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Readstat itself cannot write sas (sas7bdat) files that sas can read, and i'm not fool enough to try to figure that out For example, you can load local graph database results from a kùzudb connection in conjunction with a cypher query, or use surrealql with surrealdb. It's not optimal but there aren't a lot of sas file readers because i don't think the documentation is very good for the file format
This seems too niche for the core polars lib Polars is able to support more than just relational databases and sql queries through this function This seems like a good candidate for a community supported plugin/library.
Sas reading is always a performance bottle neck for me, with or without chunksize
I usually export sas data as excel, or read it once with pd.read_sas and save it as other python binaries. This package provides a fast and convenient way to read sas datasets into polars dataframes Converting sas datasets in python often requires specific libraries. Reads and writes sas, spss and stata files into/from pandas and polars data frames
A python package to read and write sas (sas7bdat, sas7bcat, xport/xpt), spss (sav, zsav, por) and stata (dta) files into/from pandas and polars data frames It is a wrapper around the c library readstat.
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