A sas7bdat file reader for Python
Project description
sas7bdat.py
===========
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.
Usage
=====
To create a sas7bdat object, simply pass the constructor a file path. The
object is iterable so you can read the contents like this:
```
#!python
from sas7bdat import SAS7BDAT
with SAS7BDAT('foo.sas7bdat') as f:
for row in f:
print row
```
The values in each row will be a `string`, `float`, `datetime.date`,
`datetime.datetime`, or `datetime.time` instance.
If you'd like to get a pandas DataFrame, use the `to_data_frame` method:
```
#!python
df = f.to_data_frame()
```
===========
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.
Usage
=====
To create a sas7bdat object, simply pass the constructor a file path. The
object is iterable so you can read the contents like this:
```
#!python
from sas7bdat import SAS7BDAT
with SAS7BDAT('foo.sas7bdat') as f:
for row in f:
print row
```
The values in each row will be a `string`, `float`, `datetime.date`,
`datetime.datetime`, or `datetime.time` instance.
If you'd like to get a pandas DataFrame, use the `to_data_frame` method:
```
#!python
df = f.to_data_frame()
```
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