如何在大叶草上绘制世界地图并在其上指出一些国家？

如何解决如何在大叶草上绘制世界地图并在其上指出一些国家？

有人可以告诉我如何使用matplotlib / folium绘制世界地图并在其上指示10-15个国家吗？ 我下载了“ world-countries.json”，因此获得了世界地图（在Jupyter笔记本中）：

    import folium 
    import json
    import pandas as pd
    import pathlib
    
    world_path = pathlib.Path('world-countries.json')
    
    with open(world_path) as f:
        world = json.load(f)
    
    from folium import GeoJson
    m = folium.Map(tiles=None)
    GeoJson(world).add_to(m)
    
    data = pd.read_csv('15_countires.csv')
    data.shape

    map.choropleth(geo_data=world_path,data=data,columns=['CountryCode'],key_on='feature.id',fill_color='YlGnBu',fill_opacity=0.7,line_opacity=0.2)

但是如何在上面标明国家并为其着色呢？ 或者，也许我可以不用 geojson 而做到，仅使用 叶片 吗？

解决方法

把这个问题比问题更进一步。这很简单

1. 最好每个国家都用不同的颜色覆盖。所以我从维基百科页面上得到了国家的颜色。这是代码的大部分，都是源代码。
2. world-countries.json 中缺少国家/地区。尤其是我居住的地方。
3. 我之所以使用pandas，主要是因为我对准备和使用数据非常熟悉。

import requests,json,re,folium
from bs4 import BeautifulSoup
import pandas as pd

# dynamically get the world-country boundaries 
res = requests.get("https://raw.githubusercontent.com/python-visualization/folium/master/examples/data/world-countries.json")
df = pd.DataFrame(json.loads(res.content.decode()))
df = df.assign(id=df["features"].apply(pd.Series)["id"],name=df["features"].apply(pd.Series)["properties"].apply(pd.Series)["name"])

# build a dataframe of country colours scraped from wikipedia
resp = requests.get("https://en.wikipedia.org/wiki/National_colours",)
soup = BeautifulSoup(resp.content.decode(),"html.parser")
colours = []
for t in soup.find_all("table",class_="wikitable"):
    cols = t.find_all("th")
    ok = (len(cols)>5 and cols[0].string.strip()=="Country" and cols[4].string.strip()=="Primary")
    if ok:
        for tr in t.find_all("tr"):
            td = tr.find_all("td")
            if len(td)>5:
                sp = td[4].find_all("span")
                c1 = re.sub("background-color:([\w,#,0-9]*).*",r"\1",sp[0]["style"])
                c2 = c1 if len(sp)==1 else re.sub("background-color:([\w,sp[1]["style"])
                colours.append({"country":td[0].find("a").string,"colour1":c1,"colour2":c2,})
dfc = pd.DataFrame(colours).set_index("country")  

# a list of interesting countries - Singapore is missing!
countries = ["Singapore","Malaysia","Indonesia","Vietnam","Philippines"]

# style the overlays with the countries own colors...
def style_fn(feature):
    cc = dfc.loc[feature["properties"]["name"]]
    ss= {'fillColor':f'{cc[0]}','color':f'{cc[1]}'}
    return ss

# create the base map
m = folium.Map(location = [1.34,103.82],zoom_start=6,control_scale=True)

# overlay desired countries over folium map
for r in df.loc[df["name"].isin(countries)].to_dict(orient="records"):
    folium.GeoJson(r["features"],name=r["name"],tooltip=r["name"],style_function=style_fn).add_to(m)

m