类型错误：TypeError：输入类型不支持 ufunc 'isnan'

问：

进口叶 nyc_neighborhoods_geojson = “file:///C:/Users/ahmed/Downloads/zip_code_040114.geojson” m = 叶子。Map（location=（40.7128， -74.0060）， zoom_start=3， tiles=“cartodb positron”）

    # Assuming 'ZIP CODE' is the key for ZIP code in your data
   df = df.dropna(subset=['ZIP CODE', 'CONTRIBUTING FACTOR VEHICLE 1'])

     # Group by ZIP CODE and find the most common contributing factor for each group
     zip_code_data = df.groupby('ZIP CODE')['CONTRIBUTING FACTOR VEHICLE 1'].agg(lambda x:                               
     x.mode().iat[0]).reset_index()
    # Use 'feature.properties.ZIPCODE' as the key for ZIP code
    folium.Choropleth(
     geo_data=nyc_neighborhoods_geojson, 
     data=zip_code_data,
     columns=['ZIP CODE', 'CONTRIBUTING FACTOR VEHICLE 1'],
     key_on="feature.properties.ZIPCODE",
 ).add_to(m)

   m.save("footprint.html")`