pandas.read_sas

pandas.read_sas(filepath_or_buffer: FilePathOrBuffer, format: Optional[str] = '...', index: Optional[Label] = '...', encoding: Optional[str] = '...', chunksize: int = '...', iterator: bool = '...') → ReaderBase

pandas.read_sas(filepath_or_buffer: FilePathOrBuffer, format: Optional[str] = '...', index: Optional[Label] = '...', encoding: Optional[str] = '...', chunksize: None = '...', iterator: bool = '...') → Union[‘DataFrame’, ReaderBase]

Read SAS files stored as either XPORT or SAS7BDAT format files.

Parameters

filepath_or_bufferstr, 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.

formatstr {‘xport’, ‘sas7bdat’} or None

If None, file format is inferred from file extension. If ‘xport’ or ‘sas7bdat’, uses the corresponding format.

indexidentifier of index column, defaults to None

Identifier of column that should be used as index of the DataFrame.

encodingstr, default is None

Encoding for text data. If None, text data are stored as raw bytes.

chunksizeint

Read file chunksize lines at a time, returns iterator.

iteratorbool, 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

pandas.read_orc pandas.read_spss