ó šxŠ\c@sBdZddlmZddlmZdddded„ZdS(s# Read SAS sas7bdat or xport files. iÿÿÿÿ(tcompat(t_stringify_pathc CsF|dkrŠd}t|ƒ}t|tjƒs?t|ƒ‚n|jƒ}|jdƒrcd}qŠ|jdƒr{d}qŠtdƒ‚n|jƒdkrÍddlm }||d |d |d |ƒ} nO|jƒdkrdd l m } | |d |d |d |ƒ} n td ƒ‚|s(|r,| S| j ƒ} | j ƒ| S(s Read SAS files stored as either XPORT or SAS7BDAT format files. 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 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 : 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 sVIf this is a buffer object rather than a string name, you must specify a format strings.xpttxports .sas7bdattsas7bdats"unable to infer format of SAS fileiÿÿÿÿ(t XportReadertindextencodingt chunksize(tSAS7BDATReadersunknown SAS formatN(tNoneRt isinstanceRt string_typest ValueErrortlowertendswithtpandas.io.sas.sas_xportRtpandas.io.sas.sas7bdatRtreadtclose( tfilepath_or_buffertformatRRRtiteratortbuffer_error_msgtfnameRtreaderRtdata((s6lib/python2.7/site-packages/pandas/io/sas/sasreader.pytread_sas s6           N(t__doc__tpandasRtpandas.io.commonRR tFalseR(((s6lib/python2.7/site-packages/pandas/io/sas/sasreader.pyts