据我所知，在plotly community中也有类似的问题，但没有解决方案。我建议使用geojson文件的替代解决方案。从参考中获取US geojson文件，并将其与佛罗里达的数据相结合。使用此组合的地理数据框架来可视化人口数据。将目标元素更改为适合您目的的数据。

import pandas as pd

df_sample = pd.read_csv('https://raw.githubusercontent.com/plotly/datasets/master/minoritymajority.csv')
df_sample_r = df_sample[df_sample['STNAME'] == 'Florida']
values = df_sample_r['TOT_POP'].tolist()
fips = df_sample_r['FIPS'].tolist()

df_sample_r['FIPS'] = df_sample_r['FIPS'].astype('str') 

import geopandas as gpd

url = 'https://raw.githubusercontent.com/plotly/datasets/master/geojson-counties-fips.json'
geo_counties = gpd.read_file(url)
geo_df = geo_counties.merge(df_sample_r, left_on='id', right_on='FIPS')
geo_df = geo_df.set_index('id')

import plotly.graph_objects as go

fig = go.Figure(go.Choroplethmapbox(geojson=geo_df.__geo_interface__,#json.loads(geo_df.to_json()), 
                                    locations=geo_df.index,
                                    z=geo_df['TOT_POP'],
                                    colorscale="Viridis",
                                    marker_opacity=0.5,
                                    marker_line_width=0.5
                                   ))

fig.update_layout(mapbox_style="carto-positron",
                  mapbox_zoom=5,
                  mapbox_center = {"lat": 27.6648, "lon": -81.5157})
fig.update_layout(height=600, margin={"r":0,"t":20,"l":0,"b":0})
fig.show()