timefhuman | Convert natural language date-like strings -- dates , date | Date Time Utils library

by alvinwan Python Version: 0.0.5 License: Apache-2.0

X-Ray Key Features Code Snippets(3)Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | timefhuman Summary

timefhuman is a Python library typically used in Utilities, Date Time Utils applications. timefhuman has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install timefhuman' or download it from GitHub, PyPI.

Convert human-readable, date-like strings written in natural language to Python objects. Describe specific datetimes or ranges of datetimes. Supports Python3+. To start, describe days of the week or times of day in the vernacular. Use any human-readable format with a time range, choices of times, or choices of time ranges. Parse lists of dates and times with more complex relationships. Use the vernacular to describe ranges or days.

Support

Quality

Security

License

Reuse

Support

timefhuman has a low active ecosystem.

It has 68 star(s) with 11 fork(s). There are 3 watchers for this library.

It had no major release in the last 12 months.

There are 11 open issues and 4 have been closed. On average issues are closed in 23 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of timefhuman is 0.0.5

Quality

timefhuman has no bugs reported.

Security

timefhuman has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

timefhuman is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

timefhuman releases are available to install and integrate.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

Top functions reviewed by kandi - BETA

kandi has reviewed timefhuman and discovered the below as its top functions. This is intended to give you an instant insight into timefhuman implemented functionality, and help decide if they suit your requirements.

Convert a human readable string into a human readable time
Split a string into a list of tokens
Convert tokens to tokens
Convert day of week to day of week
Share two DayToken objects
Share property with other
Combine two time ranges

Get all kandi verified functions for this library.

timefhuman Key Features

No Key Features are available at this moment for timefhuman.

timefhuman Examples and Code Snippets

timefhuman

Python

Lines of Code : 22

License : Permissive (Apache-2.0)

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>>> from timefhuman import timefhuman
>>> timefhuman('upcoming Monday noon')
datetime.datetime(2018, 8, 6, 12, 0)

>>> timefhuman('7/17 3-4 PM')
(datetime.datetime(2018, 7, 17, 15, 0), datetime.datetime(2018, 7, 17, 16, 0))

Usage

Python

Lines of Code : 16

License : Permissive (Apache-2.0)

Copy

>>> import datetime
>>> now = datetime.datetime(2018, 8, 4, 0, 0)
>>> timefhuman('upcoming Monday noon', now=now)
datetime.datetime(2018, 8, 6, 12, 0)

>>> from timefhuman import timefhuman
>>> now = datet

Why

Python

Lines of Code : 9

License : Permissive (Apache-2.0)

Copy

>>> import dateparser
>>> dateparser.parse("7/7/18 3 p.m.")  # yay!
datetime.datetime(2018, 7, 7, 15, 0)
>>> dateparser.parse("7/7/18 at 3")  # :(
>>> dateparser.parse("7/17 12 PM")  # yay!
datetime.datetime(2018,

Community Discussions

Trending Discussions on timefhuman

converting a random string into date in python raises REdefinition of group name 'm'

QUESTION

converting a random string into date in python raises REdefinition of group name 'm'

Asked 2019-Dec-04 at 16:04

I have been trying to parse some very old data to structure and store them in a database. I have some random strings that contain dates.

YEAR:1999 DATE:09/1999

DATE:09/1996

DATE:1993

YEAR:2006 DATE:15/05/06

YEAR:2019 DATE:JANUARY 3, 2019

YEAR:2019 DATE:FEB. 14, 2019

YEAR:2019 DATE: 30/06/2019, JUNE 24, 2019

as you can see, there's a plethora of possibilities. I have tried with datetime, dateutil, dateparser and timefhuman to quickly get a date from this. None, of them had a desired output. Most success I have had is with dateparser.

...

ANSWER

Answered 2019-Dec-04 at 16:04

This is a very verbose parser for the format(s) you provided. Output is given as a list of [year, month, day], where each entry is only present if found in the date.

Source https://stackoverflow.com/questions/59173175

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install timefhuman

Install with pip using. Optionally, clone the repository and run python setup.py install.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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