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.
Installing
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()
print(scraper.fetch())
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)
plt.show()
Sources
US Test Data scraped from; https://www.cdc.gov/coronavirus/2019-ncov/cases-updates/testing-in-us.html World Confirmed/Recovered/Death data from https://github.com/CSSEGISandData/COVID-19
Authors
- Steven Yampolsky
License
This project is licensed under the GNU GENERAL PUBLIC LICENSE - see the LICENSE.md file for details
Metadata
Release files for covid-19-dryampy 0.3.9
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| covid-19-dryampy-0.3.9.tar.gz | 3.9 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| covid_19_dryampy-0.3.9-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 20.8 kB
Release files / covid-19-dryampy-0.3.9.tar.gz
| Download URL | covid-19-dryampy-0.3.9.tar.gz |
|---|---|
| Size | 3.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.1.1 requests-toolbelt/0.9.1 tqdm/4.43.0 CPython/3.6.3
|
Release files / covid_19_dryampy-0.3.9-py3-none-any.whl
| Download URL | covid_19_dryampy-0.3.9-py3-none-any.whl |
|---|---|
| Size | 16.9 kB |
| Tags | Python 3 |
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No |
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twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.1.1 requests-toolbelt/0.9.1 tqdm/4.43.0 CPython/3.6.3
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Security for covid-19-dryampy 0.3.9
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