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 binaryread()
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
- DataFrame if iterator=False and chunksize=None, else SAS7BDATReader
- or XportReader