我尝试使用Geopandas official tutorial和this数据集绘制多边形以使用Geopandas和Folium进行Map。我试着按照教程作为字面上，因为我可以，但仍然叶不画多边形。MatplotlibMap工作，我可以创建叶Map太多。验证码：

import pandas as pd
import geopandas as gdp
import folium
import matplotlib.pyplot as plt

df = pd.read_csv('https://geo.stat.fi/geoserver/wfs?service=WFS&version=2.0.0&request=GetFeature&typeName=postialue:pno_tilasto&outputFormat=csv')
df.to_csv('coordinates.csv')

#limit to Helsinki and drop unnecessary columns 
df['population_2019'] = df['he_vakiy']
df['zipcode'] = df['postinumeroalue'].astype(int)
df['population_2019'] = df['population_2019'].astype(int)
df = df[df['zipcode'] < 1000]
df = df[['zipcode', 'nimi', 'geom', 'population_2019']]
df.to_csv('coordinates_hki.csv')
df.head()

#this is from there: https://gis.stackexchange.com/questions/387225/set-geometry-in-#geodataframe-to-another-column-fails-typeerror-input-must-be
from shapely.wkt import loads
df = gdp.read_file('coordinates_hki.csv')
df.geometry =  df['geom'].apply(loads)
df.plot(figsize=(6, 6))
plt.show()

df = df.set_crs(epsg=4326)
print(df.crs)
df.plot(figsize=(6, 6))
plt.show()

m = folium.Map(location=[60.1674881,24.9427473], zoom_start=10, tiles='CartoDB positron')
m

for _, r in df.iterrows():
    # Without simplifying the representation of each borough,
    # the map might not be displayed
    sim_geo = gdp.GeoSeries(r['geometry']).simplify(tolerance=0.00001)
    geo_j = sim_geo.to_json()
    geo_j = folium.GeoJson(data=geo_j,
                           style_function=lambda x: {'fillColor': 'orange'})
      
    folium.Popup(r['nimi']).add_to(geo_j)
    geo_j.add_to(folium.Popup(r['nimi']))                  
m