From 390f1f27b47db8386e06b42bef2275ead18f53a2 Mon Sep 17 00:00:00 2001 From: Tom Weber Date: Wed, 10 Jul 2024 13:54:18 -0400 Subject: [PATCH] update changelog for new milestone release --- CHANGELOG.md | 9 ++++++++- 1 file changed, 8 insertions(+), 1 deletion(-) diff --git a/CHANGELOG.md b/CHANGELOG.md index 241a65c..8f11486 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -7,7 +7,7 @@ ### 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 Pandats Timestamps (pandas.Timestamp.min, pandas.Timestamp.max). These values will be converted to NaT +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') @@ -25,6 +25,13 @@ For instance, given a SASdata object: sd.to_df(tsmin='1966-01-03 00:00:00.000000 - `None` Nothing removed +### Note + +- This is just a note to acknowledge that the minor version jumped from 15 to 100. What 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 ## [5.15.0] - 2024-06-27