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()

总结

以上所述是小编给大家介绍的python 爬取疫情数据的源码，希望对大家有所帮助！