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

Any valid string path is acceptable. 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.

If you want to pass in a path object, pandas accepts any os.PathLike.

By file-like object, we refer to objects with a read() method, such as a file handle (e.g. via builtin open function) or StringIO.

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