{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "outputs": [],
   "source": [
    "import pandas as pd"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "outputs": [],
   "source": [
    "import os"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "outputs": [],
   "source": [
    "files = [x for x in os.listdir('./火电20230313/火电20230313F/') if '经济性' in x]"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "outputs": [],
   "source": [
    "plants = [x.split('-')[0].strip() for x in files]"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "outputs": [
    {
     "data": {
      "text/plain": "                  plant          经度         纬度\n0  万方发电厂（焦作爱依斯万方电力有限公司)  113.381649  35.255622\n1            三河发电有限责任公司  116.860260  39.953617\n2          上海上电漕泾发电有限公司  121.407593  30.765242\n3          上海吴泾发电有限责任公司  121.471140  31.065113\n4        上海吴泾第二发电有限责任公司  121.471340  31.062532",
      "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>plant</th>\n      <th>经度</th>\n      <th>纬度</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>万方发电厂（焦作爱依斯万方电力有限公司)</td>\n      <td>113.381649</td>\n      <td>35.255622</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>三河发电有限责任公司</td>\n      <td>116.860260</td>\n      <td>39.953617</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>上海上电漕泾发电有限公司</td>\n      <td>121.407593</td>\n      <td>30.765242</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>上海吴泾发电有限责任公司</td>\n      <td>121.471140</td>\n      <td>31.065113</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>上海吴泾第二发电有限责任公司</td>\n      <td>121.471340</td>\n      <td>31.062532</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "old_plants = pd.read_excel('./lat_lon.xlsx')\n",
    "old_plants.head()"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "outputs": [],
   "source": [
    "new_plants = [x for x in plants if x not in old_plants.plant.values]"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "outputs": [],
   "source": [
    "with open('./plant.txt', 'w', encoding='utf-8') as fw:\n",
    "    for plant in new_plants:\n",
    "        fw.write(plant)\n",
    "        fw.write('\\n')"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "outputs": [],
   "source": [],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  }
 ],
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