corona.py

Wow I really want to write a Python script that tells me how many people have died of COVID-19

– nobody ever

How to Use

Throw the file into your project directory and install the dependencies. I'm not putting this up on PiPy because it's only one file and I'm lazy.

Dependencies

This project requires BeautifulSoup 4 (an HTML parsing library) and requests. You can install both using the commands below

$ pip install beautifulsoup4
$ pip install requests

Examples

import corona # ...into your country

global_data = corona.fetch_global_data()
ded = global_data.get_country('usa').deaths
print("oh no", ded, "people have died in the US very sad")

import corona
print(corona.fetch_global_data().world.infected, "people around the world are currently infected with COVID-19")

Documentation

corona.fetch_global_data()

Returns a DiseaseData object

DiseaseData

Properties:

• infected_countries: a list of infected countries by country code
• world: a CountryData object that represents the world cumulatively

Methods:

• get_country(country_code: str)

Returns a CountryData object.

The country code is usually just the name of the country, but lowercase and underscored. For a list of country codes refer to the list below:

china # mainland
s_korea
italy
iran
diamond_princess # A British cruise ship that contracted the virus
japan
france
germany
spain
usa
singapore
hong_kong
switzerland
kuwait
uk
bahrain
thailand
australia
taiwan
malaysia
canada
norway
iraq
sweden
uae # United Arab Emirates
austria
netherlands
india
vietnam
belgium
israel
iceland
lebanon
oman
san_marino
macao
denmark
croatia
algeria
qatar
ecuador
finland
greece
mexico
czechia
pakistan
belarus
portugal
romania
philippines
azerbaijan
georgia
russia
brazil
egypt
estonia
indonesia
ireland
new_zealand
senegal
afghanistan
andorra
armenia
cambodia
dominican_republic
jordan
latvia
lithuania
luxembourg
north_macedonia
monaco
morocco
nepal
nigeria
saudi_arabia
sri_lanka
tunisia
ukraine
argentina
chile
liechtenstein

CountryData

Properties:

• country
• total_cases
• infected
• deaths
• recovered
• critical_cases
• per_mil cases per million
• recent
  • .infected
  • .deaths

Methods:

• death_rate()
• recovery_rate()