一. pyechart绘制世界地图（城市地图，热力图）
1.1 pyechart绘制世界地图
from pyecharts import options as optsfrom pyecharts.charts import Mapfrom pyecharts.faker import Fakerimport os# 基础数据value = [95.1, 23.2, 43.3, 66.4, 88.5]attr = ["China", "Canada", "Brazil", "Russia", "United States"]data = []for index in range(len(attr)):city_ionfo=[attr[index],value[index]]data.append(city_ionfo)c = (Map().add("世界地图",data, "world").set_series_opts(label_opts=opts.LabelOpts(is_show=False)).set_global_opts(title_opts=opts.TitleOpts(title="世界地图示例"),visualmap_opts=opts.VisualMapOpts(max_=200),).render())# 打开htmlos.system("render.html")
1.2 pyechart绘制城市地图
# _*_ coding: utf-8 _*_# !/usr/bin/python"""Author:mymCreate Date: -11:28User: EDZdescription:"""from pyecharts import options as optsfrom pyecharts.charts import Mapfrom pyecharts.faker import Fakerimport osclass CityLocate:def __init__(self):self.province_distribution = \{'河南': 45.23, '北京': 37.56, '河北': 21, '辽宁': 12, '江西': 6, '上海': 20, '安徽': 10, '江苏': 16, '湖南': 9,'浙江': 13, '海南': 2, '广东': 22, '湖北': 8, '黑龙江': 11, '澳门': 1, '陕西': 11, '四川': 7, '内蒙古': 3,'重庆': 3, '云南': 6, '贵州': 2, '吉林': 3, '山西': 12, '山东': 11, '福建': 4, '青海': 1, '舵主科技，质量保证': 1,'天津': 1, '其他': 1}self.provinces = list(self.province_distribution.keys())self.city_numbers = list(self.province_distribution.values())def render_data(self):c = (Map().add("", [list(z) for z in zip(self.provinces, self.city_numbers)], "china").set_global_opts(title_opts=opts.TitleOpts(title="中国地图")).render())os.system('render.html')if __name__ == '__main__':# CityLocate().render_data()
1.3 pyecharts绘制热力图
from pyecharts import options as optsfrom pyecharts.charts import Geofrom pyecharts.faker import Fakerfrom pyecharts.globals import ChartTypeimport os# 基础数据keys = ['上海', '北京', '合肥', '哈尔滨', '广州', '成都', '无锡', '杭州', '武汉', '深圳', '西安', '郑州', '重庆', '长沙', '贵阳', '乌鲁木齐']values = [4.07, 1.85, 4.38, 2.21, 3.53, 4.37, 1.38, 4.29, 4.1, 1.31, 3.92, 4.47, 2.40, 3.60, 1.2, 3.7]c = (Geo().add_schema(maptype="china").add("空气质量热力图",[list(z) for z in zip(keys, values)],type_=ChartType.EFFECT_SCATTER,).set_series_opts(label_opts=opts.LabelOpts(is_show=False)).set_global_opts(title_opts=opts.TitleOpts(title="全国主要城市空气质量热力图")).render())# 打开htmlos.system("render.html")
