Reference: Other Functionality

Parsing data sources for COVID-19

Currently, two simple parsers are implemented to collect United States data. More parsers can be added straightforwardly by subclassing pydemic.data.DataParser.

pydemic.data.united_states.covid_tracking(region=None)

Returns state-level data as collected by the COVID Tracking Project.

Parameters

region – The state whose data shall be returned. May be specified by abbreviation or by full name. Defaults to None, in which all data (grouped by state) is returned.

Returns

A pandas.DataFrame.

pydemic.data.united_states.nyt(region=None)

Returns state-level COVID-19 data as collected by the New York Times.

Parameters

region – The state whose data shall be returned. May be specified by abbreviation or by full name. Defaults to None, in which all data (grouped by state) is returned.

Returns

A pandas.DataFrame.

pydemic.data.united_states.get_population(region=None)

Parameters

region – The region whose shall be returned. May be specified by abbreviation or by full name. Defaults to None, in which case the entire population of the United States is returned.

Returns

The population of region.

pydemic.data.united_states.get_age_distribution(region=None)

Returns the age distribution, stratified into the bins \([0, 10)\), \([10, 20)\), …, \([70, 80)\), and \([80, \inf)\).

Parameters

region – The region whose shall be returned. May be specified by abbreviation or by full name. Currently, this argument is ignored and the aggregated age distribution of the United States is returned.

Returns

The United States age distribution (a numpy.ndarray).