covidmx

Python API to get information about COVID-19 in México.

Requirements

python>=3.7

How to install

pip install covidmx

How to use

Direncción General de Epidemiología

The mexican Dirección General de Epidemiología has released open data about COVID-19 in México. This source contains information at the individual level such as gender, municipality and health status (smoker, obesity, etc). The package covidmx now can handle this source as default. Some variables are encoded as integers and the source also includes a data dictionary with all relevant information. When you pass clean=True (default option) returns the decoded data. You can also have access to the catalogue using return_catalogo=True and to the description of each one of the variables with return_descripcion=True. When you use some of this parameters, the API returns a tuple.

from covidmx import CovidMX

covid_dge_data = CovidMX().get_data()
raw_dge_data = CovidMX(clean=False).get_data()
covid_dge_data, catalogo_data = CovidMX(return_catalogo=True).get_data()
covid_dge_data, descripcion_data = CovidMX(return_descripcion=True).get_data()
covid_dge_data, catalogo_data, descripcion_data = CovidMX(return_catalogo=True, return_descripcion=True).get_data()

Serendipia

Serendipia publishes daily information of the mexican Secretaría de Salud about covid in open format (.csv). This api downloads this data easily, making it useful for task automation.

from covidmx import CovidMX

latest_published_data = CovidMX(source='Serendipia').get_data()

By default CovidMX instances a Serendipia class, searches the latest published data for both confirmed and suspects individuals and finally clean the data. Nevertheless, a more specific search can be conducted (see docs for details).

raw_data = CovidMX(clean=False).get_data()
confirmed = CovidMX(kind="confirmed").get_data()
suspects = CovidMX(kind="suspects").get_data()
particular_published_date = CovidMX(date='2020-04-10', date_format='%Y-%m-%d').get_data()