Python 爬蟲練習低調163疫情數據遼寧地圖

#encoding=utf-8
import re
import time
from fake_useragent import UserAgent
from pyecharts.charts import Map
from pyecharts import options as opts
import requests
import json

ua = UserAgent()
headers = {'User-Agent': ua.random}
url = "https://c.m.163.com/ug/api/wuhan/app/index/feiyan-data-list?t=1580469818264"

#爬取疫情數據
def geturl(url):
    try:
        response = requests.get(url,headers=headers)
        print(response.status_code)
        if response.status_code == 200:
            content_field = json.loads(response.text)
            list_datas_1 = content_field['data']['list']
            return list_datas_1
        else:
            print('返回代碼：'+response.status_code)
            return None
    except Exception as e:
        print('此頁有問題！',e)
        return None

#制作疫情地圖
def makemap(dict):
    # 省和直轄市
    province_distribution = dict
    value=province_distribution.values()
    # maptype='china' 只顯示全國直轄市和省級
    title = str(int(time.strftime("%Y%m%d"))-1)+"遼寧疫情地圖"
    map = Map()
    map.set_global_opts(
        title_opts=opts.TitleOpts(title=title),
        visualmap_opts=opts.VisualMapOpts(max_=200, is_piecewise=True,
                                        pieces=[
                                            {"max": 30, "min": 16, "label": ">16", "color": "#780707"},   #數據范圍分段，分顏色，可以根據數據大小具體分配大小
                                            {"max": 15, "min": 11, "label": "15-11", "color": "#8A0808"},
                                            {"max": 10, "min": 9, "label": "10-9", "color": "#B40404"},
                                            {"max": 8, "min": 7, "label": "8-7", "color": "#CD1111"},
                                            {"max": 6, "min": 5, "label": "6-5", "color": "#DF0101"},
                                            {"max": 4, "min": 3, "label": "4-3", "color": "#F68181"},
                                            {"max": 2, "min": 1, "label": "2-1", "color": "#F5A9A9"},
                                            {"max": 0, "min": 0, "label": "0", "color": "#FFFFFF"},
                                            ], )  #最大數據范圍，分段
        )
    map.add(title, data_pair=province_distribution.items(), maptype="遼寧", is_roam=True)
    map.render('遼寧疫情地圖.html')

#生成本省疫情列表
def makedict(list):
    dict1 = {}
    for item in list:
        for k,v in item.items():
            if( v == "遼寧"):   
                dict1[item['name']+'市'] = int(item["confirm"])
    return dict1


if __name__ == '__main__':
    list_data = geturl(url)
    print(list_data)
    dict_data = makedict(list_data)
    print("-----分割線-----")
    print(dict_data)
    makemap(dict_data)