Module « pandas »
Signature de la fonction read_sas
def read_sas(filepath_or_buffer: Union[ForwardRef('PathLike[str]'), str, IO[~T], io.RawIOBase, io.BufferedIOBase, io.TextIOBase, _io.TextIOWrapper, mmap.mmap], format: Optional[str] = None, index: Optional[Hashable] = None, encoding: Optional[str] = None, chunksize: Optional[int] = None, iterator: bool = False) -> Union[ForwardRef('DataFrame'), pandas.io.sas.sasreader.ReaderBase]
Description
read_sas.__doc__
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.
.. versionchanged:: 1.2
``TextFileReader`` is a context manager.
iterator : bool, defaults to False
If True, returns an iterator for reading the file incrementally.
.. versionchanged:: 1.2
``TextFileReader`` is a context manager.
Returns
-------
DataFrame if iterator=False and chunksize=None, else SAS7BDATReader
or XportReader
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