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29 paź 2019 · 1. Ditch the .sas file and put it's contents directly into your notebook as such: results_dict = sas.submit( """ libname tera teradata server=teracop1 user=user pw=pw; proc print data=tera.dsname (obs=10); run; """ ) 2. Read the file contents into Python and then submit:
23 cze 2014 · You need to tell SAS where to find the AUTOEXEC file. You need to tell SAS where to find the config file. I have a shell script that I use to invoke SAS scripts and the call looks like: sas -config $SAS_CONFIG -autoexec $SAS_AUTOEXEC $SAS_CODE/$1.
within the same Python file, we can now use sas to execute SAS code or operate on SAS datasets. We can also get the full SAS session log at any point using print(sas.saslog()).
10 sty 2018 · The SASPy package enables you to connect to and run your analysis from SAS 9.4 using the object-oriented methods and objects from the Python language as well as the Python magic methods. SASPy translates the objects and methods added into the SAS code before executing the code.
8 kwi 2017 · SASPy connects to a SAS environment to access data and code/models that are maintained in your SAS ecosystem. It opens the door for more collaboration, removing a barrier that might otherwise be present when one group works in SAS but another works in Python.
10 maj 2022 · Not only you can run Python statements from SAS, but you can leverage built-in accelerators (PROC PYTHON callback methods) to streamline the process between SAS and Python: share macro-variables, invoke SAS functions, run SAS code, transfer data back and forth between SAS and Python.
11 wrz 2024 · This module provides Python APIs to the SAS system. You can start a SAS session and run analytics from Python through a combination of object-oriented methods or explicit SAS code submission. You can move data between SAS data sets and Pandas dataframes and exchange values between python variables and SAS macro variables.
