pip install pyecharts
pip install echarts-countries-pypkg
pip install echarts-china-provinces-pypkg
pip install echarts-china-cities-pypkg
pip install echarts-countries-pypkg
pip install echarts-china-provinces-pypkg
pip install echarts-china-cities-pypkg
pip install echarts-china-counties-pypkg
pip install echarts-china-misc-pypkg

from pyecharts import Bar
from pyecharts import Map, Geo
import pandas as pd 
#读取数据
inpath = 'D:/Users/traindatas/map_2.csv' #数据路径
data = pd.read_csv(inpath , header = 'infer') #读取数据
 
#浏览数据
data.head()

#取出日期
IsDuplicated = data['effectdate'] 
list_of_month = list(IsDuplicated.drop_duplicates())
 
#循环，做出每个月的分布图
for month in list_of_month:
 # 城市酒店数
 df = data[data['effectdate'] == month]
 indexs = list(df['cityname'])
 values = list(df['masterhotelid'])
 
 geo = Geo("全国酒店分布", str(month) + "全国酒店分布", title_color="#fff", title_pos="center", width=1200, height=600, background_color='#404a59')
 
 # type="effectScatter", is_random=True, effect_scale=5 使点具有发散性
 geo.add("全国酒店分布", indexs, values, type="effectScatter", is_random=True, effect_scale=5, visual_range=[0, 900],visual_text_color="#fff", symbol_size=15, is_visualmap=True, is_roam=False)
 
 
 #geo.show_config()
 filepath = 'D:/Users/pythonfeature/map/' +str(month) + '_month.html'
 geo.render(path=filepath)