#QuarantineDaysOfCode - D19 - Inserindo os dados de casos de covid por estado acessando a API
comentada em 16/04/2020 23:45

#encoding: utf-8
from bs4 import BeautifulSoup
import unidecode
import requests
import pandas as pd
import folium
from geopy.geocoders import Nominatim
import math  
    
request = requests.get('https://api.covid19.finspect.me/brcovid19/map')
df=pd.DataFrame(request.json())
address = 'Brazil'

request1 = requests.get('https://api.covid19.finspect.me/brcovid19/all')
df1=pd.DataFrame(request1.json())

geolocator = Nominatim(user_agent="CovidBrazil")
location = geolocator.geocode(address)
latitude = location.latitude
longitude = location.longitude
 
# create map of New York using latitude and longitude values
map_Covid = folium.Map(location=[latitude, longitude], zoom_start=4)

df["lat"] = pd.to_numeric(df["lat"])
df["lng"] = pd.to_numeric(df["lng"])   
df_describe=pd.DataFrame(df['qtd_confirmation'].describe())
url = 'https://raw.githubusercontent.com/codeforamerica/click_that_hood/master/public/data'
state_geo = f'{url}/brazil-states.geojson'

# create a plain world map
#world_map = folium.Map(location=[latitude, longitude], zoom_start=4)
# generate choropleth map using the total immigration of each country to Canada from 1980 to 2013
map_Covid.choropleth(
    geo_data=state_geo,
    data=df,
    columns=['name', 'qtd_confirmation'],
    key_on='feature.properties.name',
    fill_color='YlOrRd', 
    fill_opacity=0.7, 
    line_opacity=0.2,
    threshold_scale=[df['qtd_confirmation'].min(),df['qtd_confirmation'].max()/16,df['qtd_confirmation'].max()/8, df['qtd_confirmation'].max()/4, df['qtd_confirmation'].max()/2, df['qtd_confirmation'].max()+1],
    legend_name='Numeros de casos'
)


# add pop-up text to each marker on the map
latitudes = df.lat
longitudes = df.lng
labels = df["qtd_confirmation"].astype(str) + ", " + df['name'].str.normalize('NFKD').str.encode('ascii', errors='ignore').str.decode('utf-8')


for lat, lng, label in zip(latitudes, longitudes, labels):
    folium.Marker([lat, lng], popup=label).add_to(map_Covid)    
# display map
map_Covid