choropleth() got an unexpected keyword argument 'bins' ​ on folium 0.5.0

Question

I am joining on an online course on Data science (to enriching my own skill set). This is the last project to be handed in for the course

The current request is to make a choropleth map.

This is my code

!conda install -c conda-forge folium=0.5.0 --yes 
import folium

!wget --quiet https://ibm.box.com/shared/static/cto2qv7nx6yq19logfcissyy4euo8lho.json
-O world_countries.json sfgeo=r'world_countries.json'

sfmap=folium.Map(location=[37.77986,-122.42905],zoom_start=12)

threshold_scale = np.linspace(df1_count['Count'].min(), df1_count['Count'].max(), 6, dtype=int) 
threshold_scale = threshold_scale.tolist()


sfmap.choropleth(geo_data=sfgeo,
            data=df1_count,
            columns=['PdDistrict','Count'],
            bins = threshold_scale,
            key_on='feature.properties.name',
            fill_color = 'YlOrRd',
            fill_opacity = 0.7,
            line_opacity=0.2,
            legend_name='Rate'                
            )

sfmap

The error reported is as below

TypeError                                 Traceback (most recent call last)
<ipython-input-75-1f74ef523c22> in <module>
 13                 fill_opacity = 0.7,
 14                 line_opacity=0.2,
---> 15                 legend_name='Rate'
 16                 )
 17 

TypeError: choropleth() got an unexpected keyword argument 'bins'

For the record and easy to follow, this is my df1_count dataframe (censored because someone might "steal" this, which means I'm violating the code of the course)

Thank you for your assistance

Answer 1

Try this.

folium.Choropleth(geo_data=sfgeo,
            data=df1_count,
            columns=['PdDistrict','Count'],
            bins = threshold_scale,
            key_on='feature.properties.name',
            fill_color = 'YlOrRd',
            fill_opacity = 0.7,
            line_opacity=0.2,
            legend_name='Rate'                
).add_to(sfmap)