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corona_virus_BI_chinese.py
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import json
import requests
import pandas as pd
from pyecharts.charts import *
from pyecharts import options as opts
from pyecharts.commons.utils import JsCode
from pyecharts.globals import ThemeType, ChartType
from bs4 import BeautifulSoup
from pyecharts.render import make_snapshot
from snapshot_selenium import snapshot
from retrying import retry
import random
from pyecharts.datasets.coordinates import get_coordinate, search_coordinates_by_keyword
# 抓取数据(2020年2月24日更新：腾讯网页有变化，新增一个网页存放新增数据)
url = 'https://view.inews.qq.com/g2/getOnsInfo?name=disease_h5&callback='
URL = 'https://view.inews.qq.com/g2/getOnsInfo?name=disease_other&callback='
user_agents = ['Mozilla/5.0 (Windows NT 6.1; WOW64; rv:23.0) Gecko/20130406 Firefox/23.0', \
'Mozilla/5.0 (Windows NT 6.1; WOW64; rv:18.0) Gecko/20100101 Firefox/18.0', \
'Mozilla/5.0 (Windows; U; Windows NT 6.1; en-US) AppleWebKit/533+ \
(KHTML, like Gecko) Element Browser 5.0', \
'IBM WebExplorer /v0.94', 'Galaxy/1.0 [en] (Mac OS X 10.5.6; U; en)', \
'Mozilla/5.0 (compatible; MSIE 10.0; Windows NT 6.1; WOW64; Trident/6.0)', \
'Opera/9.80 (Windows NT 6.0) Presto/2.12.388 Version/12.14', \
'Mozilla/5.0 (iPad; CPU OS 6_0 like Mac OS X) AppleWebKit/536.26 (KHTML, like Gecko) \
Version/6.0 Mobile/10A5355d Safari/8536.25', \
'Mozilla/5.0 (Windows NT 6.1) AppleWebKit/537.36 (KHTML, like Gecko) \
Chrome/28.0.1468.0 Safari/537.36', \
'Mozilla/5.0 (compatible; MSIE 9.0; Windows NT 6.0; Trident/5.0; TheWorld)'\
'Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/59.0.3071.86 Safari/537.36']
headers= {
"Accept": "text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,image/apng,*/*;q=0.8",
"Accept-Encoding": "gzip, deflate, br",
"Accept-Language": "zh-CN,zh;q=0.8",
"Cache-Control": "max-age=0",
"Connection": "keep-alive",
"Upgrade-Insecure-Requests": "1",
"Content-Type": "application/x-www-form-urlencoded; charset=UTF-8",
"User-Agent": random.choice(user_agents)}
try:
response = requests.get(url, proxies={'http': 'http://127.0.0.1:1080','https': 'https://127.0.0.1:1080'},\
headers = headers , timeout = 30)
response2 = requests.get(URL, proxies={'http': 'http://127.0.0.1:1080','https': 'https://127.0.0.1:1080'},\
headers = headers , timeout = 30)
res = response.json()
res2 = response2.json()
response_test = requests.get('http://httpbin.org/get', proxies={'http': 'http://127.0.0.1:1080','https': 'https://127.0.0.1:1080'},\
headers=headers, timeout=30)
print('ip test:',response_test.text)
print(url)
print(URL)
response.raise_for_status()
response2.raise_for_status()
response.encoding = response.apparent_encoding
response2.encoding = response2.apparent_encoding
#print(response.text)
except requests.exceptions.RequestException as e:
print('*'*50,str(e))
print(time.strftime('%Y-%m-%d %H:%M:%S'))
time.sleep(random.random()*3)
soup = BeautifulSoup(response.text, "lxml")
soup2 = BeautifulSoup(response2.text, "lxml")
#soup.prettify()
#soup2.prettify()
# print(soup.prettify())
# print("pretty print done!!!!!!!!!!!!!!!!")
# print('\n')
# print(soup2.prettify())
# print("pretty2 print done!!!!!!!!!!!!!!!!")
# print('\n')
#response = requests.get('https://view.inews.qq.com/g2/getOnsInfo?name=disease_h5&callback=').json()
data = json.loads(res['data'])
data2 = json.loads(res2['data'])
#print('data:#######################',data)
# print('\n')
# print('data2:#######################',data2)
# print('\n')
#'chinaTotal': {'confirm': 78959, 'heal': 36157, 'dead': 2791, 'nowConfirm': 40011, 'suspect': 2308, 'nowSevere': 7952}, 'chinaAdd': {'confirm': 329, 'heal': 3626, 'dead': 44, 'nowConfirm': -3341, 'suspect': -50, 'nowSevere': -394}, 'isShowAdd': True, 'showAddSwitch': {'all': True, 'confirm': True, 'suspect': True, 'dead': True, 'heal': True, 'nowConfirm': True, 'nowSevere': True}, 'areaTree': [{'name': '中国', 'today': {'confirm': 329, 'isUpdated': True}, 'total': {'confirm': 78959, 'suspect': 2308, 'dead': 2791, 'deadRate': '3.53', 'showRate': False, 'heal': 36157, 'healRate': '45.79', 'showHeal': True}, 'children': [{'name': '湖北', 'today': {'confirm': 318, 'confirmCuts': 0, 'isUpdated': True}, 'total': {'confirm': 65914, 'suspect': 0, 'dead': 2682, 'deadRate': '4.07', 'showRate': False, 'heal': 26403, 'healRate': '40.06', 'showHeal': True}, 'children': [{'name': '武汉', 'today': {'confirm': 313, 'confirmCuts': 0, 'isUpdated': True}, 'total': {'confirm': 48137, 'suspect': 0, 'dead': 2132, 'deadRate': '4.43', 'showRate': False, 'heal': 15826, 'healRate': '32.88', 'showHeal': True}},
# 国内
lastUpdateTime = data['lastUpdateTime']
chinaTotal = data['chinaTotal']
chinaTotal['累计确诊'] = chinaTotal['confirm']
chinaTotal['累计死亡'] = chinaTotal['dead']
chinaTotal['累计治愈'] = chinaTotal['heal']
chinaTotal['现有疑似'] = chinaTotal['suspect']
chinaTotal['现有确诊'] = chinaTotal['nowConfirm']
chinaTotal['现有重症'] = chinaTotal['nowSevere']
del chinaTotal['confirm']
del chinaTotal['dead']
del chinaTotal['heal']
del chinaTotal['suspect']
del chinaTotal['nowConfirm']
del chinaTotal['nowSevere']
sum = chinaTotal['累计确诊'] + chinaTotal['现有疑似']
chinaAdd = data['chinaAdd']
chinaAdd['新增累计确诊'] = chinaAdd['confirm']
chinaAdd['新增累计死亡'] = chinaAdd['dead']
chinaAdd['新增累计治愈'] = chinaAdd['heal']
chinaAdd['新增现有疑似'] = chinaAdd['suspect']
chinaAdd['新增现有确诊'] = chinaAdd['nowConfirm']
chinaAdd['新增现有重症'] = chinaAdd['nowSevere']
del chinaAdd['confirm']
del chinaAdd['dead']
del chinaAdd['heal']
del chinaAdd['suspect']
del chinaAdd['nowConfirm']
del chinaAdd['nowSevere']
areaTree = data['areaTree']
china_data = areaTree[0]['children'] #province block
china_list = []
for x in range(len(china_data)):
province = china_data[x]['name'] #province name
province_list = china_data[x]['children'] #city blocks under a province
for y in range(len(province_list)): #loop city lists under a province
city = province_list[y]['name'] #city names
total = province_list[y]['total'] #累计数据 under 'total' block it's a list of statistics: confirm/suspect/dead/heal
today = province_list[y]['today'] #新增数据 for a city: today's info (confirm under 'today' block means no. confirmed for that city)
china_dict = {'province': province, 'city': city, 'total': total, 'today': today}
china_list.append(china_dict)
foreign_data = data2['foreignList']
country_List = []
for y in range(len(foreign_data)):
country_List.append(foreign_data[y]['name'])
# for z in country_list:
# \"confirmAdd\":851,\"confirmAddCut\":0,\"confirm\":5186,\"suspect\":0,\"dead\":31,\"heal\":31,
print('country list:{}'.format(country_List))
# 定义数据处理函数
#累计确诊
def confirm(x):
confirm = eval(str(x))['confirm']
return confirm
#累计死亡
def dead(x):
dead = eval(str(x))['dead']
return dead
#累计治愈
def heal(x):
heal = eval(str(x))['heal']
return heal
# 现有疑似
def suspect(x):
suspect = eval(str(x))['suspect']
return suspect
# 现有确诊
def nowConfirm(x):
nowConfirm = eval(str(x))['nowConfirm']
return nowConfirm
# 现有重症
def nowSevere(x):
nowSevere = eval(str(x))['nowSevere']
return nowSevere
# 现有疑似
def deadRate(x):
deadRate = eval(str(x))['deadRate']
return deadRate
# 现有疑似
def healRate(x):
healRate = eval(str(x))['healRate']
return healRate
china_data = pd.DataFrame(china_list)
#print('china_data:##########')
#print(china_data.head())
# 函数映射
#累计确诊/死亡/治愈
china_data['confirm'] = china_data['total'].map(confirm)
china_data['dead'] = china_data['total'].map(dead)
china_data['heal'] = china_data['total'].map(heal)
#现有疑似/确诊/重症/
china_data['suspect'] = china_data['total'].map(suspect)
# china_data['nowConfirm'] = china_data['total'].map(nowConfirm)
# china_data['nowSevere'] = china_data['total'].map(nowSevere)
#新增累计确诊/死亡/治愈
china_data['addconfirm'] = china_data['today'].map(confirm)
# china_data['adddead'] = china_data['today'].map(dead)
# china_data['addheal'] = china_data['today'].map(heal)
#新增现有疑似/确诊/重症
# china_data['addsuspect'] = china_data['today'].map(suspect)
# china_data['addnowConfirm'] = china_data['today'].map(addnowConfirm)
# china_data['addnowSevere'] = china_data['today'].map(addnowSevere)
china_data['deadRate'] = china_data['total'].map(deadRate)
china_data['healRate'] = china_data['total'].map(healRate)
china_data = china_data[
["province", "city", "confirm", "suspect", "dead", "heal", "addconfirm"]] #info N/A today: "addsuspect", "adddead", "addheal"
#china_data.head()
#Global数据处理
foreignList = pd.DataFrame(data2['foreignList'])
print('foreignList: {}'.format(foreignList))
foreign_data = list(zip(foreignList['name'], foreignList['confirm']))
print('foreign_data: {}'.format(foreign_data))
global_data = pd.DataFrame(data2['foreignList'])
# global_data['confirm'] = global_data['name'].map(confirm)
# global_data['suspect'] = global_data['name'].map(suspect)
# global_data['dead'] = global_data['name'].map(dead)
# global_data['heal'] = global_data['name'].map(heal)
# global_data['deadRate'] = global_data['total'].map(deadRate)
# global_data['healRate'] = global_data['total'].map(healRate)
# global_data['addconfirm'] = global_data['name'].map(confirmAdd)
#print(type(global_data))
#print("global data before merge:######################", global_data)
print('\n')
global_data = pd.DataFrame(foreign_data, columns=['name','confirm'])
#global_data.reindex(global_data['name'])
#print(global_data)
tmp_jp = global_data.loc[4,'confirm'] + global_data.loc[3,'confirm']
print("日本本土+钻石号邮轮:-----------",tmp_jp)
#加一行‘日本’
global_data.loc[len(global_data)+1] = ('日本',tmp_jp)
global_data.loc[len(global_data)+2] = ('中国', chinaTotal['累计确诊'])
world_name = pd.read_excel("国家中英文对照Echarts_clean_name.xlsx")
#print("df_global_data2merge: ########## ", global_data)
#print(world_name)
global_data = pd.merge(global_data, world_name, left_on="name", right_on="中文", how="inner")
print("global data after merge:######################", global_data)
# global_data = global_data[
# ["name", "英文", "confirm", "suspect", "dead", "heal", "addconfirm"]] # info N/A today: "addsuspect", "adddead", "addheal"]]
# global_data.head()
# 日数据处理
chinaDayList = pd.DataFrame(data2['chinaDayList'])
chinaDayList = chinaDayList[['confirm', 'suspect', 'dead','heal','nowConfirm', 'nowSevere', 'deadRate', 'healRate','date']] #deadRate是网页隐藏元素！
#chinaDayList.head()
# 日新增数据处理
chinaDayAddList = pd.DataFrame(data2['chinaDayAddList'])
chinaDayAddList = chinaDayAddList[[ 'confirm', 'suspect', 'dead', 'heal', 'deadRate', 'healRate','date']]
#chinaDayAddList.head()
# 数据可视化
#print("chinaTotal.values:")
#print(chinaTotal.values())
chinaTotal_p1 = [chinaTotal['累计确诊'], chinaTotal['累计死亡'], chinaTotal['累计治愈']]
chinaTotal_p2 = [chinaTotal['现有疑似'], chinaTotal['现有确诊'], chinaTotal['现有重症']]
# 饼图
total_pie = (
Pie(init_opts=opts.InitOpts(theme=ThemeType.LIGHT, width='500px', height='350px', bg_color="transparent"))
.add("", [list(z) for z in zip(['累计确诊 ', '累计死亡 ', '累计治愈 '], chinaTotal_p1)],
center=["48%", "60%"], radius=[80, 95], )
.add("", [list(z) for z in zip(['现有疑似 ', '现有确诊 ', '现有重症 '], chinaTotal_p2)],
center=["48%", "60%"], radius=[50, 65], )
.add("", [list(z) for z in zip(chinaAdd.keys(), chinaAdd.values())], center=["48%", "60%"], radius=[0, 35])
.set_global_opts(title_opts=opts.TitleOpts(title="全国总量", pos_bottom=0,
title_textstyle_opts=opts.TextStyleOpts(color="#00FFFF")),
legend_opts=opts.LegendOpts(textstyle_opts=opts.TextStyleOpts(color="#FFFFFF")))
.set_series_opts(label_opts=opts.LabelOpts(formatter="{b}:{c}")))
#print("global_data:################ ",global_data)
print('\n')
# 全球疫情地图
world_map = (
Map(init_opts=opts.InitOpts(theme=ThemeType.WESTEROS))
.add("", [list(z) for z in zip(list(global_data["英文"]), list(global_data["confirm"]))], "world",
is_map_symbol_show=False)
.set_series_opts(label_opts=opts.LabelOpts(is_show=False),
toolbox_opts=opts.ToolboxOpts(orient='vertical', pos_right="10%"))
.set_global_opts(visualmap_opts=opts.VisualMapOpts(is_piecewise=True, background_color="transparent",
textstyle_opts=opts.TextStyleOpts(color="#F5FFFA"),
pieces=[
{"min": 101, "label": '>100', "color": "#893448"},
{"min": 10, "max": 100, "label": '10-100',
"color": "#fb8146"},
{"min": 1, "max": 9, "label": '1-9',
"color": "#fff2d1"},
])))
# 中国疫情地图绘制
# 数据处理
#省份汇总数据也可以直接读取
area_data = china_data.groupby("province")["confirm"].sum().reset_index()
area_data.columns = ["province", "confirm"]
area_map = (
Map(init_opts=opts.InitOpts(theme=ThemeType.WESTEROS))
.add("", [list(z) for z in zip(list(area_data["province"]), list(area_data["confirm"]))], "china",
is_map_symbol_show=False, label_opts=opts.LabelOpts(color="#fff"),
tooltip_opts=opts.TooltipOpts(is_show=True), zoom=1.2, center=[105, 30])
.set_series_opts(label_opts=opts.LabelOpts(is_show=False))
.set_global_opts(title_opts=opts.TitleOpts(title="中国疫情分布图", pos_top='5%',
title_textstyle_opts=opts.TextStyleOpts(color="#FF0000")),
visualmap_opts=opts.VisualMapOpts(is_piecewise=True, pos_right=0, pos_bottom=0,
textstyle_opts=opts.TextStyleOpts(color="#F5FFFA"),
pieces=[
{"min": 1001, "label": '>1000', "color": "#893448"},
{"min": 500, "max": 1000, "label": '500-1000',
"color": "#ff585e"},
{"min": 101, "max": 499, "label": '101-499',
"color": "#fb8146"},
{"min": 10, "max": 100, "label": '10-100',
"color": "#ffb248"},
{"min": 0, "max": 9, "label": '0-9',
"color": "#fff2d1"}])))
city_data = china_data.groupby('city')['confirm'].sum().reset_index()
city_data.columns = ["city", "confirm"]
def is_city(item):
'''
判断一个城市能否在Geo地图上被找到
:param item: 城市名
:return: T/F
'''
lists_1 = []
lists_1.append(item)
lists_2 = [10]
geo = Geo()
geo.add_schema(maptype="china")
try:
geo.add("确诊城市", [list(z) for z in zip(lists_1, lists_2)])
return True
except TypeError as e:
return False
city_index = []
i = 0
for item in city_data['city']:
if is_city(item) == False:
city_index.append(i)
i += 1
print("未通过geos函数的城市:$$$$$$$$$$$$$$$$$$", city_data['city'][city_index])
# 设置匹配阈值
#COORDINATES.cutoff = 0.7
#print(search_coordinates_by_keyword(city_area_list[10][:2]))
##############清除不存在的地点，否则Geo会报错###############
# 城市坐标处理，清洗数据需要注意模糊查询
for x in city_index:
del (city_data['city'][x])
del (city_data['confirm'][x])
#严重确诊城市：
city_index_ = []
i = 0
for item in city_data['confirm']:
if item > 500:
city_index_.append(i)
i += 1
serious_city = [] # 严重城市
serious_submit = [] # 严重人数
for y in city_index_:
serious_city.append(list(city_data['city'])[y])
serious_submit.append(list(city_data['confirm'])[y])
#一般确诊城市：
city_index__ = []
i = 0
for item in city_data['confirm']:
if item < 1001:
city_index__.append(i)
i += 1
cfm_city = [] # 一般确诊城市
cfm_submit = [] # 一般确诊人数
for z in city_index__:
cfm_city.append(list(city_data['city'])[z])
cfm_submit.append(list(city_data['confirm'])[z])
list_1 = ["拉萨"]
list_2 = [1]
print('\n')
print("print serious city############:")
#print(serious_city,serious_submit)
print([list(z) for z in zip(list(serious_city), list(serious_submit))])
print('\n')
print("一般确诊城市:########")
print([list(z) for z in zip(cfm_city, cfm_submit)])
print('###########################\n')
area_heat_geo = (
Geo(init_opts=opts.InitOpts(theme=ThemeType.WESTEROS, bg_color='transparent'))
.add_schema(maptype="china", zoom=1.2, center=[105, 30])
.add("一般确诊城市", [list(z) for z in zip(cfm_city, cfm_submit)], symbol_size=6)
.add("一般确诊城市", [list(z) for z in zip(list_1, list_2)], symbol_size=6) # 孤独拉萨
.add("一般确诊城市", [list(z) for z in zip(list(serious_city), list(serious_submit))], # 感染者超1000的城市
type_=ChartType.EFFECT_SCATTER, effect_opts=opts.EffectOpts(is_show=True, color="black",
symbol_size=10, scale=3, period=1))
.add("严重城市", [list(z) for z in zip(list(serious_city), list(serious_submit))],type_=ChartType.HEATMAP)
.set_series_opts(label_opts=opts.LabelOpts(is_show=False))
.set_global_opts(
visualmap_opts=opts.VisualMapOpts(range_size=[0, 10, 50, 100, 200, 500, 50000], orient='horizontal', max_=500,is_calculable=True,
pos_bottom=0),
title_opts=opts.TitleOpts(title="中国疫情分布热图", pos_top='5%'),
legend_opts=opts.LegendOpts(pos_bottom='10%', pos_left=0)))
# 每日数据趋势
line = (
Line(init_opts=opts.InitOpts(theme=ThemeType.CHALK, bg_color="transparent"))
.add_xaxis(list(chinaDayList["date"]))
.add_yaxis("累计确诊 ", list(chinaDayList["confirm"]), is_smooth=True, yaxis_index=1)
.add_yaxis("累计死亡 ", list(chinaDayList["dead"]), is_smooth=True, yaxis_index=1)
.add_yaxis("累计治愈 ", list(chinaDayList["heal"]), is_smooth=True, yaxis_index=1)
.add_yaxis("现有疑似 ", list(chinaDayList["suspect"]), is_smooth=True, yaxis_index=1)
.add_yaxis("现有确诊 ", list(chinaDayList["nowConfirm"]), is_smooth=True, yaxis_index=1)
.add_yaxis("现有重症 ", list(chinaDayList["nowSevere"]), is_smooth=True, yaxis_index=1)
.add_yaxis("死亡率 ", list(chinaDayList["deadRate"]), is_smooth=True, yaxis_index=1)
.add_yaxis("治愈率", list(chinaDayList["healRate"]), is_smooth=True, yaxis_index=1)
.set_series_opts(label_opts=opts.LabelOpts(is_show=False))
.set_global_opts(legend_opts=opts.LegendOpts(pos_left='center')))
bar = (
Bar(init_opts=opts.InitOpts(theme=ThemeType.CHALK, bg_color="transparent"))
.add_xaxis(list(chinaDayAddList["date"]))
.add_yaxis("单日新增确诊 ", list(chinaDayAddList["confirm"]))
.add_yaxis("单日新增疑似 ", list(chinaDayAddList["suspect"]))
.add_yaxis("单日新增死亡 ", list(chinaDayAddList["dead"]))
.add_yaxis("单日新增治愈", list(chinaDayAddList["heal"]))
.extend_axis(yaxis=opts.AxisOpts(axislabel_opts=opts.LabelOpts(formatter="{value}")))
.set_series_opts(label_opts=opts.LabelOpts(is_show=False))
.set_global_opts(legend_opts=opts.LegendOpts(pos_left='center'),
yaxis_opts=opts.AxisOpts(axislabel_opts=opts.LabelOpts(formatter="{value}")),
datazoom_opts=opts.DataZoomOpts())).overlap(line)
big_title = (
Pie()
.set_global_opts(
title_opts=opts.TitleOpts(title="2019-nCov",
title_textstyle_opts=opts.TextStyleOpts(font_size=40, color='#FFFFFF',
border_radius=True, border_color="white"),
pos_top=0)))
times = (
Pie()
.set_global_opts(
title_opts=opts.TitleOpts(subtitle=("截至 " + lastUpdateTime),
subtitle_textstyle_opts=opts.TextStyleOpts(font_size=13, color='#FFFFFF'),
pos_top=0))
)
# total_pie = (
# Pie(init_opts=opts.InitOpts(theme=ThemeType.LIGHT, width='500px', height='350px', bg_color="transparent"))
# .add("", [list(z) for z in zip(['累计确诊 ', '现有疑似 ', '累计死亡 ', '累计治愈 '], chinaTotal.values())],
# center=["50%", "60%"], radius=[75, 100], )
# .add("", [list(z) for z in zip(chinaAdd.keys(), chinaAdd.values())], center=["50%", "60%"], radius=[0, 50])
# .set_global_opts(title_opts=opts.TitleOpts(title="全国总量", pos_bottom=0,
# title_textstyle_opts=opts.TextStyleOpts(color="#00FFFF")),
# legend_opts=opts.LegendOpts(textstyle_opts=opts.TextStyleOpts(color="#FFFFFF")))
# .set_series_opts(label_opts=opts.LabelOpts(formatter="{b}:{c}")))
confirms = (Pie().
set_global_opts(title_opts=opts.TitleOpts(title="确诊1", pos_left='center', pos_top='center',
title_textstyle_opts=opts.TextStyleOpts(color='#FFFFFF'))))
confirms_people = (Pie().
set_global_opts(title_opts=opts.TitleOpts(title=(str(chinaTotal['累计确诊']) + " "),
pos_top='15%', pos_left='center',
subtitle=(" 新增: " + str(chinaAdd['新增累计确诊'])),
item_gap=1,
title_textstyle_opts=opts.TextStyleOpts(color="#00FFFF",
font_size=30),
subtitle_textstyle_opts=opts.TextStyleOpts(color="#00BFFF")
)))
suspects = (Pie().
set_global_opts(title_opts=opts.TitleOpts(title="疑似1", pos_left='center', pos_top='center',
title_textstyle_opts=opts.TextStyleOpts(color='#FFFFFF'))))
suspects_people = (Pie().
set_global_opts(title_opts=opts.TitleOpts(title=(str(chinaTotal['现有疑似']) + " "),
pos_top='15%', pos_left='center',
subtitle=(" 新增 :" + str(chinaAdd['新增现有疑似'])),
item_gap=1,
title_textstyle_opts=opts.TextStyleOpts(color="#FF00FF",
font_size=30),
subtitle_textstyle_opts=opts.TextStyleOpts(color="#EE82EE")
)))
deads = (Pie().set_global_opts(title_opts=opts.TitleOpts(title="死亡1", pos_left='center', pos_top='center',
title_textstyle_opts=opts.TextStyleOpts(color='#FFFFFF'))))
deads_people = (Pie().set_global_opts(title_opts=opts.TitleOpts(title=(str(chinaTotal['累计死亡']) + " "),
pos_top='15%', pos_left='center',
subtitle=(" 新增 :" + str(chinaAdd['新增累计死亡'])),
item_gap=1,
title_textstyle_opts=opts.TextStyleOpts(color="#FF0000",
font_size=30),
subtitle_textstyle_opts=opts.TextStyleOpts(color="#F08080")
)))
heals = (Pie().set_global_opts(title_opts=opts.TitleOpts(title="治愈1", pos_left='center', pos_top='center',
title_textstyle_opts=opts.TextStyleOpts(color='#FFFFFF'))))
heals_people = (Pie().set_global_opts(title_opts=opts.TitleOpts(title=(str(chinaTotal['累计治愈']) + " "),
pos_top='15%', pos_left='center',
subtitle=(" 新增 :" + str(chinaAdd['新增累计治愈'])),
item_gap=1,
title_textstyle_opts=opts.TextStyleOpts(color="#00FF00",
font_size=30),
subtitle_textstyle_opts=opts.TextStyleOpts(color="#98FB98")
)))
confirm_liquid = (Liquid().add("确诊比例", [(chinaTotal['累计确诊'] / sum)], tooltip_opts=opts.TooltipOpts(),
label_opts=opts.LabelOpts(color="#00FFFF",
font_size=15,
formatter=JsCode(
"""function (param) {
return (Math.floor(param.value * 10000) / 100) + '%';
}"""
),
position="inside",
),
)
)
suspect_liquid = (
Liquid()
.add("疑似比例", [(chinaTotal['现有疑似'] / sum)], tooltip_opts=opts.TooltipOpts(),
label_opts=opts.LabelOpts(color="#FF00FF",
font_size=15,
formatter=JsCode(
"""function (param) {
return (Math.floor(param.value * 10000) / 100) + '%';
}"""
),
position="inside",
),
)
)
dead_liquid = (
Liquid()
.add("死亡比例", [(chinaTotal['累计死亡'] / sum)], tooltip_opts=opts.TooltipOpts(),
label_opts=opts.LabelOpts(color="#FF0000",
font_size=15,
formatter=JsCode(
"""function (param) {
return (Math.floor(param.value * 10000) / 100) + '%';
}"""
),
position="inside",
),
)
)
heal_liquid = (
Liquid()
.add("治愈比例", [(chinaTotal['累计治愈'] / sum)], tooltip_opts=opts.TooltipOpts(),
label_opts=opts.LabelOpts(color="#00FF00",
font_size=15,
formatter=JsCode(
"""function (param) {
return (Math.floor(param.value * 10000) / 100) + '%';
}"""
),
position="inside",
),
)
)
wc = (
WordCloud()
.add("", [list(z) for z in zip(list(city_data["city"]), list(city_data["confirm"]))],
word_gap=0, word_size_range=[10, 30]))
# 图片汇总
# page = (Page(page_title="2019-nCov",layout=Page.DraggablePageLayout)
page = (Page(page_title="2019-nCov")
.add(world_map)
.add(total_pie)
.add(area_map)
.add(area_heat_geo)
.add(bar)
.add(big_title)
.add(times)
.add(confirms)
.add(confirms_people)
.add(suspects)
.add(suspects_people)
.add(deads)
.add(deads_people)
.add(heals)
.add(heals_people)
.add(confirm_liquid)
.add(suspect_liquid)
.add(dead_liquid)
.add(heal_liquid)
.add(wc)
).render("2019-nCov数据一览2.html")
with open("2019-nCov数据一览2.html", "r+", encoding='utf-8') as html:
html_bf = BeautifulSoup(html, 'lxml')
divs = html_bf.select('.chart-container')
divs[0][
"style"] = "width:605px;height:274px;position:absolute;top:36px;left:333px;border-style:solid;border-color:#444444;border-width:0px;"
divs[1][
'style'] = "width:411px;height:303px;position:absolute;top:5px;left:0px;border-style:solid;border-color:#444444;border-width:0px;"
divs[2][
"style"] = "width:309px;height:405px;position:absolute;top:313px;left:961px;border-style:solid;border-color:#444444;border-width:0px;"
divs[3][
"style"] = "width:305px;height:405px;position:absolute;top:310px;left:0px;border-style:solid;border-color:#444444;border-width:0px;"
divs[4][
"style"] = "width:646px;height:304px;position:absolute;top:312px;left:312px;border-style:solid;border-color:#444444;border-width:0px;"
divs[5][
"style"] = "width:250px;height:55px;position:absolute;top:2px;left:440px;border-style:solid;border-color:#444444;border-width:0px;"
divs[6][
"style"] = "width:200px;height:30px;position:absolute;top:11px;left:675px;border-style:solid;border-color:#444444;border-width:0px;"
divs[7][
'style'] = "width:60px;height:75px;position:absolute;top:5px;left:1060px;border-style:solid;border-color:#DC143C;border-width:3px;border-radius:25px 0px 0px 0px"
divs[8][
"style"] = "width:130px;height:75px;position:absolute;top:5px;left:1120px;border-style:solid;border-color:#DC143C;border-width:3px;"
divs[9][
"style"] = "width:60px;height:75px;position:absolute;top:80px;left:1060px;border-style:solid;border-color:#DC143C;border-width:3px;"
divs[10][
"style"] = "width:130px;height:75px;position:absolute;top:80px;left:1120px;border-style:solid;border-color:#DC143C;border-width:3px;"
divs[11][
"style"] = "width:60px;height:75px;position:absolute;top:155px;left:1060px;border-style:solid;border-color:#DC143C;border-width:3px;"
divs[12][
"style"] = "width:130px;height:75px;position:absolute;top:155px;left:1120px;border-style:solid;border-color:#DC143C;border-width:3px;"
divs[13][
"style"] = "width:60px;height:75px;position:absolute;top:230px;left:1060px;border-style:solid;border-color:#DC143C;border-width:3px;"
divs[14][
"style"] = "width:130px;height:75px;position:absolute;top:230px;left:1120px;border-style:solid;border-color:#DC143C;border-width:3px;border-radius:0px 0px 25px 0px"
divs[15][
"style"] = "width:160px;height:160px;position:absolute;top:-35px;left:920px;border-style:solid;border-color:#444444;border-width:0px;"
divs[16][
"style"] = "width:160px;height:160px;position:absolute;top:40px;left:865px;border-style:solid;border-color:#444444;border-width:0px;"
divs[17][
"style"] = "width:160px;height:160px;position:absolute;top:115px;left:920px;border-style:solid;border-color:#444444;border-width:0px;"
divs[18][
"style"] = "width:160px;height:160px;position:absolute;top:188px;left:865px;border-style:solid;border-color:#444444;border-width:0px;"
divs[19][
"style"] = "width:1280px;height:120px;position:absolute;top:600px;left:0px;border-style:solid;border-color:#444444;border-width:0px;"
body = html_bf.find("body")
body["style"] = "background-color:#333333;"
print('$$$$$$$$$$$$$$$$$$$$$')
html_new = str(html_bf)
html.seek(0, 0)
html.truncate()
print('???????????')
html.write(html_new)
# make_snapshot(snapshot, '2019-nCov数据一览2.html', "2019-nCoV数据一览2.png")
html.close()