Pyecharts实现新冠肺炎疫情数据大屏可视化
发布时间：2023-07-17 19:30
Author:龙箬
数据科学与大数据技术专业
用数据改变世界！
CSDN@weixin_43975035
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Pyecharts实现新冠肺炎疫情数据大屏可视化
由于腾讯疫情数据源的不断更新，本实验代码根据https://blog.csdn.net/qq_43613793/article/details/104356935
进行修改而成。
啥也不说，先上图：
![\"Pyecharts实现新冠肺炎疫情数据大屏可视化_第1张图片\"](\"https://img.it610.com/image/info8/998ec262b92a4c13b9380cfb57092a79.jpg\")
实验步骤及代码如下：
首先程序里面用到的世界各国中英文对照.xlsx
链接: https://pan.baidu.com/s/1ovfPVTpHxlxOGkCf8PXsHQ .
提取码：znbh
1.数据抓取：
数据源：链接: 腾讯实时疫情数据.
先引入所需模块：
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
抓取数据：
reponse = requests.get(\'https://view.inews.qq.com/g2/getOnsInfo?name=disease_h5\').json()
data = json.loads(reponse[\'data\'])
reponse1 = requests.get(\'https://view.inews.qq.com/g2/getOnsInfo?name=disease_other\').json()
data1 = json.loads(reponse1[\'data\'])
数据处理：
# 国内
lastUpdateTime = data[\'lastUpdateTime\']
chinaTotal = data[\'chinaTotal\']
chinaTotal[\'确诊\'] = chinaTotal[\'confirm\']
chinaTotal[\'疑似\'] = chinaTotal[\'suspect\']
chinaTotal[\'死亡\'] = chinaTotal[\'dead\']
chinaTotal[\'治愈\'] = chinaTotal[\'heal\']
chinaTotal[\'现有确诊\'] = chinaTotal[\'nowConfirm\']
chinaTotal[\'现有重症\'] = chinaTotal[\'nowSevere\']
del chinaTotal[\'confirm\']
del chinaTotal[\'suspect\']
del chinaTotal[\'dead\']
del chinaTotal[\'heal\']
del chinaTotal[\'nowConfirm\']
del chinaTotal[\'nowSevere\']
sum = chinaTotal[\'确诊\'] + chinaTotal[\'疑似\'] + chinaTotal[\'死亡\'] + chinaTotal[\'治愈\']
chinaAdd = data[\'chinaAdd\']
chinaAdd[\'新增确诊\'] = data[\'chinaAdd\'][\'confirm\']
chinaAdd[\'新增疑似\'] = data[\'chinaAdd\'][\'suspect\']
chinaAdd[\'新增死亡\'] = data[\'chinaAdd\'][\'dead\']
chinaAdd[\'新增治愈\'] = data[\'chinaAdd\'][\'heal\']
chinaAdd[\'新增确诊\'] = chinaAdd[\'nowConfirm\']
chinaAdd[\'新增重症\'] = chinaAdd[\'nowSevere\']
del chinaAdd[\'confirm\']
del chinaAdd[\'suspect\']
del chinaAdd[\'dead\']
del chinaAdd[\'heal\']
del chinaAdd[\'nowConfirm\']
del chinaAdd[\'nowSevere\']
areaTree = data[\'areaTree\']
china_data = areaTree[0][\'children\']
china_list = []
for x in range(len(china_data)):
province = china_data[x][\'name\']
province_list = china_data[x][\'children\']
for y in range(len(province_list)):
city = province_list[y][\'name\']
total = province_list[y][\'total\']
today = province_list[y][\'today\']
china_dict = {\'province\': province, \'city\': city, \'total\': total, \'today\': today}
china_list.append(china_dict)
# 定义数据处理函数
def confirm(x):
confirm = eval(str(x))[\'confirm\']
return confirm
def suspect(x):
suspect = eval(str(x))[\'suspect\']
return suspect
def dead(x):
dead = eval(str(x))[\'dead\']
return dead
def heal(x):
heal = eval(str(x))[\'heal\']
return heal
def confirmCuts(x):
confirmCuts = eval(str(x))[\'confirmCuts\']
return confirmCuts
def deadRate(x):
deadRate=eval(str(x))[\'deadRate\']
return deadRate
def healRate(x):
healRate=eval(str(x))[\'healRate\']
return healRate
china_data = pd.DataFrame(china_list)
print(china_list)
# 函数映射
china_data[\'confirm\'] = china_data[\'total\'].map(confirm)
china_data[\'suspect\'] = china_data[\'total\'].map(suspect)
china_data[\'dead\'] = china_data[\'total\'].map(dead)
china_data[\'heal\'] = china_data[\'total\'].map(heal)
china_data[\'deadRate\']=china_data[\'total\'].map(deadRate)
china_data[\'healRate\']=china_data[\'total\'].map(healRate)
china_data[\'addconfirm\'] = china_data[\'today\'].map(confirm)
china_data[\'addconfirmCuts\'] = china_data[\'today\'].map(confirmCuts)
china_data = china_data[
[\"province\", \"city\", \"confirm\", \"suspect\", \"dead\", \"heal\",\"deadRate\",\"healRate\", \"addconfirm\", \"addconfirmCuts\"]]
china_data.head()
global_data = pd.DataFrame(data[\'areaTree\'])
global_data[\'confirm\'] = global_data[\'total\'].map(confirm)
global_data[\'suspect\'] = global_data[\'total\'].map(suspect)
global_data[\'dead\'] = global_data[\'total\'].map(dead)
global_data[\'deadRate\']=global_data[\'total\'].map(deadRate)
global_data[\'healRate\']=global_data[\'total\'].map(healRate)
global_data[\'heal\'] = global_data[\'total\'].map(heal)
global_data[\'addconfirm\'] = global_data[\'today\'].map(confirm)
world_name = pd.read_excel(\"C:\\\\Users\\\\lenovo\\\\Desktop\\\\数据分析\\\\世界各国中英文对照.xlsx\")
global_data = pd.merge(global_data, world_name, left_on=\"name\", right_on=\"中文\", how=\"inner\")
global_data = global_data[
[\"name\", \"英文\", \"confirm\", \"suspect\", \"dead\", \"heal\",\"deadRate\",\"healRate\", \"addconfirm\"]]
global_data.head()
# 日数据处理
chinaDayList = pd.DataFrame(data1[\'chinaDayList\'])
chinaDayList = chinaDayList[[\'date\', \'confirm\', \'suspect\', \'dead\', \'heal\']]
chinaDayList.head()
# 日新增数据处理
chinaDayAddList = pd.DataFrame(data1[\'chinaDayAddList\'])
chinaDayAddList = chinaDayAddList[[\'date\', \'confirm\', \'suspect\', \'dead\', \'heal\']]
chinaDayAddList.head()
数据可视化：
# 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([\'确 诊 \', \'疑 似 \', \'死 亡 \', \'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}\")))
#全球疫情地图，此部分目前画的不好，后续改进
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
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\"}])))
#热图及城市分布
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 Exception:
return False
city_index = []
i = 0
for item in city_data[\'city\']:
if is_city(item) == False:
city_index.append(i)
i += 1
for x in city_index:
del (city_data[\'city\'][x])
del (city_data[\'confirm\'][x])
city_index_ = []
i = 0
for item in city_data[\'confirm\']:
if item > 1000:
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])
list_1 = [\"拉萨\"]
list_2 = [1]
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(\"确诊城市\", [list(z) for z in zip(list(city_data[\"city\"]), list(city_data[\"confirm\"]))], symbol_size=10)
.add(\"确诊城市\", [list(z) for z in zip(list_1, list_2)], symbol_size=10) # 孤独拉萨
.add(\"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=30, scale=4, period=1))
.add(\"\", [list(z) for z in zip(list(city_data[\"city\"]), list(city_data[\"confirm\"]))],
type_=ChartType.HEATMAP)
.set_series_opts(label_opts=opts.LabelOpts(is_show=False))
.set_global_opts(
visualmap_opts=opts.VisualMapOpts(range_size=[0, 25, 50, 75, 100], max_=1000, orient=\'horizontal\',
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)))
date = [] # 日期
confirmTotal = [] # 累计确诊
confirmAdd = [] # 新增确诊
suspectTotal = [] # 累计疑似
suspectAdd = [] # 新增疑似
deadTotal = [] # 累计死亡
deadAdd = [] # 新增死亡
healTotal = [] # 累计治愈
healAdd = [] # 新增治愈
deadRate = [] # 死亡率
healRate = [] # 治愈率
#每日数据趋势：
for j in data1[\'chinaDayAddList\']:
confirmAdd.append(j[\'confirm\'])
suspectAdd.append(j[\'suspect\'])
deadAdd.append(j[\'dead\'])
healAdd.append(j[\'heal\'])
for k in data1[\'chinaDayList\']:
date.append(k[\'date\'])
confirmTotal.append(k[\'confirm\'])
suspectTotal.append(k[\'suspect\'])
deadTotal.append(k[\'dead\'])
healTotal.append(k[\'heal\'])
deadRate.append(k[\'deadRate\'])
healRate.append(k[\'healRate\'])
line_1 = (
Line(init_opts=opts.InitOpts(theme=ThemeType.DARK, bg_color=\"#333333\"))
.add_xaxis(date)
.add_yaxis(\"累计确诊\", confirmTotal, yaxis_index=1, is_smooth=True,
tooltip_opts=opts.TooltipOpts(formatter=\"{a}:{c}\"))
.set_series_opts(label_opts=opts.LabelOpts(is_show=False))
.set_global_opts(yaxis_opts=opts.AxisOpts(axislabel_opts=opts.LabelOpts(formatter=\"{value}\")),
legend_opts=(opts.LegendOpts(textstyle_opts=opts.TextStyleOpts(color=\"white\")))))
bar_1 = (
Bar(init_opts=opts.InitOpts(theme=ThemeType.DARK, bg_color=\"#333333\"))
.add_xaxis(date[7:])
.add_yaxis(\"单日确诊\", confirmAdd, tooltip_opts=opts.TooltipOpts(formatter=\"{a}:{c}\"))
.extend_axis(yaxis=opts.AxisOpts(axislabel_opts=opts.LabelOpts(formatter=\"{value}\")))
.set_series_opts(label_opts=opts.LabelOpts(is_show=False))
.set_global_opts(title_opts=opts.TitleOpts(\"确诊\", pos_left=\'10%\',
title_textstyle_opts=opts.TextStyleOpts(color=\"white\")),
yaxis_opts=opts.AxisOpts(axislabel_opts=opts.LabelOpts(formatter=\"{value}\")),
legend_opts=(opts.LegendOpts(textstyle_opts=opts.TextStyleOpts(color=\"white\"))))).overlap(
line_1)
line_2 = (
Line(init_opts=opts.InitOpts(theme=ThemeType.LIGHT, bg_color=\"#333333\"))
.add_xaxis(date)
.add_yaxis(\"累计疑似\", suspectTotal, yaxis_index=1, is_smooth=True,
tooltip_opts=opts.TooltipOpts(formatter=\"{a}:{c}\"))
.set_series_opts(label_opts=opts.LabelOpts(is_show=False))
.set_global_opts(yaxis_opts=opts.AxisOpts(axislabel_opts=opts.LabelOpts(formatter=\"{value}\")),
legend_opts=(opts.LegendOpts(textstyle_opts=opts.TextStyleOpts(color=\"white\")))))
bar_2 = (
Bar(init_opts=opts.InitOpts(theme=ThemeType.LIGHT, bg_color=\"#333333\"))
.add_xaxis(date[7:])
.add_yaxis(\"单日疑似\", suspectAdd, tooltip_opts=opts.TooltipOpts(formatter=\"{a}:{c}\"))
.set_series_opts(label_opts=opts.LabelOpts(is_show=False))
.set_global_opts(title_opts=opts.TitleOpts(\"疑似\", pos_left=\'10%\',
title_textstyle_opts=opts.TextStyleOpts(color=\"white\")),
yaxis_opts=opts.AxisOpts(axislabel_opts=opts.LabelOpts(formatter=\"{value}\")),
legend_opts=(opts.LegendOpts(textstyle_opts=opts.TextStyleOpts(color=\"white\"))))).overlap(
line_2)
line_3 = (
Line(init_opts=opts.InitOpts(theme=ThemeType.DARK, bg_color=\"#333333\"))
.add_xaxis(date)
.add_yaxis(\"累计死亡\", deadTotal, yaxis_index=1, is_smooth=True, tooltip_opts=opts.TooltipOpts(formatter=\"{a}:{c}\"))
.set_series_opts(label_opts=opts.LabelOpts(is_show=False))
.set_global_opts(yaxis_opts=opts.AxisOpts(axislabel_opts=opts.LabelOpts(formatter=\"{value}\")),
legend_opts=(opts.LegendOpts(textstyle_opts=opts.TextStyleOpts(color=\"white\")))))
bar_3 = (
Bar(init_opts=opts.InitOpts(theme=ThemeType.DARK, bg_color=\"#333333\"))
.add_xaxis(date[7:])
.add_yaxis(\"单日死亡\", deadAdd, tooltip_opts=opts.TooltipOpts(formatter=\"{a}:{c}\"))
.set_series_opts(label_opts=opts.LabelOpts(is_show=False))
.set_global_opts(title_opts=opts.TitleOpts(\"死亡\", pos_left=\'10%\',
title_textstyle_opts=opts.TextStyleOpts(color=\"white\")),
yaxis_opts=opts.AxisOpts(axislabel_opts=opts.LabelOpts(formatter=\"{value}\")),
legend_opts=(opts.LegendOpts(textstyle_opts=opts.TextStyleOpts(color=\"white\"))))).overlap(
line_3)
line_4 = (
Line(init_opts=opts.InitOpts(theme=ThemeType.ROMA, bg_color=\"#333333\"))
.add_xaxis(date)
.add_yaxis(\"累计治愈\", healTotal, yaxis_index=1, is_smooth=True, tooltip_opts=opts.TooltipOpts(formatter=\"{a}:{c}\"))
.set_series_opts(label_opts=opts.LabelOpts(is_show=False))
.set_global_opts(yaxis_opts=opts.AxisOpts(axislabel_opts=opts.LabelOpts(formatter=\"{value}\")),
legend_opts=(opts.LegendOpts(textstyle_opts=opts.TextStyleOpts(color=\"white\")))))
bar_4 = (
Bar(init_opts=opts.InitOpts(theme=ThemeType.ROMA, bg_color=\"#333333\"))
.add_xaxis(date[7:])
.add_yaxis(\"单日治愈\", healAdd, tooltip_opts=opts.TooltipOpts(formatter=\"{a}:{c}\"))
.set_series_opts(label_opts=opts.LabelOpts(is_show=False))
.set_global_opts(title_opts=opts.TitleOpts(\"治愈\",pos_left=\'10%\',
title_textstyle_opts=opts.TextStyleOpts(color=\"white\")),
yaxis_opts=opts.AxisOpts(axislabel_opts=opts.LabelOpts(formatter=\"{value}\")),
legend_opts=(opts.LegendOpts(textstyle_opts=opts.TextStyleOpts(color=\"white\"))))).overlap(
line_4)
line = (
Line(init_opts=opts.InitOpts(theme=ThemeType.CHALK, bg_color=\"#333333\"))
.add_xaxis(date)
.add_yaxis(\"死亡率\", deadRate, is_smooth=True, tooltip_opts=opts.TooltipOpts(formatter=\"{a}:{c}%\"))
.set_series_opts(label_opts=opts.LabelOpts(is_show=False))
.set_global_opts(title_opts=opts.TitleOpts(\"死亡/治愈率\",pos_left=\'10%\',
title_textstyle_opts=opts.TextStyleOpts(color=\"white\")),
yaxis_opts=opts.AxisOpts(axislabel_opts=opts.LabelOpts(formatter=\"{value}\")),
legend_opts=(opts.LegendOpts(textstyle_opts=opts.TextStyleOpts(color=\"white\")))))
lines = (
Line(init_opts=opts.InitOpts(theme=ThemeType.LIGHT, bg_color=\"#333333\"))
.add_xaxis(date)
.add_yaxis(\"治愈率\", healRate, is_smooth=True, tooltip_opts=opts.TooltipOpts(formatter=\"{a}:{c}%\"))
.extend_axis(yaxis=opts.AxisOpts(axislabel_opts=opts.LabelOpts(formatter=\"{value}%\")))
.set_series_opts(label_opts=opts.LabelOpts(is_show=False))
.set_global_opts(title_opts=opts.TitleOpts(\"死亡/治愈率\", pos_left=\'10%\',
title_textstyle_opts=opts.TextStyleOpts(color=\"white\")),
yaxis_opts=opts.AxisOpts(axislabel_opts=opts.LabelOpts(formatter=\"{value}%\")),
legend_opts=(opts.LegendOpts(textstyle_opts=opts.TextStyleOpts(color=\"white\"))))).overlap(line)
tl = (
Timeline(init_opts=opts.InitOpts(theme=ThemeType.WALDEN, bg_color=\"transparent\"))
.add_schema(play_interval=5000, is_auto_play=True,width=\'70%\',height=\'10%\',pos_left=\'center\',
linestyle_opts=opts.LineStyleOpts(),label_opts=opts.LabelOpts(position=\'bottom\',color=\"white\"))
.add(bar_1, \"确诊\")
.add(bar_2, \"疑似\")
.add(bar_3, \"死亡\")
.add(bar_4, \"治愈\")
.add(lines, \"死亡/治愈率\"))
big_title = (
Pie()
.set_global_opts(
title_opts=opts.TitleOpts(title=\"COVID-19\",
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))
)
confirms = (Pie().
set_global_opts(title_opts=opts.TitleOpts(title=\"确诊\", pos_left=\'center\', pos_top=\'center\',
subtitle=\"(现有)\",item_gap=1,
subtitle_textstyle_opts=opts.TextStyleOpts(color=\"#FFFFFF\"),
title_textstyle_opts=opts.TextStyleOpts(color=\'#FFFFFF\'))))
confirms_people = (Pie().
set_global_opts(title_opts=opts.TitleOpts(title=(str(chinaTotal[\'确诊\']) + \" \"),
pos_top=\'15%\', pos_left=\'center\',
subtitle=(\" 新增: \" + str(chinaAdd[\'新增确诊\'])),
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\", pos_left=\'center\', pos_top=\'center\',
subtitle=\"(现有)\",item_gap=1,
subtitle_textstyle_opts=opts.TextStyleOpts(color=\"#FFFFFF\"),
title_textstyle_opts=opts.TextStyleOpts(color=\'#FFFFFF\'))))
suspects_people = (Pie().
set_global_opts(title_opts=opts.TitleOpts(title=(str(chinaTotal[\'疑似\']) + \" \"),
pos_top=\'15%\', pos_left=\'center\',
subtitle=(\" 新增 :\" + str(chinaAdd[\'新增疑似\'])),
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\", pos_left=\'center\', pos_top=\'center\',
subtitle=\"(累计)\",item_gap=1,
subtitle_textstyle_opts=opts.TextStyleOpts(color=\"#FFFFFF\"),
title_textstyle_opts=opts.TextStyleOpts(color=\'#FFFFFF\'))))
deads_people = (Pie().
set_global_opts(title_opts=opts.TitleOpts(title=(str(chinaTotal[\'死亡\']) + \" \"),
pos_top=\'15%\', pos_left=\'center\',
subtitle=(\" 新增 :\" + str(chinaAdd[\'新增死亡\'])),
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\", pos_left=\'center\', pos_top=\'center\',
subtitle=\"(累计)\",item_gap=1,
subtitle_textstyle_opts=opts.TextStyleOpts(color=\"#FFFFFF\"),
title_textstyle_opts=opts.TextStyleOpts(color=\'#FFFFFF\'))))
heals_people = (Pie().
set_global_opts(title_opts=opts.TitleOpts(title=(str(chinaTotal[\'治愈\']) + \" \"),
pos_top=\'15%\', pos_left=\'center\',
subtitle=(\" 新增 :\" + str(chinaAdd[\'新增治愈\'])),
item_gap=1,
title_textstyle_opts=opts.TextStyleOpts(color=\"#00FF00\",
font_size=30),
subtitle_textstyle_opts=opts.TextStyleOpts(color=\"#98FB98\")
)))
um=chinaTotal[\'确诊\']+chinaTotal[\'疑似\']+chinaTotal[\'死亡\']+chinaTotal[\'治愈\']
confirm_liquid = (
Liquid()
.add(\"确诊比例\", [chinaTotal[\'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[\'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[\'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[\'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=\"COVID-19\")
.add(total_pie)
.add(world_map)
.add(area_map)
.add(area_heat_geo)
#.add(bar)
.add(tl)
.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(\'COVID-19 数据一览.html\')
with open(\"COVID-19 数据一览.html\", \"r+\", encoding=\'utf-8\') as html:
html_bf = BeautifulSoup(html, \'lxml\')
divs = html_bf.select(\'.chart-container\')
divs[0][
\'style\'] = \"width:411px;height:303px;position:absolute;top:5px;left:0px;border-style:solid;border-color:#444444;border-width:0px;\"
divs[1][
\"style\"] = \"width:605px;height:274px;position:absolute;top:36px;left:333px;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;\"
html_new = str(html_bf)
html.seek(0, 0)
html.truncate()
html.write(html_new)
html.close()
最后粘贴上可直接复制粘贴运行的完整源代码：
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
# 抓取数据
reponse = requests.get(\'https://view.inews.qq.com/g2/getOnsInfo?name=disease_h5\').json()
data = json.loads(reponse[\'data\'])
reponse1 = requests.get(\'https://view.inews.qq.com/g2/getOnsInfo?name=disease_other\').json()
data1 = json.loads(reponse1[\'data\'])
# 国内
lastUpdateTime = data[\'lastUpdateTime\']
chinaTotal = data[\'chinaTotal\']
chinaTotal[\'确诊\'] = chinaTotal[\'confirm\']
chinaTotal[\'疑似\'] = chinaTotal[\'suspect\']
chinaTotal[\'死亡\'] = chinaTotal[\'dead\']
chinaTotal[\'治愈\'] = chinaTotal[\'heal\']
chinaTotal[\'现有确诊\'] = chinaTotal[\'nowConfirm\']
chinaTotal[\'现有重症\'] = chinaTotal[\'nowSevere\']
del chinaTotal[\'confirm\']
del chinaTotal[\'suspect\']
del chinaTotal[\'dead\']
del chinaTotal[\'heal\']
del chinaTotal[\'nowConfirm\']
del chinaTotal[\'nowSevere\']
sum = chinaTotal[\'确诊\'] + chinaTotal[\'疑似\'] + chinaTotal[\'死亡\'] + chinaTotal[\'治愈\']
chinaAdd = data[\'chinaAdd\']
chinaAdd[\'新增确诊\'] = data[\'chinaAdd\'][\'confirm\']
chinaAdd[\'新增疑似\'] = data[\'chinaAdd\'][\'suspect\']
chinaAdd[\'新增死亡\'] = data[\'chinaAdd\'][\'dead\']
chinaAdd[\'新增治愈\'] = data[\'chinaAdd\'][\'heal\']
chinaAdd[\'新增确诊\'] = chinaAdd[\'nowConfirm\']
chinaAdd[\'新增重症\'] = chinaAdd[\'nowSevere\']
del chinaAdd[\'confirm\']
del chinaAdd[\'suspect\']
del chinaAdd[\'dead\']
del chinaAdd[\'heal\']
del chinaAdd[\'nowConfirm\']
del chinaAdd[\'nowSevere\']
areaTree = data[\'areaTree\']
china_data = areaTree[0][\'children\']
china_list = []
for x in range(len(china_data)):
province = china_data[x][\'name\']
province_list = china_data[x][\'children\']
for y in range(len(province_list)):
city = province_list[y][\'name\']
total = province_list[y][\'total\']
today = province_list[y][\'today\']
china_dict = {\'province\': province, \'city\': city, \'total\': total, \'today\': today}
china_list.append(china_dict)
# 定义数据处理函数
def confirm(x):
confirm = eval(str(x))[\'confirm\']
return confirm
def suspect(x):
suspect = eval(str(x))[\'suspect\']
return suspect
def dead(x):
dead = eval(str(x))[\'dead\']
return dead
def heal(x):
heal = eval(str(x))[\'heal\']
return heal
def confirmCuts(x):
confirmCuts = eval(str(x))[\'confirmCuts\']
return confirmCuts
def deadRate(x):
deadRate=eval(str(x))[\'deadRate\']
return deadRate
def healRate(x):
healRate=eval(str(x))[\'healRate\']
return healRate
china_data = pd.DataFrame(china_list)
print(china_list)
# 函数映射
china_data[\'confirm\'] = china_data[\'total\'].map(confirm)
china_data[\'suspect\'] = china_data[\'total\'].map(suspect)
china_data[\'dead\'] = china_data[\'total\'].map(dead)
china_data[\'heal\'] = china_data[\'total\'].map(heal)
china_data[\'deadRate\']=china_data[\'total\'].map(deadRate)
china_data[\'healRate\']=china_data[\'total\'].map(healRate)
china_data[\'addconfirm\'] = china_data[\'today\'].map(confirm)
china_data[\'addconfirmCuts\'] = china_data[\'today\'].map(confirmCuts)
china_data = china_data[
[\"province\", \"city\", \"confirm\", \"suspect\", \"dead\", \"heal\",\"deadRate\",\"healRate\", \"addconfirm\", \"addconfirmCuts\"]]
china_data.head()
global_data = pd.DataFrame(data[\'areaTree\'])
global_data[\'confirm\'] = global_data[\'total\'].map(confirm)
global_data[\'suspect\'] = global_data[\'total\'].map(suspect)
global_data[\'dead\'] = global_data[\'total\'].map(dead)
global_data[\'deadRate\']=global_data[\'total\'].map(deadRate)
global_data[\'healRate\']=global_data[\'total\'].map(healRate)
global_data[\'heal\'] = global_data[\'total\'].map(heal)
global_data[\'addconfirm\'] = global_data[\'today\'].map(confirm)
world_name = pd.read_excel(\"C:\\\\Users\\\\lenovo\\\\Desktop\\\\数据分析\\\\世界各国中英文对照.xlsx\")
global_data = pd.merge(global_data, world_name, left_on=\"name\", right_on=\"中文\", how=\"inner\")
global_data = global_data[
[\"name\", \"英文\", \"confirm\", \"suspect\", \"dead\", \"heal\",\"deadRate\",\"healRate\", \"addconfirm\"]]
global_data.head()
# 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([\'确 诊 \', \'疑 似 \', \'死 亡 \', \'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}\")))
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
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 Exception:
return False
city_index = []
i = 0
for item in city_data[\'city\']:
if is_city(item) == False:
city_index.append(i)
i += 1
for x in city_index:
del (city_data[\'city\'][x])
del (city_data[\'confirm\'][x])
city_index_ = []
i = 0
for item in city_data[\'confirm\']:
if item > 1000:
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])
list_1 = [\"拉萨\"]
list_2 = [1]
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(\"确诊城市\", [list(z) for z in zip(list(city_data[\"city\"]), list(city_data[\"confirm\"]))], symbol_size=10)
.add(\"确诊城市\", [list(z) for z in zip(list_1, list_2)], symbol_size=10) # 孤独拉萨
.add(\"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=30, scale=4, period=1))
.add(\"\", [list(z) for z in zip(list(city_data[\"city\"]), list(city_data[\"confirm\"]))],
type_=ChartType.HEATMAP)
.set_series_opts(label_opts=opts.LabelOpts(is_show=False))
.set_global_opts(
visualmap_opts=opts.VisualMapOpts(range_size=[0, 25, 50, 75, 100], max_=1000, orient=\'horizontal\',
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)))
date = [] # 日期
confirmTotal = [] # 累计确诊
confirmAdd = [] # 新增确诊
suspectTotal = [] # 累计疑似
suspectAdd = [] # 新增疑似
deadTotal = [] # 累计死亡
deadAdd = [] # 新增死亡
healTotal = [] # 累计治愈
healAdd = [] # 新增治愈
deadRate = [] # 死亡率
healRate = [] # 治愈率
for j in data1[\'chinaDayAddList\']:
confirmAdd.append(j[\'confirm\'])
suspectAdd.append(j[\'suspect\'])
deadAdd.append(j[\'dead\'])
healAdd.append(j[\'heal\'])
for k in data1[\'chinaDayList\']:
date.append(k[\'date\'])
confirmTotal.append(k[\'confirm\'])
suspectTotal.append(k[\'suspect\'])
deadTotal.append(k[\'dead\'])
healTotal.append(k[\'heal\'])
deadRate.append(k[\'deadRate\'])
healRate.append(k[\'healRate\'])
line_1 = (
Line(init_opts=opts.InitOpts(theme=ThemeType.DARK, bg_color=\"#333333\"))
.add_xaxis(date)
.add_yaxis(\"累计确诊\", confirmTotal, yaxis_index=1, is_smooth=True,
tooltip_opts=opts.TooltipOpts(formatter=\"{a}:{c}\"))
.set_series_opts(label_opts=opts.LabelOpts(is_show=False))
.set_global_opts(yaxis_opts=opts.AxisOpts(axislabel_opts=opts.LabelOpts(formatter=\"{value}\")),
legend_opts=(opts.LegendOpts(textstyle_opts=opts.TextStyleOpts(color=\"white\")))))
bar_1 = (
Bar(init_opts=opts.InitOpts(theme=ThemeType.DARK, bg_color=\"#333333\"))
.add_xaxis(date[7:])
.add_yaxis(\"单日确诊\", confirmAdd, tooltip_opts=opts.TooltipOpts(formatter=\"{a}:{c}\"))
.extend_axis(yaxis=opts.AxisOpts(axislabel_opts=opts.LabelOpts(formatter=\"{value}\")))
.set_series_opts(label_opts=opts.LabelOpts(is_show=False))
.set_global_opts(title_opts=opts.TitleOpts(\"确诊\", pos_left=\'10%\',
title_textstyle_opts=opts.TextStyleOpts(color=\"white\")),
yaxis_opts=opts.AxisOpts(axislabel_opts=opts.LabelOpts(formatter=\"{value}\")),
legend_opts=(opts.LegendOpts(textstyle_opts=opts.TextStyleOpts(color=\"white\"))))).overlap(
line_1)
line_2 = (
Line(init_opts=opts.InitOpts(theme=ThemeType.LIGHT, bg_color=\"#333333\"))
.add_xaxis(date)
.add_yaxis(\"累计疑似\", suspectTotal, yaxis_index=1, is_smooth=True,
tooltip_opts=opts.TooltipOpts(formatter=\"{a}:{c}\"))
.set_series_opts(label_opts=opts.LabelOpts(is_show=False))
.set_global_opts(yaxis_opts=opts.AxisOpts(axislabel_opts=opts.LabelOpts(formatter=\"{value}\")),
legend_opts=(opts.LegendOpts(textstyle_opts=opts.TextStyleOpts(color=\"white\")))))
bar_2 = (
Bar(init_opts=opts.InitOpts(theme=ThemeType.LIGHT, bg_color=\"#333333\"))
.add_xaxis(date[7:])
.add_yaxis(\"单日疑似\", suspectAdd, tooltip_opts=opts.TooltipOpts(formatter=\"{a}:{c}\"))
.set_series_opts(label_opts=opts.LabelOpts(is_show=False))
.set_global_opts(title_opts=opts.TitleOpts(\"疑似\", pos_left=\'10%\',
title_textstyle_opts=opts.TextStyleOpts(color=\"white\")),
yaxis_opts=opts.AxisOpts(axislabel_opts=opts.LabelOpts(formatter=\"{value}\")),
legend_opts=(opts.LegendOpts(textstyle_opts=opts.TextStyleOpts(color=\"white\"))))).overlap(
line_2)
line_3 = (
Line(init_opts=opts.InitOpts(theme=ThemeType.DARK, bg_color=\"#333333\"))
.add_xaxis(date)
.add_yaxis(\"累计死亡\", deadTotal, yaxis_index=1, is_smooth=True, tooltip_opts=opts.TooltipOpts(formatter=\"{a}:{c}\"))
.set_series_opts(label_opts=opts.LabelOpts(is_show=False))
.set_global_opts(yaxis_opts=opts.AxisOpts(axislabel_opts=opts.LabelOpts(formatter=\"{value}\")),
legend_opts=(opts.LegendOpts(textstyle_opts=opts.TextStyleOpts(color=\"white\")))))
bar_3 = (
Bar(init_opts=opts.InitOpts(theme=ThemeType.DARK, bg_color=\"#333333\"))
.add_xaxis(date[7:])
.add_yaxis(\"单日死亡\", deadAdd, tooltip_opts=opts.TooltipOpts(formatter=\"{a}:{c}\"))
.set_series_opts(label_opts=opts.LabelOpts(is_show=False))
.set_global_opts(title_opts=opts.TitleOpts(\"死亡\", pos_left=\'10%\',
title_textstyle_opts=opts.TextStyleOpts(color=\"white\")),
yaxis_opts=opts.AxisOpts(axislabel_opts=opts.LabelOpts(formatter=\"{value}\")),
legend_opts=(opts.LegendOpts(textstyle_opts=opts.TextStyleOpts(color=\"white\"))))).overlap(
line_3)
line_4 = (
Line(init_opts=opts.InitOpts(theme=ThemeType.ROMA, bg_color=\"#333333\"))
.add_xaxis(date)
.add_yaxis(\"累计治愈\", healTotal, yaxis_index=1, is_smooth=True, tooltip_opts=opts.TooltipOpts(formatter=\"{a}:{c}\"))
.set_series_opts(label_opts=opts.LabelOpts(is_show=False))
.set_global_opts(yaxis_opts=opts.AxisOpts(axislabel_opts=opts.LabelOpts(formatter=\"{value}\")),
legend_opts=(opts.LegendOpts(textstyle_opts=opts.TextStyleOpts(color=\"white\")))))
bar_4 = (
Bar(init_opts=opts.InitOpts(theme=ThemeType.ROMA, bg_color=\"#333333\"))
.add_xaxis(date[7:])
.add_yaxis(\"单日治愈\", healAdd, tooltip_opts=opts.TooltipOpts(formatter=\"{a}:{c}\"))
.set_series_opts(label_opts=opts.LabelOpts(is_show=False))
.set_global_opts(title_opts=opts.TitleOpts(\"治愈\",pos_left=\'10%\',
title_textstyle_opts=opts.TextStyleOpts(color=\"white\")),
yaxis_opts=opts.AxisOpts(axislabel_opts=opts.LabelOpts(formatter=\"{value}\")),
legend_opts=(opts.LegendOpts(textstyle_opts=opts.TextStyleOpts(color=\"white\"))))).overlap(
line_4)
line = (
Line(init_opts=opts.InitOpts(theme=ThemeType.CHALK, bg_color=\"#333333\"))
.add_xaxis(date)
.add_yaxis(\"死亡率\", deadRate, is_smooth=True, tooltip_opts=opts.TooltipOpts(formatter=\"{a}:{c}%\"))
.set_series_opts(label_opts=opts.LabelOpts(is_show=False))
.set_global_opts(title_opts=opts.TitleOpts(\"死亡/治愈率\",pos_left=\'10%\',
title_textstyle_opts=opts.TextStyleOpts(color=\"white\")),
yaxis_opts=opts.AxisOpts(axislabel_opts=opts.LabelOpts(formatter=\"{value}\")),
legend_opts=(opts.LegendOpts(textstyle_opts=opts.TextStyleOpts(color=\"white\")))))
lines = (
Line(init_opts=opts.InitOpts(theme=ThemeType.LIGHT, bg_color=\"#333333\"))
.add_xaxis(date)
.add_yaxis(\"治愈率\", healRate, is_smooth=True, tooltip_opts=opts.TooltipOpts(formatter=\"{a}:{c}%\"))
.extend_axis(yaxis=opts.AxisOpts(axislabel_opts=opts.LabelOpts(formatter=\"{value}%\")))
.set_series_opts(label_opts=opts.LabelOpts(is_show=False))
.set_global_opts(title_opts=opts.TitleOpts(\"死亡/治愈率\", pos_left=\'10%\',
title_textstyle_opts=opts.TextStyleOpts(color=\"white\")),
yaxis_opts=opts.AxisOpts(axislabel_opts=opts.LabelOpts(formatter=\"{value}%\")),
legend_opts=(opts.LegendOpts(textstyle_opts=opts.TextStyleOpts(color=\"white\"))))).overlap(line)
tl = (
Timeline(init_opts=opts.InitOpts(theme=ThemeType.WALDEN, bg_color=\"transparent\"))
.add_schema(play_interval=5000, is_auto_play=True,width=\'70%\',height=\'10%\',pos_left=\'center\',
linestyle_opts=opts.LineStyleOpts(),label_opts=opts.LabelOpts(position=\'bottom\',color=\"white\"))
.add(bar_1, \"确诊\")
.add(bar_2, \"疑似\")
.add(bar_3, \"死亡\")
.add(bar_4, \"治愈\")
.add(lines, \"死亡/治愈率\"))
big_title = (
Pie()
.set_global_opts(
title_opts=opts.TitleOpts(title=\"COVID-19\",
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))
)
confirms = (Pie().
set_global_opts(title_opts=opts.TitleOpts(title=\"确诊\", pos_left=\'center\', pos_top=\'center\',
subtitle=\"(现有)\",item_gap=1,
subtitle_textstyle_opts=opts.TextStyleOpts(color=\"#FFFFFF\"),
title_textstyle_opts=opts.TextStyleOpts(color=\'#FFFFFF\'))))
confirms_people = (Pie().
set_global_opts(title_opts=opts.TitleOpts(title=(str(chinaTotal[\'确诊\']) + \" \"),
pos_top=\'15%\', pos_left=\'center\',
subtitle=(\" 新增: \" + str(chinaAdd[\'新增确诊\'])),
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\", pos_left=\'center\', pos_top=\'center\',
subtitle=\"(现有)\",item_gap=1,
subtitle_textstyle_opts=opts.TextStyleOpts(color=\"#FFFFFF\"),
title_textstyle_opts=opts.TextStyleOpts(color=\'#FFFFFF\'))))
suspects_people = (Pie().
set_global_opts(title_opts=opts.TitleOpts(title=(str(chinaTotal[\'疑似\']) + \" \"),
pos_top=\'15%\', pos_left=\'center\',
subtitle=(\" 新增 :\" + str(chinaAdd[\'新增疑似\'])),
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\", pos_left=\'center\', pos_top=\'center\',
subtitle=\"(累计)\",item_gap=1,
subtitle_textstyle_opts=opts.TextStyleOpts(color=\"#FFFFFF\"),
title_textstyle_opts=opts.TextStyleOpts(color=\'#FFFFFF\'))))
deads_people = (Pie().
set_global_opts(title_opts=opts.TitleOpts(title=(str(chinaTotal[\'死亡\']) + \" \"),
pos_top=\'15%\', pos_left=\'center\',
subtitle=(\" 新增 :\" + str(chinaAdd[\'新增死亡\'])),
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\", pos_left=\'center\', pos_top=\'center\',
subtitle=\"(累计)\",item_gap=1,
subtitle_textstyle_opts=opts.TextStyleOpts(color=\"#FFFFFF\"),
title_textstyle_opts=opts.TextStyleOpts(color=\'#FFFFFF\'))))
heals_people = (Pie().
set_global_opts(title_opts=opts.TitleOpts(title=(str(chinaTotal[\'治愈\']) + \" \"),
pos_top=\'15%\', pos_left=\'center\',
subtitle=(\" 新增 :\" + str(chinaAdd[\'新增治愈\'])),
item_gap=1,
title_textstyle_opts=opts.TextStyleOpts(color=\"#00FF00\",
font_size=30),
subtitle_textstyle_opts=opts.TextStyleOpts(color=\"#98FB98\")
)))
sum=chinaTotal[\'确诊\']+chinaTotal[\'疑似\']+chinaTotal[\'死亡\']+chinaTotal[\'治愈\']
confirm_liquid = (
Liquid()
.add(\"确诊比例\", [chinaTotal[\'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[\'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[\'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[\'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]))
page = (Page(page_title=\"COVID-19\")
.add(total_pie)
.add(world_map)
.add(area_map)
.add(area_heat_geo)
#.add(bar)
.add(tl)
.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(\'C:\\\\Users\\\\lenovo\\\\Desktop\\\\数据分析\\\\COVID-19 数据一览.html\')
with open(\"C:\\\\Users\\\\lenovo\\\\Desktop\\\\数据分析\\\\COVID-19 数据一览.html\", \"r+\", encoding=\'utf-8\') as html:
html_bf = BeautifulSoup(html, \'lxml\')
divs = html_bf.select(\'.chart-container\')
divs[0][
\'style\'] = \"width:411px;height:303px;position:absolute;top:5px;left:0px;border-style:solid;border-color:#444444;border-width:0px;\"
divs[1][
\"style\"] = \"width:605px;height:274px;position:absolute;top:36px;left:333px;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;\"
html_new = str(html_bf)
html.seek(0, 0)
html.truncate()
html.write(html_new)
html.close()
感谢腾讯实时提供更新疫情数据
感谢: sleepyyoung.博主的两篇文章
pyecharts实现新冠肺炎疫情可视化BI数据大屏.
pyecharts实现新冠肺炎疫情可视化并搭建BI数据大屏(Plus).
如有侵权，请联系侵删
需要本实验源数据的小伙伴请联系作者或联系QQ:2225872659
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