Incorrect data labels with `.add_data()`? about leafmap

[giswqs]

@cboettig Thank you for reporting. The add_data method uses the mapclassify package to reclassify column values. The default classification scheme is Quantiles. Somehow it does not reclassify the categorical values properly. I am not sure why. Changing the classification scheme to NaturalBreaks solves the issue. The opacity of the layer can be controlled by the style_function.

import geopandas as gpd
import leafmap.foliumap as leafmap
sf_url = "/vsicurl/https://dsl.richmond.edu/panorama/redlining/static/citiesData/CASanFrancisco1937/geojson.json"
sf = gpd.read_file(sf_url)
sf = sf[sf.residential]
m = leafmap.Map(draw_control=False, measure_control=False, center=[37.75, -122.45], zoom=13)

style_function = lambda feat: {
                # "stroke": False,
                # "color": "#ff0000",
                "weight": 1,
                "opacity": 1,
                # "fill": True,
                # "fillColor": "#ffffff",
                "fillOpacity": 0.5,
                # "dashArray": "9"
                # "clickable": True,
                "fillColor": feat["properties"]["color"],
            }

m.add_data(sf, 
           column="grade",
           layer_name = "Grade", 
           colors = ["green", "blue", "orange", "red"],
           scheme="NaturalBreaks",
           k=4,
           style_function=style_function)
m

[cboettig]

🎉 wow, perfect! Many thanks.