71 lines
2.5 KiB
Python
71 lines
2.5 KiB
Python
|
"""
|
||
|
Read SAS sas7bdat or xport files.
|
||
|
"""
|
||
|
from pandas import compat
|
||
|
from pandas.io.common import _stringify_path
|
||
|
|
||
|
|
||
|
def read_sas(filepath_or_buffer, format=None, index=None, encoding=None,
|
||
|
chunksize=None, iterator=False):
|
||
|
"""
|
||
|
Read SAS files stored as either XPORT or SAS7BDAT format files.
|
||
|
|
||
|
Parameters
|
||
|
----------
|
||
|
filepath_or_buffer : string or file-like object
|
||
|
Path to the SAS file.
|
||
|
format : string {'xport', 'sas7bdat'} or None
|
||
|
If None, file format is inferred. If 'xport' or 'sas7bdat',
|
||
|
uses the corresponding format.
|
||
|
index : identifier of index column, defaults to None
|
||
|
Identifier of column that should be used as index of the DataFrame.
|
||
|
encoding : string, default is None
|
||
|
Encoding for text data. If None, text data are stored as raw bytes.
|
||
|
chunksize : int
|
||
|
Read file `chunksize` lines at a time, returns iterator.
|
||
|
iterator : bool, defaults to False
|
||
|
If True, returns an iterator for reading the file incrementally.
|
||
|
|
||
|
Returns
|
||
|
-------
|
||
|
DataFrame if iterator=False and chunksize=None, else SAS7BDATReader
|
||
|
or XportReader
|
||
|
"""
|
||
|
if format is None:
|
||
|
buffer_error_msg = ("If this is a buffer object rather "
|
||
|
"than a string name, you must specify "
|
||
|
"a format string")
|
||
|
filepath_or_buffer = _stringify_path(filepath_or_buffer)
|
||
|
if not isinstance(filepath_or_buffer, compat.string_types):
|
||
|
raise ValueError(buffer_error_msg)
|
||
|
try:
|
||
|
fname = filepath_or_buffer.lower()
|
||
|
if fname.endswith(".xpt"):
|
||
|
format = "xport"
|
||
|
elif fname.endswith(".sas7bdat"):
|
||
|
format = "sas7bdat"
|
||
|
else:
|
||
|
raise ValueError("unable to infer format of SAS file")
|
||
|
except:
|
||
|
pass
|
||
|
|
||
|
if format.lower() == 'xport':
|
||
|
from pandas.io.sas.sas_xport import XportReader
|
||
|
reader = XportReader(filepath_or_buffer, index=index,
|
||
|
encoding=encoding,
|
||
|
chunksize=chunksize)
|
||
|
elif format.lower() == 'sas7bdat':
|
||
|
from pandas.io.sas.sas7bdat import SAS7BDATReader
|
||
|
reader = SAS7BDATReader(filepath_or_buffer, index=index,
|
||
|
encoding=encoding,
|
||
|
chunksize=chunksize)
|
||
|
else:
|
||
|
raise ValueError('unknown SAS format')
|
||
|
|
||
|
if iterator or chunksize:
|
||
|
return reader
|
||
|
|
||
|
data = reader.read()
|
||
|
reader.close()
|
||
|
return data
|