带叶片的Choropleth贴图-python

Question

Im having trouble to do choropleth map for brazil state Im using folium library to do it as follows:

import folium
import json

with open('br-states.json') as json_data:
    d = json.load(json_data)

m = folium.Map(
    location=[-18.826592, -55.212558],
    zoom_start=4,
    tiles='OpenStreetMap')

m.choropleth(
geo_data=d,
name='choropleth',
data=new_data,
columns=['State', 'QTY'],
key_on='feature.id',
fill_color='YlGn',
fill_opacity=0.7,
line_opacity=0.2,
legend_name='Unemployment Rate (%)'
)
folium.LayerControl().add_to(m)

m

My data is called new_data

I dont know if there is some problem with the code or there is problem with my json file called br-state (might be related to the coordinates used by the autor of this file or something else)

I get the map however the map does not turn to choropleth map

Any suggetion will be highly appreciated

Answer 1

I am using this JSON file: https://github.com/datalivre/Conjunto-de-Dados/blob/master/br_states.json Look at the code, it's a bit different from yours. You do not need to convert the JSON file to a dictionary. Here an image with the result that I got. folium br_states

import folium
import pandas as pd


new_data = pd.read_excel('new_data.xlsx')

state_geo = 'br_states.json'
mapa = folium.Map(
    location=[-15.77972, -47.92972],
    zoom_start=3
)

folium.Choropleth(
    geo_data=state_geo,
    name='Estados QTY',
    data=new_data,
    columns=['State','QTY'],
    key_on='feature.id',
    fill_color='YlOrBr',
    fill_opacity=0.7,
    line_opacity=0.1,
    legend_name='Insert legend'
).add_to(mapa)

folium.LayerControl().add_to(mapa)
mapa.save('index.html')
mapa