This module will read sas7bdat files using pure Python (2.6+, 3+). No SAS software required! The module started out as a port of the R script of the same name found here: https://github.com/BioStatMatt/sas7bdat but has since been completely rewritten.
Also included with this library is a simple command line script,
sas7bdat_to_csv, which converts sas7bdat files to csv files. It will also
print out header information and meta data using the
--header option and it
will batch convert files as well. Use the
--help option for more information.
As is, I've successfully tested the script almost three hundred sample files I found on the internet. For the most part, it works well. We can now read compressed files!
I'm sure there are more issues that I haven't come across yet. Please let me know if you come across a data file that isn't supported and I'll see if I can add support for the file.
To install, run:
pip install sas7bdat
To create a sas7bdat object, simply pass the constructor a file path. The object is iterable so you can read the contents like this:
from sas7bdat import SAS7BDAT with SAS7BDAT('foo.sas7bdat', skip_header=True) as reader: for row in reader: print row
Each row will be a list of values of type
skip_header, the first row
returned will be the SAS variable names.
If you'd like to get a pandas DataFrame, use the
df = reader.to_data_frame()
are available from
reader.columns. The order of these columns will be the same
as the corresponding values in each
Column has the following
int) - the column number