项目一、疫情统计可视化

代码如下

from flask import Flask
from flask import render_template
from jinja2 import Markup, Environment, FileSystemLoader
from pyecharts.globals import CurrentConfig
from pyecharts.charts import Pie
from pyecharts.charts import Bar
from pyecharts.charts import Map
from pyecharts import options as opts
from pyecharts.options import *
import requests
import json
import numpy as np
import sys
from pyecharts.charts import Page

def spider_info(url):
    headers = {
    'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/88.0.4324.182 Safari/537.36'
    }
    response = requests.request(method='get', url=url, headers=headers)
    return json.loads(response.text) if response.status_code == 200 else None

# 获取国内统计数据【 境外输入 现有确诊 确诊 治愈 死亡】
def get_daily_data():
    data = spider_info("https://view.inews.qq.com/g2/getOnsInfo?name=disease_h5")
    if data is None:
        return ''
    dict = json.loads(data['data'])
    Update_Time = dict['lastUpdateTime']
    province_res = []
    for province in dict['areaTree'][0]['children']:
        name = province['name']
        now_confirm = province['total']['nowConfirm']
        confirm = province['total']['confirm']
        heal = province['total']['heal']
        dead = province['total']['dead']
        import_abroad = 0
        for item in province['children']:
            if item['name'] == '境外输入':
                import_abroad = item['total']['confirm']
                break
        province_res.append([name, import_abroad, now_confirm, confirm, heal, dead])
    return {'chinaTotal': dict['chinaTotal'], 'chinaAdd': dict['chinaAdd'], 'province': province_res}

# 获取各个国家当前【新增、确诊、治愈、死亡】数据
def get_foreign_data():
    data = spider_info('https://api.inews.qq.com/newsqa/v1/automation/foreign/country/ranklist')
    if data is None:
        return ''
    return [[item['name'], item['confirmAdd'], item['confirm'], item['heal'], item['dead']] for item in data['data']]

def china_map():
    daily_data = get_daily_data()
    data = zip(np.array(daily_data['province'])[:, 0], np.array(daily_data['province'])[:, 2])
    data_list = []
    for i in list(data):
        data_list.append(list(i))
    map = Map()
    textstyle_opts = TextStyleOpts(color='black')
    tooltip_opts = opts.TooltipOpts(background_color='yellow', textstyle_opts=textstyle_opts)
    label_opts = opts.LabelOpts(color='red')
    itemstyle_opts = ItemStyleOpts(color='blue', border_color='blue', area_color='green')
    map.add("现有确诊人数", data_list, "china", label_opts=label_opts, tooltip_opts=tooltip_opts, itemstyle_opts=itemstyle_opts)
    map.set_global_opts(title_opts=opts.TitleOpts(title="疫情各省情况分布"))
    map.render("D:\WorkSpace\WorkSpace\FlaskL\firstapp\templates\map.html")
    return map

def china_pie():
    daily_data = get_daily_data()['chinaTotal']
    data = [daily_data['heal'], daily_data['dead'], daily_data['nowConfirm']]
    label = ['总共治愈人数', '总共死亡人数', '现有确诊人数']
    data_pair = []
    for i in zip(label,data):
        data_pair.append(i)
    pie = Pie()
    pie.add(series_name='总共统计', data_pair=data_pair)
    #pie.add(series_name='总共统计', data_pair=data_pair, radius=["30%", "75%"], center=["25%", "50%"], rosetype="radius")
    pie.set_global_opts(title_opts=opts.TitleOpts(title="疫情总共统计"))
    pie.set_series_opts(label_opts=opts.LabelOpts(formatter="{b}: {c}"))
    pie.render("D:\WorkSpace\WorkSpace\FlaskL\firstapp\templates\pie.html")
    return pie

pie = china_pie()
map = china_map()
page = Page(page_title='HTML',
            layout=opts.PageLayoutOpts(justify_content='space-around', display='flex', flex_wrap='nowrap'))
page.add(pie,map)
page.render("pie_map.html")

app = Flask(__name__, static_folder="templates")

@app.route("/")
def index():
    return Markup(page.render_embed())

if __name__ == '__main__':
    app.run(debug=True)

结果呈现

 代码优化：