Skip to main content

COVID-19 data as pandas dataframes

Project description

covid19pandas

This package presents COVID-19 data from Johns Hopkins University in pandas dataframes, to make analysis and visualization easier in a Python environment.

Install

Install the package via pip: pip install covid19pandas

Usage

After importing the package, the get_cases, get_deaths, and get_recovered functions can be called to access the corresponding tables.

Usage demo

Project details


Download files

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

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

covid19pandas-0.1.0-py3-none-any.whl (10.3 kB view details)

Uploaded Python 3

File details

Details for the file covid19pandas-0.1.0-py3-none-any.whl.

File metadata

  • Download URL: covid19pandas-0.1.0-py3-none-any.whl
  • Upload date:
  • Size: 10.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/45.2.0.post20200210 requests-toolbelt/0.9.1 tqdm/4.42.1 CPython/3.7.6

File hashes

Hashes for covid19pandas-0.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 c8b7198cf6fbfd85f63c84539fd7b34cd38d06a7c24b3af370c58ecdc307c520
MD5 701f4d6cbfe8fe2a6e5ec35e4c846d67
BLAKE2b-256 48da050225e7910a518c59f331964ff647418f677f014f80e416a8b29928d716

See more details on using hashes here.

Provenance

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