Shulou(Shulou.com)06/03 Report--

This article is about how Python3 can monitor the epidemic situation of COVID-19. The editor thinks it is very practical, so share it with you as a reference and follow the editor to have a look.

The code is as follows:

Import requestsimport jsonfrom pyecharts.charts import Map, Geofrom pyecharts import options as optsfrom pyecharts.globals import GeoType, RenderTypeurl = 'https://view.inews.qq.com/g2/getOnsInfo?name=disease_h6'datas = json.loads (requests.get (url=url). Json () [' data']) china = datas ['areaTree'] [0] [' children'] data = [] for i in range (len (china)): data.append China [I] ['total'] [' confirm']]) confirm = datas ['chinaTotal'] [' confirm'] suspect = datas ['chinaTotal'] [' suspect'] dead = datas ['chinaTotal'] [' dead'] heal = datas ['chinaTotal'] [' heal'] lastUpdateTime = datas ['lastUpdateTime'] print (confirm, suspect, dead LastUpdateTime) china_total = "confirmed:" + str (confirm) + "suspected:" + str (suspect) + "death:" + str (dead) + "cure:" + str (heal) + "Update date:" + lastUpdateTimegeo = (Geo (init_opts=opts.InitOpts (width= "1200px", height= "600px", bg_color= "# 404a59", page_title= "National epidemic Real-time report", renderer=RenderType.SVG, theme= "white")) # set drawing size Background color, page title, drawing type. Add _ schema (maptype= "china", itemstyle_opts=opts.ItemStyleOpts (color= "rgb (49 data_pair=data 60 data_pair=data 72)", border_color= "rgb (0memo 0)") # Map of China, map area color, region boundary color. Add (series_name= "geo", data_pair=data, type_=GeoType.EFFECT_SCATTER) # sets map data Animate the ripple special effects effect scatter.set_series_opts (# set series configuration label_opts=opts.LabelOpts (is_show=False), # do not display Labeleffect_opts=opts.EffectOpts (scale=6)) # set ripple special effect scaling .set _ global_opts (# set global series configuration # visualmap_opts=opts.VisualMapOpts (min_=0, max_=sum / len (datas)), # set visual image configuration The maximum value is the average title_opts=opts.TitleOpts (title= "National epidemic Map", subtitle=china_total, pos_left= "center", pos_top= "10px", title_textstyle_opts=opts.TextStyleOpts (color= "# fff")), # set title, subtitle, title location, text color legend_opts=opts.LegendOpts (is_show=False), # do not show legend) geo.render (path= ". / render.html") Thank you for reading! This is the end of the article on "how to monitor the epidemic situation of COVID-19 by Python3". I hope the above content can be of some help to you, so that you can learn more knowledge. if you think the article is good, you can share it for more people to see!

Welcome to subscribe "Shulou Technology Information " to get latest news, interesting things and hot topics in the IT industry, and controls the hottest and latest Internet news, technology news and IT industry trends.