      <th>状态</th>\n      <th>days</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>2022-05-01 00:00:00</td>\n      <td>705600</td>\n      <td>9.79</td>\n      <td>11.48</td>\n      <td>1.89</td>\n      <td>8.2</td>\n      <td>51.5</td>\n      <td>8.8</td>\n      <td>8.61</td>\n      <td>正常运行</td>\n      <td>2022-05-01</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2022-05-01 01:00:00</td>\n      <td>716760</td>\n      <td>14.68</td>\n      <td>14.25</td>\n      <td>1.87</td>\n      <td>8.3</td>\n      <td>52.4</td>\n      <td>9.5</td>\n      <td>8.83</td>\n      <td>正常运行</td>\n      <td>2022-05-01</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>2022-05-01 02:00:00</td>\n      <td>685080</td>\n      <td>12.44</td>\n      <td>11.01</td>\n      <td>1.92</td>\n      <td>8.6</td>\n      <td>51.9</td>\n      <td>9.4</td>\n      <td>8.43</td>\n      <td>正常运行</td>\n      <td>2022-05-01</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>2022-05-01 03:00:00</td>\n      <td>687960</td>\n      <td>16.18</td>\n      <td>12.24</td>\n      <td>1.91</td>\n      <td>8.6</td>\n      <td>51.5</td>\n      <td>9.4</td>\n      <td>8.46</td>\n      <td>正常运行</td>\n      <td>2022-05-01</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>2022-05-01 04:00:00</td>\n      <td>691920</td>\n      <td>19.52</td>\n      <td>12.77</td>\n      <td>1.86</td>\n      <td>8.8</td>\n      <td>51.2</td>\n      <td>9.2</td>\n      <td>8.47</td>\n      <td>正常运行</td>\n      <td>2022-05-01</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    </tr>\n    <tr>\n      <th>739</th>\n      <td>2022-05-31 19:00:00</td>\n      <td>56520</td>\n      <td>-0.13</td>\n      <td>0.06</td>\n      <td>0.68</td>\n      <td>19.8</td>\n      <td>29.8</td>\n      <td>0.8</td>\n      <td>0.59</td>\n      <td>停运</td>\n      <td>2022-05-31</td>\n    </tr>\n    <tr>\n      <th>740</th>\n      <td>2022-05-31 20:00:00</td>\n      <td>49680</td>\n      <td>-0.14</td>\n      <td>0.08</td>\n      <td>0.67</td>\n      <td>20.0</td>\n      <td>29.4</td>\n      <td>0.7</td>\n      <td>0.52</td>\n      <td>停运</td>\n      <td>2022-05-31</td>\n    </tr>\n    <tr>\n      <th>741</th>\n      <td>2022-05-31 21:00:00</td>\n      <td>47160</td>\n      <td>-0.15</td>\n      <td>0.07</td>\n      <td>0.68</td>\n      <td>20.0</td>\n      <td>28.9</td>\n      <td>0.5</td>\n      <td>0.49</td>\n      <td>停运</td>\n      <td>2022-05-31</td>\n    </tr>\n    <tr>\n      <th>742</th>\n      <td>2022-05-31 22:00:00</td>\n      <td>44280</td>\n      <td>-0.15</td>\n      <td>0.03</td>\n      <td>0.67</td>\n      <td>20.0</td>\n      <td>28.4</td>\n      <td>0.4</td>\n      <td>0.46</td>\n      <td>停运</td>\n      <td>2022-05-31</td>\n    </tr>\n    <tr>\n      <th>743</th>\n      <td>2022-05-31 23:00:00</td>\n      <td>38880</td>\n      <td>-0.15</td>\n      <td>0.01</td>\n      <td>0.66</td>\n      <td>20.0</td>\n      <td>27.9</td>\n      <td>0.2</td>\n      <td>0.40</td>\n      <td>停运</td>\n      <td>2022-05-31</td>\n    </tr>\n  </tbody>\n</table>\n<p>744 rows × 11 columns</p>\n</div>"
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "jtzh_emiss_data_1"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "outputs": [],
   "source": [
    "num_cols = jtzh_emiss_data_1.columns[1:-2]\n",
    "jtzh_emiss_daily_1 = jtzh_emiss_data_1.ffill().groupby('days')[num_cols].mean()\n",
    "jtzh_emiss_daily_1['状态'] = jtzh_emiss_data_1.ffill().groupby('days')['状态'].apply(lambda x: x.value_counts().index[0])\n",
    "jtzh_emiss_daily_1.columns = [f\"机组1_{x}\" for x in jtzh_emiss_daily_1.columns]\n",
    "\n",
    "jtzh_emiss_daily_2 = jtzh_emiss_data_2.ffill().groupby('days')[num_cols].mean()\n",
    "jtzh_emiss_daily_2['状态'] = jtzh_emiss_data_1.ffill().groupby('days')['状态'].apply(lambda x: x.value_counts().index[0])\n",
    "jtzh_emiss_daily_2.columns = [f\"机组2_{x}\" for x in jtzh_emiss_daily_2.columns]"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "outputs": [
    {
     "data": {
      "text/plain": "            机组1_流量 （m3/h）  机组1_NOx浓度(mg/m3)  机组1_SO2浓度(mg/m3)  \\\ndays                                                            \n2022-05-01       820965.0         12.952083         12.856250   \n2022-05-02       907380.0         14.641667         11.846250   \n2022-05-03       771360.0         14.414167         12.434167   \n2022-05-04       780390.0         14.922500         12.910417   \n2022-05-05       870075.0         14.102917         13.716667   \n2022-05-06       816300.0         14.321667         14.458750   \n2022-05-07       804405.0         16.310833         13.279583   \n2022-05-08       845610.0         18.585417         13.300417   \n2022-05-09        26370.0          6.152083          0.403750   \n2022-05-10       269970.0         -0.208333          0.264583   \n2022-05-11       163470.0         -0.147917          0.288333   \n2022-05-12        27720.0         -0.182083          0.225417   \n2022-05-13        50760.0         -0.140833          0.102917   \n2022-05-14        48540.0         -0.112500          0.052083   \n2022-05-15       602865.0         85.984583          6.295833   \n2022-05-16       912705.0         14.561250         13.784583   \n2022-05-17       816165.0         13.918333         12.802083   \n2022-05-18       892620.0         14.547083         13.451250   \n2022-05-19       904860.0         15.437083         13.886250   \n2022-05-20       906690.0         13.552917         13.295000   \n2022-05-21       931575.0         16.459583         11.678333   \n2022-05-22       891885.0         15.156250         13.014167   \n2022-05-23      1000560.0         14.451667         13.710833   \n2022-05-24       921300.0         13.775000         12.157083   \n2022-05-25       867765.0         15.344167         12.987083   \n2022-05-26       902100.0         14.439167         13.062917   \n2022-05-27       865320.0         14.760000         12.725417   \n2022-05-28       925965.0         15.012917         14.615833   \n2022-05-29       861255.0         14.035000         12.818750   \n2022-05-30        71640.0          0.266667          0.770417   \n2022-05-31        53550.0         -0.043333          0.085417   \n\n            机组1_烟尘浓度(mg/m3)  机组1_含氧量（%）  机组1_温度（℃）  机组1_烟气湿度（%）  \\\ndays                                                              \n2022-05-01         1.787500    7.795833  52.320833     9.204167   \n2022-05-02         1.717917    7.295833  53.145833     9.016667   \n2022-05-03         1.850833    7.650000  51.841667     8.750000   \n2022-05-04         1.922083    7.462500  51.808333     8.495833   \n2022-05-05         1.981667    7.195833  52.354167     8.725000   \n2022-05-06         1.729583    7.433333  51.462500     8.858333   \n2022-05-07         1.837917    7.333333  51.025000     8.595833   \n2022-05-08         1.906667    7.862500  51.854167     9.483333   \n2022-05-09         0.651250   19.887500  34.925000     2.458333   \n2022-05-10         1.107500   19.912500  32.612500     0.000000   \n2022-05-11         1.262083   20.100000  22.850000     0.000000   \n2022-05-12         0.636667   20.216667  19.625000     0.000000   \n2022-05-13         0.629583   20.270833  18.637500     0.000000   \n2022-05-14         0.626667   20.237500  21.245833     0.345833   \n2022-05-15         1.590833   13.391667  39.200000     4.379167   \n2022-05-16         1.407500    7.279167  53.104167     9.058333   \n2022-05-17         1.493333    7.700000  53.766667     9.658333   \n2022-05-18         1.721667    7.141667  52.816667     8.712500   \n2022-05-19         1.705833    7.012500  52.487500     7.966667   \n2022-05-20         1.815417    7.041667  53.208333     8.454167   \n2022-05-21         1.968750    7.241667  53.270833     7.487500   \n2022-05-22         1.800000    7.120833  52.929167     8.608333   \n2022-05-23         2.156667    6.716667  53.529167     8.504167   \n2022-05-24         2.155833    7.191667  53.195833     8.562500   \n2022-05-25         1.666250    7.337500  52.162500     8.283333   \n2022-05-26         1.760833    7.245833  52.087500     8.283333   \n2022-05-27         1.699167    7.358333  52.287500     8.270833   \n2022-05-28         1.708750    7.170833  53.245833     8.679167   \n2022-05-29         1.580000    7.470833  53.304167     8.891667   \n2022-05-30         0.662500   19.554167  39.675000     3.845833   \n2022-05-31         0.663750   19.941667  28.033333     0.454167   \n\n            机组1_烟气流速（m/s） 机组1_状态  \ndays                              \n2022-05-01      10.088750   正常运行  \n2022-05-02      11.147917   正常运行  \n2022-05-03       9.415417   正常运行  \n2022-05-04       9.496250   正常运行  \n2022-05-05      10.636667   正常运行  \n2022-05-06       9.971667   正常运行  \n2022-05-07       9.781667   正常运行  \n2022-05-08      10.417500   正常运行  \n2022-05-09       0.285000     停运  \n2022-05-10       2.819583     停运  \n2022-05-11       1.665833     停运  \n2022-05-12       0.277917     停运  \n2022-05-13       0.507083     停运  \n2022-05-14       0.490417     停运  \n2022-05-15       6.872500     停运  \n2022-05-16      11.232917   正常运行  \n2022-05-17      10.111250   正常运行  \n2022-05-18      10.920833   正常运行  \n2022-05-19      10.968333   正常运行  \n2022-05-20      11.080417   正常运行  \n2022-05-21      11.228333   正常运行  \n2022-05-22      10.908750   正常运行  \n2022-05-23      12.238333   正常运行  \n2022-05-24      11.273333   正常运行  \n2022-05-25      10.549167   正常运行  \n2022-05-26      10.967083   正常运行  \n2022-05-27      10.518750   正常运行  \n2022-05-28      11.337917   正常运行  \n2022-05-29      10.572083   正常运行  \n2022-05-30       0.811667     停运  \n2022-05-31       0.556667     停运  ",
      "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>机组1_流量 （m3/h）</th>\n      <th>机组1_NOx浓度(mg/m3)</th>\n      <th>机组1_SO2浓度(mg/m3)</th>\n      <th>机组1_烟尘浓度(mg/m3)</th>\n      <th>机组1_含氧量（%）</th>\n      <th>机组1_温度（℃）</th>\n      <th>机组1_烟气湿度（%）</th>\n      <th>机组1_烟气流速（m/s）</th>\n      <th>机组1_状态</th>\n    </tr>\n    <tr>\n      <th>days</th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n      <th></th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>2022-05-01</th>\n      <td>820965.0</td>\n      <td>12.952083</td>\n      <td>12.856250</td>\n      <td>1.787500</td>\n      <td>7.795833</td>\n      <td>52.320833</td>\n      <td>9.204167</td>\n      <td>10.088750</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-05-02</th>\n      <td>907380.0</td>\n      <td>14.641667</td>\n      <td>11.846250</td>\n      <td>1.717917</td>\n      <td>7.295833</td>\n      <td>53.145833</td>\n      <td>9.016667</td>\n      <td>11.147917</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-05-03</th>\n      <td>771360.0</td>\n      <td>14.414167</td>\n      <td>12.434167</td>\n      <td>1.850833</td>\n      <td>7.650000</td>\n      <td>51.841667</td>\n      <td>8.750000</td>\n      <td>9.415417</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-05-04</th>\n      <td>780390.0</td>\n      <td>14.922500</td>\n      <td>12.910417</td>\n      <td>1.922083</td>\n      <td>7.462500</td>\n      <td>51.808333</td>\n      <td>8.495833</td>\n      <td>9.496250</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-05-05</th>\n      <td>870075.0</td>\n      <td>14.102917</td>\n      <td>13.716667</td>\n      <td>1.981667</td>\n      <td>7.195833</td>\n      <td>52.354167</td>\n      <td>8.725000</td>\n      <td>10.636667</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-05-06</th>\n      <td>816300.0</td>\n      <td>14.321667</td>\n      <td>14.458750</td>\n      <td>1.729583</td>\n      <td>7.433333</td>\n      <td>51.462500</td>\n      <td>8.858333</td>\n      <td>9.971667</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-05-07</th>\n      <td>804405.0</td>\n      <td>16.310833</td>\n      <td>13.279583</td>\n      <td>1.837917</td>\n      <td>7.333333</td>\n      <td>51.025000</td>\n      <td>8.595833</td>\n      <td>9.781667</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-05-08</th>\n      <td>845610.0</td>\n      <td>18.585417</td>\n      <td>13.300417</td>\n      <td>1.906667</td>\n      <td>7.862500</td>\n      <td>51.854167</td>\n      <td>9.483333</td>\n      <td>10.417500</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-05-09</th>\n      <td>26370.0</td>\n      <td>6.152083</td>\n      <td>0.403750</td>\n      <td>0.651250</td>\n      <td>19.887500</td>\n      <td>34.925000</td>\n      <td>2.458333</td>\n      <td>0.285000</td>\n      <td>停运</td>\n    </tr>\n    <tr>\n      <th>2022-05-10</th>\n      <td>269970.0</td>\n      <td>-0.208333</td>\n      <td>0.264583</td>\n      <td>1.107500</td>\n      <td>19.912500</td>\n      <td>32.612500</td>\n      <td>0.000000</td>\n      <td>2.819583</td>\n      <td>停运</td>\n    </tr>\n    <tr>\n      <th>2022-05-11</th>\n      <td>163470.0</td>\n      <td>-0.147917</td>\n      <td>0.288333</td>\n      <td>1.262083</td>\n      <td>20.100000</td>\n      <td>22.850000</td>\n      <td>0.000000</td>\n      <td>1.665833</td>\n      <td>停运</td>\n    </tr>\n    <tr>\n      <th>2022-05-12</th>\n      <td>27720.0</td>\n      <td>-0.182083</td>\n      <td>0.225417</td>\n      <td>0.636667</td>\n      <td>20.216667</td>\n      <td>19.625000</td>\n      <td>0.000000</td>\n      <td>0.277917</td>\n      <td>停运</td>\n    </tr>\n    <tr>\n      <th>2022-05-13</th>\n      <td>50760.0</td>\n      <td>-0.140833</td>\n      <td>0.102917</td>\n      <td>0.629583</td>\n      <td>20.270833</td>\n      <td>18.637500</td>\n      <td>0.000000</td>\n      <td>0.507083</td>\n      <td>停运</td>\n    </tr>\n    <tr>\n      <th>2022-05-14</th>\n      <td>48540.0</td>\n      <td>-0.112500</td>\n      <td>0.052083</td>\n      <td>0.626667</td>\n      <td>20.237500</td>\n      <td>21.245833</td>\n      <td>0.345833</td>\n      <td>0.490417</td>\n      <td>停运</td>\n    </tr>\n    <tr>\n      <th>2022-05-15</th>\n      <td>602865.0</td>\n      <td>85.984583</td>\n      <td>6.295833</td>\n      <td>1.590833</td>\n      <td>13.391667</td>\n      <td>39.200000</td>\n      <td>4.379167</td>\n      <td>6.872500</td>\n      <td>停运</td>\n    </tr>\n    <tr>\n      <th>2022-05-16</th>\n      <td>912705.0</td>\n      <td>14.561250</td>\n      <td>13.784583</td>\n      <td>1.407500</td>\n      <td>7.279167</td>\n      <td>53.104167</td>\n      <td>9.058333</td>\n      <td>11.232917</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-05-17</th>\n      <td>816165.0</td>\n      <td>13.918333</td>\n      <td>12.802083</td>\n      <td>1.493333</td>\n      <td>7.700000</td>\n      <td>53.766667</td>\n      <td>9.658333</td>\n      <td>10.111250</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-05-18</th>\n      <td>892620.0</td>\n      <td>14.547083</td>\n      <td>13.451250</td>\n      <td>1.721667</td>\n      <td>7.141667</td>\n      <td>52.816667</td>\n      <td>8.712500</td>\n      <td>10.920833</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-05-19</th>\n      <td>904860.0</td>\n      <td>15.437083</td>\n      <td>13.886250</td>\n      <td>1.705833</td>\n      <td>7.012500</td>\n      <td>52.487500</td>\n      <td>7.966667</td>\n      <td>10.968333</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-05-20</th>\n      <td>906690.0</td>\n      <td>13.552917</td>\n      <td>13.295000</td>\n      <td>1.815417</td>\n      <td>7.041667</td>\n      <td>53.208333</td>\n      <td>8.454167</td>\n      <td>11.080417</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-05-21</th>\n      <td>931575.0</td>\n      <td>16.459583</td>\n      <td>11.678333</td>\n      <td>1.968750</td>\n      <td>7.241667</td>\n      <td>53.270833</td>\n      <td>7.487500</td>\n      <td>11.228333</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-05-22</th>\n      <td>891885.0</td>\n      <td>15.156250</td>\n      <td>13.014167</td>\n      <td>1.800000</td>\n      <td>7.120833</td>\n      <td>52.929167</td>\n      <td>8.608333</td>\n      <td>10.908750</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-05-23</th>\n      <td>1000560.0</td>\n      <td>14.451667</td>\n      <td>13.710833</td>\n      <td>2.156667</td>\n      <td>6.716667</td>\n      <td>53.529167</td>\n      <td>8.504167</td>\n      <td>12.238333</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-05-24</th>\n      <td>921300.0</td>\n      <td>13.775000</td>\n      <td>12.157083</td>\n      <td>2.155833</td>\n      <td>7.191667</td>\n      <td>53.195833</td>\n      <td>8.562500</td>\n      <td>11.273333</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-05-25</th>\n      <td>867765.0</td>\n      <td>15.344167</td>\n      <td>12.987083</td>\n      <td>1.666250</td>\n      <td>7.337500</td>\n      <td>52.162500</td>\n      <td>8.283333</td>\n      <td>10.549167</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-05-26</th>\n      <td>902100.0</td>\n      <td>14.439167</td>\n      <td>13.062917</td>\n      <td>1.760833</td>\n      <td>7.245833</td>\n      <td>52.087500</td>\n      <td>8.283333</td>\n      <td>10.967083</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-05-27</th>\n      <td>865320.0</td>\n      <td>14.760000</td>\n      <td>12.725417</td>\n      <td>1.699167</td>\n      <td>7.358333</td>\n      <td>52.287500</td>\n      <td>8.270833</td>\n      <td>10.518750</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-05-28</th>\n      <td>925965.0</td>\n      <td>15.012917</td>\n      <td>14.615833</td>\n      <td>1.708750</td>\n      <td>7.170833</td>\n      <td>53.245833</td>\n      <td>8.679167</td>\n      <td>11.337917</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-05-29</th>\n      <td>861255.0</td>\n      <td>14.035000</td>\n      <td>12.818750</td>\n      <td>1.580000</td>\n      <td>7.470833</td>\n      <td>53.304167</td>\n      <td>8.891667</td>\n      <td>10.572083</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-05-30</th>\n      <td>71640.0</td>\n      <td>0.266667</td>\n      <td>0.770417</td>\n      <td>0.662500</td>\n      <td>19.554167</td>\n      <td>39.675000</td>\n      <td>3.845833</td>\n      <td>0.811667</td>\n      <td>停运</td>\n    </tr>\n    <tr>\n      <th>2022-05-31</th>\n      <td>53550.0</td>\n      <td>-0.043333</td>\n      <td>0.085417</td>\n      <td>0.663750</td>\n      <td>19.941667</td>\n      <td>28.033333</td>\n      <td>0.454167</td>\n      <td>0.556667</td>\n      <td>停运</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "jtzh_emiss_daily_1"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "outputs": [],
   "source": [
    "jtzh_daily_data['企业名称'] = \"建投遵化热电有限责任公司\"\n",
    "jtzh_save_data = pd.concat([jtzh_daily_data, jtzh_emiss_daily_1, jtzh_emiss_daily_2], axis=1)"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "outputs": [
    {
     "data": {
      "text/plain": "            发电量_1（万千瓦时）  供热量_1（吉焦）  燃料消耗量_1（吨）  发电量_2（万千瓦时）  供热量_2（吉焦）  \\\n2022-05-01      444.630          0        1889        0.000          0   \n2022-05-02      516.594          0        2622        0.000          0   \n2022-05-03      410.316          0        2233        0.000          0   \n2022-05-04      421.908          0        2203        0.000          0   \n2022-05-05      486.318          0        2524        0.000          0   \n2022-05-06      457.542          0        2343        0.000          0   \n2022-05-07      451.140          0        2278        0.000          0   \n2022-05-08      484.986          0        1120      218.196          0   \n2022-05-09        0.000          0           0      444.756          0   \n2022-05-10        0.000          0           0      552.114          0   \n2022-05-11        0.000          0           0      481.542          0   \n2022-05-12        0.000          0           0      439.788          0   \n2022-05-13        0.000          0           0      495.702          0   \n2022-05-14        0.000          0         121      486.624          0   \n2022-05-15      159.936          0        2251      460.524          0   \n2022-05-16      516.192          0        2543      505.578          0   \n2022-05-17      432.300          0        2432      432.450          0   \n2022-05-18      508.680          0        2810      509.586          0   \n2022-05-19      516.066          0        2972      514.404          0   \n2022-05-20      517.356          0        2623      514.434          0   \n2022-05-21      521.454          0        2759      520.626          0   \n2022-05-22      504.798          0        2545      500.040          0   \n2022-05-23      587.400          0        3294      584.886          0   \n2022-05-24      515.964          0        2633      514.488          0   \n2022-05-25      485.346          0        2694      486.474          0   \n2022-05-26      503.502          0        2619      501.366          0   \n2022-05-27      470.340          0        2510      467.106          0   \n2022-05-28      508.644          0        2753      504.900          0   \n2022-05-29      460.536          0        1163      462.822          0   \n2022-05-30        8.610          0           0      528.960          0   \n2022-05-31        0.000          0           0      672.180          0   \n\n            燃料消耗量_2（吨）          企业名称  机组1_流量 （m3/h）  机组1_NOx浓度(mg/m3)  \\\n2022-05-01           0  建投遵化热电有限责任公司       820965.0         12.952083   \n2022-05-02           0  建投遵化热电有限责任公司       907380.0         14.641667   \n2022-05-03           0  建投遵化热电有限责任公司       771360.0         14.414167   \n2022-05-04           0  建投遵化热电有限责任公司       780390.0         14.922500   \n2022-05-05           0  建投遵化热电有限责任公司       870075.0         14.102917   \n2022-05-06           0  建投遵化热电有限责任公司       816300.0         14.321667   \n2022-05-07         426  建投遵化热电有限责任公司       804405.0         16.310833   \n2022-05-08        1873  建投遵化热电有限责任公司       845610.0         18.585417   \n2022-05-09        2350  建投遵化热电有限责任公司        26370.0          6.152083   \n2022-05-10        2636  建投遵化热电有限责任公司       269970.0         -0.208333   \n2022-05-11        2432  建投遵化热电有限责任公司       163470.0         -0.147917   \n2022-05-12        2099  建投遵化热电有限责任公司        27720.0         -0.182083   \n2022-05-13        2340  建投遵化热电有限责任公司        50760.0         -0.140833   \n2022-05-14        2737  建投遵化热电有限责任公司        48540.0         -0.112500   \n2022-05-15        2461  建投遵化热电有限责任公司       602865.0         85.984583   \n2022-05-16        2615  建投遵化热电有限责任公司       912705.0         14.561250   \n2022-05-17        2593  建投遵化热电有限责任公司       816165.0         13.918333   \n2022-05-18        2871  建投遵化热电有限责任公司       892620.0         14.547083   \n2022-05-19        2637  建投遵化热电有限责任公司       904860.0         15.437083   \n2022-05-20        2682  建投遵化热电有限责任公司       906690.0         13.552917   \n2022-05-21        2581  建投遵化热电有限责任公司       931575.0         16.459583   \n2022-05-22        2632  建投遵化热电有限责任公司       891885.0         15.156250   \n2022-05-23        3187  建投遵化热电有限责任公司      1000560.0         14.451667   \n2022-05-24        2719  建投遵化热电有限责任公司       921300.0         13.775000   \n2022-05-25        2599  建投遵化热电有限责任公司       867765.0         15.344167   \n2022-05-26        2794  建投遵化热电有限责任公司       902100.0         14.439167   \n2022-05-27        2401  建投遵化热电有限责任公司       865320.0         14.760000   \n2022-05-28        2611  建投遵化热电有限责任公司       925965.0         15.012917   \n2022-05-29        2846  建投遵化热电有限责任公司       861255.0         14.035000   \n2022-05-30        2981  建投遵化热电有限责任公司        71640.0          0.266667   \n2022-05-31        3560  建投遵化热电有限责任公司        53550.0         -0.043333   \n\n            机组1_SO2浓度(mg/m3)  ...  机组1_状态  机组2_流量 （m3/h）  机组2_NOx浓度(mg/m3)  \\\n2022-05-01         12.856250  ...    正常运行        64290.0          0.169583   \n2022-05-02         11.846250  ...    正常运行        71235.0          0.143333   \n2022-05-03         12.434167  ...    正常运行        71370.0          1.227500   \n2022-05-04         12.910417  ...    正常运行        73785.0          0.134583   \n2022-05-05         13.716667  ...    正常运行        73605.0          0.075417   \n2022-05-06         14.458750  ...    正常运行        59610.0          0.082083   \n2022-05-07         13.279583  ...    正常运行       128505.0         16.567917   \n2022-05-08         13.300417  ...    正常运行       676485.0        135.337500   \n2022-05-09          0.403750  ...      停运       768375.0         14.072500   \n2022-05-10          0.264583  ...      停运       892770.0         14.628750   \n2022-05-11          0.288333  ...      停运       806250.0         15.005000   \n2022-05-12          0.225417  ...      停运       757695.0         15.691667   \n2022-05-13          0.102917  ...      停运       823410.0         14.090000   \n2022-05-14          0.052083  ...      停运       816600.0         15.875000   \n2022-05-15          6.295833  ...      停运       808785.0         14.118750   \n2022-05-16         13.784583  ...    正常运行       861765.0         15.751250   \n2022-05-17         12.802083  ...    正常运行       792225.0         13.562917   \n2022-05-18         13.451250  ...    正常运行       866895.0         14.520417   \n2022-05-19         13.886250  ...    正常运行       871455.0         14.498333   \n2022-05-20         13.295000  ...    正常运行       862005.0         13.764167   \n2022-05-21         11.678333  ...    正常运行       898170.0         15.342500   \n2022-05-22         13.014167  ...    正常运行       866460.0         16.112083   \n2022-05-23         13.710833  ...    正常运行       974625.0         16.114583   \n2022-05-24         12.157083  ...    正常运行       894960.0         14.147917   \n2022-05-25         12.987083  ...    正常运行       854205.0         15.225417   \n2022-05-26         13.062917  ...    正常运行       874425.0         15.542083   \n2022-05-27         12.725417  ...    正常运行       836100.0         14.040417   \n2022-05-28         14.615833  ...    正常运行       895515.0         15.555833   \n2022-05-29         12.818750  ...    正常运行       837945.0         15.120833   \n2022-05-30          0.770417  ...      停运       915030.0         15.763750   \n2022-05-31          0.085417  ...      停运       992220.0         17.718333   \n\n            机组2_SO2浓度(mg/m3)  机组2_烟尘浓度(mg/m3) 机组2_含氧量（%）  机组2_温度（℃）  \\\n2022-05-01         -1.430417         0.210833  20.512500  13.150000   \n2022-05-02         -1.401250         0.211667  20.416667  15.525000   \n2022-05-03         -1.264167         0.218333  19.479167  22.129167   \n2022-05-04         -1.037500         0.214167  20.095833  26.258333   \n2022-05-05         -0.920417         0.212083  20.150000  23.062500   \n2022-05-06         -0.922083         0.210833  20.308333  15.370833   \n2022-05-07         -0.578333         0.481667  19.883333  17.375000   \n2022-05-08          7.194583         1.159583  10.775000  35.941667   \n2022-05-09         14.240000         0.990417   7.158333  44.408333   \n2022-05-10         14.722083         1.354167   6.433333  44.408333   \n2022-05-11         14.337500         1.321250   6.629167  43.937500   \n2022-05-12         13.880833         1.195833   6.604167  43.604167   \n2022-05-13         13.739583         1.269583   6.254167  43.504167   \n2022-05-14         13.857917         1.365833   6.375000  44.533333   \n2022-05-15         14.242917         1.252500   6.437500  44.541667   \n2022-05-16         14.907500         1.249583   6.450000  45.491667   \n2022-05-17         14.112083         1.308333   6.983333  46.116667   \n2022-05-18         13.890417         1.287917   6.391667  44.933333   \n2022-05-19         15.750417         1.176250   6.395833  44.466667   \n2022-05-20         15.565417         1.099583   6.225000  45.175000   \n2022-05-21         13.702083         1.205833   6.458333  45.204167   \n2022-05-22         14.662917         1.146250   6.337500  45.016667   \n2022-05-23         15.273750         1.201667   5.845833  45.633333   \n2022-05-24         13.437500         1.277083   6.166667  45.575000   \n2022-05-25         14.508750         1.211250   6.295833  44.412500   \n2022-05-26         15.649583         1.173750   6.237500  44.458333   \n2022-05-27         13.172083         1.220417   6.329167  44.741667   \n2022-05-28         14.915417         1.305833   6.183333  45.587500   \n2022-05-29         13.484583         1.341667   6.425000  45.545833   \n2022-05-30         15.673750         1.416667   6.162500  45.175000   \n2022-05-31         16.058750         1.567083   5.570833  46.100000   \n\n            机组2_烟气湿度（%）  机组2_烟气流速（m/s）  机组2_状态  \n2022-05-01     0.000000       0.630417    正常运行  \n2022-05-02     0.000000       0.704583    正常运行  \n2022-05-03     0.200000       0.722917    正常运行  \n2022-05-04     0.016667       0.757500    正常运行  \n2022-05-05     0.212500       0.750000    正常运行  \n2022-05-06     0.000000       0.590417    正常运行  \n2022-05-07     0.104167       1.297083    正常运行  \n2022-05-08     6.804167       7.757917    正常运行  \n2022-05-09    11.366667       9.436250      停运  \n2022-05-10    11.441667      10.987083      停运  \n2022-05-11    10.600000       9.805833      停运  \n2022-05-12    10.866667       9.228333      停运  \n2022-05-13    10.720833      10.015833      停运  \n2022-05-14    11.595833      10.068750      停运  \n2022-05-15    11.550000       9.954583      停运  \n2022-05-16    12.154167      10.716250    正常运行  \n2022-05-17    12.208333       9.870833    正常运行  \n2022-05-18    11.258333      10.660833    正常运行  \n2022-05-19    11.366667      10.697083    正常运行  \n2022-05-20    11.695833      10.653333    正常运行  \n2022-05-21     9.837500      10.888750    正常运行  \n2022-05-22    10.062500      10.512083    正常运行  \n2022-05-23     9.937500      11.813750    正常运行  \n2022-05-24     9.408333      10.788750    正常运行  \n2022-05-25     8.583333      10.172083    正常运行  \n2022-05-26     8.741667      10.432917    正常运行  \n2022-05-27     8.937500       9.993750    正常运行  \n2022-05-28     9.491667      10.801250    正常运行  \n2022-05-29     9.350000      10.090000    正常运行  \n2022-05-30     9.208333      11.002083      停运  \n2022-05-31     9.641667      12.008333      停运  \n\n[31 rows x 25 columns]",
      "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>发电量_1（万千瓦时）</th>\n      <th>供热量_1（吉焦）</th>\n      <th>燃料消耗量_1（吨）</th>\n      <th>发电量_2（万千瓦时）</th>\n      <th>供热量_2（吉焦）</th>\n      <th>燃料消耗量_2（吨）</th>\n      <th>企业名称</th>\n      <th>机组1_流量 （m3/h）</th>\n      <th>机组1_NOx浓度(mg/m3)</th>\n      <th>机组1_SO2浓度(mg/m3)</th>\n      <th>...</th>\n      <th>机组1_状态</th>\n      <th>机组2_流量 （m3/h）</th>\n      <th>机组2_NOx浓度(mg/m3)</th>\n      <th>机组2_SO2浓度(mg/m3)</th>\n      <th>机组2_烟尘浓度(mg/m3)</th>\n      <th>机组2_含氧量（%）</th>\n      <th>机组2_温度（℃）</th>\n      <th>机组2_烟气湿度（%）</th>\n      <th>机组2_烟气流速（m/s）</th>\n      <th>机组2_状态</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>2022-05-01</th>\n      <td>444.630</td>\n      <td>0</td>\n      <td>1889</td>\n      <td>0.000</td>\n      <td>0</td>\n      <td>0</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>820965.0</td>\n      <td>12.952083</td>\n      <td>12.856250</td>\n      <td>...</td>\n      <td>正常运行</td>\n      <td>64290.0</td>\n      <td>0.169583</td>\n      <td>-1.430417</td>\n      <td>0.210833</td>\n      <td>20.512500</td>\n      <td>13.150000</td>\n      <td>0.000000</td>\n      <td>0.630417</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-05-02</th>\n      <td>516.594</td>\n      <td>0</td>\n      <td>2622</td>\n      <td>0.000</td>\n      <td>0</td>\n      <td>0</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>907380.0</td>\n      <td>14.641667</td>\n      <td>11.846250</td>\n      <td>...</td>\n      <td>正常运行</td>\n      <td>71235.0</td>\n      <td>0.143333</td>\n      <td>-1.401250</td>\n      <td>0.211667</td>\n      <td>20.416667</td>\n      <td>15.525000</td>\n      <td>0.000000</td>\n      <td>0.704583</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-05-03</th>\n      <td>410.316</td>\n      <td>0</td>\n      <td>2233</td>\n      <td>0.000</td>\n      <td>0</td>\n      <td>0</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>771360.0</td>\n      <td>14.414167</td>\n      <td>12.434167</td>\n      <td>...</td>\n      <td>正常运行</td>\n      <td>71370.0</td>\n      <td>1.227500</td>\n      <td>-1.264167</td>\n      <td>0.218333</td>\n      <td>19.479167</td>\n      <td>22.129167</td>\n      <td>0.200000</td>\n      <td>0.722917</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-05-04</th>\n      <td>421.908</td>\n      <td>0</td>\n      <td>2203</td>\n      <td>0.000</td>\n      <td>0</td>\n      <td>0</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>780390.0</td>\n      <td>14.922500</td>\n      <td>12.910417</td>\n      <td>...</td>\n      <td>正常运行</td>\n      <td>73785.0</td>\n      <td>0.134583</td>\n      <td>-1.037500</td>\n      <td>0.214167</td>\n      <td>20.095833</td>\n      <td>26.258333</td>\n      <td>0.016667</td>\n      <td>0.757500</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-05-05</th>\n      <td>486.318</td>\n      <td>0</td>\n      <td>2524</td>\n      <td>0.000</td>\n      <td>0</td>\n      <td>0</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>870075.0</td>\n      <td>14.102917</td>\n      <td>13.716667</td>\n      <td>...</td>\n      <td>正常运行</td>\n      <td>73605.0</td>\n      <td>0.075417</td>\n      <td>-0.920417</td>\n      <td>0.212083</td>\n      <td>20.150000</td>\n      <td>23.062500</td>\n      <td>0.212500</td>\n      <td>0.750000</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-05-06</th>\n      <td>457.542</td>\n      <td>0</td>\n      <td>2343</td>\n      <td>0.000</td>\n      <td>0</td>\n      <td>0</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>816300.0</td>\n      <td>14.321667</td>\n      <td>14.458750</td>\n      <td>...</td>\n      <td>正常运行</td>\n      <td>59610.0</td>\n      <td>0.082083</td>\n      <td>-0.922083</td>\n      <td>0.210833</td>\n      <td>20.308333</td>\n      <td>15.370833</td>\n      <td>0.000000</td>\n      <td>0.590417</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-05-07</th>\n      <td>451.140</td>\n      <td>0</td>\n      <td>2278</td>\n      <td>0.000</td>\n      <td>0</td>\n      <td>426</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>804405.0</td>\n      <td>16.310833</td>\n      <td>13.279583</td>\n      <td>...</td>\n      <td>正常运行</td>\n      <td>128505.0</td>\n      <td>16.567917</td>\n      <td>-0.578333</td>\n      <td>0.481667</td>\n      <td>19.883333</td>\n      <td>17.375000</td>\n      <td>0.104167</td>\n      <td>1.297083</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-05-08</th>\n      <td>484.986</td>\n      <td>0</td>\n      <td>1120</td>\n      <td>218.196</td>\n      <td>0</td>\n      <td>1873</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>845610.0</td>\n      <td>18.585417</td>\n      <td>13.300417</td>\n      <td>...</td>\n      <td>正常运行</td>\n      <td>676485.0</td>\n      <td>135.337500</td>\n      <td>7.194583</td>\n      <td>1.159583</td>\n      <td>10.775000</td>\n      <td>35.941667</td>\n      <td>6.804167</td>\n      <td>7.757917</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-05-09</th>\n      <td>0.000</td>\n      <td>0</td>\n      <td>0</td>\n      <td>444.756</td>\n      <td>0</td>\n      <td>2350</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>26370.0</td>\n      <td>6.152083</td>\n      <td>0.403750</td>\n      <td>...</td>\n      <td>停运</td>\n      <td>768375.0</td>\n      <td>14.072500</td>\n      <td>14.240000</td>\n      <td>0.990417</td>\n      <td>7.158333</td>\n      <td>44.408333</td>\n      <td>11.366667</td>\n      <td>9.436250</td>\n      <td>停运</td>\n    </tr>\n    <tr>\n      <th>2022-05-10</th>\n      <td>0.000</td>\n      <td>0</td>\n      <td>0</td>\n      <td>552.114</td>\n      <td>0</td>\n      <td>2636</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>269970.0</td>\n      <td>-0.208333</td>\n      <td>0.264583</td>\n      <td>...</td>\n      <td>停运</td>\n      <td>892770.0</td>\n      <td>14.628750</td>\n      <td>14.722083</td>\n      <td>1.354167</td>\n      <td>6.433333</td>\n      <td>44.408333</td>\n      <td>11.441667</td>\n      <td>10.987083</td>\n      <td>停运</td>\n    </tr>\n    <tr>\n      <th>2022-05-11</th>\n      <td>0.000</td>\n      <td>0</td>\n      <td>0</td>\n      <td>481.542</td>\n      <td>0</td>\n      <td>2432</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>163470.0</td>\n      <td>-0.147917</td>\n      <td>0.288333</td>\n      <td>...</td>\n      <td>停运</td>\n      <td>806250.0</td>\n      <td>15.005000</td>\n      <td>14.337500</td>\n      <td>1.321250</td>\n      <td>6.629167</td>\n      <td>43.937500</td>\n      <td>10.600000</td>\n      <td>9.805833</td>\n      <td>停运</td>\n    </tr>\n    <tr>\n      <th>2022-05-12</th>\n      <td>0.000</td>\n      <td>0</td>\n      <td>0</td>\n      <td>439.788</td>\n      <td>0</td>\n      <td>2099</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>27720.0</td>\n      <td>-0.182083</td>\n      <td>0.225417</td>\n      <td>...</td>\n      <td>停运</td>\n      <td>757695.0</td>\n      <td>15.691667</td>\n      <td>13.880833</td>\n      <td>1.195833</td>\n      <td>6.604167</td>\n      <td>43.604167</td>\n      <td>10.866667</td>\n      <td>9.228333</td>\n      <td>停运</td>\n    </tr>\n    <tr>\n      <th>2022-05-13</th>\n      <td>0.000</td>\n      <td>0</td>\n      <td>0</td>\n      <td>495.702</td>\n      <td>0</td>\n      <td>2340</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>50760.0</td>\n      <td>-0.140833</td>\n      <td>0.102917</td>\n      <td>...</td>\n      <td>停运</td>\n      <td>823410.0</td>\n      <td>14.090000</td>\n      <td>13.739583</td>\n      <td>1.269583</td>\n      <td>6.254167</td>\n      <td>43.504167</td>\n      <td>10.720833</td>\n      <td>10.015833</td>\n      <td>停运</td>\n    </tr>\n    <tr>\n      <th>2022-05-14</th>\n      <td>0.000</td>\n      <td>0</td>\n      <td>121</td>\n      <td>486.624</td>\n      <td>0</td>\n      <td>2737</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>48540.0</td>\n      <td>-0.112500</td>\n      <td>0.052083</td>\n      <td>...</td>\n      <td>停运</td>\n      <td>816600.0</td>\n      <td>15.875000</td>\n      <td>13.857917</td>\n      <td>1.365833</td>\n      <td>6.375000</td>\n      <td>44.533333</td>\n      <td>11.595833</td>\n      <td>10.068750</td>\n      <td>停运</td>\n    </tr>\n    <tr>\n      <th>2022-05-15</th>\n      <td>159.936</td>\n      <td>0</td>\n      <td>2251</td>\n      <td>460.524</td>\n      <td>0</td>\n      <td>2461</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>602865.0</td>\n      <td>85.984583</td>\n      <td>6.295833</td>\n      <td>...</td>\n      <td>停运</td>\n      <td>808785.0</td>\n      <td>14.118750</td>\n      <td>14.242917</td>\n      <td>1.252500</td>\n      <td>6.437500</td>\n      <td>44.541667</td>\n      <td>11.550000</td>\n      <td>9.954583</td>\n      <td>停运</td>\n    </tr>\n    <tr>\n      <th>2022-05-16</th>\n      <td>516.192</td>\n      <td>0</td>\n      <td>2543</td>\n      <td>505.578</td>\n      <td>0</td>\n      <td>2615</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>912705.0</td>\n      <td>14.561250</td>\n      <td>13.784583</td>\n      <td>...</td>\n      <td>正常运行</td>\n      <td>861765.0</td>\n      <td>15.751250</td>\n      <td>14.907500</td>\n      <td>1.249583</td>\n      <td>6.450000</td>\n      <td>45.491667</td>\n      <td>12.154167</td>\n      <td>10.716250</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-05-17</th>\n      <td>432.300</td>\n      <td>0</td>\n      <td>2432</td>\n      <td>432.450</td>\n      <td>0</td>\n      <td>2593</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>816165.0</td>\n      <td>13.918333</td>\n      <td>12.802083</td>\n      <td>...</td>\n      <td>正常运行</td>\n      <td>792225.0</td>\n      <td>13.562917</td>\n      <td>14.112083</td>\n      <td>1.308333</td>\n      <td>6.983333</td>\n      <td>46.116667</td>\n      <td>12.208333</td>\n      <td>9.870833</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-05-18</th>\n      <td>508.680</td>\n      <td>0</td>\n      <td>2810</td>\n      <td>509.586</td>\n      <td>0</td>\n      <td>2871</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>892620.0</td>\n      <td>14.547083</td>\n      <td>13.451250</td>\n      <td>...</td>\n      <td>正常运行</td>\n      <td>866895.0</td>\n      <td>14.520417</td>\n      <td>13.890417</td>\n      <td>1.287917</td>\n      <td>6.391667</td>\n      <td>44.933333</td>\n      <td>11.258333</td>\n      <td>10.660833</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-05-19</th>\n      <td>516.066</td>\n      <td>0</td>\n      <td>2972</td>\n      <td>514.404</td>\n      <td>0</td>\n      <td>2637</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>904860.0</td>\n      <td>15.437083</td>\n      <td>13.886250</td>\n      <td>...</td>\n      <td>正常运行</td>\n      <td>871455.0</td>\n      <td>14.498333</td>\n      <td>15.750417</td>\n      <td>1.176250</td>\n      <td>6.395833</td>\n      <td>44.466667</td>\n      <td>11.366667</td>\n      <td>10.697083</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-05-20</th>\n      <td>517.356</td>\n      <td>0</td>\n      <td>2623</td>\n      <td>514.434</td>\n      <td>0</td>\n      <td>2682</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>906690.0</td>\n      <td>13.552917</td>\n      <td>13.295000</td>\n      <td>...</td>\n      <td>正常运行</td>\n      <td>862005.0</td>\n      <td>13.764167</td>\n      <td>15.565417</td>\n      <td>1.099583</td>\n      <td>6.225000</td>\n      <td>45.175000</td>\n      <td>11.695833</td>\n      <td>10.653333</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-05-21</th>\n      <td>521.454</td>\n      <td>0</td>\n      <td>2759</td>\n      <td>520.626</td>\n      <td>0</td>\n      <td>2581</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>931575.0</td>\n      <td>16.459583</td>\n      <td>11.678333</td>\n      <td>...</td>\n      <td>正常运行</td>\n      <td>898170.0</td>\n      <td>15.342500</td>\n      <td>13.702083</td>\n      <td>1.205833</td>\n      <td>6.458333</td>\n      <td>45.204167</td>\n      <td>9.837500</td>\n      <td>10.888750</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-05-22</th>\n      <td>504.798</td>\n      <td>0</td>\n      <td>2545</td>\n      <td>500.040</td>\n      <td>0</td>\n      <td>2632</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>891885.0</td>\n      <td>15.156250</td>\n      <td>13.014167</td>\n      <td>...</td>\n      <td>正常运行</td>\n      <td>866460.0</td>\n      <td>16.112083</td>\n      <td>14.662917</td>\n      <td>1.146250</td>\n      <td>6.337500</td>\n      <td>45.016667</td>\n      <td>10.062500</td>\n      <td>10.512083</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-05-23</th>\n      <td>587.400</td>\n      <td>0</td>\n      <td>3294</td>\n      <td>584.886</td>\n      <td>0</td>\n      <td>3187</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>1000560.0</td>\n      <td>14.451667</td>\n      <td>13.710833</td>\n      <td>...</td>\n      <td>正常运行</td>\n      <td>974625.0</td>\n      <td>16.114583</td>\n      <td>15.273750</td>\n      <td>1.201667</td>\n      <td>5.845833</td>\n      <td>45.633333</td>\n      <td>9.937500</td>\n      <td>11.813750</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-05-24</th>\n      <td>515.964</td>\n      <td>0</td>\n      <td>2633</td>\n      <td>514.488</td>\n      <td>0</td>\n      <td>2719</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>921300.0</td>\n      <td>13.775000</td>\n      <td>12.157083</td>\n      <td>...</td>\n      <td>正常运行</td>\n      <td>894960.0</td>\n      <td>14.147917</td>\n      <td>13.437500</td>\n      <td>1.277083</td>\n      <td>6.166667</td>\n      <td>45.575000</td>\n      <td>9.408333</td>\n      <td>10.788750</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-05-25</th>\n      <td>485.346</td>\n      <td>0</td>\n      <td>2694</td>\n      <td>486.474</td>\n      <td>0</td>\n      <td>2599</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>867765.0</td>\n      <td>15.344167</td>\n      <td>12.987083</td>\n      <td>...</td>\n      <td>正常运行</td>\n      <td>854205.0</td>\n      <td>15.225417</td>\n      <td>14.508750</td>\n      <td>1.211250</td>\n      <td>6.295833</td>\n      <td>44.412500</td>\n      <td>8.583333</td>\n      <td>10.172083</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-05-26</th>\n      <td>503.502</td>\n      <td>0</td>\n      <td>2619</td>\n      <td>501.366</td>\n      <td>0</td>\n      <td>2794</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>902100.0</td>\n      <td>14.439167</td>\n      <td>13.062917</td>\n      <td>...</td>\n      <td>正常运行</td>\n      <td>874425.0</td>\n      <td>15.542083</td>\n      <td>15.649583</td>\n      <td>1.173750</td>\n      <td>6.237500</td>\n      <td>44.458333</td>\n      <td>8.741667</td>\n      <td>10.432917</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-05-27</th>\n      <td>470.340</td>\n      <td>0</td>\n      <td>2510</td>\n      <td>467.106</td>\n      <td>0</td>\n      <td>2401</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>865320.0</td>\n      <td>14.760000</td>\n      <td>12.725417</td>\n      <td>...</td>\n      <td>正常运行</td>\n      <td>836100.0</td>\n      <td>14.040417</td>\n      <td>13.172083</td>\n      <td>1.220417</td>\n      <td>6.329167</td>\n      <td>44.741667</td>\n      <td>8.937500</td>\n      <td>9.993750</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-05-28</th>\n      <td>508.644</td>\n      <td>0</td>\n      <td>2753</td>\n      <td>504.900</td>\n      <td>0</td>\n      <td>2611</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>925965.0</td>\n      <td>15.012917</td>\n      <td>14.615833</td>\n      <td>...</td>\n      <td>正常运行</td>\n      <td>895515.0</td>\n      <td>15.555833</td>\n      <td>14.915417</td>\n      <td>1.305833</td>\n      <td>6.183333</td>\n      <td>45.587500</td>\n      <td>9.491667</td>\n      <td>10.801250</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-05-29</th>\n      <td>460.536</td>\n      <td>0</td>\n      <td>1163</td>\n      <td>462.822</td>\n      <td>0</td>\n      <td>2846</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>861255.0</td>\n      <td>14.035000</td>\n      <td>12.818750</td>\n      <td>...</td>\n      <td>正常运行</td>\n      <td>837945.0</td>\n      <td>15.120833</td>\n      <td>13.484583</td>\n      <td>1.341667</td>\n      <td>6.425000</td>\n      <td>45.545833</td>\n      <td>9.350000</td>\n      <td>10.090000</td>\n      <td>正常运行</td>\n    </tr>\n    <tr>\n      <th>2022-05-30</th>\n      <td>8.610</td>\n      <td>0</td>\n      <td>0</td>\n      <td>528.960</td>\n      <td>0</td>\n      <td>2981</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>71640.0</td>\n      <td>0.266667</td>\n      <td>0.770417</td>\n      <td>...</td>\n      <td>停运</td>\n      <td>915030.0</td>\n      <td>15.763750</td>\n      <td>15.673750</td>\n      <td>1.416667</td>\n      <td>6.162500</td>\n      <td>45.175000</td>\n      <td>9.208333</td>\n      <td>11.002083</td>\n      <td>停运</td>\n    </tr>\n    <tr>\n      <th>2022-05-31</th>\n      <td>0.000</td>\n      <td>0</td>\n      <td>0</td>\n      <td>672.180</td>\n      <td>0</td>\n      <td>3560</td>\n      <td>建投遵化热电有限责任公司</td>\n      <td>53550.0</td>\n      <td>-0.043333</td>\n      <td>0.085417</td>\n      <td>...</td>\n      <td>停运</td>\n      <td>992220.0</td>\n      <td>17.718333</td>\n      <td>16.058750</td>\n      <td>1.567083</td>\n      <td>5.570833</td>\n      <td>46.100000</td>\n      <td>9.641667</td>\n      <td>12.008333</td>\n      <td>停运</td>\n    </tr>\n  </tbody>\n</table>\n<p>31 rows × 25 columns</p>\n</div>"
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "jtzh_save_data"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "outputs": [],
   "source": [
    "writer = pd.ExcelWriter('data/电厂日数据.xlsx',engine='openpyxl')\n",
    "\n",
    "zjxz_save_data.to_excel(writer,\"浙江秀舟\")\n",
    "wxxs_save_data.to_excel(writer,\"武乡西山\")\n",
    "hddj_save_data.to_excel(writer,\"邯郸东郊\")\n",
    "jtzh_save_data.to_excel(writer,\"建投遵化\")\n",
    "\n",
    "writer.save()\n",
    "writer.close()"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": null,
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