CoV_BI_jupyter-english.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "line 16: mode: byte\n",
      "ip test: {\n",
      "  \"args\": {}, \n",
      "  \"headers\": {\n",
      "    \"Accept\": \"text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,image/apng,*/*;q=0.8\", \n",
      "    \"Accept-Encoding\": \"gzip, deflate, br\", \n",
      "    \"Accept-Language\": \"zh-CN,zh;q=0.8\", \n",
      "    \"Cache-Control\": \"max-age=0\", \n",
      "    \"Content-Type\": \"application/x-www-form-urlencoded; charset=UTF-8\", \n",
      "    \"Host\": \"httpbin.org\", \n",
      "    \"Upgrade-Insecure-Requests\": \"1\", \n",
      "    \"User-Agent\": \"Mozilla/5.0 (Windows NT 6.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/28.0.1468.0 Safari/537.36\", \n",
      "    \"X-Amzn-Trace-Id\": \"Root=1-5e60cd4f-6784f7c4795114b47caa11f2\"\n",
      "  }, \n",
      "  \"origin\": \"34.80.224.79\", \n",
      "  \"url\": \"http://httpbin.org/get\"\n",
      "}\n",
      "\n",
      "https://view.inews.qq.com/g2/getOnsInfo?name=disease_h5&callback=\n",
      "https://view.inews.qq.com/g2/getOnsInfo?name=disease_other&callback=\n",
      "country list:['韩国', '意大利', '伊朗', '钻石号邮轮', '德国', '日本本土', '法国', '西班牙', '美国', '新加坡', '英国', '瑞士', '科威特', '挪威', '澳大利亚', '瑞典', '马来西亚', '巴林', '泰国', '加拿大', '伊拉克', '印度', '阿联酋', '冰岛', '荷兰', '奥地利', '比利时', '阿尔及利亚', '越南', '阿曼', '丹麦', '以色列', '黎巴嫩', '克罗地亚', '厄瓜多尔', '希腊', '捷克', '卡塔尔', '芬兰', '俄罗斯', '白俄罗斯', '罗马尼亚', '爱尔兰', '葡萄牙', '墨西哥', '巴基斯坦', '塞内加尔', '阿塞拜疆', '智利', '新西兰', '巴西', '格鲁吉亚', '菲律宾', '印度尼西亚', '沙特阿拉伯', '波黑', '匈牙利', '埃及', '安道尔', '尼日利亚', '阿富汗', '突尼斯', '约旦', '立陶宛', '拉脱维亚', '柬埔寨', '乌克兰', '亚美尼亚', '尼泊尔', '爱沙尼亚', '多米尼加', '波兰', '阿根廷', '摩纳哥', '北马其顿', '斯里兰卡', '斯洛文尼亚']\n",
      "foreignList:      name   date  isUpdated  confirmAdd  confirmAddCut  confirm  suspect  \\\n",
      "0      韩国  03.05       True         760              0     6088        0   \n",
      "1     意大利  03.05       True         543              0     3089        0   \n",
      "2      伊朗  03.05       True         586              0     2922        0   \n",
      "3   钻石号邮轮  03.02      False           0              0      706        0   \n",
      "4      德国  03.05       True         109              0      349        0   \n",
      "..    ...    ...        ...         ...            ...      ...      ...   \n",
      "72    阿根廷  03.04      False           0              0        1        0   \n",
      "73    摩纳哥  02.29      False           0              0        1        0   \n",
      "74   北马其顿  02.26      False           0              0        1        0   \n",
      "75   斯里兰卡  02.01      False           0              0        1        0   \n",
      "76  斯洛文尼亚  03.05       True           1              0        1        0   \n",
      "\n",
      "    dead  heal                                           children  \n",
      "0     39    31  [{'name': '大邱', 'date': '03.05', 'nameMap': 'D...  \n",
      "1    107   276  [{'name': '伦巴第', 'date': '03.05', 'nameMap': '...  \n",
      "2     92   435                                                NaN  \n",
      "3      6    10                                                NaN  \n",
      "4      0    16                                                NaN  \n",
      "..   ...   ...                                                ...  \n",
      "72     0     0                                                NaN  \n",
      "73     0     0                                                NaN  \n",
      "74     0     0                                                NaN  \n",
      "75     0     1                                                NaN  \n",
      "76     0     0                                                NaN  \n",
      "\n",
      "[77 rows x 10 columns]\n",
      "foreign_data: [('韩国', 6088), ('意大利', 3089), ('伊朗', 2922), ('钻石号邮轮', 706), ('德国', 349), ('日本本土', 331), ('法国', 285), ('西班牙', 193), ('美国', 159), ('新加坡', 112), ('英国', 87), ('瑞士', 66), ('科威特', 58), ('挪威', 56), ('澳大利亚', 53), ('瑞典', 52), ('马来西亚', 50), ('巴林', 50), ('泰国', 47), ('加拿大', 34), ('伊拉克', 31), ('印度', 29), ('阿联酋', 28), ('冰岛', 26), ('荷兰', 24), ('奥地利', 24), ('比利时', 23), ('阿尔及利亚', 17), ('越南', 16), ('阿曼', 15), ('丹麦', 15), ('以色列', 15), ('黎巴嫩', 15), ('克罗地亚', 10), ('厄瓜多尔', 10), ('希腊', 9), ('捷克', 8), ('卡塔尔', 7), ('芬兰', 7), ('俄罗斯', 7), ('白俄罗斯', 6), ('罗马尼亚', 6), ('爱尔兰', 6), ('葡萄牙', 5), ('墨西哥', 5), ('巴基斯坦', 5), ('塞内加尔', 4), ('阿塞拜疆', 3), ('智利', 3), ('新西兰', 3), ('巴西', 3), ('格鲁吉亚', 3), ('菲律宾', 3), ('印度尼西亚', 2), ('沙特阿拉伯', 2), ('波黑', 2), ('匈牙利', 2), ('埃及', 2), ('安道尔', 1), ('尼日利亚', 1), ('阿富汗', 1), ('突尼斯', 1), ('约旦', 1), ('立陶宛', 1), ('拉脱维亚', 1), ('柬埔寨', 1), ('乌克兰', 1), ('亚美尼亚', 1), ('尼泊尔', 1), ('爱沙尼亚', 1), ('多米尼加', 1), ('波兰', 1), ('阿根廷', 1), ('摩纳哥', 1), ('北马其顿', 1), ('斯里兰卡', 1), ('斯洛文尼亚', 1)]\n",
      "\n",
      "\n",
      "JP_Mainland+cruiser:----------- 1055\n",
      "global data after merge:######################      name  confirm     中文               英文\n",
      "0      韩国     6088     韩国            Korea\n",
      "1     意大利     3089    意大利            Italy\n",
      "2      伊朗     2922     伊朗             Iran\n",
      "3      德国      349     德国          Germany\n",
      "4      法国      285     法国           France\n",
      "..    ...      ...    ...              ...\n",
      "70   北马其顿        1   北马其顿  North Macedonia\n",
      "71   斯里兰卡        1   斯里兰卡        Sri Lanka\n",
      "72  斯洛文尼亚        1  斯洛文尼亚         Slovenia\n",
      "73     日本     1055     日本            Japan\n",
      "74     中国    80567     中国            China\n",
      "\n",
      "[75 rows x 4 columns]\n",
      "\n",
      "\n",
      "未通过geos函数的城市:$$$$$$$$$$$$$$$$$$ 12       两江新区\n",
      "28         乐东\n",
      "36        伊犁州\n",
      "39         保亭\n",
      "50      兵团第九师\n",
      "51     兵团第十二师\n",
      "52      兵团第四师\n",
      "54         凉山\n",
      "55       划归外省\n",
      "93      地区待确认\n",
      "96       境外输入\n",
      "97       外地来京\n",
      "98       外地来沪\n",
      "99       外地来津\n",
      "116     宁东管委会\n",
      "155        延边\n",
      "194        普洱\n",
      "247     济源示范区\n",
      "295    省十里丰监狱\n",
      "305       第七师\n",
      "345      赣江新区\n",
      "415      黔东南州\n",
      "416       黔南州\n",
      "418      黔西南州\n",
      "Name: city, dtype: object\n",
      "\n",
      "\n",
      "print serious city############:\n",
      "[['仙桃', 575], ['十堰', 672], ['咸宁', 836], ['孝感', 3518], ['宜昌', 931], ['武汉', 49671], ['温州', 504], ['荆州', 1580], ['荆门', 928], ['襄阳', 1175], ['鄂州', 1394], ['随州', 1307], ['黄冈', 2907], ['黄石', 1015]]\n",
      "\n",
      "\n",
      "一般确诊城市:########\n",
      "[['七台河', 17], ['万宁', 13], ['万州区', 118], ['万盛经开区', 1], ['三亚', 54], ['三明', 14], ['三门峡', 7], ['上饶', 123], ['东丽区', 4], ['东城', 13], ['东方', 3], ['东莞', 99], ['中卫', 4], ['中山', 66], ['丰台', 43], ['丰都县', 10], ['临夏', 3], ['临汾', 2], ['临沂', 49], ['临沧', 1], ['临高县', 6], ['丹东', 11], ['丽水', 17], ['丽江市', 7], ['乌兰察布', 3], ['乌海', 2], ['乌鲁木齐', 23], ['乐山', 3], ['九江', 118], ['九龙坡区', 21], ['云阳县', 25], ['亳州', 108], ['仙桃', 575], ['伊春', 1], ['佛山', 84], ['佳木斯', 15], ['保定', 32], ['保山市', 9], ['信阳', 274], ['儋州', 15], ['公主岭', 6], ['六安', 69], ['六师五家渠', 2], ['六盘水', 10], ['兰州', 36], ['兴安盟', 1], ['内江', 22], ['包头', 11], ['北海', 44], ['北辰区', 6], ['十堰', 672], ['南京', 93], ['南充', 39], ['南宁', 55], ['南岸区', 15], ['南平', 20], ['南开区', 6], ['南昌', 230], ['南通', 40], ['南阳', 156], ['厦门', 35], ['双鸭山', 52], ['台州', 146], ['合川区', 23], ['合肥', 174], ['吉安', 22], ['吉林', 5], ['吐鲁番', 3], ['吕梁', 6], ['吴忠', 28], ['周口', 76], ['呼伦贝尔', 7], ['呼和浩特', 7], ['和平区', 6], ['咸宁', 836], ['咸阳', 17], ['哈尔滨', 198], ['唐山', 58], ['商丘', 91], ['商洛', 7], ['嘉兴', 45], ['嘉定', 9], ['四平', 15], ['固原', 5], ['垫江县', 20], ['城口县', 2], ['大兴', 39], ['大兴安岭', 2], ['大同', 12], ['大庆', 26], ['大渡口区', 7], ['大理', 13], ['大足区', 14], ['大连', 19], ['天水', 12], ['天门', 496], ['太原', 20], ['奉节县', 22], ['奉贤', 9], ['威海', 38], ['娄底', 76], ['宁德', 26], ['宁河区', 4], ['宁波', 157], ['安庆', 83], ['安康', 26], ['安阳', 53], ['安顺', 4], ['定安县', 3], ['定西', 9], ['宜宾', 12], ['宜昌', 931], ['宜春', 106], ['宝坻区', 60], ['宝山', 21], ['宝鸡', 13], ['宣城', 6], ['宿州', 41], ['宿迁', 13], ['密云', 7], ['岳阳', 156], ['崇明', 4], ['巫山县', 10], ['巫溪县', 14], ['巴中', 24], ['巴南区', 6], ['巴州', 3], ['巴彦淖尔', 8], ['常州', 51], ['常德', 82], ['平凉', 9], ['平顶山', 58], ['广元', 6], ['广安', 30], ['广州', 347], ['庆阳', 3], ['廊坊', 30], ['延安', 8], ['延庆', 1], ['开封', 26], ['开州区', 21], ['张家口', 41], ['张家界', 5], ['张掖', 2], ['彭水县', 2], ['徐州', 79], ['徐汇', 18], ['德宏州', 5], ['德州', 37], ['德阳', 18], ['忠县', 21], ['忻州', 7], ['怀化', 40], ['怀柔', 7], ['恩施州', 252], ['惠州', 62], ['成都', 144], ['房山', 16], ['扬州', 23], ['承德', 7], ['抚州', 72], ['拉萨', 1], ['揭阳', 8], ['攀枝花', 16], ['文山州', 2], ['文昌', 3], ['新乡', 57], ['新余', 130], ['无锡', 55], ['日照', 16], ['昆明', 53], ['昌吉州', 4], ['昌平', 29], ['昌江县', 7], ['昭通市', 25], ['晋中', 37], ['晋城', 10], ['普陀', 11], ['景德镇', 6], ['曲靖', 13], ['朔州', 8], ['朝阳', 72], ['朝阳市', 6], ['本溪', 3], ['来宾', 11], ['杨凌', 1], ['杨浦', 9], ['杭州', 169], ['松原', 2], ['松江', 14], ['枣庄', 24], ['柳州', 24], ['株洲', 80], ['桂林', 32], ['梁平区', 4], ['梅州', 16], ['梅河口市', 1], ['梧州', 5], ['楚雄州', 4], ['榆林', 3], ['武清区', 2], ['武隆区', 1], ['毕节', 23], ['永川区', 5], ['永州', 44], ['汉中', 26], ['汕头', 25], ['汕尾', 5], ['江北区', 28], ['江津区', 4], ['江门', 23], ['池州', 17], ['沈阳', 28], ['沙坪坝区', 9], ['沧州', 48], ['河东区', 15], ['河北区', 12], ['河池', 28], ['河源', 4], ['河西区', 4], ['泉州', 47], ['泰安', 35], ['泰州', 37], ['泸州', 24], ['洛阳', 31], ['津南区', 2], ['济南', 47], ['济宁', 260], ['浦东', 61], ['海北州', 3], ['海口', 39], ['海淀', 63], ['涪陵区', 5], ['淄博', 30], ['淮北', 27], ['淮南', 27], ['淮安', 66], ['深圳', 418], ['清远', 12], ['渝中区', 20], ['渝北区', 17], ['温州', 504], ['渭南', 15], ['湖州', 10], ['湘潭', 36], ['湘西自治州', 8], ['湛江', 22], ['滁州', 13], ['滨州', 15], ['滨海新区', 3], ['漯河', 35], ['漳州', 20], ['潍坊', 44], ['潜江', 198], ['潮州', 5], ['潼南区', 18], ['澄迈县', 9], ['濮阳', 17], ['烟台', 47], ['焦作', 32], ['牡丹江', 15], ['玉林', 11], ['玉溪', 14], ['珠海', 98], ['琼中县', 1], ['琼海', 6], ['璧山区', 9], ['甘南州', 8], ['甘孜', 78], ['白城', 1], ['白银', 4], ['百色', 3], ['益阳', 60], ['盐城', 27], ['盘锦', 11], ['眉山', 8], ['石嘴山', 1], ['石家庄', 29], ['石景山', 14], ['石柱县', 15], ['神农架', 11], ['福州', 72], ['秀山县', 1], ['秦皇岛', 10], ['第八师石河子', 4], ['綦江区', 23], ['红桥区', 2], ['红河', 9], ['绍兴', 42], ['绥化', 47], ['绵阳', 22], ['聊城', 38], ['肇庆', 19], ['自贡', 9], ['舟山', 10], ['芜湖', 34], ['苏州', 87], ['茂名', 14], ['荆门', 928], ['荣昌区', 9], ['莆田', 56], ['菏泽', 18], ['萍乡', 33], ['营口', 1], ['葫芦岛', 12], ['虹口', 7], ['蚌埠', 160], ['衡水', 8], ['衡阳', 48], ['衢州', 14], ['西双版纳州', 15], ['西城', 53], ['西宁', 15], ['西安', 120], ['西青区', 4], ['许昌', 39], ['贵港', 8], ['贵阳', 36], ['贺州', 4], ['资阳', 4], ['赣州', 76], ['赤峰', 9], ['辽源', 7], ['辽阳', 3], ['达州', 42], ['运城', 19], ['连云港', 48], ['通化', 6], ['通州', 19], ['通辽', 7], ['遂宁', 17], ['遵义', 32], ['邢台', 23], ['邯郸', 32], ['邵阳', 102], ['郑州', 157], ['郴州', 39], ['鄂尔多斯', 11], ['酉阳县', 1], ['金华', 55], ['金山', 4], ['金昌', 1], ['钦州', 8], ['铁岭', 7], ['铜仁', 10], ['铜川', 8], ['铜梁区', 10], ['铜陵', 29], ['银川', 36], ['锡林郭勒', 9], ['锦州', 12], ['镇江', 12], ['长宁', 13], ['长寿区', 22], ['长春', 45], ['长沙', 242], ['长治', 8], ['门头沟', 3], ['闵行', 19], ['阜新', 8], ['阜阳', 155], ['防城港', 19], ['阳江', 14], ['阳泉', 4], ['阿克苏', 1], ['阿坝', 1], ['陇南', 4], ['陵水县', 4], ['雅安', 7], ['青岛', 60], ['青浦', 6], ['静安', 16], ['鞍山', 4], ['韩城', 1], ['韶关', 10], ['顺义', 10], ['马鞍山', 38], ['驻马店', 139], ['高新区', 4], ['鸡西', 46], ['鹤壁', 19], ['鹤岗', 5], ['鹰潭', 18], ['黄山', 9], ['黄浦', 6], ['黑河', 14], ['黔江区', 2], ['齐齐哈尔', 43], ['龙岩', 6]]\n",
      "###########################\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "$$$$$$$$$$$$$$$$$$$$$\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "???????????\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "332669"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import time\n",
    "import json\n",
    "import requests\n",
    "import pandas as pd\n",
    "from pyecharts.charts import *\n",
    "from pyecharts import options as opts\n",
    "from pyecharts.commons.utils import JsCode\n",
    "from pyecharts.globals import ThemeType, ChartType\n",
    "from bs4 import BeautifulSoup\n",
    "from pyecharts.render import make_snapshot\n",
    "from snapshot_selenium import snapshot\n",
    "from retrying import retry\n",
    "import random\n",
    "from pyecharts.datasets.coordinates import get_coordinate, search_coordinates_by_keyword\n",
    "from pyecharts.components import Image\n",
    "from pyecharts.options import ComponentTitleOpts\n",
    "from MyQR import myqr\n",
    "import os\n",
    " \n",
    "QR = myqr.run(\n",
    "    words=\"https://geoseis.cn/CoV_en.html\",          # 可以是字符串，也可以是网址(前面要加http(s)://)\n",
    "    version=1,                              # 设置容错率为最高\n",
    "    level='H',                              # 控制纠错水平，范围是L、M、Q、H，从左到右依次升高\n",
    "    picture=\"C:/Users/xuzhen/Pictures/0.jpg\",                           # 将二维码和图片合成\n",
    "    colorized=True,                         # 彩色二维码\n",
    "    contrast=1.0,                           #用以调节图片的对比度，1.0 表示原始图片，更小的值表示更低对比度，更大反之。默认为1.0\n",
    "    brightness=1.0,                         #用来调节图片的亮度，其余用法和取值同上\n",
    "    save_name=\"C:/Users/xuzhen/Pictures/python.gif\",                     # 保存文件的名字，格式可以是jpg,png,bmp,gif\n",
    "    save_dir=os.getcwd()                    #控制位置\n",
    ")\n",
    "\n",
    "def image_base() -> Image:\n",
    "    image = Image()\n",
    "\n",
    "    img_src = (\n",
    "        \"https://www.geoseis.cn/wp-content/gallery/pycharm/\"\n",
    "        \"python.gif\"\n",
    "    )\n",
    "    image.add(\n",
    "        src=img_src,\n",
    "        style_opts={\"width\": \"200px\", \"height\": \"200px\", \"style\": \"margin-top: 10px\"},\n",
    "    ).set_global_opts(\n",
    "        title_opts=ComponentTitleOpts(title=\"WeChat QR\",title_style={\"style\": \"font-size: 18px; font-weight:bold; color:red\"},\\\n",
    "                                      subtitle=\"Scan to follow the realtime update!\",subtitle_style={\"style\": \"font-size: 12px; color:red\"})\n",
    "    )\n",
    "    return image\n",
    "\n",
    "#title_style = title_style or {\"style\": \"font-size: 18px; font-weight:bold;\"}\n",
    "# 抓取数据(2020年2月24日更新：腾讯网页有变化，新增一个网页存放新增数据)\n",
    "url = 'https://view.inews.qq.com/g2/getOnsInfo?name=disease_h5&callback='\n",
    "URL = 'https://view.inews.qq.com/g2/getOnsInfo?name=disease_other&callback='\n",
    "\n",
    "user_agents = ['Mozilla/5.0 (Windows NT 6.1; WOW64; rv:23.0) Gecko/20130406 Firefox/23.0', \\\n",
    "            'Mozilla/5.0 (Windows NT 6.1; WOW64; rv:18.0) Gecko/20100101 Firefox/18.0', \\\n",
    "            'Mozilla/5.0 (Windows; U; Windows NT 6.1; en-US) AppleWebKit/533+ \\\n",
    "            (KHTML, like Gecko) Element Browser 5.0', \\\n",
    "            'IBM WebExplorer /v0.94', 'Galaxy/1.0 [en] (Mac OS X 10.5.6; U; en)', \\\n",
    "            'Mozilla/5.0 (compatible; MSIE 10.0; Windows NT 6.1; WOW64; Trident/6.0)', \\\n",
    "            'Opera/9.80 (Windows NT 6.0) Presto/2.12.388 Version/12.14', \\\n",
    "            'Mozilla/5.0 (iPad; CPU OS 6_0 like Mac OS X) AppleWebKit/536.26 (KHTML, like Gecko) \\\n",
    "            Version/6.0 Mobile/10A5355d Safari/8536.25', \\\n",
    "            'Mozilla/5.0 (Windows NT 6.1) AppleWebKit/537.36 (KHTML, like Gecko) \\\n",
    "            Chrome/28.0.1468.0 Safari/537.36', \\\n",
    "            'Mozilla/5.0 (compatible; MSIE 9.0; Windows NT 6.0; Trident/5.0; TheWorld)'\\\n",
    "            'Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/59.0.3071.86 Safari/537.36']\n",
    "headers= {\n",
    "        \"Accept\": \"text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,image/apng,*/*;q=0.8\",\n",
    "        \"Accept-Encoding\": \"gzip, deflate, br\",\n",
    "        \"Accept-Language\": \"zh-CN,zh;q=0.8\",\n",
    "        \"Cache-Control\": \"max-age=0\",\n",
    "        \"Connection\": \"keep-alive\",\n",
    "        \"Upgrade-Insecure-Requests\": \"1\",\n",
    "        \"Content-Type\": \"application/x-www-form-urlencoded; charset=UTF-8\",\n",
    "        \"User-Agent\": random.choice(user_agents)} \n",
    "try:\n",
    "    response = requests.get(url, proxies={'http': 'http://127.0.0.1:1080','https': 'https://127.0.0.1:1080'},\\\n",
    "                           headers = headers , timeout = 30)\n",
    "    response2 = requests.get(URL, proxies={'http': 'http://127.0.0.1:1080','https': 'https://127.0.0.1:1080'},\\\n",
    "                           headers = headers , timeout = 30)\n",
    "    res = response.json()\n",
    "    res2 = response2.json()\n",
    "    response_test = requests.get('http://httpbin.org/get', proxies={'http': 'http://127.0.0.1:1080','https': 'https://127.0.0.1:1080'},\\\n",
    "                                 headers=headers, timeout=30)\n",
    "    print('ip test:',response_test.text)\n",
    "    print(url)\n",
    "    print(URL)\n",
    "    response.raise_for_status()\n",
    "    response2.raise_for_status()\n",
    "    \n",
    "    response.encoding = response.apparent_encoding\n",
    "    response2.encoding = response2.apparent_encoding\n",
    "    #print(response.text) \n",
    "\n",
    "except requests.exceptions.RequestException as e:\n",
    "    print('*'*50,str(e))\n",
    "    print(time.strftime('%Y-%m-%d %H:%M:%S'))\n",
    "    time.sleep(random.random()*3)\n",
    "    \n",
    "soup = BeautifulSoup(response.text, \"lxml\")\n",
    "soup2 = BeautifulSoup(response2.text, \"lxml\")\n",
    "#soup.prettify()\n",
    "#soup2.prettify()\n",
    "# print(soup.prettify())\n",
    "# print(\"pretty print done!!!!!!!!!!!!!!!!\")\n",
    "# print('\\n')\n",
    "\n",
    "# print(soup2.prettify())\n",
    "# print(\"pretty2 print done!!!!!!!!!!!!!!!!\")\n",
    "# print('\\n')\n",
    "\n",
    "#response = requests.get('https://view.inews.qq.com/g2/getOnsInfo?name=disease_h5&callback=').json()\n",
    "data = json.loads(res['data'])\n",
    "data2 = json.loads(res2['data'])\n",
    "#print('data:#######################',data)\n",
    "# print('\\n')\n",
    "# print('data2:#######################',data2)\n",
    "# print('\\n')\n",
    "\n",
    "#'chinaTotal': {'confirm': 78959, 'heal': 36157, 'dead': 2791, 'nowConfirm': 40011, 'suspect': 2308, 'nowSevere': 7952}, 'chinaAdd': {'confirm': 329, 'heal': 3626, 'dead': 44, 'nowConfirm': -3341, 'suspect': -50, 'nowSevere': -394}, 'isShowAdd': True, 'showAddSwitch': {'all': True, 'confirm': True, 'suspect': True, 'dead': True, 'heal': True, 'nowConfirm': True, 'nowSevere': True}, 'areaTree': [{'name': '中国', 'today': {'confirm': 329, 'isUpdated': True}, 'total': {'confirm': 78959, 'suspect': 2308, 'dead': 2791, 'deadRate': '3.53', 'showRate': False, 'heal': 36157, 'healRate': '45.79', 'showHeal': True}, 'children': [{'name': '湖北', 'today': {'confirm': 318, 'confirmCuts': 0, 'isUpdated': True}, 'total': {'confirm': 65914, 'suspect': 0, 'dead': 2682, 'deadRate': '4.07', 'showRate': False, 'heal': 26403, 'healRate': '40.06', 'showHeal': True}, 'children': [{'name': '武汉', 'today': {'confirm': 313, 'confirmCuts': 0, 'isUpdated': True}, 'total': {'confirm': 48137, 'suspect': 0, 'dead': 2132, 'deadRate': '4.43', 'showRate': False, 'heal': 15826, 'healRate': '32.88', 'showHeal': True}},\n",
    "\n",
    "# 国内\n",
    "lastUpdateTime = data['lastUpdateTime']\n",
    "\n",
    "chinaTotal = data['chinaTotal']\n",
    "\n",
    "chinaTotal['totalConfirm'] = chinaTotal['confirm']\n",
    "chinaTotal['totalDead'] = chinaTotal['dead']\n",
    "chinaTotal['totalHeal'] = chinaTotal['heal']\n",
    "\n",
    "chinaTotal['nowSuspect'] = chinaTotal['suspect']\n",
    "chinaTotal['nowConfirm'] = chinaTotal['nowConfirm']\n",
    "chinaTotal['nowSevere'] = chinaTotal['nowSevere']\n",
    "del chinaTotal['confirm']\n",
    "del chinaTotal['dead']\n",
    "del chinaTotal['heal']\n",
    "\n",
    "del chinaTotal['suspect']\n",
    "# del chinaTotal['nowConfirm']\n",
    "# del chinaTotal['nowSevere']\n",
    "\n",
    "sum = chinaTotal['totalConfirm']  + chinaTotal['nowSuspect'] \n",
    "chinaAdd = data['chinaAdd']\n",
    "chinaAdd['AddedtotalConfirm'] = chinaAdd['confirm']\n",
    "chinaAdd['AddedtotalDead'] = chinaAdd['dead']\n",
    "chinaAdd['AddedtotalHeal'] = chinaAdd['heal']\n",
    "\n",
    "chinaAdd['AddednowSuspect'] = chinaAdd['suspect']\n",
    "chinaAdd['AddednowConfirm'] = chinaAdd['nowConfirm']\n",
    "chinaAdd['AddednowSevere'] = chinaAdd['nowSevere']\n",
    "del chinaAdd['confirm']\n",
    "del chinaAdd['dead']\n",
    "del chinaAdd['heal']\n",
    "\n",
    "del chinaAdd['suspect']\n",
    "del chinaAdd['nowConfirm']\n",
    "del chinaAdd['nowSevere']\n",
    "\n",
    "areaTree = data['areaTree']\n",
    "\n",
    "china_data = areaTree[0]['children']       #province block\n",
    "china_list = []\n",
    "for x in range(len(china_data)):\n",
    "    province = china_data[x]['name']  #province name\n",
    "    province_list = china_data[x]['children']  #city blocks under a province\n",
    "    for y in range(len(province_list)):        #loop city lists under a province\n",
    "        city = province_list[y]['name']        #city names     \n",
    "        total = province_list[y]['total']      #累计数据 under 'total' block it's a list of statistics: confirm/suspect/dead/heal\n",
    "        today = province_list[y]['today']      #新增数据 for a city: today's info (confirm under 'today' block means no. confirmed for that city)\n",
    "        \n",
    "        china_dict = {'province': province, 'city': city, 'total': total, 'today': today}  \n",
    "        china_list.append(china_dict)\n",
    "        \n",
    "foreign_data = data2['foreignList']\n",
    "country_List = []\n",
    "for y in range(len(foreign_data)):\n",
    "    country_List.append(foreign_data[y]['name'])\n",
    "#     for z in country_list:\n",
    "#         \\\"confirmAdd\\\":851,\\\"confirmAddCut\\\":0,\\\"confirm\\\":5186,\\\"suspect\\\":0,\\\"dead\\\":31,\\\"heal\\\":31,\n",
    "print('country list:{}'.format(country_List))\n",
    "        \n",
    "\n",
    "# 定义数据处理函数\n",
    "#累计确诊\n",
    "def confirm(x):\n",
    "    confirm = eval(str(x))['confirm']\n",
    "    return confirm\n",
    "#累计死亡\n",
    "def dead(x):\n",
    "    dead = eval(str(x))['dead']\n",
    "    return dead\n",
    "#累计治愈\n",
    "def heal(x):\n",
    "    heal = eval(str(x))['heal']\n",
    "    return heal\n",
    "# 现有疑似\n",
    "def suspect(x):\n",
    "    suspect = eval(str(x))['suspect']\n",
    "    return suspect\n",
    "\n",
    "# 现有确诊\n",
    "def nowConfirm(x):\n",
    "    nowConfirm = eval(str(x))['nowConfirm']\n",
    "    return nowConfirm\n",
    "# 现有重症\n",
    "def nowSevere(x):\n",
    "    nowSevere = eval(str(x))['nowSevere']\n",
    "    return nowSevere\n",
    "\n",
    "# 现有疑似\n",
    "def deadRate(x):\n",
    "    deadRate = eval(str(x))['deadRate']\n",
    "    return deadRate\n",
    "# 现有疑似\n",
    "def healRate(x):\n",
    "    healRate = eval(str(x))['healRate']\n",
    "    return healRate\n",
    "\n",
    "china_data = pd.DataFrame(china_list)\n",
    "#print('china_data:##########')\n",
    "#print(china_data.head())\n",
    "\n",
    "# 函数映射\n",
    "#累计确诊/死亡/治愈\n",
    "china_data['confirm'] = china_data['total'].map(confirm)      \n",
    "china_data['dead'] = china_data['total'].map(dead)\n",
    "china_data['heal'] = china_data['total'].map(heal)\n",
    "#现有疑似/确诊/重症/\n",
    "china_data['suspect'] = china_data['total'].map(suspect)\n",
    "# china_data['nowConfirm'] = china_data['total'].map(nowConfirm)\n",
    "# china_data['nowSevere'] = china_data['total'].map(nowSevere)\n",
    "#新增累计确诊/死亡/治愈\n",
    "china_data['addconfirm'] = china_data['today'].map(confirm)\n",
    "# china_data['adddead'] = china_data['today'].map(dead)\n",
    "# china_data['addheal'] = china_data['today'].map(heal)\n",
    "#新增现有疑似/确诊/重症\n",
    "# china_data['addsuspect'] = china_data['today'].map(suspect)\n",
    "# china_data['addnowConfirm'] = china_data['today'].map(addnowConfirm)\n",
    "# china_data['addnowSevere'] = china_data['today'].map(addnowSevere)\n",
    "china_data['deadRate'] = china_data['total'].map(deadRate)\n",
    "china_data['healRate'] = china_data['total'].map(healRate)\n",
    "\n",
    "china_data = china_data[\n",
    "    [\"province\", \"city\", \"confirm\", \"suspect\", \"dead\", \"heal\", \"addconfirm\"]] #info N/A today: \"addsuspect\", \"adddead\", \"addheal\"\n",
    "#china_data.head()\n",
    "\n",
    "\n",
    "#Global数据处理\n",
    "foreignList = pd.DataFrame(data2['foreignList'])\n",
    "print('foreignList: {}'.format(foreignList))\n",
    "foreign_data = list(zip(foreignList['name'], foreignList['confirm']))\n",
    "print('foreign_data: {}'.format(foreign_data))\n",
    "\n",
    "global_data = pd.DataFrame(data2['foreignList'])\n",
    "# global_data['confirm'] = global_data['name'].map(confirm)\n",
    "# global_data['suspect'] = global_data['name'].map(suspect)\n",
    "# global_data['dead'] = global_data['name'].map(dead)\n",
    "# global_data['heal'] = global_data['name'].map(heal)\n",
    "# global_data['deadRate'] = global_data['total'].map(deadRate)\n",
    "# global_data['healRate'] = global_data['total'].map(healRate)\n",
    "\n",
    "# global_data['addconfirm'] = global_data['name'].map(confirmAdd)\n",
    "\n",
    "#print(type(global_data))\n",
    "#print(\"global data before merge:######################\", global_data)\n",
    "print('\\n')\n",
    "global_data = pd.DataFrame(foreign_data, columns=['name','confirm'])\n",
    "#global_data.reindex(global_data['name'])\n",
    "#print(global_data)\n",
    "tmp_jp = global_data.loc[4,'confirm'] + global_data.loc[3,'confirm']\n",
    "print(\"JP_Mainland+cruiser:-----------\",tmp_jp)\n",
    "#加一行‘日本’\n",
    "global_data.loc[len(global_data)+1] = ('日本',tmp_jp)\n",
    "global_data.loc[len(global_data)+2] = ('中国', chinaTotal['totalConfirm']) \n",
    "\n",
    "world_name = pd.read_excel(\"国家中英文对照Echarts_clean_name.xlsx\")\n",
    "#print(\"df_global_data2merge: ########## \", global_data)\n",
    "#print(world_name)\n",
    "global_data = pd.merge(global_data, world_name, left_on=\"name\", right_on=\"中文\", how=\"inner\")\n",
    "print(\"global data after merge:######################\", global_data)\n",
    "# global_data = global_data[\n",
    "#     [\"name\", \"英文\", \"confirm\", \"suspect\", \"dead\", \"heal\", \"addconfirm\"]] # info N/A today: \"addsuspect\", \"adddead\", \"addheal\"]]\n",
    "# global_data.head()\n",
    "global_data.to_csv('CoV_update.csv',encoding='utf-8-sig')\n",
    "# 日数据处理\n",
    "chinaDayList = pd.DataFrame(data2['chinaDayList'])\n",
    "chinaDayList = chinaDayList[['confirm', 'suspect', 'dead','heal','nowConfirm', 'nowSevere', 'deadRate', 'healRate','date']] #deadRate是网页隐藏元素！\n",
    "#chinaDayList.head()\n",
    "\n",
    "# 日新增数据处理\n",
    "chinaDayAddList = pd.DataFrame(data2['chinaDayAddList'])\n",
    "chinaDayAddList = chinaDayAddList[[ 'confirm', 'suspect', 'dead', 'heal', 'deadRate', 'healRate','date']]\n",
    "#chinaDayAddList.head()\n",
    "\n",
    "\n",
    "# 数据可视化\n",
    "#print(\"chinaTotal.values:\")\n",
    "#print(chinaTotal.values())\n",
    "chinaTotal_p1 = [chinaTotal['totalConfirm'], chinaTotal['totalDead'], chinaTotal['totalHeal']]\n",
    "chinaTotal_p2 = [chinaTotal['nowSuspect'], chinaTotal['nowConfirm'], chinaTotal['nowSevere']]\n",
    "chinaAdd_p3 = [chinaAdd['AddedtotalConfirm'], chinaAdd['AddedtotalDead'], chinaAdd['AddedtotalHeal']]\n",
    "chinaAdd_p4 = [chinaAdd['AddednowSuspect'], chinaAdd['AddednowConfirm'], chinaAdd['AddednowSevere']]\n",
    "\n",
    "# 饼图\n",
    "total_pie = (\n",
    "    Pie(init_opts=opts.InitOpts(theme=ThemeType.LIGHT, width='500px', height='350px', bg_color=\"transparent\"))\n",
    "        .add(\"\", [list(z) for z in zip(['totalConfirm ', 'totalDead    ', 'totalHeal   '], chinaTotal_p1)],\n",
    "             center=[\"48%\", \"60%\"], radius=[70, 85], )\n",
    "        .add(\"\", [list(z) for z in zip(['nowSuspect ', 'nowConfirm ', 'nowSevere   '], chinaTotal_p2)],\n",
    "             center=[\"48%\", \"60%\"], radius=[45, 60], )\n",
    "        .add(\"\", [list(z) for z in zip(['AddConfirm ', 'AddDead      ', 'AddHeal     '], chinaAdd_p3)],\n",
    "             center=[\"48%\", \"60%\"], radius=[20, 35], )\n",
    "        .add(\"\", [list(z) for z in zip(['AddnowSuspect', 'AddnowConfirm', 'AddnowSevere'], chinaAdd_p4)],\n",
    "             center=[\"48%\", \"60%\"], radius=[0, 10], )\n",
    "#         .add(\"\", [list(z) for z in zip(chinaAdd.keys(), chinaAdd.values())], center=[\"48%\", \"60%\"], radius=[0, 35])\n",
    "        .set_global_opts(title_opts=opts.TitleOpts(title=\"Pie_China_CoV\", pos_bottom=0,\n",
    "                                                   title_textstyle_opts=opts.TextStyleOpts(color=\"#00FFFF\")),\n",
    "                         legend_opts=opts.LegendOpts(textstyle_opts=opts.TextStyleOpts(color=\"#FFFFFF\")))\n",
    "        .set_series_opts(label_opts=opts.LabelOpts(formatter=\"{b}:{c}\")))\n",
    "#print(\"global_data:################ \",global_data)\n",
    "print('\\n')\n",
    "# 全球疫情地图\n",
    "world_map = (\n",
    "    Map(init_opts=opts.InitOpts(theme=ThemeType.WESTEROS))\n",
    "        .add(\"\", [list(z) for z in zip(list(global_data[\"英文\"]), list(global_data[\"confirm\"]))], \"world\",\n",
    "             is_map_symbol_show=False)\n",
    "        .set_series_opts(label_opts=opts.LabelOpts(is_show=False),\n",
    "                         toolbox_opts=opts.ToolboxOpts(orient='vertical', pos_right=\"10%\"))\n",
    "        .set_global_opts(visualmap_opts=opts.VisualMapOpts(is_piecewise=True, background_color=\"transparent\",\n",
    "                                                           textstyle_opts=opts.TextStyleOpts(color=\"#F5FFFA\"),\n",
    "                                                           pieces=[\n",
    "                                                               {\"min\": 101, \"label\": '>100', \"color\": \"#893448\"},\n",
    "                                                               {\"min\": 10, \"max\": 100, \"label\": '10-100',\n",
    "                                                                \"color\": \"#fb8146\"},\n",
    "                                                               {\"min\": 1, \"max\": 9, \"label\": '1-9',\n",
    "                                                                \"color\": \"#fff2d1\"},\n",
    "                                                           ])))\n",
    "\n",
    "# 中国疫情地图绘制\n",
    "# 数据处理\n",
    "#省份汇总数据也可以直接读取\n",
    "area_data = china_data.groupby(\"province\")[\"confirm\"].sum().reset_index()\n",
    "area_data.columns = [\"province\", \"confirm\"]\n",
    "\n",
    "\n",
    "area_map = (\n",
    "    Map(init_opts=opts.InitOpts(theme=ThemeType.WESTEROS))\n",
    "        .add(\"\", [list(z) for z in zip(list(area_data[\"province\"]), list(area_data[\"confirm\"]))], \"china\",\n",
    "             is_map_symbol_show=False, label_opts=opts.LabelOpts(color=\"#fff\"),\n",
    "             tooltip_opts=opts.TooltipOpts(is_show=True), zoom=1.2, center=[105, 30])\n",
    "        .set_series_opts(label_opts=opts.LabelOpts(is_show=False))\n",
    "        .set_global_opts(title_opts=opts.TitleOpts(title=\"China CoV Distribution\", pos_top='5%',\n",
    "                                                   title_textstyle_opts=opts.TextStyleOpts(color=\"#FF0000\")),\n",
    "                         visualmap_opts=opts.VisualMapOpts(is_piecewise=True, pos_right=0, pos_bottom=0,\n",
    "                                                           textstyle_opts=opts.TextStyleOpts(color=\"#F5FFFA\"),\n",
    "                                                           pieces=[\n",
    "                                                               {\"min\": 1001, \"label\": '>1000', \"color\": \"#893448\"},\n",
    "                                                               {\"min\": 500, \"max\": 1000, \"label\": '500-1000',\n",
    "                                                                \"color\": \"#ff585e\"},\n",
    "                                                               {\"min\": 101, \"max\": 499, \"label\": '101-499',\n",
    "                                                                \"color\": \"#fb8146\"},\n",
    "                                                               {\"min\": 10, \"max\": 100, \"label\": '10-100',\n",
    "                                                                \"color\": \"#ffb248\"},\n",
    "                                                               {\"min\": 0, \"max\": 9, \"label\": '0-9',\n",
    "                                                                \"color\": \"#fff2d1\"}])))\n",
    "\n",
    "city_data = china_data.groupby('city')['confirm'].sum().reset_index()\n",
    "city_data.columns = [\"city\", \"confirm\"]\n",
    "\n",
    "def is_city(item):\n",
    "    '''\n",
    "    判断一个城市能否在Geo地图上被找到\n",
    "    :param item: 城市名\n",
    "    :return: T/F\n",
    "    '''\n",
    "\n",
    "    lists_1 = []\n",
    "    lists_1.append(item)\n",
    "    lists_2 = [10]\n",
    "    geo = Geo()\n",
    "    geo.add_schema(maptype=\"china\")\n",
    "    try:\n",
    "        geo.add(\"确诊城市\", [list(z) for z in zip(lists_1, lists_2)])\n",
    "        return True\n",
    "    except TypeError as e:\n",
    "        return False\n",
    "\n",
    "\n",
    "city_index = []\n",
    "i = 0\n",
    "for item in city_data['city']:\n",
    "    if is_city(item) == False:\n",
    "        city_index.append(i)\n",
    "    i += 1\n",
    "print(\"未通过geos函数的城市:$$$$$$$$$$$$$$$$$$\", city_data['city'][city_index])\n",
    "# 设置匹配阈值\n",
    "#COORDINATES.cutoff = 0.7\n",
    "#print(search_coordinates_by_keyword(city_area_list[10][:2]))\n",
    "##############清除不存在的地点，否则Geo会报错###############\n",
    "# 城市坐标处理，清洗数据需要注意模糊查询\n",
    "\n",
    "for x in city_index:\n",
    "    del (city_data['city'][x])\n",
    "    del (city_data['confirm'][x])\n",
    "    \n",
    "#严重确诊城市：\n",
    "city_index_ = []\n",
    "i = 0\n",
    "for item in city_data['confirm']:\n",
    "    if item > 500:\n",
    "        city_index_.append(i)\n",
    "    i += 1\n",
    "\n",
    "serious_city = []  # 严重城市\n",
    "serious_submit = []  # 严重人数\n",
    "for y in city_index_:\n",
    "    serious_city.append(list(city_data['city'])[y])\n",
    "    serious_submit.append(list(city_data['confirm'])[y])\n",
    "    \n",
    "#一般确诊城市：    \n",
    "city_index__ = []\n",
    "i = 0\n",
    "for item in city_data['confirm']:\n",
    "    if item < 1001:\n",
    "        city_index__.append(i)\n",
    "    i += 1\n",
    "\n",
    "cfm_city = []  # 一般确诊城市\n",
    "cfm_submit = []  # 一般确诊人数\n",
    "for z in city_index__:\n",
    "    cfm_city.append(list(city_data['city'])[z])\n",
    "    cfm_submit.append(list(city_data['confirm'])[z])\n",
    "    \n",
    "list_1 = [\"拉萨\"]\n",
    "list_2 = [1]\n",
    "print('\\n')\n",
    "print(\"print serious city############:\")\n",
    "#print(serious_city,serious_submit)\n",
    "print([list(z) for z in zip(list(serious_city), list(serious_submit))])\n",
    "print('\\n')\n",
    "print(\"一般确诊城市:########\")\n",
    "print([list(z) for z in zip(cfm_city, cfm_submit)])\n",
    "print('###########################\\n')\n",
    "area_heat_geo = (\n",
    "    Geo(init_opts=opts.InitOpts(theme=ThemeType.WESTEROS, bg_color='transparent'))\n",
    "        .add_schema(maptype=\"china\", zoom=1.2, center=[105, 30])\n",
    "        .add(\"Less Plagued\", [list(z) for z in zip(cfm_city, cfm_submit)], symbol_size=6)\n",
    "        .add(\"Less Plagued\", [list(z) for z in zip(list_1, list_2)], symbol_size=6)  # 孤独拉萨\n",
    "        .add(\"Less Plagued\", [list(z) for z in zip(list(serious_city), list(serious_submit))],  # 感染者超1000的城市\n",
    "             type_=ChartType.EFFECT_SCATTER, effect_opts=opts.EffectOpts(is_show=True, color=\"black\",\n",
    "                                                                         symbol_size=10, scale=3, period=1))\n",
    "        .add(\"Badly Plagued\", [list(z) for z in zip(list(serious_city), list(serious_submit))],type_=ChartType.HEATMAP)\n",
    "        .set_series_opts(label_opts=opts.LabelOpts(is_show=False))\n",
    "        .set_global_opts(\n",
    "        visualmap_opts=opts.VisualMapOpts(range_size=[0, 10, 50, 100, 200, 500, 50000], orient='horizontal', max_=500,is_calculable=True,     \n",
    "                                          pos_bottom=0),\n",
    "        title_opts=opts.TitleOpts(title=\"China CoV HeatMap\", pos_top='5%'),\n",
    "        legend_opts=opts.LegendOpts(pos_bottom='10%', pos_left=0)))\n",
    "\n",
    "# 每日数据趋势\n",
    "line = (\n",
    "    Line(init_opts=opts.InitOpts(theme=ThemeType.CHALK, bg_color=\"transparent\"))\n",
    "        .add_xaxis(list(chinaDayList[\"date\"]))\n",
    "        .add_yaxis(\"      totalConfirm        \", list(chinaDayList[\"confirm\"]), is_smooth=True, yaxis_index=1)\n",
    "        .add_yaxis(\"totalDead            \", list(chinaDayList[\"dead\"]), is_smooth=True, yaxis_index=1)\n",
    "        .add_yaxis(\"totalHeal            \", list(chinaDayList[\"heal\"]), is_smooth=True, yaxis_index=1)\n",
    "        .add_yaxis(\"nowSuspect          \", list(chinaDayList[\"suspect\"]), is_smooth=True, yaxis_index=1)\n",
    "        .add_yaxis(\"      nowConfirm          \", list(chinaDayList[\"nowConfirm\"]), is_smooth=True, yaxis_index=1)\n",
    "        .add_yaxis(\"nowSevere           \", list(chinaDayList[\"nowSevere\"]), is_smooth=True, yaxis_index=1)\n",
    "        .add_yaxis(\"deadRate            \", list(chinaDayList[\"deadRate\"]), is_smooth=True, yaxis_index=1)\n",
    "        .add_yaxis(\"healRate\", list(chinaDayList[\"healRate\"]), is_smooth=True, yaxis_index=1)\n",
    "        .set_series_opts(label_opts=opts.LabelOpts(is_show=False))\n",
    "        .set_global_opts(legend_opts=opts.LegendOpts(pos_left='center')))\n",
    "\n",
    "bar = (\n",
    "    Bar(init_opts=opts.InitOpts(theme=ThemeType.CHALK, bg_color=\"transparent\"))\n",
    "        .add_xaxis(list(chinaDayAddList[\"date\"]))\n",
    "        .add_yaxis(\"chinaDayAddConfirm  \", list(chinaDayAddList[\"confirm\"]))\n",
    "        .add_yaxis(\"chinaDayAddSuspect  \", list(chinaDayAddList[\"suspect\"]))\n",
    "        .add_yaxis(\"chinaDayAddDead     \", list(chinaDayAddList[\"dead\"]))\n",
    "        .add_yaxis(\"chinaDayAddHeal\", list(chinaDayAddList[\"heal\"]))\n",
    "        .extend_axis(yaxis=opts.AxisOpts(axislabel_opts=opts.LabelOpts(formatter=\"{value}\")))\n",
    "        .set_series_opts(label_opts=opts.LabelOpts(is_show=False))\n",
    "        .set_global_opts(legend_opts=opts.LegendOpts(pos_left='center'),\n",
    "                         yaxis_opts=opts.AxisOpts(axislabel_opts=opts.LabelOpts(formatter=\"{value}\")),\n",
    "                         datazoom_opts=opts.DataZoomOpts())).overlap(line)\n",
    "\n",
    "big_title = (\n",
    "    Pie()\n",
    "        .set_global_opts(\n",
    "        title_opts=opts.TitleOpts(title=\"2019-nCov\",\n",
    "                                  title_textstyle_opts=opts.TextStyleOpts(font_size=40, color='#FFFFFF',\n",
    "                                                                          border_radius=True, border_color=\"white\"),\n",
    "                                  pos_top=0)))\n",
    "\n",
    "times = (\n",
    "    Pie()\n",
    "        .set_global_opts(\n",
    "        title_opts=opts.TitleOpts(subtitle=(\"Updated: \" + lastUpdateTime),\n",
    "                                  subtitle_textstyle_opts=opts.TextStyleOpts(font_size=13, color='#FFFFFF'),\n",
    "                                  pos_top=0))\n",
    ")\n",
    "\n",
    "\n",
    "# total_pie = (\n",
    "#     Pie(init_opts=opts.InitOpts(theme=ThemeType.LIGHT, width='500px', height='350px', bg_color=\"transparent\"))\n",
    "#         .add(\"\", [list(z) for z in zip(['累计确诊  ', '现有疑似  ', '累计死亡  ', '累计治愈  '], chinaTotal.values())],\n",
    "#              center=[\"50%\", \"60%\"], radius=[75, 100], )\n",
    "#         .add(\"\", [list(z) for z in zip(chinaAdd.keys(), chinaAdd.values())], center=[\"50%\", \"60%\"], radius=[0, 50])\n",
    "#         .set_global_opts(title_opts=opts.TitleOpts(title=\"全国总量\", pos_bottom=0,\n",
    "#                                                    title_textstyle_opts=opts.TextStyleOpts(color=\"#00FFFF\")),\n",
    "#                          legend_opts=opts.LegendOpts(textstyle_opts=opts.TextStyleOpts(color=\"#FFFFFF\")))\n",
    "#         .set_series_opts(label_opts=opts.LabelOpts(formatter=\"{b}:{c}\")))\n",
    "\n",
    "\n",
    "\n",
    "confirms = (Pie().\n",
    "            set_global_opts(title_opts=opts.TitleOpts(title=\"CFM\", pos_left='center', pos_top='center',\n",
    "                                                      title_textstyle_opts=opts.TextStyleOpts(color='#FFFFFF'))))\n",
    "confirms_people = (Pie().\n",
    "                   set_global_opts(title_opts=opts.TitleOpts(title=(str(chinaTotal['totalConfirm']) + \"   \"),\n",
    "                                                             pos_top='15%', pos_left='center',\n",
    "                                                             subtitle=(\"         Added: \" + str(chinaAdd['AddedtotalConfirm'])),\n",
    "                                                             item_gap=1,\n",
    "                                                             title_textstyle_opts=opts.TextStyleOpts(color=\"#00FFFF\",\n",
    "                                                                                                     font_size=30),\n",
    "                                                             subtitle_textstyle_opts=opts.TextStyleOpts(color=\"#00BFFF\")\n",
    "                                                             )))\n",
    "suspects = (Pie().\n",
    "            set_global_opts(title_opts=opts.TitleOpts(title=\"Suspect\", pos_left='center', pos_top='center',\n",
    "                                                      title_textstyle_opts=opts.TextStyleOpts(color='#FFFFFF'))))\n",
    "suspects_people = (Pie().\n",
    "                   set_global_opts(title_opts=opts.TitleOpts(title=(str(chinaTotal['nowSuspect']) + \"   \"),\n",
    "                                                             pos_top='15%', pos_left='center',\n",
    "                                                             subtitle=(\"         Added :\" + str(chinaAdd['AddednowSuspect'])),\n",
    "                                                             item_gap=1,\n",
    "                                                             title_textstyle_opts=opts.TextStyleOpts(color=\"#FF00FF\",\n",
    "                                                                                                     font_size=30),\n",
    "                                                             subtitle_textstyle_opts=opts.TextStyleOpts(color=\"#EE82EE\")\n",
    "                                                             )))\n",
    "deads = (Pie().set_global_opts(title_opts=opts.TitleOpts(title=\"Dead\", pos_left='center', pos_top='center',\n",
    "                                                   title_textstyle_opts=opts.TextStyleOpts(color='#FFFFFF'))))\n",
    "          \n",
    "deads_people = (Pie().set_global_opts(title_opts=opts.TitleOpts(title=(str(chinaTotal['totalDead']) + \"   \"),\n",
    "                                                          pos_top='15%', pos_left='center',\n",
    "                                                          subtitle=(\"         Added :\" + str(chinaAdd['AddedtotalDead'])),\n",
    "                                                          item_gap=1,\n",
    "                                                          title_textstyle_opts=opts.TextStyleOpts(color=\"#FF0000\",\n",
    "                                                                                                  font_size=30),\n",
    "                                                          subtitle_textstyle_opts=opts.TextStyleOpts(color=\"#F08080\")\n",
    "                                                          )))\n",
    "heals = (Pie().set_global_opts(title_opts=opts.TitleOpts(title=\"Heal\", pos_left='center', pos_top='center',\n",
    "                                                   title_textstyle_opts=opts.TextStyleOpts(color='#FFFFFF'))))\n",
    "heals_people = (Pie().set_global_opts(title_opts=opts.TitleOpts(title=(str(chinaTotal['totalHeal']) + \"   \"),\n",
    "                                                          pos_top='15%', pos_left='center',\n",
    "                                                          subtitle=(\"         Added :\" + str(chinaAdd['AddedtotalHeal'])),\n",
    "                                                          item_gap=1,\n",
    "                                                          title_textstyle_opts=opts.TextStyleOpts(color=\"#00FF00\",\n",
    "                                                                                                  font_size=30),\n",
    "                                                          subtitle_textstyle_opts=opts.TextStyleOpts(color=\"#98FB98\")\n",
    "                                                          )))\n",
    "\n",
    "confirm_liquid = (Liquid().add(\"confirm_ratio\", [(chinaTotal['totalConfirm'] / sum)], tooltip_opts=opts.TooltipOpts(),\n",
    "                 label_opts=opts.LabelOpts(color=\"#00FFFF\",\n",
    "                                       font_size=15,\n",
    "                                       formatter=JsCode(\n",
    "                                           \"\"\"function (param) {\n",
    "                     return (Math.floor(param.value * 10000) / 100) + '%';\n",
    "                 }\"\"\"\n",
    "                                       ),\n",
    "                                       position=\"inside\",\n",
    "                                       ),\n",
    "             )\n",
    ")\n",
    "\n",
    "suspect_liquid = (\n",
    "    Liquid()\n",
    "        .add(\"suspectRate\", [(chinaTotal['nowSuspect'] / sum)], tooltip_opts=opts.TooltipOpts(),\n",
    "             label_opts=opts.LabelOpts(color=\"#FF00FF\",\n",
    "                                       font_size=15,\n",
    "                                       formatter=JsCode(\n",
    "                                           \"\"\"function (param) {\n",
    "                     return (Math.floor(param.value * 10000) / 100) + '%';\n",
    "                 }\"\"\"\n",
    "                                       ),\n",
    "                                       position=\"inside\",\n",
    "                                       ),\n",
    "             )\n",
    ")\n",
    "\n",
    "dead_liquid = (\n",
    "    Liquid()\n",
    "        .add(\"deadRate\", [(chinaTotal['totalDead'] / sum)], tooltip_opts=opts.TooltipOpts(),\n",
    "             label_opts=opts.LabelOpts(color=\"#FF0000\",\n",
    "                                       font_size=15,\n",
    "                                       formatter=JsCode(\n",
    "                                           \"\"\"function (param) {\n",
    "                     return (Math.floor(param.value * 10000) / 100) + '%';\n",
    "                 }\"\"\"\n",
    "                                       ),\n",
    "                                       position=\"inside\",\n",
    "                                       ),\n",
    "             )\n",
    ")\n",
    "\n",
    "heal_liquid = (\n",
    "    Liquid()\n",
    "        .add(\"healRate\", [(chinaTotal['totalHeal'] / sum)], tooltip_opts=opts.TooltipOpts(),\n",
    "             label_opts=opts.LabelOpts(color=\"#00FF00\",\n",
    "                                       font_size=15,\n",
    "                                       formatter=JsCode(\n",
    "                                           \"\"\"function (param) {\n",
    "                     return (Math.floor(param.value * 10000) / 100) + '%';\n",
    "                 }\"\"\"\n",
    "                                       ),\n",
    "                                       position=\"inside\",\n",
    "                                       ),\n",
    "             )\n",
    ")\n",
    "\n",
    "wc = (\n",
    "    WordCloud()\n",
    "        .add(\"\", [list(z) for z in zip(list(city_data[\"city\"]), list(city_data[\"confirm\"]))],\n",
    "             word_gap=0, word_size_range=[10, 30]))\n",
    "\n",
    "# 图片汇总\n",
    "\n",
    "# page = (Page(page_title=\"2019-nCov\",layout=Page.DraggablePageLayout)\n",
    "page = (Page(page_title=\"2019-nCov\")\n",
    "        .add(world_map)\n",
    "        .add(total_pie)\n",
    "        .add(area_map)\n",
    "        .add(area_heat_geo)\n",
    "        .add(bar)\n",
    "        .add(big_title)\n",
    "        .add(times)\n",
    "        .add(confirms)\n",
    "        .add(confirms_people)\n",
    "        .add(suspects)\n",
    "        .add(suspects_people)\n",
    "        .add(deads)\n",
    "        .add(deads_people)\n",
    "        .add(heals)\n",
    "        .add(heals_people)\n",
    "        .add(confirm_liquid)\n",
    "        .add(suspect_liquid)\n",
    "        .add(dead_liquid)\n",
    "        .add(heal_liquid)\n",
    "        .add(wc)\n",
    "        .add(image_base())\n",
    "        ).render(\"2019-nCov-RealTime.html\")\n",
    "with open(\"2019-nCov-RealTime.html\", \"r+\", encoding='utf-8') as html:\n",
    "    html_bf = BeautifulSoup(html, 'lxml')\n",
    "    divs = html_bf.select('.chart-container')\n",
    "    divs[0][\n",
    "        \"style\"] = \"width:605px;height:274px;position:absolute;top:36px;left:333px;border-style:solid;border-color:#444444;border-width:0px;\"\n",
    "    divs[1][\n",
    "        'style'] = \"width:411px;height:303px;position:absolute;top:5px;left:0px;border-style:solid;border-color:#444444;border-width:0px;\"\n",
    "    divs[2][\n",
    "        \"style\"] = \"width:309px;height:405px;position:absolute;top:313px;left:961px;border-style:solid;border-color:#444444;border-width:0px;\"\n",
    "    divs[3][\n",
    "        \"style\"] = \"width:305px;height:405px;position:absolute;top:310px;left:0px;border-style:solid;border-color:#444444;border-width:0px;\"\n",
    "\n",
    "    divs[4][\n",
    "        \"style\"] = \"width:646px;height:304px;position:absolute;top:312px;left:312px;border-style:solid;border-color:#444444;border-width:0px;\"\n",
    "    divs[5][\n",
    "        \"style\"] = \"width:250px;height:55px;position:absolute;top:2px;left:440px;border-style:solid;border-color:#444444;border-width:0px;\"\n",
    "    divs[6][\n",
    "        \"style\"] = \"width:200px;height:30px;position:absolute;top:11px;left:675px;border-style:solid;border-color:#444444;border-width:0px;\"\n",
    "\n",
    "    divs[7][\n",
    "        'style'] = \"width:60px;height:75px;position:absolute;top:5px;left:1060px;border-style:solid;border-color:#DC143C;border-width:3px;border-radius:25px 0px 0px 0px\"\n",
    "    divs[8][\n",
    "        \"style\"] = \"width:130px;height:75px;position:absolute;top:5px;left:1120px;border-style:solid;border-color:#DC143C;border-width:3px;\"\n",
    "    divs[9][\n",
    "        \"style\"] = \"width:60px;height:75px;position:absolute;top:80px;left:1060px;border-style:solid;border-color:#DC143C;border-width:3px;\"\n",
    "    divs[10][\n",
    "        \"style\"] = \"width:130px;height:75px;position:absolute;top:80px;left:1120px;border-style:solid;border-color:#DC143C;border-width:3px;\"\n",
    "    divs[11][\n",
    "        \"style\"] = \"width:60px;height:75px;position:absolute;top:155px;left:1060px;border-style:solid;border-color:#DC143C;border-width:3px;\"\n",
    "    divs[12][\n",
    "        \"style\"] = \"width:130px;height:75px;position:absolute;top:155px;left:1120px;border-style:solid;border-color:#DC143C;border-width:3px;\"\n",
    "    divs[13][\n",
    "        \"style\"] = \"width:60px;height:75px;position:absolute;top:230px;left:1060px;border-style:solid;border-color:#DC143C;border-width:3px;\"\n",
    "    divs[14][\n",
    "        \"style\"] = \"width:130px;height:75px;position:absolute;top:230px;left:1120px;border-style:solid;border-color:#DC143C;border-width:3px;border-radius:0px 0px 25px 0px\"\n",
    "\n",
    "    divs[15][\n",
    "        \"style\"] = \"width:160px;height:160px;position:absolute;top:-35px;left:920px;border-style:solid;border-color:#444444;border-width:0px;\"\n",
    "    divs[16][\n",
    "        \"style\"] = \"width:160px;height:160px;position:absolute;top:40px;left:865px;border-style:solid;border-color:#444444;border-width:0px;\"\n",
    "    divs[17][\n",
    "        \"style\"] = \"width:160px;height:160px;position:absolute;top:115px;left:920px;border-style:solid;border-color:#444444;border-width:0px;\"\n",
    "    divs[18][\n",
    "        \"style\"] = \"width:160px;height:160px;position:absolute;top:188px;left:865px;border-style:solid;border-color:#444444;border-width:0px;\"\n",
    "    divs[19][\n",
    "        \"style\"] = \"width:1280px;height:120px;position:absolute;top:600px;left:0px;border-style:solid;border-color:#444444;border-width:0px;\"\n",
    "    divs[20][\n",
    "        \"style\"] = \"width:200px;height:200px;position:absolute;top:10px;left:1280px;border-style:solid;border-color:#444444;border-width:0px;\"\n",
    "    body = html_bf.find(\"body\")\n",
    "    body[\"style\"] = \"background-color:#333333;\"\n",
    "    print('$$$$$$$$$$$$$$$$$$$$$')\n",
    "    html_new = str(html_bf)\n",
    "    html.seek(0, 0)\n",
    "    \n",
    "    html.truncate()\n",
    "    print('???????????')\n",
    "    html.write(html_new)\n",
    "#    make_snapshot(snapshot, '2019-nCov数据一览2.html', \"2019-nCoV数据一览2.png\")\n",
    "    html.close()\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "line 16: mode: byte\n"
     ]
    }
   ],
   "source": [
    "from MyQR import myqr\n",
    "\n",
    "# myQR = myqr.run(\n",
    "#     words='https://geoseis.cn/CoV_en.html',\n",
    "#     # 扫描二维码后，显示的内容，或是跳转的链接\n",
    "#     version=5,  # 设置容错率\n",
    "#     level='H',  # 控制纠错水平，范围是L、M、Q、H，从左到右依次升高\n",
    "#     picture=r'C:\\Users\\xuzhen\\Pictures\\0.jpg',  # 图片所在目录，可以是动图\n",
    "#     colorized=True,  # 黑白(False)还是彩色(True)\n",
    "#     contrast=1.0,  # 用以调节图片的对比度，1.0 表示原始图片。默认为1.0。\n",
    "#     brightness=1.0,  # 用来调节图片的亮度，用法同上。\n",
    "#     save_name=r'C:\\Users\\xuzhen\\Pictures\\Python.gif',  # 控制输出文件名，格式可以是 .jpg， .png ，.bmp ，.gif\n",
    "    \n",
    "from MyQR import myqr\n",
    "import os\n",
    " \n",
    "version, level, qr_name = myqr.run(\n",
    "    words=\"https://geoseis.cn/CoV_en.html\",          # 可以是字符串，也可以是网址(前面要加http(s)://)\n",
    "    version=1,                              # 设置容错率为最高\n",
    "    level='H',                              # 控制纠错水平，范围是L、M、Q、H，从左到右依次升高\n",
    "    picture=\"C:/Users/xuzhen/Pictures/0.jpg\",                           # 将二维码和图片合成\n",
    "    colorized=True,                         # 彩色二维码\n",
    "    contrast=1.0,                           #用以调节图片的对比度，1.0 表示原始图片，更小的值表示更低对比度，更大反之。默认为1.0\n",
    "    brightness=1.0,                         #用来调节图片的亮度，其余用法和取值同上\n",
    "    save_name=\"C:/Users/xuzhen/Pictures/python.gif\",                     # 保存文件的名字，格式可以是jpg,png,bmp,gif\n",
    "    save_dir=os.getcwd()                    #控制位置\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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