近來武漢肺炎肆虐全國，大多人的日常應該是宅在家里。出于好奇，筆者想用Python來繪制中國2020肺炎疫情地圖。

本代碼采用Python3，需要安裝模塊：pyecharts和echarts-china-provinces-pypkg。

Python代碼如下：

# -*- coding: utf-8 -*-# author: Jclian91# time: 2020-01-29 11:37# -*- coding: utf-8 -*-# author: Jclian91# time: 2020-01-29 11:37from pyecharts.charts import Mapfrom pyecharts import options as opts# 省和直轄市province_distribution = {'湖北':3554, '浙江':296, '廣東': 241,       '湖南':221, '河南':206, '安徽': 152,       '重慶':147, '山東':121, '江西': 109,       '四川':108, '江蘇':99, '北京':91,       '福建':82, '上海':80, '廣西':58,       '陜西':56, '河北':48, '云南':44,       '海南':43, '黑龍江':37, '遼寧':36,       '山西':27, '天津':25, '甘肅':24,       '內蒙古':16, '新疆':13, '寧夏':12,       '貴州':9, '吉林':9, '臺灣':8,       '香港':8, '澳門':7, '青海':6,       '西藏':0       }# maptype='china' 只顯示全國直轄市和省級map = Map()map.set_global_opts( title_opts=opts.TitleOpts(title="20200129中國疫情地圖"), visualmap_opts=opts.VisualMapOpts(max_=3600, is_piecewise=True,          pieces=[          {"max": 5000, "min": 1001, "label": ">1000", "color": "#8A0808"},          {"max": 1000, "min": 500, "label": "500-1000", "color": "#B40404"},          {"max": 499, "min": 100, "label": "100-499", "color": "#DF0101"},          {"max": 99, "min": 10, "label": "10-99", "color": "#F78181"},          {"max": 9, "min": 1, "label": "1-9", "color": "#F5A9A9"},          {"max": 0, "min": 0, "label": "0", "color": "#FFFFFF"},          ], ) #最大數據范圍，分段 )map.add("20200129中國疫情地圖", data_pair=province_distribution.items(), maptype="china", is_roam=True)map.render('20200129中國疫情地圖.html')from pyecharts.charts import Mapfrom pyecharts import options as opts# 省和直轄市province_distribution = {'湖北':3554, '浙江':296, '廣東': 241,       '湖南':221, '河南':206, '安徽': 152,       '重慶':147, '山東':121, '江西': 109,       '四川':108, '江蘇':99, '北京':91,       '福建':82, '上海':80, '廣西':58,       '陜西':56, '河北':48, '云南':44,       '海南':43, '黑龍江':37, '遼寧':36,       '山西':27, '天津':25, '甘肅':24,       '內蒙古':16, '新疆':13, '寧夏':12,       '貴州':9, '吉林':9, '臺灣':8,       '香港':8, '澳門':7, '青海':6,       '西藏':0       }# maptype='china' 只顯示全國直轄市和省級map = Map()map.set_global_opts( title_opts=opts.TitleOpts(title="20200129中國疫情地圖"), visualmap_opts=opts.VisualMapOpts(max_=3600, is_piecewise=True,          pieces=[          {"max": 5000, "min": 1001, "label": ">1000", "color": "#8A0808"},          {"max": 1000, "min": 500, "label": "500-1000", "color": "#B40404"},          {"max": 499, "min": 100, "label": "100-499", "color": "#DF0101"},          {"max": 99, "min": 10, "label": "10-99", "color": "#F78181"},          {"max": 9, "min": 1, "label": "1-9", "color": "#F5A9A9"},          {"max": 0, "min": 0, "label": "0", "color": "#FFFFFF"},          ], ) #最大數據范圍，分段 )map.add("20200129中國疫情地圖", data_pair=province_distribution.items(), maptype="china", is_roam=True)map.render('20200129中國疫情地圖.html')