如何隐藏 python folium choropleth 传说

Question

I have created a folium map with two choropleths layers:

https://ghana.deta.dev/

As you can see in the picture, only one layer is right now selected (green). Yet, the legend is shown for both (blue and green).

Is there a way to sync it with the layer control?

Instead of my code, I am linking the folium Choropleth tutorial to make it more usable for everyone:

source: https://python-visualization.github.io/folium/quickstart.html#Choropleth-maps As you can see, regardless of the layer control, the legend is always on.

Answer 1

r-beginners provided the clue to this solution in their comment. A few additional re-works were necessary so I consider it worth adding the code for future reference.

Explaining the solution briefly, the branca color map is first removed to then be re-added to the map binded to the choropleth layer itself thanks to a custom macro element.

from branca.element import MacroElement

from jinja2 import Template

import pandas as pd


class BindColormap(MacroElement):
    """Binds a colormap to a given layer.

    Parameters
    ----------
    colormap : branca.colormap.ColorMap
        The colormap to bind.
    """
    def __init__(self, layer, colormap):
        super(BindColormap, self).__init__()
        self.layer = layer
        self.colormap = colormap
        self._template = Template(u"""
        {% macro script(this, kwargs) %}
            {{this.colormap.get_name()}}.svg[0][0].style.display = 'block';
            {{this._parent.get_name()}}.on('overlayadd', function (eventLayer) {
                if (eventLayer.layer == {{this.layer.get_name()}}) {
                    {{this.colormap.get_name()}}.svg[0][0].style.display = 'block';
                }});
            {{this._parent.get_name()}}.on('overlayremove', function (eventLayer) {
                if (eventLayer.layer == {{this.layer.get_name()}}) {
                    {{this.colormap.get_name()}}.svg[0][0].style.display = 'none';
                }});
        {% endmacro %}
        """)  # noqa

url = (
    "https://raw.githubusercontent.com/python-visualization/folium/master/examples/data"
)
state_geo = f"{url}/us-states.json"
state_unemployment = f"{url}/US_Unemployment_Oct2012.csv"
state_data = pd.read_csv(state_unemployment)

m = folium.Map(location=[48, -102], zoom_start=3)

c = folium.Choropleth(
    geo_data=state_geo,
    name="choropleth",
    data=state_data,
    columns=["State", "Unemployment"],
    key_on="feature.id",
    fill_color="YlGn",
    fill_opacity=0.7,
    line_opacity=0.2,
    legend_name="Unemployment Rate (%)",
)

for key in c._children:
    if key.startswith('color_map'):
        branca_color_map = c._children[key]
        del(c._children[key])


m.add_child(c)
m.add_child(folium.map.LayerControl())
m.add_child(branca_color_map)
m.add_child(BindColormap(c, branca_color_map))
m