Skip to main content

A sas7bdat file reader for Python

Project description

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: 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 string, float,, datetime.datetime, or datetime.time. Without skip_header, the first row returned will be the SAS variable names.

If you'd like to get a pandas DataFrame, use the to_data_frame method:

df = reader.to_data_frame()

Variable attributes are available from reader.columns. The order of these columns will be the same as the corresponding values in each row. Each Column has the following attributes:

  • col_id (int) - the column number
  • name (bytes)
  • label (bytes)
  • format (str)
  • type (str)
  • length (int)

Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

sas7bdat-2.2.3.tar.gz (16.1 kB view hashes)

Uploaded source

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page