Reading SAS files from AWS S3

[ankitdhingra]

Currently the read_sas method doesn't support reading SAS7BDAT files from AWS S3 like read_csv.
Can it be added?

[jreback]

actually this should already work, have you tried it?

this goes thru the same filepath as is used by read_csv

[ankitdhingra]

I have tried it, but unfortunately it doesn't work. I get the following error:

---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
<ipython-input-3-009ad5a2cf9f> in <module>()
      2 pd.show_versions()
      3 
----> 4 pd.read_sas("s3:/bucket-url/temp.sas7bdat")

/home/anaconda2/lib/python2.7/site-packages/pandas/io/sas/sasreader.py in read_sas(filepath_or_buffer, format, index, encoding, chunksize, iterator)
     52         reader = SAS7BDATReader(filepath_or_buffer, index=index,
     53                                 encoding=encoding,
---> 54                                 chunksize=chunksize)
     55     else:
     56         raise ValueError('unknown SAS format')

/home/anaconda2/lib/python2.7/site-packages/pandas/io/sas/sas7bdat.py in __init__(self, path_or_buf, index, convert_dates, blank_missing, chunksize, encoding, convert_text, convert_header_text)
     94             self._path_or_buf = open(self._path_or_buf, 'rb')
     95 
---> 96         self._get_properties()
     97         self._parse_metadata()
     98 

/home/anaconda2/lib/python2.7/site-packages/pandas/io/sas/sas7bdat.py in _get_properties(self)
    100 
    101         # Check magic number
--> 102         self._path_or_buf.seek(0)
    103         self._cached_page = self._path_or_buf.read(288)
    104         if self._cached_page[0:len(const.magic)] != const.magic:

AttributeError: 'BotoFileLikeReader' object has no attribute 'seek'

The documentation doesn't mention the ability to read from S3 as well Pandas.read_sas

Output from pd.show_versions():

INSTALLED VERSIONS
------------------
commit: None
python: 2.7.12.final.0
python-bits: 64
OS: Linux
OS-release: 4.1.13-18.26.amzn1.x86_64
machine: x86_64
processor: x86_64
byteorder: little
LC_ALL: None
LANG: en_US.UTF-8

pandas: 0.18.1
nose: 1.3.7
pip: 8.1.2
setuptools: 23.0.0
Cython: 0.24
numpy: 1.11.1
scipy: 0.17.1
statsmodels: 0.6.1
xarray: None
IPython: 4.2.0
sphinx: 1.4.1
patsy: 0.4.1
dateutil: 2.5.3
pytz: 2016.4
blosc: None
bottleneck: 1.1.0
tables: 3.2.2
numexpr: 2.6.0
matplotlib: 1.5.1
openpyxl: 2.3.2
xlrd: 1.0.0
xlwt: 1.1.2
xlsxwriter: 0.9.2
lxml: 3.6.0
bs4: 4.4.1
html5lib: None
httplib2: None
apiclient: None
sqlalchemy: 1.0.13
pymysql: None
psycopg2: None
jinja2: 2.8
boto: 2.40.0
pandas_datareader: None

[jreback]

hmm, this may require something more then.

cc @kshedden
cc @TomAugspurger; xref #13137