Skip to main content

packages used to throw around covid-19 data.

Project description

covid_19 Data Packages

An assortment of Data Scraping packages from publicly available git repos and website scrapings

Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system.


This package is hosted on Pypi

python3 -m pip install covid-19-dryampy

Example Scripts

from covid_19.us_tests_cdc import us_tests_cdc

scraper = us_tests_cdc()

or something a bit more complex;

from covid_19.csse_data import csse_retrieve
from covid_19.us_tests_cdc import us_tests_cdc
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt

[data, dim_loc, dim_metric] = csse_retrieve().fetch()
test_dat = us_tests_cdc().fetch()

US_ids = dim_loc[dim_loc['Country/Region'] == 'US'].index.tolist()
US_data = data[data['loc_id'].isin(US_ids)]
US_case_data = US_data[US_data['metric_id'] == 0]
US_conf_cases = US_case_data[['counts', 'date']].groupby(['date']).agg(['sum'])
US_conf_cases.columns = ['total_counts']
US_conf_cases['daily_counts'] = np.gradient(US_conf_cases['total_counts'])

US_tests = test_dat[test_dat['status'] == 'complete']
US_tests['test_add'] = US_tests['cdc'] + US_tests['other']
US_tests = US_tests[['date', 'test_add']].groupby(['date']).agg(['sum'])
US_tests.columns = ['daily_counts']
US_tests['total_counts'] = US_tests['daily_counts'].cumsum()

final = US_conf_cases.join(US_tests, lsuffix='_cases', rsuffix='_tests')

ax = plt.gca()
plt.title('US tests and confirmed cases over time')

final2 = final.reset_index()
#final2.plot(kind='line',x='date',y='total_counts_tests', ax=ax, logy=True)
#final2.plot(kind='line',x='date',y='total_counts_cases', color='red', ax=ax, logy=True)
final2.plot(kind='line',x='date',y='total_counts_tests', color='blue', ax=ax)
final2.plot(kind='line',x='date',y='total_counts_cases', color='red', ax=ax)

Image description


US Test Data scraped from; World Confirmed/Recovered/Death data from


  • Steven Yampolsky


This project is licensed under the GNU GENERAL PUBLIC LICENSE - see the file for details

Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

covid-19-dryampy-0.3.9.tar.gz (3.9 kB view hashes)

Uploaded Source

Built Distribution

covid_19_dryampy-0.3.9-py3-none-any.whl (16.9 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page