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saspy_quickstart_session_data_manipulation_and_retrieval.py

python

This quickstart demonstrates how to establish a connection to a SAS session, perfo

15d ago29 linessassoftware.github.io
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saspy_quickstart_session_data_manipulation_and_retrieval.py
1import saspy
2
3# Start a SAS session
4# Note: This assumes you have already configured your sascfg_personal.py file
5sas = saspy.SASsession()
6
7# Create a SAS dataset from a Python dictionary or list
8df = {'col1': [1, 2, 3, 4], 'col2': [10, 20, 30, 40]}
9sd = sas.df2sd(df, table='test_data')
10
11# Run some basic SAS procedures
12print(sd.means())
13print(sd.head())
14
15# Submit raw SAS code
16sas_code = """
17data work.test_results;
18    set work.test_data;
19    col3 = col1 + col2;
20run;
21"""
22sas.submit(sas_code)
23
24# Bring data back from SAS to a Pandas DataFrame
25df_results = sas.sd2df('test_results')
26print(df_results)
27
28# End the SAS session
29sas.disconnect()