Skip to main content

Helper functions for easy string-based manipulation of dates in python

Project description

yyyy_mm_dd

Build Status

Easy string-based date manipulation library for Python

Documentation

Installation

$ pip install yyyy_mm_dd

Why?

When writing some python code for a quick investigation in a notebook, do you also think it's a lot of boilerplate to work with dates? Do you always have to google the solution and copy it from stackoverflow because you never remember and just want the most quick and easy solution?

If you answered yes, then you are going to love this library. In yyyy_mm_dd you can work with strings directly, no need to convert back and forth, like to add +1 day to a date:

>>> from yyyy_mm_dd import *
>>> move_yyyy_mm_dd("2020-03-14", 1)
'2020-03-15'

There are many operations in the library that you can do with a single functions, no need to think on how to compose them, the most common operations should have a function available, for example the amount of days between two dates:

>>> diff_yyyy_mm_dd("2020-03-14", "2020-03-16")
2

Same operations can be done at various levels, and the name is easy to remember, just using the pattern of the date itself (operation + yyyy_mm, yyyy_mm_dd, yyyy_mm_dd_hh_mm_ss, etc). For example the difference in months between two dates:

>>> diff_yyyy_mm("2020-03", "2020-07")
4
>>> diff_yyyy_mm("2020-03-01", "2020-07-01")
4

Or to add a month:

>>> move_yyyy_mm("2020-03-14", 1)
'2020-04-14'

But not only strings, you can also pass a datetime as argument in case you already have it, and there is no need for any conversion:

>>> import datetime
>>> move_yyyy_mm_dd_hh(datetime.datetime(2020, 3, 14, 5, 0), 1)
datetime.datetime(2020, 3, 14, 6, 0)

Check the documentation to see all functions available, and if there is an operation you regularly need to do which is not there, please open an issue

TODO:

  • Support timezones
  • Make it fully compatible with RFC 3339

Contributing

Any contributions are very welcome. To run locally, install the dependencies:

pip install -r requirements.txt

The tests are inside the docs, to run them simply execute:

python -m doctest yyyy_mm_dd/__init__.py

If you want to check the type hints:

mypy yyyy_mm_dd

If you want to regenerate docs:

pdoc --html -o ./docs yyyy_mm_dd --force

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

yyyy_mm_dd-0.1.2.tar.gz (7.3 kB view details)

Uploaded Source

Built Distribution

yyyy_mm_dd-0.1.2-py3-none-any.whl (6.2 kB view details)

Uploaded Python 3

File details

Details for the file yyyy_mm_dd-0.1.2.tar.gz.

File metadata

  • Download URL: yyyy_mm_dd-0.1.2.tar.gz
  • Upload date:
  • Size: 7.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.5

File hashes

Hashes for yyyy_mm_dd-0.1.2.tar.gz
Algorithm Hash digest
SHA256 24187ae552945233535a5cd28a951023ddffc47f4c7c565510a265af10ee2ee9
MD5 53bde3dd1c30354f9cdfb144d1e03210
BLAKE2b-256 c566d1729a1eb399b9b5aedf7f047f9330fe950285008c423ac38974c99d52f3

See more details on using hashes here.

File details

Details for the file yyyy_mm_dd-0.1.2-py3-none-any.whl.

File metadata

  • Download URL: yyyy_mm_dd-0.1.2-py3-none-any.whl
  • Upload date:
  • Size: 6.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.5

File hashes

Hashes for yyyy_mm_dd-0.1.2-py3-none-any.whl
Algorithm Hash digest
SHA256 1580e7bf860a5b0fc5d479c350e85a0733051d9b6a67379408d2f234ac77d0a8
MD5 957432e132ccd731bf2546f0a805af82
BLAKE2b-256 0d7f08e34d2663bc5b7c001e0c45b934e68e3fff76e91dcae5a862ec7c70d014

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