Metadata-Version: 1.1
Name: sas7bdat
Version: 2.2.2
Summary: A sas7bdat file reader for Python
Home-page: https://bitbucket.org/jaredhobbs/sas7bdat
Author: Jared Hobbs
Author-email: jared@pyhacker.com
License: MIT
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 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:
        
        ::
        
            #!python
            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.date``, ``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:
        
        ::
        
            #!python
            df = reader.to_data_frame()
        
        `Variable
        attributes <https://support.sas.com/documentation/cdl/en/lrcon/65287/HTML/default/viewer.htm#n08fs0rt7fikeln1uh0t8v5pt25d.htm>`__
        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``)
        
Keywords: sas,sas7bdat,csv,converter
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Environment :: Console
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 2.6
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Text Processing
Classifier: Topic :: Utilities
