Unsure how to use colormap with Folium marker plot

Question

I have a dataframe with latitude, longitude, and power percentage. I want to do something very simple but not sure how: apply a colormap to color the data points based on their percentage. So 90% is red and 100% is blue. I have created both a successful map and colormap, but not sure how to proceed next.

import folium
import pandas as pd
import folium.plugins

import branca
import branca.colormap as cm

data = [
    [33.823400, -118.12194, 99.23],
    [33.823500, -118.12294, 95.23],
    [33.823600, -118.12394, 91.23],
    [33.823700, -118.12494, 90.00]
]

df = pd.DataFrame(data, columns=['latitude','longitude','power'])

x_start = (df['latitude'].max() + df['latitude'].min()) / 2
y_start = (df['longitude'].max() + df['longitude'].min()) / 2
start_coord = (x_start, y_start)

map = folium.Map(location=start_coord, zoom_start=12)

lat = list(df.latitude)
lon = list(df.longitude)

for loc in zip(lat, lon):
    folium.Circle(
        location=loc,
        radius=10,
        #fill=True,
        #color='blue',
        #fill_opacity=0.7
    ).add_to(map)

display(map)

colormap = cm.LinearColormap(colors=['red','lightblue'], index=[90,100],vmin=90,vmax=100)
colormap

Answer 1

I'm in a rush, but this is how I've done it in the past. Create the CM and then call it like so colormap(.9)

import folium
import pandas as pd
import folium.plugins

import branca
import branca.colormap as cm

data = [
    [33.823400, -118.12194, 99.23],
    [33.823500, -118.12294, 95.23],
    [33.823600, -118.12394, 91.23],
    [33.823700, -118.12494, 90.00]
]

df = pd.DataFrame(data, columns=['latitude','longitude','power'])

x_start = (df['latitude'].max() + df['latitude'].min()) / 2
y_start = (df['longitude'].max() + df['longitude'].min()) / 2
start_coord = (x_start, y_start)


colormap = cm.LinearColormap(colors=['red','lightblue'], index=[90,100],vmin=90,vmax=100)

map = folium.Map(location=start_coord, zoom_start=12)


lat = list(df.latitude)
lon = list(df.longitude)
pow = list(df.power)


for loc, p in zip(zip(lat, lon), pow):
    folium.Circle(
        location=loc,
        radius=10,
        fill=True,
        color=colormap(p),
        #fill_opacity=0.7
    ).add_to(map)

map.add_child(colormap)

display(map)