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= to CAS.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

SWAT v1.7.0

Highlights include:

• Add Python 3.8 support
• Improve connection parameter handling (add CAS_URL= connection variable)
• Improve connection protocol auto-detection

To install the SWAT package, you use the pip command as follows::

pip install swat

Or, if you are using Anaconda::

conda install -c sas-institute swat

SWAT v1.6.1

Highlights include:

• Support for pandas v1.0.0

To install the SWAT package, you use the pip command as follows::

pip install swat

Or, if you are using Anaconda::

conda install -c sas-institute swat

SWAT v1.6.0

Highlights include:

• Fix letter-casing in has_action and has_actionset methods
• Remove usage of deprecated ix accessor
• Explicitly specify column and line delimiters and locale in uploaded CSV files
• Fix TKPATH issues in Windows and PPC

To install the SWAT package, you use the pip command as follows::

pip install swat

Or, if you are using Anaconda::

conda install -c sas-institute swat

SWAT v1.5.2

Highlights include:

• Fix issue with nulls in REST parameters
• Add fallback default configuration for SSL
• Add CASTable.get method

To install the SWAT package, you use a command as follows::

pip install python-swat-X.X.X-platform.tar.gz

Where X.X.X is the version number and platform is the platform you are
installing on.