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  1. DZone
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  4. The Datefinder Package in Python

The Datefinder Package in Python

A quick tutorial on using the datefinder package to take any string with dates in it and transform them into a list of Python datetime objects.

Mike Driscoll user avatar by
Mike Driscoll
·
Feb. 09, 16 · Tutorial
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Earlier this week, I came across another fun package called datefinder. The idea behind this package is that it can take any string with dates in it and transform them into a list of Python datetime objects. I would have loved this package at my old job where I did a lot of text file and database query parsing as there were many a time when finding the date and getting it into a format I could easily use was quite the nuisance.

Anyway, to install this handy package all you need to do is this: pip install datefinder

I should note that when I ran this, it ended up also installing the following packages:

  • PyYAML-3.11
  • dateparser-0.3.2
  • jdatetime-1.7.2
  • python-dateutil-2.4.2
  • pytz-2015.7
  • regex-2016.1.10
  • six-1.10.0
  • umalqurra-0.2

Because of all this extra stuff, you might want to install this package into a virtualenv first. Let’s take a look at some code. Here’s a quick demo I tried:

>>> import datefinder
>>> data = '''Your appointment is on July 14th, 2016. Your bill is due 05/05/2016'''
>>> matches = datefinder.find_dates(data)
>>> for match in matches:
... print(match)
... 
2016-07-14 00:00:00
2016-05-05 00:00:00

As you can see, it worked quite well with these two common date formats. Another format that I used to have to support was the fairly typical ISO 8601 date format. Let’s see how datefinder behaves with that.

>>> data = 'Your report is due: 2016-02-04T20:16:26+00:00'
>>> matches = datefinder.find_dates(x)
>>> for i in matches: 
...     print(i)
... 
2016-02-04 00:00:00
2016-02-04 20:16:26

Interestingly, this particular version of the ISO 8601 format causes datefinder to return two matches. The first is just the date while the second has both the date and the time. Anyway, hopefully you’ll find this package useful in your projects. Have fun!

Python (language)

Published at DZone with permission of Mike Driscoll, DZone MVB. See the original article here.

Opinions expressed by DZone contributors are their own.

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  • How To Use ChatGPT With Python
  • The Power of Visualization in Exploratory Data Analysis (EDA)
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