V5.100.0

[5.100.0] - 2024-07-10

Added

• Enhancement Per a user request. I've added support in the sd2df* methods for dealing with SAS dates and datetimes that are out of range of Pandas Timestamps (pandas.Timestamp.min, pandas.Timestamp.max). These values will be converted to NaT in the dataframe. The new feature is to specify a Timestamp value (str(Timestamp)) for the high value and/or low values (tsmin=, tsmax=) to use to replace Nat's with in the dataframe. This works for both SAS datetime and date values. For instance, given a SASdata object: sd.to_df(tsmin='1966-01-03 00:00:00.000000', tsmax='1966-01-03 23:59:59.111111')

Changed

• None Nothing changed

Fixed

• None Nothing fixed

Removed

• None Nothing removed

Note

• This is just a note to acknowledge that the minor version jumped from 15 to 100. What's that about!?
  Well, glad you asked ;) This is the 100th release of SASPy, in under its almost 10 years in existence. So, I just
  thought I'd skip a few minor releases to identify the milestone. It's been a privilege to have created and supported
  SASPy this whole time, and to have helped and supported all of our users who use it!
  Tom