【武漢加油??】基于Pyecharts的疫情數據可視化～

前言

??疫情終將過去，靜待春暖花開～

??本文使用的數據源來自https://lab.isaaclin.cn/nCoV/zh；

??運行本項目需要將pyecharts版本更新至v1.6.2，!pip install pyecharts == 1.6.2；

??更好的閱讀體驗訪問我的Kesci Lab：點我跳轉；

相關教程：

• ?Pyecharts教程：超詳細Pyecharts 1.x教程，讓你的圖表動起來～

獲取數據

• ??接口地址：https://lab.isaaclin.cn/nCoV/api/area
• ??請求方式：GET
• ??主要字段：

代碼 & 效果

??導庫 & 數據請求

import requests
import pyecharts
from pyecharts.charts import *
from pyecharts import options as opts
from pyecharts.commons.utils import JsCode
from datetime import date

# 數據來源于 Github DXY-COVID-19-Data， 原作者為 Isaac Lin
url = 'https://lab.isaaclin.cn/nCoV/api/area'
data = requests.get(url).json()

# 生成更新日期
update_date = date.today()

??全球疫情地圖

oversea_confirm = []
for item in data['results']:
    if item['countryEnglishName']:
        oversea_confirm.append((item['countryEnglishName'].replace('United States of America', 'United States')
                                                          .replace('United Kiongdom', 'United Kingdom'), 
                                item['confirmedCount']))
    
    
_map = (
        Map(init_opts=opts.InitOpts(theme='dark'))
        .add("累計確診人數", oversea_confirm, "world",is_map_symbol_show=False)
        .set_series_opts(label_opts=opts.LabelOpts(is_show=False))
        .set_global_opts(
            title_opts=opts.TitleOpts(title="新型冠狀病毒全球疫情地圖",
                                     subtitle="更新日期：{}".format(update_date)),
            legend_opts=opts.LegendOpts(is_show=False),
            visualmap_opts=opts.VisualMapOpts(is_show=True, max_=50, 
                                              is_piecewise=False, 
                                              range_color=['#FFFFE0', '#FFFFE0', '#FFA07A', '#CD5C5C', '#8B0000']),
            graphic_opts=[
                    opts.GraphicGroup(
                        graphic_item=opts.GraphicItem(
                            bounding="raw",
                            right=150,
                            bottom=50,
                            z=100,
                        ),
                        children=[
                            opts.GraphicRect(
                                graphic_item=opts.GraphicItem(
                                    left="center", top="center", z=100
                                ),
                                graphic_shape_opts=opts.GraphicShapeOpts(
                                    width=200, height=50
                                ),
                                graphic_basicstyle_opts=opts.GraphicBasicStyleOpts(
                                    fill="rgba(0,0,0,0.3)"
                                ),
                            ),
                            opts.GraphicText(
                                graphic_item=opts.GraphicItem(
                                    left="center", top="center", z=100
                                ),
                                graphic_textstyle_opts=opts.GraphicTextStyleOpts(
                                    text=JsCode("['鉆石號郵輪', '累計確診人數：{}人'].join('\\n')"
                                                .format(dict(oversea_confirm)['Diamond Princess Cruise Ship'])),
                                    font="bold 16px Microsoft YaHei",
                                    graphic_basicstyle_opts=opts.GraphicBasicStyleOpts(
                                        fill="#fff"
                                    ),
                                ),
                            ),
                        ],
                    )
                ],
        )
    )

_map.render_notebook()

?? 全國疫情地圖

province_data = []
for item in data['results']:
    if item['countryName'] == '中國':
        province_data.append((item['provinceShortName'], item['confirmedCount']))
        
_map = (
        Map(init_opts=opts.InitOpts(theme='dark'))
        .add("累計確診人數", province_data, "china",is_map_symbol_show=False)
        .set_series_opts(label_opts=opts.LabelOpts(is_show=True))
        .set_global_opts(
            title_opts=opts.TitleOpts(title="新型冠狀病毒全國疫情地圖",
                                     subtitle="更新日期：{}".format(update_date)),
            legend_opts=opts.LegendOpts(is_show=False),
            visualmap_opts=opts.VisualMapOpts(is_show=True, max_=1000, 
                                              is_piecewise=False, 
                                              range_color=['#FFFFE0', '#FFA07A', '#CD5C5C', '#8B0000'])
        )
)

_map.render_notebook()

??湖北省內確診情況

for item in data['results']:
    if item['provinceShortName'] == '湖北':
        hubei_data = item['cities']
        
bar = (
        Bar(init_opts=opts.InitOpts(theme='dark'))
        .add_xaxis([x['cityName'] for x in hubei_data])
        .add_yaxis("累計確診人數", [x['confirmedCount'] for x in hubei_data])
        .add_yaxis("當前確診人數", [x['currentConfirmedCount'] for x in hubei_data])
        .set_series_opts(label_opts=opts.LabelOpts(is_show=False))
        .set_global_opts(
            title_opts=opts.TitleOpts(title="新型冠狀病毒湖北省內確診情況",
                                     subtitle="更新日期：{}".format(update_date)),
            xaxis_opts=opts.AxisOpts(axislabel_opts=opts.LabelOpts(rotate=45)),
            legend_opts=opts.LegendOpts(is_show=True),
            graphic_opts=[
                    opts.GraphicGroup(
                        graphic_item=opts.GraphicItem(
                            bounding="raw",
                            right=300,
                            top=120
                        ),
                        children=[
                            opts.GraphicRect(
                                graphic_item=opts.GraphicItem(
                                    left="center", top="center"
                                ),
                                graphic_shape_opts=opts.GraphicShapeOpts(
                                    width=200, height=60
                                ),
                                graphic_basicstyle_opts=opts.GraphicBasicStyleOpts(
                                    fill="rgba(0,0,0,0.3)"
                                ),
                            ),
                            opts.GraphicText(
                                graphic_item=opts.GraphicItem(
                                    left="center", top="center", z=1
                                ),
                                graphic_textstyle_opts=opts.GraphicTextStyleOpts(
                                    text=JsCode("['當前確診人數：', '','累計確診人數-死亡人數-治愈人數'].join('\\n')"),
                                    font="bold 12px Microsoft YaHei",
                                    graphic_basicstyle_opts=opts.GraphicBasicStyleOpts(
                                        fill="#fff"
                                    ),
                                ),
                            ),
                        ],
                    )
                ],
                )
        )

bar.render_notebook()

??全國確診熱力地圖

cities_data = []
for item in data['results']:
    if item['countryName'] == '中國':
        cities_data.extend((item['cities']))
        
geo = (
        Geo(init_opts=opts.InitOpts(theme='dark'))
        .add_schema(maptype="china", zoom=3, center=[114.31,30.52])
        .add("累計確診人數", 
             [(i['cityName'], i['currentConfirmedCount']) for i in cities_data 
              if i['cityName'] in pyecharts.datasets.COORDINATES.keys()], 
             type_='heatmap',
             symbol_size=3,
             progressive=50)
        .set_series_opts(label_opts=opts.LabelOpts(is_show=False))
        .set_global_opts(
            title_opts=opts.TitleOpts(title="新型冠狀病毒全國疫情熱力圖",
                                     subtitle="更新日期：{}".format(update_date),
                                     pos_left='right'),
            legend_opts=opts.LegendOpts(is_show=False),
            visualmap_opts=opts.VisualMapOpts(is_show=True, 
                                              is_piecewise=False, 
                                              range_color=['blue', 'green', 'yellow', 'yellow', 'red'])
        )
)

geo.render_notebook()

• ??Coding不易，歡迎點贊支持～