covid19-data 1.0.0

A fast, powerful, and flexible way to get up to date COVID-19 data for any major city, state, country, and total world wide data

COVID19-Data

Overview

covid19-data is a powerful and easy to use Python client for getting COVID-19 data (see sources below for more information on how data is obtained)

• Uses a fast method of getting data
  • Does not rely on scraping sites, parsing files, or getting (old) data from a repository, so you do not depend on the repository being updated to get up to date data
• Very fast and responsive
  • The client only gets the data once, and parses it into a search friendly format in the backend, so once the data is loaded ( ~ 1 second ), data for the World or any Country/State can be retrieved instantly
• User friendly and simple to implement into your application
• Very flexible and will return the data in multiple forms (read documentation section for more info)
  • Can return a object with the data as attributes
  • Can return a JSON document
• Super simplistic and lightweight and does not rely on any external python packages

Installing

covid19-data can be installed with pip:

$ pip install covid19-data

Alternatively, you can grab the latest source code from GitHub:

$ git clone git://github.com/binarynightowl/covid19_python
$ python setup.py install

Documentation

Usage

There are two ways of getting data with covid19-data

1. As an object with attributes of COVID data
   • Get the data by name

     import covid19_data
     
     # example of how to get data by name
     # .dataByName([string of item to find: any state, country, or total amount (do not use spaces EX: NewYork)])
     # object has three useful attributes: .deaths, .cases (.confirmed also works), and .recovered
     
     total = covid19_data.dataByName("Total")    # create an object for our total data
     china = covid19_data.dataByName("China")
     US = covid19_data.dataByName("US")
     new_york = covid19_data.dataByName("NewYork")
     print(total.deaths, china.recovered, US.cases)
     

     This should print something similar to:

     22184 74181 69246
     

   • Get the data by abbreviation

     import covid19_data        
     
     # example of how to get data by abbreviated name
     # .dataByNameShort([two letter string of item you want to find, can be any state])
     # object has three useful attributes: .deaths, .cases (.confirmed also works), and .recovered
     
     texas = covid19_data.dataByNameShort("TX")    # create an object for our total data
     california = covid19_data.dataByNameShort("CA")
     new_york = covid19_data.dataByNameShort("NY")
     print(texas.cases, california.deaths, new_york.cases)
     

     This should print something similar to:

     1353 67 33033
     

2. As a JSON document
   • Get the json by name

     import covid19_data
     
     # example of how to get json by name
     # .jsonByName([string of item you want to find, can be any state, country, or total amount (do not use spaces EX: NewYork)])
     # object has three useful attributes: .deaths, .cases (.confirmed also works), and .recovered
     
     total = covid19_data.jsonByName("Total")    # create an object for our total data
     china = covid19_data.jsonByName("China")
     US = covid19_data.jsonByName("US")
     new_york = covid19_data.jsonByName("NewYork")
     print(total, china, US, new_york)
     

     This should print something similar to:

     {'Confirmed': 492603, 'Deaths': 22184, 'Recovered': 119918}
     {'Confirmed': 81782, 'Deaths': 3291, 'Recovered': 74181, 'Active': 4310}
     {'Confirmed': 69246, 'Deaths': 1046, 'Recovered': 619, 'Active': 0}
     {'Confirmed': 33033, 'Deaths': 366, 'Recovered': 0, 'Active': 0}
     

   • Get the json by abbreviation

     import covid19_data
     
     # example of how to get json by abbreviated name
     # .jsonByNameShort([two letter string of item you want to find, can be any state])
     # object has three useful attributes: .deaths, .cases (.confirmed also works), and .recovered
     
     texas = covid19_data.jsonByNameShort("TX")    # create an object for our total data
     california = covid19_data.jsonByNameShort("CA")
     new_york = covid19_data.jsonByNameShort("NY")
     print(texas, california, new_york)
     

     This should print something similar to:

     {'Confirmed': 1353, 'Deaths': 17, 'Recovered': 0, 'Active': 0}
     {'Confirmed': 3172, 'Deaths': 67, 'Recovered': 0, 'Active': 0}
     {'Confirmed': 33033, 'Deaths': 366, 'Recovered': 0, 'Active': 0}
     

Sources

This project utilizes John Hopkins University's ArcGIS data layer to get its data. Please follow their terms of service and licensing when using their data in your application. The data layer pulls data from the following sources:

• World Health Organization (WHO)
• DXY.cn. Pneumonia. 2020.
• BNO News
• National Health Commission of the People’s Republic of China (NHC)
• China CDC (CCDC)
• Hong Kong Department of Health
• Macau Government
• Taiwan CDC
• US CDC
• Government of Canada
• Australia Government Department of Health
• European Centre for Disease Prevention and Control (ECDC)
• Ministry of Health Singapore (MOH)
• Italy Ministry of Health