covid19dh 0.1.8

Unified data hub for a better understanding of COVID-19 https://covid19datahub.io

Python Interface to COVID-19 Data Hub

Python package covid19dh provides access to COVID-19 data from unified data hub.

It is part of COVID-19 Data Hub project.

Setup and usage

Install from pip with

pip install covid19dh

Importing main covid19() function with

from covid19dh import covid19

x = covid19("ITA") # load data

Package is regularly updated. Update with

pip install --upgrade covid19dh

Parametrization

Country

Country specifies an administrative region, that the data are fetched from. This is connected with source data comes from. It can be given as ISO3, ISO2, numeric ISO or country name (case-insensitively).

Fetching data from a particular country is done with

x = covid19("ESP")

List of ISO codes can be found here.

Filter can also specify multiple countries at the same time

x = covid19(["ESP","PT","andorra",250])

Country can be omitted, then whole world data is used.

x = covid19()

Date filter

Date can be specified with datetime.datetime, datetime.date or as a str in format YYYY-mm-dd.

from datetime import datetime

x = covid19("SWE", start = datetime(2020,4,1), end = "2020-05-01")

Level

Levels work the same way as in all the other our data fetchers.

1. Country level
2. State, region or canton level
3. City or municipality level

from datetime import date

x = covid19("USA", level = 2, start = date(2020,5,1))

Cache

Library keeps downloaded data in simple way during runtime. By default, using the cached data is enabled.

Caching can be disabled (e.g. for long running programs) by

x = covid19("FRA", cache=False)

Contribution

Developed by Martin Benes.

The goal of COVID-19 Data Hub is to provide the research community with a unified data hub by collecting worldwide fine-grained case data, merged with exogenous variables helpful for a better understanding of COVID-19.

Join us on GitHub.