python-swat
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The SAS Scripting Wrapper for Analytics Transfer (SWAT) package is the Python client to SAS Cloud Analytic Services (CAS). It allows users to execute CAS actions and process the results all from Pyth...
I have dataset (2,3 gb) in cas and want to bring to data frame, so I can pandas . this takes more than 30 minutes. we have a large sas...
My Python client is a local Jupyter notebook application running on my laptop. On my server, I have published both the HTTP and Binary CAS Node ports and also exposed...
There's `value_counts` method in the documentation. https://sassoftware.github.io/python-swat/generated/swat.cas.table.CASTableGroupBy.value_counts.html#swat.cas.table.CASTableGroupBy.value_counts There's no such method in the implementation. There's `count()` instead, which is not documented, though.
`fillna`, `replace`, and `dropna` methods on `CASTable` are implemented but they are missing from the API Reference page in https://sassoftware.github.io/python-swat/api.html
When using the crossTab action with the col= parameter, it does not return the column names. It adds default column names to the SASDataFrame. You need to add an extra...
When you use to_methods like **to_csv**, or any of the plotting methods on a CAS table the **swat.options.cas.dataset.max_rows_fetched** options limits to the default of 10,000. This makes sense to prevent...
Hi, I am developing a backend API which extract data from CAS and returns it to the caller. Since from the backend point of view every CAS action called is...
Hi, I am trying to write a large set of cashflows to a cas table. I am using from_records. I create a SASDataframe and pass it to from_records. However, when...
Hello I've got an issue to connect to CAS with SWAT 1.9.3 which I don't understand. Can u help me please? Regards Fabrice I attach you screenshot from my notebook....
read_excel from SWAT works different that read_excel from Pandas, wich makes me unable to read Date column as a Datetime value. **SWAT**: storm_damage = conn.read_excel("D:\Workshop\VIYAPY\storm.xlsx", sheet_name="Storm_Damage", casout=dict(name="STORM_DAMAGE", replace=True, caslib="Public")) It...