Folium 地图适合屏幕，当滚动缩放过多时

问：

我正在尝试使用 Foium 将美国地图调整到屏幕上。滚动浏览地图时，它会放大和缩小太多，这不清晰可见。我需要将地图调整到屏幕上才能查看它。 问题出在我得到的参数 zoom_start=5 在地图下方

对于 zoom_start=4，我得到了这样的缩小地图

我需要正确拟合地图，以便我可以正确地看到州名称。 这是我的示例代码：

from folium.features import DivIcon
import folium
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import geopandas as gpd
import requests
import folium, os

ky_counties = gpd.read_file('cb_2021_us_county_500k.zip')
lat_long_df=pd.read_excel('long_lat.xlsx')

ky_counties['fips'] = ky_counties['GEOID']
lat_long_df['fips'] = lat_long_df['fips'].astype(str).str.zfill(5)
ky_counties = (ky_counties.merge(lat_long_df, how = 'left', on = 'fips'))


df=pd.read_excel('plot_data.xlsx')
df['fips'] = df['FIPS'].astype(str).str.zfill(5)

df_map = (ky_counties.merge(df, how = 'left', on = 'fips')
                     .rename(columns = {'incidence' : 'Incidence Rate',
                                       'hcp_cnt' : '# of HCPs',
                                       'NAME' : 'County Name',
                                       'STATE_NAME':'State'}))

new_df_map= df_map.copy()
df_map['# of HCPs'] = df_map['# of HCPs'].fillna('-')

import matplotlib
def colors2cmap(*args, name=None):
    cmap_data = [matplotlib.colors.to_hex(c) for c in args]
    cmap = matplotlib.colors.LinearSegmentedColormap.from_list(name, cmap_data)
    return cmap
color_list=colors2cmap("#e1f2f2", "#A8DCDC", "#115F5F", name='color_list')
country_geo = os.path.join('us-states.json')
from branca import colormap as cm

m = folium.Map(location=[40, -96], zoom_start=4) #zoom_start = 5, max_zoom = 5
m.choropleth(
 geo_data=country_geo,
 name='choropleth',
 data=df_map,
 columns=['State', 'Incidence Rate'],
 key_on='feature.properties.name',
 fill_color='YlGn',
 fill_opacity=0.6, #.7
 line_opacity=0.1, #.2
 legend_name='Test'
)
plot_ll=new_df_map.groupby(by=['STUSPS','State'], as_index=False)['# of HCPs'].sum()
plot_ll['# of HCPs']=plot_ll['# of HCPs'].astype(int)
plot_ll=plot_ll[plot_ll['# of HCPs']>=1]

st_lat_lng=pd.read_csv('statelatlong.csv')
plot_ll=plot_ll.merge(st_lat_lng,how = 'inner', left_on='STUSPS', right_on='State')
# plot_ll=new_df_map.groupby(by=['STUSPS','State','lat','lng'], as_index=False)['# of HCPs'].sum()

locations=list(zip(plot_ll.lat, plot_ll.lng))
hcp_cnt_disp=list(plot_ll['# of HCPs'])
state_name=list(plot_ll['City'])

linear = cm.LinearColormap(["yellow", "yellow"], vmin=plot_ll['# of HCPs'].min(), vmax=plot_ll['# of HCPs'].max())

for i in range(len(locations)):
    folium.Marker(locations[i], icon=DivIcon(
            # icon_size=(150,36),
            icon_anchor=(5,7),
            html='<div style="font-size: 7pt; color : black; text-align: center">%s</div>'%hcp_cnt_disp[i],
            )).add_to(m)
    # m.add_child(folium.CircleMarker(p2, radius=15))

    m.add_child(folium.CircleMarker(location=locations[i],radius=8,fill=True, color = linear(hcp_cnt_disp[i]),
            opacity=0.4, fill_opacity=.3,
            tooltip='{}: {}'.format(",County Name: <b>"+state_name[i]+"</b><br>", "HCP Count: <b>"+str(hcp_cnt_disp[i])+"</b>")))
folium.TileLayer("CartoDB positron", show=False).add_to(m)
folium.LayerControl().add_to(m)
m.save('new_base_map.html')

请帮忙。TIA！