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 handler (e.g. via builtin open function) or StringIO. format : string {‘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 : 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