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A sas7bdat file reader for Python
Project description
This module will read sas7bdat files using pure Python (2.6+, 3+). No SAS softwarerequired! The module started out as a port of the R script of the same namefound here: https://github.com/BioStatMatt/sas7bdat but has since beencompletely rewritten.
Also included with this library is a simple command line script,
sas7bdat_to_csv
, which converts sas7bdat files to csv files. It will alsoprint out header information and meta data using the --header
option and itwill 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 Ifound on the internet. For the most part, it works well. We can now readcompressed files!
I'm sure there are more issues that I haven't come across yet. Please let meknow if you come across a data file that isn't supported and I'll see if I canadd support for the file.
To install, run:
To create a sas7bdat object, simply pass the constructor a file path. Theobject is iterable so you can read the contents like this:
Each row will be a list of values of type
string
, float
, datetime.date
,datetime.datetime
, or datetime.time
. Without skip_header
, the first rowreturned will be the SAS variable names.
If you'd like to get a pandas DataFrame, use the
to_data_frame
method:
Variableattributesare available from
reader.columns
. The order of these columns will be the sameas the corresponding values in each row
. Each Column
has the followingattributes:
col_id
(int
) - the column numbername
(bytes
)label
(bytes
)format
(str
)type
(str
)length
(int
)
Release historyRelease notifications
2.2.3
2.2.2
2.2.1
2.2.0
2.1.2
2.1.1
2.0.7
2.0.6
2.0.5
2.0.4
2.0.3
2.0.2
2.0.1
2.0.0
1.0.5
1.0.4
1.0.3
1.0.2
1.0.1
1.0.0
0.2.5
0.2.4
0.2.3
0.2.2
0.2.1
0.2.0
0.1.2
0.1.1
0.1.0
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