Date parsing and normalization utilities for Python.
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Date parsing and normalization utilities based on FlexiDate.

To parse dates use parse, e.g.::

from flexidate import parse
parse('1890') -> FlexiDate(year=u'1890')
parse('1890?') -> FlexiDate(year=u'1890', qualifier='Uncertainty: 1890?')

Once you have a FlexiDate you can get access to attributes (strings of course ...)::

from flexidate import parse
fd = parse('Jan 1890')
fd.year # u'1890'
fd.month # u'01'

Note how all fields are retained as strings -- this is the only way to not lose information.

However, it's easy to convert to other forms::

fd.as_float() # 1890
fd.as_datetime() # datetime(1890,01,01)

Version 1.2 adds the capability for time:

To parse times:

from flexidate import parse
parse('2016-06-01 10') -> FlexiDate(year=u'2016', month=u'01', day=u'06', hour=u'10')

Supports hour, minute, second, and microsecond


FlexiDate is focused on supporting:

  1. Dates outside of Python (or DB) supported period (esp. dates < 0 AD)
  2. Imprecise dates (c.1860, 18??, fl. 1534, etc)
  3. Normalization of dates to machine processable versions
  4. Sortable in the database (in correct date order)

Flexidate builds on the excellent dateutil, though it can be used without it.

For more information see this blog post.


Tests can be found in

Patches are welcome - please include additional tests where relevant.