reverse classification with mapclassify pysal library?

Question

quick theoretical/coding question.

I am trying to create an index that reverse classifies median household income, assuming that in a vulnerability index, lower income census tracts are more vulnerable.

Presently, I am referring to the mapclassify.NaturalBreaks documentation.

So, let's say that my geodataframe is gdf and I follow along this Automating GIS tutorial.

import mapclassify
import geopandas as gpd

gdf = gpd.read_file('census.geojson', crs='epsg:3857')

classifier = mapclassify.NaturalBreaks(k=5, reverse=True)

gdf['median_household_index'] = gdf[['median_household_income']].apply(classifier)

would this work? I cannot find any parameters or documentation that discusses reverse reclassification. Appreciate any helpful links or code snippets.

thanks,

Chris

import pysal as ps
import mapclassify as mc
import geopandas as gpd

gdf = gpd.read_file('census.geojson', crs='epsg:3857')

classifier = mc.NaturalBreaks(k=5, reverse=True)

gdf['median_household_index'] = gdf[['median_household_income']].apply(classifier)

gdf.head()

in theory, I assume this would work...stackoverflow is asking me to post this minimum reproducible code example. but this does not work when I run it ...