Tutorial 5b - Mapas Interativos

Carregando os pacotes

import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns

import json
import ipyleaflet
import os
import requests
from ipywidgets import link, FloatSlider
from branca.colormap import linear

/Users/mauricio/Library/Python/3.8/lib/python/site-packages/urllib3/__init__.py:35: NotOpenSSLWarning:

urllib3 v2 only supports OpenSSL 1.1.1+, currently the 'ssl' module is compiled with 'LibreSSL 2.8.3'. See: https://github.com/urllib3/urllib3/issues/3020

Carregando os dados

def load_data(url, filename, file_type):
    r = requests.get(url)
    with open(filename, 'w') as f:
        f.write(r.content.decode("utf-8"))
    with open(filename, 'r') as f:
        return file_type(f)

geo_json_data = load_data(
    'https://raw.githubusercontent.com/jupyter-widgets/ipyleaflet/master/examples/us-states.json',
    'us-states.json',
     json.load)

unemployment = pd.read_csv('https://raw.githubusercontent.com/jupyter-widgets/ipyleaflet/master/examples/US_Unemployment_Oct2012.csv')

unemployment.head()

	State	Unemployment
0	AL	7.1
1	AK	6.8
2	AZ	8.1
3	AR	7.2
4	CA	10.1

unemployment =  dict(zip(unemployment['State'].tolist(), unemployment['Unemployment'].tolist()))

Fazendo o mapa

layer = ipyleaflet.Choropleth(
    geo_data=geo_json_data,
    choro_data=unemployment,
    colormap=linear.YlOrRd_04,
    border_color='black',
    style={'fillOpacity': 0.8, 'dashArray': '5, 5'})
    
m = ipyleaflet.Map(center = (43,-100), zoom = 4)
m.add(layer)
m