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_bufferstr, 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.
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.

Changed in version 1.2: TextFileReader is a context manager.
iteratorbool, defaults to False: If True, returns an iterator for reading the file incrementally.

Changed in version 1.2: TextFileReader is a context manager.

Returns

pandas.read_orc

pandas.read_spss