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:

Parameters:	filepath_or_buffer : string or file-like object Path to the SAS file. format : string {?xport?, ?sas7bdat?} or None If None, file format is inferred. 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

filepath_or_buffer : string or file-like object

Path to the SAS file.

format : string {?xport?, ?sas7bdat?} or None

If None, file format is inferred. 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

Links:

doc_Pandas

2017-01-12 04:50:35

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