Unified data hub for a better understanding of COVID-19 https://covid19datahub.io
Project description
Python Interface to COVID-19 Data Hub
Python package covid19dh simplifies fetching COVID-19 Data Hub data into Python.
Setup and usage
Install 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.
- Country level
- State, region or canton level
- 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.
Project details
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