SAS and Python, Sitting in a Tree. Cameron Lawson (Selerity)

Transcription

1 SAS and Python, Sitting in a Tree Cameron Lawson (Selerity)

2 Who Am I? SAS Consultant with Selerity, a silver SAS and AWS Partner. Specialists in cloud based SAS delivery. Close to 20yrs SAS programming, design and delivery experience. Previously with Origin Energy and various Technology companies.

3 About Python Simple yet extremely powerful. Cross Platform Integrates with just about anything. Excellent analytic capability.

4 SAS & Python = Awesome x 2. SAS have been busy in providing Python wrappers and Interfaces in conjunction with other languages. Python Library Python-SWAT SAS_kernel saspy Suitable For SAS Viya Integration with Jupyter Notebooks Interface for SAS 9x

5 How Does it Help Me? You can now leverage the strengths of other languages. SAS and Viya is your analytics and data hub. Does not replace SAS. It expands the scope of SAS.

6 Am I Running Python or SAS? Python is the vehicle. SAS is the engine. Python Programmers can use familiar programming patterns and tools. SAS can augment Python, Python can augment SAS. Viya allows Python to query Big Datasets efficiently.

7 Overview

8 The Python-SWAT Library SAS Scripting Wrapper for Analytics Transfer (SWAT) Built on top of a popular Python programming interface called Pandas. Two flavours, a binary and a REST Service interface. Binary library requires Linux and the numactl package. REST client available for Windows, *nix, OSX etc. It s open source!

9 Installation Installation via standard Python mechanisms pip install Invocation is simple; import swat cas = swat.cas(host=,port=,method= cas user=,password= ) Load actionsets based on your licensing cas.loadactionset('simple')

10 Knowing What s What Documentation! ## To see all available methods cas.help() ## To see help for a specific actionset cas.help(actionset='simple') ## Help for a specific Action cas.help(action='regression')

11 Managing Data demo_csv = ' ct = cas.read_csv( demo_csv, casout=dict( name= PYTHONCARS, caslib= public, promote=true ) ) sastable = cas.castable(name='sascars',caslib='public')

12 Viewing / Querying Data Many of the Pandas Data Frame methods are available tbl.head(),tbl.tail(),tbl.fetch(to=10),tbl.describe() Column Reduction tbl[ Cylinders, Origin ] Grouping tbl.groupby(['origin', 'Cylinders']).summary(subset=['Min', 'Max']) Sorting tbl.sort_values(['msrp']).head() Sub-setting tbl.query( Val > 0 and Val2== foo ).head()

13 The Payoff

14 Viya-bot Use a Web Service created in Python to be the back end of a Slack Bot. Submit commands to Viya

15 Viya-bot Python is the middleware. Runs CAS Actions and returns the results to Slack

16 From Chatbot to Viya Data loaded to Viya and now available to any SAS application or other interface.

17 Exploit in SAS Use the data for VA, Visual Statistics, SAS Studio etc.

18 Further Info SAS Developers The Source Code SAS Viya The Python Perspective Selerity Blog