pycharts实现地图可视化(世界地图、中国地图、省份地图)

使用之前先导入包，pycharts的1.x版本和0.5不兼容，我的环境之前是1.x版本，所以下面都是以1.x版本为例。

from pyecharts.charts import Map
from pyecharts.charts import *
from pyecharts.globals import ThemeType
from pyecharts import options as opts
#创建一个map对象
#init_opts用来初始化配置
#初始化配置项包括
'''
# 图表画布宽度，css 长度单位。width: str = "900px",# 图表画布高度，css 长度单位。height: str = "500px",# 图表 ID，图表唯一标识，用于在多图表时区分。chart_id: Optional[str] = None,# 渲染风格，可选 "canvas", "svg"# # 参考 `全局变量` 章节renderer: str = RenderType.CANVAS,# 图表标题page_title: str = "Awesome-pyecharts",# 图表样式theme: str = "white",# 图表背景颜色bg_color: Optional[str] = None,# 远程 js host，如不设置默认为 https://assets.pyecharts.org/assets/"# 参考 `全局变量` 章节js_host: str = "",
'''
china_map = Map(init_opts=opts.InitOpts(theme=ThemeType.MACARONS ,width="1000px",height='700px',page_title="2019_nCoV-中国疫情地图"))
#全局配置项china_map.set_global_opts(title_opts=opts.TitleOpts(title="2019_nCoV-中国疫情地图"))#series_name#maptype是地图的类型china就是中国地图，world就是世界地图#湖北就是湖北地图，山东就是山东地图，is_selected=True,#控制开始时位于图标上方的小按钮是否选中china_map.add(series_name="确诊病例", data_pair=province_total, maptype='china', is_selected=True,#控制开始时的小按钮是否选中center=["100%","100%"],)china_map.set_global_opts(title_opts=opts.TitleOpts(title="2019_nCoV-中国疫情地图"),visualmap_opts=opts.VisualMapOpts(is_piecewise=True,pieces=[{"min": 201, "label": '>300'},{"min": 101, "max": 200,"label":'101-200'},# 不指定 max，表示 max 为无限大{"min": 10, "max": 100, "label": '10-100'},{"min": 0, "max": 9, "label": '0-9'}]))
#is_show=True用于控制地图上是否显示省份，国家，地市的名字china_map.set_series_opts(label_opts=opts.LabelOpts(is_show=True))page = Page()#创建一个页面对象，使用add方法把地图加入到该页面，用于使用一个页面显示多张图表的问题。page.add(china_map)#生成一个html文件page.render(path="2019_nCoV-疫情地图.html")

pyechart给使用用户提供了一套主题样式，使用户对其的使用更加方便。pyecharts.globals中ThemeType所有主题风格，修改上面代码中的theme参数即可。
CHALK = ‘chalk’ #粉笔风
DARK = ‘dark’ #暗黑风
ESSOS = ‘essos’ #厄索斯大陆
INFOGRAPHIC = ‘infographic’ #信息图
LIGHT = ‘light’ #明亮风格
MACARONS = ‘macarons’ #马卡龙
PURPLE_PASSION = ‘purple-passion’ #紫色激情
ROMA = ‘roma’ #石榴
ROMANTIC = ‘romantic’ #浪漫风
SHINE = ‘shine’ #闪耀风
VINTAGE = ‘vintage’ #复古风
WALDEN = ‘walden’ #瓦尔登湖
WESTEROS = ‘westeros’ #维斯特洛大陆
WHITE = ‘white’ #洁白风
WONDERLAND = ‘wonderland’ #仙境

参考博客：
用PyEcharts实现数据可视化快速上手指南
官方文档1.X版本
InitOpts：初始化配置项
Pyechart 所有主题样式
PyEcharts——地图-数据可视化-画图
完整代码：

import requests
import json
from pyecharts.charts import Map
from pyecharts.charts import *
from pyecharts.globals import ThemeType
from pyecharts import options as opts
from 新冠病毒.EnglishCountryName import encountry
def getData():url = 'https://view.inews.qq.com/g2/getOnsInfo?name=disease_h5'response = requests.get(url=url).json()data = json.loads(response['data'])print(data)return data
def parser():data = getData()lastUpdateTime = data["lastUpdateTime"]chinaTotal = data["chinaTotal"]print("更新时间:" + lastUpdateTime)chinaTotal = {"确诊":chinaTotal['confirm'],"治愈":chinaTotal['heal'],"死亡":chinaTotal['dead'],"疑似":chinaTotal['suspect'],"境外输入":chinaTotal['importedCase']}print(chinaTotal)# 中国境内area_china = data['areaTree']#area_china是列表china_province = area_china[0]['children']#china_province也是列表area_china_province_dict = {}area_china_city_dict = {}# 34个省直辖区for i in range(0,len(china_province)):# 各省份名称  china_province[i]字典类型li = []province_name = china_province[i]["name"]# 各省今天新增确认province_today_confirm = china_province[i]["today"]['confirm']# 各省总共province_total_confirm =  china_province[i]['total']['confirm']province_total_suspect = china_province[i]['total']['suspect']province_total_dead = china_province[i]['total']['dead']province_total_heal = china_province[i]['total']['heal']province_total_healRate = china_province[i]['total']['healRate']province_total_deadRate = china_province[i]['total']['deadRate']li.append(province_today_confirm)li.append(province_total_confirm)li.append(province_total_suspect)li.append(province_total_dead)li.append(province_total_heal)li.append(province_total_healRate)li.append(province_total_deadRate)area_china_province_dict[province_name] = li#获取省份地市for j in range(0, len(china_province[i]['children'])):city_li = []city_name = china_province[i]['children'][j]["name"]city_today_confirm = china_province[i]['children'][j]["today"]['confirm']city_li.append(city_today_confirm)# for value in china_province[i]['children'][j]["total"].values():#     city_li.append(value)city_total_confirm = china_province[i]['children'][j]["total"]['confirm']city_total_suspect = china_province[i]['children'][j]["total"]['suspect']city_total_dead = china_province[i]['children'][j]["total"]['dead']city_total_heal = china_province[i]['children'][j]["total"]['heal']city_total_healRate = china_province[i]['children'][j]["total"]['healRate']city_total_deadRate = china_province[i]['children'][j]["total"]['deadRate']city_li.append(city_total_confirm)city_li.append(city_total_suspect)city_li.append(city_total_dead)city_li.append(city_total_heal)city_li.append(city_total_healRate)city_li.append(city_total_deadRate)area_china_city_dict[city_name] = city_lireturn area_china_province_dict,area_china_city_dictdef drawMap(china_province,china_city):page = Page()province_total = []for key,value in china_province.items():province_detail = []province_detail.append(key)province_detail.append(value[1])province_total.append(province_detail)# print(province_total)china_map = Map(init_opts=opts.InitOpts(theme=ThemeType.MACARONS ,width="1000px",height='700px',page_title="2019_nCoV-中国疫情地图"))china_map.set_global_opts(title_opts=opts.TitleOpts(title="2019_nCoV-中国疫情地图"))china_map.add(series_name="确诊病例", data_pair=province_total, maptype='china', is_selected=True,#控制开始时的小按钮是否选中center=["100%","100%"],)china_map.set_global_opts(title_opts=opts.TitleOpts(title="2019_nCoV-中国疫情地图"),visualmap_opts=opts.VisualMapOpts(is_piecewise=True,pieces=[{"min": 201, "label": '>300'},{"min": 101, "max": 200,"label":'101-200'},# 不指定 max，表示 max 为无限大{"min": 10, "max": 100, "label": '10-100'},{"min": 0, "max": 9, "label": '0-9'}]))china_map.set_series_opts(label_opts=opts.LabelOpts(is_show=True))page.add(china_map)province_city_total = []for key, value in china_city.items():province_city_detail = []province_city_detail.append(key)province_city_detail.append(value[1])province_city_total.append(province_city_detail)# print(province_city_total)hubei = []for i in range(0, 17):if province_city_total[i][0] == '神农架':province_city_total[i][0] = '神农架林区'elif province_city_total[i][0] == '恩施州':province_city_total[i][0] = '恩施土家族苗族自治州'else:province_city_total[i][0] = str(province_city_total[i][0]) + '市'hubei.append(province_city_total[i])# print(hubei)hubei_map = Map(init_opts=opts.InitOpts(theme=ThemeType.WALDEN, width="1000px", height='700px',page_title="2019_nCoV-湖北省疫情地图"))# print(provice,values)hubei_map.set_global_opts(title_opts=opts.TitleOpts(title="2019_nCoV-湖北省疫情地图"))hubei_map.add(series_name="确诊病例", data_pair=hubei, maptype='湖北', is_selected=True,is_map_symbol_show=False)hubei_map.set_global_opts(title_opts=opts.TitleOpts(title="2019_nCoV-湖北省疫情地图"),visualmap_opts=opts.VisualMapOpts(is_piecewise=True,pieces=[{"min": 1501, "label": '>1501'},# 不指定 max，表示 max 为无限大{"min": 100, "max": 400, "label": '100-400'},{"min": 401, "max": 1000, "label": '401-1000'},{"min": 1001, "max": 1500, "label": '1001-1500'},]))hubei_map.set_series_opts(label_opts=opts.LabelOpts(is_show=True))  # 控制是否显示国家名page.add(hubei_map)world_data = getData()print(world_data)print(world_data['lastUpdateTime'])# print(world_data['chinaTotal'])global_country_confirm = []for i in range(0,len(world_data['areaTree'])):# print(world_data['areaTree'][i])#获取每个国家所有的疫情信息li = []dead = []# li.append(world_data['areaTree'][i])country_name = world_data['areaTree'][i]["name"]# li.append(world_data['areaTree'][i]["today"]['confirm'])li.append(world_data['areaTree'][i]["total"]['confirm'])# li.append(world_data['areaTree'][i]["total"]['head'])global_country_confirm.append([country_name,li])print(global_country_confirm)#['中国', [70, 81186, 81186]]en = encountry()for i in range(len(global_country_confirm)):for key, value in en.items():if global_country_confirm[i][0] == key :global_country_confirm[i][0] = valueprint(global_country_confirm[i])world_map = Map(init_opts=opts.InitOpts(theme=ThemeType.WALDEN))world_map.add(series_name="确诊病例", data_pair=global_country_confirm, maptype='world', is_selected=True, is_map_symbol_show=False)world_map.set_global_opts(title_opts=opts.TitleOpts(title="2019_nCoV-世界疫情地图"),visualmap_opts=opts.VisualMapOpts(is_piecewise=True,pieces=[{"min": 101, "label": '>100'},# 不指定 max，表示 max 为无限大{"min": 10, "max": 100, "label": '10-100'},{"min": 0, "max": 9, "label": '0-9'}]))world_map.set_series_opts(label_opts=opts.LabelOpts(is_show=False))#控制是否显示国家名page.add(world_map)# 重点国家的死亡率page.render(path="2019_nCoV-疫情地图.html")if __name__ == '__main__':china_province,china_city = parser()drawMap(china_province, china_city)

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