Releases: sassoftware/python-swat
SWAT v1.11.0
Highlights include:
- Update TK subsystem
To install the SWAT v1.11.0 package, use the pip
command as follows::
pip install swat
Or, if you are using Anaconda::
conda install -c sas-institute swat
SWAT v1.10.0
Highlights include:
- Add Python 3.10 support
- Update TK subsystem
To install the SWAT v1.10.0 package, use the pip
command as follows::
pip install swat
Or, if you are using Anaconda::
conda install -c sas-institute swat
SWAT v1.9.4-snapshot
(Development snapshot)
SWAT v1.9.3
Highlights include:
- Fix showlabels issue in Viya deployment before version 3.5
To install the SWAT v1.9.3 package, use the pip
command as follows::
pip install swat
Or, if you are using Anaconda::
conda install -c sas-institute swat
SWAT v1.9.2
Highlights include:
- Add authorization code as authentication method
To install the SWAT v1.9.2 package, use the pip
command as follows::
pip install swat
Or, if you are using Anaconda::
conda install -c sas-institute swat
SWAT v1.9.1
Highlights include:
- Add Python 3.9 support
To install the SWAT v1.9.1 package, use the pip
command as follows::
pip install swat
Or, if you are using Anaconda::
conda install -c sas-institute swat
SWAT v1.9.0
Highlights include:
- Add additional plotting method parameters for correct data fetches
- Add
date_format=
toCAS.upload
method for formatting CSV exported data to a specific format - Update TK subsystem
To install the SWAT v1.9.0 package, use the pip
command as follows::
pip install swat
Or, if you are using Anaconda::
conda install -c sas-institute swat
SWAT v1.8.1
Highlights include:
- Fix compatibility with pandas 1.2 DataFrame rendering
- Fix TKECERT error by locating libcrypto automatically
To install the SWAT v1.8.1 package, use the pip
command as follows::
pip install swat
Or, if you are using Anaconda::
conda install -c sas-institute swat
SWAT v1.8.0
Highlights include:
- Use ssl module's CA list as default
- Improve initial connection performance
- Fix OAuth authentication in REST connections
- Fix log truncation with messages >1000 characters
To install the SWAT v1.8.0 package, use the pip
command as follows::
pip install swat
Or, if you are using Anaconda::
conda install -c sas-institute swat
SWAT v1.7.1
Highlights include:
- Add ability to apply SAS formats to columns in a
SASDataFrame
- Support timezones in data uploaded and downloaded from CAS tables
- Fix issue with TK path on Windows when using flask
To install the SWAT v1.7.1 package, use the pip
command as follows::
pip install swat
Or, if you are using Anaconda::
conda install -c sas-institute swat