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.

SWAT v1.5.1

Highlights include:

• Fix Authinfo matching when using base URLs in REST interface
• Fix compatibility with pandas 0.24
• Fix blob parameters in REST interface
• Add CASTable.last_modified_date, CASTable.last_accessed_date, and CASTable.created_date properties
• Add reverse operator methods to CASColumn

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.

SWAT v1.5.0

Highlights include:

• Windows support for binary CAS protocol
• Added with_params method to CASTable to create one-off parameter object
• Set appropriate column data types when uploading a DataFrame

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.

SWAT v1.4.0

Highlights include:

• Automatic CAS table creation when large number of By groups are generated in some DataFrame methods
• Debugging options for REST interface
• Python 3.7 support

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.

SWAT v1.3.1

Highlights include:

• Increase compatibility with older and newer versions of pandas
• Automatically convert columns with SAS date/time formats to Python date/time objects
• Improve CASTable.merge algorithm
• Fix autocompletion on CAS and CASTable objects

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.