pandas.read_sas

pandas.read_sas(filepath_or_buffer, format=None, index=None, encoding=None, chunksize=None, iterator=False) [source]

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

© 2008–2012, AQR Capital Management, LLC, Lambda Foundry, Inc. and PyData Development Team
Licensed under the 3-clause BSD License.
https://pandas.pydata.org/pandas-docs/version/0.23.4/generated/pandas.read_sas.html