COVID19 MAP DISTRIBUTION

Total Confirmed Cases and Total Recovered, in a normal MAP and in a HEAT MAP by Coursera Network Project

#importing module
import json
import folium
import requests
import mimetypes
import http.client
import pandas as pd
from folium.plugins import HeatMap
from pandas.io.json import json_normalize

Load the Database

what we're trying to do is

• Access Data via API
• Convert Data to JSON
• Normalize Data

#Access Data via API
conn = http.client.HTTPSConnection("api.covid19api.com") #COVID 19 API
payload = ''
headers = {}
conn.request("GET", "/summary", payload, headers)
res = conn.getresponse()
data = res.read().decode('UTF-8')

covid1=json.loads(data) #loads the Data

df= pd.DataFrame(covid1['Countries']) #normalize the data
df;

covid2 = df.drop(columns =['CountryCode','Slug','Date','Premium'],axis=1) 
#to drop unnecessary columns

Generate Base Map

m = folium.Map(tiles="Stamen Terrain", min_zoom=1.5);

#obtaining Geodata
url = 'https://raw.githubusercontent.com/python-visualization/folium/master/examples/data'
country_shapes = f'{url}/world-countries.json'

Generating Choropleth Map Layer

folium.Choropleth(
    geo_data=country_shapes,
    min_zoom=2,
    name='COVID-19',
    data=covid2,
    columns=['Country', 'TotalConfirmed'],
    key_on='feature.properties.name',
    fill_color='OrRd',
    nan_fill_color='black',
    legend_name='Total Confirmed Covid Cases',
).add_to(m);
m;

Generate Circular Markers

covid2.update(covid2['TotalConfirmed'].map('Total Confirmed:{}'.format))
covid2.update(covid2['TotalRecovered'].map('Total Recovered:{}'.format))

coordinates = pd.read_csv('https://raw.githubusercontent.com/VinitaSilaparasetty/covid-map/master/country-coordinates-world.csv')
coordinates;

covid_final= pd.merge(covid2,coordinates,on='Country')

def plotDot(point):
    folium.CircleMarker(location=[point.latitude, point.longitude],
                        radius=5,
                        weight=2,
                        popup = [point.Country,point.TotalConfirmed,point.TotalRecovered],
                        fill_color='#000000').add_to(m);

Total Confirmed Case & Total Recovered with Circle Marks

covid_final.apply(plotDot, axis = 1)

m.fit_bounds(m.get_bounds())

m

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Generate Base Map - for Heat Map

m1 = folium.Map(tiles='StamenToner', min_zoom=2)

m1;

deaths=covid_final['TotalDeaths'].astype(float)

lat=covid_final['latitude'].astype(float)

lon=covid_final['longitude'].astype(float)

Generating Heat Map Layer

m1.add_child(HeatMap(zip(lat,lon,deaths),radius=0));

Adding Circular Marker into a Heat Map

def plotDot(point):
    folium.CircleMarker(location=[point.latitude, point.longitude],
                        radius=5,
                        weight=2,
                        popup = [point.Country,point.TotalDeaths],
                        fill_color='#000000').add_to(m1)

covid_final.apply(plotDot, axis = 1)

m1.fit_bounds(m1.get_bounds())

m1

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