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 :str, path object, or file-like object

String, path object (implementing os.PathLike[str]), or file-like object implementing a binary read() function. The string could be a URL. Valid URL schemes include http, ftp, s3, and file. For file URLs, a host is expected. A local file could be: file://localhost/path/to/table.sas.

format :str {‘xport’, ‘sas7bdat’} or None

If None, file format is inferred from file extension. 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 :str, 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.

Changed in version 1.2: TextFileReader is a context manager.

iterator :bool, defaults to False

If True, returns an iterator for reading the file incrementally.

Changed in version 1.2: TextFileReader is a context manager.

Returns

DataFrame if iterator=False and chunksize=None, else SAS7BDATReader

or XportReader