To help you get started, we've collected the most common ways that saspy is being used within popular public projects.

sassoftware / sasoptpy / tests / examples / test_examples_local.py View on Github

def setUpClass(cls):
        cls.conn = None
        try:
            cls.conn = None
            if os.name == 'nt':
                cls.conn = saspy.SASsession(cfgname='winlocal')
            else:
                cfg_file = os.path.join(current_dir, 'saspy_config.py')
                cls.conn = saspy.SASsession(cfgfile=cfg_file)
            print('Connected to SAS')
            cls.conn.upload_frame = TestExamplesLocal.sas_upload
        except TypeError:
            raise unittest.SkipTest('Environment variable may not be defined')

View more ways to use saspy

Overview

This package provides interfaces between Python and SAS. This package enables a Python developer to create mixed Python/SAS workflows to leverage the powers of both SAS and Python, by connecting a Python process to any of a variety of SAS deployments, where it will run SAS code. The SAS code is generated by the SASPy object and methods or explicitly user written. Results from SAS are returned as text, HTML5 documents (via SAS ODS), or as Pandas Data Frames. This package supports running analytics and returning the resulting graphics and result data to the Python process. It can convert data representations between SAS Data Sets and Pandas Data Frames.

This package has multiple access methods which allow it to connect to local or remote Linux SAS, IOM SAS on Windows, Linux (Including Grid Manager), or MVS, and local PC SAS. It can run within various Notebooks platforms, or IDE's/UI's or in interactive line mode Python or in Python batch scripts.

It is expected that the user community can, and will, contribute enhancements.

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Prerequisites

• Python3.x or above
• SAS 9.4 or above
• SAS Viya 3 or above

Connecting offering

• Linux SAS: local or remote, including Grid Manager
• Windows SAS: local or remote
• MVS SAS: remote
• Jupyter, Databricks and/or Zeppelin Notebooks
• Interactive Line mode, Python IDE's or other UI's
• Batch Python scripts

Installation

This package can be installed via pip or Conda. This will pull down the latest PyPI package and install it.

pip install saspy

However, if that's too easy, you can also download a specific release from SASpy project releases page, or just clone the repo and and instll from that. To install a given release, use the following, where the X.X.X is the release version you want.

pip install https://github.com/sassoftware/saspy/archive/vX.X.X.tar.gz

Getting Started

All of the doc, including install and configuration information can be found at sassoftware.github.io/saspy.

Also, example Notebooks and use cases can be found at sassoftware/saspy-examples.

Contributing

The Contributing file explains the rules and conventions to follow while Contributing to this project. It also contains the Contributor Agreement instructions.

Licensing

Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at LICENSE.txt

Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.

Additional Resources

• Python Website
• SASPy Documentation.
• SASPy Examples