Skip to main content

PyCOCAP: The Python interface to the COCAP database

Project description

pyCOCAP

COCAP Logo

pyCOCAP is the Python interface to the common COCAP database. You can find the documentation here

Installation

Using the Package Installer for Python PIP, you can install this interface with following command

pip install pycocap

Usage

Once the package is installed it is as easy as this to get the COCAP data for example the reported case numbers for Sweden and the stringency index for the UK.

import pycocap as pyc
cases = pyc.cases('Sweden')
npi = pyc.npi('United Kingdom', 'stringency')

If you want to get multiple NPIs into one DataFrame, you can do following

npis = pyc.npis('Germany', ['school closing', 'dept relief', 'facial coverings'])

Defining the start and end dates of the timeseries can be done with Python's standard date objects

from datetime import date
deaths = pyc.death('Canada', start_date=date(2020, 5, 16), end_date=date(2021, 1, 15))

You can also use this to expand the timeseries and at the same time choose with which value to fill gaps

deaths = pyc.death('Canada', start_date=date(2019, 11, 1), fill_value=0)

Documentation

You can find the documentation here

Requirements

Contact

You can get in touch with me via e-mail or have a look at the source code and open issues there.

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

pycocap-0.8.3.tar.gz (2.1 MB view details)

Uploaded Source

Built Distribution

pycocap-0.8.3-py3-none-any.whl (5.8 kB view details)

Uploaded Python 3

File details

Details for the file pycocap-0.8.3.tar.gz.

File metadata

  • Download URL: pycocap-0.8.3.tar.gz
  • Upload date:
  • Size: 2.1 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.8.16

File hashes

Hashes for pycocap-0.8.3.tar.gz
Algorithm Hash digest
SHA256 916f0ba33f2529e349e5926984f20354920df4a9651ec7bbb7b19d6f5e62037f
MD5 46dd0bcf466f95e6d35a9ab0b0fd6f93
BLAKE2b-256 34da31ab42b52d4e2cb244fa98a1c222ea712d130fdc4f677684a92e9f1c733b

See more details on using hashes here.

File details

Details for the file pycocap-0.8.3-py3-none-any.whl.

File metadata

  • Download URL: pycocap-0.8.3-py3-none-any.whl
  • Upload date:
  • Size: 5.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.8.16

File hashes

Hashes for pycocap-0.8.3-py3-none-any.whl
Algorithm Hash digest
SHA256 10bfb3ffc7362cc4708403ed470347ed12e7884afe6ced3903e155eacde273ce
MD5 adeaf44a69ce8a060049d54d70b25f30
BLAKE2b-256 8b277bb4cd6f35bd28b25757834b51ece69da989fd7588d89fef271e4a1ddd28

See more details on using hashes here.

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