这篇文章给大家分享的是有关python如何爬取疫情数据的内容。小编觉得挺实用的，因此分享给大家做个参考，一起跟随小编过来看看吧。
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程序源码
// An highlighted block
import requests
import json
class 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_h6'
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()感谢各位的阅读！关于“python如何爬取疫情数据”这篇文章就分享到这里了，希望以上内容可以对大家有一定的帮助，让大家可以学到更多知识，如果觉得文章不错，可以把它分享出去让更多的人看到吧！
