covid19-us 1.0.3

Overview

This package aims to provide a streamlined way to download historical covid data from the United States. We support the historical data sliced by state, county and zip code through three easy-to-use APIs: download_by_state, download_by_county and download_by_zip_code.

Note that for most input variables, we support either a string or a list. For example, ‘zip_code_list’ can be either 38120 or [‘38120’, ‘02472’]. If it’s the latter case, two result sets will be concatenated and returned as a pandas dataframe.

Free software: MIT license

Features

1. Download data by state in the United States

   download_by_state() is a function to download daily data from a given state. An example is illustrated as follows. Note that the following functions typically can accept both list type or string type. In other words, [‘SC’] and SC can be both understood as South Carolina correctly.

from covid19_us import download_by_state
sc_three_days = download_by_state(state='SC', dates=['2020-12-31', '2021-01-01', '2021-01-02'])
sc_three_days[['state', 'date', 'cases', 'deaths']]

2. Download data by county in the United States

   download_by_county() is a function to download daily data from a given county or counties. An example is illustrated as follows. We support both county name and county FIPS, a unique identifier.

from covid19_us import download_by_county
from pandas import date_range
richland_2020 = download_by_county(states='SC', counties='Richland', dates=date_range('2021-02-10', '2021-02-15'))

3. download data by zip code in the united states

   download_by_zip_code() is function to download daily data from a given zip code. Again, this is not exactly count by zip code, but the county total where the zip code resides in.

from covid19_us import download_by_zip_code
tn_new_year = download_by_zip_code(zip_code_list=['38120'], dates=['2021-01-01', '2021-01-02', '2021-01-03'])

Credits

• The data source is from the New York Times. The author would also like to express his gratitude for the agency’s effort to achieve outstanding journalism.