基于Python绘制世界疫情地图详解

pip install echarts-countries-pypkg
pip install echarts-china-provinces-pypkg
pip install echarts-countries-china-cities-pypkg

import seaborn as sns
import numpy as np
import pandas as pd
import matplotlib as mpl
import matplotlib.pyplot as plt
%matplotlib inline
plt.rcParams['font.sans-serif']=['Microsoft YaHei'] # 用来正常显示中文标签
plt.rcParams['axes.unicode_minus']=False # 用来正常显示负号
from datetime import datetime
plt.figure(figsize=(16,10))
import pyecharts.options as opts
from pyecharts.charts import Line
from pyecharts.faker import Faker
from pyecharts.charts import Bar
import os
from pyecharts.options.global_options import ThemeType

alldfgbcountrysum=pd.read_csv("alldfgbcountrysum.csv",encoding='utf-8-sig')

alldfregiongbmax=alldfgbcountrysum.groupby(alldfgbcountrysum['Country_Region'])['Confirmed','Recovered','Deaths','Date'].max()

alldfregiongbmax.reset_index(inplace=True)

alldfregiongbmax.loc[(alldfregiongbmax['Country_Region']=='US','Country_Region')]='United States'
alldfregiongbmax[alldfregiongbmax['Countey_Region']=='United States']

# 地图绘制
from pyecharts import options as opts
from pyecharts.charts import Map 
import random
regions=alldfregiongbmax['Country_Region'].to_list()

regions2=[]
for i in range(len(regions)):
    regions2.append(regions[i])
regions2

data=[(i,alldfregiongbmax[alldfregiongbmax['Country_Region']==i]['Confirmed'].to_list()) for i in regions2]
data
imap=(
    Map(
        init_opts=opts.InitOpts(bg_color='rgba(255,250,205,0.2)',
                               width='1400px',
                                height='1000px',
                                page_title='疫情数据',
                                theme=ThemeType.ROMA
                               )
    )
    .add("确诊人数",data,"world",zoom=1)
    .set_global_opts(
        title_opts=opts.TitleOpts(title="世界疫情数据--地图绘制"),
        legend_opts=opts.LegendOpts(is_show=True),
        visualmap_opts=opts.VisualMapOpts(max_=80000000,min_=100000,is_piecewise=True,split_number=10),
    ) # 通过更改max_ ，min_ 来调整地图的颜色![请添加图片描述](https://img-blog.csdnimg.cn/58280443a30949cdbae0f4c35d223ed5.gif)

)
imap.render_notebook()