python 爬取疫情数据的源码

疫情数据

程序源码

// An highlighted blockimport requestsimport jsonclass epidemic_data():  def __init__(self, province):    self.url = url    self.header = header    self.text = {}    self.province = province    # self.r=None  def down_page(self):    r = requests.get(url=url, headers=header)    self.text = r.text    # self.r = r  def parse_page(self):    # print(type(self.r.json()['data']))    # 因为解析数据为 data 前有一个""，所以数据类型为string    data_str = json.loads(self.text)['data'] #sring    # print(type(data_dict))    # print(type(data_dict['data']))    # 将str 转化为对象    data_json = json.loads(data_str)    data_tree_dict = data_json['areaTree'][0]['children'] # 取中国的省列表    prt_str = []    prt_str.append("数据更新时间："+data_json['lastUpdateTime'])    prt_str.append("全国" + ":" + "累计确诊病例：" + str(data_json['chinaTotal']['confirm']) + /            "累计疑似病例：" + str(data_json['chinaTotal']['suspect']) + /            "累计死亡病例：" + str(data_json['chinaTotal']['dead']) + /            "累计出院病例：" + str(data_json['chinaTotal']['heal']) + /            "今日新增确诊病例：" + str(data_json['chinaAdd']['confirm']) + /            "今日新增疑似病例：" + str(data_json['chinaAdd']['suspect']) + /            "今日新增死亡病例：" + str(data_json['chinaAdd']['dead']) + /            "今日新增出院病例：" + str(data_json['chinaAdd']['heal']))    for province_list in data_tree_dict:      for provice_name in self.province:        if provice_name in province_list['name']:          city_list = province_list['children']          prt_str.append(province_list['name'] + ":" + "累计确诊病例：" + str(province_list['total']['confirm']) + /                    "累计死亡病例：" + str(province_list['total']['dead']) + /                    "累计出院病例：" + str(province_list['total']['heal']) + /                    "今日新增确诊病例：" + str(province_list['today']['confirm']) + /                    "今日新增死亡病例：" + str(province_list['today']['dead']) + /                    "今日新增出院病例：" + str(province_list['today']['heal']))          if provice_name == '山东':            for data_dict in city_list:              prt_str.append(data_dict['name'] + ":" + "累计确诊病例：" + str(data_dict['total']['confirm']) + /                      "累计死亡病例：" + str(data_dict['total']['dead']) + /                      "累计出院病例：" + str(data_dict['total']['heal']) + /                      "今日确诊病例：" + str(data_dict['today']['confirm']) + /                      "今日死亡病例：" + str(data_dict['today']['dead']) + /                      "今日出院病例：" + str(data_dict['today']['heal']))    for item in prt_str:      print(item)    a = data_tree_dict    # print(type(data_tree_dict['chinaTotal']))    # print(data_tree_dict.keys())  def write_page(self):    pass  def show(self):    pass  def show(self):    self.down_page()    self.parse_page()if __name__ == '__main__':  url = 'https://view.inews.qq.com/g2/getOnsInfo?name=disease_h5'  header = {    'user - agent': 'Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/79.0.3945.130 Safari/537.36'  }  province = ['湖北','山东']  wf = epidemic_data(province)  wf.show()