Skip to main content

Epidemiological weeks based on the CDC (MMWR) and ISO week numbering systems.

Project description

A Python package to calculate epidemiological weeks using the CDC (MMWR) and ISO week numbering systems.

Build Status Coverage Status Docs Status Python version support PyPI Package version License

Features

  • Support for both the CDC (MMWR) and ISO week numbering systems.

  • Accurate and tested calculations.

  • Intuitive, clean, and easy-to-use interface.

  • Calculation of the start and end dates of weeks.

  • Iteration of year’s weeks or week’s dates.

  • Rich comparison between weeks.

  • Logical operations for weeks (addition, subtraction and containment).

  • Validation of input data.

  • Works on Python 3.6+ with zero dependencies.

  • Thoroughly tested on all supported Python versions.

Installation

$ pip install -U epiweeks

Basic Usage

from epiweeks import Week, Year

week = Week(2019, 1)
print(week.enddate())
# 2019-01-05

for week in Year(2019).iterweeks():
    print(week.enddate())
# 2019-01-05
# 2019-01-12
# ...
# 2019-12-21
# 2019-12-28

Online Tool

The following is a simple online tool that was developed to calculate epidemiological weeks (CDC system only) using the latest version of this package:

https://www.dralshehri.com/epiweeks/

Documentation

Please see https://epiweeks.readthedocs.io/ for full documentation of this package, including overview, more usage examples and API reference.

Contributing

Contributions are welcome! See CONTRIBUTING.rst for more info.

Authors

The main author is Mohammed Alshehri — @dralshehri.

License

This package is distributed under an MIT license. See LICENSE.

Change Log

2.1.2

  • Improved exception messages by including the type or value used.

  • Improved PyPI packaging by removing unnecessary files.

  • Updated related tests and documentations.

2.1.1

  • Fixed some typos.

  • Improved documentation.

2.1.0

  • Changed the parameter method, which sets how the weeks are numbered, to system for better clarity and intuitive usage.

  • Updated documentation and unit tests.

  • Other minor fixes and enhancements.

2.0.0

  • Dropped support for Python 3.5.

  • Added fromstring() classmethod to allow constructing the Week object from a formatted string, for example ‘2019W08’ or ‘201908’.

  • Added cdcformat() method to return a formatted string like the one used by US CDC for epi weeks, for example for week 8 of 2019 it returns ‘201908’.

  • Added daydate() method to return the date of specific weekday for a week.

  • Changed the optional value ‘WHO’ of the parameter method to ‘ISO’.

  • Changed the fromdate() classmethod of Week object to accept a date object as an argument instead of year, month, and day.

  • Made the Week and Year objects hashable.

  • Improved rich comparison methods.

  • Improved input data validation.

  • Updated and improved documentation examples.

  • Updated unit tests.

  • Other minor fixes and enhancements.

1.0.0

  • First release.

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

epiweeks-2.1.2.tar.gz (16.8 kB view details)

Uploaded Source

Built Distribution

epiweeks-2.1.2-py3-none-any.whl (6.3 kB view details)

Uploaded Python 3

File details

Details for the file epiweeks-2.1.2.tar.gz.

File metadata

  • Download URL: epiweeks-2.1.2.tar.gz
  • Upload date:
  • Size: 16.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.4.0 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.7.7

File hashes

Hashes for epiweeks-2.1.2.tar.gz
Algorithm Hash digest
SHA256 bc33d1942fb0b21fcc613501f9eaa18499b6a3ca2a76f49df81c9b26563d7a3f
MD5 f6494e2beb7df8fc21a7ea5bc4913de7
BLAKE2b-256 4b2374e129a1df7467df64a8ff35297c21e0e405eaeeb7fb2d0e2a8f9ce45378

See more details on using hashes here.

File details

Details for the file epiweeks-2.1.2-py3-none-any.whl.

File metadata

  • Download URL: epiweeks-2.1.2-py3-none-any.whl
  • Upload date:
  • Size: 6.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.4.0 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.7.7

File hashes

Hashes for epiweeks-2.1.2-py3-none-any.whl
Algorithm Hash digest
SHA256 69e736b71d0003320246e64c3f4cccec647c223e73772cf3e5d8f6e03886b04c
MD5 30df2d4dc453fe63c688cd9aa012c135
BLAKE2b-256 77538e931dff428c7a4fdeb9ec7b4de3a41f60fe8ef1cb842898de832e051c13

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